How does artificial intelligence transform 'manufacturing' into 'intelligent manufacturing'?

For the manufacturing industry, the emergence of artificial intelligence may not only be an innovation at the technical level, but also a reconstruction of the traditional architecture. Its emergence far exceeds people's understanding of the old efficiency limit and degree of automation. Before people have a clearer and deeper understanding of it, it will be difficult for people to understand its tool attributes and will regard it as a more anthropomorphic existence. But as a tool, it does allow the future of manufacturing to already move in a different direction.

At the production line level, the addition of artificial intelligence makes the adjustment of the production line more timely and forms an adaptive production line. Artificial intelligence flexibly allocates tasks to different equipment through overall calculation of inventory materials, machine running time, maintenance time and other aspects. This model is more efficient and highly adaptable than human decision-making; if there are other goals, you only need to adjust the parameters to achieve the goal.

In terms of human-machine collaboration, the addition of artificial intelligence can allow machines to replace humans in solving high-risk and repetitive tasks; promote workers to transform into decision-makers, and better utilize human subjective initiative.

At the design level, the design ideas of artificial intelligence can cover a wider range of thinking, and the ability to obtain and analyze information must be faster. With the support of powerful computing power, artificial intelligence is very likely to provide more efficient, high-performance and lower-cost design solutions in a short time.

In terms of materials, artificial intelligence can simulate and calculate materials through input parameters; quickly calculate the values ​​of strength, toughness and other aspects, greatly speeding up the material research and development process and reducing costs in the development stage. This kind of research and development has extremely high practical value for research fields with high energy consumption and high consumables.

In terms of sustainability, artificial intelligence can optimize the manufacturing process and make a more reasonable allocation of materials, manpower, transportation and other aspects, thereby achieving the purpose of reducing energy consumption. In addition, the development of green materials can further enhance the sustainable development capabilities of the manufacturing industry.

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