Result

Jan Mikyska technicians have a clear overview available through an online web app which includes live information about the behaviour of a specific machine or system. They can monitor the current state compared to the historical data collected and run basic diagnostics of the potential problems online and without the need to go into the field. The collected data are stored safely and long-term in a database which enables the technicians to go through historical metrics and analyse the changes of the machine behaviour from the long-term perspective.

Cooperation with the company Svendborg Brakes also aided the creation of an algorithm to ensure the automated detection of the most common failures, such as the internal or external oil leak. Historical data will enable the application of machine learning algorithms and anomaly detection which will push the automated diagnostics to another level will enable a better prediction of the issues before a failure occurs.

The whole solution creates an added value to the Severoceske doly, a.s. since it eliminates the failures and outages which saves costs and increases the overall operability and efficiency of the excavator. Jan Mikyska as a company providing maintenance and servicing utilizes DASHPOINT to provide services with even higher quality and has an online insight into the behaviour of the braking and hydraulic systems. Thanks to this, the technicians can solve problems remotely which decreases costs for maintenance. Historical data then enable the team to better understand the machine behaviour in real operations and provide important data for the future increase of service quality.

Universal DASHPOINT platform can be utilized in many industries thanks to its universality.