摘要
目前空气污染已经成为全球面对的重大问题,建设快速直观的空气污染信息系统非常必要。研究基于智能型空气污染无线传感器网络系统,着重于系统中空气污染知识本体的规划与构建。研究利用protégé软件描述空气污染知识本体的概念属性与关系,建立空气污染相关知识本体,空气污染监测系统通过知识本体对污染情况进行的解析及推论,最后产生决策支持信息。通过在太原空气污染监测系统中实际应用,结果表明,系统在本体的支持下可快速准确判断污染的情况并采取相应的措施,具有较高的实用价值。
Currently,the air pollution has become the major issue facing the world,it is very important to construct fast and intuitive air pollution information system.The study of the intelligence-based wireless sensor network system for air pollution focused on planning and construction the air pollution knowledge ontology in the system.We studied to describe the concept attributes and relations of air pollution knowledge ontology by protégé;software,and established the air pollution-related knowledge ontology.The air pollution monitoring system could analyse and infer the pollution situation through knowledge ontology,and eventually worked out the decision-supported information. Through practical application of Taiyuan air pollution monitoring system,results showed that the system can quickly and accurately estimate the pollution situation under the support of ontology and takes corresponding measures,it has quite high practical value.
出处
《计算机应用与软件》
CSCD
2015年第6期109-112,共4页
Computer Applications and Software
