基于多策略分割融合与形态特征辨识的变电站保护压板状态识别

目前变电站保护压板巡检仍主要采用人工进行,耗时费力且容易出错,制约着变电站二次设备智能化的发展.为此,提出一种基于多策略分割融合与形态特征辨识的变电站保护压板状态识别方法.通过移动端设备采集屏柜压板图像后,首先对压板区域进行透视变换,消除拍摄角度产生的畸变影响.然后采用多策略分割融合方法获取有效压板区域,即在HSV空间...

Protection platen status recognition for a smart substation based on multi-strategy segmentation and fusion and morphological feature identification

The inspection of protection platens in substations at present still relies on manual operation, which is time-consuming and error-prone. It also restricts the development of more intelligent secondary equipment in substations. Given this, a novel status recognition method for a substation protection platen based on multi-strategy segmentation and fusion and morphological feature identification is proposed. With a cabinet image collected by the mobile terminal, the platen region is first dealt with perspective transformation to eliminate the distortion caused by the image acquisition angle. Then, a multi-strategy segmentation and fusion method is proposed to extract the valid platen region, within which multi-threshold segmentation is applied in the HSV space while K-means clustering is adopted for segmentation in Lab space. Thus, the valid platen region is obtained by fusing the two kinds of segmentation results. Subsequently, morphological features of the valid platens including direction angle and aspect ratio are calculated, based on which the state corresponding to different features is distinguished. Then the two state results are merged into the final operating state of platens. Results in application for different cases for cabinet images with complex background show that the proposed method achieves good accuracy and applicability. This work is supported by the National Natural Science Foundation of China (No. 51741907).