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.”


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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