Toschke Yannic, Lusmoeller Janet, Otte Lars, Schmidt Johann, Meyer Svenja, Tessmer Alexander, Brockmann Christian, Ahuis Milena, Hüer Emma, Kirberger Christian, Berben Dirk
Department of Physics, Osnabrueck University, Barbarastrasse 7, Osnabrueck D-49076, Germany.
Department of Chemistry Education, Osnabrueck University, Barbarastrasse 7, Osnabrueck D-49076, Germany.
HardwareX. 2022 Apr;11:e00261. doi: 10.1016/j.ohx.2022.e00261. Epub 2022 Jan 10.
In the face of a global pandemic, such as that caused by the SARS-CoV-2 virus, the prevention of new infections is essential to stop the spread and ultimately return to normality. In addition to wearing masks and maintaining safe distances, regular ventilation in enclosed spaces where several people are gathered has proven to be an effective protective measure as advised by the World Health Organization. Additionally, as has been shown in a recent study of other airborne viruses, there is a strong correlation between the COlevel and aerosol content in a confined space under the assumption humans are the only COsource. This can be exploited by means of a low-cost infrared COsensor to indirectly monitor the aerosol content and to provide targeted ventilation if predefined thresholds are exceeded. The distributed COmonitoring network presented in this paper extends that idea and provides an inexpensive, comprehensive and modular monitoring network based on readily available components and 3D printing. By using a long-range communication link (LoRa) to centrally collect the real-time COconcentration in a multitude of rooms, this network is particularly suitable for larger building complexes such as kindergartens, schools and universities without requiring partial or even full WLAN coverage.
面对全球大流行,例如由SARS-CoV-2病毒引起的大流行,预防新感染对于阻止传播并最终恢复正常至关重要。除了佩戴口罩和保持安全距离外,世界卫生组织建议,在多人聚集的封闭空间内定期通风已被证明是一种有效的保护措施。此外,正如最近对其他空气传播病毒的研究所表明的那样,在假设人类是唯一一氧化碳来源的情况下,封闭空间内的一氧化碳水平与气溶胶含量之间存在很强的相关性。这可以通过低成本的红外一氧化碳传感器来利用,以间接监测气溶胶含量,并在超过预定义阈值时提供有针对性的通风。本文提出的分布式一氧化碳监测网络扩展了这一理念,并基于现成的组件和3D打印提供了一个廉价、全面且模块化的监测网络。通过使用远程通信链路(LoRa)集中收集多个房间内的实时一氧化碳浓度,该网络特别适用于幼儿园、学校和大学等大型建筑群,而无需部分甚至全部的WLAN覆盖。