Safe distance monitoring method of substation based on machine vision

被引:0
|
作者
Xu, Guo [1 ]
Zhang, Pengpeng [1 ]
机构
[1] Shanghai Dianji Univ, Sch Elect Informat, Shanghai 201306, Peoples R China
来源
2021 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, INFORMATION AND COMMUNICATION ENGINEERING | 2021年 / 11933卷
基金
中国国家自然科学基金;
关键词
Safe distance; Human posture detection; Distance function; Substation;
D O I
10.1117/12.2615314
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In the substation, inspectors will lead to electric shock and other safety accidents when they are too close to substation equipment. It is extremely important to monitor the safe distance between inspector and equipment. This paper designs a safe distance monitoring method based on machine vision. The method mainly applies monocular camera and machine vision technology on the safe distance detection. Firstly, the safe distance is set according to the power safety code. Then the distance function is decided by human body key points and measured distance. The human body key points are achieved using human pose detection model. Through the function fitting, distance function is set as an univariate high-order linear function. Finally, human ankle key point is chosen and inputted into the distance function to determine the distance between inspector and substation equipment. Compared with the safe distance, the system can judge the inspector is in the safe state or not. Experiments show that the method can fulfill the requirements of distance monitoring for inspectors in substation, and provide a solution for the development of intelligent substation.
引用
收藏
页数:5
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