CLIPS 在黑河水文水资源决策支持系统中的集成研究

传统的决策支持系统使用数学模型和数值计算方法来辅助决策, 因此决策者必须对某领域的模型和数据有一定的了解。黑河水文水资源决策支持系统集成了SWAT、TopModel、水文系统模型、时间序列模型等一系列模型。这些模型的结构和参数都比较复杂, 决策者难以掌握。在黑河水文水资源决策支持系统中, 加入专家知识支持, 使得决策者更容易的使用该系统是很有必要的。研究中, 采用美国航空航天局(NASA ) 开发的通用专家系统开发工具CLIPS 来实现专家知识支持,使用嵌入式方式将CL IPS 的核心推理机集成到黑河水文水资源决策支持系统中。CLIPS 专家系统在黑河水文水资源决策支持系统中的作用有3 点: ①辅助决策者进行模型的选择; ②辅助决策者进行模型参数的输入; ③辅助决策者分析模型运行的结果。

Expert Knowledge Integration by Using CLIPS in Heihe Hydrological and Water Resource Decision Support System

Generally a decision support system (DSS) helps decision making by using mathematic models and numeric computing methods, which requires decision makers to be familiar with models and data to some extent. Heihe hydrological and water resource decision support system (HDSS) has incorporated and will continue to incorporate a set of models, including SWAT , TopModel, an empirical water resource predicting model, and a common time-series model. The structure and parameters of these models are commonly too complicated to learn in a short time. This situation will prevent decision makers from using them. An applicable solution is to integrate an expert knowledge support in to HDSS. In this paper, a common expert system developing tool, C Language Integrated Production System , i. e. , CLIPS, developed by NASA , will be used to implement the knowledge support for the HDSS. By CLIPS, HDSS will be benefited in at least three ways: ①selection of a most appropriate model for the specific hydrological or water resource concern, ②setting of proper model parameters, as well as ③analysis of the outpu t yielded by the selected model. A simple example will be presented to demonstrate the use of CLIPS in the HDSS for facilitat ing the selection of appropriate model (s).