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Predictive diagnostics usage for telematic systems maintenance

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F20%3A00341931" target="_blank" >RIV/68407700:21260/20:00341931 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/SCSP49987.2020.9134051" target="_blank" >https://doi.org/10.1109/SCSP49987.2020.9134051</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SCSP49987.2020.9134051" target="_blank" >10.1109/SCSP49987.2020.9134051</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predictive diagnostics usage for telematic systems maintenance

  • Original language description

    This paper describes predictive diagnostics used in a process of telematic systems maintenance focusing on the checkup and potencials for improvements in road tunnel constructions. For this we have chosen the tunnel constructions as the most suitable ones from the telematic systems as they contain huge amount of technologies, systems and subsystems. Tunnel constructions is from its nature complex system providing large amounts of data and many device status and other reports. Actual tunnel status is fundamentally influenced by the operation, the state of technological equipment and, last but not least, by the activity of the operators responding to emergencies, solving normal operation states and planned or operative maintenance. Each part of the tunnel technological equipment requires for its correct operation specific actions, which are planned as a coherent set of rules and operating regulations based on alarms from the technical equipment, evaluation of traffic data and operators' knowledge. This is also applicable to any telematics system that consists of several subsystems or is a larger system based on a distributed diagnostic system.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10700 - Other natural sciences

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2020 Smart City Symposium Prague

  • ISBN

    978-1-7281-6821-0

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    IEEE Press

  • Place of publication

    New York

  • Event location

    Prague

  • Event date

    Jun 25, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000590471100009