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基于3D末端路径自学习导航的电力巡检系统

庄园 李从林 李平 肖嵩

中国电力2018,Vol.51Issue(1):102-109,8.
中国电力2018,Vol.51Issue(1):102-109,8.DOI:10.11930/j.issn.1004-9649.201610150

基于3D末端路径自学习导航的电力巡检系统

Power Inspection System Based on 3D Terminal Path Self-learning Navigation

庄园 1李从林 2李平 2肖嵩1

作者信息

  • 1. 西安电子科技大学综合业务网理论及关键技术国家重点实验室,陕西西安 710071
  • 2. 国网商洛供电公司,陕西商洛 726000
  • 折叠

摘要

Abstract

Combined with current situation of power system inspection system and existing problems in practical work,a threedimensional path model is constructed and end-path self-learning navigation algorithm is designed.An intelligent power equipment inspection system is proposed.The embedded mobile patrol terminal and server-side supporting software are developed.Based on simulation results of multiple topography and landform samples,the high accuracy and good performance of proposed algorithm is proved.The proposed method can realize self-learning,recording and navigation of terminal path in different geographical environment.Finally,the system experiment is carried out to verify feasibility,validity and rationality of proposed algorithm.

关键词

输电线路/智能巡检/3D路径模型/末端路径自学习

Key words

power transmission line/intelligent inspection/three-dimensional path model/terminal path's self-learning

分类

信息技术与安全科学

引用本文复制引用

庄园,李从林,李平,肖嵩..基于3D末端路径自学习导航的电力巡检系统[J].中国电力,2018,51(1):102-109,8.

基金项目

国家自然科学基金资助项目(61372069) (61372069)

高等学校学科创新引智计划(111计划)资助项目(B08038).This work is supported by the National Natural Science Foundation of China (No.61372069) and the Program of Introducing of Discipline to Universities (No.B08038). (111计划)

中国电力

OA北大核心CSCDCSTPCD

1004-9649

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