摘要
融合云计算、物联网的双重优势,设计了一种基于多数据融合的矿山安全动态诊断系统。采用3层模式搭建了系统的框架结构,并基于云计算服务平台的构建为海量数据存储、处理及安全诊断推理提供基础支撑。同时,利用关系型数据库SQL Server 2017和面向对象语言C#完成专家知识库及推理机制的设计,并加权求和的方式建立诊断评分体系。由此,基于采集数据与安全规则的逻辑匹配、推理,实现对矿山安全的动态诊断。
This paper designs a mine safety dynamic diagnosis system based on multi-data fusion, which combines the advantages of cloud computing and Internet of Things. A three-tier model is adopted to build the framework of the system, and the construction of cloud computing service platform provides basic support for massive data storage, processing and security diagnostic reasoning. At the same time, the expert knowledge base is completed by using relational database SQL Server 2017 and object-oriented language C#. Based on the logical matching and reasoning between data acquisition and safety rules, the dynamic diagnosis of mine safety can be realized.
引文
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