학술논문

Efficient and Automated Generation of Orthogonal Atmospheres for the Characterization of Low-Cost Gas Sensor Systems in Air Quality Monitoring
Document Type
Periodical
Source
IEEE Transactions on Instrumentation and Measurement IEEE Trans. Instrum. Meas. Instrumentation and Measurement, IEEE Transactions on. 71:1-10 2022
Subject
Power, Energy and Industry Applications
Components, Circuits, Devices and Systems
Sensor systems
Gas detectors
Instruments
Pollution measurement
Calibration
Protocols
Atmospheric measurements
Air quality monitoring
calibration
design of experiments
gas sensor
low cost
metrology
Language
ISSN
0018-9456
1557-9662
Abstract
This article presents a compact continuous-flow automaton for the metrological characterization of an array of low-cost gas sensor systems (up to 17 devices) used in air quality monitoring. The automaton readily generates homogeneous gas mixtures of carbon monoxide (CO), nitrogen monoxide (NO) and dioxide (NO 2 ), and ozone (O 3 ) in the parts-per-billion range (ppb, nmol mol $^{-1}$ ) that are stable, that is, dispersion of 1 ppb (NO, NO 2 , O 3 ) and 9 ppb (CO), with response times of 2 min (CO, NO, O 3 ) and 30 min (NO 2 ). The resulting mixtures, which are traceable to the International System of Units (SI) due to the usage of calibrated high-grade reference instruments, can be humidified [0%–60% relative humidity (RH)] and, in addition, the devices under test (DUTs) can be heated (to temperatures between 5 °C and 30 °C) to systematically simulate different atmospheric environments. The application of fractional factorial designs makes the protocol efficient and leads to orthogonal variables. With the presented installation, ten low-cost gas sensor systems are calibrated and an uncertainty estimation is performed. The average values of the relative standard uncertainties across all DUTs are estimated as 52% (CO), 61% (NO), 22% (NO 2 ), and 21% (O 3 ).