Application Analysis of Artificial Intelligence Technology in Electrical Engineering Teaching

Introduction

With the rapid development of the economy, the demand in the electrical market has increased sharply, and the role of electrical engineering in the electrical market is increasing day by day (Lee, 2020; Sami, 2022). Automation is a key link in electrical engineering, and automation control technology plays a key role. Traditional automation technology has low efficiency, which is not conducive to the rapid development of electrical engineering and education (Hua et al., 2021). With the rapid development of science, artificial intelligence (AI) technology has been applied to electrical engineering teaching due to its unique advantages (Chen, 2019; Feng, 2018). AI technology refers to the research and development of how to simulate and expand human intelligence, mainly simulating human intelligence to generate functions and apply them. AI technology can achieve intelligent effects through machine equipment, and can replace human beings to complete dangerous and hard work (Ahmad et al., 2021). AI technology realizes AI control with the help of computer technology, which greatly promotes the healthy development of electrical engineering and improves the efficiency of automation control (Ali & Choi, 2020). Introducing AI technology into the automation control of electrical engineering will not only increase the stability of automatic control, but also reduce the operating cost of the control system and improve the economic and social benefits of the industry (Richter et al., 2022). Therefore, it is key to study the influence of AI technology on electrical automation control (Sahoo & Lo, 2022).

At this stage, electrical automation still needs electrical automation systems to control. Among them, information collection and system operation are the most important and basic functions of these systems. In the actual operation process, relevant terminals are necessary for the electrical automation control system. It is necessary to accurately grasp the operation, fault, time, information temperature, and other pieces of information of the equipment, so that relevant personnel can understand the true status of the equipment. The current information control and monitoring can intelligently analyze and process the information transmitted, compared with the automatic control system. After the information processing, it can feedback the terminal equipment. The information that AI cannot process at present needs to be handled manually.