When traditional knitted fabrics are still fighting for a few cents of processing fees per meter, a transformation about 'yarn as device, fabric as terminal' is quietly brewing in Puyuan, Tongxiang. On August 19, the Exchange on Intelligent Knitted Fabrics and Future Applications was held here, sending a clear signal: the competitive dimension of the knitting industry is shifting from capacity and price to material science and system integration.
Event Background
This exchange was not an ordinary industry gathering. Experts including Seeram Ramakrishna, foreign academician of the Chinese Academy of Engineering, representatives from EPFL, Professor Li Li from HKUST, and Tian Mingwei, Dean of the School of Textile and Garment at Qingdao University, gathered to discuss topics such as nanofibers, thermally drawn multifunctional fibers, health-monitoring electronic textiles, and AI-empowered knitting. The event also featured university-industry cooperation signings, equipment donations, and corporate strategic agreements, accelerating the formation of a closed loop for research, development, and application in the Puyuan industrial belt.
Puyuan, as a highly influential knitting industry cluster in China, was historically known for sweaters and garment processing. Now it is attempting to turn its traditional manufacturing base into a testing ground for emerging technologies. Xie Qing, president of the China Knitting Industry Association, stated bluntly that the industry is at a critical stage of transformation and upgrading, and must proactively embrace AI and new materials to expand into incremental tracks such as healthcare and robotic bionics. This means knitting is no longer just an accessory to clothing, but could become a carrier of intelligent terminals.
Industrial Impact
Xie Qing's vision of 'yarn as device, fabric as terminal' is not conceptual hype. The health-monitoring intelligent electronic fabric devices developed by Qingdao University's team have already been applied in the National Astronaut Training Center, China Rehabilitation Science Institute, and pilot training centers, proving that medical wearables and intelligent monitoring are not just laboratory demonstrations but products with real demand. For buyers, this means the value assessment system for knitted fabrics needs to be reconstructed—no longer only looking at gram weight, composition, and color fastness, but also whether the fabric has sensing, energy storage, or signal transmission functions.
Li Lijun, vice president of Ningbo Cixing Co., Ltd., presented AI-empowered practices that further reveal the potential of precision knitting in medical textiles, smart wearables, and robotic e-skin. For factories, equipment intelligence and process digitization are no longer optional but are tickets to high-value-added tracks. Enterprises that master key technologies such as fiber integrated circuits and sensing yarns will have the opportunity to break free from the OEM chain and become material suppliers for medical and robotics industries.
However, cross-sector transformation is not smooth. Xie Qing emphasized the need to 'concentrate on core technology self-development' and 'deepen cross-industry collaborative ecosystem building,' which precisely highlights two major pain points: first, fiber-level device technology is still controlled by a few research institutions, and industrialization faces a gap; second, barriers between textile enterprises and electronics, medical, and robotics industries remain, and shared platform resources are still empty talk. The thermally drawn multifunctional fiber technology showcased by EPFL has broad prospects, but it is still far from mass production, reminding domestic enterprises to keep their feet on the ground while reaching for the stars.
Practical Recommendations
For Buyers - Re-evaluate suppliers' technical capabilities, prioritizing factories with R&D experience in sensing yarns and flexible electronic fabrics rather than simply comparing prices. - Pay attention to bidding information in medical, rehabilitation, and special equipment fields; intelligent fabric products have much higher premium space in these scenarios than ordinary apparel fabrics. - Establish joint development mechanisms with universities or research institutions to lock in early exclusive supply rights for technology transfer.
For Factories - Invest in intelligent equipment upgrades, introduce AI quality inspection and process optimization systems, and reduce reliance on skilled labor. - Collaborate with materials science teams to try embedding conductive fibers and micro-energy storage units into traditional knitted structures to develop differentiated samples. - Proactively connect with cross-industry clients in medical and robotics sectors, participate in industry exhibitions and matchmaking events, and break the mindset of 'only making apparel fabrics.'
The next round of growth in the knitting industry will likely not come from grabbing shares in traditional markets but from new demand generated by 'intelligent fabrics.' The Puyuan exchange may well be a footnote to the industry's watershed.