基于图像融合的保护压板运行状态辨识方法研究

随着信息技术和智能化技术在电力系统的应用拓展,采用智能巡检机器人对变电站一、二次设备运行状态进行巡视逐步成为智能运检的趋势.提出了一种基于图像融合的保护压板运行状态辨识方法.基于OTSU阈值分割优化方法快速检测图像中的高光干扰;引入改进RANSAC算法完成多视角的图像特征匹配和求取最佳透视变换矩阵,利用辅助图像透视变换至主图像修复其中的高光区域;在图像修复的基础上通过对压板边缘检测的倾角来判断其运行状态.实验结果表明,所提抗干扰方法有助于更好地识别图像中压板的运行状态,辨识准确率可达93％.

Research on operation state identification method of protection platen based on image fusion

With the development of information technology and intelligent technology in power system, using intelligent inspection robot to inspect the operation state of primary and secondary equipment in substation has gradually become the trend of intelligent operation inspection. In this paper, an image fusion-based method is proposed to identify the operation state of the protection platen. Firstly, the high light interference in the image is detected quickly based on OTSU threshold segmentation optimization method; then, the improved RANSAC algorithm is introduced to complete the multi-view image feature matching and find the best perspective transformation matrix, using the auxiliary image perspective transformation to the main image to repair the high-light region; finally, on the basis of image repair, the operation state is judged by the dip angle of the edge detection of the platen. The experimental results show that the proposed method can better identify the operation state of the platen in the image and enhance its anti-interference ability.