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为实现对采煤机截割煤岩过程中粉尘质量浓度的最优控制,开发一种基于多参数耦合匹配优化的采煤机智能降尘控制方法。以最低粉尘质量浓度为目标,以牵引速度、滚筒转速以及截割深度为变量,建立采煤机最优降尘控制的多参数耦合优化匹配模型;采用迭代优化方法,结合优化终止判定条件,得到最低产尘量时的采煤机多工作参数优化结果。采用综采面3机配套模型进行截割控制与测试试验。结果表明,在采煤机多参数迭代优化过程中,粉尘质量浓度快速下降收敛,优化前后粉尘质量浓度分别为632和158 mg/m3,降尘效率达到75%。
In order to realize the optimal control of dust mass concentration during shearer cutting of coal and rock, a smart dust control method based on multi-parameter coupling optimization is developed. Taking the minimum dust concentration as the target, the multi-parameter coupling optimization matching model of the optimum dust control of shearer was established by taking the traction speed, the rotating speed of the drum and the cutting depth as the variables. The iterative optimization method and the optimized termination judgment condition were used to obtain the lowest Optimum results of multiple working parameters of shearer when producing dust. Using fully mechanized face 3 machine supporting model for cutting control and testing. The results show that during the multi-parameter optimization of shearer, the dust mass concentration declines rapidly and converges. The dust concentrations before and after optimization are 632 and 158 mg / m3, respectively, and the dust reduction efficiency reaches 75%.