基于红外图像处理的电力二次设备状态评估

Assessment on Power Secondary Equipment Status Based on Infrared Image Processing

为解决目前电力二次设备监测方法中存在的时延性和可实施性,基于红外图像处理技术设计了二次设备状态评估模型。首先应用图像降噪和分割技术,将待监测二次设备从背景中分割出来,再利用基于Roberts算子的边缘检测技术,提取出图像中的各个温度分区,将温度分区通过数字信号处理得到温度拟合值,最后通过量化的指标实现二次设备状态评估。验证实例说明该评估模型的有效性。

In order to solve the time delay and implementability existing in the current monitoring methods of power secondary equipment,this paper is based on infrared image processing technology to design a secondary equipment status evaluation model.Firstly,the secondary equipment to be monitored is segmented from the background by using image denoising and segmentation techniques.Then the edge detection technology based on Roberts operator is used to extract each temperature partition in the image,and the temperature fitting value is obtained by digital signal processing.Finally,through the quantitative indicators,the secondary equipment status evaluation is realized.A validation example demonstrates the effectiveness of the evaluation model.