Design of mine safety dynamic diagnosis system based on cloud computing and internet of things technology

被引：6
作者：
Wang Weiqi [1 ]
Zhang Yanmei [2 ]
Sun Shouyi [3 ]
Xiao Guoqiang [3 ]
机构：
[1] China Univ Geosci Wuhan, Wuhan, Hubei, Peoples R China
[2] Investment Promot Bur Shuicheng Cty Liupanshui, Liupanshui, Guizhou, Peoples R China
[3] Guizhou Faer Coal Ind Co Ltd, Liupanshui, Guizhou, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2021年 / 40卷 / 04期
关键词：
Cloud computing; internet of things; expert knowledge base; reasoning mechanism;
D O I：
10.3233/JIFS-189423
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A dynamic diagnosis system of mine safety based on multi-data fusion is designed by combining the advantages of cloud computing and the Internet of things. The system's framework is built with a three-tier model, and the construction of the cloud computing service platform provides essential support for mass data storage, processing, and security diagnosis reasoning. Simultaneously, using the relational database SQL Server 2017 and the object-oriented language C# to complete the design of an expert knowledge base and reasoning mechanism, and establish the diagnostic scoring system in the way of weighted sum. Therefore, based on the logical matching and reasoning between the collected data and the safety rules, the dynamic diagnosis of mine safety is realized.
引用
收藏
页码：5837 / 5844
页数：8
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