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矿井通风系统风速故障源诊断技术在大明矿的应用研究 被引量:5

Application study of air velocity fault source diagnosis technology for ventilation system in Daming Mine
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摘要 通风系统风流发生变化,从整个网络角度考虑都可以归结为分支的风阻发生了变化。从这一角度分析了大明矿分支风阻变化与各分支风量之间的关系,提出了风阻-风流变化影响关系矩阵法,确定可能使风速异常的巷道集合——故障巷道集合,建立通风网络"故障巷道范围库"。为了故障源诊断能够包含所有分支,研究风速传感器布置的最小数量及位置问题,提出了最少全覆盖布点法,给出了大明矿风速传感器的布置方案。大明矿故障源诊断结果与现场试验结果一致,验证了矿井通风系统故障源诊断技术及方法的可行性。 Underground production of coal mine requires a scientific,stable and reliable ventilation system.As the industrial automation progresses,mine ventilation safety monitoring system became popular in various coal mines.Through reasonably use of the monitoring data,for the first time,fault diagnosis of mine ventilation system is used to rapidly judge and diagnose the fault sources as well as the reason of disaster occurred.The existing safety monitoring systems can only get the air volume of roadways where transducers are installed disregarding the structural and condition changes of ventilation power plant.Thus,they are unable to determine the fault sources leading to such changes.For complex mine ventilation networks,there may be thousands of branches.The drag change of any branch in mine ventilation system may cause air volume changes in it or in other related branches.If the air velocity of a tunnel is limiting alarm of monitoring system in which only the air volume of roadway where sensor is placed can be received,fault sources could not be determined because it can be attributed to a change in drag of branch.The relationship between drag changes of branch and the air volume of branches is analyzed in Daming Mine.Drag-air change effect relationship matrix method is proposed.The branch collection that affecting air volume changes of one branch can be determined through the matrix in the ventilation network.Fault roadway collections which cause the abnormality of air velocity each roadway have been identified.Fault roadway range library is established as well.If the location of air velocity transducers is determined,all fault roadway collections where the branches of these transducers did not cover,the fault can not be monitored.To make sure the diagnosis can cover all branches,the determination of minimum numbers and location of air velocity transducers are critical.Through the industrial test,the results of fault sources diagnosis in Daming are consistent with the field test results.Thus,the feasibility of this diagnostic technique for mine ventilation system fault has been verified.
出处 《安全与环境学报》 CAS CSCD 北大核心 2012年第3期204-207,共4页 Journal of Safety and Environment
基金 国家自然科学基金项目(51174109)
关键词 矿山安全 矿井通风系统 风速 传感器 故障源诊断 mine safety mine ventilation system air velocity tranducer fault sources diagnosis
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