Prediction of Hidden Coal Gas Fire Spontaneous Combustion Source Based on Chaos Theory

Author

Xian-Min Ma ; Liu, Zhen-Xing

Author_Institution

Coll. of Electr. & Control Eng., Xi´´an Univ. of Sci. & Technol., Xi´´an, China

fYear

2011

fDate

17-18 July 2011

Firstpage

1

Lastpage

4

Abstract

Hidden coal gas fire spontaneous combustion troubles are one of the greatest threats to the coal safety production due to the gas explosion. In this paper, a novel method of prediction the hidden fire source is presented by means of choosing the concentration of CO gas as the indicator to detect the hidden coal gas fire location because CO gas is first reach the alarm threshold in the process of coal spontaneous combustion. The chaotic characteristics of CO gas are analyzed, and the duffing chaotic oscillator is used to detect the weak CO gas concentration signals, then the simulation model is established. The research experiment result shows that this method has high sensitivity for predicting the location of coal spontaneous combustion.

Keywords

chaos; combustion; explosions; fires; fossil fuels; occupational safety; oscillators; syngas; carbon monoxide gas; chaos theory; coal safety production; coal spontaneous combustion; duffing chaotic oscillator; gas explosion; hidden coal gas fire location; Chaos; Coal; Combustion; Equations; Force; Mathematical model; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits, Communications and System (PACCS), 2011 Third Pacific-Asia Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4577-0855-8

Type

conf

DOI

10.1109/PACCS.2011.5990135

Filename

5990135