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基于云平台三维数字化输电线路路径规划方法 被引量:12

Path planning method of 3D digital transmission line based on cloud platform
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摘要 三维数字化设计是近年来输电线路设计研究中的热点方向,为解决三维数字化输电线路路径规划中的海量数据挖掘问题,研究了一种基于云平台的输电线路三维数字化设计路径规划方法。首先使用云平台和三维GIS技术,建立了复杂地理信息的数字化成本评估模型,并将其成本评估模型等效为加权栅格矩阵,再使用数据挖掘中的Q-learning方法进行最优路径规划。实验结果表明,所研究的方法可以对输电线路设计中的海量数据进行深度挖掘,其结果可使设计人员的设计效率提高65%,同时设计成本降低5%。 3D digital design is a popular research issue in the design of transmission lines in recent years.In order to solve the problem of massive data mining in the path planning of 3D digital transmission line,a path planning method of 3D digital transmission line design based on cloud platform was studied,this paper studies a path planning method of 3D digital design transmission line based on cloud platform.Firstly,the cloud platform and three-dimensional GIS technology are used to carry out the digital modeling of complex geographic information,and then,the digital model is equivalent to a weighted raster matrix.Finally,the Q-learning method in data mining is introduced for optimal path planning.The experimental results show that the method proposed in this paper can increase the design efficiency by 65%and reduce the design cost by 5%through the deep mining of 3D data.
作者 谢景海 姜宇 卢诗华 苏东禹 孙密 郭嘉 Xie Jinghai;Jiang Yu;Lu Shihua;Su Dongyu;Sun Mi;Guo Jia(State Grid Jibei Economic Research Institute,Beijing 100038,China;Beijing Jingyan Electric Power Engineering Design Co.,Ltd.,Beijing 100038,China)
出处 《电测与仪表》 北大核心 2021年第6期61-67,共7页 Electrical Measurement & Instrumentation
基金 国网河北省科技项目(B3018F20000W)。
关键词 三维数字化 输电线路 路径规划 Q-LEARNING 3D digital design transmission line path planning Q-learning
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