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.
关键词
废旧物资整理/孪生数据/三维可视化监控/故障预警/边缘计算
Key words
waste material sorting/twin data/3D visual monitoring/fault warning/edge calculation
维普
万方数据