In-situ Calibration of Networked Air-Quality Sensor Nodes

M. Marinov
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引用次数: 1

Abstract

Fixed monitoring stations are mostly used for air quality monitoring. Unfortunately, they are very expensive both in terms of initial investment and maintenance. Low-cost air quality sensors have emerged as an alternative for measuring basic air quality parameters. They are based on technologies that allow for real-time measurements. However, their use poses some challenges, such as accuracy and longterm stability. The accuracy of these low-cost sensors can be difficult to guarantee as they are often in harsh environments and are more susceptible to environmental impacts than high-end measurement devices. Periodic calibration of sensors has proven to be an effective approach for improving the accuracy of low-cost sensor data and maintaining its reliability when used in sensor networks for long-term monitoring. This article explores approaches to calibrate low-cost sensors used in wireless network applications to measure fine particulate matter concentrations. Some research challenges and directions for future research are presented.
网络空气质量传感器节点的原位校准
固定监测站多用于空气质量监测。不幸的是,它们在初始投资和维护方面都非常昂贵。低成本的空气质量传感器已经成为测量基本空气质量参数的一种替代方法。它们基于允许实时测量的技术。然而,它们的使用带来了一些挑战,例如准确性和长期稳定性。这些低成本传感器的准确性很难保证,因为它们通常处于恶劣的环境中,并且比高端测量设备更容易受到环境影响。在传感器网络中进行长期监测时,对传感器进行周期性校准已被证明是提高低成本传感器数据准确性和保持其可靠性的有效方法。本文探讨了校准无线网络应用中用于测量细颗粒物浓度的低成本传感器的方法。提出了今后研究的挑战和方向。
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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