目前国内大多数采煤机依然靠工人手动操作采煤机割煤，工人劳动强度大，安全性较低，实现综采工作面三机自动化工作可以提高采煤效率和作业安全性，能够减轻工人劳动强度，减少不安全事故的发生。采煤机自动调高技术是实现采煤工作面三机自动化工作的关键技术之一，因此，有必要对采煤机自动调高技术进行深入研究，进而提高综采工作面的自动化水平，为煤矿安全生产和高效生产提供技术保证。 本文通过研究采煤机调高机构的结构和调高液压系统的工作原理，分析滚筒高度和油缸行程的关系，建立采煤机滚筒调高系统模型。分析目前主流自动调高控制的优缺点，提出研究采煤机自动调高控制技术的关键问题，通过对采煤机姿态定位和位置定位的研究建立了采煤机记忆截割模型，并研究分析采煤机运行中滚筒负载和振动变化的规律，针对目前记忆截割方式的自动调高控制存在适应性较差的问题，提出了记忆截割轨迹优化方案。对数据融合技术的工作原理和流程进行研究，结合BP神经网络算法辨别记忆截割路径上记忆点的截割介质，调节记忆点上滚筒高度的记忆值，重新规划记忆截割路径，达到优化记忆截割路径的目的。依据自动调高的理论分析设计了自动调高控制系统，并进行了安装现场模拟实验和工业性实验的分析。 通过安装现场的模拟实验和采煤机工作面的工业性试验，表明在记忆截割自动调高控制过程中通过对记忆点状态的监测来优化记忆截割规划路径，能更好的控制采煤机进行自动调高，达到了预期的功能。

At present, most of the domestic shearers still rely on manual operation of shearers to cut coal. The labor intensity of workers is high, and the safety is low. To realize the automatic work of three machines in fully mechanized coal mining face can improve the mining efficiency and safety, reduce the labor intensity of workers and reduce the occurrence of unsafe accidents. The automatic height adjustment technology of shearer is one of the key technologies to realize the automation of three machines in coal face. Therefore, it is necessary to study the automatic height adjustment technology of Shearer in depth, so as to improve the automation level of fully mechanized coal face and provide technical guarantee for coal mine safety production and efficient production. This paper studies the structure of shearer height adjustment mechanism and the working principle of height adjustment hydraulic system, analyzes the relationship between the height of the drum and the stroke of the cylinder, and establishes the shearer drum height adjustment system model. This paper analyzes the advantages and disadvantages of the mainstream automatic height control at present, puts forward the key problems of the automatic height control technology of shearer, establishes the shearer memory cutting model through the study of the attitude and position positioning of shearer, and studies and analyzes the law of the change of the shearer drum load and vibration in operation, aiming at the current memory. There is a poor adaptability in the automatic adjustment of cutting mode, and a memory cutting trajectory optimization scheme is proposed. The working principle and flow of data fusion technology are studied, and the cutting medium of memory points on the cutting path is identified by BP neural network algorithm. The memory value of the drum height on the cutting path is adjusted, and the cutting path is re-planned to optimize the cutting path. According to the theory of automatic height adjustment, the automatic height adjustment control system is designed, and the installation field simulation experiment and industrial experiment are analyzed. Through the simulation experiment of the installation site and the industrial test of the shearer working face, it is shown that in the process of automatic heightening control of the memory cutting, through the detection of the state of the memory points to optimize the memory cutting planning path, the shearer can be better controlled for automatic heightening, and the expected function is achieved.