Low-cost air quality monitoring system design and comparative analysis with a conventional method

Jacob, Mbarndouka Taamté; Michaux, Kountchou Noubé; Bodo, Bertrand; Flore, Tchuente Siaka Yvette; Nasser, Nducol; Signing, V. R. Folifack; Line, Tagne Mogue Ruth; Saïdou, -

doi:10.1007/s40095-021-00415-y

Cited by 7 publications

(4 citation statements)

References 27 publications

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“…The developed system is locally manufactured and consists of a set of microcontroller board, XBee S2C modules and air pollutant sensors whose reliability has been confirmed in [39][40][41][42][43][44][45]. The data were collected in two different coastal cities of Cameroon (Douala and Kribi) during the month of December 2022.…”

Section: Jinst 19 P05036mentioning

confidence: 99%

“…The Arduino Integrated Development Environment (IDE) program for real-time measurement of gas concentration in ppm is based on the log-log plot function. To use this function, we need two points on the datasheet (𝑥 1 ; 𝐹 1 ) and (𝑥 0 ; 𝐹 0 ) belonging to the curve of measured gas [44,[47][48][49]. The slope 𝒎 of the line passing through these two points is obtained based on a logarithmic ratio.…”

Section: Sensor Configuration and Pre-calibrationmentioning

confidence: 99%

“…Both instruments measured PM 2.5 concentrations. The ratio of the concentrations obtained by the two instruments provides a calibration factor for configuring the electronic PM sensors [44]. This was the subject of our initial work on low-cost sensors.…”

Section: Jinst 19 P05036mentioning

confidence: 99%

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Real-time air quality monitoring based on locally developed unmanned aerial vehicle and low-cost smart electronic device

Taamté,

Noube,

Signing

et al. 2024

J. Inst.

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This article deals with the development of real-time air quality monitoring based on Unmanned Aerial Vehicles (UAVs) and low-cost Internet of Things (IoT) devices. This investigation aims to design and develop an UAV-based platform that can monitor a large number of air pollutants in real-time with high spatial and temporal resolution. The proposed environmental monitoring system consists of five main elements, namely the UAV, sensors, data storage module, programmable card, and IoT communication module. Estimated pollutants such as particulate matter (PM2.5) and toxic gases (carbon monoxide CO, nitrogen dioxide NO2, and carbon dioxide CO2) are detected by low-cost sensors. The ZigBee wireless protocol is used for communication between the PC and UAV. This work is carried out to assess the air quality in urban areas, given the heavy road traffic and the emissions of some companies. The data analyzed were collected from December 2, 2022 to January 3, 2023, in two major cities of Cameroon, Douala and Kribi. The periodic average values of the detected pollutants are 222 ± 22 μg/m3 and 85.7 ± 8.6 μg/m3 for PM2.5, 560.8 ± 1.0 ppm and 555.6 ± 1.0 ppm for CO2, 4.2 ± 0.2 ppm and 0.7 ± 0.1 ppm for NO2, and 27.6 ± 2.8 ppm and 4.5 ± 0.5 ppm for CO in Douala and Kribi respectively. This made it possible to have an air quality index (AQI) of 444.2 for Douala City and 171.3 for Kribi City. These high values indicate poor air quality during the measurement period.

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Section: Jinst 19 P05036mentioning

confidence: 99%

Section: Sensor Configuration and Pre-calibrationmentioning

confidence: 99%

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Real-time air quality monitoring based on locally developed unmanned aerial vehicle and low-cost smart electronic device

Taamté,

Noube,

Signing

et al. 2024

J. Inst.

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“…[46] Evaluated the performance of a low-cost air sensor network for a period of approximately 18 month at the community scale. [47] Compared the results for PM from two devices: GENT stacked Filter Unit sampler and a microcontroller board with low-cost sensors. [48] Developed a hierarchical air quality measurement network, grounded in high-quality, compliant reference stations and extended to neighbourhood scale using low-cost sensors.…”

Section: [44]mentioning

confidence: 99%

Challenges and Opportunities in Calibrating Low-Cost Environmental Sensors

Nalakurthi,

Abimbola,

Ahmed

et al. 2024

Sensors

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The use of low-cost environmental sensors has gained significant attention due to their affordability and potential to intensify environmental monitoring networks. These sensors enable real-time monitoring of various environmental parameters, which can help identify pollution hotspots and inform targeted mitigation strategies. Low-cost sensors also facilitate citizen science projects, providing more localized and granular data, and making environmental monitoring more accessible to communities. However, the accuracy and reliability of data generated by these sensors can be a concern, particularly without proper calibration. Calibration is challenging for low-cost sensors due to the variability in sensing materials, transducer designs, and environmental conditions. Therefore, standardized calibration protocols are necessary to ensure the accuracy and reliability of low-cost sensor data. This review article addresses four critical questions related to the calibration and accuracy of low-cost sensors. Firstly, it discusses why low-cost sensors are increasingly being used as an alternative to high-cost sensors. In addition, it discusses self-calibration techniques and how they outperform traditional techniques. Secondly, the review highlights the importance of selectivity and sensitivity of low-cost sensors in generating accurate data. Thirdly, it examines the impact of calibration functions on improved accuracies. Lastly, the review discusses various approaches that can be adopted to improve the accuracy of low-cost sensors, such as incorporating advanced data analysis techniques and enhancing the sensing material and transducer design. The use of reference-grade sensors for calibration and validation can also help improve the accuracy and reliability of low-cost sensor data. In conclusion, low-cost environmental sensors have the potential to revolutionize environmental monitoring, particularly in areas where traditional monitoring methods are not feasible. However, the accuracy and reliability of data generated by these sensors are critical for their successful implementation. Therefore, standardized calibration protocols and innovative approaches to enhance the sensing material and transducer design are necessary to ensure the accuracy and reliability of low-cost sensor data.

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Real-Time Hospital Air Quality Monitoring Based on a Low-Cost Smart Electronic Device and Health Risk Assessment

Taamté,

Nducol,

Ahmadou

et al. 2024

Advances in Air Quality Research in Africa

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Low-cost air quality monitoring system design and comparative analysis with a conventional method

Cited by 7 publications

References 27 publications

Real-time air quality monitoring based on locally developed unmanned aerial vehicle and low-cost smart electronic device

Real-time air quality monitoring based on locally developed unmanned aerial vehicle and low-cost smart electronic device

Challenges and Opportunities in Calibrating Low-Cost Environmental Sensors

Real-Time Hospital Air Quality Monitoring Based on a Low-Cost Smart Electronic Device and Health Risk Assessment

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