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

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...

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Bibliographic Details
Published inIEEE 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
LanguageEnglish
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
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ISSN2834-8567
DOI10.1109/ICPICS62053.2024.10796589

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Summary: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.
ISSN:2834-8567
DOI:10.1109/ICPICS62053.2024.10796589