Design and implementation of steel industry chain visualization system

Abstract

This research focuses on constructing a spatial graph for the Hebei iron and steel industry chain and developing a visualization system to overcome the deficiencies of traditional management approaches. These deficiencies are characterized by the low degree of informatization, challenges in data integration, and insufficient transparency within the industry chain. By leveraging big data analytics and visualization techniques that are specifically adapted to the unique features of the Hebei iron and steel industry chain, a visualization system based on a B/S architecture has been successfully designed and implemented. The system's front-end development uses the Vue framework, and the back-end development uses the Spring Boot framework, and MySQL as the database management system. It integrates functionalities such as data management, distribution map display, cluster analysis, and user management.

After development and testing, the system has proven effective in consolidating data from all segments of the industrial chain, enabling dynamic data display and real-time updates. It provides precise data support for managers and decision-makers, enhancing the informatization level and management efficiency of the Hebei iron and steel industry. The successful deployment of the system offers robust technical support for the intelligent transformation of the iron and steel sector. Additionally, this research serves as a valuable reference for other steel-producing provinces in China, contributing significantly to the digital upgrade of the entire steel industry.