基于SD的采煤面瓦斯浓度综合管控优化研究

Study on Management Measures Optimization on Gas Concentration in Coal Mining Faces Based on SD

为实现采煤面瓦斯浓度管控措施的组合优化,基于系统动力学理论(SD),构建了采煤面瓦斯浓度变化的因果关系结构和综合管控系统结构。分析采煤面瓦斯浓度的系统动力学行为,阐明瓦斯浓度随生产活动调整的变化规律,提出瓦斯浓度综合管控措施的优化方法。研究表明:影响采煤面瓦斯浓度的活动因素主要为单产、通风和瓦斯抽采,影响次序为单产、瓦斯抽采、通风;瓦斯浓度的动力学行为呈指数变化的振荡模式;利用非线性规划可实现瓦斯浓度管控措施的组合优化。将研究成果应用于矿井工作面瓦斯浓度的管控中,通过降低单产87 t/d,提高瓦斯抽采量8 m3/min,加大回风巷风量93 m3/min的组合优化策略,使工作面瓦斯浓度从0.44%～0.76%降低为0.22%～0.51%,有效预防了瓦斯事故的发生。

In order to realize the combination optimization of coal mining face gas concentration control measures, based on the system dynamics, the causal relationship structure of gas concentration change and the structure of gas concentration control system were established. The system dynamic behavior of coal seam gas concentration was analyzed, the change law of the gas concentration in the coal mining face with the adjustment of production activity was clarified, and a scientific prediction method of gas concentration and an optimization method of comprehensive control measures were proposed. Results showed that, the factors that affected the change of gas concentration in coal mining face mainly were: yield, ventilation and gas extraction, and the order of influence was yield, gas extraction, ventilation;the dynamic behavior of the gas concentration was exponential oscillatory mode;the combinatorial optimization of the comprehensive control measures of gas concentration could be realized by the nonlinear programming method. Applying the research results to the working face of coal mine, by the combination optimization strategy of reducing the yield per unit area of 87 t/d, increasing the gas extraction capacity of 8 m3/min, and increasing the air volume of return air lane of 93 m3/min, the gas concentration in the working face was reduced from range 0.44% to 0.76% to range 0.22%to 0.51%, which effectively prevented gas accidents.