Abstract
The industrial internet of things (IIoT) is evolving through remote monitoring, cognitive analytics, and industrial process control. Through product customization, intelligent monitoring applications for production floor shops and machine health, and predictive and preventive maintenance of industrial equipment, the primary goal of IIoT is to achieve high operational efficiency, increased productivity, and better management of industrial assets and processes. But because the industrial sector is only now beginning to implement full-stack development solutions with IIoT, there is a need to deal with the problems that are emerging. The IIoT keeps industrial equipment, machines, and cloud-based applications connected. The authors emphasize the advantages of IIoT, which is one of the chapter's three key themes, which include emerging IIoT hardware and software technologies followed by the challenges of IIoT. Further, this chapter focuses on recent trends and technologies in industrial IoT and challenges in IIoT.
TopIntroduction
In the industrial sector, disruptive technologies are creating enormous waves by enabling enterprises to drastically enhance their access to data to help connect people, organizations, and technologies. Organizations can now easily access factory, production, and industrial equipment data from a distance thanks to these revolutionary technologies Behrendt (2019). The Internet of Things (IoT) is the technology that has caused the most disruption in recent years. Two of the key breakthroughs in the digitizing trend are the Internet of Things (IoT) and the Industrial Internet of Things (IIoT). IoT and IIoT can assist businesses in functioning optimally, making better decisions, and opening up new funding sources by linking multiple devices and items of equipment through the Internet Khajenasiri et al. (2017).
Functioning of Internet of Things (IoT)
A network of connected devices known as the Internet of Things (IoT) allows users to access data and exchange messages. IoT devices often feature sensors that allow them to collect data and connect to the Internet. The IoT consists of a wide variety of gadgets Riahi Sfar et al. (2018). With more connected devices being added daily, it can include anything from factory equipment to electrical substations to buildings and infrastructure. The IoT is used by a range of different types of enterprises, including manufacturers, energy providers, local governments, and others.
With the use of IoT technology, you can gather data automatically from many different tasks, such as how much energy a building's lighting uses or how much water is passing through a sewage treatment facility. The data that IoT systems and devices collect can be sent to a centralized system over the Internet Karmakar et al. (2019). In order to make decisions, managers can use this data. It is possible to go further into the data using data analysis techniques in order to make predictions about the future and gain deeper insights.
Key Terms in this Chapter
Machine Learning: Machine learning is a growing technology which enables computers to learn automatically from past data. Machine learning uses various algorithms for building mathematical models and making predictions using historical data or information.
Cloud Computing: The practice of using a network of remote servers hosted on the internet to store, manage, and process data, rather than a local server or a personal computer.
Network Security: Network security is a set of rules and configurations designed to protect the integrity, confidentiality, and accessibility of computer.
Data Analytics: Data analytics converts raw data into actionable insights. It includes a range of tools, technologies, and processes used to find trends and solve problems by using data.
Artificial Intelligence: Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.
Internet: Internet is a global network that connects billions of computers across the world with each other and to the World Wide Web.
Things: A thing, in the context of the internet of things (IoT), refers to any entity such as a device that forms a network and can transfer data with other devices.
Blockchain: A blockchain is “a distributed database that maintains a continuously growing list of ordered records, called blocks.” These blocks are linked using cryptography. Each block contains a cryptographic hash of the previous block, a timestamp, and transaction data.
Decentralization: The term decentralization can be used to denote security where data is spread out over multiple nodes that reduce the likelihood of any one point or aspect having a negative impact on the system.
Edge Computing: Edge computing is a distributed information technology (IT) architecture in which client data is processed at the periphery of the network, as close to the originating source as possible.