An implementation of intelligent monitoring system for food processing

Abstract

Tracking and tracing system is an important technology to guarantee food product safety. A design and realization of intelligent food production processing monitoring system for pork production processing is introduced. Production data in the processing of the system is studied. Using radial base function (RBF) neural network, fuzzy data processing techniques, the system analyze over-range abnormality data, and tracing data of pork processing supply chain control is standardized through European article numbering-uniform code council (EAN/UCC) system. Then quality information exchange of pork production and processing of each member of supply chain is achieved. Therefore, product quality monitoring pre-warning and traceability in the process of food processing is realized. The system real-timely monitors, acquires and exchanges pork producing and processing data by using Radio Frequency Identification (RFID) , Controller Area Network (CAN) bus and embedded system technologies. Through constructing software and hardware platforms, the real-time data are imploded into data link of tracing information which ensures the data consistency and integrity. Thus, tracing and tracking the whole pork slaughter and processing information are effectively implemented. System operation showed that the proposed intelligent monitoring system had good real-time performance, high reliability and accuracy.