Field comparison of electrochemical gas sensor data correction algorithms for ambient air measurements

Liang, Yue; Wu, Cheng; Jiang, Shutong; Li, Yong Jie; Wu, Dui; Li, Mei; Cheng, Peng; Yang, Wanqin; Cheng, Chunlei; Li, Lei; Deng, Tao; Sun, Jia; He, Guojin; Liu, Ben; Yao, Tingting; Wu, Manman; Zhou, Zhen

doi:10.1016/j.snb.2020.128897

Cited by 48 publications

(28 citation statements)

References 63 publications

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“…Substantial algorithmic developments have been proposed in the last decade on the best ways to build those maps. These algorithmic developments slightly differ in ambition and scope, whether the eNoses are mounted in mobile platforms based on terrestrial or aerial robots [198]- [202], or by deploying chemical sensor networks over the area of interest [203]- [205]. The use of machine learning methods for sensor array calibration in this application scenario has been widely explored [206].…”

Section: C5) Chemical Mapping and Chemical Source Localizationmentioning

confidence: 99%

Artificial Olfaction in the 21^st Century

et al. 2021

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The human olfactory system remains one of the most challenging biological systems to replicate. Humans use it without thinking, where it can equally offer protection from harm and bring enjoyment in equal measure. It is the system's ability to detect and analyze complex odors, without the need for specialized infra-structure, that is the envy of many scientists. The field of artificial olfaction has recruited and stimulated interdisciplinary research and commercial development for several applications that include malodor measurement, medical diagnostics, food and beverage quality, environment and security. Over the last century, innovative engineers and scientists have been focused on solving a range of problems associated with measurement and control of odor. The IEEE Sensors Journal has published Special Issues on olfaction in 2002 and 2012. Here we continue that coverage. In this article, we summarize early work in the 20 th Century that served as the foundation upon which we have been building our odormonitoring instrumental and measurement systems. We then examine the current state of the art that has been achieved over the last two decades as we have transitioned into the 21 st Century. Much has been accomplished, but great progress is needed in sensor technology, system design, product manufacture and performance standards. In the final section, we predict levels of performance and ubiquitous applications that will be realized during in the mid to late 21 st Century.

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Section: C5) Chemical Mapping and Chemical Source Localizationmentioning

confidence: 99%

Artificial Olfaction in the 21^st Century

et al. 2021

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“…The impact of temperature and humidity on electrochemical sensors response was addressed recently in [ 30 ] using multiple linear regression.…”

Section: Empirical Unsupervised Recalibration Strategymentioning

confidence: 99%

Empiric Unsupervised Drifts Correction Method of Electrochemical Sensors for in Field Nitrogen Dioxide Monitoring

Laref

Losson

Sava

et al. 2021

Sensors

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This paper investigates the long term drift phenomenon affecting electrochemical sensors used in real environmental conditions to monitor the nitrogen dioxide concentration [NO2]. Electrochemical sensors are low-cost gas sensors able to detect pollutant gas at part per billion level and may be employed to enhance the air quality monitoring networks. However, they suffer from many forms of drift caused by climatic parameter variations, interfering gases and aging. Therefore, they require frequent, expensive and time-consuming calibrations, which constitute the main obstacle to the exploitation of these kinds of sensors. This paper proposes an empirical, linear and unsupervised drift correction model, allowing to extend the time between two successive full calibrations. First, a calibration model is established based on multiple linear regression. The influence of the air temperature and humidity is considered. Then, a correction model is proposed to solve the drift related to age issue. The slope and the intercept of the correction model compensate the change over time of the sensors’ sensitivity and baseline, respectively. The parameters of the correction model are identified using particle swarm optimization (PSO). Data considered in this work are continuously collected onsite close to a highway crossing Metz City (France) during a period of 6 months (July to December 2018) covering almost all the climatic conditions in this region. Experimental results show that the suggested correction model allows maintaining an adequate [NO2] estimation accuracy for at least 3 consecutive months without needing any labeled data for the recalibration.

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“…The main drawback is the high sensitivity to relative humidity, temperature, and high gas concentrations, which can cause electrode poisoning. Chemical sensors also show a high-temperature dependence, resulting in offsets or influencing the sensor response times [12][13][14][15][16][17].…”

Section: Electrochemical Sensorsmentioning

confidence: 99%

“…This principle is primarily used for the detection of harmful VOCs in the environmental air. Modern PID solutions are already capable to measure concentrations of organic compounds around 1-10 ppb and have typical response times of a few seconds [10][11][12][13].…”

Section: Photoionization Sensorsmentioning

confidence: 99%

Mobile Detection and Alarming Systems for Hazardous Gases and Volatile Chemicals in Laboratories and Industrial Locations

Al-Okby

Neubert

Roddelkopf

et al. 2021

Sensors

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The leakage of hazardous gases and chemical vapors is considered one of the dangerous accidents that can occur in laboratories, workshops, warehouses, and industrial sites that use or store these substances. The early detection and alarming of hazardous gases and volatile chemicals are significant to keep the safety conditions for the people and life forms who are work in and live around these places. In this paper, we investigate the available mobile detection and alarming systems for toxic, hazardous gases and volatile chemicals, especially in the laboratory environment. We included papers from January 2010 to August 2021 which may have the newest used sensors technologies and system components. We identified (236) papers from Clarivate Web of Science (WoS), IEEE, ACM Library, Scopus, and PubMed. Paper selection has been done based on a fast screening of the title and abstract, then a full-text reading was applied to filter the selected papers that resulted in (42) eligible papers. The main goal of this work is to discuss the available mobile hazardous gas detection and alarming systems based on several technical details such as the used gas detection technology (simple element, integrated, smart, etc.), sensor manufacturing technology (catalytic bead, MEMS, MOX, etc.) the sensor specifications (warm-up time, lifetime, response time, precision, etc.), processor type (microprocessor, microcontroller, PLC, etc.), and type of the used communication technology (Bluetooth/BLE, Wi-Fi/RF, ZigBee/XBee, LoRa, etc.). In this review, attention will be focused on the improvement of the detection and alarming system of hazardous gases with the latest invention in sensors, processors, communication, and battery technologies.

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Field comparison of electrochemical gas sensor data correction algorithms for ambient air measurements

Cited by 48 publications

References 63 publications

Artificial Olfaction in the 21^st Century

Artificial Olfaction in the 21^st Century

Empiric Unsupervised Drifts Correction Method of Electrochemical Sensors for in Field Nitrogen Dioxide Monitoring

Mobile Detection and Alarming Systems for Hazardous Gases and Volatile Chemicals in Laboratories and Industrial Locations

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Field comparison of electrochemical gas sensor data correction algorithms for ambient air measurements

Cited by 48 publications

References 63 publications

Artificial Olfaction in the 21st Century

Artificial Olfaction in the 21st Century

Empiric Unsupervised Drifts Correction Method of Electrochemical Sensors for in Field Nitrogen Dioxide Monitoring

Mobile Detection and Alarming Systems for Hazardous Gases and Volatile Chemicals in Laboratories and Industrial Locations

Contact Info

Product

Resources

About

Artificial Olfaction in the 21^st Century

Artificial Olfaction in the 21^st Century