Research On Joint Twitch Detection Algorithm Of Steel Cord Conveyor Belts Based On X-ray Image

Steel cord conveyor belts are used in coal,mining,metallurgy,electric power,chemical industry and other fields widely.A long-distance steel cord conveyor belt is made up of a number of conveyor belts connected by a special vulcanization process.The joint of the steel cord conveyor belt is a part with a low tensile strength of the entire conveyor belt,which is prone to joint twitch fault.If the joint twitch is not detected in time,it will cause a serious breakage accident.Therefore,accurate and efficient detection of joint twitch can prevent accidents.In the thesis,the fault detection algorithm of joint twitch for steel cord conveyor belt is studied,including the following work:First,the in-depth theoretical research on image enhancement algorithm,image filtering processing algorithm and image segmentation algorithm is carried out.On the basis of theory,the X-ray images of the steel cord conveyor belt collected by the X-ray high-speed detector are preprocessed.Then,according to the characteristics of X-ray image of steel cord conveyor belt,a image selecting algorithm based on morphology for steel cord conveyor belt joint is designed.The joint region in each image is extracted and whether the area of joint region is 0 is used to determine whether each picture contains joint information by using morphology,thus enabling the selecting of the image of the steel cord conveyor belt containing the joint information.And based on the selecting of the joint image,the stitching algorithm of the steel cord conveyor belt image with joint information is designed.Experiments show that the selecting and stitching algorithm of joint image has high accuracy.At last,a joint twitch detection method of steel cord conveyor belts based on Blob analysis is designed under harsh working conditions.Firstly,the minimum external rectangle and joint gap information of the joint layered part in images of steel cord conveyor belts are extracted by using Blob analysis.And according to these information,respectively,the upper and lower fitting straight lines and the center of gravity of each joint gap region are obtained.Then based on the extracted information,the calculation algorithm of the joint twitch distance,the calculation algorithm of the overall elongation of the joint and the method of the joint twitch quality evaluation are designed.Finally,the algorithm is tested experimentally.The experiment proves that the algorithm can accurately detect the joint twitch fault and provide a guarantee forthe safe operation of the conveyor belt.