The intelligent manufacturing equipment industry has long placed emphasis on technology, which makes the manufacturing technology increasingly mature, but its external form is relatively backward. In response to this problem. A test study was carried out on different kinds of experimental subjects. First, the eye tracking control algorithm is combined with VR simulation technology, a local adjustment effect experiment was performed on the host equipment of the three microelectronics technology. Then, by analyzing the evaluation indexes such as the total fixation duration, average fixation duration and fixation frequency of three equipment plans to determine the core visual orientation, the pros and cons of the scheme can be analyzed through intuitive data. Finally, the best decisionmaking control algorithm is adopted to improve the design efficiency of industrial intelligent manufacturing construction. The experimental results verify the feasibility of the eye tracking control algorithm in intelligent manufacturing equipment, and can significantly improve the quality and efficiency of intelligent manufacturing equipment.