Open AccessPosted Content
A Gap Analysis of Low-Cost Outdoor Air Quality Sensor In-Field Calibration
Francesco Concas,Julien Mineraud,Eemil Lagerspetz,Samu Varjonen,Kai Puolamäki,Petteri Nurmi,Sasu Tarkoma +6 more
Reads0
Chats0
TLDR
This article presents low-cost sensor technologies, and it survey and assess machine learning-based calibration techniques for their calibration, and presents open questions and directions for future research.Abstract:
In recent years, interest in monitoring air quality has been growing. Traditional environmental monitoring stations are very expensive, both to acquire and to maintain, therefore their deployment is generally very sparse. This is a problem when trying to generate air quality maps with a fine spatial resolution. Given the general interest in air quality monitoring, low-cost air quality sensors have become an active area of research and development. Low-cost air quality sensors can be deployed at a finer level of granularity than traditional monitoring stations. Furthermore, they can be portable and mobile. Low-cost air quality sensors, however, present some challenges: they suffer from crosssensitivities between different ambient pollutants; they can be affected by external factors such as traffic, weather changes, and human behavior; and their accuracy degrades over time. Some promising machine learning approaches can help us obtain highly accurate measurements with low-cost air quality sensors. In this article, we present low-cost sensor technologies, and we survey and assess machine learning-based calibration techniques for their calibration. We conclude by presenting open questions and directions for future research.read more
Citations
More filters
Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone?
Lidia Morawska,Phong K. Thai,Xiaoting Liu,Akwasi Bonsu Asumadu-Sakyi,Godwin A. Ayoko,Alena Bartonova,Andrea Bedini,Fahe Chai,Bryce Christensen,Matthew Dunbabin,Jian Gao,Gayle S.W. Hagler,Rohan Jayaratne,Prashant Kumar,Alexis K.H. Lau,Peter K.K. Louie,Mandana Mazaheri,Zhi Ning,Nunzio Motta,Ben Mullins,Mahmudur Rahman,Zoran Ristovski,Mahnaz Shafiei,Dian Tjondronegoro,Dane Westerdahl,Ronald Williams +25 more
TL;DR: In this article, the authors conducted a comprehensive literature search including both the scientific and grey literature, and concluded that there is no clear answer to the question, due to a lack of: sensor/monitor manufacturers' quantitative specifications of performance, consensus regarding recommended end-use and associated minimal performance targets of these technologies, and the ability of the prospective users to formulate the requirements for their applications, or conditions of the intended use.
Journal ArticleDOI
From air quality sensors to sensor networks: Things we need to learn
Yi Li,Ziyang Yuan,L.-W. Antony Chen,Ajay Pillarisetti,Ajay Pillarisetti,Varun Yadav,Mengxian Wu,Houxin Cui,Chuanfeng Zhao +8 more
TL;DR: In this paper, low-cost air quality sensors (LCAQS) can be deployed in dense monitoring networks to provide timely and comprehensive snapshots of pollutant concentrations and their spatial and temporal variability at various scales with relatively less cost and labor.
References
More filters
Proceedings ArticleDOI
Energy-Efficient Air Pollution Monitoring with Optimum Duty-Cycling on a Sensor Hub
TL;DR: It is demonstrated that temporal correlation of pollutant concentration can be exploited to select optimum sampling period of an energy-intensive sensor to reduce sensing energy consumption without losing much information.
Journal ArticleDOI
MEMS PZT Oscillating Platform for Fine Dust Particle Removal at Resonance
TL;DR: In this article, an oscillating platform that can be driven at a relatively low frequency region (< MHz) was used to remove the accumulated fine particles after detection, rather than measuring the sensing performance.
Proceedings ArticleDOI
Health-optimal routing in urban areas
TL;DR: This paper combines high-resolution pollution maps available for the city of Zurich, Switzerland, with road network data to analyze how much urban dwellers can reduce their exposure to air pollution by not taking the shortest path between origin and destination but a healthier and slightly longer alternative route.