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    5G, What Will Happen To The Textile Industry?

    2019/7/3 11:42:00 4

    5GTextile

    Some time ago, the Ministry of industry and Commerce issued 5G commercial licenses to China Telecom, China Mobile, China Unicom and China Radio and television. China's 5G commercialization process will be greatly ahead of schedule, and this year is expected to become the first year of 5G in China.



    The coming of the age of 5G has triggered people's reverie for future changes. 5G application has become a hot topic, such as 5GAR/VR and 5G.


    What changes can the advanced 5G technology bring to the manufacturing industry? I believe this is what many textile people are most eager to know. Today, I would like to share with you the impact of 5G on the textile industry in the future.


    One


    What is 5G?



    5G is the fifth generation of communication technology. Compared with 4G, 5G has the characteristics of super high speed, ultra low delay and ultra wide connection, so 5G is a revolutionary technology. The network delay of 5G can be as low as 1 milliseconds, much faster than the human stress response (such as the automatic braking faster than the human reaction), and lessen the vertigo caused by VR. Therefore, it can be widely used in the field of automatic control, such as driverless, industrial control, remote operation and maintenance.


    According to the survey data, it is estimated that by 2035, the industry that promotes productivity by means of 5G will create an output value of $12 trillion worldwide, and 22 million jobs will be created directly or indirectly. Even Trump claimed that 5G is a game that can not be lost. Ren Zhengfei said in an interview that HUAWEI's technology is ahead of the world in 2~3, so it is not surprising why the United States will take various measures to restrict HUAWEI.


    Two


    Textile + intelligent manufacturing +5G=?



    Industrial 4 is also known as the fourth industrial revolution. A very important part of it is intelligent manufacturing. Intelligent manufacturing has now become a global topic and a national strategic issue. Many countries have planned and deployed in the field of intelligent manufacturing, such as China's "made in China 2025", Germany's "industrial 4 Platform", and the US "industrial Internet plan".


    What is intelligent manufacturing?


    In the broad sense, intelligent manufacturing is a general term for advanced manufacturing processes and systems and models with the functions of information perception acquisition, intelligent decision making and automatic execution. Specifically, intelligent manufacturing is embodied in the integration of all aspects of the manufacturing process and information technology, such as big data, cloud computing, artificial intelligence, and technology of things.


    In short, intelligent manufacturing has the following characteristics: intelligent factory as the carrier, intelligent manufacturing of key manufacturing links as the core, end-to-end data flow as the foundation, and communication network as the foundation. Through the self-organizing flexible manufacturing system, the goal of efficient individualized production is achieved.


    The manufacturing industry, especially the textile industry, plays a vital role in the national level and even in the entire human society. Therefore, the textile industry is gradually introducing the technology of "industry 4" to the development of electrification, automation, digitization and intellectualization.


    There is no doubt that the implementation of 5G technology will play an important supporting role in the field of intelligent manufacturing, such as Internet of things, industrial automation control, logistics tracking, industrial AR, cloud robots, and so on. Therefore, the textile industry in the future will create an unprecedented intellectual revolution through the combination of 5G technology and intelligent manufacturing.


    Change one: information and data between devices



    All devices are linked together through the Internet of things, and real-time monitoring of various indicators in the spinning process. Based on the powerful database and artificial intelligence algorithm, the abnormal index of yarn is rapidly reacted, and the production efficiency is greatly improved.


    Change two: the popularity of industrial robots



    The Internet of things will connect the processors and sensors on the production site, enabling the robot to communicate and communicate with each other, and the work of machines and people will no longer be strictly divided. The future manufacturing system will integrate people and machines together.


    It is conceivable that the future 5G factories will be orderly robots that run through the spinning machines. The pictures that will appear in this movie may not be far away from us.


    Change three: remote maintenance of equipment


    Based on 5G technology and robot, remote maintenance of equipment can be realized. With the characteristics of 5G low latency and AR technology, engineers can remotely operate robots to maintain equipment, greatly reducing maintenance time and labor costs.


    Change four: interaction and coordination between robots and devices



    In the future, 5G will achieve unprecedented interaction and coordination between industrial robots and industrial robots and machine equipment in the process of intelligent manufacturing. In flexible manufacturing mode, 5G will meet the high requirements of flexible mobility and differentiated business processing of industrial robots.


    With the introduction of intelligent manufacturing scenario, the demand for wireless communication network in textile industry has emerged. 5G network can provide diversified and high quality communication guarantee for highly modular and flexible production systems. Compared with traditional wireless network, 5G network has prominent advantages in low delay, high-density connection, reliability and network mobility management. It is the key to enable intelligent manufacturing in traditional textile industry.

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