| Abstract |
In general, the Internet of Things (IoT) concept allows any type of electrical equipment to connect the Internet (thing). As both an outcome, any “thing” will be assigned an Internet Protocol (IP) identifier and will be reachable using normal Web protocols such as Domain Name System (DNS). The IoT will be a technology or functionality associated with conventional ISA-95 automation systems in an automated environment. IoT automation elements include sensor, actuators, Programmable Logic Controllers (PLCs), control loops, data analytics, control models, simulators, and optimizers. The IoT, Industry 4.0, and intelligent systems might all be combined to produce a strong mixture that foreshadows an amazing future with enhanced efficiency. In many areas, especially the industrial sector, long-term growth is crucial. With the help of an intelligent system, we may be able to detect and address significant issues in Industry 4.0. As a consequence, the concept may be thought of as a physical device or a feature computed in a software system that runs on any device with sufficient computing power. An IoT device presently lacks a standardized technology. Several projects to standardize are now in the works. For example, the International Telecommunication Union has a standardization working group SG20 on “IoT and its applications, including smart cities and communities,” and Institute of Electrical and Electronics Engineers (IEEE) has an ongoing IoT Ecosystem study as well as the IEEE P2413 draught standard for an architectural framework for the IoT. This chapter provides a review of the literature on revolutionary industrial growth and the difficulties and advantages of Industry 4.0. One of the most pressing issues in the current scenario is achieving long-term growth. Air quality has become a major problem on a global scale. This chapter also includes a case study on the merging of meteorological sensors with remote sensing devices. This case study demonstrates the relationship between meteorological sensors, such as temperature, wind, and relative humidity, and Atmospheric Boundary Layer (ABL) as well as its importance in regional air quality monitoring. The case study also highlights the necessity for advanced technologies such as the IoT and Artificial Intelligence (AI) to be integrated into the field of environmental monitoring. © Springer Nature Singapore Pte Ltd. 2023. |
