With the rapid development of the iron and steel industry, the mode of steel manufacturing has gradually changed from manual participation to unmanned production. All along, Xinda has taken the initiative in the whole production process, accelerated the process of digital steel transformation, and promoted production efficiency, cost reduction, and market competitiveness of enterprises with digital intelligence.

The most difficult part of the steelmaking process is to look inside the furnace and adjust the proportion of ingredients. Nowadays, with the development of digitalization, we can use intelligent means to combine digital technology with smelting experience, carry out statistical analysis and calculation through the previous smelting data, and then achieve intelligent ingredient analysis, and then push the analysis results to the front-line operators, so as to realize the standardization of the operation process and achieve scientific smelting. This is also a new attempt and new experience of intelligent steelmaking, truly "from practice to practice."

The team of technical experts used the "python script" to calculate the bar chart of the key indicators of Hebei Rongxin Iron and Steel Co., Ltd. to guide steelmaking production. In order to consolidate the results, Hebei Steel Grain United Technology Co., Ltd. developed a steel-making data analysis system based on the actual production needs of Hebei Rongxin Steel Mill.

The steelmaking data analysis system is to collect and analyze the original data in the steelmaking industry process, help steelmaking practitioners see the relevant production data in the steelmaking process through this system, and can calculate and convert the corresponding steelmaking rate, and use the generated data to make a more intuitive graph. Through the application of steelmaking data analysis system, to avoid the on-site operation of the original record can not be intuitive and effective data analysis of the drawbacks, through the system calculation and simple click the date button, you can view the time of steelmaking rate and a variety of related data, guide production.

In this system, 8 of 37 key indicators related to the production of steel mills are selected for development: one-down rate, end-point carbon inlet rate, sampling rate, end-point temperature inlet rate, Si inlet rate, Mn inlet rate, bomb utilization rate, bomb inlet rate.

The system automatically converts the collected data into charts and line charts, which makes the data viewing more intuitive. Data can be added or deleted from the system's database, supporting relational databases, data files, data warehouses and other data sources.

After entering the main interface of the system, the main menu and 13 sub-function module pages are: key indicator overview, team data comparison, team data self-evaluation, one reverse rate, carbon inlet rate at the end, sampling rate, temperature inlet rate at the end, Si inlet rate, Mn inlet rate, bomb utilization rate, bomb inlet rate, production data management, baseline target setting module.

All operations on the steelmaking data analysis system can be achieved by simply clicking a button or entering a noun, without any difficulty; Click the data cylinder to display the detailed data of each team, and set the corresponding button functions such as seven days, this month and so on according to the usage habits; Each data is displayed in bar chart or curve chart, which makes the data presentation more intuitive and easy to understand. Through this system, the production personnel can review the previous production in time, find the root cause affecting the production, make timely adjustments, and guide the production scientifically.

At present, the system has been fully put into use in Hebei Rongxin Iron and Steel steelmaking plant, and the use effect is good. The system makes statistics and analysis on the production data and process data to find out the production links and parameters that have an impact on product quality, so as to improve the production process and quality and properly solve the problems encountered in production. In the next step, the Hebei Steel Valley technology development team will also conduct in-depth development of the system, in-depth mining of data, and show detailed production data and discrete distribution maps to production personnel after finding abnormal production data to guide production.

Intelligent manufacturing, which is mainly characterized by the accelerated integration of information technology and manufacturing industry, has become the main development trend of the steel industry. In the future, Hebei Xinda Group will actively promote digital transformation, establish a collaborative mechanism between various production links, and achieve "simplified management, unified standards, cost optimization, and manufacturing upgrading". Make full use of 5G communication, Internet of Things and digital twin technology, establish a visual process technical index system, realize the full mathematics of the production process, timely visualization and digital space presentation and control, improve the level of process technology and product quality, and create greater benefits!