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Speed-of-sound based sensors for environmental monitoring

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F16%3A00303532" target="_blank" >RIV/68407700:21220/16:00303532 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Speed-of-sound based sensors for environmental monitoring

  • Original language description

    Environmental sensors for gas composition analysis based on sound velocity measurement are simple, inexpensive and robust. Many potential applications have been outlined in literature, ranging from monitoring CO2 content in breathing apparatus, composition monitoring of anesthesia gas mixtures to various leak detectors aimed at improving workplace safety. The sensors can be in form of industrial instruments, small IoT (Internet of Things) sensors or wearable MEMS (Micro-Electro-Mechanical Systems) based devices. Such sensors would be of no use without reliable models and algorithms for sound velocity prediction, which are accurate and easy to implement. This work aims to give an overview of technology available to construct speed-of-sound based sensors for industrial applications such as environmental monitoring, leak detection. We are involved in development and deployment of sensors for various applications at CERN (The European Organization for Nuclear Research, Geneva, Switzerland).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BJ - Thermodynamics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LG15052" target="_blank" >LG15052: Investigation of the Microworld using the CERN Infrastructure</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2016 IEEE SENSORS Proceedings

  • ISBN

    978-1-4799-8287-5

  • ISSN

  • e-ISSN

  • Number of pages

    3

  • Pages from-to

    1400-1402

  • Publisher name

    American Institute of Physics and Magnetic Society of the IEEE

  • Place of publication

    San Francisco

  • Event location

    Orlando

  • Event date

    Oct 30, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article