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基于物联感知的空气质量监测系统 被引量:1

Air Quality Monitoring System Based on IOT Perception
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摘要 针对目前中小城市和城乡郊区空气质量监测网络不健全的现状,基于物联感知技术、嵌入式技术和Android技术设计了一套空气质量实时监测系统。该系统以32位嵌入式单片机STM32为控制核心,选用高精度传感器模组完成对PM2.5、PM10、SO_2、CO、O_3及NO_2等空气质量指标的采集;搭建远程服务器完成数据存储,并利用ArcGIS服务器提供地图服务,采用Android客户端和微信公众号完成数据的显示与管理,具有较好的可靠性、实时性和实用性。 Considering incomplete air quality monitoring network in small and middle-sized cities and suburbs and basing on IOT perception, embedded and Android technologies, a real-time air quality monitoring system was de- signed, which has an embedded STM32 SCM taken as the control core, selects high precision sensor to collect the data of PM2.5, PM10 and SO2, CO, O3 and NO2 and then has the data stored in a remote server established and the ArcGIS server adopted to provide map service as well as both Android client and WeChat official accounts em- ployed to display and manage these data. The air quality monitoring system designed has good reliability, real time performance and practicability.
出处 《化工自动化及仪表》 CAS 2017年第6期581-585,共5页 Control and Instruments in Chemical Industry
基金 国家自然科学基金项目(61473175) 山东省重点研发计划项目(2016GGX104015)
关键词 远程数据管理 空气质量实时监测系统 物联网 嵌入式STM32 ARCGIS ANDROID remote data management,real-time air quality monitoring system, IOT, embedded STM32, AreGIS,Android
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