Study on Manipulator for Measurement Waste Material Sorting Based on Digital Twin Technology
Aiming at the difficulties and low efficiency of sorting manipulators in measurement waste materials,this paper proposes a monitoring and fault warning method of the manipulators based on twin data.First the 3D visual monitoring and fault warning framework of the manipulator is constructed.Second physical data processing and model lightweight processing based on edge computing are designed to improve data processing capacity and obtain twin data.Then the equip-ment is monitored by physical perception data,and a fuzzy decision model based on twin data and a hybrid neural network of one-dimensional convolutional nerve and support vector machine are constructed for fault warning of sorting manipula-tor.Finally the proposed method is verified to be effective and light-weight,and feature visualization and real-time warn-ing.
waste material sortingtwin data3D visual monitoringfault warningedge calculation
万方数据
维普
