机构地区: 北京航空航天大学机械工程及自动化学院,北京100191
出 处: 《机械工程与自动化》 2017年第5期63-65,共3页
摘 要: 采用复杂事件处理(CEP)的思路,结合具体的业务,使用一套形式化符号演算处理方法来对物联网(IoT)下的多源数据封装的事件进行逻辑与属性层面定义,设计了相应的符号解析软件系统以形成标准的Drools规则来简化规则的编写,并结合制造车间内物流系统的实现进一步说明了该框架的可用性。 In this paper, a software is developed, which combining CEP and specific business and using a set of formal symbolic calculation method to define the relationship of those muhi-source collected data on logic and attribute level. The software can translate the formal expression into standard Drools expression to simplify the usage of Drools rule engine. The availability of the framework is further illustrated in conjunction with the implementation of the logistics system within the manufacturing plant.