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为解决智慧制造车间工件异常情况的实时监测问题,以及追踪工件加工过程的轨迹,提出基于RFID与复杂事件处理的实时监测方法.基于信息物理融合系统理念构建智慧制造车间的感知环境和定义各类事件模型,采用基于SMURF的综合方法清洗RFID数据,应用复杂事件处理技术监听工件的异常情况,并形成工件实时状态矩阵.仿真实验证明,该系统可以实现预期功能,为智慧制造车间的主动调度提供依据.
In order to solve the problem of real-time monitoring of abnormal workpieces in smart manufacturing workshop, and to track the process of workpieces, a real-time monitoring method based on RFID and complex event processing is put forward.Based on the concept of information physics fusion system, the perception environment of intelligent manufacturing workshop and the definition of various types Event model, an integrated SMURF-based method was used to clean the RFID data, and the complex event processing technique was used to monitor the anomalies of the artifacts and form the real-time state matrix of the artifacts.The simulation results show that the system can achieve the expected functions and provide the active scheduling for the intelligent manufacturing workshop in accordance with.