Design and application of stacker running state monitoring system based on AI technology
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.
万方数据
维普
