面向城市供水系统安全的大数据分析及云服务理论与方法研究

For the reason that the applicability of source water quality monitoring and early warning methods is limited, the hidden anomalous fluctuation is hard to detect by conventional methods, the damage and leak of drinking water network is hard to detect and locate, and the monitoring and warning function is hard to be integrated in water supply process, we aim to research on the technology of intelligent water quality monitoring, fusion, forecast and decision support, set up the technologies and methods of dynamic data based source water pollution forecast and warning for urban drinking water network, information fusion based drinking water anomaly detection, big data based drinking water network leak detection and assessment, SaaS based water quality contamination warning cloud services, construct the prototype system of urban water quality monitoring and early warning system supporting cloud services, to promote the intelligent water supply system to run safely, environmentally friendly, smoothly and savingly, and Combining the actual situation of Zhejiang Province and Hangzhou, to carry out the basic theoretical research and application, to promote the intelligence level for urban water supply system in data sensing, leak detection, water quality risk forecast and warning, at the same time to provide theoretical and technical support for the Zhejiang’s Five Water Treatment strategy.

针对城市供水安全保障面临的原水水质监测预警方法适用性受限、常规检测方法难以发现隐藏的异常波动风险、供水管网漏损严重但不易检测与定位、全流程监测预警服务功能较难集成等问题，重点研究基于多源信息的水质信息智慧监测、融合、预测、预警和决策支持技术，建立基于动态数据驱动范式的城市供水原水水质污染预测预警、基于信息融合的管网水质异常检测、基于大数据环境的供水管网漏损检测与评估、基于SaaS模式的水质安全预警云服务等方面的相关技术与方法，构建城市供水水质监测预警云服务平台原型系统，以推动智慧水务系统安全、环保、平稳、节约运行；并结合浙江省杭州市等相关城市的实际情况，进行基础理论与方法研究和实验应用，提升城市水务系统在数据感知检测、漏损故障检测、水质风险预测预警等方面的智慧水平，为浙江省五水共治战略提供理论和技术支撑。

针对城市供水安全保障面临的原水水质监测预警方法适用性受限、常规检测方法难以发现隐藏的异常波动风险、供水管网漏损严重但不易检测与定位、全流程监测预警服务功能较难集成等问题，重点研究基于多源信息的水质信息智慧监测、融合、预测、预警和决策支持技术，建立基于动态数据驱动范式的城市供水原水水质污染预测预警、基于信息融合的管网水质异常检测、基于大数据环境的供水管网漏损检测与评估、基于SaaS模式的水质安全预警云服务等方面的相关技术与方法，构建城市供水水质监测预警云服务平台原型系统，以推动智慧水务系统安全、环保、平稳、节约运行；并结合浙江省杭州市等相关城市的实际情况，进行基础理论与方法研究和实验应用，提升城市水务系统在数据感知检测、漏损故障检测、水质风险预测预警等方面的智慧水平，为浙江省五水共治战略提供理论和技术支撑。项目提出了一系列原水水质监测预警、管网水质异常检测与供水管网漏损检测与评估的算法，自主开发完成供水管网漏损实验平台和智慧水务大数据云服务平台，项目执行期间共发表学术论文16篇，其中SCI收录期刊论文7篇，EI收录期刊论文7篇，国内核心期刊论文4篇，国际学术会议论文2篇（全部EI收录），申请国家发明专利7项（已授权1项）。