Process and system for monitoring the progress of transmission line construction and troubleshooting unplanned operations based on satellite remote sensing

Transmission line construction progress monitoring is critical for grid security control. This study proposed a method of using satellite remote sensing and UAV technology for transmission line construction progress detection and unplanned operation troubleshooting in response to the challenge of controlling unplanned operation problems in transmission line construction operations. The study utilized satellite remote sensing technology to obtain high-resolution images of the transmission line construction operation site, and combined with intelligent recognition algorithms, it realized the automatic identification and status monitoring of typical phases such as foundation construction, tower formation construction and wire erection construction. By intelligently comparing with the progress of the operation plan, the method in this paper can realize the accurate investigation and early warning of unplanned operation, which improves the lean management level of construction safety. In addition, this study also designed the core functions of the transmission line progress management system, including data acquisition, processing, analysis, display and early warning, etc., which provided strong support for the monitoring of on-site operations of transmission and substation projects. This study not only solved the limitations of traditional control means in transmission line construction operations, but also provided an important guarantee for the safe and stable supply of electricity.

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Publication Details

Published
2024-10-09
DOI
https://doi.org/10.1117/12.3045303
Primary Topic
Remote Sensing and Land Use
Type
article
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article

Process and system for monitoring the progress of transmission line construction and troubleshooting unplanned operations based on satellite remote sensing

Zhi Yang, Junhui Li, Bin Liu, Wenchun Chang et al.
Remote Sensing and Land Use
article

Process and system for monitoring the progress of transmission line construction and troubleshooting unplanned operations based on satellite remote sensing

Zhi Yang, Junhui Li, Bin Liu, Wenchun Chang, Sihang Zhang, Zhijun Li, Ke Wang
article en

Abstract

Transmission line construction progress monitoring is critical for grid security control. This study proposed a method of using satellite remote sensing and UAV technology for transmission line construction progress detection and unplanned operation troubleshooting in response to the challenge of controlling unplanned operation problems in transmission line construction operations. The study utilized satellite remote sensing technology to obtain high-resolution images of the transmission line construction operation site, and combined with intelligent recognition algorithms, it realized the automatic identification and status monitoring of typical phases such as foundation construction, tower formation construction and wire erection construction. By intelligently comparing with the progress of the operation plan, the method in this paper can realize the accurate investigation and early warning of unplanned operation, which improves the lean management level of construction safety. In addition, this study also designed the core functions of the transmission line progress management system, including data acquisition, processing, analysis, display and early warning, etc., which provided strong support for the monitoring of on-site operations of transmission and substation projects. This study not only solved the limitations of traditional control means in transmission line construction operations, but also provided an important guarantee for the safe and stable supply of electricity.

North China Electric Power University (CN), China Electric Power Research Institute
Openalex Percentile: Top 80%
Remote Sensing and Land Use
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Process and system for monitoring the progress of transmission line construction and troubleshooting unplanned operations based on satellite remote sensing — Zhi Yang, Junhui Li, et al. · (2024) | TGRS Research Map | TGRS