Development of a Web Application for Automating the Crane Operator's Workstation in an Electric Steelmaking Shop with a Crane and Ladle Movement Visualization System

The article presents a web application for automating the crane operator's workstation in an electric steelmaking shop, integrating management tools and visualization of crane and ladle movements into a unified environment. The relevance of the development is due to the insufficient transparency of crane operations, which leads to equipment downtime, disruptions in the technological process, and a decrease in overall production efficiency. The proposed solution is implemented using a combination of Django and FastAPI frameworks for the backend, with an SQL database (PostgreSQL) and NoSQL storage (Redis). The frontend part of the application is developed using jQuery and Bootstrap, while Celery is used for background tasks. System testing is performed using pytest. The implementation of the automated workstation increases work speed, improves response to production incidents, and provides flexibility in crane control. The article describes the application architecture, project file structure, and data flow diagrams. The implementation of the system will increase production by reducing downtime and decreasing the number of violations caused by insufficient transparency in crane operations.