液晶与显示2016，Vol.31Issue(12)：1149-1155,7.DOI:10.3788/YJYXS20163112.1149
基于无人机的输电网故障跳线联板识别
Recognition algorithm for fault jumper connection plate of transmission network based on UAV
摘要
Abstract
Jumper connecting plate is an important part of electricity supply network.Jumper connect-ing plate’s status has a significant impact on electricity supply network’s proper operation.However, all the existing algorithms identify the fault of electricity supply network with a unified approach,so we have no specific approach on various types of transmission equipment failure and it will result in low recognition rate of jumper connecting plate.In order to recognize the fault jumper connecting plate efficiently,we use improved OTSU method for infrared image segmentation and use flood fill method to separate each segmentation area.Secondly,we delete small areas and fill holes through dilation and hole filling algorithm,then get connected area’s skeleton by the skeleton extraction algorithm.Third-ly,we find Harris corner point in skeleton image,and calculate USFPF feature.Finally,through the slope value recognition we can discern jumper connecting plate’s fault.As a result,the successful rec-ognition rate for jumper connecting plate’s fault is 85.71%,the miss rate is 14.28%,and the mistake rate is 2.8%.Experimental results show that the method has good results.关键词
红外图像/跳线联板/四点特征/智能识别Key words
infrared image/jumper connection plate/morphology/intelligent recognition分类
信息技术与安全科学引用本文复制引用
江慎旺,许廷发,张增,吴新桥,黄博,周筑博..基于无人机的输电网故障跳线联板识别[J].液晶与显示,2016,31(12):1149-1155,7.基金项目
南方电网直升机重大专项资助项目(No．K-KY2014-500) Supported by major Helicopter Special Rroject of China Southern Power Grid(No．K-KY2014-500) （No．K-KY2014-500）
