Electric Power ›› 2018, Vol. 51 ›› Issue (1): 102-109.DOI: 10.11930/j.issn.1004-9649.201610150

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

ZHUANG Yuan1, LI Conglin2, LI Ping2, XIAO Song1   

  1. 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).

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

CLC Number: