Application of Statistical Process Control to Monitor Underground Coal Mine Fires Based on CO Emissions

Kursunoglu N., ANKARA H.

COMBUSTION SCIENCE AND TECHNOLOGY, vol.196, no.1, pp.142-159, 2024 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 196 Issue: 1
  • Publication Date: 2024
  • Doi Number: 10.1080/00102202.2022.2145558
  • Journal Name: COMBUSTION SCIENCE AND TECHNOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Chemical Abstracts Core, Compendex, Computer & Applied Sciences, Environment Index, INSPEC
  • Page Numbers: pp.142-159
  • Keywords: Statistical process control, control chart, regression, coal fire, carbon monoxide, SPONTANEOUS COMBUSTION, PREVENTION, PREDICTION, OXIDATION, TENDENCY, FLOW
  • Eskisehir Osmangazi University Affiliated: Yes

Abstract

Toxic and threatening gases are the most hazardous components of mine fires. Carbon monoxide is one of these lethal gases. It can be used to monitor the progression of fires in underground coal mines. The purpose of this study is to monitor mine fires using statistical process control. Using quality control charts, the lower and upper limits of the carbon monoxide measurement values were evaluated in the first stage. The variations in carbon monoxide readings caused by a mine fire were then analyzed using regression control charts. Positive slope changes indicated that the fire was spreading, while negative slope changes indicated that the fire had been extinguished and stable slope changes indicated that the fire was under control. By analyzing the time-dependent change of carbon monoxide in underground mines using this method, an effective methodology for controlling coal fires was established.