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湖库水质监测与水华预警信息系统
引用本文:郝启文,王小艺,许继平,刘载文,盛璐,何多多.湖库水质监测与水华预警信息系统[J].计算机工程,2013,39(1):287-289.
作者姓名:郝启文  王小艺  许继平  刘载文  盛璐  何多多
作者单位:北京工商大学计算机与信息工程学院,北京,100048
基金项目:国家自然科学基金资助项目,北京市科技新星计划基金资助项目,北京教委人才强教计划基金资助项目,北京工商大学研究生科研创新基金
摘    要:针对当前湖库水质监测及水华预测预警信息化发展相对落后的现状,开发一套集水质监测、水华预测预警功能于一体的智能化信息系统。采用Visual Studio 2010中的C++语言进行系统平台搭建,将网络通信、地理信息系统、SQL2005数据库等技术相结合,对湖库水质信息进行实时监测,并通过灰色-BP神经网络模型实现对湖库藻类水华较高精度的中长期预测预警的功能,为环保部门进行湖库水华防治提供有效的信息化决策平台。

关 键 词:实时监测  地理信息系统  结构化查询语言  BP神经网络  水华预测预警  通用分组无线服务
收稿时间:2012-01-19
修稿时间:2012-04-12

Information System for Water Quality Monitoring of Lakes and Reservoirs and Water-bloom Early-warning
HAO Qi-wen , WANG Xiao-yi , XU Ji-ping , LIU Zai-wen , SHENG Lu , HE Duo-duo.Information System for Water Quality Monitoring of Lakes and Reservoirs and Water-bloom Early-warning[J].Computer Engineering,2013,39(1):287-289.
Authors:HAO Qi-wen  WANG Xiao-yi  XU Ji-ping  LIU Zai-wen  SHENG Lu  HE Duo-duo
Affiliation:(College of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China)
Abstract:Aiming at the relatively backward-status of water-quality monitoring for lake and reservoir and the information technology development of water-boom forecasting warning, an intelligent information system including water-quality monitoring, water-boom forecasting and warning is developed. The system is built by the language of C++ of Visual Studio 2010, integrating network communication, Geographic Information System(GIS) and database(SQL2005) key technology. The function of real-time monitor and higher accuracy of long-term prediction for lake water-blooms is achieved through the gray-Back Propagation(BP) neural network model, which provides an effective decision-making platform for environmental protection departments to prevent and control lake water-bloom.
Keywords:real-time monitoring  Geographic Information System(GIS)  Structured Query Language(SQL)  Back Propagation(BP) neural network  water-bloom prediction and early-warning  General Packet Radio Service(GPRS)
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