An industrial revolution is being launched in various countries. National-level strategic deployments represented by German Industry 4.0, American Advanced Manufacturing, and British Industry 2050 all point to the key point of industrialized revolution competition towards Industry 4.0. The connotation of Industry 4.0 is to realize the intelligent analysis and decision-making of the production system through the extensive application of Internet technology, real-time sensing and monitoring of the massive data generated in the production process, and the production process becomes more automated, networked, and intelligent. Collaborative manufacturing and large-scale personalized customization have become the new format of production.
It is unrealistic to connect all the IOT nodes directly into a single blockchain. In addition to different Internet of things applications requiring different blockchain attribute settings, in a single blockchain, the requirements for the scale and computing power of the nodes bearing too much Internet of things are on the rise, which is too heavy for IOT devices. Instead, separation of responsibilities ensures that each blockchain interacts with a specific group of IOT nodes and with other blockchains when required. This is similar to the architecture of the Internet. A heterogeneous device first forms an internal connected group, that is, an internal network. The smaller internal network then constitutes a larger internal network, which eventually connects to the Internet center and communicates with each other. Separation of duties usually creates a balanced system to maximize efficiency and privacy.
Artificial intelligence, by studying the essence of intelligence, produces a new kind of intelligent machine which can react in the similar way of human intelligence. The research in this field includes robot, language recognition, image recognition, natural language processing and expert system, etc. The theory and technology of artificial intelligence are becoming more and more mature, and the application field is also expanding. In the future, all kinds of products derived from artificial intelligence will gather human intelligence. Artificial intelligence can identify the value of data in the Internet through intelligent system, and then store the valuable data in the Internet of things storage devices. The data sources of the Internet are mainly the users of network devices such as servers and Internet terminals, such as a large number of text data and social data; industrial data mainly comes from the data of machine equipment, industrial information and industrial chain. From the perspective of data collection type, it should not only cover basic data, but also gradually include semi-structured user behavior data, mesh social relationship data, text or audio type user opinion and feedback data, periodic data collected by devices and sensors, Internet data acquired by web crawlers, and more and more potential data in the future.