APPLICATION OF PREDICTIVE MAINTENANCE IN TECHNOLOGICAL TUNNEL SYSTEMS
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F23%3A00371483" target="_blank" >RIV/68407700:21260/23:00371483 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
APPLICATION OF PREDICTIVE MAINTENANCE IN TECHNOLOGICAL TUNNEL SYSTEMS
Popis výsledku v původním jazyce
This article focuses on the use of predictive diagnostics and maintenance of technological equipment and systems in tunnels. Based on data analysis and new conditions for equipping urban and highway tunnels with new ITS technology such as C-ITS, there are new methods of vehicle detection and deployment, and operation of already existing systems (ventilation, fire alarms, traffic signs, control systems), a range of requirements increase together with specifications for maintenance and tunnel inspections. Predictive diagnostics is required to ensure the reliability of data and information of the equipment and particularly systems implemented in the tunnels. The goal is to operate an effective and reliable maintenance with targeted service interventions. The maintenance requires a well-defined documentation which is being prepared and applied in a BIM approach and overall digitization that significantly helps with orientation in the tunnel and its technological systems. There are descriptive technical documents that pointedly specify proper equipment functions as well as detection of reliability and life cycle prediction based on the actual states of equipment. Using SCADA in the tunnel control system allows simulations of system behavior, including fault detection and alarms. The article analysis various inputs, data acquisition, combination of parameters, and information, furthermore a methodical approach for supplementary predictive maintenance of road tunnel technologies on highways or cities roads. The analysis of an essential contribution to the maintenance and refinement of the equipment life cycle will be presented on an example, including the prediction of future states. The article includes examples of potential failures that are being solved during the operation with an impact on the entire predictive maintenance system. For data transfer, its redistribution, including information from systems, the provision of information about the state of the device, and the calculation of the subsequent life cycle, it will represent the basis for new approaches ensuring secured data transfer, i.e., the application of cyber security and other new approaches, where the continuity and application of new trends will be indicated. The article was written with the support of TA CZ under number CK01000163, FW03010458, TH04010481, CK04000109
Název v anglickém jazyce
APPLICATION OF PREDICTIVE MAINTENANCE IN TECHNOLOGICAL TUNNEL SYSTEMS
Popis výsledku anglicky
This article focuses on the use of predictive diagnostics and maintenance of technological equipment and systems in tunnels. Based on data analysis and new conditions for equipping urban and highway tunnels with new ITS technology such as C-ITS, there are new methods of vehicle detection and deployment, and operation of already existing systems (ventilation, fire alarms, traffic signs, control systems), a range of requirements increase together with specifications for maintenance and tunnel inspections. Predictive diagnostics is required to ensure the reliability of data and information of the equipment and particularly systems implemented in the tunnels. The goal is to operate an effective and reliable maintenance with targeted service interventions. The maintenance requires a well-defined documentation which is being prepared and applied in a BIM approach and overall digitization that significantly helps with orientation in the tunnel and its technological systems. There are descriptive technical documents that pointedly specify proper equipment functions as well as detection of reliability and life cycle prediction based on the actual states of equipment. Using SCADA in the tunnel control system allows simulations of system behavior, including fault detection and alarms. The article analysis various inputs, data acquisition, combination of parameters, and information, furthermore a methodical approach for supplementary predictive maintenance of road tunnel technologies on highways or cities roads. The analysis of an essential contribution to the maintenance and refinement of the equipment life cycle will be presented on an example, including the prediction of future states. The article includes examples of potential failures that are being solved during the operation with an impact on the entire predictive maintenance system. For data transfer, its redistribution, including information from systems, the provision of information about the state of the device, and the calculation of the subsequent life cycle, it will represent the basis for new approaches ensuring secured data transfer, i.e., the application of cyber security and other new approaches, where the continuity and application of new trends will be indicated. The article was written with the support of TA CZ under number CK01000163, FW03010458, TH04010481, CK04000109
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
10700 - Other natural sciences
Návaznosti výsledku
Projekt
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Návaznosti
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
PIARC XXVIIth World Road Congress Proceedings of the Congress
ISBN
978-2-84060-837-0
ISSN
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e-ISSN
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Počet stran výsledku
13
Strana od-do
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Název nakladatele
World Road Association (PIARC) Technical Committee C.3.3
Místo vydání
Paris La Défense cedex
Místo konání akce
Praha, kongresové centrum Vyšehrad
Datum konání akce
25. 9. 2023
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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