Bulletin of Surveying and Mapping ›› 2026, Vol. 0 ›› Issue (2): 174-179,186.doi: 10.13474/j.cnki.11-2246.2026.0228

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Research on multi-dimensional intelligent site selection and route planning application based on AI+GIS

DAI Zhimin1, WANG Haiyan1, ZHANG Xing1, TANG Hao1, TANG Ming1, ZHONG Yong2, WU Baoyou2   

  1. 1. Digital Intelligence Operation Center, Yunnan Power Grid Co., Ltd., Kunming 650000, China;
    2. South Digital Technology Co., Ltd., Guangzhou 510665, China
  • Received:2025-11-03 Published:2026-03-12

Abstract: To address issues such as the reliance on manual experience,low data integration efficiency,and lagging multi-dimensional evaluation in traditional power grid site selection and route planning,this paper proposes and studies a multi-dimensional intelligent site selection and route planning application system based on AI+GIS.With GIS technology as the spatial data support carrier,the system integrates a remote sensing interpretation module to realize the automatic extraction and high-precision analysis of geographical information such as terrain,vegetation,and buildings.It also integrates artificial intelligence algorithms to construct an evaluation model covering dimensions including environmental impact,project cost,and power grid security,enabling intelligent calculation and optimized ranking of site selection and route planning schemes.Verified through application in actual power grid projects,the platform can replace over 70% of repetitive work in traditional manual surveys,shorten the site selection and route planning cycle by 40%,and increase both the scheme compliance rate and the accuracy of economic evaluation to over 90%.The research shows that the in-depth integration of AI and GIS can effectively break through the limitations of traditional methods,provide scientific and efficient technical support for power grid planning,site selection,and route planning,and is of great significance for promoting the intelligent transformation of power grid planning.

Key words: artificial intelligence, remote sensing interpretation, intelligent site selection, intelligent route selection, power grid planning

CLC Number: