Schedule control of substation engineering based on artificial intelligence

Zhangzhe Li; Kai Fan; Jinzheng Liang; Yongzhi Zhang; Zhaohu Zhang

doi:10.1117/12.2667411

28 March 2023 Schedule control of substation engineering based on artificial intelligence

Zhangzhe Li, Kai Fan, Jinzheng Liang, Yongzhi Zhang, Zhaohu Zhang

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125663J (2023) https://doi.org/10.1117/12.2667411
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

The accurate control of the project timetable is beneficial in ensuring the power grid's high-quality development. Substation engineering schedule control is currently based primarily on handwritten reports, which do not represent actual field progress. Recognition techniques based on YOLOv3 and ResNet50 are proposed to improve schedule management. The intelligent identification of substation project progress was performed by identifying seven common elements on the project site. The algorithm's accuracy and recall are both above 80%.

Citation Download Citation

Zhangzhe Li, Kai Fan, Jinzheng Liang, Yongzhi Zhang, and Zhaohu Zhang "Schedule control of substation engineering based on artificial intelligence", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125663J (28 March 2023); https://doi.org/10.1117/12.2667411

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