Integration of IoT and Edge Computing in Industrial Systems

The ever-increasing demand for real-time processing, low latency, and seamless connectivity in industrial systems has paved the way for integrating the Internet of Things (IoT) and Edge Computing. This chapter goes into the revolutionary amalgamation of these two domains and how their convergence fosters significant improvements in industrial processes and operations. IoT, characterized by its myriad of interconnected devices, sensors, and actuators, has been pivotal in transforming the industrial landscape by enabling continuous monitoring, predictive maintenance, and real-time data acquisition. However, the vast amount of data generated by these devices necessitates efficient processing and analytics capabilities, which, when performed on distant cloud servers, could introduce latencies detrimental to real-time industrial applications. This is where Edge Computing plays a crucial role. By positioning data processing closer to the data source, that is, on the edge of the network, it mitigates the latency issues, reduces the load on bandwidth, and ensures faster decision-making processes. Integrating Edge Computing with IoT devices in industrial systems allows for real-time analytics, local data processing, and swift actuation, crucial for applications like autonomous robotic operations, safety systems, and instantaneous quality checks. Furthermore, this chapter discusses the architectural frameworks, benefits, and challenges accompanying this integration. It elaborates on use cases demonstrating significant enhancements in efficiency, reliability, and productivity in various industrial sectors. The findings suggest that the fusion of IoT and Edge Computing is not merely a technological advancement, but a paradigm shift poised to redefine the future of industrial automation and digital transformation.