To tackle the challenge of the data accuracy issues of low-cost sensors (LCSs), the objective of this work was to obtain robust correction equations to convert LCS signals into data comparable to that of research-grade instruments using side-by-side comparisons. Limited sets of seed LCS devices, after laboratory evaluations, can be installed strategically in areas of interest without official monitoring stations to enable reading adjustments of other uncalibrated LCS devices to enhance the data quality of sensor networks. The robustness of these equations for LCS devices (AS-LUNG with PMS3003 sensor) under a hood and a chamber with two different burnt materials and before and after 1.5 years of field campaigns were evaluated. Correction equations with incense or mosquito coils burning inside a chamber with segmented regressions had a high R² of 0.999, less than 6.0% variability in the slopes, and a mean RMSE of 1.18 µg/m³ for 0.1–200 µg/m³ of PM_2.5, with a slightly higher RMSE for 0.1–400 µg/m³ compared to EDM-180. Similar results were obtained for PM₁, with an upper limit of 200 µg/m³. Sensor signals drifted 19–24% after 1.5 years in the field. Practical recommendations are given to obtain equations for Federal-Equivalent-Method-comparable measurements considering variability and cost.

中文翻译：

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传感器网络中种子低成本粒子传感设备的多项选择校正方程的实验室评估。

为了应对低成本传感器（LCS）的数据准确性问题的挑战，这项工作的目的是获得强大的校正方程，以便通过并行比较将LCS信号转换为与研究级仪器相当的数据。经过实验室评估后，可以有限地安装数量有限的种子LCS设备，而无需官方监测站即可将其策略性地安装在感兴趣的区域中，以实现其他未校准LCS设备的读数调整，从而提高传感器网络的数据质量。这些方程对于LCS设备（带有PMS3003传感器的AS-LUNG）在带有两种不同燃烧材料的发动机罩和燃烧室下以及进行野战1.5年之前和之后的鲁棒性进行了评估。带有香炉或蚊香在燃烧室内燃烧的校正方程，具有分段回归，其R高² 0.999，小于6.0％，在斜坡可变性，和1.18微克/ m的平均RMSE ³为0.1-200微克/米³的PM _2.5，与0.1-400微克/ m的略高RMSE ³相比EDM-180。对于PM ₁也获得了类似的结果，其上限为200 µg / m ³。1.5年后，传感器信号漂移了19–24％。给出了实用的建议，以考虑可变性和成本来获得与联邦等效方法可比的测量方程。