@inproceedings{61a997920f434151bc22ecd2a5c8c8e5,
title = "Research on Automatic Recognition Method of Action State of High-Voltage Switch Based on Multi-source Information Fusion",
abstract = "This paper studies a multi-level automatic recognition method for the action state of high-voltage switch based on multi-source information fusion technology in substation. Introduce the current different methods for identifying the action state of high-voltage switch, and point out the advantages and disadvantages of each method respectively, the current single action state recognition method for high-voltage switch is no longer able to meet the needs for operations business of substation. On this basis, an automatic identification method of multi-source information fusion technology for high-voltage switch is proposed in this paper, which uses the fusion technology of remote identification of monitoring systems, infrared identification of patrol robots and video monitoring linkage identification to quantify the identification results of high-voltage switch, The matching technology of quantitative indicators is adopted to realize the linkage identification of the action status of high-voltage switch by the three methods, so as to enhance the accuracy of the identification results of the action status of high-voltage switch. The results show that the automatic recognition method based on multi-source information fusion can effectively and accurately identify the action status of high-voltage switch in substation, this method can provide effective assistance for the safe and stable operation of substation.",
keywords = "High-Voltage Switch, Monitoring System, Multi-Source Information Fusion, Patrol Robot",
author = "Yulong Pei and Luhai Yuan and Lei Wang and Chuanyu Zhang",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 3rd International Joint Conference on Energy, Electrical and Power Engineering, CoEEPE 2023 ; Conference date: 22-11-2023 Through 24-11-2023",
year = "2024",
doi = "10.1007/978-981-97-3940-0\_5",
language = "英语",
isbn = "9789819739394",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "53--60",
editor = "Cungang Hu and Wenping Cao",
booktitle = "Conference Proceedings of the 2023 3rd International Joint Conference on Energy, Electrical and Power Engineering",
address = "德国",
}