Rule Engineer Model on the High-speed Processing of IoT Warning Information
JI Peiy · Computer and Digital Engineering · 2013
Traditional business data exists mainly in the form of text format,the structure of directory is very complex,the types of business message and the number of documents are numerous.It's very complex to use the business data of Internet of Things(IoT),which has brought great inconvenience to the work of business disasters monitoring and warning,data statistical analysis and the disaster assessment.Based on IoT,the rule engine proposed by this paper(REoHIWI)is to separate IoT information business logic from business data:business logic,which is often seen as the body to be changed frequently,is extracted from the code as an independent part to be maintained separately.In addition,this paper analyzes the external work flow and internal working mechanism of rule engine,and describes the rule engine's logic and the principles of data separation from a structural point of view.