Abstract
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.
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 language | English |
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Title of host publication | Proceedings of TRA2020, the 8th Transport Research Arena: Rethinking transport – towards clean and inclusive mobility |
Place of Publication | Helsinki |
ISBN (Electronic) | 978-952-311-484-5 |
Publication status | Published - 2020 |
MoE publication type | A4 Article in a conference publication |
Event | Transport Research Arena 2020: Rethinking transport – towards clean and inclusive mobility - Helsinki, Finland Duration: 27 Apr 2020 → 30 Apr 2020 Conference number: 8 https://traconference.eu/about-tra/ |
Publication series
Name | Traficom Research Reports |
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Publisher | Finnish Transport and Communications Agency Traficom |
Number | 7 |
ISSN (Electronic) | 2669-8781 |
Conference
Conference | Transport Research Arena 2020 |
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Abbreviated title | TRA2020 |
Country/Territory | Finland |
City | Helsinki |
Period | 27/04/20 → 30/04/20 |
Internet address |
Keywords
- Digital Twin
- Data Quality
- Energy Systems
- Heat Exchanger