EPANET-Agentic:一种用于自然语言控制的水分网络模拟的多代理系统
Jian Wang1, Guangtao Fu1, Dragan Savic2
1Centre for Water Systems, University of Exeter, Exeter EX4 4QF, United Kingdom.
Water research
|January 24, 2026
概括
EPANET-Agentic 简化了使用人工智能代理的水分配网络 (WDN) 建模,使复杂的模拟实现自然语言控制. 该系统实现了可靠,高效的液压分析,并对关键基础设施管理进行人类监督.
科学领域:
- 土木工程 土木工程是指土木工程.
- 人工智能的人工智能
- 环境工程 环境工程
背景情况:
- 水分网 (WDNs) 是重要的城市基础设施,需要复杂的模拟来管理.
- 像EPANET这样的传统WDN建模工具强大而复杂,阻碍了可访问性和及时的决策.
研究的目的:
- 通过自然语言引入EPANET-Agentic,这是一个新的多代理系统,用于通过自然语言进行自主WDN模拟和分析.
- 通过将大型语言模型 (LLM) 与EPANET集成来提高WDN建模的可访问性和效率.
主要方法:
- 开发了一个以编排器为中心,工具驱动的架构的多代理系统.
- 集成的专用代理 (TaskExecutor,CodeRunner,DataAnalyzer) 作为功能调用工具,用于任务分解和执行.
- 根据EPANET-Agentic对系统特征,动态,操作和场景模拟的基准WDN进行评估.
主要成果:
- 在没有人类干预的情况下,EPANET-Agentic证明了100%的成功率和工具调用准确度.
- 数据分析器代理提供了对模拟结果的准确解释.
- 该系统在各种水力分析任务中表现出强度,可扩展性和工程级可靠性.
结论:
- EPANET-Agentic可实现自然语言控制的WDN模拟和分析,提高可访问性和效率.
- 人在循环中的方法确保了关键基础设施管理的安全性.
- 这一下一代平台在传统的WDN建模方法上提供了显著的进步.
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