Dissertation > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Optical pattern recognition devices

A Research of RFID Supply Chain Data Anomaly Detection in EPC Network

Author JinGuoPing
Tutor WangDong
School Shanghai Jiaotong University
Course Software Engineering
Keywords RFID Anomaly Detection Supply Chain EPC Network
CLC TP391.44
Type Master's thesis
Year 2012
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With RFID technology are more and more concerned about the deployment of RFID systems gradually to large-scale development of networked , distributed trend , the reliability analysis of RFID data becomes particularly important . According to the survey showed that the competitiveness of enterprises is closely related to their ability to control information . Data analysis in order to obtain useful information on the analysis of the premise that the \Anomaly Detection technology for RFID supply chain in-depth analysis and research , RFID supply chain anomaly detection system based on distance and the rules proposed for RFID supply chain transport delayed , theft and other abnormal problem , the system is divided into a total of three levels: data preprocessing layer , the exception analysis layer and graphical display layer . The data pretreatment layer is divided into time preprocessing and path pretreatment , mainly for cleaning, for the upper layer to provide clean, useful data acquired RFID event data from the EPC network . The anomaly analysis layer is the core of the system is divided into distance-based anomaly detection and rule-based anomaly detection . Comparing the path sequence of the discrete Fourier transform structural similarity distance - based method of detecting abnormality discovered abnormalities, rules-based anomaly detection method to use the node or between nodes analysis rule to detect the efficiency of the flow of the supply chain and abnormal conditions , the two were to detect the abnormal condition of the supply chain from both global and local . Among them, the rule-based approach is divided into traffic statistics , speed, consistency , consistency of the residence time of transportation of receiving matching rules . Graphical display layer abnormal data stream by way of a map-based display provides a visual interface to facilitate managers view exception information . This paper first analyzes the challenges faced by anomaly detection technology and the characteristics of RFID data ; RFID supply chain based on distance and rule-based data anomaly detection solutions and supply chain exception type and existing anomaly detection method ; Finally its achieve.

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