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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10700 - Other natural sciences
Result continuities
Project
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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
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e-ISSN
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Number of pages
6
Pages from-to
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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