Dynamic monitoring method for material status on vibrating screen surface via TOF camera
Abnormal material load on the vibrating screen is a common issue in industrial production,impacting not only production efficiency but also posing potential safety hazards.Therefore,real-time and accurate monitoring of the material status on the screen is of great significance.However,traditional monitoring methods mainly rely on manual on-site inspections,which are labor-intensive,slow,pose high safety risks,and are not effective in detecting subtle equipment faults.These methods fail to meet the demands for monitoring the material status on the screen.We proposed a dynamic monitoring method for the material status on a vibrating screen based on Time-of-Flight(TOF)cameras.The approach introduces a point cloud data completion method that combines KD-tree(K-dimension tree)with frame differencing.Additionally,it employs a dynamic monitoring method for the material status on the screen based on surface reconstruction.This point cloud data completion method effectively rectifies issues of missing data during TOF camera capture caused by surface moisture and gaps between materials.Through the analysis of the completed material on the screen using point cloud surface reconstruction,it identifies four states of the material on the screen:underloaded,overloaded,left-skewed load,and right-skewed load,providing real-time monitoring of the material status on the screen.Information of the material status on the screen is directly obtained using TOF cameras,enabling real-time monitoring and reducing the need for manual intervention.The proposed solution offers a reliable approach to real-time monitoring of the material status on the screen.
vibrating screenTOF camera3D point cloudcomputer visionvibrating screen surface monitoring
万方数据
维普
