Study On Mine Ventilation Gas Fusion Analysis And Application Technology

Coal mine safety monitoring system is the cornerstone for mine ventilation safety.By collecting real-time data of gas,airflow,environment and the so forth,safety investigation and control can be performed.The data is huge,multidimensional and heterogeneous with important interrelation under the time-space system,covering concealed information of mine safety situation and its changing trend.Further efforts need to be added for deeper analysis in order to raise the safety level in the aspects of safety judgment and alert for higher standard of coal mine safety management.On the basis of research achievements of domestic and foreign scholars,this paper combines ventilation safety theory and data analysis method to study on the relationship between multidimensional data obtained from mine safety monitoring system.The time and spatial correlation of different data is established with the topology of ventilation network.By comparison and verification of different data,gas spatial distribution characteristics can be obtained and its multi-level early warning index system is established,which can be used to support a higher mine safety level.In order to identify the sign of disaster in coal mines,quantitative analysis of gas fluctuation caused by production activities is systematically performed to reveal the basic pattern of gas fluctuations.A gas anomaly warning system is accordingly established based on the pattern of gas concentration fluctuation,moving average,continuous rise range and fluctuation range of data.The concepts of ventilation drainage area and safety sub-region are analyzed and perfected together with division criterion and technical procedures.On the basis of ventilation sensitivity index matrix,the ventilation interrelationship between safety regions is revealed and identified,and its standing in mine ventilation analysis is established.A searching model of ventilation drainage area and construction method are put forward.Using breadth-first search algorithm,upstream and downstream of air-required area is analyzed,and a partition method is given for systematically breaking down a ventilation system,thus the potential rule of ventilation drainage area and safety sub-region in the joint analysis of ventilation and safety monitoring data is identified.Maps of safety sub-regions with airflow rate scale as well as with airflow and pressure scale are constructed.It shows significant advantages in ventilation analysis and investigation.A fusion method of coal mine multidimensional-heterogeneous data is proposed.By analyzing the characteristics of monitoring data,the framework of data fusion is established.The three spline difference is used to fit the gas data,thus to establish the weight evaluation system by analyzing the accuracy,precision and attenuation of measurement.Then the fusion of coal mine multidimensional-heterogeneous data is realized by using the weighted average method.D-S evidence theory is adopted for comparison and analysis of the speculation data.The distance function and weight function is used for evaluating credibility of data.Weighted averaging method for constructing conflict evidence is established.Then possible sensors of seemingly out of order can be identified through fusion data analysis.A mine emergency plan formulation method is put forward based on partition principles of safety sub-region.Disaster origin tracing method is proposed based on coalmine ventilation safety sub-region analysis,and the location of disaster source and its range of influence can then be determined by using the data collected from monitoring system.