DAVANA® consolidates relevant information obtained from the different train systems to make operation management more efficient, with the consequent improvement in passenger service.

Adapted to each operator, functionalities and operating processes are defined project by project. 

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Use cases

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Digital Train

Version management

This functionality shows in real time in the same table all the software versions of the systems and subsystems available in the communication bus in an automated way.

In case an element of a unit has a discordant version with respect to the rest, an alarm is generated for the maintainer. 

Control the versions of all the systems of all the trains in the fleet, in an efficient and automated way,

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Digital Train

Wheel Status detection

For the early detection of defects in wheels, analysis of the state of the bogies and its impact on the rolling stock or on the tracks, a set of functionalities has been created that together with the use of the WheelTracer produced by smart motors® allow to monitor the status of wheels and bogies.

This set of tools aims to automatically analyze the state of the wheels to detect anomalies early.

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Digital Train

Alarms analysis

The analysis of events allows to remotely visualize all those train messages that arrive at the driver, in real time and from all the units at the same time. Get a real image of the state of the fleet.

Provide centralized knowledge to the maintainer before the trains are in the depots or in workshops to foster a more efficient maintenance.

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Digital Train

Maintenance cycles forecast

For the efficient management of the maintenance and resources at the depots, a set of functionalities has been created that provide the automated scheduling of the preventive maintenance based on the units' mileage.

Reach the highest level of availability with the minimum resources and accomplish your maintenance plans.

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Digital Train

Fleet overview

This functionality allows the maintainer to see in real time the status of the fleet, parameterize its key elements and monitor if the operation of the same is normal. This tool is also useful for the operator to be able to be aware without the need of being previously warned by the driver that the train or any of its systems could have a problem.

This set of functionalities and tools allows the visualization of key elements of the train in real time for the early resolution of errors.

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Digital Train

MTBF Analysis

One of the most demanded applications for maintenance is the analysis of the real MTBF of train systems and sub-systems. Thanks to the platform effect that is created when the computer is loaded on the train, it is possible to count, time and trace any process that happens on the train and quantify its actual use. Based on that actual use, and not train mileage, Digital Train®  applies statistical processes to operating failure rates and plans the necessary preventive activities.

Increase the availability of train subsystems based on the analysis of the average failure time and the real use.

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Digital Train

Work Order Planner

DAVANA automated calendars are designed to use the resources where the impact is highest to achieve preventive, predictive and corrective maintenance. It follows a strategy which includes operational and timing constraints. Prioritization algorithms are set taking into account the condition, failure modes, and Mean Time Between Failure while adding preventive requirements.

Regarding data sources, there is no need to monitor all the assets but having them all on the same platform is mandatory. Thanks to DAVANA crossing data with ERP and other information systems efficient depot management is possible.

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Digital Train

Performance comparison

Often the amount of data and parameters provided by a train make it impossible to analyze them for the detection of anomalies. For this reason, the data comparison tool has been created, in order to select the key variables and make visual and understandable representations of the operation of each train unit.

The objective of this module is the early detection of trains operating outside the usual performance range and focus on them the maintenance

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