Analysis of Predictive Maintenance for Tunnel Systems

Smart and automated maintenance could make the system its parts more sustainable by extending their lifecycle, failure detection, smart control of equipment, precise detection reaction to unexpected circumstances. This article focuses on analysis data, particularly logs captured in several Czech tunnel systems. The objective is find useful information for predicting upcoming situations, furthermore, check possibilities predictive diagnostics design process maintenance. main goal summarize optimizing that are based data as well expert experience with equipment tunnel. results, findings, conclusions primarily be used tunnels; secondarily, these principles applied telematics lead optimization improvement sustainability.