Multi sensor fire hazard monitoring in underground coal mine based on fuzzy inference system

Article type: Research Article

Authors: Grychowski, Tomasz

Affiliations: Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland

Note: [] Corresponding author. Tomasz Grychowski, Institute of Automatic Control, Silesian University of Technology, 16 Akademicka Street, 44-100 Gliwice, Poland. E-mail: [email protected]

Abstract: One of major threat to underground coal mines and miner's life is a fire hazard. It is important to foresee conditions leading to the fire hazard by proper interpretation of the data from underground coal mine air monitoring stations. The article describes new method for analyzing measured data. The method applies a fuzzy logic and its inference mechanisms to improve reliability in decision making process. The analysis utilizes measured data from information related to changes in composition of gases in underground mine and uncertainty of monitoring sensors. The method was tested in fire simulating setting utilizing underground measurement equipment. Fuzzy models of fire hazard conditions where design with help of LabVIEW. The correlation between model structure and interpretation of the result is presented.

Keywords: Fire hazard detection, fuzzy logic, expert systems, gas measurements, knowledge based systems, underground fire, exogenous fire assessment

DOI: 10.3233/IFS-120743

Journal: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 1, pp. 345-351, 2014