基于物理数据融合的水分网络管道粗度评估
1Department of Structural Engineering, Tongji University, 1239 Siping Road, Yangpu District, Shanghai, China; State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, 1239 Siping Road, Yangpu District, Shanghai, China.
Water research
|February 27, 2026
概括
本研究引入了一种新的物理数据融合方法,用于评估水分网络 (WDNs) 中的管道粗度. 该方法使用有限的数据准确估计管道粗度系数,改善网络管理和弹性.
科学领域:
- 液压工程 液压工程 液压工程
- 城市基础设施管理城市基础设施管理
- 水资源系统 水资源系统
背景情况:
- 供水网络 (WDNs) 是重要的城市基础设施,需要精确的管道粗度系数评估,以进行运营分析和防灾准备.
- 评估管道粗度系数的现有方法受到不完整的物理理解和不足的监测数据的限制.
- 仅仅依靠物理或数据驱动的方法是不够的可靠的管道粗度评估在WDNs.
研究的目的:
- 开发和验证一种新的物理数据融合方法,用于在WDN中准确评估管道粗度系数.
- 克服现有方法的局限性,包括监测数据不足和问题未被确定.
- 通过使用易于获得的数据,例如总用水量,实现高效的管道粗度评估.
主要方法:
- 在数据表达模型中嵌入物理约束机制,以创建物理数据融合方法.
- 利用物理原理和数据驱动技术的互补优势.
- 在小规模和现实世界WDN上验证拟议的方法.
主要成果:
- 拟议的物理数据融合方法实现了管道粗度系数的准确和有效评估.
- 该方法有效地解决了与监测数据不足和不确定问题的挑战.
- 即使只有总用水量数据,也可以进行准确的评估,而不需要单个节点消耗数据.
结论:
- 开发的物理数据融合方法为WDN中的管道粗度系数评估提供了强大的解决方案.
- 这种方法提高了在各种操作条件下分析和管理WDN性能的能力.
- 这些发现支持改善城市水系统的基础设施管理和弹性规划.
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