Enabling low-cost particulate matter measurement for participatory sensing scenarios

M. Budde, R. M. Masri, T. Riedel, M. Beigl
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引用次数: 90

Abstract

This paper presents a mobile, low-cost particulate matter sensing approach for the use in Participatory Sensing scenarios. It shows that cheap commercial off-the-shelf (COTS) dust sensors can be used in distributed or mobile personal measurement devices at a cost one to two orders of magnitude lower than that of current hand-held solutions, while reaching meaningful accuracy. We conducted a series of experiments to juxtapose the performance of a gauged high-accuracy measurement device and a cheap COTS sensor that we fitted on a Bluetooth-enabled sensor module that can be interconnected with a mobile phone. Calibration and processing procedures using multi-sensor data fusion are presented, that perform very well in lab situations and show practically relevant results in a realistic setting. An on-the-fly calibration correction step is proposed to address remaining issues by taking advantage of co-located measurements in Participatory Sensing scenarios. By sharing few measurement across devices, a high measurement accuracy can be achieved in mobile urban sensing applications, where devices join in an ad-hoc fashion. A performance evaluation was conducted by co-locating measurement devices with a municipal measurement station that monitors particulate matter in a European city, and simulations to evaluate the on-the-fly cross-device data processing have been done.
为参与式传感场景实现低成本颗粒物测量
本文提出了一种用于参与式传感场景的移动、低成本颗粒物传感方法。它表明,廉价的商用现货(COTS)粉尘传感器可以用于分布式或移动个人测量设备,其成本比目前的手持式解决方案低一到两个数量级,同时达到有意义的精度。我们进行了一系列的实验,将高精度测量设备和廉价的COTS传感器的性能并置,我们将其安装在蓝牙传感器模块上,该传感器模块可以与移动电话相连。提出了使用多传感器数据融合的校准和处理程序,该程序在实验室环境中表现良好,并在现实环境中显示出实际相关的结果。提出了一种实时校准校正步骤,通过利用参与式传感场景中的共定位测量来解决遗留问题。通过在设备之间共享少量测量,可以在移动城市传感应用中实现高测量精度,其中设备以ad-hoc方式加入。通过将测量设备与欧洲某城市的市政颗粒物监测站放置在同一位置,进行了性能评估,并进行了模拟,以评估实时的跨设备数据处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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