In this study, we aim to conduct real-time sensing of indoor dust concentration distribution to mitigate the airborne transmission of coronaviruses. Airborne infection, facilitated by viruses present in particulate matter, emphasizes the importance of monitoring dust concentration as an indicator of virus spread. Our approach involves the implementation of a time-synchronized wireless sensor network for real-time sensing of dust concentration distribution. The time-synchronized wireless sensor network relies on a proposed time-synchronization algorithm, ensuring a time error of less than ± 1.27 ms. This precision enables the measurement of even fast-moving dust particles. To validate the feasibility of the wireless time-synchronized sensor network, we utilized a dust ejector (air cannon) and positioned time-synchronized sensors in a row. Dust particles released from the ejector passed through each time-synchronized sensor terminal. Simultaneously, a video recording (60 frames) was conducted, and the measured times of the time-synchronized sensor terminals were compared with the lap times of the video. The results of this comparison revealed identical lap times between the time-synchronized sensor data and the video, affirming the successful operation of the time-synchronized wireless distributed sensor node as designed.

在这项研究中，我们的目标是对室内灰尘浓度分布进行实时传感，以减轻冠状病毒的空气传播。由颗粒物中存在的病毒促进的空气传播感染强调了监测灰尘浓度作为病毒传播指标的重要性。我们的方法涉及实施时间同步无线传感器网络，以实时感测灰尘浓度分布。时间同步无线传感器网络依赖于所提出的时间同步算法，确保时间误差小于±1.27 ms。这种精度甚至可以测量快速移动的灰尘颗粒。为了验证无线时间同步传感器网络的可行性，我们使用了除尘器（空气炮）并将时间同步传感器排成一排。从喷射器释放的灰尘颗粒穿过每个时间同步的传感器端子。同时进行视频记录（60帧），并将时间同步传感器终端的测量时间与视频的单圈时间进行比较。比较结果显示时间同步传感器数据和视频之间的单圈时间相同，证实了时间同步无线分布式传感器节点的设计成功运行。