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

Yan LIU; Yong-ping ZHANG; Cheng ZHU; Jun GAO; Qi-ming LIU

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

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

Papers | 更新时间：2024-06-05

- Intelligent forecasting and monitoring of air index based on big data and internet of things
- Journal on Communications Vol. 38, Issue Z2, Pages: 129-138(2017)
- 作者机构：
  
  1. 南京理工大学电子工程与光学工程学院，江苏南京 210094
  2. 盐城工学院信息工程学院，江苏盐城 224051
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61502411);The Innovation Foundation of Science and Technology Enterprises of Jiangsu Province(BC2015178);The Natural Science Fund of Colleges in Jiangsu(16KJB520042);Research Fund by Yancheng Institute of Technology(XJ2015017);Project of Collaborative Innovation Center of Ecological Building Materials and Environment Protection Equipment in Jiangsu Province(GX2015206);Project of Sate Key Laboratory of Millimeter Waves(K201731)
- DOI：10.11959/j.issn.1000-436x.2017266
  CLC： TP391
- Online First：2017-11，
  
  Published：25 November 2017
- 稿件说明：
移动端阅览
Yan LIU, Yong-ping ZHANG, Cheng ZHU, et al. Intelligent forecasting and monitoring of air index based on big data and internet of things[J]. Journal on Communications, 2017, 38(Z2): 129-138.
DOI：

Yan LIU, Yong-ping ZHANG, Cheng ZHU, et al. Intelligent forecasting and monitoring of air index based on big data and internet of things[J]. Journal on Communications, 2017, 38(Z2): 129-138. DOI： 10.11959/j.issn.1000-436x.2017266.

摘要

空气质量预监测已成为一种迫切需求，而这是一个复杂的系统工程。从基于大数据的智能决策角度研究智能空气指数预测，引入流行的分类算法，挖掘历史数据隐含的信息，实现空气质量预测；构建了基于物联网的空气质量监测系统，利用分类算法实现实时采集数据的智能处理。针对空气指数历史数据和实时采集数据规模较大的问题，为提高数据处理速度、增强空气质量预测的实时性，引入云计算技术加速数据处理；为使用户随时随地了解空气指数，还设计了基于Android平台开发空气指数预报客户端。

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.

关键词

Keywords

references

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