Abstract
Smart and automated maintenance could make the system and its parts more sustainable by extending their lifecycle, failure detection, smart control of the equipment, and precise detection and reaction to unexpected circumstances. This article focuses on the analysis of data, particularly on logs captured in several Czech tunnel systems. The objective of the analysis is to find useful information in the logs for predicting upcoming situations, and furthermore, to check the possibilities of predictive diagnostics and to design the process of predictive maintenance. The main goal of the article is to summarize the possibilities of optimizing system maintenance that are based on data analysis as well as expert analysis based on the experience with the equipment in the tunnel. The results, findings, and conclusions could primarily be used in the tunnels; secondarily, these principles could be applied in telematics and lead to the optimization and improvement of system sustainability.
Highlights
Operation and maintenance are essential to ensure the proper function of technological and technical systems, telematics, and tunnel systems as well
The main goal of this article is to assess the approaches and possibilities that could be applied for tunnel systems in the future, in particular on the basis of data captured in tunnels
This article presents the results of the research on predictive maintenance of technological devices in tunnel systems
Summary
Operation and maintenance are essential to ensure the proper function of technological and technical systems, telematics, and tunnel systems as well. It is necessary to monitor, track, and take control over the whole system, its partial components and to check if the system is operable or not. The assessment of proper functioning of the system can be determined by error detection together with checking that all components of the system are working as expected. The process that involves a set of these detection methods is known as diagnostics. Two main approaches can be applied in diagnostics. The first approach is a direct method, which consists of measuring the technical parameters of the components and its comparison with the expected values. The changes of processes and parameters are important during their measurement. There is a direct proportion between these parameters and conditions
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