The "intelligent" process of "artificial intelligence + manufacturing" is fundamentally different from the process that the manufacturing industry pursued "automation" in the past. "Automation" pursues automatic machine production, essentially replacing machines with humans, emphasizing large-scale machine production; "intelligent" pursues flexible production of machines, essentially "man-machine collaboration", and emphasizes that machines can cooperate with people autonomously Work independently to adapt to environmental changes.

"Artificial Intelligence + Manufacturing" is not pursuing simple and rude machine substitutions, but pulling the extremely detailed workers' assembly line work since the Industrial Revolution and returning to the "people-oriented" organizational model, so that machines and humans can engage in what they are better at Things, machines take on more repetitive, boring and dangerous work, and humans take on more creative work.

The manufacturing industry is a highly complex industry. A product has as few as tens of raw material inputs and many are made up of millions of parts. To produce the same product, different companies have different production processes, production equipment, and parts inputs. . Due to different production processes, different equipment interfaces, and different data formats, not only will the digital connection of the upstream and downstream of the supply chain be difficult, and the digital transformation of each enterprise will have to start a new stove, which takes time and effort. By establishing a plug-and-play industrial Internet platform that follows common standards and is more versatile, the aforementioned problems in the process of "artificial intelligence + manufacturing" can be solved. The industrial Internet platform provides general computing power (industrial cloud computing and edge computing), data (industrial big data) and algorithmic capabilities (industrial artificial intelligence) to the manufacturing industry, thereby promoting the transformation and upgrading of the entire industry.

At present, there are mainly three types of typical directions of "AI + manufacturing": first, intelligent production, which realizes digital connection and high coordination of production equipment, value chain, and supply chain, so that production systems have agile perception, real-time analysis, autonomous decision-making, and precise execution , Learning and upgrading capabilities, and comprehensively improve production efficiency. The second is intelligent products, which can be connected to the cloud or package the trained artificial intelligence system into hardware to give the product the ability to intelligently respond to external changes and user needs. The third is intelligent services, which monitor product status in real time and respond to user needs, and provide value-added services such as rental agency sales, on-time billing, remote diagnosis, fault prediction, remote maintenance, and integrated solutions to enable manufacturing companies to change from providing products to providing " Product + Service "transformation.

In short, the realization of high-level human-machine collaboration through "artificial intelligence + manufacturing" can promote quality change, efficiency change, and power change in manufacturing, and create a better life for humanity.