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首页> 外文会议>Joint annual meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology >Applying Low-Cost Sensors for Personal Particulate Matter and Noise Exposure Assessment
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Applying Low-Cost Sensors for Personal Particulate Matter and Noise Exposure Assessment

机译：将低成本传感器应用于个人颗粒物和噪声暴露评估

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Low-cost sensors offer the possibility to gain more insight into personal exposure. Compared to traditional methods, sensors provide more high resolution data in space and time. However, there is a gap in understanding how these devices perform and how they can be applied for actual prevention. The overall aim of this study was to examine the accuracy and precision of low-cost sensors for particulate matter (PM) and noise and to study their field application. Two different low-cost PM (OPC-N2, Alphasense; SDL607, Nova Fitness) and two low-cost noise sensors (Rion NL-27; Noise Sentry) were compared (concordance correlation coefficient (ccc)) to reference devices and relatively calibrated. Next, the low-cost sensors were deployed to measure personal exposure of construction, roadside and desk workers. In addition, observations and questionnaires were used to obtain contextual information. The OPC-N2 was strongly correlated for PM2.5 (average ccc=0.78) while the SDL607 (data per 5 minutes) showed moderate correlations (average ccc=0.43) compared to a reference device. The field measurement demonstrated that construction workers had the highest exposure of PM2.5 (N=5, median=13.68 μg/m3) compared to roadside (N=6, median=2.19 μg/m3) and desk workers (N=4, median=0.09 μg/m3). Average noise exposure varied between 62-79 dB and 74-87 dB for the Rion NL-27 and Noise Sentry, respectively. Furthermore, peaks in exposure for noise and PM 2.5 could be explained based on contextual information. In conclusion, the tested PM2.5 and noise sensors showed rather accurate and precise results at least within sensor types, which could subsequently be used for real time prevention of high exposures. These sensor results highlight their importance of sensor technology as a promising tool with respect to the exposome concept aiming to measure the totality of a person's lifetime exposure.
机译：低成本传感器提供了更多了解个人接触的可能性。与传统方法相比，传感器在空间和时间上提供了更高的分辨率数据。但是，在理解这些设备的性能以及如何将其应用于实际预防方面存在差距。这项研究的总体目标是检查低成本传感器中颗粒物（PM）和噪声的准确性和精密度，并研究其现场应用。将两个不同的低成本PM（OPC-N2，Alphasense; SDL607，Nova Fitness）和两个低成本噪声传感器（Rion NL-27; Noise Sentry）与参考设备进行了比较（一致性相关系数（ccc）），并进行了相对校准。接下来，部署了低成本传感器来测量建筑工人，路边工人和办公桌工人的个人暴露情况。此外，还使用观察和问卷调查来获取上下文信息。与参考设备相比，OPC-N2与PM2.5密切相关（平均ccc = 0.78），而SDL607（每5分钟数据）显示中等程度的相关性（平均ccc = 0.43）。现场测量表明，与路边（N = 6，中位数= 2.19μg/ m3）和值班人员（N = 4，中位数= 0.09μg/ m3）。 Rion NL-27和Noise Sentry的平均噪声暴露分别在62-79 dB和74-87 dB之间。此外，可以基于上下文信息解释噪声和PM 2.5的暴露峰值。总之，经过测试的PM2.5和噪声传感器至少在传感器类型内显示出相当准确的结果，随后可用于实时防止高曝光。这些传感器结果凸显了传感器技术作为针对旨在衡量一个人一生的暴露总量的暴露概念的有前途的工具的重要性。

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