An intelligent operation and maintenance diagnosis method for power channel based on RCNN algorithm

Qian Xiaodong

doi:10.1117/12.2682831

16 June 2023 An intelligent operation and maintenance diagnosis method for power channel based on RCNN algorithm

Qian Xiaodong

Proceedings Volume 12703, Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023); 127031E (2023) https://doi.org/10.1117/12.2682831
Event: Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023), 2023, Hong Kong, China

Abstract

Electric power is one of the important pillars to safeguard the national economy. Accurate identification of power transmission channel faults is an important means to ensure the normal power supply. In recent years, due to the continuous expansion of the scale of transmission lines, the coverage of the terrain is increasingly complex, resulting in the traditional manual inspection method, has been unable to meet the power supply. Based on this, this paper proposes a power channel intelligent operation and maintenance diagnosis method based on RCNN algorithm. Focus on some objects that are not vertical or parallel and occupy a large proportion across the image. The first challenge was to accurately label such targets. Then the RCNN algorithm model is designed to identify the defects. The experiment shows that it improves the accuracy of recognition to a certain extent.

Citation Download Citation

Qian Xiaodong "An intelligent operation and maintenance diagnosis method for power channel based on RCNN algorithm", Proc. SPIE 12703, Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023), 127031E (16 June 2023); https://doi.org/10.1117/12.2682831

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