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Platforma za množično zbiranje podatkov o kakovosti zraka z uporabo nizkocenovnih senzorjev Atmotube
ID Bučar, Gregor (Author), ID Lavbič, Dejan (Mentor) More about this mentor... This link opens in a new window, ID Kocman, David (Comentor)

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Abstract
V diplomski nalogi zastavljam rešitev nezadostne dostopnosti podatkov o kakovosti zraka v realnem času in standardnem formatu. Predlagam platformo za zbiranje, agregiranje in deljenje podatkov iz nizkocenovnih naprav za merjenje kakovosti zraka Atmotube. Platforma izkorišča obstoječi Atmotube Cloud API za pridobivanje surovih meritev iz Atmotube naprav, ki jih shranjuje v PostgreSQL bazi podatkov z razširitvijo PostGIS. Dostop do anonimiziranih in agregiranih podatkov je omogočen preko REST API-ja, ki je implementiran s tehnologijo PostgREST; upravljanje dostopa in avtentikacija pa s Tyk API Gateway. Spletna aplikacija, razvita s SvelteKit, omogoča enostavno dodajanje Atmotube senzorjev, spremljanje števila prispevkov in vizualizacijo agregiranih podatkov na zemljevidu. Ovrednotenje platforme je pokazalo, da imajo izmerjeni podatki ob pravilnem delovanju Atmotube infrastrukture minimalno zakasnitev. Avtomatiziran dostop do meritev več Atmotube naprav za daljše časovno obdobje se z uporabo platforme občutno skrajša, kar so potrdile meritve. Analiza praktične uporabe platforme na Institutu »Jožef Stefan« je pokazala, da je postopek dostopa do podatkov za raziskovalca zdaj dvakrat hitrejši in namesto sedmih vključuje le tri ročne korake, kar bistveno poenostavi in pohitri analizo rezultatov meritev iz Atmotube naprav.

Language:Slovenian
Keywords:kakovost zraka, množično zbiranje podatkov, Atmotube, nizkocenovni senzorji, anonimizacija
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
Year:2025
PID:20.500.12556/RUL-170615 This link opens in a new window
COBISS.SI-ID:243215363 This link opens in a new window
Publication date in RUL:10.07.2025
Views:608
Downloads:175
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Secondary language

Language:English
Title:Platform for crowdsourced collection of air quality data using low-cost atmotube senzors
Abstract:
In this diploma thesis, I propose a solution to the insufficient availability of real-time air quality data in a standard format. I propose a platform for collecting, aggregating, and sharing data from low-cost Atmotube air quality sensors. The platform leverages the existing Atmotube Cloud API to retrieve raw measurements from Atmotube devices, which are stored in a PostgreSQL database with the PostGIS extension. Access to anonymized and aggregated data is provided via a REST API, implemented with PostgREST technology, while access management and authentication are handled by Tyk API Gateway. A web application, developed with SvelteKit, allows for easy addition of Atmotube sensors, monitoring of the number of contributions, and visualization of aggregated data on a map. Platform evaluation showed that the measured data have minimal latency when the Atmotube infrastructure is operating correctly. Automated access to measurements from multiple Atmotube devices over an extended time period is significantly shortened using the platform, as confirmed by measurements. An analysis of the platform's practical use at the »Jožef Stefan« Institute showed that the data access process for a researcher is now twice as fast and involves only three manual steps instead of seven, significantly simplifying and accelerating the analysis of measurement results from Atmotube devices.

Keywords:air quality, crowdsourced data collection, Atmotube, low-cost sensors, anonymization

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