本文選題：智慧制造 + 無線射頻識別�。� 參考：《湖南大學學報(自然科學版)》2017年04期

【摘要】：為解決智慧制造車間工件異常情況的實時監(jiān)測問題,以及追蹤工件加工過程的軌跡,提出基于RFID與復雜事件處理的實時監(jiān)測方法.基于信息物理融合系統(tǒng)理念構建智慧制造車間的感知環(huán)境和定義各類事件模型,采用基于SMURF的綜合方法清洗RFID數(shù)據(jù),應用復雜事件處理技術監(jiān)聽工件的異常情況,并形成工件實時狀態(tài)矩陣.仿真實驗證明,該系統(tǒng)可以實現(xiàn)預期功能,為智慧制造車間的主動調(diào)度提供依據(jù).
[Abstract]:A real-time monitoring method based on RFID and complex event processing is proposed to solve the problem of real-time monitoring of workpiece anomalies in intelligent manufacturing workshop and to track the track of workpiece machining process. Based on the concept of information physics fusion system, the perceptual environment of intelligent manufacturing workshop is constructed and all kinds of event models are defined. The RFID data are cleaned by comprehensive method based on SMURF, and the abnormal situation of workpiece is monitored by complex event processing technology. And form the real-time state matrix of the workpiece. The simulation results show that the system can achieve the expected function and provide the basis for active scheduling of intelligent manufacturing workshop.
【作者單位】： 華南理工大學機械與汽車工程學院;
【基金】：國家自然科學基金資助項目(51175187,51675186) 廣東省科技計劃資助項目(2016B090918035,2016A020228005)~~
【分類號】：TB49;TP391.44

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本文編號：1917256