基于激光点云数据的带电作业故障距离识别技术研究

Research on fault distance identification technology of live working based on laser point cloud data

为了提高带电作业故障距离识别的准确性,提出一种基于激光点云数据的带电作业故障距离识别技术。该技术首先利用激光雷达取代传感器、热红外仪、紫外成像仪等,采集激光点云数据,然后对其进行处理,包括噪声点去除、平滑处理和均匀化抽稀等,最后进行带电作业故障距离识别,完成故障识别与故障定位。实验结果表明:与基于传感数据、红外数据和紫外数据的带电作业故障距离识别技术相比,基于激光点云数据的带电作业故障距离识别技术,具有更小的识别误差,最小误差均小于0.30 m,使故障检测更为精确。

In order to improve the accuracy of fault distance identification of live working,a fault distance identification technology based on laser point cloud data is proposed.This technology first uses lidar to replace sensors,thermal infrared instruments,UV imagers,etc.to collect the data of laser point cloud,and then processes it,including noise point removal,smoothing and homogenization and thinning.Finally,it carries out fault distance identification for live working,and completes fault identification and fault location.The experimental results show that compared with the fault distance recognition technology based on sensor data,infrared data and ultraviolet data,the fault distance recognition technology based on laser point cloud data has smaller recognition error,and the minimum error is less than 0.30 m,which makes the fault detection more accurate.