A Gas Monitoring System Based on a Sensor Network

Abstract:

Gas monitoring of roadway excavation of coal mine is of utmost importance, to monitor the gas distribution more effectively, the following works were carried out. Taking a rectangular tunnel as research object, the distribution law of the gas was simulated by using commercial software FLUENT, a simulation test bed was built according to similarity theory and sensors arranged according to simulation results to form a sensor network, BP neural network was adopted in process of acquired data. The results show that it is of accuracy and feasibility to provide theoretical basis for arrangement of the network sensor by simulation results of gas distribution. By using a BP network, the sensor network can be used to predict the gas concentrations accurately.

• Periodical: Applied Mechanics and Materials (Volumes 246-247)
• Pages: 817-821
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.246-247.817
• Online since: December 2012
• Authors: Qing Rui Meng, Chu Wen Guo, Jie Quan, Zhi Peng Hu
• Keywords: BP Neural Network (BPNN), Gas Distribution, Gas Monitoring, Sensor Network

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