基于CEP的RFID数据处理模型的研究

More and more real time applications apply RFID technology to identify, track and locate objects. Wide deployment of RFID readers will generate an unprecedented volume of primitive data in a short time. Duplication and redundancy of primitive data will affect real time performance of application. Thus, emerging applications must filter primitive data and correlate them for complex pattern detection and transform them to events that provide meaningful, actionable information to end applications. In this paper, we design and develop a complex event processing system called BCEPS. BCEPS will process RFID primitive data and event and perform data transformation. We design a simple complex event language for such transformation. For enhancing real time performance of application, we also design a priority-based event scheduling algorithm for event processing. We apply BCEPS to RFID-based tracking and locating system underground mine which we develop and illustrate the results.