Artificial intelligence can be simply understood as “a man-made machine that is as smart as humans.” Applying this clever “artificial machine” to the manufacturing industry, the main role is to enable the machine to “reach or exceed the level of human technicians” and to improve the efficiency of manufacturing operations. The “intelligent” process of “artificial intelligence + manufacturing” is fundamentally different from the process of pursuing “automation” in the past. “Automation” pursues the automatic production of machines, the essence of which is machine replacement, emphasizing large-scale machine production; and “intelligent” pursues the flexible production of machines, the essence of which is “human-machine synergy”, emphasizing that machines can cooperate with others. Work, adapt to environmental changes. “Artificial Intelligence + Manufacturing” pursues not a simple and rude machine substitution, but an extremely streamlined worker assembly line since the industrial revolution, and pulls back to the “people-oriented” organizational model, allowing machines and people to engage separately. What is better at doing things, the machine takes on more duplication, boring and dangerous work, and humans take on more creative work. The manufacturing industry is a highly complex industry. There are dozens of raw materials in one product, and millions of parts in many products. The same product is produced, and different companies have different production processes and production equipment. And component investment.
Due to different production processes, different equipment interfaces, and different data formats, not only will the digital connection between the upstream and downstream of the supply chain be difficult, but the digital transformation of each enterprise will have to start again, which is time-consuming and labor-intensive. By establishing an industrial Internet platform that follows a common standard, is more versatile, and plug-and-play, the above problems in the process of “artificial intelligence + manufacturing” can be solved. The Industrial Internet Platform provides the industry with a common computing power (industrial cloud computing and edge computing), accounting (industrial big data) and algorithmic capabilities (industrial artificial intelligence) to drive the transformation and upgrading of the entire industry. At present, there are three main types of “artificial intelligence + manufacturing”: first, intelligent production, digital connection and high synergy of production equipment, value chain, supply chain, and agile perception, real-time analysis, and autonomy of production systems. Decision-making, precise execution, learning and improvement, etc., to improve production efficiency. The second is smart products, which can be intelligently responded to external changes and user needs through cloud connection or encapsulation of trained artificial intelligence systems into hardware. The third is intelligent services, real-time monitoring of product status and response to user needs, providing value-added services such as renting, on-time billing, remote diagnosis, fault prediction, remote maintenance, and integrated solutions, enabling manufacturing companies to provide products from providing products. Product + service” transformation. In short, high-level human-machine collaboration through “artificial intelligence + manufacturing” can promote quality change, efficiency change, and dynamic change in manufacturing, and create a better life for human beings.