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IoT challenge: older test machines modernization in an automotive plant

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F02819180%3A_____%2F19%3A%230000093" target="_blank" >RIV/02819180:_____/19:#0000093 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-319-76998-1_7" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-76998-1_7</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    IoT challenge: older test machines modernization in an automotive plant

  • Original language description

    In the presented paper we describe engineering design and implementation of an information system based on an Internet of things (IoT) approach for remote collection, storing, and processing of information on the number of carried out mechanical cycles for a group of older existing fatigue test machines in an automotive components production. In the modernization of existing test machines infrastructure, we built the electronic counter modules with developed Ethernet interface. We conducted three ways to verify the accuracy of this manner of counting and collecting of mechanical cycles, and we reached results comparable with the manually collected data. Thanks to automatic detection of ends of fatigue tests, we reached more effective utilization of test machines (more than 25%). © 2019, Springer International Publishing AG, part of Springer Nature.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Smart Technology Trends in Industrial and Business Management

  • ISBN

    9783319769974

  • Number of pages of the result

    16

  • Pages from-to

    85-100

  • Number of pages of the book

    500

  • Publisher name

    Springer Science and Business Media Deutschland GmbH

  • Place of publication

    Cham

  • UT code for WoS chapter