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基于无人机摄影电力线缆破损位置检测方法

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由于部分电力线缆所处环境较为恶劣,极易发生损坏且人工检测可操作性不强,导致位置检测结果与实际破损位置误差大,因此提出基于无人机摄影电力线缆破损位置检测方法.标定无人机采集图像坐标系,提取电力线缆破损有效位置信息.采用色彩空间分割技术,获取图像灰度值,对无人机摄影图像进行校正处理.使用差分计算梯度分量算法,对图像处理结果展开迭代计算,完成破损点定位分析实现电力线缆破损位置的检测.经实验证实,此方法位置检测结果与实际破损位置误差最小,有效提升了电力线缆破损位置检测精度.
Detection Method of Broken Position of Power Cable Based on UAV Photography
Because some power cables are in a bad environment,they are easy to be damaged and the operability of manual de-tection is insufficient,which leads to the problem of large error between the position detection results and the actual damaged position.Therefore,a detection method of damaged position of power cables based on UAV photography is proposed.We cali-brate the image coordinate system collected by UAV,and extract the effective position information of power cable damage.The color space segmentation technology is used to obtain the gray value of the image and correct the UAV photographic image.The gradient component algorithm of differential calculation is used to iteratively calculate the image processing results,com-plete the location analysis of the damaged point,and realize the detection of the damaged position of the power cable.Experi-ments show that the error between the position detection result and the actual damage position is the smallest comparing with the other methods,which effectively improves the detection accuracy of the damaged position of power cables.

UAV detectionpower cableUAV photographyimage processinggraphic positioningfeature fusion

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广东电网有限责任公司惠州供电局,广东,惠州 516003

无人机检测 电力线缆 无人机摄影 图像处理 图形定位 特征融合

广东电网有限责任公司科技项目

031300KK52180101

2024

微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
年,卷(期):2024.40(1)
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