Research on Improvement of Substation Monitoring Capability Based on AI Algorithm

Author:

Zheng Runlan,Niu Ben,She Chuyun,Gao Demin

Abstract

Abstract The limitations of video surveillance in traditional substations have a serious impact on the intelligent monitoring of substations. In order to improve the level of monitoring intelligence, this paper conducts research on the improvement of substation monitoring capabilities based on AI algorithms. First, it analyzes the low pixels of video surveillance and the problems existing in the monitoring system, and then provides hardware support through ARM-based CPU and deep learning algorithms. Improve the recognition ability of pictures, and then solve the problem of low pixels and reduce the pressure of data processing. Finally, the effectiveness of the method in this paper is verified by the actual operation field test.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference9 articles.

1. Research on On-line Monitoring Technology of Secondary Equipment in Smart Substation;Shen,2021

2. Research and Application of Visual Monitoring Technology of Protective Equipment Based on Virtual Model;Tao,2021

3. Integrated Metric Learning Based Multiple Object Tracking Method under Occlusion in Substations;Zhang,2020

4. Research on video enhancement concentration and intelligent monitoring technology in Substation;Zhu,2020

5. Research on intelligent substation monitoring by image recognition method;Tang,2020

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on stitching technology based on enhanced images of substations;Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023);2023-11-14

2. State assessment of 110–220 kV intelligent substation based on multisensor fusion algorithm control and image vision;Frontiers in Energy Research;2023-01-09

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