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Role of OPC UA in OPAF (Open Process Automation Forum) Standard

Role of OPC UA in OPAF (Open Process Automation Forum) Standard

OPC UA

Open Process AutomationTM Standard (O-PASTM  Standard) or “Standard of Standards” as it’s popularly known is an initiative to create a new age automation system with a different architecture than the existing process automation systems that uses Distributed Control Systems (DCS) and Programmable Logic Controllers (PLCs). As automation applications require ultra-high availability and real-time performance, process automation systems have always been highly proprietary. The reason behind developing this standard is to transform from a closed, proprietary, distributed control systems towards a standards-based open, secure and interoperable process automation architecture.

Open Process AutomationTM Standard encompasses multiple individual systems:

  • Manufacturing execution system (MES)
  • Distributed control system (DCS)
  • Safety instrumented systems (SIS)
  • Input/output (I/O) points, programmable logic controllers (PLCs), and human-machine interface (HMIs)

In 2016, The Open Group launched the Open Process AutomationTM Forum (OPAF) to create an open, secure and interoperable process control architecture to:

  • Facilitate access to leading-edge capacity
  • Safeguard asset owner’s application software
  • Easy integration of high-grade components
  • Use an adaptive intrinsic security model
  • Facilitate innovation value creation

This blog aims to show why and how OPC UA can be applied to realize the Open Process AutomationTM Standard. Before that, let us be familiar with the Open Process AutomationTM Forum. In simple terms, The Open Group Open Process Automation™ Forum is an international forum that comprises users, system integrators, suppliers, academia, and organizations.

These stakeholders work together to develop a standards-based, open, secure, and interoperable process control architecture called Open Process AutomationTM Standard or O-PASTM. In version 1 of O-PASTM, published in 2019, the critical quality attribute of interoperability was addressed. In version 2, published in January 2020, the O-PASTM Standard addressed configuration portability, and version 3.0 will be addressing application portability.

Version 1.0 of the O-PASTM Standard unlocks the potential of emerging data communications technology. Version 1.0 was created with significant information from three existing standards:

  • ANSI/ISA 62443 for security
  • OPC UA from IEC as IEC 62541 for connectivity
  • DMTF Redfish for systems management

The seven parts that makeup the latest preliminary 2.1 version of O-PASTM Standard are:

  • Part 1 – Technical Architecture Overview
  • Part 2 – Security (informative)
  • Part 3 – Profiles
  • Part 4 – Connectivity Framework (OCF)
  • Part 5 – System Management
  • Part 6 – Information Models based on OPC UA (Multipart specification ranging from 6.1 to 6.6)
  • Part 7 – Physical Platform

Part 1 – Technical Architecture Overview

This informative part demonstrates an OPAS-conformant system through a set of interfaces to the components.

Part 2 – Security

This part addresses the cybersecurity functionality of components that should be conformant to O-PASTM. This part of the standard also explains the security principles and guidelines incorporated into the interfaces.

Part 3 – Profiles

This part of the version defines the hardware and software interfaces for which OPAF needs to develop conformance tests and ensure the interoperability of the products. A profile describes the set of discrete functionalities or technologies available for each DCN. They may be composed of other profiles, facets, as well as individual conformance requirements.

Part 4 – O-PASTM Connectivity Framework (OCF)

This part forms the interoperable core of the system, and OCF is more than a network. OCF is the underlying structure that enables disparate elements to interoperate as a system. This is based on the OPC UA connectivity framework.

Part 5 – System Management

This part covers the basic functionality and interface standards that allow the management and monitoring of functions using a standard interface. The system management addresses the hardware, operating systems, and platform software, applications, and networks.

Part 6 – Information and Exchange Models

This part defines the common services and the common information exchange structure that enable the portability of applications such as function blocks, alarm applications, IEC 61131-3 programs, and IEC 61499-1 applications among others.

Part 7 – Physical Platform

This part defines the Distributed Control Platform (DCP) and the associated I/O subsystem required to support O-PASTM conformant components. It defines the physical equipment used to embody control and I/O functionality.

O-PASTM Standard version 2.0:

The O-PASTM Standard supports communication interactions within a service-oriented architecture. In automation systems, it outlines the specific interfaces of the hardware and software components used to architect, build, and start-up automation systems for end-users. The vision for the O-PASTM Standard V2.0 addressed configuration portability and can be used in an unlimited number of architectures. Meaning, every process automation system needs to be “fit for a reason” to meet specific objectives.

Why OPC UA is important for Open Process AutomationTM Forum

The lower L1, L2 layers of the automation pyramid is heavily proprietary with a tight vendor control over the devices where the PLC’s, DCS, sensors, actuators and IO devices operate. This is where the vendors have strong hold over the end-users. As a revenue generating path, they are reluctant to lose this advantage. Additionally, this poses interoperability, security and connectivity issues causing significant lifecycle and capital costs for the stakeholders.

This inherent lack of standardization in the lower OT layers is a constant pressure point for the automation industry. O-PASTM Standard solves this standardization & connectivity issue and uses OPC UA as one of the foundation for developing this standard. This de-facto standard is used for open process automation integrating controls, data, enterprise systems and serves as a fundamental enabler for manufacturers.

Building the basic components of this standard (like DCN, gateways, OCI interfaces, OCF) using OPC UA helps them achieve secure data integration and interoperability at all levels of the IT/OT integration. This involves leveraging the OPC UA connectivity (Part 4 of O-PASTM and information modeling capabilities (Part 6 of O-PASTM) which play a key role in the O-PAS™ reference architecture.

How O-PASTM leverages OPC UA

From the below architecture diagram it’s evident that a Distributed Control Node (DCN) is the heart of the OPAF architecture. Here a single DCN is similar to a small machine capable of control, running applications, and other functions for seamless data exchange with the higher Advanced Computing Platform (ACP) layers. This component interfaces with the O-PASTM Connectivity Framework (OCF) layer that is based on the OPC UA connectivity framework.

The connectivity framework allows interoperability for process-related data between instances of DCNs. It also defines the mechanisms for handling the information flow between the DCN instances. The framework defines the run-time environments used to communicate data.

Basically each DCN has a profile which describes a set of full-featured definition of functionalities or technologies. For example:

  • DCN 01 Profiles (Type – IO + Compute)
  • DCN 04 Profiles (Type – Protocol Convert + DCN Gateway)

The DCNs (i.e. O-PAS conformant components) are built conforming to anyone of the primary profiles specified in the O-PASTM:

OBC O-PAS Basic Configuration
OCF O-PAS Connectivity Framework (OPC UA Client/server, OPC UA PubSub profiles)
OSM O-PAS System Management
NET Network Stack
CMI Configuration Management Interface
SEC Security
DCP Distributed Control Platform (Physical hardware)

The OPC UA information model capability is used to define and build these DCN profiles. Part 6 of the O-PASTM and its subparts defines related set of information and exchange models, such as basic configuration, alarm models, or function block models. This provides a standard format used for the exchange of import/export information across management applications. It also provides standard services used for the download/upload of information to O-PASTM conformant components.

According to the report OPC UA Momentum Continues to Build published by the ARC Advisory Group and endorsed by the OPC Foundation, it provides timely insights into what makes OPC UA the global standard of choice for industrial data communications in process and discrete manufacturing industries. From an IIoT and Industry 4.0 perspective, the report examines how the OPC UA technology is the standard that solves the interoperability challenges.

Key take-away from the report that help maximize OPC UA adoption include:

  • OPC UA standard is open and vendor agnostic, and the standard and Companion Specifications are freely available to everyone.
  • OPC UA is an enabler for next-generation automation standards that will, potentially change the industry structure of process automation e.g. Ethernet Advanced Physical Layer (Ethernet APL), NAMUR Open Architecture, and the Open Process Automation Forum (OPAF)
  • OPC UA is arguably the most extensive ecosystem for secured industrial interoperability
  • OPC UA is independent of underlying transport layers. As such, it uses the most suitable transports for the right applications (ex. TCP, UDP, MQTT, and 5G)
  • OPC UA is highly extensible via its Information Modeling (IM) capabilities. This makes OPC UA an excellent fit for use by automation vendors and other standards organizations wishing to express and share semantic data seamlessly across all verticals.
  • The OPC Foundation Field Level Communications (FLC) Initiative is defining a new OPC UA Field eXchange (OPC UA FX) standard that is supported by virtually all leading process automation suppliers.
  • OPC UA FX will extend OPC UA to the field level to enable open, unified, and standards-based communications between sensors, actuators, controllers, and the cloud.
  • Forward-looking companies should make OPC UA a crucial part of their long-term strategies today because the changes this technology brings will become a necessity faster than most people anticipate

Source: https://www.automation.com/en-us/articles/june-2021/opc-ua-most-important-interoperability-technology

Conclusion

OPAF is making outstanding records in creating a comprehensive, open process automation standard. Since it is partially built on other established industry standards like OPC UA, the O-PASTM Standard can improve interoperability in industrial automation systems and components.

OPAF fulfills its mission to deliver effective process automation solutions with the collaborative efforts of the OPC Foundation. Utthunga’s expertise in OPC UA standard and by adopting our OPC related products and solutions, businesses can benefit from low implementation and support costs for end-users and enable vendors to experiment around an open standard.

Get in touch with our OPAF experts to experience a new-age open, secure by design and interoperable process automation ecosystem.

How IO-Link Protocol enhances Factory Automation and Benefits End Industries?

How IO-Link Protocol enhances Factory Automation and Benefits End Industries?

The current wave of the industrial revolution, also known as the Industrie 4.0, has proven to improve the production process in various aspects. To realize the promised benefits, a strong communication protocol that allows semantic interoperability among interconnected devices is needed. In manufacturing industries where processes are greatly dependent on the industrial sensors and actuators, there are a few challenges that hinder seamless plant floor communication.

Take for example, the use of 4-20mA analog signals for communication between proximity switches and sensors. Although this produced satisfactory results, it did not provide any scope for diagnostics. So, the issues in the process go unnoticed until the whole system comes to a standstill. The combination of digital and analog devices also requires multiple cable and hence a tedious installation and maintenance process.

To overcome such challenges, the IO-Link Consortium Community, an organization in which key user companies from various industries and leading automation suppliers join forces to support, promote and advance the IO-Link technology. With over 120 members and strong support in Europe, Asia and the Americas, IO-Link has become the leading sensor and actuator interface in the world. The common goal of these companies is to develop and promote a unified and bi-directional communication architecture that involved an easy implementation process and the ability to diagnose the errors at the right time. The IO-Link protocol thus came as a knight in shining armor for the industries to help them gain the best of the Industrie 4.0.

IO-Link is a robust; point-to-point communication protocol specifically designed for devices like actuators and sensors. The IO-Link client is independent of the control network and communicates with an IO-Link master port. This port is placed on a gateway and transfers the data and or signals to the control system for further operations.

IO-Link proves to be beneficial for the factory automation processes especially in the digital era ofIndustrial Automation. With embedded software systems now becoming an inevitable part of industries, more IO-Links help them to leverage the power of Industrial automation and IIoT.

To get a gist of the benefits you can expect through the proper implementation of IO-Links, read the entire blog.

IO-Link Wired setup enhances factory automation communication for Industry 4.0 applications

Incorporating automation processes into an existing manual based manufacturing end processes are a primary challenge that IR4.0 possesses. To overcome this, many factory communication protocols have been introduced by various institutions.

For the device level, the communication IO-Link protocol is the most viable options to choose from. The reason being many, that we shall discuss in the next section. On the factory floor, IO-Link has long been seen as a wired communication network.

A basic IO-Link communication cycle involves:

  • A request from the master device
  • Waiting Time- for the request to reach the client device
  • Processing time of the request from the client device
  • Answer from the device to the master.
  • Waiting Time- for the answer to reaching the master.

In general, factory automation units have wired IO-Links that offer high flexibility and enhances the communication systems between the controllers and the system actuators and sensors. However, with the advent of reliable wireless networks, industries are now adopting wireless IO-Link set up these days.

The popularity of the IO-Link for the communication between sensors, actuators, and the control level is steadily increasing with each passing year. In a wireless setup, an approximate 5ms maximum cycle is achievable with high probability. In addition to this, it also provides the required flexibility in automation solutions and opens door to the possibility of using battery-powered or energy-harvesting sensors as well.

How IO-Link Benefits OEMs and End Users

As already mentioned, IO-Link be it wired or wireless creates ripples of benefits for OEMs and ends users.As already mentioned, IO-Link be it wired or wireless creates ripples of benefits for OEMs and ends users. One of the advantages of IO-Link is that by incorporating the smart sensors with IO-Link, you can optimize your smart factory with powerful data and diagnostics and prepare them for the future – to increase your uptime and productivity. Along with faster time to market and lower total cost of ownership, OEMs and end usersalso benefit from improved asset utilization and risk management.

Typically a smart sensor functions as a regular sensor unless it’s connected to an IO-Link master. When connected, you can leverage all the advanced configuration data capabilities that IO-Link has to offer.

Let us have a look into some of the key advantages of implementing IO-Link for OEMs and end users.

Enables better maintenance

One of the main reason behind the popularity of the IO-Link is its diagnostic capabilities. It means the servers are informed well in advance about any forthcoming issues. This makes them ready for need-oriented maintenance and a better factory automation system.

Efficient operation

As IO-Link sensors are independent of the control network and their accessibility no longer plays a role in automation, you can place them directly at the point of operation. This means the machining process can be optimized to operate at maximum efficiency in the minimum time frame.

Consistent Network

The IO-Link being a standard communication protocol between IO sensors/actuators and the control network brings consistency in your automation network. So you get to integrate more devices into your IO-Link protocol network and introduce flexibility to your network.

Makes your system versatile and future proof

IO-Link sensors and actuators do more than just process and transmitting data to and from the control network. IO-Link protocol integration facilitates reliable and efficient communication between devices. Having IO-Link devices means your system has access to integrated diagnostics and parameterization which also reduces the commissioning time to a great extent. Overall it imbibes versatility to your system and makes it ready for the future of IIoT.

Enables processing of three types of data

With the IO-Link, you can access and process three types of data namely process data, service data, and event data.

  • Process data includes data such as temperature, the pressure that is transmitted by the sensors or actuators upon request from the IO-Link master request.
  • Service data refers to the one related to the product and not process and includes manufacturer name, product model number, and the like.
  • Event data usually comes from sensors when any event notification has to be raised like an increase in pressure.

Provides IODD for each IO device

IO-Link protocol integration assigns each IO device with an IODD or IO Device Description such that the master manufacturers display the same IODD for each of their devices. This way, the operability of all the IO-Links is uniform irrespective of the manufacturer.

Reduces or eliminates wired networks

Since IO-Link protocol integration allows uniformity among the sensors, actuators, and control system, there is no need for separate wires. This way the number of wires can be reduced to a great extent. As wireless networks reign the IIoT arena, the concept of wireless IO-Link protocol integration is also gaining popularity.

Increases machine availability

With IO-Link protocol porting, you can enjoy an errorless and fast data exchange between sensors, actuators, and the control system. This increases the operation speed and reduces the downtime and improves the commissioning processes. Overall the machine errors are reduced thereby giving you more out of the machines.

Conclusion

The 21st century has paved the way to better industrial processes through the advent of industrial automation or the IR4.0. IO-Link protocol porting and IO-Link protocol integration has greatly helped OEMs and end-users alike, in making their production process in compliance with the IIoT set up. If you are looking for a reliable and flexible IO protocol integration for your plant, we at Utthunga have the state of the art technologies.

 

8 Advantages of IO-Link

8 Advantages of IO-Link

IO-Link – an integral part in the Industrial Automation

As more devices are interconnected at the factory level, the automation process greatly depends on seamless communications between devices from the shop floor such as sensors and actuators to the control systems like PLCs, and others. To ensure this, IO-Link is one of the first standardized input-output data communication protocol that connect devices bi-directionally. It means the devices are paired in a point-to-point communication that they can transmit information to and fro.

IO-Link enables point-to-point communication over short distances. Such an effective, seamless communication protocol is undoubtedly one of the crucial elements of the factory automation process that comes in as a part of Industry 4.0. Implementing the effective IO-Link strategies plays an important role in the overall network efficiency. Not only this, it facilitates ease of configuration as it reduces the number of wires and connections for OEMs and the end-users alike. IO-Link handles data types like process data, parameter data, and event data. All of these make it somewhat similar to a universal connector, which reduces downtime and improves visibility into the plant floor.

Why is an IO-Link required?
One of the most critical challenges in implementing an automated factory setup is setting up effective communication between devices at the ground level. For the manufacturing industry, IO-Link is required for more reasons than one.

First, it fills in the communication gap present even at the lowest automation hierarchy level. It also acts as a liaison in identifying error codes and help the service professionals troubleshoot the issue without shutting down the production or manufacturing process. It also makes remote access possible wherein the users are connected to a master/network to verify and configure the required sensor-level information.

Holistically put, we can say industries require IO-Link if they are looking for a cost-effective way to improve their efficiency and machine availability, which are crucial elements in implementing a successful automated factory. To understand this further, we have jotted down the top eight advantages of the IO-Link in this article’s next section.

Top 8 Advantages of IO-Link

Easy Connection of Field Level Devices

Embedding IO-Link in your field-level devices like sensors and actuators facilitates better data transfer between them and the controllers via an IO-Link master. It in turn, enables you to connect the sensors and controllers like PLC, HMI, SCADA, etc. without worrying about loss of data.

Enhanced Diagnostic Capability

One of the crucial issues that cause hindrance in implementing a seamless automation experience is that errors in data processing or handling go unnoticed or are discovered quite late. It may lead your manufacturing or production unit to go to a standstill. With the IO-Link, since the communication is bidirectional and more visible, errors can be detected and examined for severity at the right time. It helps in troubleshooting the issues without stalling the production processes.

Better Data Storage and Data Availability

IO-Link offers improved data storage options. IO-Link offers parameterization of data that can be stored within the IO-Link master. This makes the automatic configuration of the IO-Link possible. Also, the types of data available vary from process data, service data, and event data. Process data is the information that a machine sends or measures; the service data refers to the report that spells the technical and manufacturing details of the device. The event data is the information such as notifications or upgrades that are critical and time-specific.

Remote Access to Device Configuration and Monitoring

IO-Link enables users to connect via IO-Link master or a network for remote access to sensors, actuators, controllers from virtually any location. It allows users to examine and modify the device parameters when required from anywhere. It improves overall productivity and plant efficiency.

Auto Device Replacement

Not only does the IO-Link allow remote access to device settings, but the data storage capacity also facilitates automated parameter reassignment. It makes device replacement a lot easier and hassle-free. Users can easily import all the required data to the replaced device and continue their factory automation process.

Simplified Wiring

Since the IO-Link is free of any complicated wiring, it reduces the hassles related to the same. As it supports many communication protocols, the IO-Link devices can be configured with existing wiring, reducing the overall implementation costs to a minimum. It also does not require any analog sensors and actuators, which in turn negates the need for additional connection wires.

Device Validation

IO-Link offers users to carry out device validation before leveraging them for the production process. It also empowers users to make an informed decision like pairing the IO devices with the correct IO master link.

Saves Time and Money During Device Setup

As the IO-Link does not require an additional setup for configuration and is compatible with many communication devices, the device setup becomes easy and does not require much time. With automation, you can reduce the time required for device setup, all within your budget constraint.

Conclusion

To stride ahead in the digital world, you need to be clear about your goals and objectives regarding adopting new technologies. Utthunga’s IO-Link Master Stack and configurator are appreciated throughout the industrial space for the quality we serve. Our team of experts guide you through the implementation and maintenance process for your manufacturing or production, so you leverage the ultimate benefits of deploying an IO-Link system into your network.

If reduced operational costs and improved plant efficiency are what you need, then contact us, and we will make sure our IO-Link products do the magic for you.

Containerization in Embedded Systems: Industry 4.0 Requirement

Containerization in Embedded Systems: Industry 4.0 Requirement

Embedded systems are a ubiquitous and crucial part of the industrial automation. Whether it’s a small controller, an HVAC, or a complicated system, embedded systems are everywhere in the manufacturing space. You need embedded systems to help in improving the performance, operational and power efficiency and to even control processes in the complex industrial realms. Building and maintaining an embedded system, the software that goes into these systems, is anything but a trivial task. It requires specialized tools like build tools, cross compiler, unit test tools, and documentation generators among others. The process of setting up such an embedded environment in your system could therefore be quite overwhelming. Docker helps in making the whole process a lot easier and manageable. Docker is similar to virtual machines but is a light-weight version of the same. This creates containers that share common components with the Docker installation.

How can Docker run on an embedded system?

Dockers are one of the preferred containers used by software developers these days. Embedded system developers are also now leveraging the benefits containers bring into their software through Dockers. Installing Docker is relatively easy and it supports different OS platforms. Once installed, you need to define a run time environment with a Docker file and create a Docker image. Once this is done, all you are left is to execute the image with the run command and share the files between the host and container. To share, you need to create a bind mount which is created every time you run an image with the “mount” option. Since embedded systems have a fairly slow rate of system update changes, you can use the lightweight Docker on a minimum build then start layering on top of it. However, running Docker on an embedded system comes with its own set of challenges. For example, Docker uses the latest LINUX kernel, which may not match the embedded system’s kernel features. Another important hurdle that developers often face is that Docker image architecture should match the run time environment.

Containers and Industrial Automation

Containerization of software applications is fast gaining popularity and is speculated to disrupt the “industrial automation” as we know today, for good. For developers, the array of container images means the collaborative creation of software deliverables is possible without overlooking the requirements for running an application within a machine environment. With the introduction of containers, industrial automation may also witness an end to the vertically integrated business model, which hasn’t changed much since the times of PLCs and DCSs. This is because the acceptance of containerization has paved the way for an efficient embedded system and easier implementation of the same into the current Industry 4.0 scenarios. It also makes automation accessible and easy to deploy in various machines.

Containers and Maintenance (Sustenance Engineering) of Embedded Systems

The industrial OT world traditionally consists of proprietary embedded systems that focus on reliability, longevity and safety.With technology advancements, maintenance of these older systemshas become a burden. The wide popularity of containerization has made containerization an important maintenance strategy for the embedded systems. Product sustenance or re-engineering is basically fine tuning your released products to add new services and enhance their existing features. It virtually extends your end of the lifecycle or older products with periodic fixes, updates and enhancements that assures reduced maintenance costs, help maximize profits as well as retain your customers. Some of the ways in which containerization adds value to your sustenance engineering are:
  • Ready to implement container images reduce the development time needed for application updates, defect fixes or new features enhancements
  • Resource utilization and sharing is optimized with better maintenance plans
  • Container frameworks and prebuilt tool chains enable the development and maintenance of applications on multiple embedded hardware platforms like STM32, Kinetis, ARM series etc.
  • Software containerization and isolation of other processes and applications protects your application from hacks and attacks. This security aspect limits the effect of a vulnerability to that particular container and thus not compromise the entire system.

Key Benefits of Docker Containers on Embedded Systems

There are multiple motivations to leverage Docker containers benefits in an embedded environment. Easy to use, they provide a lightweight and minimal way to solve legacy architecture problems etc.
  1. Docker supports Windows, iOS, and Linux
  2. Developers can use the tools available in their local development environment. It means they need not install tools to run a Docker on the embedded system
  3. Developers can check the code against toolchains without worrying about tools co-existing.
  4. Your development team can use the same tools and build environment without having to install them
  5. Containers enable edge computing and convergence of services at the edge or gateway level
  6. The pre-integrated container platform allows developers to create applications that scale up to their business requirements and deliver qualitytime-to-market solutions in an accelerated manner
  7. Containers allows isolation of storage, network, and memory resources among others enabling developers to have an isolated and logical view of the OS
  8. Portability of containers allows it to run anywhere allowing greater flexibility in the development and deployment of applications on any OS or development environment.

Conclusion

Even with its set of challenges, Docker seems to be the game-changer in the Industry4.0 era. With embedded systems playing a pivotal role in many industries, your developers can use Docker to deploy automated machines. If you want smart solutions for a decentralized plant floor, you need to get professional development assistance from Utthunga. We help you create embedded systems that truly bring out the best degree of productivity for your company. Leverage Utthunga’s embedded system consultations services and products which have transformed industries across various verticals includingdiscrete, process, oil and gas, and power industries. Contact us to know more.  
5 Important Considerations Before Modernizing Your Legacy Industrial Software Applications

5 Important Considerations Before Modernizing Your Legacy Industrial Software Applications

Introducing innovative business practices is common among industries, thanks to the changing market landscape demanding for newer, better, and focused solutions.

Dell surveyed 4000 global business leaders among which 89% agreed that the pandemic has forced the need for a more agile and scalable IT environment. As per the statistics of Dell’s Digital Transformation Index 2020, 39% of companies already have mature digital plans, investments, and innovations in place, which is 16% higher than in the year 2018.

Having said that, the industries must have robust and flexible backend systems to handle newer processes and technology. Legacy systems are software programs or outdated systems and are not integrated with other business solutions. Due to their conventional design and infrastructure, they may not be able to perform a more efficient operation process than modern cloud systems

Digital transformation of the legacy industrial software applications is the process of modernizing an operational system to maintain and extend investments in that system.

The digital transformation process of legacy systems is generally large-scale and involves both infrastructure and application modernization. Since these legacy systems are outdated and lack robust security, industries need to transform their legacy applications to avoid data breaches and failure. This blog will cover the digital transformation of legacy applications and the factors you should consider before starting the shift.

Need for Modernizing the Legacy Industrial Software

Before we talk about how digital transformation can be done, let’s see why you need to do it.

Difficulties in Maintenance

The most obvious challenge faced by industries is maintaining these legacy systems. Legacy systems are pretty vast in terms of the codebase and functionality. You cannot just change or replace one system module due to its monolithic nature. Even a minor update can result in multiple conflicts across the system, and there is a considerable risk of interfering with the source code. Since legacy systems contain large amounts of data and documentation, migrating the application to a new platform is not easy. Companies using legacy software applications built in-house quite often face challenge in maintaining them as it becomes difficult to align the legacy applications with the modern ones. Also, the maintenance cost in these cases, are quite high.

Integration is A Challenge

As discussed in the first point, legacy applications are vast and less scalable; hence, integrating old legacy systems with modern applications can be a huge and time-consuming task for SMBs to improve their work processes.

Meaning, if you want to integrate new tools or programs, you have to write a custom code to make it work. Another issue with the industrial legacy software applications is that most modern cloud and other SaaS solutions are incompatible with these legacy systems. SMBs looking to cut costs and improve productivity should consider replacing or upgrading their legacy applications.

The main reason behind using a modern industrial software application is that it can help you eliminate data silos and enable you to use the application’s data in an actionable way they’ve never had before.

Obsolete Cybersecurity Provisions

Outdated systems and applications are a prime target for cybercriminals. Legacy systems are not up-to-date and may not be maintained, leading to a possibility of security threats. It is one of the reasons organizations are gravitating towards the cloud in recent years as cloud security is more robust than most on-premise systems.

Inadaptability to Business Opportunities

One of the common disadvantages of using a legacy system is the stifled ability to modernize and improve. As mentioned above, legacy systems are very inflexible and inadaptable to dynamic business opportunities giving birth to several issues for businesses operating in today’s digital environment.

Inability to Use Big Data

A significant issue posed by legacy systems is the silos resulting from disparate systems within an organization. Digital transformation of these legacy systems helps remove these barriers and enable you to use the vast amounts of Big Data that SMBs possess to help support your business decisions.

Complex and Expensive Infrastructure

The underlying infrastructure of legacy systems is more complex and becomes more expensive to maintain as it becomes old. Since legacy systems require a specific technical environment, the infrastructure maintenance cost remains higher than modern cloud-based solutions. Legacy application data is scattered across several databases and storage resources, making it hard to reorganize to optimize the storage space.

Today, industries should deliver a robust digital experience to engage and retain customers, and complex legacy technology is the most significant barrier to digital transformation.

Factors to be Considered Before Modernizing Legacy Industrial Software Applications

We hope you have learned the disadvantages of legacy systems and how the digital transformation of these applications can solve many business issues. Now, we will see the things you should consider before starting the digital transformation approach of your applications.

Look at Your Strategy 

Are you excited to start the digital transformation approach of legacy systems? Hold your horses! Have a well-planned strategy and stick to it. In the excitement of digital transformations, most businesses often install too many systems, too quickly, and without a strategy to implement them thoroughly.

The lack of proper backing of your strategy is the main reason behind the failure of the digital transformation of industrial software applications. Therefore, a proper strategy formulated with the help of thorough research and analysis is a must.

Prioritize Your Applications

Most businesses fall into the trap of digitizing everything altogether just because they are in a hurry to modernize. Never do this. Start by focusing on the areas of your organization that need to be upgraded to reap the return on investment immediately. Digitizing all your organization’s applications at once might result in failure and disruption throughout the organization.

The whole point is- No solution introduced for digital transformation purposes should ever weaken the work process. If you feel that your investments are not improving the productivity or efficiency of the organization, digitization might not even be an appropriate solution for it. Make sure you’re targeting the processes or applications that need digitization rather than digitizing for the sake of it.

Time Management

Digitizing your legacy systems demands time and patience. Digital transformation of legacy software often takes years to realize fully. The digitization process can vary for each organization and may include implementing technologies, such as cloud, mobility, advanced analytics, and cybersecurity. Make sure you have enough time to implement the digital transformation strategy to reap its maximum benefits.

Eliminate Unnecessary Functions

Before implementing digital transformation, identify which functions and applications you can safely remove without creating any problems in the new configuration. Evaluate your business process to determine the importance of the tasks that are being carried over.

Change Management

A digital transformation strategy should always come from the top-level executives in the organization and should be fully endorsed, envisioned by the key decision-makers in the organization. It helps organizations’ decision-makers and people involved in the process to be on the same page.

Conclusion

Transformation of the legacy applications will no longer be a choice; it will become necessary instead. We are living in the digital age where a business’s adaptability to dynamic technologies paves the way to success. The sooner you transform your enterprise digitally, the efficient, agile, and streamlined your business processes would be.

Utthunga is a leading digital transformation solutions provider having expertise in a range of domains like Cloud, Mobility, IIoT, Analytics, and much more. If you wish to witness rapid business growth, then Utthunga is just the right digital partner for you. Get in touch today!

 

What is the Need for DevOps in Manufacturing Industries?

What is the Need for DevOps in Manufacturing Industries?

What is the Need for DevOps in Manufacturing Industries? (Role of DevOps in Industrial Software Development)

From deploying robots to automation to software development, there are several ways manufacturing industries are working faster and smarter. The main reason behind these developments is the easy collaboration of developers and operations teams who no longer have to use a siloed approach to software updates and changes. Together DevOps is increasing productivity and allows the manufacturing industry to eliminate the expensive and slow processes and keep up with today’s fast-paced, competitive environment.

Why is DevOps important in Industry 4.0?

With the appearance of new technologies and innovative circumstances related to the Internet of Things and Industry 4.0, we presently see a change in the manufacturing industries. DevOps in the manufacturing business are becoming increasingly fundamental as industry 4.0 and the Internet of Things discover more applications in the space. From the need to create a new product quickly to analysing supply-chain efficiency to automating processes, DevOps presents a solution that is able to be rapidly deployed with astounding efficiency. As a result, software applications incorporated within machines and manufacturing processes are vital to pushing the business ahead.

DevOps Integration in Industrial Software Development Process:

DevOps is a methodology that was limited to be implemented among the IT companies, which were mostly into application development and Cloud services. With DevOps, the aim is to be more rapid, robust, and efficient in launching various software development processes. But in the last few years, the methodology is now becoming a priority for manufacturers who are empowering their machines with advanced control dashboards, mobile apps, and predictive maintenance algorithms to monitor the machines themselves.

The product development teams of the manufacturing industry has to continue incorporating DevOps methodologies to match the pace of market demand.

Let’s take a close look at how DevOps integration in the industrial software development process can benefits companies:

More Agility

With DevOps, software development companies can shift and quickly update software to meet needs quickly. Automatic code testing, continuous integration, and delivery are some of the benefits of using DevOps. They are getting new software/products up and running at these facilities with precision and in no time.

Better Efficiency

DevOps empower the manufacturing industry with great efficiency, better response, and implementation time. Using DevOps, the organization’s admins can leave development teams to work on servers and tech requirements and focus on other core IT functions. Hence, the tasks are completed quickly, and deployment times can be improved.

Automated Processes

Automated DevOps pipeline means automation of the processes involving continuous integration, continuous testing, and continuous deployment, including live monitoring of application results. Through the automation of processes, businesses gain the ability to scale solutions while reducing complexity and costs. The IoT software is managed by DevOps integration by considering the operational aspects, as well as ensuring maximum efficiency of the devices.

Faster Time to Market

Manufacturing industries need to win out the cmpetition and bring products and services to market quickly before the customer turns OFF. With DevOps, manufacturing industries can beat out the competition and offer the most cutting-edge solutions with accuracy and precision.

Innovate

Using DevOps for manufacturing helps companies focus on production speed and quality control. Additionally, DevOps helps troubleshoot problems to improve the runtime and support all stages of your software development process.

What is the role of DevOps in achieving digital transformation?

According to experts, DevOps and digital transformation go hand in hand. From facilitating product development to opening new revenue streams, it’s hard to imagine one without the other.

DevOps helps organizations cut off the detrimental silos, paving the way for continuous innovation and agile processes. All these factors help organizations meet ever-changing consumers’ needs to improve digital transformation frequently.

By implementing DevOps methodology into your industrial business, every team in your company can collaborate to innovate and optimize your production processes.

DevOps can’t be implemented overnight, and you should not burden your organization to start thinking with a DevOps mindset. It’s a complete cultural shift, which is going to take time. For example – start as small as you can and gradually scale up by automating one process at a time; you can always expand alongside educating your employees about the importance of DevOps.

By following an agile approach, you’ll be able to do more with less time and effort. In short, slowly start implementing DevOps to see what your organization can achieve with it.

How DevOps Promotes Digital Transformation?

Bring together people, processes, and technology.

DevOps permits companies to deliver new products to their customers quicker, thus empowering them to develop and change the digital face of those associations. DevOps consolidates individuals, process, and innovation: wherein each of the three is orchestrated toward the related business objectives.

Make companies self-steer towards better solutions

DevOps makes an organization’s IT base more testable, adaptable, apparent, dynamic, and on-demand. This improves digital transformation by permitting more secure, more notable changes to the advancing IT framework, which then, at that point, empowers more positive, more dynamic changes to software applications and administrations. This additionally influences the operation groups by improving different perspectives and areas to expand usefulness.

DevOps allows continuous and regular innovation

There is a ton of complexities that coexists with the cloud and with working microservices. If you don’t have special or shared processes across development and OT activities, your chances of success are poor. DevOps standards and practice are the fuel for permitting these sorts of changes for the organizations.

DevOps isn’t easy to adopt for attaining digital transformation. But with the help of the DevOps consulting services by Utthunga, achieving industrial digital transformation isn’t difficult. Our experts help you implement DevOps best practices and help professionals make the most of the DevOps methodology. So call us now to leverage our IIOT platforms and expedite your digital transformation journey without any further delay.

 

 

What is the Role of Test Automation in DevOps?

What is the Role of Test Automation in DevOps?

The introduction of DevOps has changed the role of the quality assurance (QA) team. Earlier, the role of QA was all about functional testing and regression after a product is deployed. The DevOps approach focuses on automating the entire process in software development to achieve speed and agility. It also includes automating the testing process and configuring it to run automatically.

Automated software testing is an integral part of the entire DevOps process and helps achieve speed and agility. This reduces human intervention in the testing process as automation frameworks and tools are used to write test scripts.

Agile Environment

It has additionally been seen that under agile conditions, the quantity of tests keeps on expanding dramatically across every iteration, and an automation software would proficiently deal with it and guarantee early admittance to the market.

Besides, under Agile, automated functional testing guarantee the product performs rapidly and precisely according to the prerequisites.

DevOps environment

Automation tools play a significant part in accomplishing the execution of CI/CD/CT. DevOps accepts a culture shift; it breaks data silos to build, test, and deploy applications to achieve quality product with decreased deployment times. Accordingly, test automation is without a doubt the key to the achievement of DevOps.

How does Test Automation fit in DevOps?

Under DevOps system, the manual testing occurring in corresponding with the code development does the trick the Continuous Integration (CI), Continuous Delivery (CD) and Continuous Testing (CT) measure. The organizations face a ton of difficulties, for example, time limitations for development and test cycles, testing on different devices, applications and programs, equal testing, and much more. Hence, the most productive approach to parallel testing of software in DevOps systems is to embrace a well-integrated and strong test automation arrangement.

Use automated test cases to detect bugs, save time and reduce the time-to-market of the product. Here are the benefits of including test automation in DevOps:

  • Minimize the chance of human error as a software program does the test
  • Handle the repetitive process where you need to execute test cases several times.
  • Automatically increase reliability.

 

Significance of automated testing in the DevOps lifecycle:

From the above discussion, you can understand why test automation is essential in the DevOps lifecycle. DevOps demands increased flexibility and speed along with fewer bottlenecks and faster feedback loops. Under DevOps, organizations need to release high-quality products and updates at a much higher rate than traditional models. If performed manually, many aspects in the delivery pipeline may be slowed down, and the chances of error increase.

For example- traditional processes like regression testing are highly repetitive and time-consuming. Incorporating automation in testing as part of the entire software development process, can help free up the test resources and make engineers focus on more critical work where human intervention is needed.

A quick look at the growing importance of Test Automation Skills in DevOps:

Continuous Delivery and Continuous Testing

If an organization utilizes a continuous delivery strategy, its applications always exist in ready to deploy state. Using a steady delivery approach, the organization would incur lower risk when releasing changes incrementally to an application with shorter development cycles. The main element of CD is continuous testing that is directly connected to test automation.

Continuous testing is rolling out end-to-end automated testing services  during all possible phases of the delivery lifecycle. Continuous testing enables engineers to catch bugs in the earlier development phase where they are less expensive to fix, thus lowering the chances of last-minute surprises. Continuous testing also ensures that the incremental changes can be reliably done simultaneously, making the application to be continuously delivered and deployed.

Take a look at the benefits of automated testing in the DevOps lifecycle:

Do you know? Automation played a crucial role in driving deployment and infrastructure processes across firms with 66 percent and 57 percent contributions respectively, thus driving organizations’ overall success through DevOps implementation.

Speed with quality:

Since automation frameworks and tools are used to write code to verify the functionality of an application, the human intervention is less. Since the DevOps approach compasses high product development speed that makes developers and customers happy, automated testing can speed up the testing phase of a product and make developers deliver more in less time.

Improved team collaboration:

Having an automated testing tool is a shared responsibility that empowers better collaboration among team members.

Reliability:

Test automation improves the reliability of products as test automation increases the coverage. It also decreases the chances of issues in production as human intervention is minimal.

Scale:

Test automation tools produce consistent quality outcomes and reduce the risk by distributing the entire development in small teams that operate self-sufficiently.

Security:

With test automation tools, you will be leveraging automated compliance policies, controls, and configuration management techniques. All these things help you move quickly without compromising security and compliance.

Customer satisfaction:

With automation tools, you can quicken the responses to user feedback. Faster responses increase customer satisfaction and lead to more product referrals. As more and more companies focus on building a DevOps culture, communication between Development and Operations has increased. Nowadays, the responsibility of product quality is equally divided equally among testers, engineers, and Ops teams. Test engineers and developers have to write the automated test scripts and configure them fully to test the application.

The operations team monitors and does the smoke testing in the test environment before releasing it to the production environment. Therefore, test professionals have to refine their test automation skills if they are involved in any part of the development process. By introducing automation testing in the DevOps lifecycle, time spent on manual testing can be reduced. It can make QAs dedicate more time to helping everyone participate in the quality assurance process.

With the above discussion, we can say that DevOps and automation are two crucial components for organizations to streamline their development process. DevOps plus test automation results in:

  • Facilitate cross-department collaboration
  • Automate manual and repetitive tasks in the development process
  • More efficient software development life cycle

As organizations have started prioritizing continuous delivery, implementing continuous testing through test automation will also rise. With the growth of test automation, it is necessary for people involved in software development to understand the test automation frameworks and tools that make test automation possible.

We know that rolling out automated tests across a large portion of your development pipeline can be intimidating at first. But, automated testing services is now recognized as one of the DevOps best practices.

Make sure you start by automating an individual end-to-end scenario and run that test on a schedule. Utthunga offers the right automation tools and the DevOps consulting services to get the most out of your automated testing model in DevOps.

 

 

4 Reasons- Why TSN for Motion Control Applications?

4 Reasons- Why TSN for Motion Control Applications?

Backdrop of Communication Protocols in Industries

 

The IT and OT layers of the automation pyramid execute two different types of real-time operations, i.e., soft real-time communications and hard real-time communications, respectively. The soft real-time communications mostly take place across the IT applications horizontally and vertically across MES, ERP, cloud, and control systems. On the other hand, hard real-time communications take place horizontally across machines, and vertically among controllers, and SCADA/HMIs.

 

While soft real-time operations can bear the latency of 10 to 50 milliseconds, most hard real-time operations can get severely impacted if the latency is more than 1 millisecond. Motion control applications are usually hard real-time bound and usual network errors like indeterminism, jitter, high latency, and bandwidth can severely impact the throughput.

 

Imagine a robotic arm that is moving items on a conveyer belt and passing to the next station for further processing, must be highly precise and accurate in terms of its timings. A delay of a fraction of seconds can damage the items or break the operation continuity.

 

This clearly underlines the demands of cutting-edge machines, i.e., speed, precision, and determinism. At present, Fieldbus and Ethernet are the two majorly used networking technologies on plant floors. With continuous updates in Ethernet standards, it is also becoming gradually popular for OT layer operations.

Challenges in Existing Networking

There have been several communication technologies that have emerged for field level, but Ethernet and Fieldbus protocols are most widely adopted across industries. However, despite several periodic upgrades, the industrial plant floor experiences the following challenges:

 

  • Latency: The Generation 1 industrial networking technologies like RS 232 & RS 485, SERCOS, DeviceNet, etc., were able to support data transfer over long distances. However, the rate of data transfer was very low, i.e., approximately 1 Mbit/sec. To overcome this, Ethernet with an established physical layer became the primary choice for industries. Gradually the Generation 2 networking technologies started emerging with Ethernet PHYs such as Profibus with PROFINET, Modbus with Modbus TCP, CC-Link with CC-Link IE, etc. However, even with many standards, Ethernet is still unable to address the latency and determinism needs of the industrial networks. Although, PROFINET IRT offers the same deterministic capabilities that is expected for hard real-time operations. However, a precise timing model is necessary to plan the traffic slices. Unfortunately, the latency in standard Ethernet can be assured up to a certain extent due to its store and forward strategy.
  • Jitter: One of the biggest challenges that industrial motion control applications face is certainly not the slow speed of the connectivity. It is rather the jitter. Jitter can be understood as the variance in latency. Sadly, the data transmission over TCP, IP, or UDP necessarily exhibits jitter. Due to the lack of traffic prioritizing and slicing ability, the varying latency interferes with the plant floor operations to a great extent, especially when the operations are time-critical.
  • Implementation Complexities: The Generation 1 industrial networking technologies had different physical layers, which did not allow them to share common wiring across heterogeneous networks. Subsequently, the Generation 2 network solutions used common Ethernet PHY, but proprietary layer 2 implementations still cannot allow them to be transmitted over the same cable. This is a serious installation complexity for a plant floor with variants of machines and devices supporting multiple vendors. This is an ideal case of manufacturer lock-in as it forces the industrial plants to be confined with selected vendor(s).

 

As opposed to top layer application requirements, plant floor requires the network connectivity to have ultra-low latency, fixed jitter, and deterministic capabilities. These necessities call for a networking standard that not only allows the connectivity to be time-sensitive, but also spans across all the layers of the automation pyramid.

 

What is Time-Sensitive Network (TSN)?

 

Ethernet is one of the most preferred networking technologies for top layers of the network. However, it is gradually becoming the right choice for the factory settings also. The way to resolve the common issues present in standard and industrial Ethernet is to introduce new networking standards in the Layer II of the OSI model. These brand-new standards are combinedly termed as Time Sensitive Network, abbreviated as TSN.

 

TSN is an extension of Audio Video Bridging technology (a set of standards that allows high-quality streaming of audio and video signals over standard Ethernet). The IEEE 802.1 TSN Task Group developed the TSN standard, which can solve all the challenges that were present in standard and industrial Ethernet. A few of many standards in the TSN specification that can connect the automation pyramid in a single thread are:

 

  • IEEE 802.1AS: A mechanism that synchronizes the messages and delays of all the nodes in the network by keeping them identical to the clock of the Grandmaster node, called Grandmaster Clock. The Grandmaster is selected using an algorithm called Best Master Clock Algorithm (BMCA). The BMCA is responsible for broadcasting the time and measuring the delays to maintain the schedule.
  • IEEE 802.1 Qbv: A standard that schedules the traffic based on the time shared by the grandmaster node. 802.1Qbv defines a mechanism to control the flow of queued messages through the TSN switches. This ensures that only the scheduled messages are released in those time windows. The non-scheduled traffic is blocked, which thereby enables the delays from each switch to be deterministic.
  • IEEE 802.1Qbu: This standard interrupts the large low-priority Ethernet frames in order to transmit high-priority traffic. Post this it resumes sending the remaining part of the large frame without impacting or losing previously transmitted data.
  • Other Standards: Some of the other standards that define various features of TSN are:

 

802.1CB Frame Replication and Elimination (FRER) adds fault-tolerance to the network
802.1Qca Explicit path control, bandwidth and stream reservation, redundancy (protection or restoration) for data flows
802.1Qcc Offline/online configuration of TSN network scheduling
802.1Qci A policing and filtering standard that mitigates the risk of incorrect node functions
802.1Qch Defines traffic for forwarding queued traffic
IEEE 802.1Qcr Provides bounded latency and jitter

 

 

 

Migrating to a TSN-based Ethernet network will require special hardware features like PTP protocol (Precision Time Protocol) to synchronize the network clock and PHY/MAC to modulate/demodulate and send/receive the signals. Determinism in motion control applications can be brought through specific protocols like EtherCAT, Profinet IRT, and EtherNet/IP among others.

 

Why TSN for Motion Control Applications?

 

TSN comes with the strength to revamp motion control applications. It does so by enabling the factories to cope with the long-standing issues of incompatibility among the machines, absolute real-time deterministic communication, and much more. Take a look.

 

  • Scalability: TSN will proliferate the use of Standard Ethernet across the automation pyramid. This will allow factories to utilize the existing top layer network settings for the field layer as well. This also implies that adding new machines/devices will be easier without having to worry about the vendors and make. Therefore, one network the from field layer to the top layer.
  • Interoperability: TSN eliminates the persistent issue of incompatibility among the motion control devices and applications by allowing the Commercial Off the Shelf (COTS) networking technologies to be implemented on top of the Data Link Layer of the OSI model. Not only this, with Ethernet’s backward compatibility, device engineers will be able to incorporate TSN in their networks without having to worry about obsolescence encouraging improved interoperability among old and new machines/devices.
  • Greater Scope for IIoT: With the ability to classify the bandwidth for time-critical and non-critical message queues, TSN allows the same network to be used for various motion control and other applications. This also simplifies networking across OT and IT layers allowing a smoother communication model between the machines on the plant and the client applications at the IT layer. Therefore, improved scope for IIoT.
  • Lower Maintenance Cost: With one standard technology across the communication hierarchy, the complexity of maintaining two separate technologies in IT and OT layers is eliminated. This further leads to lesser cables and hardware, thereby incurring lesser maintenance cost.

 

Footnote

 

The growing importance of real-time data accessibility for time-critical motion control applications has pushed the protocol associations to create their adaptation of TSN. TSN will definitely enable multiple protocols to be implemented on top to deliver cutting-edge solutions. Utthunga is renowned for having a tremendous success rate in delivering best in-class solutions. Our product engineering capabilities span across all the layers of the automation hierarchy. Our motion control services extend over hardware and firmware development, application development, obsolescence management, Value Analysis and Value Engineering, lifecycle management, validation and verification, pre-compliance and certification support, and a lot more.

 

Check out our motion control services here!

 

 

The Benefits of IIoT for Machine Builders

The Benefits of IIoT for Machine Builders

Improving customer service. Safeguarding customer satisfaction. Winning customer loyalty. Increasing service revenue. Augmenting aftersales turnover.

These are some of the primary goals that machine builders have been pursuing. But, how many have been able to meet these goals? Unfortunately, not many, owing to the machine visibility challenges arising out of lack of meaningful data flow from the commissioned device/equipment.

Nevertheless, this will not be the case going forward. Yes, you heard it right! IIoT is the magic wand that has provided a 180-degree spin to the situation.

Wondering how? Let’s comprehend by considering the present reactive customer service model as a case in point.

Whenever there is a machine breakdown or performance issue, the client logs in a compliant with the corresponding machine builder. The OEM’s service representative responds to the service request by collecting data about the issue — via email, telephone, or chat — and scheduling an engineer visit. The engineer will visit the client’s location, provide a resolution, and close the service ticket. All in all, a lengthy process with avenues for delays and disruptions, which can hamper customer satisfaction across many fronts.

IIoT turns this situation upside down.

By enabling machine builders to seamlessly connect their equipment/machine with intelligent sensors that can transfer real-time data, IIoT provides end-to-end connectivity and visibility, which was unheard of in the industry. This means that machine builders no longer have to wait for an issue to appear. They can proactively monitor the performance of the machines spread across geographies in real-time and spot any discrepancies. This gives them an edge to identify potential equipment issues before they occur and proactively reach out to the customer to provide service.

The end result: Better customer service, which will lead to greater customer satisfaction, increased loyalty, and improved service revenue.

The benefits don’t end here. IIoT-based proactive customer service also helps strengthen the relationship between the machine builder and their customers by creating an ongoing relationship; one that allows machine builders to proactively perform maintenance, while keeping device uptime high (for the customer) and minimizing service costs (for the machine builder). Thus creating a win-win situation that will augment aftersales revenue.

The Tip of the Ice-berg

Apart from supporting proactive customer service, IIoT also helps machine builders to:

What Reports and Studies Say?

  • IIoT-based predictive maintenance solutions are expected to reduce factory equipment maintenance costs by 40% – Deloitte
  • Using IIoT insights for manufacturing process optimization can lead to 20% higher product count from the same production line – IBM
  • There is potential to increase asset availability by 5-15%, and reduce maintenance costs by 18-25% using predictive maintenance tied to IIoT – McKinsey

Accelerate R&D

By creating an information value loop from the end machines (commissioned machines at the client’s location) to the engineers, IIoT can significantly shorten the time between an issue surfacing in the field and fixing the issue in production (even before either the client or the competitor realizes it). In the process, it can accelerate the product design cycle and reduce time-to-market, which will give an edge to the machine builder with regard to the competition.

Efficient Inventory Management

IIoT empowers machine builders to effectively track the Remaining Useful Life (RUL) of the commissioned machine along with its components. Based on these insights, they can proactively procure spare parts and efficiently manage the inventory.

Improve Operational Efficiency

Using advanced analytical and machine learning capabilities, IIoT supports faster identification of issues in operations & functions, and facilitates quicker resolutions (even before there is downtime). The result: A multifold increase in operational efficiency.

Making Multiple Revenue Streams a Reality!

What was once a dream, is now a reality! You no longer have to rely on one source of revenue —machine sales — for survival. Unlock untapped revenue streams across maintenance and support space using IIoT.

Start your IIoT journey now using Utthunga assistance. We are an industry leader with extensive experience in facilitating the creation of a truly connected IIoT ecosystem with real-time data transfer and analytics capabilities.

Will Industry 4.0 Exist without OPC UA

Will Industry 4.0 Exist without OPC UA

A new genre of industrial data exchange between industrial machines and communication PCs is on the rise – the Open Platform Communications United Architecture (OPC UA). Interestingly, application manufacturers, system providers, programming languages, and operating systems have no bearing on this open interface standard. The most significant distinction between OPC UA and the previous versions of industrial communication protocol is how the machine data can be transferred – in bundles of information that machines and devices can understand. OPC UA allows devices communicate with each other (horizontally) and also with the upward components like PLCs, SCADA/HMI (Human Machine Interface), MES (Manufacturing Execution System), and up to the Enterprise Cloud (vertically). The horizontal and vertical spectrum comprises OPC UA components, including devices, machines, systems, gateways, and servers that are integrated with machines and devices.

is OPC UA Important in Industry 4.0?

The secure, standardized flow of data and information across devices, equipment, and services, are some of the problems for Industry 4.0 and the industrial Internet of Things (IIoT). The IEC 62541 standard OPC Unified Architecture (OPC UA) [I.1] was the only recommended option for creating the communication layer in the Reference Architecture Model for Industry 4.0 (RAMI 4.0) in April 2015. The most fundamental prerequisite for adopting OPC UA for industrial 4.0 communication is an Internet Protocol-based network (IP). Anyone who wishes to promote themselves as “Industry 4.0-capable” must also be OPC-UA-capable (integrated or via a gateway).

Implementation of Industry 4.0 to Overcome Interoperability

OPC UA is a powerful solution for overcoming interoperability issues in Industry 4.0. Interoperability is one of the most significant problems that I4.0 presents to companies. Through its semantic communication standard, OPC UA demonstrates that it is a solution. OPC UA is a crucial contributor to Industry4.0 because it facilitates information transfer between devices and machines, which cannot understand confusing instructions. The more specific the instructions are, the better the outcome. The selection of tools is crucial for installing the finest OPC UA for any automation system. Because the devices in industrial automation systems are administered by software, a well-functioning software development kit (SDK) is required. It guarantees that end-users and software engineers have a good user experience.

Important factors to consider while implementing OPC UA :

The appropriate software development kit is essential for establishing an efficient OPC UA. We’ve compiled a list of ten considerations for an automation maker, OEM, discrete, and process manufacturer when selecting an SDK. The Ideal SDK Vendor Most businesses lack adequate resources, both technological and human. Such gaps force organizations to outsource their requirements. As a result, the chosen SDK must fulfill its application requirements while improving the time to market. An ideal SDK must be advantageous in terms of both money and performance. A majority of SDK consultants provide the core functionalities that offer fundamental OPC UA advantages such as security and API. Scalability A scalable SDK empowers OPC UA to support both new and existing systems. It allows the platform-independent toolkits to function efficiently for both lightweight and enterprise-level applications. As a result, manufacturers must consider a scalable SDK that is platform or OS agnostic and supports vendor-independent hardware. Utilization Ease It is one of the most preferred yet neglected features. An SDK should be simple to use so that OEMs or small-scale manufacturers can save time and resources learning the OPC UA specification. It must support a basic application and provide API connectivity. CPU Helper An OPC UA SDK developed using architectural principles for embedded devices uses considerably less CPU. It also means that the software program may do a lot of work on a single thread. It is useful when multi-threads aren’t accessible. It is also economical because it offers a low-cost CPU that can perform majority of the work in multi-thread scenarios. Excellent Memory A decent OPC UA implementation should be light on RAM and have a small footprint. Generally, memory leaks can build up over time and put the entire system to a halt. There must be no memory leaks in the OP UA SDK (under any use case situations). Security and Compatibility The OPC UA SDK toolkit must be interoperable with diverse applications and meet stringent security requirements. The OPC UA standards provide various security options, and an ideal SDK should support them all. Language Assistance Even though C++ is the most common language for writing SDK programming, other languages like Java, C, .NET, and others are also utilized based on the needs. Developing an OPC UA SDK in multiple languages facilitates incremental enhancements to their products based on specifications such as AMQP, Pub/Sub, and UDP. Third-party Libraries Because most businesses have preferred libraries, SDK suppliers usually include wrappers such as standard crypto libraries, use-case examples, manuals, and API references to utilize wrappers such as NanoSSL, mBed TLS, TinyXML2, and Lib2XML. Scope for Future Improvements An SDK must be capable of evolving to support emerging technologies and processes. Because of the continuing advances in SDKs and OPC Foundation-based technologies such as AMQP Pub/Sub, UDP, and TSN, manufacturers must guarantee that SDK suppliers are equipped with the required capabilities while implementing industry-relevant protocols. Vendor Assistance SDK suppliers must provide knowledge and support to manufacturers at every stage of their OPC UA deployment. An efficient OPC UA deployment requires a partnership built on trust, mutual benefits, and understanding. OEMs, discrete and process manufacturers must collaborate to understand and execute OPC UA requirements for everybody’s benefit.

How OPC UA contributes to Industry 4.0 and overcomes interoperability challenges?

OPC UA provides a mechanism for safe and reliable data sharing. As the world’s most popular open connectivity standard, it plays a crucial role in achieving Industry 4.0 goals. OPC UA fulfills the Industry4.0 requirements of platform independence and time-durability. Additionally, OPC UA is designed to enable future factories to include ‘invisible’ components into their permanent data exchange, thereby significantly enhancing OPC UA’s position in the realm of Internet of Things. Embedded OPC UA technology allows open connection to devices, sensors, and controllers, providing many benefits to businesses. End-users gain from speedier decision-making due to the data it delivers, and the integrated corporate architecture becomes a reality. The notion of an interconnected industry is central to Industry 4.0. As the precursor to OPC UA, OPC Classic pioneered an ‘open data connection’ revolution, removing proprietary connectivity barriers between the management, control systems, and the rest of the organization. OPC UA takes the notion of a unified solution a step further with its platform & operating system agnostic approach and data modelling features. These enable UA to natively represent data from practically any data source on one side while retaining data context and delivering it to consumers in the best possible way. Correctly expressing data structures using consistent UA data models successfully abstracts the physical layer devices.

Future Scope:

All components in the ‘factory of the future’ will operate independently, relying on interconnections. Whether such elements are people, machines, equipment, or systems, they must be designed to gather and exchange meaningful information. As a result, future components will communicate and operate intelligently. While the industry is on the verge of the latest industrial revolution, interconnection is the essential enabler. OPC UA, a standard that facilitates interoperability at all levels – device to device, a device to business, and beyond – is a critical component of this process.

Conclusion

While a fully functional Industry 4.0 may seem like a pipe dream at this point, the industrial transformation at the grass-root level is already in full swing. Controlling the flow of resources, commodities, and information, enabling speedier decision-making, and simplifying reporting are advantages those businesses may anticipate as they transition to Industry 4.0. Intelligent materials will instruct machines on how to process them; maintenance and repair will evolve to transform inflexible production lines into modular and efficient systems. Eventually, a product’s complete lifespan can be road-mapped with its practical performance. OPC UA, which enables intelligent data exchanges across all levels of an organization, will play a significant role in evangelizing Industry 4.0

A new genre of industrial data exchange between industrial machines and communication PCs is on the rise – the Open Platform Communications United Architecture (OPC UA). Interestingly, application manufacturers, system providers, programming languages, and operating systems have no bearing on this open interface standard.

The most significant distinction between OPC UA and the previous versions of industrial communication protocol is how the machine data can be transferred – in bundles of information that machines and devices can understand. OPC UA allows devices communicate with each other (horizontally) and also with the upward components like PLCs, SCADA/HMI (Human Machine Interface), MES (Manufacturing Execution System), and up to the Enterprise Cloud (vertically). The horizontal and vertical spectrum comprises OPC UA components, including devices, machines, systems, gateways, and servers that are integrated with machines and devices.

is OPC UA Important in Industry 4.0?

The secure, standardized flow of data and information across devices, equipment, and services, are some of the problems for Industry 4.0 and the industrial Internet of Things (IIoT). The IEC 62541 standard OPC Unified Architecture (OPC UA) [I.1] was the only recommended option for creating the communication layer in the Reference Architecture Model for Industry 4.0 (RAMI 4.0) in April 2015.

The most fundamental prerequisite for adopting OPC UA for industrial 4.0 communication is an Internet Protocol-based network (IP). Anyone who wishes to promote themselves as “Industry 4.0-capable” must also be OPC-UA-capable (integrated or via a gateway).

 

Implementation of Industry 4.0 to Overcome Interoperability

OPC UA is a powerful solution for overcoming interoperability issues in Industry 4.0.

Interoperability is one of the most significant problems that I4.0 presents to companies. Through its semantic communication standard, OPC UA demonstrates that it is a solution. OPC UA is a crucial contributor to Industry4.0 because it facilitates information transfer between devices and machines, which cannot understand confusing instructions. The more specific the instructions are, the better the outcome.

The selection of tools is crucial for installing the finest OPC UA for any automation system. Because the devices in industrial automation systems are administered by software, a well-functioning software development kit (SDK) is required. It guarantees that end-users and software engineers have a good user experience.

Important factors to consider while implementing OPC UA :

The appropriate software development kit is essential for establishing an efficient OPC UA. We’ve compiled a list of ten considerations for an automation maker, OEM, discrete, and process manufacturer when selecting an SDK.

The Ideal SDK Vendor

Most businesses lack adequate resources, both technological and human. Such gaps force organizations to outsource their requirements. As a result, the chosen SDK must fulfill its application requirements while improving the time to market. An ideal SDK must be advantageous in terms of both money and performance. A majority of SDK consultants provide the core functionalities that offer fundamental OPC UA advantages such as security and API.

Scalability

A scalable SDK empowers OPC UA to support both new and existing systems. It allows the platform-independent toolkits to function efficiently for both lightweight and enterprise-level applications. As a result, manufacturers must consider a scalable SDK that is platform or OS agnostic and supports vendor-independent hardware.

Utilization Ease

It is one of the most preferred yet neglected features. An SDK should be simple to use so that OEMs or small-scale manufacturers can save time and resources learning the OPC UA specification. It must support a basic application and provide API connectivity.

CPU Helper

An OPC UA SDK developed using architectural principles for embedded devices uses considerably less CPU. It also means that the software program may do a lot of work on a single thread. It is useful when multi-threads aren’t accessible. It is also economical because it offers a low-cost CPU that can perform majority of the work in multi-thread scenarios.

Excellent Memory

A decent OPC UA implementation should be light on RAM and have a small footprint. Generally, memory leaks can build up over time and put the entire system to a halt. There must be no memory leaks in the OP UA SDK (under any use case situations).

Security and Compatibility

The OPC UA SDK toolkit must be interoperable with diverse applications and meet stringent security requirements. The OPC UA standards provide various security options, and an ideal SDK should support them all.

Language Assistance

Even though C++ is the most common language for writing SDK programming, other languages like Java, C, .NET, and others are also utilized based on the needs. Developing an OPC UA SDK in multiple languages facilitates incremental enhancements to their products based on specifications such as AMQP, Pub/Sub, and UDP.

Third-party Libraries

Because most businesses have preferred libraries, SDK suppliers usually include wrappers such as standard crypto libraries, use-case examples, manuals, and API references to utilize wrappers such as NanoSSL, mBed TLS, TinyXML2, and Lib2XML. Scope for Future Improvements

An SDK must be capable of evolving to support emerging technologies and processes. Because of the continuing advances in SDKs and OPC Foundation-based technologies such as AMQP Pub/Sub, UDP, and TSN, manufacturers must guarantee that SDK suppliers are equipped with the required capabilities while implementing industry-relevant protocols.

Vendor Assistance

SDK suppliers must provide knowledge and support to manufacturers at every stage of their OPC UA deployment. An efficient OPC UA deployment requires a partnership built on trust, mutual benefits, and understanding.

 

OEMs, discrete and process manufacturers must collaborate to understand and execute OPC UA requirements for everybody’s benefit.

How OPC UA contributes to Industry 4.0 and overcomes interoperability challenges?

OPC UA provides a mechanism for safe and reliable data sharing. As the world’s most popular open connectivity standard, it plays a crucial role in achieving Industry 4.0 goals.

OPC UA fulfills the Industry4.0 requirements of platform independence and time-durability. Additionally, OPC UA is designed to enable future factories to include ‘invisible’ components into their permanent data exchange, thereby significantly enhancing OPC UA’s position in the realm of Internet of Things.

Embedded OPC UA technology allows open connection to devices, sensors, and controllers, providing many benefits to businesses. End-users gain from speedier decision-making due to the data it delivers, and the integrated corporate architecture becomes a reality.

The notion of an interconnected industry is central to Industry 4.0. As the precursor to OPC UA, OPC Classic pioneered an ‘open data connection’ revolution, removing proprietary connectivity barriers between the management, control systems, and the rest of the organization.

OPC UA takes the notion of a unified solution a step further with its platform & operating system agnostic approach and data modelling features. These enable UA to natively represent data from practically any data source on one side while retaining data context and delivering it to consumers in the best possible way. Correctly expressing data structures using consistent UA data models successfully abstracts the physical layer devices.

Future Scope:

All components in the ‘factory of the future’ will operate independently, relying on interconnections. Whether such elements are people, machines, equipment, or systems, they must be designed to gather and exchange meaningful information. As a result, future components will communicate and operate intelligently.

While the industry is on the verge of the latest industrial revolution, interconnection is the essential enabler. OPC UA, a standard that facilitates interoperability at all levels – device to device, a device to business, and beyond – is a critical component of this process.

Conclusion

While a fully functional Industry 4.0 may seem like a pipe dream at this point, the industrial transformation at the grass-root level is already in full swing. Controlling the flow of resources, commodities, and information, enabling speedier decision-making, and simplifying reporting are advantages those businesses may anticipate as they transition to Industry 4.0.

Intelligent materials will instruct machines on how to process them; maintenance and repair will evolve to transform inflexible production lines into modular and efficient systems. Eventually, a product’s complete lifespan can be road-mapped with its practical performance. OPC UA, which enables intelligent data exchanges across all levels of an organization, will play a significant role in evangelizing Industry 4.0