Study On Dynamic Verification Of Ventilation Ability And Regulation Optimization Based On Parallel Computing

In order to ensure the safety production of coal mine enterprises and to obtain the maximum economic benefits, it’s necessary to determine the reasonable coal mine ventilation capacity and to excavate the maximum potential of mine ventilation system. The current mine ventilation ability verification method is established based on the current and past ventilation system measurement data to predict the future mine ventilation ability. With the reform and rapid development of mining technology, the coal mine is gradually developing to the highly production and highly efficiency model. Meanwhile, the highly production and efficiency will increase mining intensity, which will lead to topological structure of the ventilation network changing rapidly and frequently which will affect the safety and stability of coal mine. The paper did a detailed research on the relationship of dynamic verification for ventilation ability based on the mining and excavation process and adjustment optimization of mine ventilation system. Dynamic verification of ventilation ability and regulation optimization based on parallel computing was proposed according to study the changing rules of ventilation system with mining and exceeding process and the local resistance coefficient variation rules to ensure the safety production in the highly efficiency coal mine. The corresponding application software and algorithm was developed.According to the verification standard of mine ventilation ability, the needed air calculation model of the coal mine air needed spots was established. Taking into account of the characteristics of the mining layout and the safety rules, the speed of the mining face and tunneling face was analyzed by using the mathematical statistics method. The distribution of spontaneous combustion "three zones" in the goaf under different air conditions was studied by using CFD numerical simulation software to determine the reasonable range of air quantity while mining and excavation.According to the actual process of the mining and excavation process, the single and multi-lane excavation face state model and the mining face with double U type ventilation system state model were established and the transition model of the air flow direction was analyzed. The tunneling ventilation system status model and the simulation method of tracking adjustment on the ventilation network variation caused by mining and excavation activities were established, meanwhile the corresponding algorithm was proposed.The mine ventilation network air regulation with multi-objective nonlinear optimization model was established based on the dimensionless weighted integrated minimum of goaf air leakage branch on both node pressure, adjustment facilities and the mine ventilator total power. Aiming at the deficiency of GECP algorithm, PCGECP algorithm was proposed by designing the corresponding data structure and the program structure. Calculation software was developed to determine the safety, reasonable and economic adjustment scheme rapidly and efficiently.The effects of different Reynolds number, ventilation regulator position and size on the local resistance coefficient under turbulent state were measured by using CFD numerical simulation. Digital precision differential pressure gauge was used in physical experiments to study the impact features of ventilation regulator position and size on the local resistance coefficient. And the corresponding correction formula was put forward to guide the implementation of the mine ventilation network optimization regulation scheme.Based on the Visual C++、Visual Studio and SQL Server software develop platform the dynamic verification for ventilation ability and mine ventilation optimal adjustment software have been designed respectively. The coal mine dynamic ventilation ability variation rules was determined and the corresponding adjustment scheme to reduce the air leakage in goaf was proposed by using the two developed software in the actual intensive coal mine.