基于大数据和物联网的空气质量预测监测研究

doi:10.11959/j.issn.1000-436x.2017266

Abstract

Abstract:

Air quality forecast has become an urgent need.However,numerical forecast of air quality is a complex systems engineering.The intelligent forecasting of air index was studied from the perspective of big data and intelligent decision making.For the index prediction of air quality,the popular classification algorithm was introduced to realize the intelligent analysis of historical data.To obtain air quality information in real time,a monitoring system based on Internet of Things was established,and intelligent processing of real-time data collected by the classification algorithm was achieved.Due to the large amount of historical air index data and real-time data collected,the technology of cloud computing and big data was introduced to speed up the data processing and improve the storage of data.In addition,the client based on Android was developed to allow users to query the air quality anytime,anywhere.

Key words: air quality, intelligent forecast, air quality monitoring, Android

CLC Number:

TP391

Yan LIU,Yong-ping ZHANG,Cheng ZHU,Jun GAO,Qi-ming LIU. Intelligent forecasting and monitoring of air index based on big data and internet of things[J]. Journal on Communications, 2017, 38(Z2): 129-138.

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References 19

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空气质量	AQI指数	PM2.5日均浓度	PM10日均浓度	活动建议
优	0~50	0~35	0~50	各类人群正常活动
良	51~100	35~75	51~150	极少数敏感人群应减少户外活动
轻度污染	101~150	75~115	151~250	儿童、老年人应减少户外活动时间
中度污染	151~200	115~150	251~350	一般人群应适量减少户外活动时间
重度污染	201~250	150~250	351~420	一般人群应尽量减少户外活动时间
严重污染	250~500	250~500	421~500	一般人群应避免户外活动

Intelligent forecasting and monitoring of air index based on big data and internet of things

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