开发基于云的空气质量监测平台,使用低成本传感器
Abdul Samad1, Joschka Kieser1, Ioannis Chourdakis1
1Institute of Combustion and Power Plant Technology (IFK), Department of Flue Gas Cleaning and Air Quality Control, University of Stuttgart, Pfaffenwaldring 23, 70569 Stuttgart, Germany.
Sensors (Basel, Switzerland)
|February 10, 2024
概括
这项研究开发了一个低成本的基于云的空气质量监测网络. 该系统提供关于颗粒物和气体的高分辨率数据,改善空间空气质量洞察力.
科学领域:
- 环境科学 环境科学
- 传感器技术 传感器技术
- 数据科学数据科学数据科学
背景情况:
- 传统的空气质量监测使用昂贵的设备,导致数据稀缺和缺失污染热点.
- 现有的方法缺乏全面的区域范围的空气质量评估所需的空间和时间分辨率.
研究的目的:
- 开发一个具有成本效益的,基于云计算的空气质量测量平台网络.
- 在空气质量数据收集中实现更高的空间和时间分辨率.
- 测量包括颗粒物和各种气体在内的关键空气质量参数.
主要方法:
- 设计和构建了一个低成本的基于云的空气质量测量平台.
- 集成的颗粒物 (PM10,PM2.5,PM1) 和气体 (NO,NO2,O3,CO) 以及温度和湿度传感器.
- 在城市交通和偏远的铁路站点部署了三个原型进行实地测试.
- 研究了使用比例整数导数 (PID) 控制器来减轻对传感器数据的气象影响.
主要成果:
- 开发的平台成功地以高频率测量了多个空气质量参数.
- 在繁忙的交通和偏远的铁路站点进行实地测试,证明了该系统的稳定性.
- 一个空气质量传感器节点的材料成本约为1500欧元.
- 该系统将传感器数据传输到云服务器进行处理和存储.
结论:
- 开发的低成本平台为高分辨率空气质量监测提供了可行的解决方案.
- 该系统的稳定性和成本效益使其适合广泛部署.
- 通过应对气象影响,可能使用PID控制,可以进一步提高数据质量.
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