Digital Twin-based Gas Station Operation and Management in Smart cities

This digital twin system provides an integrated framework for intelligent gas station management. Its four-layer architecture creates a virtual replica of the physical facility, enabling real-time monitoring and control. The system incorporates eleven core modules—covering scheduling, predictive maintenance, warning, security, and training—which deliver seventy-nine specific functions. These allow for comprehensive operational oversight, data-driven forecasting, proactive hazard detection, and optimized gas supply scheduling. By enhancing visualization, predictive analysis, and automated response capabilities, the platform significantly improves operational safety, reliability, and efficiency. It serves as a key technological enabler for resilient and sustainable urban energy infrastructure within smart cities.