面向智能诊断的语义物联网知识标注与推理框架  

A Knowledge Annotation and Reasoning Semantic Web of Things Framework for Intelligent Diagnosis

作　　者：吴振宇[1] 杨雨浓 朱新宁[1] WU Zhen-yu YANG Yu-nong ZHU Xin-ning(School of Information and Communication, Beijing University of Posts and Telecommunications, Beijing 100876, China)

机构地区：[1]北京邮电大学信息与通信工程学院,北京100876

出　　处：《北京邮电大学学报》2017年第4期104-110,共7页Journal of Beijing University of Posts and Telecommunications

摘　　要：为解决开发物联网应用时海量设备数据所带来数据整合问题,提出了一种基于语义标注与推理的物联网应用系统框架.框架中包含一种通用的物联网应用本体,在重用传统设备描述本体的基础上拓展了设备间关系的建模.框架还借助语义传感网、语义web和推理技术以支持可自动执行复杂分析控制任务的实际物联网应用的开发,如异常诊断、自动控制等.楼宇自动化场景下的实验结果表明,该框架支持物联网设备知识库的构建和扩展,并可以支持复杂的物联网应用.The web of things（WoT） is one of the present advancements in which devices,objects,and sensors are getting linked to the semantic web. To solve the integration problems in developing Wo T application with huge device data. A semantic annotation and reasoning based framework and approach was proposed. It presents a universal ontology for Wo T applications with expanding a physical process model on the basis of reusing the traditional device description ontology. The framework also shows that semantic sensor networks,semantic web technologies,as well as reasoning mechanisms can help in real-world applications to automatically derive complex models for analytics tasks such as anomaly diagnosis and automatic control. The article demonstrates approaches for building automation system with numerous connected devices in knowledge base constructing and show how the semantic framework allows us to develop a complex Wo T application.

关 键 词：物联网知识库 语义规则及推理 实体链接 异常诊断 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]