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Abstract: Real
time enterprise is able to provide timely, accurate and detailed
information deliberately. The information is about the large volume of
data from business systems and Smart Items (radio frequency
identification, wireless sensor networks), and most importantly, is
about the information behind all the data. There are few powerful
methods to retrieve and present the behind information, and complex
event processing is effective to do it. The architecture of real time
enterprise based on Smart Items is firstly put forth. The clear
definition of fundamental concepts of event, event model and
hierarchical model are given. All the available event composition
methods are almost based on event type, the event instance operators
here make it possible to figure out complex event in instance level. The
requisite event type operators are also defined. Semantic space is put
forth to provide more event context information, and the strategies of
event instance using, consuming and aging are given to process all the
event instances. Especially, the partition methods of event instances
improve the efficiency of event composition significantly. To detect
composite event, colored Petri net serves as a good candidate in terms
of its properties of concurrency and efficiency, and its mechanism and
algorithm are discussed. Application of the mechanism shows that it is
effective to provide more accurate and concrete information.
Key words: Smart Items Radio frequency identification
Real time enterprise
Complex event processing Petri net
CLC No: TP39
国家863计划资助项目(2005AA411912). Received 20060418, received in revised form 20060921
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