Analysis and simulation of intensive mine air regulation model based on the cellular automaton
PEI Xiaodong
WANG Kai
LI Xiaowei
JIANG Shuguang
CUI Chuanbo
WU Zhengyan
SHAO Hao
Abstract:In view of the present situation that highly intensive mining was produced quickly,and the air quantity requirement of some branch was changed frequently.The ventilation resistance of branch regulation,fan frequency adjustment and the combination regulation automatic control models were established.Local ventilation system was took as a prototype in a certain coal mine,the minimal residual branch was determined and the air quantity of the branch was monitored,then the air quantity of association branches were calculated,and the air quantity of overall the branches monitoring in the ventilation network was realized.When the air quantity requirement of some branch changed,the cellular automaton model in the ventilation network was established,and the optimal regulation solution for the ventilation resistance of association branch was calculated.The required air quantity of the key branch was brought into the ventilation network,the ventilation resistance of the regulation branch was inversion calculated by the iterative solution,and the adjustment results were verified through the ventilation network calculation in advance.The total requirement air quantity in the ventilation network was calculated by the air quantity of the key branch,the fan operating frequency in fan characteristic curve library was found out,and the advanced simulation of the regulation process was achieved.The automatic software for regulating requirement air quantity of key branches in the ventilation system was developed.The simulation results show that the ventilation resistance of branch regulation,fan frequency adjustment and the combination regulation methods are feasible.
Keywords:model of air quantity adjustmentrelated branchescellular automatonadvanced simulationsimulate verification
Publication Date:2017-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:7( 755-761 )
Journal of China University of Mining & Technology

Journal of China University of Mining & Technology

PKUISTICEI
ISSN:1000-1964
Year, Vol.(Issue):2017,46(4)