Textile machinery industry "14th Five-Year" implementation

Promotion and application of machine vision technology: Using dynamic 3D measurement method to solve the multi-surface characteristics and local anisotropy problems of textile flexible products such as yarn and fabric; The multi-feature and multi-cue target tracking algorithm based on the high-speed motion model can improve the success rate of tracking accuracy under the scenarios of target shape change and environmental disturbance. Strengthen the application and research of machine vision algorithm based on deep learning to improve the accuracy of online intelligent detection.

Research and application of digital twin technology: research on "human-machine-object-environment" interconnection and integration technology for textile physical workshop, and develop intelligent sensing access device for heterogeneous equipment; The construction technology of textile virtual workshop is studied, and the virtual workshop twin model of intelligent production of textile workshop is constructed. Research on textile equipment digital twin data construction and management technology; The intelligent production and precise management technology based on digital twin is studied to realize real-time control and analysis of product quality, optimization and prediction of workshop energy consumption, intelligent tracking and distribution of materials, intelligent production operation optimization and other functions.

Textile machinery common technology key project

Carry out research on mechanical dynamics of textile equipment, promote vibration and noise reduction technology, reliability improvement and life prediction technology of key components of textile equipment, machine vision technology, digital twin technology and other basic common technologies that have been researched and achieved results, and promote the application in textile equipment and textile production.

Research and application of key parts reliability improvement and life prediction technology: Based on the similarity theory, the parameter analysis model of key parts is established; Based on the reliability theory, the structure and strength fatigue life database of key components are established. The process parameters and quality inspection standards of key parts are put forward, and the fatigue life prediction model is established.

Promotion and application of machine vision technology: Using dynamic 3D measurement method to solve the multi-surface characteristics and local anisotropy problems of textile flexible products such as yarn and fabric; The multi-feature and multi-cue target tracking algorithm based on the high-speed motion model can improve the success rate of tracking accuracy under the scenarios of target shape change and environmental disturbance. Strengthen the application and research of machine vision algorithm based on deep learning to improve the accuracy of online intelligent detection.

Research and application of digital twin technology: research on "human-machine-object-environment" interconnection and integration technology for textile physical workshop, and develop intelligent sensing access device for heterogeneous equipment; The construction technology of textile virtual workshop is studied, and the virtual workshop twin model of intelligent production of textile workshop is constructed. Research on textile equipment digital twin data construction and management technology; The intelligent production and precise management technology based on digital twin is studied to realize real-time control and analysis of product quality, optimization and prediction of workshop energy consumption, intelligent tracking and distribution of materials, intelligent production operation optimization and other functions.

Textile machinery standard system key project

Textile machinery is in the upper reaches of the textile industry chain and runs through the entire textile industry chain, with a wide range of categories. The formulation, revision and adoption of textile machinery and accessories standards is the basis for improving the production efficiency and product quality of the textile industry, and plays a pivotal supporting role in realizing a textile power.

Textile machinery intelligent manufacturing standard system construction: According to the characteristics of textile process equipment, starting from the top-level design and information interoperability requirements, declare a series of information interconnection and interoperability standards covering the entire textile process equipment and manufacturing system, propose the interconnection system architecture and a series of standard architectures, and formulate specifications for textile equipment interface specifications, communication protocols, information modeling requirements, data dictionary requirements, protocol mapping requirements, etc. To guide the development of intelligent manufacturing technology and the establishment of standards.

Integration and optimization of textile machinery industry standards: In the national standards and industry standard plan declaration work, focus on the organization of the industry's important products, technology, industry management, industrial low-carbon and green manufacturing standards and other standards, attach importance to the standard age of more than 5 years of standard revision work, strictly control the scale of new industry standards, improve the coverage of single industry standards.