Progress intelligent recognition method of transmission line project based on YOLOv3 algorithm

Li Zhou; Daobo Yan; Songquan Huang; Fangchao Ke; Jun Li; Ran Chen; Zhangzhe Li

doi:10.1117/12.2627892

11 March 2022 Progress intelligent recognition method of transmission line project based on YOLOv3 algorithm

Li Zhou, Daobo Yan, Songquan Huang, Fangchao Ke, Jun Li, Ran Chen, Zhangzhe Li

Proceedings Volume 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021); 121601M (2022) https://doi.org/10.1117/12.2627892
Event: International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 2021, Sanya, China

Abstract

The economic benefit of engineering is closely related to the schedule of the project. Nowadays, the progress of transmission line project still mainly depends on manual report and cannot reflect the real progress of the field. To strengthen schedule management, the progress recognition algorithm for the transmission line project based on YOLOv3 is designed, and the intelligent recognition rules of the transmission line project progress are established. By identifying concrete protection cap, tower head and insulator string, the progress intelligent recognition of transmission line project is realized. The precision rate of the algorithm is 100% and the recall rate is over 90%.

Citation Download Citation

Li Zhou, Daobo Yan, Songquan Huang, Fangchao Ke, Jun Li, Ran Chen, and Zhangzhe Li "Progress intelligent recognition method of transmission line project based on YOLOv3 algorithm", Proc. SPIE 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 121601M (11 March 2022); https://doi.org/10.1117/12.2627892

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