测绘通报 ›› 2026, Vol. 0 ›› Issue (2): 174-179,186.doi: 10.13474/j.cnki.11-2246.2026.0228

• 测绘地理信息技术应用案例 • 上一篇    下一篇

基于AI+GIS的多维度智能选址选线应用研究

戴志敏1, 王海燕1, 张兴1, 汤浩1, 唐铭1, 钟勇2, 吴宝佑2   

  1. 1. 云南电网有限责任公司数智运营中心, 云南 昆明 650000;
    2. 广东南方数码科技股份有限公司, 广东 广州 510665
  • 收稿日期:2025-11-03 发布日期:2026-03-12
  • 作者简介:戴志敏(1992—),男,硕士,工程师,主要研究方向为大数据和人工智能。E-mail:393165774@qq.com

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

摘要: 为解决传统电网选址选线过度依赖人工经验、数据整合效率低、多维度评价滞后等问题,本文构建了基于AI+GIS 的多维度智能选址选线应用系统。以GIS为空间数据载体,集成遥感解译实现地形、植被、建筑等的自动化提取;融合人工智能算法,构建包含环境影响、工程成本、电网安全等维度的评价模型,对选址选线方案进行智能计算。通过实际项目应用验证,该系统可替代传统人工勘察中70%以上的重复性工作,将选址选线周期缩短40%,且方案合规率与经济性评价准确率均提升至90%以上。研究表明,AI与GIS的深度融合能有效突破传统方法的局限性,为电网规划选址选线提供科学、高效的技术支撑,对推动电网规划智能化转型具有重要意义。

关键词: 人工智能, 遥感解译, 智能选址, 智能选线, 电网规划

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

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