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机构地区:[1]江苏警官学院公安科技系 [2]南京理工大学计算机科学与技术学院
出 处:《计算机与数字工程》2013年第9期1478-1481,共4页Computer & Digital Engineering
基 金:公安技术学;江苏省高等学校重点学科建设
摘 要:传统的信息资料主要以文本形式存在,目录结构复杂,报文种类和文件数量繁多,资料的查询和使用过程繁琐,已不适应物联网环境下信息监测预警、业务资料的统计分析以及灾害评估等工作的需要。论文以物联网应用为基础,提出了大数据预警信息高速处理规则引擎(REoHIWI),实现了对预警信息的业务逻辑和业务数据分离,将通常作为变更主体的业务逻辑从混乱的代码当中提取出来,作为一个独立维护的部分。同时,文章分析了规则引擎的外部工作流程和内部工作机制,并从结构的角度对规则引擎逻辑与数据分离的工作原理和实现方法进行了描述。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 assess- ment. Based on IoT, the rule engine proposed by this paper(REoH1WI) 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 internaI working mechanism of rule engine, and describes the rule engine's logic and the principles of data separation from a structural Doint of view.
关 键 词:物联网大数据预警信息 规则引擎 物联网信息业务逻辑
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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