Abstract: The on-site use of tunneling machines by Shanxi Fenxi Mining Group Shuiyu Coal Industry Co.,Ltd.has problems such as low cutting control accuracy and large positioning errors,which seriously affect the quality and speed of coal mine tunnels,and restrict the production and efficiency of coal mines.According to the actual situation of the mine,a multiple technologies fusion of machine vision technology and optimized PID control is adopted to design an automatic cutting control system scheme for roadheaders.The application results show that when the movement position of the roadheader is inconsistent with the set trajectory,the PID controller will automatically adjust the cutting arm position of the roadheader,which improves the problem of relatively large errors existing in traditional cutting;And the optimized PID control algorithm is achieved millimeter level control accuracy for the cutting head of the roadheader,with stable system output response characteristics and relatively strong resistance capability to external interference.The maximum angle control error is only 0.79°,meeting the current roadheader control accuracy requirements.