| Abstract:Due to the complexity of the working environment, substation equipment has become one of the devices with the highest fault frequency in the smart grid, which is prone to equipment grounding faults, fuse fuse faults, and aging of insulating materials. A research on the three-dimensional automatic inspection method of power grid substation equipment based on the fusion of contour lines and features is proposed. Collect the three-dimensional image of the power grid substation equipment, obtain the initial contour points of the three-dimensional image of the power grid substation equipment, filter the contour points of the substation equipment, connect the extracted key contour points in sequence, obtain the contour line of the three-dimensional image of the substation equipment, and combine the morphological filtering algorithm, perform opening and closing operations on the image, segment the target image and the background image according to the closure of the contour line, extract the target image features of the substation equipment including the HOG feature and the LBP feature, and construct the optimal classification hyperplane after feature fusion. Formulate three-dimensional automatic inspection rules for power grid substation equipment, determine the operation and maintenance of substation equipment, and finally realize three-dimensional automatic inspection of substation equipment. The experimental data show that the method can identify the normal and abnormal states of the substation equipment, and under the background of different experimental conditions, the operation inspection accuracy of the substation equipment obtained by the proposed method reaches 96%. The identification and inspection accuracy of automatic inspection of substation equipment are improved, and the inspection requirements of current substation equipment are met. |
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