Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors

Per-Martin Jørstad; Marek Wójcikowski; Tuan-Vu Cao; Jean-Marie Lepioufle; Krystian Wojtkiewicz; Phuong Hoai Ha

doi:10.1007/978-981-99-5834-4_20

Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors

Abstrakt

Monitoring air pollution is a critical step towards improving public health, particularly when it comes to identifying the primary air pollutants that can have an impact on human health. Among these pollutants, particulate matter (PM) with a diameter of up to 2.5 μ m (or PM2.5) is of particular concern, making it important to continuously and accurately monitor pollution related to PM. The emergence of mobile low-cost PM sensors has made it possible to monitor PM levels continuously in a greater number of locations. However, the accuracy of mobile low-cost PM sensors is often questionable as it depends on geographical factors such as local atmospheric conditions. This paper presents new calibration methods for mobile low-cost PM sensors that can correct inaccurate measurements from the sensors in real-time. Our new methods leverage Neural Architecture Search (NAS) to improve the accuracy and efficiency of calibration models for mobile low-cost PM sensors. The experimental evaluation shows that the new methods reduce accuracy error by more than 26% compared with the state-of-the-art methods. Moreover, the new methods are lightweight, taking less than 2.5 ms to correct each PM measurement on Intel Neural Compute Stick 2, an AI-accelerator for edge devices deployed in air pollution monitoring platforms.

Cytowania

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Autorzy (6)

Per-Martin Jørstad
Marek Wójcikowski dr hab. inż.
Tuan-Vu Cao
Jean-Marie Lepioufle
Krystian Wojtkiewicz
Phuong Hoai Ha

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Słowa kluczowe

AIR POLLUTION, PARTICLE MATTER,CALIBRATION MODEL

Informacje szczegółowe

Kategoria:

Aktywność konferencyjna

Typ:

publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)

Język:

angielski

Rok wydania:

2023

Opis bibliograficzny:

Jørstad P., Wójcikowski M., Cao T., Lepioufle J., Wojtkiewicz K., Ha P. H.: Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors// / : , 2023, s.248-260

DOI: