期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：47
期号：2
页码：594-597
出版社：Journal of Theoretical and Applied
摘要：As for a relatively backward situation in monitoring of water quality and prediction and early-warning of algal bloom in lake reservoir, an intelligent information platform integrating monitoring and analysis of water quality, and prediction and early-warning of algal bloom is developed. Lower data acquisition instrument is based on main ARM controller, adopting WinCE OS, and integrates serial-port communication technology, GPS technology and GPRS remote data communication technology, so as to collect and transmit information on water quality; upper analytical system is established using C++, and combines key technologies like network communication, geographic information system and SQL2005 database, so as to analyze data on water quality collected by instrument and realize functions like real-time monitoring and history inquiry of information on water quality. In addition, high-precision prediction and early-warning to algal bloom in lake reservoir are realized through grey-BP neural network model, providing an effective information decision-making platform for environment protection bureau to prevent and treat algal bloom in lake reservoir.
关键词：Remote Monitoring Of Water Quality; Intelligent Analytical Platform; Neural Network; Prediction And Early-Warning
