Safe distance monitoring method of substation based on machine vision

Guo Xu; Pengpeng Zhang

doi:10.1117/12.2615314

15 October 2021 Safe distance monitoring method of substation based on machine vision

Guo Xu, Pengpeng Zhang

Proceedings Volume 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering; 119332O (2021) https://doi.org/10.1117/12.2615314
Event: 2021 International Conference on Neural Networks, Information and Communication Engineering, 2021, Qingdao, China

Abstract

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.

Citation Download Citation

Guo Xu and Pengpeng Zhang "Safe distance monitoring method of substation based on machine vision", Proc. SPIE 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering, 119332O (15 October 2021); https://doi.org/10.1117/12.2615314

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
5 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Inspection

Distance measurement

Inspection equipment

Machine vision

Video

Cameras

Received signal strength

Show All Keywords

Keywords/Phrases

Search In:

Publication Years