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ew 23(1):

Research Article

Optimization and application of artificial intelligence in robotic automated distribution network overhead line engineering

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  • @ARTICLE{10.4108/ew.3718,
        author={Xue Li and Meng Li and Yi Tan and Yunhui Wang},
        title={Optimization and application of artificial intelligence in robotic automated distribution network overhead line engineering},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={10},
        number={1},
        publisher={EAI},
        journal_a={EW},
        year={2023},
        month={6},
        keywords={Artificial intelligence, robotics, automated distribution network, overhead line engineering optimization and application},
        doi={10.4108/ew.3718}
    }
    
  • Xue Li
    Meng Li
    Yi Tan
    Yunhui Wang
    Year: 2023
    Optimization and application of artificial intelligence in robotic automated distribution network overhead line engineering
    EW
    EAI
    DOI: 10.4108/ew.3718
Xue Li1,*, Meng Li1, Yi Tan1, Yunhui Wang1
  • 1: Yunnan Power Grid Co
*Contact email: dufnbx2679@163.com

Abstract

INTRODUCTION: Artificial intelligence is a product of high-end technological development since the 21st century, which has subverted people's traditional cognition in many aspects and greatly enriched and improved people's lives. Artificial intelligence has covered every aspect of life, and the distribution network overhead line project is also one of them. The combination of the two symbolizes the combination of modern technology and infrastructure construction, which is of great significance for modern economic and social development and transformation and upgrading. OBJECTIVES: In order to solve the practical problems in the design of artificial intelligence and distribution network overhead line engineering, this paper focuses on the practical use of such artificial intelligence as robots in distribution network overhead line engineering. METHODS: The models of spatial perception, target recognition and automatic calculation are established, and some key technical problems of robots put into actual engineering are simulated and calculated. RESULTS: In the spatial perception model, the combination of robotic arm and laser device is utilized to solve the problem of direct sunlight, which affects the localization. In the target recognition model, combining the algorithms of minimum spanning tree and maximum critical path, the computational accuracy is improved to 1 mm. in the automatic computation model, the introduction of auxiliary lines and the secondary confirmation of manpower make the error of the work further reduced. CONCLUSION: This paper's simulation algorithm for the reality of the distribution network overhead line project provides a more detailed solution to improve the technical content of the distribution network overhead line project and the quality of construction management is not a simple task, the need for the relevant distribution network overhead line project enterprises as well as the corresponding distribution network overhead line project personnel to take targeted measures.

Keywords
Artificial intelligence, robotics, automated distribution network, overhead line engineering optimization and application
Received
2022-10-12
Accepted
2023-06-13
Published
2023-06-22
Publisher
EAI
http://dx.doi.org/10.4108/ew.3718

Copyright © 2023 Li et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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