Technological toolkits for tunnel operators and maintenance optimization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F25%3A00388710" target="_blank" >RIV/68407700:21260/25:00388710 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.trpro.2025.12.077" target="_blank" >https://doi.org/10.1016/j.trpro.2025.12.077</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.trpro.2025.12.077" target="_blank" >10.1016/j.trpro.2025.12.077</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Technological toolkits for tunnel operators and maintenance optimization

Popis výsledku v původním jazyce

Tunnel systems and implemented technological infrastructure have high requirements for their operation and maintenance. In the current stage, the digitalization and advanced diagnostical methods are widely applied. Data on operational characteristics are stored and prepared for further analysis. From the perspective of tunnel operation, some of detected events and alarms have a higher value, and therefore the intervention from the tunnel operator is required (e.g., in the case of the fault of an important device). However, the analysis performed shows that the number of monitored and detected events could overwhelm the tunnel operator. This study is focused on how to enhance technological toolkit with advanced algorithm on how to aggregate data to explicitly present a clear information to the operator. This will eliminate the overload of the operators, but even more it could help to plan and predict required maintenance with data-based knowledge and experienced

Název v anglickém jazyce

Technological toolkits for tunnel operators and maintenance optimization

Popis výsledku anglicky

Tunnel systems and implemented technological infrastructure have high requirements for their operation and maintenance. In the current stage, the digitalization and advanced diagnostical methods are widely applied. Data on operational characteristics are stored and prepared for further analysis. From the perspective of tunnel operation, some of detected events and alarms have a higher value, and therefore the intervention from the tunnel operator is required (e.g., in the case of the fault of an important device). However, the analysis performed shows that the number of monitored and detected events could overwhelm the tunnel operator. This study is focused on how to enhance technological toolkit with advanced algorithm on how to aggregate data to explicitly present a clear information to the operator. This will eliminate the overload of the operators, but even more it could help to plan and predict required maintenance with data-based knowledge and experienced

Druh

O - Ostatní výsledky

CEP obor

—

OECD FORD obor

21100 - Other engineering and technologies

Projekt

<a href="/cs/project/CK04000109" target="_blank" >CK04000109: Prediktivní diagnostika technologických zařízení ITS s využitím přístupů AI</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

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