Abnormal Event Detection of Workshop Logistics Production Management Based on RFID Technology

Abstract

RFID, as one of the most important key technologies in the next generation of advanced manufacturing system, has increasingly significant advantages in the application of data collection in the manufacturing workshop, real-time tracking of the manufacturing process and product quality backtracking, etc., and is considered to be the most potential and play a huge role in the technological innovation of manufacturing informatization. In order to better study the abnormal event detection technology of workshop logistics production management based on RFID technology, this paper firstly studies the abnormal event detection method of workshop production based on RFID technology based on the analysis of RFID technology principle, data characteristics and workshop production process. Then, a formalized complex event representation method is constructed to meet the complex and changeable business logic requirements in the actual workshop production application. Then, the solution idea of extracting complex RFID events from massive RFID data using Rete algorithm based on MapReduce framework is discussed. The results show that the accuracy of detecting abnormal events increases by 18.21%, which proves the validity of the model.