According to the characteristics of production, iron and steel enterprises can be divided into two categories: one is mass-produced steel enterprises, which focus on greening and intelligentization, and pursue more energy saving and higher labor efficiency. For such enterprises, intelligence has different meanings for high-end products and low-end products, and the prospect of promoting high-end plate services and R&D intelligence is very broad.
The other type is special steel enterprises that produce in small batches, focusing on product quality and R&D efficiency. Closely related to improving R&D efficiency is the problem of "knowledge precipitation".
The so-called "knowledge precipitation" means that knowledge management should be driven by application. In the future digitalization stage, iron and steel enterprises should embed relevant knowledge into the software system and become something that can play a continuous role in management, control, and production processes. After repeated reuse, the value of knowledge will continue to increase.
Undoubtedly, the biggest advantage of digitization is that it facilitates standardization, which facilitates accumulation, inheritance, and more efficient continuous improvement. This is also the meaning of knowledge precipitation.
At present, there is a problem that the structure of talent knowledge is relatively simple in the steel industry. People in colleges and universities often do not have a good understanding of steel, and people in the IT (Internet technology) industry do not have a good understanding of steel and equipment industries. This results in some industrial software. Insufficient grounding, the intelligent transformation of the iron and steel industry is facing obstacles.
