"Suddenly like the spring breeze came overnight, thousands of trees and ten thousand pears blossomed." With the large-scale industrial and scientific research funds invested in the construction of intelligent manufacturing by the whole country and local governments in the past year, it has injected strong impetus and resources into the development of intelligent manufacturing. Shanghai, Tianjin, the Pearl River Delta and other places have introduced relevant intelligent manufacturing applications The construction planning of the project, therefore, has set off a construction boom of domestic smart manufacturing plants for a while. But in fact, whether it is Germany's "Industry 4.0" or "Made in China 2025", around the goal of intelligent manufacturing, there are still many topics that need to be further clarified: For example, what are the standards for intelligent manufacturing? How does lean production integrate with automated information systems? How to build an information model according to the particularity of enterprises in different industries? ..., after all, in the final analysis, any change in production mode must serve the goal of the manufacturing industry: that is, to ensure the high quality of products, improve production efficiency, and reduce manufacturing costs.

    The construction of smart factories needs to revolve around the core value chain of the manufacturing industry

    As we all know, the construction goal of "Industry 4.0" is intelligent factory, which needs to use information technology, sensing technology, execution technology and various communication standards, etc. At the same time, this construction process also requires upstream and downstream It is necessary to establish a set of widely recognized application standards among the midstream and the majority of users. But now, in most cases, many manufacturing industries are more coordinated within a local single enterprise or among several enterprises, and cannot connect the "isolated islands" of the entire environment. The feature of "Industry 4.0" is that production automation not only occurs in the workshop manufacturing site, but also occurs in the enterprise's R&D process, supply chain management process, quality control process, order sorting process of different importance levels of production orders, etc., that is, all these management processes All need to achieve a high degree of automation and intelligence, and form a top-to-bottom, whole-process, end-to-end automated manufacturing system.

    In addition to within enterprises, for enterprises with different divisions of labor in the upper, middle and lower reaches of the industrial chain, another feature of "Industry 4.0" is how different enterprises can share production data in the same industrial chain, that is, with the help of cloud Technology shares data in the cloud, which is another important feature or appearance of intelligent production.

    To establish an intelligent production factory, it is first necessary to analyze the formation process of the value chain of the manufacturing industry. Roughly speaking, the core value chain of the manufacturing industry at this stage mainly includes five steps: the first step is product research and development; the second step is production technology research and development; the third step is factory construction; the fourth step is factory operation; the fifth step is Carry out life cycle service maintenance for products and factories. Therefore, we believe that to build an automated and digital factory, it is necessary to provide manufacturing users with the software, hardware and solutions they need in the above five steps. Electrification, automation and digitalization, as the core of the company's future development, always focus on the customer's value chain, according to the process of product development, production technology, factory construction, factory operation, and product and factory service maintenance, and constantly improve its own industrial chain to help users improve. productivity level.

    Taking the process industry and discrete industry as an example, the discrete industry should go a little ahead in the practice of applying digital technology to improve productivity compared with the process industry. But in general, the discrete industry and the process industry are driven by the needs of users and use advanced digital technology to optimize the construction of each production link in the factory. Minimize communication time for all parties and accelerate the construction of modern manufacturing plants on a unified software platform through digital solutions.

    On the other hand, a key element in the construction of an intelligent factory is to "get through" one by one, that is, starting from product design, all design data, production data, and various data on the production line can be used as a means of product quality control. And all product shapes, materials, colors, etc. can be customized according to the needs of consumers to form personalized orders, which fully reflects the smart factory in terms of production flexibility, product launch time, production efficiency and R&D cycle. huge advantage. (Reprinted from the Internet)