Industrial automation has greatly influenced digital transformation in the oil and gas industry. It includes numerous connected devices that make this industry highly dependent on hardware and software components. As per the World Economic Forum, the digital transformation business for the Oil and Gas Industry is estimated to be $1.6 trillion by 2025.
One of the novel practices for effective implementation of digital transformation in the Industry 4.0 context is DevOps. In an industrial landscape, it refers to the combined efforts of the development(Dev) and Operations(Ops) teams in creating effective strategies that keep the company abreast of the technological, especially the digital trends.
Why is DevOps important?
Due to increased global competition and unexpected economic challenges, oil and gas companies are experiencing a strong need for digital transformation. Over the last decade, many organizations have reaped tremendous benefits by implementing DevOps in their business strategies. The positive results have encouraged the industry to incorporate software-driven innovations to improve productivity and achieve newer heights without causing significant disruptions to the existing business model.
In this scenario, DevOps plays a crucial role in helping industries roll up their manufacturing software faster because it:
Promotes Automation:DevOps is not just a technology. It is a concept that leverages tools and processes such as Continuous Integration and Continuous Delivery (CI/CD), real-time monitoring, incident response systems, and collaboration platforms. It promotes automation and introduces new tools for creating controllable iterations that drive high productivity with accurate results.
Optimizes IT Infrastructure:DevOps synchronizes the communication between the hardware and software components in the IIoT setup. It ensures proactive, smooth, and efficient operations at various levels and help achieve operational excellence that is predictable and measurable against intended outcomes and goals.
Improves Operational Stability:By applying DevOps practices systematically, oil and gas businesses can experience an incrimporved hydrocarbon recovery, better safety across the production plant, and enhanced overall operational stability. This approach relays effective solutions for all the connected operations until the endpoint.
Digital Transformation in the Oil and Gas Industry with DevOps
The urgency for digital transformation in business models of the oil and gas industry is on the rise. DevOps is one of the primary facilitators in helping companies increase their digital maturity and reap benefits by implementing the most appropriate technologies and processes across the business chain.
Here’s how DevOps helps O&G companies:
Identifies patterns in new revenue streams and gauges the maximum potential of digitalization.
Facilitates implementation of best IIoT practices to achieve condition-based performance that drives maximum efficiency of their IT and plant infrastructure.
Streamlines a hybrid operational model that promotes agile manufacturing principles and practices.
Assists companies through their journey of experimentation with digital transformation through continuous improvement and reliable transition.
The decision-makers of Oil & Gas companies are eager to deploy practices that bring fruitful digital transformation to their organizations. Often, it is hard to choose from the two most popular enterprise practices such as DevOps and Agile. This dilemma is mainly because both methodologies focus on accurate results in the most efficient manner possible.
According to recent industry trends, the DevOps market is expected to grow at a CAGR rate of 22.9%, signaling a greater adoption rate than Agile. Let us understand why oil and gas companies prefer DevOps over Agile in Industry 4.0.
Agile
DevOps
1.Focuses on software development.
1.Focusses on fast paced and effective end-to-end business solutions.
2.Aligns development processes with customer needs at all stages.
2. Promotes continuous testing and delivery of products. Identifies glitches before they can cause massive disruption to the company’s operations.
3.The development team works in incremental spirits for software delivery, deployment, and maintenance. Operations teams work individually.
3.Promotes a healthy collaboration between teams across various departments to deliver error-free software to achieve total safety in the oil and gas setup.
4.Core values are: Individuals & Interactions, Working Software, Customer Collaboration, and Responding to Change.
Digitalization in the oil and gas industry is highly data-driven. Also, it constantly faces uncertainties due to fluctuations in global commodity prices, pressure to reduce carbon emissions and reliance on renewable alternatives. To overcome such challenges through an impactful digital transformation, the CIOs don multiple roles like a technical architect, solution expert, visionary, innovator, and purposeful technology provider to the company.
The blended business model of development and operations through DevOps helps CIOs create a fruitful roadmap toward a true digital transformation. Here is how DevOps drives such a transformation :
Fosters transparent and collaborative teamwork in creating quality software that ensures efficiency, productivity, and safety.
Identifies and implements the most appropriate automation technology leveraging the best possible output from every department in the organization. Empowers CIOs with the capability to set up IT infrastructure that withstands constant changes amid continuous delivery.
Enhances product quality by eliminating bottlenecks and errors.
Introduces team flexibility and agility for achieving the common goal
Enables the CIOs to adopt futuristic technology and processes to develop sustainable business plans.
Conclusion
The oil and gas industry is one of the most rapid embracers of new-age technologies. With more companies leveraging the software-hardware collaboration that IR4.0 offers, there is a dire need to deploy the best DevOps practices to reap its benefits.
Utthunga has the best automation tools and DevOps consulting services that cater to the oil and gas industry. Reach out to us at[email protected]to stride ahead of the competition by leveraging the power of DevOps.
An embedded system can be described as a hardware system that has its own software and firmware. One embedded system is built to do one task and forms a part of a larger electrical or mechanical system. An embedded system is microcontroller and/or microprocessor based. A few examples of embedded systems are automatic transmission, teller machines, anti-lock brakes, elevators, automatic toll systems.
To explain in detail, let’s take a look at the smartphone. It has tons of embedded systems, with each system performing a particular task. For example, the single task of the GUI is user interaction. Likewise, there are numerous other embedded systems, each with a specific task, in the mobile phone.
Embedded systems are used in banking, aerospace, manufacturing, security, automobiles, consumer electronics, telecommunication and other fields.
Yocto Project was released by Linux Foundation in March 2011 with the support of 22 organisations. This collaboration project has software, tools and processes that enable developers to build Linux-based embedded systems. It is an open source project that can be used to build the software system irrespective of the hardware architecture. Three major components that determine the output of a Yocto Project are:
Package Feed – It refers to the software package to be installed on the target. You can choose from package formats such as rpm, deb, ipk, and more. Developers can either install the pre-installed packages on target runtime binaries or choose to install them in the deployed system.
Target run-time binaries – They include auxiliary files such as kernel modules, kernel, bootloader, root file system image and more. These files are used to deploy the Linux embedded system on the target platform.
Target SDK – This output component is a collection of header files and libraries that represent the software installed on the target platform. Application developers can use the libraries to further build the code on the target platform.
Pros
It works with all kinds of hardware architecture.
It has a large community of developers.
Even after project release, developers can add layers to the project. These layers can also be independently maintained.
This project gets support from a large number of board and semi-conductor manufacturers. So, this project will work on any platform.
It is customisable and flexible.
The project has override capability.
The layer priority can be clearly defined.
Cons
It has a long learning curve, which can be a deterrent for many developers.
More resources and time are required to build a Yocto project
Developers will need large workstations to work on Yocto projects
2. OpenWrt Wireless Freedom
The OpenWrt (OPEN Wireless RouTer) is used to route network traffic on embedded devices. It can be described as a framework that developers use to build multi-purpose applications without a static firmware. That is because this tool offers a fully writable filesystem supported by package management. This build design offers a huge freedom for customisation based on target platform. Developers need not have to build a single static firmware. Instead, they can create packages that will be suitable for different applications.
Pros
It features bufferbloat control algorithms that reduce lag/latency times.
Has more than 3000 ready-to-be-installed packages.
Large community support of developers.
Control all the functions of the tool via your device or router.
No license or subscription fee.
Cons
Only suitable for developers with more technical expertise.
Not very user friendly.
Takes a lot of time to setup and run.
Doesn’t support a large variety of routers.
3. Buildroot
Developed by Peter Korsgaard and his team, Buildroot is an automation tool used for building Linux embedded systems. This tool can independently build a root file system with applications and libraries. It can also create a boot loader and generate Linux kernel image. This tool also has the capability to build a cross-compilation tool chain. All these systems can also be built together using Buildroot.
The three output components of Buildroot are:
Root file system and auxiliary files for the target platform.
Kernel modules, boot-loader and kernel for the target hardware.
Tool chain required to build target binaries.
Pros
Simple to learn and deploy.
The core system is scripted using Make and C.
The core is short, but expandable based on needs of target platform.
Open-source tool.
Build time and resources required is relatively less.
Cons
As the core is simple, a lot of customisation may be required based on target platform.
Developers need to rebuild the entire package to make a small change to the system configuration.
Requires different configurations for different hardware platforms.
4. Debian
Debian is one of the earliest developed Linux-based operating systems. The Debian project was launched by Ian Murdock way back in 1993. The online Debian repositories contain free and paid software in more than 51,000 packages. The features of this Linux distribution include kernels, desktop environments and localisation. Debian GNU/Linux can directly build applications on the embedded systems using Debian tools such as gdb (GNU project debugger) and gcc (GNU compiler collection). The open-source platform also has numerous tool kits that include integrated development environments, debuggers, and libraries. There are tool kits that even have kernels and operating systems.
Pros
It has a large community with really experienced developers as it is one of the oldest Linux platforms.
Detailed and comprehensive installation.
Debian testing and repositories are highly stable.
Developers have the freedom to choose free or propriety software.
How Utthunga can provide solution for your embedded engineering problems?
At Utthunga, we offer a host of embedded engineering services customised to your specific requirements. We have more than 12 years of experience in this domain. Plus, our team consists of experienced professionals. As a part of our embedded engineering services, we offer hardware, software and firmware development. We also provide wireless SoC-based product development, Obsolescence management, Motor Control Hardware and Firmware Development, and Embedded Linux.
With such varied expertise and in-depth domain experience, we can confidently handle any type of embedded engineering requirement. Whether you want to automate your process or design a product, reach out to us. Just drop a mail at [email protected] or call us at +91 80-68151900 to know more in detail about the services we offer.
Sensors were traditionally employed to collect field data, which was then delivered to I/O modules and controllers to be processed and meaningful outputs were provided. Smart sensors can gather field data for a variety of critical activities, as well as process data, and make decisions using logic and machine learning algorithms, thanks to the integration of intelligence down to the component level.
Smart sensors are the driving force behind Industry 4.0. Almost every intelligent device in industrial automation relies on sensors. Sensors have been used to simplify and automate industrial processes in a variety of ways using their capacity to obtain important field device information. Some of the main operational factors taken by the sensors include diagnosing the health status of assets using signal noise to prevent breakdowns, generating alarms for functional safety, and so on. The list goes on and on, starting with condition-based monitoring and power management and ending with image sensing and environmental monitoring.
Now to make it more clear let’s check out the types of smart sensors that are primarily used in industrial units:
Temperature Sensor: Product quality is a key element to consider in industrial operations and it is directly affected by room temperature. These intelligent sensors can detect the temperature of its environment and convert the signal into data to monitor, record, and/or raise alerts.
Pressure Sensors: Pressure sensors have the ability to detect the changes in the pressure on any surface, gas, or liquid and convert the data into an electrical signal to measure and control it.
Motion Sensors: Motion sensors are designed to trigger the signals that increase or decrease power supply in smart factories or industrial setups. When there is a physical presence of a human, a signal is detected to automatically switch on/off lights, fans, and any other in-house device. These can save a lot of energy in commercial buildings with wide spaces and a lot of people.
Thermal Sensors: Thermal sensors enable smart buildings and workplaces to automatically modify room temperature to maintain a steady temperature in space regardless of changing environmental conditions.
Smoke Sensors: These sensors ensure the security of homes and offices. When smoke is detected, for example, an immediate warning is triggered in fire burst circumstances, to increase safety and the possibility of escape from the accident scene.
Other Sensors: Some of the other important sensors used in industries are MSME sensors, acceleration sensors, torque sensors, rotating sensors, etc.
IO-Link is an open communication system and has been in use for quite some time. It integrates sensors and actuators and shifts to another level. It has been tried, tested, and operated in machinery process control over several years.
It has turned into one of the most eminent two-way interfaces accessible today, surpassing data to the machine-level control system via a standard three-wire cable which doesn’t require any extra time or cost to connect.
An IO-Link framework comprises of IO-Link gadgets, including sensors and actuators and an expert gadget. Since IO-Link is a highlight point engineering, just a single gadget can be associated with each port on the expert. Each port of an IO-Link expert can deal with parallel exchanging signs and simple qualities.
Every IO-Link gadget has an IO gadget portrayal (IODD) that determines the information structure, information substance, and essential usefulness—giving a uniform depiction and access for programming and regulators. The client can without much of a stretch read and cycle this data, and every gadget can be unambiguously recognized by means of the IODD just as through an inside gadget ID.
Importance of IO-Link in Industrial Automation Setup
In a few years, IO-Link has attracted many industries by providing advantages such as:
Simplified Wiring: IO-Link can be easily connected by 3 core cables with cost-effectiveness. It eliminates unwanted wiring by reducing the variety of interfaces for sensors which saves inventory costs.
Remote Monitoring: The data is transmitted over various networks, backplane buses by IO-Link master due to which the data can be easily accessible in immediate times and for long-term analysis. This provides more information regarding the devices and enables the remote monitoring feature of devices.
Reduced Cost and Increased Efficiency: With the innovation of IO-Link the productivity has increased, the cost has been reduced, and the machine availability has increased. These changes have heavily worked towards reducing machine downtime.
To increase productivity by optimum measures, one needs to be aware of the machine parts running in factories to keep up the pace and get maximum output. Conventional sensors lack the ability to communicate parameter data to the controller. Smart Sensors show the continuous flow of processes to fit in the environment and system.
Conclusion
By combining Information Technology (IT) and Operations Technology (OT) into a single, unified architecture, the connected enterprise is transforming industrial automation. This unified architecture allows us to gather and analyze data, changing it into usable information, thanks to integrated control and the Internet of Things (IoT). Manufacturers can use integrated architecture to construct intelligent equipment that gives them access to such data and allows them to react quickly to changing market demands. Smart sensors and I/O, based on IO-Link technology, constitute the backbone of integrated control and information, allowing you to see field data in real time through your Integrated Architecture control system.
Most professional advice will point towards a cloud-based service if your company explores hosting options for its official platform. Similarly, when you dive deep into the intricacies of cloud computing, you’ll find yourself bumping into Microsoft Azure and Amazon AWS as the two most viable options.
Since choosing between these two most popular options can be a little perplexing, we decided to clear the air for you. So, here’s a detailed comparison of Microsoft Azure and Amazon AWS.
Let’s get started.
A Closer Look at Microsoft Azure
Microsoft Azure is a leading cloud computing platform that renders services like Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS). It is known for its cloud-based innovations in the IT and business landscape.
Microsoft Azure supports analytics, networking, virtual computing, storage, and more. In addition, its ability to replace on-premises servers makes it a feasible option for many upcoming businesses.
Microsoft Azure is an open service that supports all operating systems, frameworks, tools, and languages. The guarantee of 24/7 technical support and 99.9% availability SLA makes it one of the most reliable cloud computing platforms.
The data accessibility of data Microsoft Azure is excellent. Its geosynchronous data centers supporting greater reach and accessibility make it a truly global organization.
It is economical to avail of cloud-based services, as users pay only for what they use. Azure Data Lake Storage Gen2, Data Factory, Databricks, and Azure Synapse Analytics are the services offered through this cloud-based platform. Microsoft Azure is especially popular among data analysts as they can use it for advanced and real-time analytics. It also generates timely insights by utilizing Power BI visualizations.
Azure provides seamless capabilities to developers for cloud application development and deployment. In addition, the cloud platform offers immense scalability because of its open access to different languages, frameworks, etc.
Since Microsoft’s legacy systems and applications have shaped business journeys over the years, its compatibility with all legacy applications is a plus point. Since converting on-premises licenses to a fully cloud-based network is easy, the cloud integration process becomes effortless.
In many cases, cloud integration can be completed through a single click. With incentives like cheaper operating on Windows and Microsoft SQL Servers via the cloud, Microsoft Azure attracts a large segment of IT companies and professionals.
Amazon AWS is the leading cloud computing platform with efficient computing power and excellent functionality. Developers use the Amazon AWS platform extensively to build applications due to its broad scope of scalability and adaptation to various features and functionalities.
It is currently the most comprehensively used cloud platform in the world. More than 200 cloud-based services are currently available on this platform.
Amazon Web Services include IaaS, PaaS, and SaaS, respectively. In addition, the platform is highly flexible to add or update any software or service that your application exclusively requires.
It is an Open Access platform where machine learning capabilities are also within reach of the developers – all thanks to SageMaker.
This platform has excellent penetration and presence across the globe, with 80 availability zones in 25 major geographical regions worldwide. But, just like Microsoft Azure, the Amazon AWS model is highly economical.
Businesses only need to pay for the services they use, including computing power and cloud storage, among other necessities.
The Compute Cloud offering allows you to use dynamic storage based on the current demands of your operations. You can use any operating system and programming language of your choice to develop on Amazon AWS.
Besides, all cloud integration services on the Amazon AWS platform are broad-spectrum and practical. The comprehensive tech support available 24/7 is a silver lining too.
The Amazon AWS platform enjoys excellent popularity with several high-profile customers. The transfer stability in the Amazon AWS offerings is quite good, implying that you won’t lose any functionality during migrations.
The instances of latency problems and lack of DevOps support are minimal with this platform.
Comparing Azure and AWS
By Computing Power
Azure and AWS have excellent computing power but different features and offerings. For example, AWS EC2 supports the configuration of virtual machines and utilizing pre-configured machine images. Further, images can be customized with the Amazon AWS platform.
Unlike the machine instance in Amazon AWS used to create virtual machines, Azure users get to use Virtual Hard Disks (VHD). Virtual Hard Disks can be pre-configured by the users or by Microsoft. Pre-configuration can be achieved with third-party automation testing services based on the user’s requirement.
By Cloud Storage
Storage in Amazon AWS is allocated based on the initiation of an ‘Instance.’ This is temporary storage because it gets destroyed once the instance is terminated. Therefore, Amazon AWS’s cloud storage caters to the dynamic storage needs of the developers.
Microsoft Azure also offers temporary storage through D drives, Page Blobs, Block Blobs, and Files. Microsoft Azure also has relational databases and supports information retrieval with import-export facilities.
By Network
The Virtual Private Cloud on Amazon AWS allows users to create isolated networks within the same Cloud platform. Users also get to create private IP address ranges, subnets, network gateways, and route tables. You can avail of test automation services to check the networking success.
The networking options on Microsoft Azure are like that of Amazon AWS. Microsoft Azure offers Virtual Network (VNET) where isolated networks and subnets can be created. Test automation services can help in assessing existing networks.
By Pricing
Amazon AWS’s pricing is based on the services you use. Its simple pay-as-you-use model allows you to pay only for the services you use – without getting into the hassle of term-based contracts or licensing.
Microsoft Azure, too, has a pay-as-you-go model, just that their calculations are by the minute. Also, Azure offers short-term packages where pre-paid and monthly charges are applicable.
The Bottom Line
We hope you’ve got enough to decide which cloud computing platform is most suitable for your needs. For more advice on Cloud Application Development, reach out to our team at [email protected]
Utthunga is a leading Cloud service provider catering solutions like cloud integration services, automation testing services, and digital transformation consulting. To know more about what we do, contact our representatives today.
Industrial connectivity has come a long way since the first time a PLC was controlled by a computer. Well! it was a ‘Hurrah’ moment for industries as it created a whole new horizon for innovative technologies. However, amid the gradual shift towards digitalization, the lack of efficient exchange of data among systems and applications was hindering the communication.
When ISA-95 reference model came into light, it compartmentalized the automation architecture into different vertical layers based on the nature of data generated. While this model allowed various industrial manufacturers to innovate technologies keeping the architecture layers in mind, it also helped them understand the communication interdependencies among the systems across the layers.
Fast forwarding to today, the coining of the term ‘Industry 4.0’ has emphasized on interlinking various systems (machines, devices, applications, etc.) from plant floor to the enterprise applications of ISA-95 to become a smart factory. This interlinking is possible through efficient connectivity solutions enabling smooth data exchange across the layers. These connectivity solutions are designed keeping the communication needs in mind. While a proximity sensor has a single function, i.e., to detect an object within a certain range, a controller is expected to send sophisticated instructions in different scenarios.
Historically, these different communication needs have given rise to the application of various industrial communication protocols.
Factors Influencing the Evolution of Industrial Communication Protocols
As mentioned earlier, the evolution of industry protocols goes back to various scenarios that led various industrial associations and independent OEMs to develop various protocols. Some of the factors that influenced the emergence of various modern protocols are:
Interoperability:With generations of electronics and technologies evolving over the decades, the industries started facing difficulties in establishing compatibility among the heterogeneous devices at various layers, especially at the OT level. The devices developed by different manufacturers supported either vendor-specific proprietary protocols or Commercial-Off-the-Shelf (COTS) protocols. Due to this, the need for establishing interoperability among the devices became one of the primary concerns for smooth connectivity from plant floor to the enterprise layers and beyond. This generated the need for common platforms like OPC UA that allows all the devices to communicate in a common language unlocking the potential of IIoT.
Real-time/Determinism:When it comes to communication, industries need connectivity solutions that enable fast responsiveness, ensure real-time delivery of time-sensitive messages, and reduce jitter. The OEMs and various protocol consortiums are constantly working to innovate solutions for aforementioned criteria and more. In fact, communication standards and protocols like TSN (Time Sensitive Network) and Profinet IRT are already making significant progress.
Operating Environment:One of the most discussed aspects in industries is the safe operating conditions on the plant floor. While some nodes may exhibit a certain amount of heat, vibration, or noise, others may operate in a hazardous environment. Therefore, having stable connectivity channels for such scenarios has always been a challenge. For example, PROFIBUS DP is suitable for manufacturing, whereas PROFIBUS PA has dominated the process industries. In fact, the recent developments in Added Physical Layer on Ethernet (Ethernet-APL) promise to deliver better communication speed along with intrinsic safety benefits to process industries.
Mobility:As the plant operations get more complex, newer inventions replace the legacy systems. For example, the use of Automated Guided Vehicles has minimized the number of workers needed to transport materials within the plant. However, the use of wired connectivity does not fulfil the communication need here as the plant asset is mobile. The evolution of wireless protocols has helped overcome this issue. 5G technology will not only allow plant devices to communicate faster than a human possibly can, but will also ensure the delivery of time-sensitive message by slicing the bandwidth.
Scalability:As and when industries scale-up, new nodes/devices/machines are added in the network. However, expanding the network always puts a challenge in terms of additional configurations, implementation overheads, implications on existing network architecture, etc. This is the reason why self-healing wireless networks like ZigBee are designed.
Power Consumption:With multiple machines deployed on a plant floor, connecting them using specific protocols consumes a lot of power. As a matter of fact, the devices that are battery-powered or electric-powered, a single fault in the power source can seriously damage the entire connectivity. This can be especially a crucial aspect when an end-node is installed at a remote location. Therefore, the invention of low-power wireless networks like Bluetooth low energy, Wi-Fi, etc.
While the conventional purpose of the communication protocols was to provide seamless connectivity among the devices, digital disruption in industries is demanding more than that. The panorama of modern industries needs smooth convergence of OT and IT, which were two different worlds altogether. Along with intelligent devices, industrial protocols are bridging this gap.
Industrial automation pyramid with all 5 layers is a way to look at the communication happening within the system. However, it is not necessary to have all these layers as part of all the industrial network architectures. Since the advent of edge computing, industries are actively deploying it to bypass all the middle layers between control layer and the cloud.
This means that the automation pyramid is reduced in size, or in other words, it is flattening, i.e., from 5 layers to just 2 or 3 layers.
However, if you look closely, the role of seamless communication is quite important at the moment. While field devices release data at a higher frequency in smaller sizes, client applications on cloud require larger messages in low frequency. Therefore, the connectivity solutions must fulfill the necessary demands of the end industries.
In the light of convergence, the role of communication protocols can be discussed at two levels:
Field to Edge
Field devices like sensors and actuators need communication protocols that allow them to communicate in robust way. Some of the communication protocols that are widely used on the field level to connect various machines and devices are IO-Link and the fieldbus protocols like Modbus, HART, Profibus, FF, and Control Area Network (CAN). In fact, Industrial Ethernet protocols like Profinet, EtherCAT, Ethernet/IP, etc., offer great potential to the complex and field devices network.
The data transferred to the control layer gets processed and sent to the above layers or specific instructions are sent to the field devices. Therefore, the communication protocols should enable scalability. Some of the communication protocols that provide a scalable connectivity from the PLCs all the way down to I/O and Sensors are EtherCAT, Profinet RT, Powerlink, IO-Link, Modbus, Ethernet/IP, S7, MELSEC, etc.
Edge to Cloud
Conventionally, the data coming from the field and control layers get converted into enterprise-compatible format. However, communication protocols like SigFox, OPC UA, TSN, MQTT, AMQP, etc., are enabling communication right from the sensor to the cloud.
The field level specifications of OPC UA, called OPC FLC is under development that will redefine the communication across all the layers of automation pyramid.
While connectivity is making a major progress in the industrial front, the OEMs are constantly on their toes to cater to the communication needs of the end industries. With varied demands of diverse industries, there is surely not one communication protocol that can fulfill them all. However, with continuous research and global consortiums coming forward, we can surely expect an influx of innovative technologies paving the way for seamless and improved communication. Utthunga is one of renowned names in industrial protocols that enables the various industry OEMs to engineer cutting-edge connectivity solutions. We are experts in providing device-level and software-level connectivity services along with verifying, verifying, and certifying the solutions at each step. Therefore, let us collaborate to help you fulfil your connectivity needs.
Check out ourIndustrial Connectivity Servicesto know more.
Inspired to build a simple version of data aggregation and visualization for systems and applications, we have developed a dashboard builder tool for one of our clients. A global leader in industrial automation products and services, the client provides solution-based software and technology-driven industrial engineering solution. While there are many such tools in the market, what we have built is efficient and easy to use.
Widgets: This is the basic component of the dashboard tool. It has configurable elements like Title, Type of Chart, and other options. These widgets can be resized to fit a specific layout and moved around the dashboard to customize the display.
Dashboards: It is a combination of one or more widgets that provide statistics of configured motors, sensors, or other components in the plant. The dashboard can be customized to suit specific requirements in terms of features, functionalities, or visualization layout.
Templates: These are the industry-standard formats used for aggregation and display of data for individual field devices or the entire plant. The Administrator of the dashboard builder can create such templates based on preferences and requirements at various levels such as an operator, plant supervisor, or the plant head.
The primary javascript plugins used for this dashboard builder tool are:
React Grid Layout (RGL)
The RGL system is used for rendering multiple widgets in the dashboard. This helps layout mapping based on breakpoints. It provides intuitive and easy-to-use layout features for dragging and resizing the widgets that enhance the efficiency and responsiveness of the entire application.
Uplot
We experimented with different types of data visualization charting tools such as Chartjs, Victoryjs, and Uplot for rendering a large number of data points. Finally, based on the best time-series data rendering performance, we selected Uplot. With more than 1 Million points to be rendered, Uplot performed intended functions very efficiently.
Plotly
Other than time-series data, we also used 3D mesh plots and indicators for building effective data statistics features in the tool. Among multiple open source libraries, we used the Plotly library. This provided an excellent set of plots that render simple, yet insightful information for detecting anomalies.
React Table
For certain widgets, we wanted more than just regular table features like sorting (client/server-side), footers, and pagination. Among various options, we chose React Table plugin for its versatile features. We have used the standard list as well as the embedded table in the widget that gives the complete solution.
React Calendar / Date Range
The Date-range option is a very common, and also an important feature for any dashboard. For our client, we introduce predefined options for the shortcuts like last-1 Hr, last-5 Hrs, last-12 Hrs, last-1 Day, last-7 Days, and so on for capturing real-time data. Also, the custom date-range option feature for viewing historical data is a crucial dashboard feature. We found the React Date Range plugin an excellent fit for the use cases.
React Filters / Select
Searchable filters are the obvious choice for long data tables or reports. In our case, however, we needed a dynamic searchable component with intuitive selecting features. The React- select plugin provided us with the exact functionality that suited our requirements. On focus, it displays default drop-down options. Also, powerful features like search functionality with async data, and the color options matched nicely with the default bootstrap theme.
The Dashboard Builder Tool was developed within a short span of 2 months. The application is live in the client’s production environment, delivering delightful performance.
Utthunga cherishes innovating value-added solutions for its customers in various fields of industrial automation. For your queries and requirements write to us at[email protected].
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