作　　者： ; ;

机构地区： 深圳职业技术学院机电工程学院

出　　处： 《深圳职业技术学院学报》 2020年第1期16-22,共7页

摘　　要： 文章构建了一个大型环境质量监测系统,用于环境质量数据精细化管理与可视化分析。监测和管理的数据为5个大类,系统基于用户数据源内容和需求可选项接入:大气[一般污染指标、气象、油烟、和企业排污数据等]、水[地表水、地下水、海水、工业废水、市政(居民)污水和水文数据等]、噪声[工业源、运输源、建工源等]、辐射源和固废等。系统定义为基于物联网的数据采集+大数据+人工智能的集成,具有数据采集、存储、数据分析和展示等功能,为一个覆盖全、范围广的水体、空气、土壤生态环境监测网络,为环境管理与治理以及有需求用户提供数据支撑,形成生态资产清单,推进环境污染治理与服务。系统已经实现和应用。 This article describes a large environmental quality monitoring system with 5 large categories of monitoring data. Based on user data source content and requirements, the system has several access options,such as atmosphere(general pollution indicators, weather, fumes, and corporate sewage data, etc.),water( surface water, groundwater, seawater, industrial wastewater, municipal(residential) sewage and hydrological data, etc.), noise(industrial sources, transportation sources, construction sources, etc.), radiation sources, solid waste, and so on. The system is defined as the integration of data acquisition based on the Internet of Things, big data and artificial intelligence, with functions such as data acquisition, storage, data analysis and presentation. The system provides a comprehensive and wide-ranging monitoring network of water, air and soil ecological environment. It has been implemented and applied to provide data support for environmental management and needy users, form a list of ecological assets, and to promote environmental pollution control.

关 键 词： 环境监测 物联网 大数据 环境污染

领　　域： []