When traditional knitted fabrics begin to carry signal transmission and energy storage functions, the boundaries of this millennia-old industry are being redefined. On August 19, a technical exchange conference in Puyuan, Tongxiang, Zhejiang, shifted industry focus to crossover tracks such as AI-driven knitting, flexible sensing, and robotic e-skin. The signals from the conference are clear: knitting is no longer just a synonym for apparel, but is poised to become the physical carrier of next-generation smart terminals.
Industry Trend: From Weaving Cloth to Weaving Circuits
Xie Qing, president of the China Knitting Industry Association, put forward a forward-looking judgment: future knitted fabrics will become native flexible electronic systems integrating sensing, signal transmission, micro-energy storage, and feedback control, realizing 'yarn as device, fabric as terminal.' This means that traditional looms will no longer produce just cloth, but semi-finished products with computing and interactive capabilities. For buyers, the criteria for selecting fabric suppliers will expand from weight and composition to entirely new dimensions such as conductivity, integration, and durability.
The technical roadmap disclosed at the conference shows that multidisciplinary crossover has become the main innovation axis. Seeram Ramakrishna, a foreign academician of the Chinese Academy of Engineering, analyzed the application paths of nanofibers in non-invasive health monitoring. Representatives from EPFL showcased hot-drawn multifunctional fiber technology online, which can play roles as conductors and sensors in flexible electronics and smart textiles. Professor Li Li from HKUST emphasized the importance of interdisciplinary design for commercial translation from a business perspective. These signals collectively point to a trend: the technical threshold of the knitting industry is migrating from textile processes to microelectronics and materials science.
Landing Scenarios: Medical, Aerospace, and Robotics
The industrialization cases disclosed at the conference demonstrate the practical application potential of smart knitted fabrics. Tian Mingwei, dean of the School of Textile and Garment at Qingdao University, shared achievements in health-monitoring electronic fabric devices, which have entered special scenarios such as the National Astronaut Training Center, China Rehabilitation Science Institute, and pilot training centers. This means knitted sensing fabrics have moved from the laboratory to high-reliability professional fields, with preliminary validation of stability and precision. Li Lijun, vice president of Ningbo Cixing Co., Ltd., introduced explorations of AI-enabled precision knitting in medical fabrics, smart wearables, and robotic flexible e-skin, indicating that equipment manufacturers are shifting from selling machines to providing integrated solutions of 'weaving plus algorithms.'
For downstream factories, the implication is that differentiated competition no longer relies on patterns and prices, but on whether they can enter high-value-added niche markets such as medical, rehabilitation, and special protection. If demand for robotic flexible e-skin continues to grow, it will directly drive upstream material procurement of conductive yarns and micro-sensors, forming new supply chain nodes.
Collaborative Mechanism: Ecosystem Restructuring Behind Signings
The industry-academia-research cooperation signing, scientific equipment donation, and corporate strategic cooperation signing ceremonies held during the conference reflect the industry's attempt to break barriers through institutionalized collaboration. As an important domestic knitting cluster, Puyuan has complete industrial chain support and dense SME concentration, providing fertile soil for technology pilot testing and rapid iteration. However, cross-domain collaboration still faces challenges of standard absence and data interoperability—reliability testing and safety certification for flexible electronic devices lack unified norms, which may become hidden risks in procurement decisions.
For practitioners, current layout should focus on high-barrier, high-premium scenarios. Medical monitoring fabrics require biocompatibility certification, while robotic e-skin needs mechanical durability and signal consistency. These areas, though with high thresholds, are less vulnerable to low-price competition. At the same time, enterprises should pay attention to upstream shortcomings such as fiber integrated circuits and sensing yarns, securing first-mover advantages through joint research with universities or investing in startups.