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Intelligent manufacturing promotes China's textile industry to high-end green development
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Intelligent manufacturing promotes China's textile industry to high-end green development

  • Author:张燕
  • Origin:中国信息产业网
  • Time of issue:2017-08-19 11:12

Intelligent manufacturing promotes China's textile industry to high-end green development

(Summary description)As a traditional pillar industry and an important civilian production industry, the textile industry is in a critical period of transformation and upgrading. The entire industry faces practical problems such as the disappearance of demographic dividends, rising raw material prices, increased environmental protection pressure, and shrinking exports. Facing the development dilemma, the textile industry actively seeks changes, and uses intelligent manufacturing as a means to open up the data flow of the entire textile industry chain and key links in production and manufacturing, and to carry out changes in production and business models to achieve a significant increase in labor productivity and production flexibility in the textile industry. The improvement, as well as the improvement of product quality and energy consumption, has promoted the development of China's textile industry to a high-end. Intelligent equipment supports green development

  • Categories:Industry news
  • Author:张燕
  • Origin:中国信息产业网
  • Time of issue:2017-08-19 11:12
  • Views:
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  As a traditional pillar industry and an important civilian production industry, the textile industry is in a critical period of transformation and upgrading. The entire industry faces practical problems such as the disappearance of demographic dividends, rising raw material prices, increased environmental protection pressure, and shrinking exports. Facing the development dilemma, the textile industry actively seeks changes, and uses intelligent manufacturing as a means to open up the data flow of the entire textile industry chain and key links in production and manufacturing, and to carry out changes in production and business models to achieve a significant increase in labor productivity and production flexibility in the textile industry. The improvement, as well as the improvement of product quality and energy consumption, has promoted the development of China's textile industry to a high-end.

  Intelligent equipment supports green development

  Under the background of rising labor costs, improving the digital and intelligent technology of textile equipment has become an important means for the textile industry to improve labor productivity and product quality stability. Anhui Huamao Textile and Jingwei Textile Machinery jointly developed the carding and carding equipment, which realized the continuous and automated production of the two processes of carding and carding, and adopted a domestically developed foreign fiber automatic sorter to open the card after opening. The cotton stream is scanned in all directions to remove foreign fibers such as chemical fibers and plastic films from the cotton stream. Jiangsu Dasheng established a digital spinning workshop, equipped with an intelligent logistics conveyor system, based on automatic guided trolleys and robots to complete the logistics, palletizing and packing work, reducing the number of 10,000 spindles from 50 to 20, and greatly improving labor productivity. With the increasingly strict environmental protection regulations and related standards, green development has become the guiding concept of the textile printing and dyeing industry. The waterless printing machine developed by Zhejiang Shaoxing Dongsheng Digital directly sprays dyes and auxiliaries onto the fabric under the control of the computer. No noise, waste water and waste gas are generated during the printing process. The intelligent printing and dyeing products developed by Jiangsu Changzhou Hongda Group can detect water consumption, sewage and exhaust emissions during the production process, effectively reducing pollution emissions and resource consumption.

  Supply chain collaboration improves resource allocation efficiency

  The overall market concentration of China's textile and apparel industry is relatively low, with SMEs as the mainstay, the information connection between upstream and downstream is not smooth, and generally face problems such as financing difficulties and inventory backlogs. Taking the supply chain finance as the starting point, Xunxian.com established a B2B e-commerce platform to provide free matching transactions to yarn manufacturers and demand companies, and used the transaction data accumulated on the platform to provide credit guarantees to help companies obtain banks. Loans from financial institutions.

  Xunxian.com earns profits by charging commissions on loan services, while yarn companies use the platform to solve the problem of capital turnover. As an industry leader, Jiaxin Silk is also creating Internet-based supply chain financial services. Silk products have obvious seasonal characteristics, and raw materials need to be stocked during the cocoon harvesting process, while small and medium-sized manufacturers are often unable to adequately stock due to shortage of funds. Jiaxin Silk has created a professional trading platform "China Cocoon Silk Trading Market" and established cooperation with banks to allow SMEs on the platform to obtain loans using silk raw materials as collateral. This model not only effectively solves the financing problems of SMEs, It can also better integrate supply chain resources.

  Online inspection and feedback to optimize textile process

  In the process of yarn dyeing, in order to ensure the accurate operation of process parameters, real-time detection of indicators such as temperature and dye level is required to adjust the production process. Lutai Textile has established an online detection and feedback system for the dyeing process, installed a temperature sensor on the dyeing machine, and achieved a constant temperature of the dyeing liquid according to the real-time temperature online detection and the adjustment of the pneumatic valve positioner. A differential pressure liquid level gauge is installed in the main tank of the dyeing unit to detect the dye liquid level in real time and serve as a basis for adjusting the size of the valve opening of the pipeline to achieve accurate liquid level control.

  Through on-line inspection, the sample rate and production efficiency of dyeing products are greatly improved. During the weaving process, there may be some defects in the fabric due to mechanical failure or operation errors. Textile companies traditionally use manual methods to detect fabric defects, which are not ideal in terms of detection accuracy, speed, and detection rate. Jiangsu Wuxi Xinjie developed the "Online visual inspection system for warp knitting machine fabric defects", based on machine vision, real-time detection of cloth defect during warp knitting process.

  Mass Customization Enhances User Experience

  Under the situation of overcapacity, the traditional textile and apparel production model generally encountered serious inventory problems. Ningbo Cixing, Zhejiang, built a flexible custom-made platform for knitwear, "Weaving and Wearable", allowing consumers to achieve tailor-made sweater sizes and personalized pattern customization at specific locations.

  Cixing has established a consumer member database, which collects and organizes body size data and personalized design data, and uploads them to the cloud platform to provide version support for personalized customization. Through the 3D scanning system, more than 80 physical information data can be collected in 5 seconds, which significantly improves the efficiency and accuracy of the body measurement link. The volume data is sent to the intelligent knitting equipment independently developed by Cixing, which can quickly complete customized production of single pieces or small batches, and deliver within 7 days.

 
From this, it can be seen that personalized customization has realized flattening and light inventory of sales and distribution channels, which has greatly improved the operating efficiency of the knitted sweater industry chain.
 

  Four major measures to promote intelligent manufacturing in the textile industry

  Intelligent manufacturing is an important starting point for the transformation and upgrading of the textile industry. The textile industry can start from four aspects to further accelerate the implementation of intelligent manufacturing:

 
  The first is to promote the development and application of intelligent textile equipment. Textile equipment is the basis for intelligent manufacturing in the textile industry and the carrier of the integration of new generation information technology and textile technology. The industrial application of intelligent textile equipment is the key to improving production efficiency and product quality. It should make full use of the existing funding channels to support enterprises in the development and promotion of new spinning and weaving equipment and new printing and dyeing equipment.
 
The second is to give full play to the leading role of the pilot demonstration. The Ministry of Industry and Information Technology has carried out smart manufacturing pilot demonstrations for two consecutive years, and a number of advanced models have emerged in the textile industry, such as the “Spindle Yarn Dyeing Smart Factory Pilot Demonstration” by Shandong Kangpingna Group and Ningbo Cixing ’s “Knitwear Intelligent Flexible Customization Platform Pilot Demonstration ", Etc., the successful experience and technology of leading companies should be fully summarized and promoted throughout the industry, so as to drive the overall improvement of the intelligence level of the textile industry.
 
  Thirty-third is to create a smart manufacturing talent team in the textile industry. Strengthen the training of intelligent manufacturing talents in the textile industry, cultivate a group of composite talents with both textile industry knowledge and intelligent manufacturing technology, and a group of high-quality professional talents who are good at intelligent equipment and system operation. Explore diversified talent training mechanisms and encourage textile companies to cooperate with universities to train intelligent manufacturing talents.
 
  The fourth is to build a public service platform for intelligent manufacturing in the textile industry. Through the deep integration of industry, university and research, promote the construction of a textile intelligent manufacturing public service platform, provide enterprises with services such as testing and verification of key technologies in the textile industry, transfer incubation, and professional technical consulting, strengthen service resource support, and accelerate the cutting-edge technology of intelligent manufacturing in the textile industry. Applications.
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