Journal of Textile Research ›› 2023, Vol. 44 ›› Issue (08): 205-216.doi: 10.13475/j.fzxb.20220305802

• Comprehensive Review • Previous Articles     Next Articles

Current status and prospect of intelligent development in textile industry

ZHENG Xiaohu1,2(), LIU Zhenghao3, CHEN Feng4, ZHANG Jie1,2, WANG Junliang1,2   

  1. 1. Institute of Artificial Intelligence,Donghua University, Shanghai 201620, China
    2. Shanghai Industrial Big Data and Intelligent Systems Engineering Technology Center, Shanghai 201620, China
    3. College of Mechanical Engineering,Donghua University, Shanghai 201620, China
    4. Jingwei Textile Machinery Co., Ltd., Beijing 100176, China
  • Received:2022-03-17 Revised:2022-11-01 Online:2023-08-15 Published:2023-09-21

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Abstract:

Significance With the start of a new round of technological revolution and industrial advancement, China's textile industry has stepped into a new stage of high-quality development. This paper provides a comprehensive overview of the development and application of artificial intelligence technology in the textile industry and explores the tasks and goals of future intelligent development. Based on the latest global developments in digitalization, networking, and intelligence in the textile industry, it analysed the current technical challenges and summarised the key technologies urgently needed in the textile industry. Typical application cases and production models were introduced such as whole-process intelligent textile production lines, intelligent operation and maintenance of textile equipment, and intelligent textile testing. The core technological challenges facing the Chinese textile industry and the development directions of the industrial ecology were to be reviewed. Ideas on developing a new generation of textile-intelligent manufacturing systems and creating an intelligent textile ecology with the collaboration of the whole industrial chain were presented.

Progress At this stage, the Chinese textile industry intelligent manufacturing is in a critical period of digital, networked, and intelligent development (Fig. 1). The critical technologies related to the intelligence of the textile industry are developing rapidly, and big-data technology for the whole textile production process is being applied rapidly (Fig. 2). Digital-twin technology in the textile industry is applied to intelligent garment design and intelligent textile factories (Fig. 3 and Fig. 4). As automated equipment replaces manual labor in typical textile processes, robots in the textile industry have become an essential part of intelligent production. Machine vision technology based on deep learning plays a role in the intelligent control of textile equipment and intelligent inspection of textile quality scenarios (Fig. 5). Intelligent scheduling technology based on machine learning effectively improves the production efficiency of textile enterprises. Based on these technologies, typical examples of intelligent applications in the textile industry have emerged. A data-driven intelligent operation and maintenance system for high-speed winders (Fig. 6), enables data-based intelligent fault diagnosis and remaining life prediction of equipment. The "edge-cloud" collaborative fabric defect detection system enables the detection and identification of a wide range of fabric defects. Xinfengming Group realizes the intelligence of the whole production chain based on 5G and product identification resolution technology (Fig. 7). Wuhan Yudahua's 100000-spindle full-process intelligent spinning line solves the discontinuity problem between some of the ring spinning processes, with an automation rate of over 95% (Fig. 8).

Conclusion and Prospect China's textile industry has made a breakthrough in digitalizing equipment, networking, and workshop intelligence. Significant progress has been made in improving quality and efficiency and optimizing the industrial structure. However, a series of standards system for intelligent manufacturing in the textile industry has yet to be established. In the field of cotton spinning, for example, there are still breakpoints in the automated production of the whole process. The quality traceability of the whole process of product production needs to be strengthened. Data processing and other software are primarily selected from general software developed by information technology developers, which is challenging to meet the precise professional needs of spinning enterprises. The core equipment and industrial software in the field of textiles have not yet formed the technical support capacity, from the true meaning of "intelligent" still has a large gap. The intelligent textile ecology of the whole industrial chain needs to be established. Developing a new generation of intelligent textile manufacturing systems should be based on the study of intelligent textile process, intelligent textile equipment as the focus of development, and intelligent equipment collaboration as the core. At the same time, through the construction of a textile innovative factory demonstration production model, the development of critical technologies of the textile industry Internet, the construction of a blockchain-based networked collaborative rapid response service system, the creation of the whole industry chain collaborative textile intelligent ecology, improve the rapid response service capacity, to achieve the development of the textile industry multi-cluster synergy.

Key words: textile industry, textile intelligence, textile intelligent factory, smart manufacturing, industrial intern

CLC Number: 

  • TP18

Fig. 1

Status quo of intelligent development of textile industry"

Fig. 2

Textile big data application mode"

Fig. 3

Clothing design technology based on digital-twins"

Fig. 4

Spinning smart factory reference model based on digital-twin technology"

Fig. 5

Application of machine vision in textile sector"

Fig. 6

Fabric defect detection system based on machine vision"

Fig. 7

Xin Fengming group 5G intelligent monitoring robot"

Fig. 8

Yu Dahua Group intelligent spinning management system"

Fig. 9

Prospects for intelligent development of textile industry"

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