The application of artificial intelligence in intelligent terminals on the edge of distribution station buildings

Denghui Zhai; Xu Zhang; Xiaofeng Jia; Haiyuan Du; Xiaofei Li

doi:10.1117/12.3037980

7 August 2024 The application of artificial intelligence in intelligent terminals on the edge of distribution station buildings

Denghui Zhai, Xu Zhang, Xiaofeng Jia, Haiyuan Du, Xiaofei Li

Author Affiliations +

Proceedings Volume 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024); 132292E (2024) https://doi.org/10.1117/12.3037980
Event: Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 2024, Nanchang, China

Abstract

With the continuous development of video surveillance in distribution station buildings, the pressure of safety risk prevention and control under the massive data on the edge has been increasing year by year. The traditional operation and maintenance methods that heavily rely on manual labor can no longer meet the requirements of lean management. The article proposes an artificial intelligence based intelligent terminal application scheme for the edge side of distribution rooms, which realizes on-site intelligent analysis of video images. Accurate identification of equipment status such as meter readings for daily inspection images; At the same time, in response to real-time video surveillance requirements, various security risks such as personnel intrusion can be detected in a timely manner. By analyzing actual inspection images, the safety risk detection rate of this method is over 98%, greatly improving the inspection efficiency of distribution station buildings and effectively reducing the workload of operation and maintenance personnel.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Denghui Zhai, Xu Zhang, Xiaofeng Jia, Haiyuan Du, and Xiaofei Li "The application of artificial intelligence in intelligent terminals on the edge of distribution station buildings", Proc. SPIE 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 132292E (7 August 2024); https://doi.org/10.1117/12.3037980

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KEYWORDS

Video

Buildings

Artificial intelligence

Evolutionary algorithms

Inspection

Data modeling

Video surveillance

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