The energy efficiency grades of transformers have been generally improved as the formal implementation of the transformer new energy efficiency standard (GB 20052-2020), which also promotes the improvement of the grade of grain oriented electrical steels. Material selections of electrical steels were suggested in this paper combined with the new energy efficiency standard and according to the application performance of Baosteel's low loss grain oriented electrical steel products. And the existing problems in the use of the products were also analyzed.It is expected to provide reference for transformer manufacturers in the selection and use of silicon steels.

The production technology level, output and application of domestic glassless grain-oriented electrical steel were introduced, and the application of glassless grain-oriented electrical steel as parent material of ultra-thin strip of grain-oriented electrical steel and in making large-scale electric generator cores, wind power motor cores and transformer cores were briefly described.

In order to explore the effect of annealing temperature on the microstructure and electromagnetic properties of a thin gauge 3.0 %Si non-oriented silicon steel, the effects of different annealing temperatures on electromagnetic properties, microstructure and texture of cold rolled 0.25 mm thick 3.0 %Si nonoriented silicon steel were simulated by means of a multi atmosphere continuous annealing furnace. The results showed that, the iron loss P1.5/50 and P1.5/400 gradually decreased as the annealing temperature increased from 850 ℃ to 975 ℃. When the annealing temperature exceeded 950 ℃, the iron loss P1.5/50 was about 1.47 W/kg, and when the annealing temperature exceeded 975 ℃, the iron loss P1.5/400 gradually increased. As the increase of annealing temperature, the increase of hard magnetize textures of {111}〈121〉, {111}〈110〉 etc. was faster than {001} texture, and the magnetic induction B50 was decreased. Considering the effect of annealing temperature on magnetic induction and iron loss, better electromagnetic properties can be obtained when the annealing temperature is 975 ℃, then the critical grain size is 125 μm. The optimum annealing temperature in industrial production is 950~975 ℃.

The influence of normalization process with a bell furnace on the structure, inclusions and properties of 50W350 electrical steel hotrolled sheet was studied. The research results showed that: when the steel was normalized at a certain temperature in the bell furnace, the silicon steel grains gradually recrystallized and grew up with the extension of the annealing holding time，and at the same time, the precipitates also gathered and grew up. The recrystallization and growth of the silicon steel grains were realized by formulating a reasonable normalization process in a bell furnace so as to meet the technical requirements of the product normalized in a continuous annealing furnace.

The current market and future market size of new energy vehicles and traction motors were analyzed, and the total amount of electrical steels used in traction motors in China from January to November 2021 was derived by using self-built calculation formulas, and then the situation in the next ten years of electrical steel used in traction motors of new energy vehicles in China was predicted. It will provide a valuable reference for the production of nongrain oriented electrical steel and its application in motors.

SIDS (Silicon steel Intelligent Decision making System) based on "cloud-edge integration architecture" was proposed to solve the problems of data silos and business function fragmentation in the original L1~L5 system architecture. On this basis, the self-learning control model and decision-making model of cloud-edge collaboration were developed, the "smart brain" of silicon steel department was constructed, and a new intelligent decision-making support model of digital integration of core businesses such as R&D, manufacturing and service was formed to explore a digital and intelligent transformation road of steel manufacturing industry.

Based on iba platform, the oriented silicon steel rolling data on production process by sendzimir mill was collected and analyzed, which was then used to help the production in return, forming a virtuous cycle. The data collected from cold rolling made good effects on the application of strip breakage analysis and prediction, defect tracking, online and offline analysis of shape and thickness and prediction, which evidently improved the material output rate and production yield.

The magnetic performance index of silicon steel products is one of the most critical quality indexes. However, at present, 100 % determination of magnetic performance depends on the offline laboratory test results of samples, and the measurement results of the online detector configured in the production line cannot be applied in practice due to the accuracy problem.Based on the existing quality control system of silicon steel products, big data technology was used to analyze and model the production data in this paper, and different magnetic property index online detection models was constructed , and the integrated deployment of the model based on the existing information system was completed. Finally, the fulllength and multiindex magnetic properties of silicon steel products were realized, and functional applications such as sampling optimization, precise cutting and auxiliary comprehensive judgment were developed to further optimize the quality control system of silicon steel products.

The importance of intelligent manufacturing technology and the intelligent flexible production line，the intelligent equipment，the intelligent digital equipment model，the intelligent digital quality model，the intelligent logistics，the intelligent service and extreme care in laminated core materials of intelligent manufacturing technologies were described in this paper, which have a certain reference value for the development of core industry.

The rolling strategy of electrical steel was optimized in a factory, and the rough rolling pass was changed from “1+5” to “1+3”. Subsequently, the following problems were occurred in the production process: when the steel grade changed, the roasting roller steel before the electrical steel appeared the narrow width phenomenon, and then the electrical steel appeared the ultrawide phenomenon. This paper introduced the principle of width setting model and width adaptive model, and expounded the causes and solutions of this problem. In the end, the problem was solved effectively, the product quality was greatly improved and the width blocking rate was also reduced.