The Industrial Internet of Things: Advanced Analytic Framework

The Industrial Internet of Things: Advanced Analytic Framework

Saloni Bhushan, Surabhi Shanker, Korhan Cengiz
DOI: 10.4018/978-1-6684-6408-3.ch021
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Abstract

Volumes of data produced by the dumb machines in industrial environment are used by smart machine for real time analysis. The ultimate result is far better than human handling and analysis of data, and hence enhancement and accuracy in business decisions. IIoT (industrial internet of things) also referred to as industry 4.0 is developed to enhance the accuracy and performance of industrial processes by using smart sensors and actuators. This chapter shed light on key technologies of IoT ecosystem and also discusses the architecture and development details of an IIoT solution its components, applications, and case studies.
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2. Basics Of Iiot

IIoT is a network of intelligent devices such as interconnected sensors, actuators and many other smart devices that interact with people, products, and things to make the industry fully automated. An industrial ecosystem consists of:

  • 1.

    Connected devices with sensors which can communicate and store data;

  • 2.

    Data communication network (public or private);

  • 3.

    Storage space for data generated by IIOT devices;

  • 4.

    Analytics and applications that generate useful business information from raw data;

  • 5.

    People.

A network of these highly intelligent assets and edge devices transmits information directly to the data communication infrastructure, then transforms it into actionable information. This high-end analysis leads to business optimization practices and benefits predictive maintenance. Physical objects like sensors, machinery, devices, buildings, and others can be connected together to form an information network. These interconnected objects work together to achieve a task. Such an arrangement is called the Internet of Things (IoT). Transportation, healthcare, smart homes, smart cities are its various use cases. Semantically IIoT is a technology, while Industry 4.0 combines the power of state-of-the-art technologies with traditional industries, is more associated with some form of economic effect. The concept of Industry 4.0 emerged from IIoT.

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3. History Of Iot And Iiot

The IoT was officially named in 1999. The Carnegie Mellon University (CMU) introduced a Coca-Cola machine in the 1980s. This machine was using the concept of IoT. The refrigerated appliance would connect via the internet to check the drink availability and temperature before going there.

IoT, the Internet of Things, is also known as a “smart” object. Any device that can communicate over the internet is considered a smart object, from cars, surveillance cameras and other home appliances to shoes. It connects the physical objects to the virtual world.

A related concept exists in parallel called IIoT. In manufacturing and in many other industries, smart sensors and actuators are used to enhance productivity. Both concepts have the same basic concept, connected devices that can exchange data. The only difference between the two is their application domain. Although IoT is mainly focused on customer needs, IIoT deals with industrial processes viz engineering, supply chain monitoring and control systems. This image below (Figure 1) shows a clearer picture of both concepts.

Figure 1.

Industrial IoT Vs Consumer IoT

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