Python-Based Energy Consumption Visualization Analysis System for Large-Scale Gas Stations

With the global promotion of the "double carbon" goal, energy saving and emission reduction have become a worldwide consensus. This paper presents a Python-based energy consumption visualization and analysis system designed to address the management needs of large-scale gas stations amid China's energy structure transformation. The system integrates key technologies such as data processing, storage, analysis, and visualization. It utilizes the Django framework for back-end services, MySQL for database management, and Echarts for data visualization. The aim is to effectively monitor and analyze power consumption information in gas stations, thereby improving energy utilization efficiency, reducing operating costs, and supporting decision-making.