In 2017, the company established a provincial-level post-doctoral workstation to focus on the “Research and Application of Intelligent Inspection Technology for Polyester Filament Quality Based on Machine Vision” project, to further strengthen industry-university-research cooperation, accelerate the pace of transformation and upgrading, and create a new situation in the company's scientific research and development. 2019 Xinfengming Group Huzhou Zhongshi Technology Co., Ltd. established a provincial doctoral workstation. The project intends to solve the online detection technology of chemical fiber yarn tension, the real-time fault warning technology of the winding machine based on convolutional neural network, and the dynamic prevention of the winding machine based on reinforcement learning. Sexual maintenance strategy. The implementation of this project is expected to reduce the defective product rate of chemical fiber products by more than 20%, and the maintenance cost of the winding machine by more than 20%; realize the online monitoring of the chemical fiber winding machine during the production process, which can quickly find production problems and solve them in real time. Plan to improve the production management level of the enterprise; predict the failure of the winding machine in advance, which will greatly improve the utilization of materials and shorten the production cycle, and increase the resource output rate and energy utilization rate. This project studies preventive maintenance methods for key chemical fiber equipment, implements the national industrial policy of functional polymer materials, and meets the market demand for functional polymer materials. The intelligent preventive maintenance method of the winding machine obtained by the project will greatly improve the production quality and efficiency of chemical fiber, meet the needs of my country's chemical fiber market, promote the implementation process of the national functional polymer material industrial policy, and provide intelligent technology for various smart factories support.