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What Potential Value Will Be Released By The Classification And Classification Of Industrial Data When Nine Textile And Clothing Enterprises Are Listed In The Pilot Project Of MIIT?

2020/7/27 17:41:00 0

Textile And Clothing EnterprisesThe Ministry Of Industry And Information Technology Pilot

    

Data driven improves efficiency significantly

The enterprises selected in the industrial data classification and classification application pilot list of the Ministry of industry and information technology are all enterprises with good integration of industrialization and industrialization in the industry, and have actively explored the construction of intelligent management system.

Located in Keqiao District, Shaoxing City, Zhejiang Province Shaoxing Yingli printing and dyeing Co., Ltd Production scale is not large, but enterprises have been actively exploring the road of intelligent printing and dyeing.

Developed by Beijing Technology Co., Ltd "Textile Industry Internet platform" Printing and dyeing in English is fully online. This "industrial Internet platform" called textile brain makes the whole production process of English printing and dyeing truly digital. Just click the mouse and select a dyeing machine cylinder, and all the real-time working condition data of the cylinder will be displayed in a table or bar chart. The manager can also quickly judge what is wrong with a certain cylinder through the deviation range of production curve and specific parameters on the screen.

Wang Wenjun, general manager of English printing and dyeing Co., Ltd Introduction, After the "intelligent printing and dyeing" system of digital technology was put into operation, the number of washing cylinder was reduced by more than 45%, and the equipment utilization rate was also significantly improved 。 "In the past, we used to do single production scheduling manually, which often took an hour. Now it only takes a few minutes to complete it quickly. In particular, in case of special circumstances such as inserting orders, the high-quality and efficient production scheduling adjustment can be completed within 5 minutes, and the cost of energy consumption, cylinder washing switch and labor force can be significantly reduced, and the cost can be directly reduced by at least 1 million yuan / year. "

Wang Wenjun said: "compared with the previous mode of relying on offline labor to promote the operation of the process, now the workers use mobile phone intelligent terminal as the working platform. Compared with the fixed terminal, the hardware investment cost is reduced by 80%, and the business process is obviously simplified. The workers' reporting operation is very simple, and the management cost is significantly reduced. The current basic data is consistent with our actual business situation. Today, the production schedule is real-time and transparent, and the risk can be early-warning in time, and the efficiency of the whole plant work is significantly improved under the drive of data. "

It is reported that, Beijing Digital Technology Co., Ltd Is a textile focused industrial Internet solutions provider In view of the four major problems of cost, quality, delivery time and environmental protection that are most concerned by the printing and dyeing industry, combined with big data precipitation and self-learning, intelligent optimization suggestions are formed, and information islands such as ERP, MES, PLM and equipment system are fully opened "Intelligent production scheduling", "intelligent monitoring" and "smart energy" and other new generation of technology products can truly achieve the goal of reducing cost and increasing efficiency.

according to Huang Fuxin, vice president of Beijing Digital System Technology Co., Ltd Introduction, For an enterprise with an annual output value of 200-500 million yuan, such as English printing and dyeing company, through the intelligent management system to improve efficiency and reduce costs, it can directly increase benefits by 5 million to 8 million yuan per year.


Data classification and classification promotion and deep integration of manufacturing industry

According to the guide to classification and classification of industrial data (Trial), the goal of industrial data classification and classification is to improve the ability of enterprise data management, adhere to the combination of problem-oriented, goal-oriented and result oriented, the combination of enterprise subject, industry guidance and territorial supervision, and the combination of classification identification, classification grading and hierarchical management.

Combining with the production and manufacturing mode, platform enterprises and service operation mode, enterprises analyze and sort out the business process and system equipment, consider the actual situation such as industry requirements, business scale, data complexity, etc., classify and identify the industrial data, and form a classified list of enterprise industrial data. According to the potential impact on industrial production and economic benefits after different types of industrial data are tampered with, damaged, leaked or illegally used, the industrial data are divided into three levels: Level 1, level 2 and level 3. Enterprises are encouraged to share primary and secondary data properly on the premise of data management, so as to fully release the potential value of industrial data. Secondary data is only available to authorized institutions and relevant personnel who really need to obtain such data. In principle, the three-level data shall not be shared. If it is necessary to share, the scope of knowledge shall be strictly controlled.

It is of great significance to carry out industrial data classification and classification, which is reflected in several aspects everything It is helpful to strengthen the enterprise's awareness of data application, guide the enterprise to carry out data management and enhance the awareness of data application by carrying out data classification and classification, which is conducive to enterprises to comprehensively sort out their own industrial data types, promote the full use of data, global flow and orderly sharing, and comprehensively improve the ability of enterprise data management and the understanding of the importance of industrial data. Second, it is It is helpful to improve the level of industrial data management and application. It is necessary to speed up the integration of data acquisition and data sharing, and to promote the development of data mining and data sharing Height. Third, it is It is conducive to promoting the implementation of industrial data classification and classification from the operational level. The guide provides strong policy guidance and theoretical basis for enterprises to effectively excavate data value and accelerate the transformation of production mode in the industrial field. It also clarifies the main responsibilities and relevant requirements of enterprise classification and classification, as well as the responsibilities of local industrial and information competent departments, so as to facilitate the deficiencies in data management of benchmarking tables, improve the ability of enterprise data management, and effectively mine data value and realize Enterprise production mode transformation.


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