基于自动服务的智能径流预测系统  

Intelligent Runoff Forecasting System based on Windows Service

作　　者：杨道辉[1,2] 马光文[1] 杨梅[1] 

机构地区：[1]四川大学能源发展研究中心,四川省成都市610065 [2]二滩水电开发有限责任公司,四川省成都市610051

出　　处：《水电自动化与大坝监测》2009年第2期62-64,共3页HYDROPOWER AUTOMATION AND DAM MONITORING

基　　金：国家自然科学基金重点项目(50539140);国家自然科学基金资助项目(50679098)

摘　　要：为提高径流预测精度,减轻径流预测工作强度,基于Windows服务和优化技术,采用面向对象编程语言C#及ASP.NET开发工具,开发了扩展性好、移植性强的自动化、智能化径流预测系统。文中叙述了该系统的开发目标、结构功能及特点、采用的关键技术。该系统已应用于多个流域水电站,实际运行情况表明,系统运行稳定,效果良好。In order to improve the accuracy of runoff forecasting and reduce the intensity of runoff forecasting work, an intelligent runoff forecasting system based on Windows Service and optimal technology is developed by use of the object orient program language C# and ASP . NET tool. The development objectives, structural function, key techniques and standardized design of the system are discussed, and the key problems and some countermeasures in system design are put forward. Practices in several hydropower stations show that the system is stable and effective in operation.

关 键 词：径流预测 WINDOWS服务 人工智能 水电站 

分 类 号：TV124[水利工程—水文学及水资源]