Crane is an essential hoisting tool in production,and most cranes are operated manually at present.With the increasing demand of automation and the improvement of working environment,it is necessary to realize the automatic hoisting of crane.In the process of automatic lifting,the anti-swing control of the spout is an important technology to realize the automatic lifting operation,but in order to realize the anti-swing control of the spout,the recognition of the position and status of the spout relative to the crane is the primary key technology to realize the anti-swing control of the spout.According to the current manual operation of crane mechanism and operation characteristics,the laboratory three-coordinate platform was used to construct an experimental platform for precise three-coordinate direction displacement control,antiswing control of crane spindles and motion identification.A camera was set up above the experimental bench to identify the position and motion state of the spreader.Matlab is used to process the spreader image collected by the camera,and the method of installing led on the spreader is used to increase the recognition degree of the target point in the spreader image.By comparing the image edge detection method,traditional threshold segmentation method,Ostu automatic threshold segmentation method and RGB color segmentation method on the image processing effect of the spreader with or without led,it is concluded that the RGB color segmentation method can identify the sling motion,through the algorithm optimization of RGB color segmentation method,the optimized spreader image has a better recognition effect.In the experiment,the optimized RGB color segmentation method is used to process the motion sequence image of the added LED spenders,and the actual motion trajectory of the spenders is solved.The maximum difference between the calculated and measured accelerations at each point is 3.07%.The camera spout motion identification technology is accurate,which has theoretical guiding significance for the further realization of automatic anti-pendulum control technology and automatic lifting operation.Figure 68;Table 8;Reference 49... |