Remote Monitoring and Diagnosis Technology for Electrical Equipment Based on the Internet of Things

• Published in: IEEE International Conference on Power, Intelligent Computing and Systems (Online) pp. 191 - 194
• Main Authors: Zhenqi, Zhao, Hongzhang, Wu, Wenduo, Yu, Xuyang, Zhang, Ruitong, Yuan, Chu, Wang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 26.07.2024
• Subjects: Accuracy; Artificial intelligence; Cloud computing; Data analysis; Electric potential; electrical equipment; fault warning; Internet of Things; monitoring and diagnosis; Power industry; Real-time systems; Remote monitoring; Stability analysis
• ISSN: 2834-8567
• DOI: 10.1109/ICPICS62053.2024.10796589

In order to improve the accuracy and real-time performance of remote monitoring and diagnosis of electrical equipment, a technical framework based on the Internet of Things is introduced into the power industry. The system uses sensor networks, cloud computing and artificial intelligence technology to realize real-time monitoring and data transmission of equipment. Through data analysis and abnormal diagnosis models, it can identify potential faults and issue timely warnings. The results show that the system has high accuracy and stability in monitoring and diagnosis, and can effectively reduce the risk of failure through an early warning mechanism.