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
相关论文
共 50 条
  • [41] Routing Optimizing Algorithm of Mobile Ad-Hoc Network Based on Genetic Algorithm
    Wu Xiao-Yan
    Liu Yang
    PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE ON COMMUNICATION, ELECTRONICS AND AUTOMATION ENGINEERING, 2013, 181 : 1205 - 1211
  • [42] STUDY ON MINE VENTILATION RESISTANCE COEFFICIENT INVERSION BASED ON GENETIC ALGORITHM
    Gao, Ke
    Deng, Lijun
    Liu, Jian
    Wen, Liangxiu
    Wong, Dong
    Liu, Zeyi
    ARCHIVES OF MINING SCIENCES, 2018, 63 (04) : 813 - 826
  • [43] Image Segmentation Research Based on Genetic Algorithm
    Guan Xiao-wei
    Zhu Xia
    MEMS, NANO AND SMART SYSTEMS, PTS 1-6, 2012, 403-408 : 1622 - +
  • [44] Research of Image Segmentation Based on Genetic Algorithm
    Zhu Meining
    Hu Zhili
    Chen Xiumin
    THIRD INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2011), 2011, 8009
  • [45] Research on Scheduling Algorithm Based on Genetic Algorithm for Grid Tasks
    Liu, Hongzhi
    Zhang, Wenyue
    Hao, Jianqiang
    Sun, Jianzhi
    Li, Yuehui
    2010 2ND INTERNATIONAL CONFERENCE ON E-BUSINESS AND INFORMATION SYSTEM SECURITY (EBISS 2010), 2010, : 418 - 421
  • [46] The research of special laboratory timetable algorithm based on genetic algorithm
    Guo, Junen
    Li, Yaping
    Diao, Wenguang
    Journal of Convergence Information Technology, 2012, 7 (23) : 468 - 475
  • [47] The research of resource scheduling based on Genetic Algorithm
    Yuan, Zhiling
    Yuan, Yiping
    Yang, Meng
    Key Engineering Materials, 2012, 522 : 799 - 803
  • [48] Research of Software Reliability Based on Genetic Algorithm
    Xue Guoxing
    PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING SYSTEMS, 2009, : 806 - 809
  • [49] Regression Genetic Algorithm (RGA) Based Approach For Optimizing Bank Deposit
    Saragih, Rijois I. E.
    Simatupang, Oktaria
    2019 2ND INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS & INFORMATION SECURITY (ICCAIS), 2019,
  • [50] Research and Application of Reservoir Flood Control Optimal Operation Based on Improved Genetic Algorithm
    Ren, Minglei
    Zhang, Qi
    Yang, Yuxia
    Wang, Gang
    Xu, Wei
    Zhao, Liping
    WATER, 2022, 14 (08)