中国电力 ›› 2020, Vol. 53 ›› Issue (4): 161-168.DOI: 10.11930/j.issn.1004-9649.201907167

• 信息与通信 • 上一篇    下一篇

基于云雾边异构协同的无人机智慧巡检系统

黄郑1, 王永强2, 王红星1, 高超2, 柏仓2   

  1. 1. 江苏方天电力技术有限公司,江苏 南京 211102;
    2. 国网江苏省电力有限公司,江苏 南京 210024
  • 收稿日期:2019-07-22 修回日期:2019-09-30 发布日期:2020-04-05
  • 作者简介:黄郑(1990-),男,通信作者,工程师,从事输电线路无人机智慧巡检技术研究,E-mail:hz10@vip.qq.com;王永强(1978-),男,高级工程师,从事输电线路无人机智慧巡检技术研究,E-mail:wyq_sj@js.sgcc.com.cn
  • 基金资助:
    国家电网有限公司科技项目(架空输电线路无人机编队自主智能巡检技术研究与应用,2019-4201-13-001179)

Design and Application of UAV Intelligent Inspection System for Transmission Lines Based on Cloud and Fog-edge Heterogeneous Collaborative Computing Architecture

HUANG Zheng1, WANG Yongqiang2, WANG Hongxing1, GAO Chao2, BAI Cang2   

  1. 1. Jiangsu Frontier Electric Technology Co., Ltd.,Nanjing 211102, China;
    2. State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210024, China
  • Received:2019-07-22 Revised:2019-09-30 Published:2020-04-05
  • Supported by:
    This work is supported by Science and Technology Project of SGCC (Research and Application of Aerial Transmission Line UAV Formation Autonomous Intelligent Inspection Technology, No.2019-4201-13-001179)

摘要: 针对现有输电线路无人机巡检系统数据处理平台计算能力较低、整合程度不高的问题,提出一种基于云雾边异构协同计算的新型无人机巡检系统。详细介绍系统架构、网络架构以及作业流程,同时将先进人工智能技术与无人机巡检具体功能有机融合,以航迹自主规划、多机多任务协同以及缺陷智能识别3种主要功能为例,给出基于人工智能技术的无人机巡检整体解决方案,全面提高无人机智能化水平与自主运行能力,提升输电线路巡检效率与质量,降低运维成本。

关键词: 云雾边异构协同, 无人机, 智能巡检, 航迹规划, 缺陷智能识别

Abstract: To solve the problems of the low computing capacity and low integration degree of the data processing platform of the existing unmanned aerial vehicle (UAV) inspection systems for transmission lines, a new UAV inspection system is proposed based on cloud and fog-edge heterogeneous collaborative computing architecture, and a detail introduction is made to the system architecture, network architecture and operation process. Through integration of the advanced artificial intelligence technology and the specific functions of UAV patrol inspection, an overall UAV inspection solution scheme is given based on the artificial intelligence technology, with such three main functions as the independent path planning, multi-UAV multi-task synergy and intelligent recognition being displayed. The proposed system can comprehensively upgrade the intelligent level and independent running ability of UAVs, and improve the efficiency and quality, of power transmission line inspection and reduce the operational cost.

Key words: cloud and fog-edge heterogeneous collaborative computing, unmanned aerial vehicle, intelligent inspection, path planning, intelligent defect identification