Die im Konferenzprogramm der TDWI München 2024 angegebenen Uhrzeiten entsprechen der Central European Time (CET).
On Track to Tomorrow: Harnessing Telematic Data
In this presentation, we delve into the strategic adoption of our Digital Twin in the rail industry, exploring the motivations behind its implementation. We examine the diverse data streams generated by rail assets and share insights into overcoming challenges posed by external providers.
We will outline the meticulous process of implementing our Digital Twin, emphasizing the technical challenges encountered and conquered in this journey.
Target Audience: Data Engineers, Predictive Maintenance, Data Quality
Prerequisites: Basic understanding of data structures, knowledge of basic cloud services
Level: Advanced
Extended Abstract:
In this insightful presentation, we delve into the profound shift in rail operations ushered in by the implementation of our digital twin. We begin by addressing the fundamental question: Why should we embrace digital twins in the rail industry? Unpacking the strategic advantages and transformative potential, we elucidate the compelling reasons for integrating digital twins into rail asset management.
Next, we scrutinize the wealth of data generated by our rail assets, unveiling the multifaceted nature of telematic insights. By understanding the intricate web of information produced, we lay the groundwork for harnessing these data streams to optimize rail operations and enhance decision-making.
We will explore the intricacies of implementation. We take a closer look at the methodology employed in introducing digital twins to our rail infrastructure, offering insights into the practical aspects and considerations that shaped our approach.
Lastly, we tackle the technical challenges head-on, shedding light on the hurdles encountered during the implementation journey. By elucidating these obstacles, we not only provide a realistic view of the digital twin landscape but also offer valuable insights for industry peers navigating similar paths.
Join us in this engaging session as we navigate the complex terrain of digital twins and telematic data, uncovering the transformative power that awaits the rail industry on its journey to a smarter and more efficient future.
Patrik Lengacher joined SBB Cargo in the Analytics and Operations Research team. From the beginning he was keen to leverage the existing data and to mature the data driven approach within SBB Cargo. Patrik developed prototypes for major projects such as a data centred approach to demand management. Currently Patrik is responsible for the data ingestion, warehousing and operation streams. His goal is to create a unified data landscape with an easy access to data and reports for all employees. As part of this development Patrik is leading the IoT and Digital Twin stream. Patrik graduated from ETH Zürich with a master's degree in mathematics and is a lecturer for Data Engineering at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW).
