In order to maintain an advantage in the fierce global competition, manufacturing companies must maximize the use of resources and make production more efficient. To adapt to changing customer needs, manufacturers must minimize time to market and respond more quickly to the market. In order to meet the diversified needs of the market, manufacturing enterprises must quickly realize flexible changes in each link and make production more flexible.
The digital factory management system is based on the physical factory and uses the advanced information technology as the method to construct the virtual reality simulation of the real factory, and realize the functions of the design, manufacture, assembly, quality control and inspection of the product life cycle. , planning, managing, diagnosing and optimizing production to achieve high efficiency, low cost and high quality of the plant. Efficiency, speed and flexibility are the biggest changes brought by digital enterprises to the manufacturing industry.
In the production mode of the digital factory system, the process design is completed by computer-aided digital simulation and optimization, instead of the long-standing manual method, to form accurate and reliable design results; Life cycle management provides business analysis reports and provides a strong information guarantee for the management to fully and accurately grasp the production data. At the control layer, the MES system realizes real-time control of the production status, quickly handles various abnormal situations such as material shortages, equipment failures, and personnel absences in the manufacturing process, records key technical data of each product, and greatly enhances product traceability. . At the execution level, various industrial robots, mobile robots and smart devices will replace manual production, significantly improving production accuracy and product quality stability.
Coinciding with intelligent manufacturing, the digital factory management system provides the basic conditions for intelligent manufacturing. The digital factory starts from the collection of data, and stores, processes, analyzes and presents the data through information technology, so as to feed back into the production.
Intelligent manufacturing is a human-machine integrated intelligent system composed of intelligent machines and human experts. It reflects the characteristics of artificial intelligence in all aspects of the manufacturing process, such as adaptive adjustment of the production process, autonomous process planning and intelligent failure. diagnosis. As one of the most active branches of artificial intelligence, the expert system will play a huge role in the future of intelligent manufacturing. It extracts valuable experience and knowledge from experts in the manufacturing field, and simulates the expert's way of thinking to carry out the manufacturing process. Reasoning analysis, such as case reasoning with associative memory characteristics, fuzzy reasoning with fuzzy uncertainty. The expert system will form a large-scale distributed knowledge base sharing platform in the future intelligent manufacturing field, and make intelligent manufacturing decisions based on richer reasoning methods, which will expand or extend the brain activity of human experts in intelligent manufacturing. In turn, intelligent manufacturing will be upgraded to a more flexible, intelligent and integrated level.
