Zhong MH, Xing W, Fan WC, Li PD (2003) Airflow optimizing control research based on genetic algorithm during mine fire period. Journal of Fire Sciences 21(2), 131-153. [In English]
Web link: http://dx.doi.org/10.1177/0734904103021002003
Keywords:
mine fire, airflow optimizing control, human evacuation plan, genetic, algorithm, underground coal fires, design,
Abstract: Mine fire is a very complex physicochemical process. Once it happens, there are lots of poisonous and harmful gas ingredients while the oxygen density is greatly reduced. Such gas will cause poison, suffocation or death if it is inhaled. As we know, the main cause of great amount of person losses during mine fire is fume poison and suffocation. Additionally, the fume caused by the fire will block the vision and decrease the visibility, which will impede human evacuation and fire fighting. Moreover, due to the turbulent airflow of ventilation network during mine fire period, it is easy to cause the gas and coal dust explosion. So it is very important for the evacuation of miners and mining salvation to research the air flow control during mine fire.
