Intelligent Manufacturing Promotes The Overall Informatization Level Of Textile Industry

With China's economy entering a new normal situation, China's manufacturing industry is at a critical stage of pformation and upgrading.

After the introduction of the American industrial Internet and German industry 4, China put forward its own "

The main line of the overall strategy and program of action is the deep integration of information technology and manufacturing technology.

In the key innovation driven strategy, intelligent manufacturing is the core content. It is not only the main direction of the two integration, but also the industry.

The entry point.

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The integration of manufacturing technology with digital technology, intelligent technology and the new generation of information technology, facing the product life cycle, has the functions of information perception, knowledge acquisition, optimization decision-making and execution control. It is an efficient, quality, clean and safe manufacturing mode of products and services.

It takes automation and digitalization as its foundation and network interconnection as its support, highlighting the intelligent functions of knowledge acquisition, optimization and decision making, etc., to enhance the design, manufacturing, management and service level of products, and profoundly change the production mode and industrial form of manufacturing industry.

In the process of promoting the integration of the two technologies over the years, the textile industry is facing many difficulties and problems that have not been fundamentally solved. For example, the digitalization and intellectualization of the manufacturing links have been a difficult point and need to be breakthroughs.

The development and application of intelligent manufacturing and a series of new technologies are bound to bring new ideas and new paths to solve these problems, break through the bottlenecks of some key links, and promote the upgrading of the overall information level of the industry.

In the work plan of 2015, the Ministry of industry and Commerce has paid attention to the traditional industries. It has clearly chosen the application demonstration of Intelligent Manufacturing in the fields of steel, petrochemical, textile, light industry, electronic information and so on, and organized and implemented the intelligent process of key processes.

In view of the characteristics of the textile industry, the following aspects are discussed and studied in the following aspects: the scope and field of the textile intelligent manufacturing, the path and key points to be promoted. The status, importance, existing foundation and development ideas of different fields in intelligent manufacturing are mainly analyzed, so that we can take effective measures to promote it.

Intelligent equipment is the foundation and key point.

At present, digital control technology is widely used in textile equipment, such as PLC, digital signal processing chip, industrial control computer, frequency converter and servo controller are also common. Many network interfaces and on-line monitoring devices are configured.

The newly developed air-jet spinning machines such as Shaanxi Huayan, the efficient comber of Jiangsu Kay palace, the automatic doffing roving machine of Qingdao Seth globe, the self adaptive digital printing machine of Hangzhou Honghua, the high-speed double needle bed warp knitting machine of Changzhou five ocean, and the Ningbo Cixing automatic computerized flat knitting machine have achieved high digitization and automation level, and also have some intelligent functions.

On this basis, the requirement of intellectualization has become the focus of equipment users, and it is also the direction for spinning machinery enterprises.

If the Lixin high temperature air flow dyeing machine collects production data through sensors, it can calculate and analyze the changes of various colors in the process of washing through mathematical models, so that the equipment has an optimized washing function.

The new intelligent textile equipment should be able to realize the perception of its own working state; it has the self diagnosis function of fault type and location recognition; it has adaptive ability, can adjust according to the operation data, has communication function, and connects with the manufacturer platform through the Internet, so as to provide support for manufacturers to carry out remote service based on big data.

Product intelligence must be analyzed concretely.

Product intelligence is the biggest difference between the textile industry and other industries.

For example, the new machine tools, robots in the machinery industry, computers, mobile phones, sensors and other intelligent products in the electronic industry can be directly applied to various intelligent manufacturing systems. The intelligentization of automobiles, ships and construction machinery is the mainstream development direction of the products in the future.

For the textile industry, products are the ultimate consumer goods, smart clothing is the most typical representative, and this project is also a basic research project during the "12th Five-Year" period.

Smart clothing can be regarded as a part of smart wearable products, but has its own characteristics. Its intelligent functions are mainly divided into three ways: one is to develop smart fibers, to weave smart fabrics into clothing, and the other is to make ordinary fabrics with intelligent characteristics and make clothes through new dyeing or finishing finishing methods; three is to combine conventional clothing with external electronic intelligent components, and apply Internet technology to the two.

At present, the smart clothing of the hot smart wearable products belongs to the third category.

The products are equipped with perception, analysis and communication functions, supported by the mobile Internet, and have been included in the national intelligent manufacturing pilot demonstration project.

With the rapid development of high technology, smart clothing has entered into people's daily life. Various applications have gradually penetrated into communication, medical care, protection, sports, military, entertainment and other fields, and have certain potential for development.

The next step is to strengthen the combination of production, teaching and research, carry out key technology tackling problems, speed up the pformation of scientific research achievements, and make products truly go to the market.

Intelligent production process is the core.

After several years' efforts, intelligent production process has made significant progress and remarkable results in many production sectors of the textile industry.

Such as the E system of the latitude and longitude, covers the whole process of spinning and weaving from open cotton to drawing, roving, spinning and winding. The open source printing and dyeing MES MES system in Hangzhou has carried out omnidirectional management for on-line inspection, automatic control and automatic distribution of dyeing production processes. The automatic dyeing and dyeing system of Kangping NACHA has achieved automatic and continuous production lines, including dye auxiliaries automatic batching and automatic pmission of cheese, and Shanghai and Eagle have developed the whole process production system from three dimensions of human body to CAD, 3D virtual fitting, automatic tailoring, and hanging sewing.

The production process intelligent system is connected with intelligent equipment downwards and integrated with intelligent management software system. It provides essential support for intelligent new mode and new format, and is in the core position of intelligent manufacturing.

The next step is to build an online monitoring system, which can fully collect manufacturing site information, such as manufacturing progress, site operation, quality inspection and equipment status, establish real-time database of production process, and integrate with process control and production management system.

It is very important to realize the production model analysis of production planning and scheduling, quantify the process management, and dynamically track the cost.

The goal of the system is to achieve basic data sharing, process pformation, real-time online optimization, and comprehensively enhance the level of enterprise production resources optimization.