For enquiry (Roger Ge):
For support (Eason Tsang):
The development of intelligent manufacturing has experienced three stages: artificial intelligence began to be applied in manufacturing field in 1980s, intelligent manufacturing technology and intelligent manufacturing system concept began to be put forward in 1990s. Since the 21 st century, the new generation of information technology under the condition of "intelligent manufacturing" began to form.
The concept evolution of intelligent manufacturing
1. The concept of intelligent manufacturing is defined as "manufacturing software system through integrated knowledge engineering," Robot vision and robot control are used to model the skills and expertise of manufacturing technicians so that intelligent machines can be produced in small quantities without human intervention.
2, the development of the concept, "Intelligent Manufacturing International Cooperation Research Program" puts forward: "Intelligent manufacturing system is a kind of intelligent activities throughout the entire manufacturing process, and this kind of intelligent activities and intelligent machines are integrated organically. The advanced production system, which integrates the whole manufacturing process from ordering, product design, production to marketing and so on, in a flexible way, can exert the maximum productivity. "
3. Deepening of the concept. Nowadays, intelligent manufacturing combines the Internet of things, big data, cloud computing and other new generation information technologies with advanced automation technology, sensing technology, control technology, and digital manufacturing technology to realize the interior of factories and enterprises. Real-time management and optimization of manufacturing systems between enterprises and throughout the product life cycle.
Second, intelligent manufacturing features
1, real-time data perception. Intelligent manufacturing needs a large amount of data support, through high efficiency and high standard method for real-time information collection, automatic identification, and information transmission to the analysis and decision system.
2, optimize the decision. Through mining and refining massive heterogeneous information for the whole product life cycle, calculating and analyzing, reasoning and forecasting, the decision order of optimizing manufacturing process is formed.
3, dynamic execution. According to the decision order, the state of the manufacturing process is controlled by executing the system, and the stable, safe operation and dynamic adjustment are realized.
3. Intelligent manufacturing consists of intelligent products, intelligent production, intelligent service and intelligent function.
The core of intelligent manufacturing is to improve the production efficiency of enterprises and enhance the value-added space of enterprise value. Main performance in the following aspects:
first, shorten the product development cycle. Through intelligent manufacturing, products from R & D to market, from order to distribution time can be shortened. Reduce downtime and production outages for machines and factories through remote monitoring and predictive maintenance.
Second, improve the flexibility of production. By using digital, interconnected and virtual process planning, intelligent manufacturing opens the door to mass customization and personalized small batch production.
Third, create new value. Through the development of intelligent manufacturing, enterprises will realize the transition from traditional "product-centered" to "integrated service-centric", focusing on the solution and system level, using services to achieve new value throughout the product life cycle.