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Data optimization for communication between wireless IoT devices and Cloud platforms in production process

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63521439" target="_blank" >RIV/70883521:28140/18:63521439 - isvavai.cz</a>

  • Result on the web

    <a href="http://eudl.eu/pdf/10.4108/eai.6-11-2018.2279672" target="_blank" >http://eudl.eu/pdf/10.4108/eai.6-11-2018.2279672</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.4108/eai.6-11-2018.2279672" target="_blank" >10.4108/eai.6-11-2018.2279672</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Data optimization for communication between wireless IoT devices and Cloud platforms in production process

  • Original language description

    The article deals with optimization of input data for wireless IoT devices with database handled by cloud framework. Tested hardware consists of ESP32 board with Wi-Fi technology support (Thinger.IO cloud platform) and Sensor Tag development boards with integrated sensors and Bluetooth connection communicating with IBM Watson IoT framework. The new idea is how to send optimized measured data to IoT platform which is limited to one message per second usually. We propose two separate approaches for input data: accumulation data in IoT device to multi-value packet and noise elimination solved by advanced interpolation (Kalman filter). Both principles can be combined to reduce noise and increase of data frequency stored in cloud platform for next knowledge datamining. Data accumulation can be used for machine or product vibration analyses (acceleration data packed during 1 second) in cloud platform. Interpolated data can remove noise from actual product operational speed (gyroscope/magnetometer corrected value) to reduction false alarm messages in cloud framework.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20203 - Telecommunications

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of 3rd EAI International Conference on Management of Manufacturing Systems

  • ISBN

    978-1-63190-167-6

  • ISSN

    2593-7642

  • e-ISSN

    neuvedeno

  • Number of pages

    8

  • Pages from-to

    "nestrankovano"

  • Publisher name

    EAI – European Alliance for Innovation, n.o.

  • Place of publication

    Bratislava

  • Event location

    Dubrovník

  • Event date

    Nov 6, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article