Definition of core system of digital intelligence factory
1. Definition of digital intelligence factory
MVME333-2 The digital intelligence factory, that is, the integration concept of “digital factory” and “smart factory”, emphasizes the digitalization and informatization of the production process, as well as the ability of self-learning and intelligent decision-making, covering the application of a new generation of information technology such as the industrial Internet, the Internet of Things, and cloud computing, and finally realizes the high degree of automation, flexibility and intelligence of the production process, improves production efficiency and reduces resource consumption. Promote the transformation and upgrading of the manufacturing industry.
According to the “Made in China 2025” Interpretation: Promoting the development of aviation equipment “issued by The State Council in 2016, aviation equipment mainly includes aircraft, aviation engines and aviation equipment and systems. The different components are defined in detail as follows:
2, the definition of the core system of the digital intelligence factory
The core systems of the digital Intelligence factory mainly include product lifecycle management (PLM), manufacturing execution system (MES), enterprise resource management plan (ERP) and artificial intelligence Internet of Things (AIoT), etc. The above four core systems vertically integrate the design and development layer, operation management layer, manufacturing execution layer and equipment iot layer of the manufacturing system. Realize intelligent production process management and control.
Application advantage analysis of the core system of digital intelligence factory
Digital intelligence factory is an important development direction of today’s manufacturing industry. With the promotion of the core system of digital intelligence factory and the popularization and use of intelligent equipment and terminals, ubiquitous perception and connection will be brought. Data and intelligence will penetrate into the whole life cycle of products, enterprise operations and even the entire industrial chain, bringing the traditional manufacturing industry into a new era and significantly improving production efficiency. Reduce production costs, improve product quality, ensure production safety, so as to create greater value for enterprises.
MVME333-2 Taking the MES system of Dingjie Software as an example, it can support the realization of integrated workshop management, improve the on-site production efficiency, and solve the three major problems of intelligent manufacturing to shorten the cycle, reduce the cost and increase the efficiency, and improve the quality, so as to maximize the production value.
Global digital intelligence factory core system market status
First, from the perspective of the global industrial software market, since entering the 21st century, developed countries in Europe and the United States have successively raised the development of industrial software as a national strategy, and introduced a series of policy measures to focus on support, and the scale of the global industrial software market has continued to increase, reaching 482.3 billion US dollars in 2022, an increase of 5.7%.
Among them, the market size of the global digital intelligence factory core system (PLM+ERP+MES+AIoT) in 2022 is about $94.9 billion, accounting for about 20% of the overall industrial software market, an increase of 21% year-on-year in 2021.