图像识别技术及其在架空线检查机器人中的运用  

Image Recognition Technology and its Application of in Overhead Line Inspection Robot

作　　者：李响 陆锋 陈钰婷 蒋淼 金圣哲 Li Xiang;Lu Feng;Chen Yuting;Jiang Miao;Jin Shengzhe(School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 210008,China)

机构地区：[1]南京工程学院电力工程学院,南京210008

出　　处：《黑龙江科学》2024年第4期144-147,151,共5页Heilongjiang Science

基　　金：南京工程学院电力工程学院基金(TB202304034)。

摘　　要：传统的高压输电线路检查方式主要为人工检查,由工人爬上电线杆用手摸的方式检查钢芯铝绞线的损伤情况。分析了智能化图像识别技术、图像处理及图像识别技术,对未来巡线机器人技术的使用提出建议,实现线路损伤的高效、精确检测,促进人工智能化探伤技术的应用。Traditional inspection method of high-voltage transmission lines is mainly manual inspection.Workers climb up the pole to check the damage of steel core aluminum strand by hand.The study introduces and analyzes the intelligent image recognition technology,image processing and image recognition technology,and puts forward suggestions for the future application of line patrol robot technology,so as to realize the efficient and accurate inspection of line flaw,and promote the application of artificial intelligent flaw detection technology.

关 键 词：钢芯铝绞线 线路探伤 图像识别 图像处理 

分 类 号：TM75[电气工程—电力系统及自动化] TP391.41[自动化与计算机技术—计算机应用技术]