基于3D末端路径自学习导航的电力巡检系统

doi:10.11930/j.issn.1004-9649.201610150

中国电力 ›› 2018, Vol. 51 ›› Issue (1): 102-109.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

庄园¹, 李从林², 李平², 肖嵩¹

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

收稿日期:2016-10-21 修回日期:2017-06-16 出版日期:2018-01-05 发布日期:2018-02-28
作者简介:庄园(1993—),女,河南郑州人,硕士研究生,从事压缩感知、网络编码、电力通信及其在电力系统中的应用等研究,E-mail:zhuang-y@qq.com。
基金资助:
国家自然科学基金资助项目 (61372069)；高等学校学科创新引智计划 (111 计划)资助项目 (B08038)。

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

ZHUANG Yuan¹, LI Conglin², LI Ping², XIAO Song¹

1. State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an 710071, China;
2. State Grid Shangluo Power Supply Company, Shangluo 726000, China

Received:2016-10-21 Revised:2017-06-16 Online:2018-01-05 Published:2018-02-28
Supported by:
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).

摘要/Abstract

摘要： 通过对现有电力设备巡检系统进行分析并结合实际巡检工作中存在的问题，构建三维路径模型并设计末端路径自学习导航算法。提出了一种电力设备智能巡检系统，并设计系统配套的移动巡检终端嵌入式软件和服务器端配套软件。基于多种地形、地貌对自学习导航算法进行仿真，证明算法具有较高的自学习精度及良好性能，可实现对不同地理环境下末端路径的自学习、记录与导航，同时对系统进行实验，验证其可行性、有效性和合理性。

关键词: 输电线路, 智能巡检, 3D路径模型, 末端路径自学习

Abstract: Combined with current situation of power system inspection system and existing problems in practical work, a three-dimensional 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.

Key words: power transmission line, intelligent inspection, three-dimensional path model, terminal path's self-learning

中图分类号:

TM755
TP319

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.

ZHUANG Yuan, LI Conglin, LI Ping, XIAO Song. Power Inspection System Based on 3D Terminal Path Self-learning Navigation[J]. Electric Power, 2018, 51(1): 102-109.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201610150

https://www.electricpower.com.cn/CN/Y2018/V51/I1/102

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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

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