Digital Twin Manufacturing: Making Manufacturing Smarter and Risks More Controllable

Author: Zen and the Art of Computer Programming

In the field of modern manufacturing, enterprises are increasingly relying on AI technology to achieve efficient, accurate, and low-cost product design, manufacturing, and sales, enhancing the competitiveness and economies of scale of enterprises. For manufacturing companies, it is undoubtedly a disruptive and revolutionary technological innovation. Today, more and more manufacturing companies use artificial intelligence (AI) technology for optimization and automated management, and collect and analyze large amounts of data through the Internet and cloud computing platforms. These data information can help manufacturing companies improve production efficiency, reduce costs, save resources, and even help improve product quality. With the continuous progress of the new generation of intelligent manufacturing technology, traditional manufacturing processes will be replaced by intelligent manufacturing tools. The digital twin manufacturing that people are looking forward to is an attempt in this direction. Digital twin manufacturing is divided into two aspects: the development and application of intelligent manufacturing robots; the assembly design of 3D printing. The former needs to be built on the existing industrial manufacturing system, use real-time computer control to generate predictive models, generate command signals, and conduct simulation experiments inside the factory; the latter needs to carry out 3D modeling, cutting, printing, processing and other links. Optimize, improve production efficiency, reduce costs, and improve product quality. Since the fields of intelligent manufacturing robots and 3D printing are still in their infancy, there are still relatively large technical difficulties in some key links. It is hoped that this article can inspire readers to think, gain insight, expand and develop the research and application prospects of digital twin manufacturing.

2. Explanation of basic concepts and terms

2.1 AI

Artificial Intelligence (Chinese translation: artificial intelligence) refers to a system composed of computers and algorithms that endow them with knowledge, skills, and abilities. This system can simulate, copy, and learn certain human behaviors or functions, so as to reach the level of human intelligence. the height of. At the end of the 1980s, people generally realized that the performance of machines had surpassed human imagination, but due to the difficulties in programming algorithms, long training time, and large resource consumption, AI technology was still in its infancy at this time. In the mid-1990s, with the development of computer technology, people realized that new AI technologies such as deep learning, reinforcement learning, and pattern recognition could overcome the above problems, and made breakthroughs.

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転載: blog.csdn.net/universsky2015/article/details/131842944