Interpretation of big data in the hydraulic machinery industry-the cornerstone of industry 4.0
Recently, at the Industry 4.0 event organized by TEConnectivity, a reporter from China Industry News interviewed Li Jie, a professor at the University of Cincinnati, who focuses on big data and industry 4.0 research, and the vice president and industrial division of TEConnectivity, a leading enterprise in the field of connectivity, China. Stefan Rustler, general manager. As outstanding scholars and corporate executives in the industry, they explained their views on the development of Industry 4.0 in a dialogue with reporters from China Industry News.
Industrial big data needs urgent attention
The German academic and industrial circles believe that the concept of "Industry 4.0" is the fourth industrial revolution, or revolutionary production methods, led by intelligent manufacturing. In Professor Li Jie's view, products to be produced in the Industry 4.0 era must not only have functions, but also have value. Value is obtained through data processing. Nowadays, big data is a very hot topic, but industrial big data has received limited attention. Industrial big data refers to the data information involved in a product manufacturing process or an industrial system, just like the data information designed for health management, earthquake treatment, and bank operations. But in fact, industrial big data is of great significance to the entire industrial upgrading.
Li Jie believes that the core of Germany is manufacturing, so the definition of Industry 4.0 proposed by Germany actually defines manufacturing. However, the existing manufacturing system urgently needs a more in-depth analysis of the manufacturing equipment itself and the data generated during the manufacturing process. In this regard, Li Jie proposed the 5C theory of Industry 4.0, which contains five Cs: one is Connection, which refers to connection, which involves sensors and networks, connecting devices as the basis for data collection; the second C It is Conversion, which means conversion. The data collected in the Connection process must be converted into information. The third C is Cyber, which is content; the third C is Cognition, which is cognition; and the fifth C is Configuration, which is configuration. For example, from mobile phones to WeChat, to sharing animations, videos, and interactions on WeChat, in the future, we can even use WeChat to manage home appliances, tube lights, watch family safety and care. This process is the transformation from Connection, Conversion, Cyber, Cognition to Conjunction figure. And among these five Cs, big data will run through.

Industry 4.0 brings more opportunities
In Li Jie's view, companies whose business involves the above 5C categories will have good development opportunities in the future. For example, TEConnectivity, Li Jie believes that it will be a core enterprise that can influence the future of Industry 4.0. Because TE is to be a C, that is, to be a Conjunction enterprise. If TE can continue to create patented technologies and products and become one of the core technologies supporting the future 4.0 transformation, coupled with its official global layout, TE's future development prospects are very impressive.
The first stage, review. That is to reflect on and study the weaknesses that China has made in the past 20 years, and improve and avoid them accordingly.
The second stage is the transformation from a large manufacturing country to a manufacturing power. "Made in China" products will not only be MadeinChina, but also MadeinUSA and MadeinSpain. Possessing worldwide production capacity is also the embodiment of a manufacturing power.
The third stage: Improve user experience. Products made in China are sold abroad, not only on product quality and price, but also on value. Li Jie also emphasized that the value of a product is highly relevant to innovation.
Li Jie finally said that the most lacking thing in China's Industry 4.0 is not the Internet of Things, what is lacking is how to analyze the data after the Internet of Things is collected. This is also the focus of the world's work towards Industry 4.0.




