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 Legacy systems are software programs or outdated systems and are not integrated with other business solutions.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 Since these legacy systems are outdated and lack robust security, industries need to transform their legacy applications to avoid data breaches and failure.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

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