Edge-computing-assisted intelligent control of industrial manufacturing processes
TL;DR
The findings emphasize that edge-enabled intelligent control can be used to greatly increase the responsiveness of a system, decrease the latency, and increase the overall operational efficiency.
Abstract
Abstract. The fast development of Industry 4.0 has also resulted in the introduction of new digital technologies into manufacturing systems, which allow intelligent and autonomous work. One of these technologies is edge computing which has become a major enforcer of real-time data processing and low-latency decision-making. This paper is a complete discussion of intelligent control of industrial manufacturing processes with the help of edge-computing. The suggested framework combines edge devices, artificial intelligence (AI), and Industrial Internet of Things (IIoT) to facilitate the real-time monitoring, predictive control, and fault detection. This paper addresses system architecture, control strategies, applications, benefits and challenges. The findings emphasize that edge-enabled intelligent control can be used to greatly increase the responsiveness of a system, decrease the latency, and increase the overall operational efficiency.