Research on Coal Face Ventilation Reliability with Data Fusion Approach

Author

Zhou Chao ; Wang Mingzhe

Author_Institution

Dept. of Commercial Manage., China Inst. of Ind. Relations, Beijing, China

fYear

2010

fDate

24-26 Aug. 2010

Firstpage

1

Lastpage

4

Abstract

The ventilation system conveys fresh air into laneway, dilutes the noxious gases, and keeps the working environment safe and reliable, how to evaluate the performance or reliability of ventilation system has been one of the important issues in coal mine safety research field. The reliability of underground coal face ventilation was discussed in this paper based on multi-sensor system data fusion approach. A partial-fusion architecture were built and a new basic probability assignment(BPA)based on distance function approach was brought forward. The final case study showed a good effectiveness and feasibility of the data fusion approach.

Keywords

coal; mining industry; occupational safety; probability; reliability; sensor fusion; ventilation; basic probability assignment; coal face ventilation reliability; coal mine safety; distance function; multisensor system data fusion; partial-fusion architecture; ventilation system; Face; Reliability; Temperature distribution; Temperature measurement; Temperature sensors; Uncertainty; Ventilation;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science (MASS), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5325-2

Electronic_ISBN

978-1-4244-5326-9

Type

conf

DOI

10.1109/ICMSS.2010.5576943

Filename

5576943