What is the Industrial Internet of Things (IIoT)?
RealPars
https://www.youtube.com/watch?v=HmbUJEShA-8

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0:01 Automation and Internet Cloud Computing are evolving and merging into a space allowing for Artificial Intelligence or AI programming
0:09 to facilitate improvements in productivity and efficiency with many economic benefits.
0:15 Along with Internet Cloud computing and other advancements with the Internet, we are now in the middle of the next industrial revolution
0:22 mining and turning data into information. This period of evolution is called Industry 4.0
0:30 or the Fourth Industrial Revolution which includes Industrial Internet of Things (IIoT)
0:36 and Digital Transformation mechanisms that facilitate this evolved 4th generation period of Automation.
0:43 In this lesson, we will learn about, “What is the Industrial Internet of Things or IIoT”?
0:59 While the Industrial Internet of Things does fall under the Internet of Things or IoT area of influence,
1:05 the key difference is IIoT concentrates on the connection of machines and devices in industries like manufacturing,
1:13 healthcare, and logistics. IoT is commonly used to define consumer-based devices like Fitbits,
1:20 and a wide range of smart home devices for example refrigerators, ring video doorbells, lighting, thermostats, and alarm systems.
1:31 IIoT is about getting information that every single consumer needs in their hands when they want it
1:37 and Digital transformation is the digitization of a business
1:41 in how we must move to a unified organize data space using the International Society of Automation standard
1:48 for developing an automated interface between enterprise and control systems or ISA 95. ISA 95 essentially provides a hierarchical model for the Enterprise,
2:00 Site, Area, Line, and Cell. Each level of this architecture uses a specific software system
2:07 to gather data for that part of the organization needs, in which creates a problem for communication between these disparate applications.
2:17 With most organizations, the data is not real-time and lacks efficiency
2:22 inhibiting key stakeholders to make informed decisions. IIoT is about making decisions from information received real-time
2:31 and not from a report created from yesterday’s data. The Industrial Internet of Things is all about interconnected instruments,
2:40 sensors, and many other devices that are networked together and communicating with computer-driven industrial applications
2:48 for many manufacturing and energy management areas of business. IIoT is an evolution of a control system
2:55 that allows for a significant improvement in automation by using cloud computing to enhance and optimize process controls.
3:04 Industrial IoT depends on many technologies but the key technologies primarily consist of Artificial intelligence,
3:12 Cybersecurity, Cloud Computing, Edge computing, and Data Mining. Artificial intelligence or AI and machine learning or ML
3:23 are fields that are part of computer science. AI is where intelligent machines are developed and respond like humans
3:30 and ML is where machine learning is a part of AI predicting and a more accurate outcome delivered without programming.
3:38 Cybersecurity technology becomes an important basic platform for IoT and IIoT enabling disconnected machines to physically connect and communicate in a secure method.
3:51 Cloud computing is basically using IT services and the files to be uploaded and downloaded from Internet-based servers
3:58 opposed to using local extranet-connected servers. Edge computing is a distributed computing model
4:05 bringing data storage closer to the location where it is needed and optimizes sensors, industrial computers, and devices
4:13 that are part of the IIoT system for publishing and consuming data for faster processing.
4:20 Data mining and analytics are about collating and examining large amounts of data stored from various parts of the enterprise.
4:28 OK, so why should we go through this somewhat major transformation, and what are the benefits?
4:35 Companies want to be more competitive, increase efficiency with just-in-time manufacturing in meeting higher customer demand
4:42 with better inventory control. We can do all of this
4:45 with the creation of the organizations’ overall automation a digital twin. A digital twin is a virtual representation
4:53 referring to a digital replication of the actual companies’ physical assets, processes in place, automation systems, and devices.
5:02 The twin uses real-time data to enable learning and reasoning for improved decision making.
5:08 The digital twin allows experimentation with new information that is generated by cloud-based AI functions
5:15 without having to shut-down production, or be concerned with personal safety because testing is performed in a virtual space.
5:23 Also, the digital twin could be used as a training ground for new employees without impacting the live system.
5:30 And when comparing IIoT and IoT failures, IIoT create much higher risks than IoT.
5:38 Life-threatening situations or major financial losses could happen from an actual system failure or downtime for example.
5:46 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.
5:55 Some of the potential risks of adopting IIoT are expense of the cost of data integration,
6:01 lack of experience, and difficulty of implementation, and the devastating cyber threats.
6:08 Data Integration is one of the biggest obstacles to IIoT implementation. You could be looking at building a system with
6:16 thousands of existing connected sensors and devices, adding new equipment and software systems,
6:22 and interfacing legacy equipment to communicate using standard IIoT protocols. There is a high cost of integration preparing for IIoT,
6:31 requiring new software, hardware, and equipment. You will need to consider the costs of associated training your existing workforce
6:40 and hiring new staff and the time needed to get workers productive.
6:46 And the lack of expertise with integrating IIoT requiring automation companies to be fully experienced
6:52 with an organizations layers of systems starting with the plant floor transmitters,
6:56 process PLCs, operation HMI and SCADA, reporting based on Database Administration,
7:03 manufacturing execution systems or MES for warehouse control and Enterprise Resource Planning or ERP or accounting systems.
7:13 Now integrators are required to have expertise in machine learning, data science, and real-time analytics.
7:21 In the long term, IIoT could more than pay for itself, but many organizations are still justifiably concerned about investing so much in IIoT.
7:31 On the bright side, the benefits of IIoT in manufacturing,
7:36 pharmaceuticals, agriculture, mining, Oil and Gas, and retail are gaining ground
7:42 and many companies are embracing this new paradigm for solutions in optimizing operations and personnel productivity.
7:50 Many manufacturers have already achieved process performance and have reductions in downtime.
7:55 And while manufacturing is certainly leading the way with IIoT adoption, other industries are becoming open to the idea of embracing IIoT for example.
8:06 This concludes the video, “What is the Industrial Internet of Things IIoT?”
8:12 If you have any questions about the “Industrial Internet of Things” in general feel free to add them in the comment section.
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