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

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, an...

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Main Authors: Xue Li, Meng Li, Yi Tan, Yunhui Wang
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2023-06-01
Series:EAI Endorsed Transactions on Energy Web
Subjects:
Online Access:https://publications.eai.eu/index.php/ew/article/view/3718
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author Xue Li
Meng Li
Yi Tan
Yunhui Wang
author_facet Xue Li
Meng Li
Yi Tan
Yunhui Wang
author_sort Xue Li
collection DOAJ
description 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.
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spelling doaj.art-43509034762146a39a0d6ecea3cc23752023-08-14T18:15:30ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Energy Web2032-944X2023-06-011010.4108/ew.3718Optimization and application of artificial intelligence in robotic automated distribution network overhead line engineeringXue Li0Meng Li1Yi Tan2Yunhui Wang 3Yunnan Power Grid CoYunnan Power Grid CoYunnan Power Grid CoYunnan Power Grid CoINTRODUCTION: 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. https://publications.eai.eu/index.php/ew/article/view/3718Artificial intelligenceroboticsautomated distribution networkoverhead line engineering optimization and application
spellingShingle Xue Li
Meng Li
Yi Tan
Yunhui Wang
Optimization and application of artificial intelligence in robotic automated distribution network overhead line engineering
EAI Endorsed Transactions on Energy Web
Artificial intelligence
robotics
automated distribution network
overhead line engineering optimization and application
title Optimization and application of artificial intelligence in robotic automated distribution network overhead line engineering
title_full Optimization and application of artificial intelligence in robotic automated distribution network overhead line engineering
title_fullStr Optimization and application of artificial intelligence in robotic automated distribution network overhead line engineering
title_full_unstemmed Optimization and application of artificial intelligence in robotic automated distribution network overhead line engineering
title_short Optimization and application of artificial intelligence in robotic automated distribution network overhead line engineering
title_sort optimization and application of artificial intelligence in robotic automated distribution network overhead line engineering
topic Artificial intelligence
robotics
automated distribution network
overhead line engineering optimization and application
url https://publications.eai.eu/index.php/ew/article/view/3718
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AT mengli optimizationandapplicationofartificialintelligenceinroboticautomateddistributionnetworkoverheadlineengineering
AT yitan optimizationandapplicationofartificialintelligenceinroboticautomateddistributionnetworkoverheadlineengineering
AT yunhuiwang optimizationandapplicationofartificialintelligenceinroboticautomateddistributionnetworkoverheadlineengineering