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The automation and intelligent equipment on the tall and the high makes the textile industry a member of the high-tech industry, and provides a more effective solution for the industry to further attract talents and solve the bottlenecks such as recruitment difficulties. It is undeniable that intelligence has become a trend and an irreversible trend.
"Made in China 2025" pointed out that smart manufacturing will become the main direction of Chinese manufacturing. It is worthy of recognition that in recent years, China's textile industry has achieved gratifying results in smart manufacturing.
Intelligent manufacturing is the trend of the times
With the continuous increase of labor costs, textile enterprises are increasingly demanding the automation and intelligence of equipment. In this context, smart manufacturing is becoming a breakthrough and focus of the industry's new round of transformation and upgrading.
For example, the automatic wear-through equipment that attracts everyone's attention, in addition to a large number of non-contact optical detection technologies, realizes the automatic pick-up of the untwisted yarn, and also meets the requirements of complex technology such as color yarn management and warp-piercing; It also improved the human-machine interface and management software, providing a good equipment foundation for the modern production and management of the weaving workshop.
Thinking about intelligent manufacturing
To a certain extent, the intelligentization of equipment has solved the problem of insufficient labor and improved the competitiveness of China's textile industry. However, in the process of developing intelligence, there are still certain problems, which 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, intelligent manufacturing replaces human brain decisions with accurate calculation and judgment of big data, while investment like machine substitution is for textiles. Whether the industry is worthwhile is worth discussing. A series of costs such as machine investment, maintenance and upgrade are not low. Whether textile enterprises can digest such expensive investment is also a problem that cannot be ignored.
On the other hand, as a labor-intensive industry, intelligence can stimulate local investment and promote industrial upgrading. On the other hand, it means that a large number of workers may lose their jobs. How to solve the contradiction between the two is worth further exploration.
For intelligence, the current government-level guidance direction includes the following four points: establishing demonstration zones; improving smart manufacturing standards; promoting smart manufacturing supplier alliances; and developing Internet+, big data and artificial intelligence.
At present, the intelligentization of the textile industry has achieved some gratifying results. At the level of the Ministry of Industry and Information Technology, between 2015 and 2017, a total of 12 projects were included in the “Smart Manufacturing Pilot Demonstration Project”; from 2016 to 2017, a total of 6 projects were included. Intelligent manufacturing integrated standardization project; 10 projects were included in the intelligent manufacturing new model application project.
Guangdong Modern High-Tech Fiber Co., Ltd. is a professional manufacturer engaged in the research, development, production and sales of PP yarn. At present, it has established more than 70 polypropylene FDY production lines, 8 POY production lines, 2 DTY production lines and other production and research equipment. It produces more than 30,000 tons of PP yarns with different specifications and functions. It has become a PP yarn manufacturer with large actual production in China. The products are sold well in various provinces and exported to Asia, Europe, America, Middle East, Oceania and South America. The region provides better products for domestic and foreign customers.