RFID Complex Event Processing And Application

RFID is a radio frequency wave automatic identification technology that is more and more widely used in recent years. RFID tags can be uniquely identified by the ID that is stored in the memory of the label. The label can be affixed to almost any articles. RFID technology allows object ID, identification, classification and tracking of physical world object becomes possible. RFID is an automatic device that execution fast. Reader and label objects do not need to aim or connection. Because of these advantages of RFID, it is generally used in various fields, for example, client detection, network detection, supply chain management, transaction process management, and health management and other fields. These systems produce a large number of events and detect complex application model is filtered and is associated with the event decided, that is a collection of different time and spatial scales into new, can express high-level semantics and contains explicit information events.Although RFID has so many advantages, but in practical application in the above systems there are still many problems to be resolved.The reader can read high efficiency, tags can be read by thousands of data per second, which led to the massive amounts of data generated can’t count the large-scale deployment, requires RFID data processing system must be able to deal with massive data system.The tag data is just a simple format (readerid, tagid, timestamp) through the network to the host, such a simple data format information is of no practical significance, and unable to meet the needs of the user application. So the system must be containing low-level semantics of data processing into advanced semantic data contains a wealth of information.RFID data is stream data, not like static data using traditional database processing.This issue in the simple analysis of the existing problems of the existing RFID complex event processing model and to identify the RFID data, defines the logical relationship of the RFID complex event and timing relationships, and gives several operations RFID complex event. Proposed RFID complex event processing model should be based on Petri nets based on the characteristics of the RFID complex event Petri nets extended, making it able to adapt to RFID complex event detection time Petri nets model, and finally established model optimized to effectively reduce the memory consumption of the event handling process.Petri nets detection model can be applied to RFID complex event detection. But due to the establishment of Petri nets detection model is very complicated, and the significance of the events in different application environments are different, so for professionals making different design Petri net detection model for different users every time is a repeatability great job. So this article will package Petri nets detection into a simple model of middleware in the form, and provide users with a simple scripting language like SQL, that is able to build complex event detection model suitable for the desired application.