Big Data Analysis and Application of Air Quality Monitoring Based on Mobile IoT
黄钦炎① HUANG Qin-yan;林庆丰① LIN Qing-feng;黄欣龙② HUANG Xin-long
(①广州交信投科技股份有限公司,广州 510000;②中山大学智能工程学院,广州 510000)
(①Guangzhou Jiaoxintou Technology Co.,Ltd.,Guangzhou 510000,China;
②School of Intelligent Systems Engineering,Sun Yat-sen University,Guangzhou 510000,China)
摘要: 依托现有公共交通资源,在公交车辆上搭载移动空气质量监测设备实时采集PM2.5、PM10等空气污染物监测数据,全面掌握路段区域空气质量污染的时空差异性,快速识别出污染因子,掌握其扩散与传播机理,形成智能化治理闭环。结果表明,基于移动物联的空气质量监测大数据分析应用可有效弥补原有固定监测模式的短板,使空气污染治理更加精细化、智能化。
Abstract: Relying on the existing public transport resources, real-time air pollutant monitoring data of PM2.5 and PM10, etc were collected by mobile air quality monitoring equipment on public transport vehicles, which could be used to comprehensively grasp the temporal and spatial differences of regional air quality pollution. The pollution factors would be quickly identified and diffusion mechanism could be known well, and an intelligent governance closed loop was formed. The result showed that the big data analysis and application of air quality monitoring based on mobile IOT could effectively make up for the shortcomings of the original fixed monitoring mode and make air pollution control more refined and intelligent.
关键词: 城市交通;空气质量监测;移动物联;公共交通;大数据
Key words: urban traffic;air quality monitoring;mobile IoT;public transport system;big data
中图分类号:U121 文献标识码:A 文章编号:1006-4311(2022)21-146-03
DOI:10.3969/j.issn.1006-4311.2022.21.046.
文章出处:黄钦炎,林庆丰,黄欣龙. 基于移动物联的空气质量监测大数据分析应用[J]. 价值工程,2022,41(21):146-148.
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