基于AI技术的堆垛机运行状态监测系统设计与应用

Design and application of stacker running state monitoring system based on AI technology

文章对堆垛机运行状态监测系统和监测策略进行研究,通过对物流系统堆垛机设备的基础数据进行实时采集、智能存储、诊断分析、数据挖掘等深度加工,将AI技术、大数据分析、语音识别技术与工业控制相结合,研究开发了一套堆垛机运行状态监测系统。经运行确认该系统可以有效地识别反映出物流堆垛机的健康状况,人机交互准确率达95%,极大地保障了物流堆垛机的工作质量,降低了事故发生率。

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.