Planning of maintenance of railway
AssigneeKonux GmbH
InventorsVlad Lata, Chrisopther Boucher, Thomas Böhm
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Abstract
The present invention relates to a method for automatically planning maintenance in railway, the method comprising the steps of determining maintenance for different assets at different locations comprising determining at least one of a predicted technical condition of an asset and automatically optimizing the planning accordingly. Further, a railway planning system for automatically planning maintenance comprising a determining component for determining maintenance for different assets at different locations comprising a determining component for determining at least one of a predicted technical condition of an asset and an optimization component for automatically optimizing the planning accordingly.
Claims17
A method for automatically planning maintenance in railway infrastructure, the method comprising the steps of:
- (a) determining maintenance for different assets at different locations comprising determining a predicted technical condition of an asset and
- (b) automatically optimizing the planning accordingly,
- wherein the optimizing of the planning is based on a degrading effect of a train, maintenance effectiveness metrics and current or predicted traffic information of trains;
- wherein the optimizing of the planning is based on at least one analytical approach;
- wherein each analytical approach comprises at least one of signal filter processing pattern recognition, probabilistic modelling, Bayesian schemes, machine learning, supervised learning, unsupervised learning and reinforcement learning, and
- wherein the asset whose technical condition is predicted comprises one or more switches.
A railway planning system for automatically planning maintenance comprising
- (a) a determining component for determining maintenance for different assets at different locations comprising a determining component for determining a predicted technical condition of an asset and
- (b) an optimization component for automatically optimizing the planning accordingly,
- wherein the optimization component performs the optimizing of the planning based on a degrading effect of a train, maintenance effectiveness metrics and current or predicted traffic information of trains;
- wherein the optimizing of the planning is based on at least one analytical approach;
- wherein the information gathered at least from one sensor is processed by an analyzing component comprising at least one analytical approach;
- wherein each analytical approach comprises at least one of the signal filter processing pattern recognition, probabilistic modelling, Bayesian schemes, machine learning, supervised learning, unsupervised learning and reinforcement learning;
- and
- wherein the asset whose technical condition is predicted comprises one or more switches.
Dependencies are inferred from the claim text.