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基于树莓派分布式传感器的智能气溶胶测量系统的DATIV远程增强

DATIV-Remote Enhancement of Smart Aerosol Measurement System Using Raspberry Pi-Based Distributed Sensors.

作者信息

Hasanuzzaman Gazi, Buchwald Tom, Schunk Christoph, Egbers Christoph, Schröder Andreas, Hampel Uwe

机构信息

Department of Aerodynamics and Fluid Mechanics, Brandenburg University of Technology Cottbus-Senftenberg (BTU C-S), 03046 Cottbus, Germany.

Chair of Image Based Measurement Techniques, Brandenburg University of Technology Cottbus-Senftenberg (BTU C-S), 03046 Cottbus, Germany.

出版信息

Sensors (Basel). 2024 Jul 2;24(13):4314. doi: 10.3390/s24134314.

DOI:10.3390/s24134314
PMID:39001092
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11244025/
Abstract

Enclosed public spaces are hotspots for airborne disease transmission. To measure and maintain indoor air quality in terms of airborne transmission, an open source, low cost and distributed array of particulate matter sensors was developed and named Dynamic Aerosol Transport for Indoor Ventilation, or DATIV, system. This system can use multiple particulate matter sensors (PMSs) simultaneously and can be remotely controlled using a Raspberry Pi-based operating system. The data acquisition system can be easily operated using the GUI within any common browser installed on a remote device such as a PC or smartphone with a corresponding IP address. The software architecture and validation measurements are presented together with possible future developments.

摘要

封闭的公共空间是空气传播疾病的传播热点。为了在空气传播方面测量和维持室内空气质量,开发了一种开源、低成本且分布式的颗粒物传感器阵列,并将其命名为室内通风动态气溶胶传输(Dynamic Aerosol Transport for Indoor Ventilation,简称DATIV)系统。该系统可以同时使用多个颗粒物传感器(PMS),并可以通过基于树莓派的操作系统进行远程控制。数据采集系统可以使用远程设备(如具有相应IP地址的PC或智能手机)上安装的任何常见浏览器中的GUI轻松操作。本文介绍了软件架构、验证测量以及可能的未来发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a09/11244025/355a8576c0ef/sensors-24-04314-g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a09/11244025/0705d927df44/sensors-24-04314-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a09/11244025/cbfa67dab95d/sensors-24-04314-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a09/11244025/3d1be99eebc7/sensors-24-04314-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a09/11244025/355a8576c0ef/sensors-24-04314-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a09/11244025/883b5096bf6a/sensors-24-04314-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a09/11244025/2f1616acc91e/sensors-24-04314-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a09/11244025/0705d927df44/sensors-24-04314-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a09/11244025/cbfa67dab95d/sensors-24-04314-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a09/11244025/3d1be99eebc7/sensors-24-04314-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a09/11244025/355a8576c0ef/sensors-24-04314-g006.jpg

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本文引用的文献

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Large-scale flow field and aerosol particle transport investigations in a classroom using 2D-Shake-The-Box Lagrangian Particle Tracking.使用二维摇盒拉格朗日粒子追踪法对教室中的大规模流场和气溶胶颗粒传输进行研究。
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