Research on Mine Gas Monitoring System Based on Multi Sensor Data Fusion

Xing Jian Zi; Hai Jun Wang

doi:10.4028/www.scientific.net/AMR.479-481.2090

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 479-481Research on Mine Gas Monitoring System Based on...

Research on Mine Gas Monitoring System Based on Multi Sensor Data Fusion

Abstract:

At present the majority of mine gas monitoring systems have the following shortcomings: inaccuracy in measuring, poor in real-time and anti-interference. This paper presents a two-level-fusion design for sensor system information by patch estimation theory and BP neural network ,and the simulation have been carried out with many mines’ measured data .The results show that the method can greatly improve the accuracy and reliability of measurement, and can make a real-time objective evaluation to the mine safety situation.

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Periodical:

Advanced Materials Research (Volumes 479-481)

Pages:

2090-2094

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.479-481.2090

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Online since:

February 2012

Authors:

Xing Jian Zi, Hai Jun Wang

Keywords:

BP Neural Network (BPNN), Gas Monitoring, Information Fusion, Patch Estimation

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