IoT Train: new maintenance service models and IoT monitoring platforms for predictive rail maintenance

 

IKUSI, LKS NEXT AND SQS ARE GOING TO WORK ON THE IOT TRAIN PROJECT WITHIN THE FRAMEWORK OF THE HAZITEK2021 R&D AID PROGRAMME PROMOTED BY SPRI.

This Ikusi-led project aims to maximise train operating times and availability by reducing the number and duration of unplanned stops. To do so, it will leverage on new technology tools that will provide real-time performance information about all the systems installed on the trains of the whole operational fleet, even in the case of trains that run at speeds of hundreds of kilometres per hour.

These technologies will capture tens of thousands of data items in real time to check how the train systems’ are performing, then conduct a descriptive analysis of the data, generate alarms for immediate action and, at a later stage, create models to facilitate predictive train maintenance tasks.

This will allow train manufacturers or railway operators to ascertain the operational status of their trains and anticipate possible failures, thereby boosting the availability of their units while minimising their maintenance costs.

This process involves having a control centre that is permanently connected to the train fleet in order to receive all the operational information. A centre capable of applying IoT platform-based data analytics to obtain valuable information on the performance of each of the units and the fleet as a whole.

Each of the IoT project companies will be work in tandem with a research establishment:  Tekniker in the case of Ikusi, Ikerlan in the case of LKS Next and the Innovalia Association in the case of SQS.