Calibration of a cluster of low-cost sensors for the measurement of air pollution in ambient air

被引：0

作者：

Spinelle, Laurent ^{[1
]}

Gerboles, Michel ^{[1
]}

Villani, Maria Gabriella ^{[2
]}

Aleixandre, Manuel ^{[3
]}

Bonavitacola, Fausto ^{[4
]}

机构：

[1] European Commiss, Joint Res Ctr, Inst Enviromnent & Sustainabil IES, Air & Climate Unit, Via Enrico Fermi 2749, I-21027 Ispra, VA, Italy

[2] ENEA, Agenzia Nazl Nuove Tecnol, Energia & Sviluppo Econ Sosten, Ispra, VA, Italy

[3] CSIC, Inst Appl Phys, Madrid, Spain

[4] Phoenix Sistemi & Automaz Sagl, Muralto, TI, Switzerland

来源：

2014 IEEE SENSORS | 2014年

关键词：

gas sensors; ozone; nitrogen dioxide; air quality; measurement uncertainty; multivariate linear regression; neural network; ARRAY;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Using a clustered system of sensors able to measure O-3, NO/NO2, CO and CO2, we want to compare the performance of several calibration methods. Based on the outcome of the single sensor's evaluation, the suitability of this cluster is investigated using deterministic or statistical methods such as multivariate regression and neural networks. The objective of the study is to assess if the measurement uncertainty of sensors can reach the Data Quality Objective of the European Air Quality Directive for indicative methods.

引用

页码：21 / 24

页数：4

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