输电线路机巡红外数据处理及分析方法的研究

Research on Infrared Data Processing and Analysis Method of Transmission Line Inspection

以往的红外测温图像是以人工分析方式为主,耗费大量人力,不仅效率低,还会大大降低可靠性。近年来,无人机自动巡检拍摄普及,同样会生成海量照片。基于此,研究一种可自动整理、分类、分析、定级的工具迫在眉睫。本文设计了一款高效的机巡红外数据处理及分析方法,只需将机巡红外数据导入系统,即可实现自动化处理,大大提高了红外巡检数据的处理效率及输电线路缺陷管理能力。

In the past,infrared temperature measurement images were mainly analyzed manually,which consumed a lot of manpower and not only had low efficiency,but also greatly reduced reliability.In recent years,unmanned aerial vehicles(UAVs)have become increasingly popular for automatic inspection and shooting,and they also generate massive amounts of photos.Based on this,it is urgent to develop a tool that can automatically organize,classify,analyze,and rank.This article designs an efficient method for processing and analyzing machine inspection infrared data.Simply importing machine inspection infrared data into the system can achieve automated processing,greatly improving the processing efficiency of infrared inspection data and the ability to manage transmission line defec.