Airflow optimizing control research based on genetic algorithm during mine fire period

被引:10
|
作者
Zhong, MH [1 ]
Xing, W
Fan, WC
Li, PD
机构
[1] Univ Sci & Technol China, State Key Lab Fire Sci, Hefei 230026, Anhui, Peoples R China
[2] State Econ & Trade Commiss, Natl Ctr Ind Safety Sci & Technol, Beijing 100029, Peoples R China
[3] NE Univ, Dept Safety Engn, Sch Civil Engn, Shenyang 110006, Peoples R China
关键词
mine fire; airflow optimizing control; human evacuation plan; genetic algorithm;
D O I
10.1177/0734904103021002003
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:131 / 153
页数:23
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