基于大数据的通风巷道摩擦阻力系数快速确定方法研究  

Research on rapid determination method of friction resistance coefficient in ventilation roadways based on big data

作　　者：梁军 Liang Jun(CCTEG Chongqing Research Institute,Chongqing 400037,China;State Key Laboratory of Coal Mine Disaster Prevention and Control,Chongqing 400037,China)

机构地区：[1]中煤科工集团重庆研究院有限公司,重庆400037 [2]煤矿灾害防控全国重点实验室,重庆400037

出　　处：《能源与环保》2024年第4期51-55,共5页CHINA ENERGY AND ENVIRONMENTAL PROTECTION

基　　金：2022年天地科技股份有限公司科技创新创业资金专项项目(2022-2-TD-ZD010)。

摘　　要：在矿井通风网络仿真模拟中,需快速确定通风网络中未测定巷道通风阻力。对建立通风巷道阻力系数大数据库的构成与数据库集群形成方法进行研究,并提出基于大数据的通风巷道摩擦阻力系数提取方法;基于大量基础数据,融合巷道基本属性、环境参数等条件快速确定巷道基础阻力系数,为通风网络仿真模型的快速构建提供有力数据基础。Targeting the simulation of the ventilation network of the mine,it is necessary to quickly determine the ventilation resistance of unmeasured roadways in the ventilation network.The composition of a large database for ventilation roadway resistance coefficient and the method of forming a database cluster were studied,and a method for extracting the friction resistance coefficient of ventilation roadways based on big data was proposed.Based on a large amount of basic data,the basic properties and environmental parameters of the roadway were fused to quickly determine the resistance coefficient of the roadway foundation,providing a strong data foundation for the rapid construction of ventilation network simulation models.

关 键 词：通风网络 大数据 摩擦阻力系数 影响因子 网络仿真 通风安全 

分 类 号：TD724[矿业工程—矿井通风与安全]