摘要
在输电走廊紧张地区,传统弧垂测量方法可能因环境复杂、测量视角受限等因素,导致测量结果与实际值偏差较大,拟合优度欠佳。为此,提出基于双目立体视觉的输电走廊紧张地区弧垂测量方法。运用双目立体视觉测量系统采集输电线路图像,利用该系统丰富的空间信息获取能力。结合图像视觉分布域构建图像成像重构检测函数,实现线路弧垂视景的重构,清晰呈现输电线路的空间形态。提取架空线路图像的特征点与辅助点,以此建立弧垂数学模型,通过模型确定线路特征分布权值并拟合悬链线。依据输电线路空间曲线方程,计算线路观测点云的权重,结合弧垂点的位置坐标,精确求取线路弧垂。实验结果表明,基于双目立体视觉的测量方法得到的弧垂测量值与实测值间的拟合优度更高,测量效果优于传统方法,能有效提高弧垂测量的准确性和可靠性,为输电走廊紧张地区的弧垂监测提供了有力支持。
In areas with tight transmission corridors,traditional sag measurement methods may have significant deviations from actual values and poor fitting due to complex environments and limited measurement perspectives.Therefore,this article proposes a method for measuring sag in tense areas of power transmission corridors based on binocular stereo vision.Using a binocular stereo vision measurement system to capture images of transmission lines and utilizing the system′s rich spatial information acquisition capability.An image imaging reconstruction detection function is constructed based on the visual distribution domain of the image,to achieve the reconstruction of the sag scene of the transmission line and clearly present the spatial form of the transmission line.Feature points and auxiliary points are extracted from overhead line images,to establish a mathematical model for sag,determine the distribution weights of line features through the model,and fit the catenary.Based on the spatial curve equation of the transmission line.It calculates the weight of the observation point cloud of the line,and combine the position coordinates of the sag points to accurately calculate the sag of the line.The experimental results show that the measurement method based on binocular stereo vision has a higher degree of fitting between the measured sag values and the actual measured values,and the measurement effect is better than traditional methods.It can effectively improve the accuracy and reliability of sag measurement,providing strong support for sag monitoring in areas with tight transmission corridors.
作者
谢春
XIE Chun(Intelligent Operation Center Guizhou Power Grid Co.,Ltd.,Guiyang 556000,Guizhou,China)
出处
《自动化技术与应用》
2026年第4期101-104,共4页
Techniques of Automation and Applications
基金
贵州省电网科技项目(GZDW-FW-0145-22-01)。
关键词
双目立体视觉技术
输电走廊
紧张地区
弧垂测量
弧垂模型
binocular stereo vision technology
transmission corridors
areas of tension
sag measurement
sag model
