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作 者:马群 Ma Qun(Shandong Liangzhuang Mining Industry Co.,Ltd.,Shandong Tai'an 271219)
出 处:《山东煤炭科技》2024年第7期62-66,共5页Shandong Coal Science and Technology
摘 要:针对良庄煤矿通风系统不够合理、减灾抗灾能力较差,不能达到矿井灾害防治的要求,运用系统工程的观点,构建通风系统可靠性预警指标体系,提出了对矿井通风系统分区式监测管理方法。该方法将矿井通风系统开采区域划分为三个安全分区进行矿井通风系统逻辑分析,分析关键分支选取原则和方法,确定10条关键分支;利用粗糙集-神经网络的方法,给出关键分支关键测点的预警指标值。研究结果对于保障矿井的安全高效开采具有重要的理论与现实意义。In view of the unreasonable ventilation system and poor disaster reduction and resistance ability of Liangzhuang Coal Mine,which cannot meet the requirements of mine disaster prevention and control,a reliability early warning index system for the ventilation system is constructed using the perspective of system engineering.A zoning type monitoring and management method for the mine ventilation system is proposed.This method divides the mining area of the mine ventilation system into three safety zones for logical analysis of the mine ventilation system,analyzes the principles and methods for selecting key branches,and determines 10 key branches;Using the method of rough set-neural network,provide early warning indicator values of key branch key measurement points.The research results have important theoretical and practical significance for ensuring the safe and efficient mining of mines.
分 类 号:TD724[矿业工程—矿井通风与安全]
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