基于数字双胞胎技术和优化调度算法的高效城市洪水控制和排水管理框架
Chenchen Fan1, Jingming Hou1, Xuan Li2
1State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi'an University of Technology, Xi'an,710048, China.
Water research
|May 4, 2025
概括
一个新的数字双胞胎平台通过优化排水时间表来改善城市洪水控制. 该系统增强了实时监控和决策,大大降低了洪水风险和运营成本.
科学领域:
- 环境工程 环境工程
- 水资源管理 水资源管理
- 计算机科学 计算机科学
背景情况:
- 城市洪水控制面临着协调排水与河湖系统的挑战.
- 河流水平面上升导致滞水效应,增加城市洪水风险.
- 传统方法存在数据延迟和决策支持不足的问题.
研究的目的:
- 开发一个数字双胞胎实验平台,以加强城市洪水控制和排水管理.
- 使用深度学习和多目标优化优化排水调度规则.
- 评估平台在减少洪水风险和运营成本方面的有效性.
主要方法:
- 开发了一个数字双胞胎平台,使用PLC和Unity3D集成物理系统与虚拟模型.
- 实施了一种新的深度学习和多目标优化模型,用于调度.
- 在优化前后对洪水风险和成本进行了比较分析.
主要成果:
- 数字双胞胎平台在水位预测 (NSE>95.18%) 和运行时间 (误差<4.11%) 中实现了高精度.
- 在各种场景下,优化策略显著降低了水位目标,高达51.61%.
- 据确定,滞水效应主要是由河流流量和下游湖泊水位驱动的.
结论:
- 数字双胞胎平台为全面的城市防洪和排水管理提供了强大的解决方案.
- 提议的优化模型有效地平衡了水位控制和运营目标.
- 该框架为优化洪水控制和排水操作提供了强有力的技术支持.
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