Research On Detection Technology For Cracks Of Coal Conveyor Belt

In many scale coal plant, Rubber belt conveyor is widely used as coal handing equipment. The conveyor belt is the most important coal carrier, once the belt is torn that will not only bring significant safety risks, but also bring huge economic losses to the production units. Therefore, early prevention of tear tape and detection of small cracks appearing on the conveyor belt have important theoretical and practical engineering significance.This thesis analyzes the practical applicative environment of coal conveyor. According to diffuse reflection principle in physics, it is constructed the overall structure of the transmission belt crack detection. According to the project need to select an appropriate CCD camera, and it is image of a calibration.There are low image contrast, noise and other issues in the conveyor cracked image. The first, please do image enhancement to the collected cracked image. On this basis, it is putting forward a kind of genetic algorithm based on improved MKGA Otsu image segmentation algorithm, comparing with being based on GA Otsu image segmentation algorithm. Not only shorten the operation time of the algorithm, and it is good crack segmented from the background.Mathematical morphology and structure the diamond structure elements, the method effectively eliminate the outliers, and cause crack disconnected areas connected up. Crack the image itself may be a case of overlapping, horizontal and vertical structural elements constructed, well divided into horizontal and vertical overlap crack facilitate the calculation of the geometric parameters of the feature extraction time.The crack feature extraction and recognition is with skeleton extraction method for thinning crack image first, and then calculate the length and width of crack, using the method of per-pixel extract the area and perimeter of crack, it is accorded to the rule of circular degree determine whether to crack.