基于物联网的城市环境风险监测预警技术的研究

摘 要：针对水源地突发污染事件、工业废水排放、重点区域大气环境、城市噪声等的监测需求，及城市环境数据多元化、海量化和多源异构的特点，通过污染源模式识别算法、异构网络构建技术、嵌入式数据融合技术等的研究及智能网关设备的研制，实现环境感知数据的融合、筛选、集成和标准化快速处理，并通过基于物联网的云可视分析技术、数据驱动的环境噪声分级评价模型、城市环境噪声预测模型、环境传感器优化布局模型等，准确、客观反映目前城市环境污染状况、特征、规律和趋势并实现城市污染源溯源，为建设基于统一云计算平台的环境信息管理系统提供数据支持，为城市环境管理与应急提供科学决策支持。

关键词：模式识别算法、城市环境噪声预测模型、环境传感器优化布局模型

Abstract：For emergency of drinking water pollution ，emission of industrial wastewater， atmospheric environment of key area， urban noise monitoring requirements， such as diversification and urban environment data， the quantitative and the characteristics of multi-source heterogeneous pattern recognition algorithm by pollution source， construction of the heterogeneous network technology， embedded data fusion technology research and development of intelligent gateway device， implementation environment perception data fusion of rapid processing， filtering， integration and standardization， and through the cloud visual analysis technology based on Internet of things， data-driven hierarchical evaluation model of environmental noise， the urban environmental noise prediction model， environment model of optimal placement of the sensor， accurately and objectively reflect the current urban environment pollution status， characteristics， and trend and to realize urban pollution sources， for the construction of environmental information management system based on cloud computing platform to provide data support， provide scientific decision support for urban environmental management and emergency response.

Key words：Pattern recognition algorithms， noise prediction model of urban environmental ， optimization layout model of Environmental sensors

阅读全文链接（需实名注册）：http：///xiangxiBG.aspx？id=64308&flag=1