A multi-gas sensing system for air quality monitoring

Huang, Chun-Ming; Liu, Yijun; Hsieh, Yi-Jie; Lai, Wei-Lin; Juan, Chun-Ying; Chen, Ssu-Ying; Yang, Chih-Chyau; Wu, Chien‐Wei

doi:10.1109/icasi.2018.8394393

Cited by 13 publications

(7 citation statements)

References 3 publications

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“…The state of the art presented in this article shows that the academic community is joining efforts to develop low-cost monitoring solutions, using IoT, to suppress the scarcity of information on air quality. It is clearly observed that the solutions proposed in articles [5], [6] and [7] monitor little gases and particulate matter. For WHO it is essential to monitor five main pollutants, described in [9], namely: PM10, PM2.5, Ozone (O3), Nitrogen Dioxide (NO2) and Sulfur Dioxide (NO2).…”

Section: Related Workmentioning

confidence: 96%

“…Huang et al published in [6] the development of an air quality monitoring platform capable of measuring the concentration of PM2.5 and gases formaldehyde (CH2O), carbon monoxide (CO) and CO2 -it is important to note that CO is more harmful to health than CO2. The article proposes a device in which an electronic circuit board was designed to couple the sensors used, namely: ME2-CO, MG811, ME2-CH2O, HTU21D and PMS3003.…”

Section: Related Workmentioning

confidence: 99%

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An IoT-based Air Quality Monitoring Platform

Medeiros

Girão

2020

2020 IEEE International Smart Cities Conference (ISC2)

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Air pollution is a major environmental problem and causes serious damage to human health. Considering the COVID-19 pandemic scenario, the importance of monitoring and controlling pollution emissions becomes more relevant and fundamental for combating the disease. Seeking to contribute with technological tools, this work presents a proposal for a system based on IoT using low sensors to monitor the most novice pollutants to health, according to the recommendations of the World Health Organization. The proposal presents the development in the hardware layer of a device able to measure the concentrations of the following pollutants: Particulate Material (PM2.5 and PM10), Ozone, Carbon Monoxide, Nitrogen Dioxide and Ammonia by means of three sensors, respectively, PMSA003, MICS-6814 and MQ-131. The device is be equipped with the ESP-WROOM-32 microcontroller that has a Wi-Fi and Bluetooth wireless interface that will allow data to be sent to a server in the cloud. It is important to note that what differentiates from the proposal from others is the implementation of periodic notifications and the sending of alerts for cases in which a given pollutant has reached the maximum acceptable concentration.

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Section: Related Workmentioning

confidence: 96%

Section: Related Workmentioning

confidence: 99%

An IoT-based Air Quality Monitoring Platform

Medeiros

Girão

2020

2020 IEEE International Smart Cities Conference (ISC2)

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“…In ECSs, the receiver mode can possibly be made by making the working electrode a sensing element and the counter electrode an extension of the transmitting electrode to pick transmitted electrons through the electrolyte [52][53][54]. In this case, the working electrode acts as a multi-channel receiver for multi-variable sensing, as exhibited in Figure 10 below [57].…”

Section: Electrochemical Gas Sensors (Ecss)mentioning

confidence: 99%

State-of-the-Art Low-Cost Air Quality Sensors, Assemblies, Calibration and Evaluation for Respiration-Associated Diseases: A Systematic Review

Tariq,

Touati,

Crescini

et al. 2024

Atmosphere

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Indoor air quality and respiratory health have always been an area of prime interest across the globe. The significance of low-cost air quality sensing and indoor public health practices spiked during the pandemic when indoor air pollution became a threat to living beings, especially human beings. Problem Definition: Indoor respiration-associated diseases are hard to diagnose if they are due to indoor environmental conditions. A major challenge was observed in establishing a baseline between indoor air quality sensors and associated respiratory diseases. Methods: In this work, 10,000+ articles from top literature databases were reviewed using six bibliometric analysis methods (Lorenz Curve of Citations, Hirch’s H-Index, Kosmulski’s H2-Index, Harzing’s Hl-Norm-Index, Sidoropolous’s HC-Index, and Schrieber’s HM-index) to formulate indoor air quality sensor and disease correlation publication rubrics to critically review 482 articles. Results: A set of 152 articles was found based on systematic review parameters in six bibliometric indices for publications that used WHO, NIH, US EPA, CDC, and FDA-defined principles. Five major respiratory diseases were found to be causing major death toll (up to 32%) due to five key pollutants, measured by 30+ low-cost sensors and further optimized by seven calibration systems for seven practical parameters tailored to respiratory disease baselines evaluated through 10 cost parameters. Impact: This review was conducted to assist end-users, public health facilities, state agencies, researchers, scientists, and air quality protection agencies.

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“…There are five approaches to sense in air quality measurements and their architectures and presented in Figure 6 [44]. Furthermore, there are five unique technologies in low-cost air quality gas sensors (AQGS): a) Optical Gas Sensors (OGS); b) Electrochemical Gas Sensor (ECS); c) Capacitive Gas Sensor (CGS); d) Calorimetric Gas Sensor (CMGS); and e) Acoustic Gas Sensor (AGS) [33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48]. The architectural and working principles are explained in detail in the respective sections.…”

Section: Indoor Epidemiology-focused Air Quality Gas Sensors (Aq-gs) ...mentioning

confidence: 99%

A Review of State-of-the-Art Low-Cost Sensors for Detection of Indoor Air Pollutants that Correlate with Health

Tariq,

Touati,

Crescini

et al. 2023

Preprint

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Indoor air quality and public health have always been an area of prime interest across the globe. The significance of low-cost air quality sensing and indoor public health practices spikes during the time of pandemic and epidemics when indoor air pollution becomes a threat to living beings especially human beings. Indoor diseases are hard to diagnose if they are due to the indoor environmental conditions. A major challenge was observed in establishing a baseline between the indoor air quality sensors and associated diseases. In this work, 10,000+ articles from top literature databases were reviewed using bibliometric analysis to formulate indoor air quality sensors and diseases correlation rubrics to critically review 500+ articles. A set of 200+ articles were selected based on for detailed study based on seven bibliometric indices for publications that used WHO, NIH, US EPA, CDC, and FDA defined principles. This review has been conducted to assist end-users, public health facilities, state agencies, researchers, scientists and air quality protection agencies.

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A multi-gas sensing system for air quality monitoring

Cited by 13 publications

References 3 publications

An IoT-based Air Quality Monitoring Platform

An IoT-based Air Quality Monitoring Platform

State-of-the-Art Low-Cost Air Quality Sensors, Assemblies, Calibration and Evaluation for Respiration-Associated Diseases: A Systematic Review

A Review of State-of-the-Art Low-Cost Sensors for Detection of Indoor Air Pollutants that Correlate with Health

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