Research on Systematic O&M of Distribution Network via UAV Intelligent Inspection

With the advancement of smart grid construction, the scale and complexity of distribution networks have increased dramatically. Ensuring their safety and stability is of paramount importance. However, traditional distribution network inspection technologies suffer from issues such as data isolation and poor real-time performance. UAV inspections also face bottlenecks, including insufficient adaptability to multiple scenarios and limited intelligence in defect recognition. To address these challenges, this paper constructs an intelligent UAV inspection system. The background of the system integrates functions such as permission management, route planning, and data processing to achieve efficient control. The front-end distribution network inspection APP supports route management and adaptive inspections. This system revolutionizes the operation and maintenance inspection mode, improves the efficiency of fault detection, and optimizes the management process. The system effectively resolves traditional problems, and it is of great significance for enhancing grid reliability and reducing operation and maintenance costs. It is expected to be further applied in the field of distribution network operation and maintenance in the future, thereby promoting the development of the industry.

Authors

Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/icesep66633.2025.11155372
Citations
1
Primary Topic
Power Line Inspection Robots
Type
article
Field-Weighted Citation Impact
0.71
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Research on Systematic O&M of Distribution Network via UAV Intelligent Inspection

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1 citations
Power Line Inspection Robots
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article

Research on Systematic O&M of Distribution Network via UAV Intelligent Inspection

Yue Liu, Zhili Zhao, Xiaoqi Zhan, Xiaoyan Yu, Tao Li, Jie Yan
article en
1 citations

Abstract

With the advancement of smart grid construction, the scale and complexity of distribution networks have increased dramatically. Ensuring their safety and stability is of paramount importance. However, traditional distribution network inspection technologies suffer from issues such as data isolation and poor real-time performance. UAV inspections also face bottlenecks, including insufficient adaptability to multiple scenarios and limited intelligence in defect recognition. To address these challenges, this paper constructs an intelligent UAV inspection system. The background of the system integrates functions such as permission management, route planning, and data processing to achieve efficient control. The front-end distribution network inspection APP supports route management and adaptive inspections. This system revolutionizes the operation and maintenance inspection mode, improves the efficiency of fault detection, and optimizes the management process. The system effectively resolves traditional problems, and it is of great significance for enhancing grid reliability and reducing operation and maintenance costs. It is expected to be further applied in the field of distribution network operation and maintenance in the future, thereby promoting the development of the industry.

Openalex Percentile: Top 27%
Power Line Inspection Robots
0.71
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