用于空气质量监测的低成本传感器——技术现状及应用综述

IF 0.7 Q3 MULTIDISCIPLINARY SCIENCES
P. Buček, Petr Maršolek, J. Bílek
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引用次数: 6

摘要

近年来,使用廉价传感器监测空气质量已成为传统分析技术的一种有趣的替代方法。除了巨大的价格差异外,传统技术需要由商业或研究实验室的训练有素的人员进行。能够测量灰尘、臭氧、氮和硫氧化物或其他空气污染物的传感器是相对简单的电子设备,其大小与移动电话相当。它们为公众提供了监测空气质量的机会,有助于开展不同地区规模、商业资金或社区基础的各种项目。由于传感器价格低廉,因此产生了测量数据质量的问题。这个问题是由一些研究集中在比较传感器数据与参考测量数据。感官测量受被监测分析物、特定传感器的类型和设计以及测量条件的影响。目前,传感器网络作为空气质量监测站网络的额外信息来源,其中网络的密度提供了该地区可能超过污染物浓度特定测量值的浓度趋势和参考测量的低不确定性。各种类型传感器的不断发展正在导致改进,传感器与传统监测技术之间的数据质量差异可能会减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-Cost Sensors for Air Quality Monitoring - the Current State of the Technology and a Use Overview
Abstract In recent years the monitoring of air quality using cheap sensors has become an interesting alternative to conventional analytical techniques. Apart from vast price differences conventional techniques need to be performed by the trained personnel of commercial or research laboratories. Sensors capable of measuring dust, ozone, nitrogen and sulphur oxides, or other air pollutants are relatively simple electronic devices, which are comparable in size to a mobile phone. They provide the general public with the possibility to monitor air quality which can contribute to various projects that differ in regional scale, commercial funding or community-base. In connection with the low price of sensors arises the question of the quality of measured data. This issue is addressed by a number of studies focused on comparing the sensor data with the data of reference measurements. Sensory measurement is influenced by the monitored analyte, type and design of the particular sensor, as well as by the measurement conditions. Currently sensor networks serve as an additional source of information to the network of air quality monitoring stations, where the density of the network provides concentration trends in the area that may exceed specific measured values of pollutant concentrations and low uncertainty of reference measurements. The constant development of all types of sensors is leading to improvements and the difference in data quality between sensors and conventional monitoring techniques may be reduced.
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来源期刊
Chemistry-Didactics-Ecology-Metrology
Chemistry-Didactics-Ecology-Metrology MULTIDISCIPLINARY SCIENCES-
CiteScore
1.50
自引率
50.00%
发文量
2
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