INTELLIGENT RAIL SUMMIT
WAYSIDE TRAIN MONITORING SYSTEMS – 22 NOVEMBER 2016
In today’s highly competitive rail market automation and centralisation are drivers for innovation. National borders are no longer rail operation borders. Operators and infrastructure managers are seeking new ways to improve efficiency, operational safety and risk control.
Wayside train monitoring systems can measure the operational performance of rolling stock and infrastructure assets as well as the direct surroundings. In doing so, wayside train monitoring systems provide management information to improve performance and optimise (preventive) maintenance strategy, resulting in an increase in asset availability, cost optimisation and overall improvement of safety.
The first day of the Intelligent Rail Summit 2016 is entirely dedicated to wayside train monitoring. The conference offers a one-day podium in order to discuss the latest developments and their directions, in a both national and international setting.
Wayside train monitoring originates from national rail regulation, but since the opening of the European rail market this has also become a European regulative issue. Particularly in cross-border freight operations, but following further liberalisation soon also in all passenger operations, an international exchange of data from wayside train monitoring systems would be of great advantage to further improvement of operations and maintenance strategies. At this moment, national borders are also thresholds for data exchange between infrastructure managers, partly due to differences in monitoring measures.
INFRASTRUCTURE MEASURING AND MONITORING – 23 NOVEMBER 2016
Why should we execute track measuring? Is there a benefit of condition monitoring? Find out more at Day 2 of the Intelligent Rail Summit 2016 on 23 November in Naples, Italy.
Since decades, track-recording cars measure a variety of signals. Superficially, they are used to guarantee safety, i.e. determine whether a value exceeds an intervention limit. Over the last years infrastructure managers also started to collect and store the data in order to monitor the track’s condition. Consequently, measurement data evolved as a necessary and useful tool in pro-active railway asset management. Analysing the track’s behaviour over time can lead to a prediction of maintenance and track renewal amounts for upcoming years. Thus a proper condition-based budget planning can be established which is valuable for in-house as well as outsourced maintenance execution.
BIG DATA IN RAILWAY OPERATIONS – 24 NOVEMBER 2016
The digitalisation of railways is an opportunity to create Intelligent Rail systems. In recent years the Rail Infrastructure Managers, Train Operating Companies and the rail maintenance companies started to collect and store data in order to monitor different assets and rolling stock.
Today’s challenges are recording, storing, transmitting, analysing, visualisation and distribution of these data. With Big Data, we do not look at single values anymore. Instead, when analysing Big Data, we look at dependencies and relationship of this data. The third day of the Intelligent Rail Summit 2016 is dedicated to big data entirely.