Dynamic Monitoring Of Airflow Parameters And Air Quantity Regulation Optimization For Mine Ventilation System

The reasonable value of airflow parameters is the most important parts of protecting themine production safety, improving the underground safety and health conditions of staffs aswell as preventing the disasters in mine ventilation system. With the development of minemonitoring technology, the monitoring equipment plays a fatal role in keeping the mineventilation system operating safely and stably. Aiming at the problems of airflow parametersmonitoring and air quantity regulation optimization of mine ventilation system, this papersystematically studies the theory and technology of dynamic monitoring and air quantityregulation optimization. It provides the theoretical basis for the realization of mine automationprocess, protection of the safety, intensive and efficient exploitation of mine.According to the measuring airflow&evaluating resistance (MAER) method, this paperestablishes the algorithm of choosing the optimal circuit for the minimum regulation number ofMAER model and a modified model of MAER based on the monitoring data in complex mineventilation system. Combining with greedy evolution algorithm and generalizedcross-validation method, the Tikhonov regularization method is proposed to revise above model.According to the principle of global and local regulation of the complex mine ventilationsystem, the regulating location of MAER method is put forward based on regulating the mainfan operating conditions and air resistance of underground roadway. In order to improve theaccuracy of the monitoring data and reduce the disturbance to the measurement and calculatingresults, the adjustment of redundant air velocity transducer measurement and the standarddeviation filter method are put forward based on the theoretical study of the dynamic airflowparameters of mine monitoring system.In order to overcome the blind monitoring zone of airflow parameters, the optimaltransducer location method is proposed in mine monitoring system. The objective functions arethe minimum amount of transducer locations of airflow parameters (wind pressure and airvelocity), and it should satisfy the requirement of real-time calculating the branch resistance ofmine ventilation network and obtaining the whole airflow parameters without blind monitoringzone; the constraints obey the Kirchhoff’s current law and Kirchhoff’s voltage law. Adoptingthe step by step optimization solution method, the model of air velocity transducer arrangementbased on variable fuzzy optimization theory and the optimal distribution style of monitoringcable are put forward for determining the transducer location of airflow parameters, theaffiliation of transducer and monitoring substation, as well as the optimal laying plan ofmonitoring cable. This paper establishes the mathematical model of air quantity regulation optimization ofmine ventilation network. The objective function is composed of the fewest regulating locationsand the smallest air power of main fans; the variables are mixing of the regulating air resistanceof branches and the air quantity of the cotree branches which are not the constant branch; theinequality constraint conditions include the lower and upper bound of the air velocity, theregulating air resistance of the roadway, the required air quantity of the chamber, and the fanpressure; the equality constraint conditions obey the Kirchhoff’s current law and Kirchhoff’svoltage law. Furthermore, the combination method of greedy evolution and critical path (GECP)is proposed in for solving the air quantity regulation optimization model. It is feasible to obtainan optimal air quantity regulating scheme which ensures mine ventilation system operatingsafely, economically and reliably.Using the hybrid programming approach of Microsoft Visual C++and Microsoft SQLServer, the software of mine ventilation system dynamic monitoring and optimal regulation isdeveloped, which has the following functions, such as location of airflow monitoring equipmentof mine ventilation network, query of the monitoring data, calculation of the MAER model, andair quantity regulation optimization of mine ventilation network. And the practical experimentin Jinjia coal mine of Guizhou Panjiang Refined Coal Co., ltd. is completed.