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Using LoRa Modules to Measure Physical Quantities Describing Air Quality and Their Long-distance Transmission

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU145391" target="_blank" >RIV/00216305:26220/22:PU145391 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9793284" target="_blank" >https://ieeexplore.ieee.org/document/9793284</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/PIERS53385.2021.9695062" target="_blank" >10.1109/PIERS53385.2021.9695062</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using LoRa Modules to Measure Physical Quantities Describing Air Quality and Their Long-distance Transmission

  • Original language description

    This paper discusses wireless transfer of physical quantities describing air quality, especially in cities with heavy traffic. Specifically, it acquaints readers with the problematics of carbon dioxide, particulate matter, nitrogen oxides measuring, and data transfer via the Lo-RaWAN network. The main goal is to describe specific components of a LoRa system that provides such transmission. This system consists of sensors attached to LoRa modules, which send data to a LoRa gateway every two minutes. The gateway then resends gathered information to a LoRa server where it is converted into a JSON format and sent to an API client. Based on the data evaluation of air quality and traffic situations the smart traffic lights are coordinated.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20200 - Electrical engineering, Electronic engineering, Information engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2022 Photonics & Electromagnetics Research Symposium (PIERS)

  • ISBN

    978-1-7281-7247-7

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1608-1612

  • Publisher name

    IEEE

  • Place of publication

    neuveden

  • Event location

    Hangzhou, China

  • Event date

    Nov 21, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000795902300266