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<p>Transmission lines often need to cross various complex geographical environments, such as mountainous areas, rivers, forests, etc., where the terrain and landforms are complex and varied. In order to address the challenges faced by transmission line path planning and solve the problems of traditional planning methods relying on manual experience, outdated maps, and existing research methods such as the&#xa0;inability to completely avoid obstacles, high planning costs, and susceptibility to dimensional disasters, a digital transmission line automatic path planning method based on ground obstacle remote sensing spatial model and ant colony algorithm is proposed. Using unmanned aerial vehicles equipped with remote sensing sensors to collect ground data, extracting key features through preprocessing, constructing a ground obstacle spatial model, and estimating construction costs. On this basis, combined with an&#xa0;optimized ant colony algorithm, automatic planning of transmission line paths based on cost–benefit analysis was achieved, and a detailed planning cost map was drawn. Experiments have shown that this method can effectively avoid impassable areas in transmission lines, remove unnecessary corners in feasible areas, and plan construction with low difficulty and cost. The planning accuracy is higher than 98%, and the performance is good.</p>

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An Automatic Route Planning Method for Digital Transmission Lines Based on Remote Sensing Spatial Model of Ground Obstacles and Ant Colony Algorithm

  • 期刊论文

  • 发表日期：

    2025年4月2日

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  • Guoping Wan,
  • Xiping Han,
  • Xing Zhao,
  • Meng Liu

摘要

Transmission lines often need to cross various complex geographical environments, such as mountainous areas, rivers, forests, etc., where the terrain and landforms are complex and varied. In order to address the challenges faced by transmission line path planning and solve the problems of traditional planning methods relying on manual experience, outdated maps, and existing research methods such as the inability to completely avoid obstacles, high planning costs, and susceptibility to dimensional disasters, a digital transmission line automatic path planning method based on ground obstacle remote sensing spatial model and ant colony algorithm is proposed. Using unmanned aerial vehicles equipped with remote sensing sensors to collect ground data, extracting key features through preprocessing, constructing a ground obstacle spatial model, and estimating construction costs. On this basis, combined with an optimized ant colony algorithm, automatic planning of transmission line paths based on cost–benefit analysis was achieved, and a detailed planning cost map was drawn. Experiments have shown that this method can effectively avoid impassable areas in transmission lines, remove unnecessary corners in feasible areas, and plan construction with low difficulty and cost. The planning accuracy is higher than 98%, and the performance is good.