Data Integration Research of Coal Mine Safety Production System for Emergency Decision-Making

Author

Qi-dong, Pan ; Rui-xin, Zhang ; Dong-sheng, Duan ; Gang, Sun

Author_Institution

Sch. of Resources & Safety Eng., China Univ. of Min. & Technol., Beijing, China

Volume

3

fYear

2009

fDate

25-27 Dec. 2009

Firstpage

142

Lastpage

145

Abstract

Today the serious casualties of Chinese coal mines happened frequently and caused great casualties and property losses. This situation is extremely associated with scarcity of advanced emergency management(EM) methods for emergences forecast & precaution and decision-making. Data integration of coal mine safety production (CMSP) system is the foundation of solving above problems. According to the multi-source and heterogeneous features of CMSP System, this paper analyzes several ways of data integrating, and concludes that the combination of data warehouse and middleware (named data-center) can solve the problems effectively. On this basis, a meta-framework model for coal mine EM system is established, and the data integration system for coal mine emergency decision-making is designed. At last, the conversion problem of heterogeneous-source data is analyzed.

Keywords

coal; data warehouses; decision making; decision support systems; middleware; mining industry; occupational safety; Chinese coal mines; advanced emergency management method; coal mine safety production system; data integration research; data warehouse; emergency decision making; middleware; Application software; Data engineering; Data mining; Data warehouses; Database systems; Decision making; Middleware; Power engineering and energy; Product safety; Production systems; coal mine; data integration; emergency decision-making; multi-source heterogeneous;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on

Conference_Location

Chongqing

Print_ISBN

978-0-7695-3930-0

Electronic_ISBN

978-1-4244-5423-5

Type

conf

DOI

10.1109/IFCSTA.2009.274

Filename

5384771