关键词: 综采工作面, 多目标优化, 工艺参数优化, 遗传算法, 深度学习, 神经网络

Abstract: Taking the production process of fully mechanized coal mining face as the research object, aiming at the complex mechanism of the process, difficult to establish mathematical models and other problems, through data mining and deep learning technology, mining hidden laws in data, through intelligent modeling technology and multi-objective optimization technology, the process control parameters are simulated according to the comprehensive production index of the mine, the optimization model of process parameters is established, and the model is trained by massive historical data, in order to improve the production efficiency of working face, the optimized and reasonable process control parameters are selected, in order to reduce the production cost and energy consumption, improve the production efficiency to provide intelligent decision-making scheme, mining staff to provide auxiliary decision-making methods.