What is the Industrial Internet of Things (IIoT)?

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Automation and Internet Cloud Computing are evolving and merging into a space allowing for Artificial Intelligence (AI) programming to facilitate improvements in productivity and efficiency with many economic benefits.

Along with Internet Cloud computing and other advancements with the Internet, we are now in the middle of the next industrial revolution mining and turning data into information.

This period of evolution is called Industry 4.0 or the Fourth Industrial Revolution which includes the Industrial Internet of Things (IIoT) and Digital Transformation mechanisms that facilitate this evolved 4th generation period of Automation.

While the Industrial Internet of Things does fall under the Internet of Things (IoT) area of influence, the key difference is IIoT concentrates on the connection of machines and devices in industries like manufacturing, healthcare, and logistics.

IoT is commonly used to define consumer-based devices like Fitbits, and a wide range of smart home devices.

IIoT is about getting information that every single consumer need in their hands when they want it and Digital transformation is the digitization of a business in how we must move to a unified organize data space using the International Society of Automation standard for developing an automated interface between enterprise and control systems or ISA95.

The Industrial Internet of Things is all about interconnected instruments, sensors, and many other devices that are networked together and communicating with computer-driven industrial applications for many manufacturing and energy management areas of business.

IIoT is an evolution of a control system that allows for a significant improvement in automation by using cloud computing to enhance and optimize process controls.

Industrial IoT depends on many technologies but the key technologies primarily consist of Artificial intelligence, Cybersecurity, Cloud Computing, Edge computing, and Data Mining.

1) Artificial intelligence or (AI) and machine learning or (ML) are fields that are part of computer science.

2) Cybersecurity technology becomes an important basic platform for IoT and IIoT enabling disconnected machines to physically connect and communicate in a secure method.

3) Cloud computing is basically using IT services and the files to be uploaded and downloaded from Internet-based servers.

4) Edge computing is a distributed computing model bringing data storage closer to the location where it is needed and optimizes sensors, industrial computers, and devices that are part of the IIoT system for publishing and consuming data for faster processing.

5) Data mining and analytics are about collating and examining large amounts of data stored from various parts of the enterprise.

Companies want to be more competitive, increase efficiency with just-in-time manufacturing in meeting higher customer demand with better inventory control. We can do all of this with the creation of the organizations’ overall automation a digital twin.

A digital twin is a virtual representation referring to a digital replication of the actual companies’ physical assets, processes in place, automation systems, and devices. The twin uses real-time data to enable learning and reasoning for improved decision making.

While we may benefit from a long list of benefits through the IIoT transformation, there are some concerns and risks we should be aware of.

Some of the potential risks of adopting IIoT are the expense of cost of data integration, lack of experience, and difficulty of implementation, and the devastating cyber threats.

In the long term, IIoT could more than pay for itself, but many organizations are still justifiably concerned about investing so much in IIoT.

On the bright side, the benefits of IIoT in manufacturing, pharmaceuticals, agriculture, mining, Oil and Gas, and retail are gaining ground and many companies are embracing this new paradigm for solutions in optimizing operations and personnel productivity.

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#IIOT #Industry #RealPars

[.Solutions]

Excellent video Realpars! The community really wants to hear more about this topic! We posted our what is IIoT video almost 2 years ago and clearly there is still a lot to learn!

[muheet]

I have a few questions I wanted to ask.
1. What are the potential cyber threats to IIOT?
2. Where does data analytics fit in the pyramid that was shown in 7:03?
3. Can we initiate the IIOT as a standalone monitoring system? Is it profitable for the client?
4. How about manufacturing equipment that do not have PLC integration. How do we collect data from those?
5. What is the average ROI for a typical IIOT deployment on used cases?

Thanks in advance.

[MilenaAyala-un]

This is interesting! The Industrial Internet of Things (IIoT) is transforming industries by connecting machinery, sensors, and systems to enable smarter operations. Through real-time data collection and analysis, IIoT enhances productivity, improves safety, and allows for predictive maintenance, which can reduce downtime and operational costs. It’s incredible to see how IIoT is helping industries make data-driven decisions and streamline processes. For those exploring industrial tracking solutions, GAO RFID offers tools that can integrate well within an IIoT framework.

[devjyarn]

I'm so excited by this concept, and motivated to work within a role of IIoT in the industry. I've got a particular interest in precision agriculture and greenhouse environmental anticipation and response.

[hirenparekh]

Much awaited video from my side of Realpars. Needless to say "excellence at its best". Looking forward for same !

[udaysrivastava_]

I knew 0 about IIOT, now I know it all
ThankYou!

[anwaral-ariny]

if I want to study IOT and IIOT and more about industry 4.0

[rivalbagaskara]

As usual, ur vids are really easy to understand. Thanks!

[Bonheur]

It's interesting but I need to repeat it for understand all details. Thanks real pars.

[shreerajkumar]

Any examples of protocol that conforms to ISA 95 and also can be used for exporting PLC data via cloud platforms?

[sherylmccrary]

Great summary and particularly excellent illustrations. You list data integration as a primary obstacle but that is also where the primary benefits are.

[AnimSparkStudios]

thanks for responding, we need more talking about the edge devices

[agstechnicalsupport]

A good brief and instructive summary on IIOT. Thank you for sharing !

[fellaastuti]

Thank you for the video Realpars. I would like to ask, what skill needed to face the IIoT? Does knowledge in programming language will be useful? If it does, what is the programming language that will be used in IIoT? What other skills needed to complement programming skill to face Industry 4.0 era? Thank you for the answers..

[jacobcamenzind]

Best explanation of this topic out there. Well done as always

[hermisans.a.]

Thank you for the video. As an engineer on a company that specialize in agricultural automation systems, and looking forward for the future of the sector, I am very much interested on the subject. I have some notions on ML (online courses... a bit of tinkering...) and can appreciate the potential (for example, optimizing irrigation extrapolating on the actual data we have on evapotranspiration). Any courses?

[ImmortalSoulOfIndia]

Very informative video, could you please make an video in IIoT protocol & the components are used in cloud to manipulate the Industrial Data.

[nikhilbollineni]

Is this all about taking data from the machines by using the technologies in IIoT and enhancing the perfomance of the machines by examining into the data right ? In simple words, can we called it as a data quality in digital production ?

[hamood]

I'm enjoying your videos so much, hope that u continue

[omarmahmood]

For an entrepreneur, what is the best field to choose from, Software engineering, Artificial Intelligence, IOT and IIOT?