At present, the processing of data in the steel industry is mainly limited to the establishment of models, the preparation of software systems, the control and prediction of the manufacturing process, and the use of macro information data in the development of the whole industry is insufficient to meet the urgent needs of the transformation and upgrading of the steel industry and the deepening of reform. In this context, this work uses the data visualization software DLV to visually process the scattered and worthless data of the steel industry collected and integrated, and create chart components and scene templates related to it. Drag and drop the completed visual graphics to form a large screen of steel industry information data. Including "China's steel industry statistics" big screen, "China's steel industry development trend" big screen and "China's steel industry problems" big screen. The development trend of the iron and steel industry is shown from the three aspects of equipment level, regional layout and industry concentration, and the problems and risks in the development of the iron and steel industry are expounded from the four aspects of the distribution of metallurgical universities, the degree of dependence on imported iron ore, the utilization rate of electric furnace steelmaking and the overall quality of employees. So as to dynamically and intuitively show the current situation of the steel industry, tap the value behind the data, and make scientific decision-making adjustments based on this, and help the steel industry to achieve efficient, green and intelligent development as soon as possible. Similarly, this idea can be applied to other industry sectors to gain a detailed understanding of existing businesses and support later business adjustments.