This session brings together two very different approaches to extending the power of GIS for more intelligent workflows. One leverages artificial intelligence and the other indoor GIS.
Detailed Agenda
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Monitoring and Prediction of Transportation Asset Conditions
- Tuesday, Apr 1816:15 - 17:15 CEST(14:15 - 15:15 GMT)
Presentations
- Quantum Artificial Intelligence Empowering Predictive Maintenance Management
It is essential for road and other infrastructure authorities to plan maintenance measures on the basis of the respective pavement and structure condition as well as on their development. On the one hand, accurate forecasting considering permanently updated data can be an aid in the cost-effectiveness of maintenance. On the other hand, the overall development of public infrastructure can be better controlled.
The goal of the presented approaches is to develop solutions that predict the condition of roadways using artificial intelligence based on quantum technology.
, CEO, takatoa
- Deutsche Bahn: Indoor GIS to Streamline Maintenance Work- A Success Story in Work
Maintenance of trains and railways requires the use of heavy equipment and a lot of different parts and tools. To improve punctuality and decrease turnaround times and downtime of assets, managers need a realtime picture of which asset, part or component is where and in which state. We aim at providing this information to the managers using ArcGIS IPS, ArcGIS GeoEvent Servers,and different ArcGIS WebApps. Furthermore, the integration of already existing tracking solutions within Deutsche Bahn fosters valuable synergies to create a Digital Twin.
, Deutsche Bahn / DB Systel GmbH
, DB Systel
Session Type: User Presentations
Session Level: Intermediate
