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5G networks Connected Devices IIoT Industrial industry 4.0 manufacturing trends Tech

Cellular Connectivity Will Revolutionize Industry 4.0

cellular connectivity

Few manufacturing trends in recent years are as buzzworthy or as promising as Industry 4.0. This data-driven industrial revolution promises to make factories a safer and more efficient place, but today’s technology can’t see it through. While currently connected factories are a marked improvement, manufacturing needs better cellular connectivity to experience Industry 4.0 in full.

With more than 50 billion IoT devices in the world, today’s connections will soon be insufficient. Manufacturers can already integrate many IoT technologies into their facilities, but modern connections may not support bigger busier networks. That’s where 5G IoT comes in.

5G will take the IoT to the next level. This upgrade is particularly beneficial for manufacturers. Here’s a closer look at how these new networks will revolutionize Industry 4.0.

Shortcomings of Hard-Wired Connections

Some people may push back against the onset of 5G networks. After all, the U.S. needs eight times the infrastructure to support these new connections, which may seem too substantial an inconvenience. Why switch to cellular networks for Industry 4.0 when hard-wired connections already provide such speed and reliability?

While fixed connections do present some advantages of wireless ones, they come with their fair share of shortcomings. In a factory, where people and machines are continually moving, physical wires present a problem. Someone could easily unplug an ethernet cable, jeopardizing any mission-critical operation relying on it.

Hard-wired connectivity also limits flexibility, which is a problem many facilities already have in excess. If a factory needed to reorganize or adjust its operations, it would take time to cost money. Since many new technologies only support wireless connections, sticking to a hard-wired system could restrict facilities to legacy tools.

Physical connections, although reliable, aren’t suitable for manufacturers. Wireless connectivity is a necessity, and 5G provides the kind of wireless network the industrial IoT needs.

How 5G Improves Cellular Connectivity

The advantages of wireless over ethernet connections are evident, but why is 5G necessary? The fifth generation of cellular networks benefits IIoT in three primary ways: speed, latency, and bandwidth. Each of these improves with 5G, and each is essential for the IIoT to work.

Experts expect 5G to be at least 10 times faster than today’s 4G LTE connections. Some have even predicted it will be as much as 100 times faster. Such a tremendous increase in speed would make it possible to run virtually any operation online.

With near-zero latency, these connections would also be far more reliable for handling mission-critical workloads. Many companies may be hesitant to move some functions onto the cloud in fear of disruption on current networks. They wouldn’t have to worry about that anymore with 5G.

Finally, an abundance of IoT devices requires a considerable amount of bandwidth. That’s one of the most significant barriers to IIoT adoption today, but it wouldn’t be an issue with a 5G-powered IoT. 

The Internet of Everything

That bandwidth upgrade is one of the immediately noticeable advantages of 5G in manufacturing. Since it can support more devices in the same area, manufacturers can implement IoT devices on a massive scale. The industry could move beyond the IoT into the internet of everything (IoE).

In the IoE, everything — including processes and sometimes people — is online instead of a few physical devices. Imagine a factory where every machine, product, utility, and function can communicate on a single network. This level of connectivity would be impossible without the bandwidth improvements of 5G.

If the IoT makes manufacturing more efficient, then the IoE will revolutionize it. In a sense, everything in a factory is already connected since a mistake at one point can disrupt the entire process. The IoE would give facilities the ability to see and react to these mistakes before disruptions happen.

Predictive Maintenance

One of the most promising benefits of the IIoT is being able to perform predictive maintenance. Instead of repairing machinery as it breaks, sensors communicate when it might need attention. This practice is possible with today’s networks, but 5G can enable it on virtually every machine in a facility.

Even a regular maintenance schedule isn’t always optimal for machines’ health. Too many factors can affect a system’s condition, and maintenance needs, even if frequent, rarely occur on a schedule. Constant monitoring and analysis is the best solution, but running these sensors on several pieces of equipment takes a lot of bandwidth.

On a 5G network, bandwidth wouldn’t be an issue so that manufacturers could use widespread predictive maintenance without worry. Since this gives machines 10 to 15 more days of availability a year, this would lead to a considerable boost in productivity. The savings from this application alone would make up for the cost of 5G infrastructure.

Remote Monitoring and Service

The sensors within a machine aren’t the only part of monitoring and maintenance that would improve with 5G. On a cellular network, workers could look at monitoring data no matter where they are. This accessibility isn’t only convenient but would also save time workers would otherwise spend walking to each machine to check on it.

Remote monitoring doesn’t just apply to machine maintenance, either. Data analysis is a cornerstone for many business practices today, and being able to do so remotely makes data-driven processes far more flexible. Companies could show real-time data to investors, share information with analysts while out of the building, and more.

Not only would workers be able to look at data remotely, but they could also act on it. 5G IoT devices could run troubleshooting and even basic repairs without workers needing to be physically present. With these advantages, manufacturers could make service a far more efficient process, reducing downtime and saving money.

Automated Guided Vehicles

5G networks in cities could finally make self-driving cars a reality, thanks to its speed, bandwidth, and low latency. Manufacturers can take advantage of this benefit before municipalities, enabling more automated guided vehicles (AGVs) in their facilities. Some factories already use AGVs, but Wi-Fi can’t support too many of them, limiting their usefulness.

With 5G in manufacturing facilities, it would be possible to run an entire fleet of AGVs. Numbers aside, the lower latency these vehicles have, the better since any network disruptions could hinder their navigation. If these are to work safely alongside people, they need a reliable network.

Despite their efficiency and safety benefits, AGVs haven’t seen high adoption rates in manufacturing. Nonmanufacturing environments have deployed more than 12 times as many AGVs as manufacturers as of 2018. The onset of 5G networks could make these technologies viable for more facilities.

Operational Flexibility

Flexibility is becoming increasingly critical for manufacturers, but the industry is historically inflexible. Today’s market expects on-demand, personalized service, and products, which requires manufacturers to adapt quickly to changes. Since cellular connectivity enables further automation, it leads to greater flexibility, thanks to higher efficiency.

Automation predates 5G by decades, but 5G makes it more reliable and efficient. Its benefits in maintenance, communication, and accessibility enable manufacturers to use more robots and efficiently. As a result, facilities can move toward a more on-demand model, cutting down on in-house inventory, enabling flexibility.

Without sitting inventory, facilities could adjust their operations without much disruption, which is crucial in today’s digital world. Since 5G would also allow manufacturers to run all machinery on a wireless network, they could issue updates far faster. Today, automated machinery is notoriously inflexible, but the connectivity benefits of 5G could change that.

New Cellular Networks Enable and Improve Industry 4.0

The shift toward Industry 4.0 is already taking place, despite the lack of 5G networks. Without these new cellular connections, though, manufacturers won’t be able to push Industry 4.0 to its fullest potential. Today’s systems are too slow, unreliable, and limited to handle the scale of IoT devices that manufacturers need.

5G in manufacturing will help the industry move past the IoT and into the IoE. When everything in a facility can run on a single network and do so reliably, manufacturers will become safer, more efficient, and more profitable. The 5G IoT will help the industry become what it needs to be to meet the modern world’s demands.

Widespread 5G networks are still several years off from becoming a reality. When they do become available, they could revolutionize the manufacturing industry.

Image Credit: panumas nikhomk; pexels

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How do IoT Sensors Work?

iot sensors

The last few decades have experienced dramatic changes in the world of computers, software, and computing technology. As an engineer, it is fascinating to be a part of an era that boasts huge amounts of computing power. The most popular ones are personal computers, laptops, hand-held devices like smartphones and smart-watches.

It has become impossible to imagine and lead a life without the assistance of computing prowess. And the best part is, we are still skimming the surface of the vast computing potential lying dormant within such seemingly intelligent machines.

With the advent of Internet-of-Things (or IoT) that has taken the computing technology to the new level and redefined the word “smart� (How Smart Cities Can Help Build a Better Post-Pandemic World), it is fair to state that the excitement has only begun.

This article aims to answer the question, “how does a sensor sense?â€� and focuses on the physics of a sensor’s working.

What is Internet-of-Things (IoT)?

Engineers and scientists tend to nomenclate (picking a name for something) so that the newly coined term is self-explanatory. The term IoT is no different.

As the name suggests, IoT is an umbrella encompassing all types of devices. They are either embedded into a system or exist as an individual entity. Either way, the key is that they communicate (or talk) with each other via the internet. Every such device has an embedded transmitter and receiver that effectuates the communication process using the internet.

However, every IoT system is not the same and is not necessarily apt for all applications. As a matter of fact, they are akin to us humans. Every individual is great at something. You cannot expect an actor to fly an aircraft and a pilot to act in a film. Similarly, you cannot expect a single IoT system (and device) to do everything. Hence, engineers design different systems to perform different tasks to provide the best possible results.

In modern-day business, the customer is king and this is true across all industries. Hence, the system designers always design, produce, and ship IoT systems to provide a seamless user experience. IoT Hardware Product Development: How-To by Vera Kozyr, reiterates the time and efforts invested by all the stakeholders into creating an end-to-end, plug-and-play style system from the perspective of a hardware product.

Before exploring the innards of an IoT device, it is important to differentiate between a device and a system.

A device is like an individual member, while the system is like a team involving the individual. Thus, a device is a part of a system, while the vice-versa is not true.

Components of the IoT system

Any system comprises multiple individual components (and sub-components) that collectively work towards achieving a common goal. Moreover, being a part of a system (team) is ensures higher productivity and achieves better results. The major components of an IoT system are:

  • The Sensors to sense physical quantities
  • On-site central micro-controller that controls all the actions performed by sensors and other components
  • Cloud, Data Analysis and Processing to analyze and process the received data
  • Transmitter and Receiver to establish a communication between different sensors, sensors and micro-controller and the central cloud server via internet
  • User Interface to communicate with and perform tasks instructed by the user

IoT Sensors: The Bridge to Real World

A good example of an IoT system is a smartphone that usually consists of:

  • A Global Positioning System (GPS) module to determine the location
  •  A temperature sensor to sense the ambient temperature
  • A microphone to sense the user’s voice and,
  • A proximity sensor to sense the user’s distance from the phone and lock it during a call.

Different applications on smartphone use different sensors. For example, Google Maps has a user interface (an app) to interact with the GPS module and gather location co-ordinates. It processes the data via an internet connection to help the user route to his/her destination.

Battery Management System (BMS) is another example of an IoT system that uses multiple sensors. A BMS is an electronic system that protects and manages the operations of the battery. In short, it is the personal caretaker of the battery. I’ve explained the functioning of a smartphone BMS in my article – Battery Management System in Smartphones — in energyio.tech.

A sensor acts like a gateway between the computing world and the real world. Consequently, the sensor needs to convert whatever it senses in the real world into a special something that a computing machine understands.

Thankfully, the common link between the two worlds is electrical energy!

Hence, we arrive at the sensor’s technical definition – a sensor in an IoT system senses the desired physical quantity and converts it into an electrical signal transmitted to the central cloud-based server directly or via an on-site micro-controller.

An IoT sensor is, well, a sensor used in an IoT system.

Micro-Electromechanical Systems (MEMS) and The Sensing Mechanism of IoT Sensors

Micro-electromechanical Systems (or MEMS) is a microsystems technology (MST) consisting of minute components made up of semiconductor material like silicon with size lying in the micrometer range.

If not all, most sensors detecting mechanical energy use MEMS technology in one way or the other. An accelerometer is an extremely popular example. This is primarily due to the rapid growth and vast dependence on computers.

Since MEMS technology’s manufacturing material is a semiconductor, the primary advantage is that it can be embedded into an integrated circuit (IC). An IC includes other computing components (also made up of semiconductor material) that act on the data received from the sensors.

In fact, the small size and chip integration dramatically reduce the cost. You can literally buy a MEMS-based accelerometer for less than ₹250 ($3.34). Also, MEMS-based sensors boast high sensitivity and detect minute changes, which were unimaginable with predecessors.

Types of Sensing Mechanisms and Working Principle

Depending on the application, a system may comprise one or more sensors, sensing a different physical quantity, thereby having a unique sensing mechanism. The two of the most popular sensing mechanisms in MEMS technology that convert a physical change into an electrical signal are:

  1. Resistive based sensing
  2. Capacitive based sensing

The sensing mechanism in both the types uses a simple principle – any change in the physical quantity is captured by a change in electrical resistance or capacitance of the material used in the sensor. Thus, a larger change in the physical quantity shows a larger change in the resistance or capacitance of the material and vice-versa.

The major difference between the two types is the working of the two mechanisms. A resistive based sensing system uses, well, a resistor while a capacitive based sensing system uses a capacitor.

Don’t worry if you haven’t heard of a resistor and capacitor before this article. You can read the difference between them. Think of the two components as two people with their own unique set of traits.

Resistive Based Sensing Mechanism (Using MEMS Technology)

We have been using resistive resistors to measure, analyze, control and observe various physical quantities for over a century. As mentioned earlier, whenever a physical quantity (like pressure) changes, the amount of change in the electrical resistance determines how much the quantity has changed.

The change in the electrical resistance is governed by physics principles like Photoconductive Effect, Thermoresistive Effect of Semiconductors and Piezoresistive Effect [1].

  1. Sensing via Changes in Physical Geometry – The electrical resistance of a material depends on the material’s geometry, length, and cross-sectional area. Any change in the length or/and cross-sectional area will directly affect the resistance of the material.
  2. Piezoresistive Effect – A piezoresistive material is a special material whose electrical resistance changes when the material experiences a mechanical deformation like a push, pull or squeeze. Hence pressure, vibration, and acceleration measuring IoT sensors commonly use piezoresistive materials.

Other Resistive Based Sensing Mechanisms Used in IoT Sensors

Although MEMS-based IoT sensors are extremely effective for mechanical, physical quantities, resistive-sensors’ operation detecting non-mechanical quantities like light and temperature is not the same. Thus, the sensing mechanism changes.

  1. Light Sensing – To detect light, a special light-sensitive material is required. Plants detect light with the help of special molecules called photoreceptors. Similarly, any light-sensing sensor uses photoresistors – a material whose electrical resistance decreases as the light’s intensity increases. A light-dependent resistor or commonly known as LDR is a very popular IoT sensor used to detect light.
  2. Temperature Sensing – Similar to light sensing, temperature sensing also requires materials that are receptive to changes in the ambient temperature. Most temperature sensors consist of a thermistor – a material whose electrical resistance decreases with increasing temperature. For example, one of the parameters used to prevent over-charging of modern-day lithium-ion batteries is to detect the battery temperature with thermistors’ help.
  3. Chemical Sensors – These sensors are used to detect a particular chemical. The sensor contains a sensing layer made up of a material whose resistance changes whenever it reacts with the chemical. For example, many IoT systems use the MQ series (MQ9, MQ2, MQ7, etc.) gas sensor. It detects the presence of various types of gases like carbon monoxide, LPG and methane.

Resistive-sensing in IoT sensors
Fig 1 – Resistive Based Sensors

Conversion to Electrical Signals

Arguably, the second most popular scientific equation, Ohm’s Law (V = IR), establishes a direct relationship between electrical current, voltage and resistance. The beauty of this law is that any small change in the resistance can be converted to an electrical signal (voltage or current) in a jiffy.

Conversion of physical change detected by resistive sensing to electrical signals in IoT sensors
Fig 2 – Conversion of Physical Change in Resistive Sensing to Electrical Signals

Hence, every resistive based IoT sensor (including MEMS technology) uses Ohm’s Law directly or indirectly.

Capacitive Based Sensing Mechanism in IoT Sensors

A capacitive-based sensing mechanism captures the change in physical quantity by changing the material’s capacitance and, like resistance, depends on the material’s physical geometry.

However, almost all capacitive based sensing systems predominantly rely on changes in the physical geometry – area, distance, and the material’s capacitive ability described by the amount of charge it can store.

A touch sensor is one of the most common capacitive based sensors in an IoT system. A smartphone uses a touch screen consisting of numerous touch sensors. Essentially, it is a pressure sensor that detects the pressure/force from physical touch.

When the screen is stimulated by physical touch, the pressure exerted changes the area or/and distance, which triggers a change in the value of the capacitance underneath the screen.

This change in capacitance acts like an electrical switch that drives an electrical signal to the next stage. Fig 3 illustrates the working of a touch sensor.

Working of capacitive based IoT touch sensors
Fig 3 – 2D and 3D Working of a Capacitive Touch Sensor

Similar to the resistive based sensing systems that use Ohm’s Law, capacitive based systems have their own unique relation that maps a change in the electrical capacitance to voltage and current. Unfortunately, the mathematical equation is beyond the scope of this article.

Capacitive vs. Resistive Sensing

In resistive-sensing, some physical quantities like light and temperature, require a special type of material. This is a boon and a bane! On one side, the resistance variation is unique to the quantity being measured. But on the other side, this uniqueness requires an entirely different measuring/sensing procedure.

Instead, most capacitive based sensing systems maintain a uniform sensing procedure as the change is primarily due to variations in physical geometry. Moreover, they are relatively new compared to its resistive counterpart and are currently limited to sensing mechanical systems using MEMS technology.

Conclusion

I hope I was able to explain the working of some of the commonly used sensors in IoT systems. Moreover, sensor design fabrication is only one part of an IoT. The system has to effectively process the received data and provide application-centric results by catering to the user requirements.

As it stands now, IoT sensors have penetrated the manufacturing industry and automated most manual operations leading to an entirely new branch called The Industrial IoT (IIOT).

Unlike personal computers and smartphones, the IoT technology is yet to enforce a dramatic transformation in our lives. Until then, the entire IoT ecosystem needs to continue evolving.

References

[1] W. Y. Du, S. W. Yelich, “Resistive and Capacitive Based Sensing Technologies�, Sensors and Transducers Journal, April, 2008

[2] P&S Technologies, “P&S OPC271 Opto-Potentiometer�, TNT Audio, June, 2009

[3] Wikimedia Common Contributors, “Photoresistor 2.jpg�, Wikimedia Commons, The Free Media Repository, November, 2018

[4]  “NTC Thermistor.jpg,� Wikimedia Commons, The Free Media Repository, September 2019

[5] Wikimedia Common Contributors, “R against T for a thermistor.png,� Wikimedia Commons, The Free Media Repository, July 2020

[6] Wikimedia Common Contributors, “PeizoAccelThoery.gif,� Wikimedia Commons, The Free Media Repository, July 2008

[7] Indiamart, “Standard MQ 9 Combustible Gas Sensor�

[8] D. Fischer, “Capacitive Touch Sensors,� Fujitsu Microelectronics Europe GmbH, Jan 2021

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fleet management IIoT Industrial Industrial Internet of Things Industrial IoT Internet of Things IoT process automation Tech

All You Need to Know About Industrial IoT

industrial IoT

The term IIot, or Industrial Internet of Things is used to refer to the industrial applications of the Internet of Things. We are talking about using the technology in anything from the machines in a factory to engines inside a car – these are all filled with advanced sensors equipped with wireless technology. These can collect and share data enabling extensive use of digital intelligence across various industries. Here is all you need to know about industrial IoT.

Industrial IoT Use Cases

Applications of Industrial Internet of Things

Process Automation

One of the best use cases of the industrial Internet of Things has been the process of automation across many industries.

With the help of smart sensor networks that can connect with each other through cloud computing systems, industries have been able to automate a number of their crucial processes and achieved a higher level of productivity and efficiency.

It has provided better control of the process and has significantly decreased the number of people required to get the job done.

Restaurants have been using process automation to get rid of food wastage. With the incessant developments in IoT technology, the evolution of traditional industries will become inevitable.

Predictive Maintenance

To be able to run effective predictive maintenance, you will require the processing of large amounts of data and will have to run sophisticated algorithms on it. This cannot be implemented within SCADA.

Therefore, an IoT-based solution, that can store terabytes of data and can still run the required machine learning algorithms, was introduced on several computers to keep a tab on the progress and have prior knowledge of industrial equipment failing.

A robust IoT-based predictive maintenance ecosystem has become essential for modern industries. The architecture consists of field gateways, cloud gateway, streaming data processor, a data lake, and machine learning algorithms.

Asset Tracking

Asset management and tracking have become much easier and efficient as an IoT-based digital asset tracking can now connect different components of the business chain and create an integrated strategic system.

We are talking about connecting multiple stakeholders, processes, workforce, and assets to a single digital IoT-driven system that provides a unified view of a process now backed by effective data analytics.

Industrial IoT can be added to your traditional solutions to make them more intelligent and get automated workflows, real-time alerts, dynamic edge control of assets, cross-domain analytics, real-time visibility and more.

Fleet Management

IoT-enabled solutions have revolutionized fleet management by making the process more environment-friendly. An IoT solution can help monitor the carbon emissions and monitor the service condition of the fleet.

Industries can build sensors-equipped fleets that can send automated signals and warning alerts like system failure, low battery, engine temperature or maintenance, and more. IoT-based solutions can also regulate driver behavior which can result in improved fuel efficiency.

The fleet manager can keep a tab on all such data and get actionable insights. IoT solutions allow managers to implement changes and make data-backed decisions.

Technologies in Industrial IoT

Kubernetes, k8s

1.   Front-End Edge Devices

The sensor data is what industries need to get important insights into their processes. This makes the hardware containing the sensors a crucial component of the IIoT system.

Many front-end devices and control devices are installed to capture critical process-related data and analyze it in real-time. Therefore, the devices must be reliable and of very high-quality so that the stream of data captured is consistent and accurate as well.

Some of the traditional industries already have devices installed that collect data for them. It will be easier for them to develop their process and make it IIoT-enabled.

However, if your data collection process isn’t there in the first place, you will have an opportunity to install a modern set of tools for your industry. It’s quite a win-win situation for you because your process has to evolve some or the other day. So, why not now?

2.   Connectivity Technology

Industrial IoT solutions rely heavily on wireless technologies to transmit and receive commands from the cloud. You have got Wi-Fi, Bluetooth, mesh networks, cellular networks, LPWAN technology, and what not to choose from.

Before going forward with technology, you should pen down your requirements. Different connectivity technologies have different range and capacity. It’s not just about wireless connectivity. Many of the industries have established IoT devices and connected them through wired systems as well.

If your setup allows for a wired connection, you should go for it as it will save a lot of money and provide even better reliability.

3.   Industrial IoT Platforms for Data Analytics

Once your setup is complete, you can focus on the data analytics part for which you will software that can analyze the collected and transmitted data. The software can be trained or programmed to make decisions for the processes.

The software is called the industrial IoT platform and it helps connect the hardware, access points, and data networks and also the end-user applications. All the data and command management happens with the help of real-time task management and data visualization.

The IoT platforms act as the middleman between the data and the processes or applications. One of the most common issues you will face is that you won’t get an off-the-shelf software solution for your process.

You might have to build the solution for yourself or buy the whole end-to-end software solution and the hardware and align your industry setup accordingly.

Wrapping Up

There you have it. We have discussed what you need to know to understand IIoT in depth. Let us know if this piece of content provided you with great value in the comment section. We’d love to hear from you. Also, since you are here, don’t forget to follow us on social media, we bring all the latest news and updates from the world of technology, startups and more.

Further Reading

What can we expect for IoT in 2020?

Is it time to implement IoT in the warehouse?

Top 5 areas where companies want IoT solutions?

Will companies embrace digital transformation?

Demystifying the 8 core myths that surround the Internet of Things

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IIoT Industrial Industrial Internet of Things IoT

IIoT Trends and Challenges to Watch

IIot trends

The Industrial Internet of Things (IIoT) is the application of IoT in an industrial setting. IIoT is sometimes referred to as Industry 4.0, though the latter primarily focuses on the manufacturing sector, using upgraded technologies to reduce waste and increase value in this field. Here are the IIoT trends and challenges to watch.

IIoT encompasses all areas in which industrial equipment is used.

Like Industry 4.0, IIoT will revolutionize processes through connected machines that can optimize productivity and revenue. IIoT can be seen in a variety of industries, from transportation to public safety and from energy to, of course, manufacturing.

There are new trends in this space and we need to see why challenges leaders are trying to manage these trends.

Solving for the Influx of data from disparate systems

More and more data is coming in for anyone using IoT, but this is especially true in the world of IIoT. Operators have become overwhelmed by the massive amount of data, making it difficult to harness its power for decision-making. One reason why it’s so difficult to make sense of the data is that it comes from so many disparate systems.

Angie Sticher, COO/CPO of UrsaLeo, the only company to offer photorealistic 3D digital twins combined with live sensor data, asset data, maintenance data, notes, “the varying types of data streams from different systems that don’t connect to one another and can’t give a realistic view of what’s happening in a given environment.

To help manage the deluge of data, technology is being deployed and creating a workflow that moves between these systems giving employees and managers the tools to triage issues quickly and get to problem-solving.

Ultimately this also helps in getting to the resolution phase of an incident more quickly.”

Manufacturing Success in IIoT

Though current trends do not indicate an uptick in US manufacturing, some in the IIoT industry think this may change. Joy Weiss, President, and CEO of Tempo Automation, a smart factory startup for printed circuit board assembly (PCBA), has seen this trend come to light. “We have seen a growing trend among companies preferring to switch to US-based manufacturing partners.

Using these partners instead of contracting overseas for a number of reasons, including the recent global health crisis due to Coronavirus,” she said. “Some of these advantages include geographic proximity, added IP and security certifications and standards, as well as the use of US-sourced, authentic components, and parts.”

Christine Kyle-Remmert, CEO and Founder of LoneStarTracking, a company that provides telematics solutions that include the latest Cat-M1 cellular technology and cellular-free LoRaWan deployments across North America, explains that power consumption, transmission distance, and price are three factors that play a role in the successful deployment of this technology.

“As technology progresses, sensors are getting smaller, more lightweight, and more affordable. However, no one has time to run around and replace batteries. Just a couple years ago, IoT sensors would only last 1-2 years; however, today, we are deploying sensors that can last 10+ years on a single coin cell battery,” Kyle-Remmert explains.

“Using technology like LoRaWAN, IoT sensors can now communicate 10+km and even further, with very little power. If you can develop a sensor that is a low cost, then there is nothing restricting you from deploying more sensors to get denser coverage.”

Skills Gap in the World of IIoT

Like many new technologies, a skills gap permeates through this industry. Ekaterina Lyapina, Solutions Architect and AI and IIoT Consultant at Zyfra, a company that develops industrial digitalization technologies for machinery, metallurgy, mining, and oil and gas notes, “The qualifications needed to install new smart robots in production lines are often not available in most companies.

Facilities and factories lack free time and robot technicians to update their ongoing production. This leads them to a fall behind AI and IIoT trends, as they are not capable of using the latest robotics technology. They are missing skills in integration, implementation, and debugging artificial intelligence enhanced systems.

So, the hindering factor in AI automation is workers’ qualifications at the foremost front. Especially the training and customization of neural networks require deep specialists’ knowledge to dig the treasures of AI.”

Sticher offers a potential solution to this skills gap, noting, “virtualization is driving cost reduction for training in a number of sectors. Digital Twins and 3D Models make it easier to train staff because they mirror real-world environments and shorten the learning curve.

Coupled with combining and scaling data from many systems, digital twins also offer a realistic and readily accessible information hub to an environment’s current status.”

Conclusion

Especially with the new order of the world, due to new restrictions and regulations brought on by Covid-19, it will be interesting to see where IIoT stands at the end of 2020.

While innovation in this industry continues, companies are grappling with the changes and safety precautions that need more immediate attention.

Image Credit: Pexels

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