基于TOF相机的振动筛上物料状态动态监测方法

Dynamic monitoring method for material status on vibrating screen surface via TOF camera

振动筛筛上物料载荷异常不仅影响生产效率还可能导致安全隐患,实时准确地监测筛上物料状态具有重要意义。针对传统人工监测方法劳动强度大、速度慢、有极高安全隐患并且不容易发现设备微小故障等问题。基于TOF相机物料动态监测技术,提出了一种联合KD树与帧差法的点云数据补全方法和基于曲面重构的筛上物料动态监测方法。该点云数据补全方法有效修补了因筛上物料表面水分和物料缝隙导致的TOF相机拍摄过程中的点云数据缺失问题,通过对补全后的筛上物料进行点云曲面重构分析,判断欠载、过载、左偏载和右偏载四种筛上物料状态,实时监测筛上物料状态。研究通过TOF相机直接获取筛上物料状态信息,对筛上物料实时检测,减少了人工干预的需求且具备实时性。为筛上物料状态实时监测问题提供了一个可靠的解决方案。

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.