Title :
Research on Gas Emission Distribution in Coalface Based on Trend Surface Polynomial Analysis
Author :
Tong Ziyuan ; Tong Min-Ming ; Liu Bin ; Li Meng
Author_Institution :
Sch. of Inf. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
Abstract :
In this paper, gas intensity data collected from coal mine with wireless gas sensor network has been analyzed for the understanding of gas distribution at mining work place. The concentration parameters acquired at different position were dealt with polynomial equation surface fitting based on trend surface analysis, and we built the trend face analysis model with calculation results. Diagram of gas distribution trend and the isocline chart of gas concentration were achieved with the model. The diagram and chart present the distribution of gas concentration in different direction at coal working place and the gas accumulation at top corner from the ventilate eddy. Then, we discussed the effects of airflow and cutting coal to gas distribution. The research results are significant for monitoring and controlling of gas to avoid explosion accident the coal mining.
Keywords :
accidents; chemical variables measurement; coal; explosions; gas sensors; mining; polynomials; surface fitting; airflow effect; coal mine explosion accident; coal mining; coalface; gas concentration; gas emission distribution; gas intensity data; polynomial equation surface fitting; trend face analysis model; trend surface analysis; wireless gas sensor network; Coal; Data mining; Gas detectors; Market research; Surface fitting; Wireless communication; Wireless sensor networks; Coal gas; gas distribution; mine;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2014.2341036