In this paper,the monitoring system and monitoring strategy of stacker running state are studied.Through deep processing of basic data of stacker equipment in logistics system,such as real-time collection,intelligent storage,diagnosis and analysis,data mining,etc.,AI technology,big data analysis,speech recognition technology and industrial control are combined to research and develop a stacker running state monitoring system.After running,it is confirmed that the system can effectively identify and reflect the health status of logistics stacker,and the accuracy of human-computer interaction reaches 95%,which greatly guarantees the working quality of logistics stacker and reduces the accident rate.
维普
万方数据