QUANTITATIVE ANALYSIS OF RELIABILITY ASSESSMENT INDEXES OF MINE VENTILATION NETWORK SYSTEM

In order to prevent the hazards of rock burst, spontaneous fire in deep-level mines, and to ensure that ventilation runs safely and reliably; the variation trends and the distribution rules of the air flow in deep-level mine are analyzed. Based on the network flow theory and statistics principle, the density functions of the air quantities in the airways are established. With the maximum likelihood estimation (MLE), the rationality of the parameters in the air quantities distribution functions are verified. By the mean of the disjoint minimal path set algorithm, the reliability assessment models of the mine ventilation network are found. All of the calculation processes are processed in the environment of MATLAB and VC++. The results indicate that the indexes of the quantitative analysis confirm the practical situation of the ventilation network system in Daliuta Coal Mine.