An Introduction to Industrial Connectivity

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.

How Communication Protocols Converge OT and IT?

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.

Endnote

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 our Industrial Connectivity Services to 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.

Building blocks of this tool are :

1. Widgets
2. Dashboards
3. Templates

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.

 Foot Note:

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].

What is Industrial Automation?

Automation helps save a lot of time and effort and at the same time, it helps get a job done more accurately. Industrial automation involves the use of control systems, computers and robots to handle and perform certain operations. A survey by Fortune Business Insights reported that the global industrial automation market will reach 296.70 billion dollars by 2026. In this blog, let’s explore the top 10 advantages of industrial automation. In this blog, by Industrial Automation, we are referring more to the advancements of this century, i.e. after the time computers and electronics started to play a key role in the industrial sector.

Industrial Automation in Manufacturing

Automation is greatly transforming the manufacturing industry. This revolution is bringing cyber-physical systems into existence. Many manufacturing units are already employing robots and using digital technology to automate processes. A few examples of automation in manufacturing are:

• Automation of food and beverage packing to reduce chances of human contamination
• Numerical control in the machine tool industry
• Use of thermal sensors to monitor high activity areas on the floor
• Automatic sorting in the production line
• 3D printing

Top 10 Advantages of Industrial Automation

1. Reduces Cost

One of the top advantages of automation is reduction in manufacturing costs. Instead of having a floor full of workers, you can now have a few supervisors and have robots do the job. The initial investment will be a little high, but then the operation costs will reduce, which will be beneficial in the long run. Your expenses will only include maintenance, repairs, and energy. AI and data analytics have also helped reduce production costs by providing insights and information to make the right production decisions. Automation helps improve productivity, quality and system performance, which in turn reduces your operating expenses (OpEx). At the same time, automated preventive maintenance can improve the life and performance of the machines. It enhances the value of your assets and in turn decreases your capital expenses (CapEx).

2. Increases Productivity

Automated productivity lines consist of workstations connected by transfer lines. Each work station takes care of one part of the product process. Robotic process automation can be used to mimic many human actions. The system can be configured to login to applications and take care of the administrative work related to the business process. Robots can also be used on the production floor to handle raw materials, clean equipment, operate high-pressure systems, and do lots more. For example, in an automobile manufacturing unit, auto components are cut and shaped in different press working stations. All the parts are then brought together to one place where a robot puts them together to build the vehicle. Process automation greatly speeds up the production process.

3. Enhances Quality

Industrial automation also helps increase and maintain consistent quality of the output. In manual processes, the error rate can vary considerably. On the other hand, automated machines in the manufacturing industry have an error rate that is as low as 0.00001%. Adaptive control and monitoring help check every level of the manufacturing process to reduce the margin of errors.

4. Industrial Safety

A huge benefit of automation is improved safety at the workplace. Using robots for loading and unloading materials or transferring huge machine parts reduce risks of accidents. Safety curtains keep workers from going too close to the assembly lines or fast moving components, thereby improving safety. Thermal sensors continually check the temperatures in the production area. In case, they identify any spike in temperature, the sensors will send an alert. Immediately, precautions can be taken to ensure the safety of everyone on the production floor.

5. Accurate Results

Data automation is based on accurate data integration and connectivity. When accurate information is used in the production process, you can be assured of precise results. AI and ML solutions help you get detailed data that can be analyzed using data analytics tools to get accurate information.

Deep learning algorithms are used to build self-healing digital grids that use data analytics and intelligent energy forecasts to manage energy generation. Machine Learning apps have been used to build a self-learning quality control system for assembly line. ML and AI solutions are scalable and self-learning. Both these features ensure that the automated systems deliver accurate results every time, without fail.

6. Better Working Conditions and Value-Addition

One of the prime benefits of industrial automation is that it ensures consistent production and results. Computers, robots, and automated machines work at a steady pace. It allows you to have a better grip on the production rate. Automation not only delivers consistent production, but also consistent quality. In a flexible manufacturing system, the tools, processing machines, and material-handling robots are connected and controlled by a central computer system. Once the entire process is computed, the production goes on continuously without any drop in the pace or the results.

Flexible automation process lets you design or reconfigure a machine to suit a different product measurement or new product. In traditional production processes, it may take days or weeks to train employees. Another problem is that it can be difficult for workers to get used to the new process, which could cause production delays or quality issues. On the other hand, reprogramming a machine or a robot is easier and takes up less time. Plus, after a few trials, you will be ready to go into full production.

Automation frees up employees from working on tedious and repetitive tasks. This means that they can focus on other areas where they can do a value add. They can help with research and process development. Also, workers can effectively use robotic tools and machines to deliver faster and quicker results. Employees also experience the feel-good factor of doing positive and progressive work.

Industrial automation also helps improve working conditions. As the automated machines are able to step up the production, workers need not work long shifts or overtimes. Work hours are reduced, leading to an improved quality of life. In the United States, industries that adopted automation solutions were able to set a standard work time of 40 hours per week.

7. Industrial Communication

Without industrial communication, industrial automation can be near impossible. The communication system helps monitor and operate entire production lines, manage power distribution, and control machines. Some of the popular protocols for industrial communication are Foundation Fieldbus, PROFIBUS, EtherCAT, EtherNET/IP, and CANopen. Industrial communication allows for faster data analysis and real-time decision making.

8. Monitoring & Predictive Maintenance

A huge benefit of industrial automation is that it helps in monitoring and predictive maintenance. Production lines and production floor can be continuously monitored using sensors. These sensors track temperature, acoustics, time, frequency, oil pressure and other parameters related to the production process. If the sensors detect any change in these parameters, they will immediately send an alert. When the alert is received, the technicians can immediately identify the cause for the change. If it is noted that the changes in parameters may cause equipment problems or issues in the production process, then immediate service or repairs can be done. Automation can therefore help identify possible issues before they blow up into huge problems that can result in production downtime.

9. Equipment Monitoring

An automated equipment monitoring system helps observe the working condition of all the equipment in the manufacturing unit. Sensors, cameras, and network can be used to observe the equipment from afar. The monitoring system also helps diagnose any issues in the equipment and do the necessary repairs and services. This automated solution can be effectively used in petrochemical plants, manufacturing units, and other industries where large and complex machines are used. The automated system enhances safety, reduces the number of operators on the floor, and improves machine performance and lifespan.

10. Production Traceability

Automating the entire production process can greatly help in production tracing. Traceability is not only important in the food and beverage industry, but also in other industries. Tracing helps increase the quality and value of your product and facilitates mapping. Also, traceability makes root cause analysis more effective and aids continuous development. Automation helps trace the entire lifecycle of a product from the raw material to the location where the final product is shipped. You will also have a clear record of when and who did the product inspections, the assembly status, the condition of the machine when the product was processed.

How can Utthunga help in Industrial Automation?

With more than 13 years of industry experience, Utthunga is a leader in industrial automation. Our team includes experts in the latest digital technologies and industry professionals to provide digital transformation solutions customized to your business process and business goals. A few of our industrial automation solutions include:

• Deploying sensors, PLCs, controllers, etc. for automation
• Using embedded engineering to create smart devices (non-digital to digital)
• Offering data integration solutions that integrate plant floor assets to each other and other systems
• Building applications (desktop, mobile) for commissioning, calibration, local diagnostics and configuration
• Building bespoke application to enable integration of OT data to SCADA, MES, Enterprise systems
• Creating analytics solutions

Contact us to know more about our industrial automation solutions.