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基于地形自适应的货运索道路径自动规划方法
引用本文:秦剑,张飞凯,李其莹,刘晨.基于地形自适应的货运索道路径自动规划方法[J].西南交通大学学报,2022,57(6):1303-1310.
作者姓名:秦剑  张飞凯  李其莹  刘晨
作者单位:1.中国电力科学研究院有限公司,北京1000552.国网山东省电力公司,山东 济南 250001
摘    要:为降低货运索道路径规划工作的时间和经济成本,综合考虑地理信息、工程实际情况和索道架设与运营成本等多方面因素,提出了索道路径规划要求,形成自动化路径规划的技术流程. 针对索道架设要求,提出了基于聚类分簇思想的上、下料点自动筛选方法,实现索道对公路的避让;并根据三维地形数据提出了基于地形自适应的索道支架位置搜索方法,搜索的支架可保证索道承载索与地面的间距满足施工要求;通过支架位置优化,减少支架数量,实现索道成本的降低. 对实际工程的路径规划计算应用表明:该规划方法可在约半个小时的时间内自动获得的上千条索道路径及支架架设方案,规划速度快,数据分析全面. 

关 键 词:输电线路    货运索道    路径规划    地形自适应
收稿时间:2021-02-04

Automatic Path Planning Method Based on Terrain Adaptation for Freight Cableways
QIN Jian,ZHANG Feikai,LI Qiying,LIU Chen.Automatic Path Planning Method Based on Terrain Adaptation for Freight Cableways[J].Journal of Southwest Jiaotong University,2022,57(6):1303-1310.
Authors:QIN Jian  ZHANG Feikai  LI Qiying  LIU Chen
Institution:1.China Electric Power Research Institute, Beijing 100055, China2.State Grid Shandong Electric Power Company, Jinan 250001, China
Abstract:To reduce the time and economic costs of freight cableway path planning, according to factors such as geographical information, project requirements, and costs of cableway erection and operation, the requirements of cableway path planning are proposed, and the technical process of automatic path planning is developed. To meet the requirements of cableway erection, an automatic method for screening loading and unloading points based on clustering was presented to achieve the avoidance of cableway to highway, and by the use of three-dimensional terrain data, a search method for trestle positions based on terrain adaptation is proposed. The selected trestle positions can ensure that the distance between the bearing cable of the cableway and the ground meets the construction requirements, and in this way the number of trestles is optimized to reduce the cost of the cableway. The field applications of the proposed method demonstrate that it can provide thousands of cableway paths and trestle positions automatically in around half an hour, showing fast planning and comprehensive data analysis. 
Keywords:
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