矿井通风系统异常诊断的方法研究

Research on anomaly diagnosis method of mine ventilation system

基于监测风量准确地判断矿井通风系统异常的具体位置及其原因,对提高其安全性和可靠性具有重要价值。通风系统中的任何异常都会引起通风网路的风量重新分布,根据这种观点,应用矿井通风理论和图论对风阻变化引起的风量分布变化的特征进行了深度分析,揭示了其变化规律,得出了异常巷道的风量变化最大的结论。在此基础上提出了基于监测风量的矿井通风系统异常诊断的基本原理,建立了数学模型,推导出了通风系统异常诊断的追踪计算法。并通过现场试验验证了追踪计算法的准确性和可靠性。研究表明:追踪计算法可以唯一确定异常巷道及其等效风阻;计算方法简单,便于实现实时在线诊断。

Any form of an anomaly in a ventilation system can be considered as a change in the ventilation resistance(equivalent resistance),which leads to the redistribution of airflow in the ventilation network.Thus,a detailed analysis of the monitored airflow data can identify the location and the corresponding cause of anomalies in the ventilation system in real-time.First,this paper analyzes the laws governing the change in airflow distribution caused by the changing resistance,considering basic theories of airflow in the ventilation network.The theoretical analysis proves that the airway with changing resistance experienced the most significant change in airflow,in addition,it is noted that the longer the distance away from this airway,the less significant the change in airflow.Based on this inference,a principle for ventilation system anomaly diagnosis based on the monitored airflow data is proposed,to identify the airway with the largest airflow change.In this regard,a mathematical model for anomaly diagnosis is established.A tracking calculation method for anomaly airway and a consistency test method for result diagnosis are determined.Finally,the accuracy and reliability of the tracking calculation method are validated in field tests.The major conclusions of this work are as follows:(1)The proposed tracking calculation method is based on the law of airflow balance and the law of air pressure balance,and is deemed applicable to the anomaly diagnosis of any complex ventilation network;(2)The consistency test method solves the problem of uncertainty in anomaly diagnosis approaches and can uniquely determine the specific location and the corresponding equivalent resistance of an anomaly airway;(3)The tracking calculation method can be implemented using the existing ventilation network solution program,making it very convenient for robust calculation and real-time online diagnosis;(4)Field tests show that the diagnosis results are fully consistent with the test content and that the diagnosis theory proposed in this paper is valid and capable of producing reliable results.