Technologies of event detection can help people obtain useful information from a high volume of events. Therefore people have paid more attention to them in recent years. However, with the rapid development of Data Acquisition Equipments(DAE), the number of event and event type are increasing continually, which brings a greater challenges to limited memory. By analyzing characteristics of event, we present an event model which can be applied to various fields and then two methods of storing events based on internal and external memory scheduling are proposed, which are convenient for searching events. By using of it, the events can be handled more easily due to the compression technology and more storage space can be saved. Finally, experiments on masses of events suggest that less storage space of events is used and the efficiency of event detection has been improved greatly according to the methods proposed by this paper.