基于数字孪生技术的三维可视化水利安全监测系统

Key Points

• This work aims to develop a 3D visualization water safety monitoring system using digital twin technology to address traditional monitoring issues.
• Built a classification system for hydraulic engineering entities and a multi-scale digital twin modeling process.
• Implemented a four-layer architecture for data collection, 3D visualization, and safety monitoring.
• Utilized multi-source data fusion and machine learning algorithms for precise safety assessment.
• Data processing delay is ≤ 5 seconds.
• Accuracy of early warning system is high, providing effective technical support for water safety management.