Image Processing Technology For Substation Infrared Compensation Blind Patrol Inspection Systems

Handheld infrared camera can capture the heat abnormalities of electrical equipment and detect the thermal defects of electrical equipment,which can improve the safety and stability of substation operation.However,due to the high location and large size of electrical equipment in the substation,there are obstructions between the equipment.When a handheld infrared thermal imager is used to inspect the electrical equipment,there are many visual blind spots.It is impossible to observe and obtain the appearance status of high-altitude electrical equipment at close range;and it is difficult to find abnormalities at the top of the electrical equipment.Aiming at the limitations of handheld infrared camera inspection,this paper studies a substation infrared inspection system that can be flexibly inspected.Firstly,to solve that the traditional handheld infrared camera can not be portable lift,there are more visual blindness and other problems,the portable lift substation infrared blind inspection system is proposed.The system is designed with a lightweight miniature infrared thermal imaging camera,which can be installed on the top of an insulated lifting pole to inspect electrical equipment at close range.The Django framework is then used to develop blind-filling software with infrared image stitching and infrared and visible image fusion functions,which can observe the video images collected by the micro infrared thermal imaging camera in real time to meet the needs of flexible inspections.Then,in order to solve the problems of the small field of view and low resolution of the miniature infrared thermal imaging camera,the collected infrared images cannot reflect the overall state of the power equipment,etc;and this paper proposes a method to improve the best seam-line for substation infrared image stitching.This method introduces local weight coefficients in the overlapping area of the two images,and performs morphological operations on the intensity of the image color difference to reduce the noise interference of the infrared image,thereby improving the texture information of the energy function graph,and improving the seam search in combination with dynamic programming The criterion is to search the best seam-line in the overlapped area of the image.The experimental results show that the images stitched by this method donot appear ghosting and misalignment,and the image stitching effect is better.Secondly,in order to solve the problem of blurred edges in a single infrared image collected by the inspection system and difficulty in highlighting the details of the image,an improved multi-scale transformation method for substation infrared and visible image fusion is proposed.This method uses the fusion weight value and the fusion rule that takes the largest absolute value to fuse the image information of the low-frequency component and the high-frequency component respectively,and reconstruct the fused image.The experimental results show that the fusion image obtained by the proposed method has better clarity and can highlight the temperature information of the image,which is convenient for evaluating the operating status of electrical equipment.Finally,the built-up substation infrared compensation blind inspection system was applied and tested.The feasibility of the hardware equipment,the effectiveness of the infrared image splicing method,the infrared and visible image fusion method are verified;the functions of each operating interface of the blind correction software are tested.The designed system can be flexibly raised and lowered,which can overcome for the shortcomings of traditional handheld infrared thermal imaging cameras and greatly reduce the visual blind spots in the inspection.