Dynamics of Aerosol Transport for Indoor Ventilation–Remote Enhancement of Smart Aerosol Measurement System Using Raspberry Pi-Based Distributed Sensors
Gazi Hasanuzzaman, Tom Buchwald, Christoph Schunk, Christoph Egbers, Andreas Schröder, Uwe Hampel
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引用次数: 0
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.
封闭的公共场所是空气传播疾病的热点。为了测量和维护室内空气传播质量，我们开发了一种开源、低成本的分布式颗粒物传感器阵列，并将其命名为 "室内通风气溶胶动态传输系统"（DATIV）。该系统可同时使用多个颗粒物传感器（PMS），并可使用基于 Raspberry Pi 的操作系统进行远程控制。数据采集系统可通过安装在具有相应 IP 地址的远程设备（如个人电脑或智能手机）上的任何普通浏览器中的图形用户界面轻松操作。本文介绍了软件架构和验证测量结果，以及未来可能的发展。
期刊介绍：
Sensors (ISSN 1424-8220) provides an advanced forum for the science and technology of sensors and biosensors. It publishes reviews (including comprehensive reviews on the complete sensors products), regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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