As labor bonded fabrics costs continue to increase, fun […]
As labor bonded fabrics costs continue to increase, functional textile companies are increasingly demanding equipment automation and intelligence levels. In this context, smart manufacturing is becoming the breakthrough and focus of a new round of transformation and upgrading in the industry. Exhibiting equipment has greatly improved in terms of automation and intelligence. For example, the sizing machines exhibited at the 2018 Textile Machinery Exhibition have extensively applied Internet technology, cloud technology, information processing and other technologies to enhance the level of intelligence of the equipment.
For another example, the automatic drawing-in equipment that has attracted everyone's attention has not only applied a large number of non-contact optical detection technologies to realize automatic yarn-free warping, but also adapted to the requirements of complex technologies such as colored yarn management and drawing-in warping; At the same time, it also improved the man-machine interface and management software, providing a good equipment foundation for the modern production and management of the weaving workshop. In fact, the intelligent functional textile technology is transforming the traditional textile industry, and some companies have begun to try to make part of the manufacturing process intelligent.
Although some enterprises have not replaced or newly installed complete sets of equipment with a high degree of automation on a large scale, the upgrading of equipment through key links has also significantly improved product quality and production efficiency. To a certain extent, the intelligent equipment has solved the problem of insufficient labor and improved the competitiveness of China's textile industry. But in the process of developing intelligence, there are indeed certain problems that deserve to be considered and discussed by the industry. On the one hand, many entrepreneurs believe that the current simple machine substitution in the textile industry is not intelligent manufacturing.
In the true sense of intelligent manufacturing, big data is used for accurate calculation and judgment instead of human brain decision-making, and investments such as machine substitution are for functions Whether the sex textile industry is cost-effective is debatable. A series of costs such as machine investment, maintenance, and upgrades are not low. Whether textile companies can absorb such expensive input is also a problem that cannot be ignored. On the other hand, as a labor-intensive industry, on the one hand, intelligence can promote local investment and industrial upgrading, on the other hand, it means that a large number of workers may lose their jobs. How to resolve the contradiction between the two is worth further discussion.