Using Digital Twin Technology to Ensure Data Quality in Transport Systems

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Autonomous transport systems are dependent on real-time data from their environment. The data is read from a multitude of sensors ranging from sensors measuring temperature, pressure, and flow to advanced sensor systems such as GPS and Lidar systems. When the sensor data is used as input to an automation system, measurement errors and sensor faults may lead to invalid situation awareness or even catastrophic failure.
Digital Twins (DTs) are digital representations of a physical systems, where the physical rules of a system are expressed in a mathematical form. When feeding sensor data to the DT, sensor values can be checked against the rules of the physical system. This enables feasibility checking of sensor values, and together with sensor redundancy, faulty measurements can be corrected.
In this paper, we present the DT for a marine vessel energy subsystem and use the DT for validating and cleansing of representative data for that subsystem.
Original languageEnglish
Title of host publicationProceedings of TRA2020, the 8th Transport Research Arena: Rethinking transport – towards clean and inclusive mobility
Place of PublicationHelsinki
ISBN (Electronic)978-952-311-484-5
Publication statusPublished - 2020
MoE publication typeA4 Article in a conference publication
EventTransport Research Arena 2020: Rethinking transport – towards clean and inclusive mobility - Helsinki, Finland
Duration: 27 Apr 202030 Apr 2020
Conference number: 8

Publication series

NameTraficom Research Reports
PublisherFinnish Transport and Communications Agency Traficom
ISSN (Electronic)2669-8781


ConferenceTransport Research Arena 2020
Abbreviated titleTRA2020
Internet address


  • Digital Twin
  • Data Quality
  • Energy Systems
  • Heat Exchanger


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