基于案例推理的供水故障管理决策支持系统

用基于案例推理的人工智能方法,提出了供水故障管理综合决策支持系统的总体框架及工作流程,并给出了系统关键技术的实现方法.基于对供水故障管理业务流程的深入分析抽取故障案例特征,采用对案例特征赋予两套不同权重的变权重检索方式实现故障监控和故障处理两大系统核心功能,通过引入最优关阀方案、供水管网故障状态下工况模拟模型以及两级优化调度模型,保证在无可用案例的情况下实现故障处理功能并充实案例库.运行结果示例说明了系统的可行性和有效性.

Case-Based Decision Support System for Fault Management in Water Supply System

The framework and work flow of the decision support system are proposed for fault management in water supply system through case-based reasoning as an artificial intelligent method,and the key techniques to implement the system are also discussed.After analyzing in depth the operation process of water supply fault management and extracting the case features from historical fault records,two sets of variable weights are given to the case features in case retrieval so as to implement the two core system functions: fault monitoring and fault handling.With the optimized valve shutoff scheme,simulation model of water distribution network under fault condition and two-level optimal scheduling model introduced in,the function of fault handling can be ensured even though no historical cases can be referred to,and the case database is thus substantiated further.The feasibility and validity of the system proposed are illustrated by its operating results.