Digital twin concepts for linking live sensor data with real-time models
<p>For taking most advantage of live or real-time sensor measurements, data have to be processed by a single or even by a chain of models on the fly, in contrast to earlier offline simulation solutions. This requirement can be best met by concepts developed under the general term “digital twin...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-04-01
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| Series: | Journal of Sensors and Sensor Systems |
| Online Access: | https://jsss.copernicus.org/articles/12/111/2023/jsss-12-111-2023.pdf |
| _version_ | 1797848914573918208 |
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| author | R. Jedermann K. Singh W. Lang P. Mahajan |
| author_facet | R. Jedermann K. Singh W. Lang P. Mahajan |
| author_sort | R. Jedermann |
| collection | DOAJ |
| description | <p>For taking most advantage of live or real-time sensor measurements, data have to be processed by a single or even by a chain of models on the fly, in contrast to earlier offline simulation solutions. This requirement can be best met by concepts developed under the general term “digital twin” (DT). The step from the Internet of Things (IoT) to a full
exploitation of DT solutions entails new challenges but also provides new
features, which we discuss based on our example DT solution for remote
monitoring of fruit during ocean transportation. A crucial challenge is the
transformation of models into an updateable format, necessary to keep the
physical object and its modelled representation in sync. A basic new feature
of DTs is new software solutions for easy and flexible linking of different
models through a streaming platform by implementing an event-driven
architecture. We demonstrate a solution for controlling model execution
during multiple life cycle phases of the fruit as physical object. An
evaluation of response times showed that server performance is sufficient to
handle more than 100 DT instances per second.</p> |
| first_indexed | 2024-04-09T18:36:26Z |
| format | Article |
| id | doaj.art-80423279c1e14be59fa7d76a56b5bc37 |
| institution | Directory Open Access Journal |
| issn | 2194-8771 2194-878X |
| language | English |
| last_indexed | 2024-04-09T18:36:26Z |
| publishDate | 2023-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Journal of Sensors and Sensor Systems |
| spelling | doaj.art-80423279c1e14be59fa7d76a56b5bc372023-04-11T10:02:12ZengCopernicus PublicationsJournal of Sensors and Sensor Systems2194-87712194-878X2023-04-011211112110.5194/jsss-12-111-2023Digital twin concepts for linking live sensor data with real-time modelsR. Jedermann0K. Singh1W. Lang2P. Mahajan3Institute for Microsensors, -actuators and -systems (IMSAS), University of Bremen, 28359 Bremen, GermanyInstitute for Microsensors, -actuators and -systems (IMSAS), University of Bremen, 28359 Bremen, GermanyInstitute for Microsensors, -actuators and -systems (IMSAS), University of Bremen, 28359 Bremen, GermanyLeibniz Institute for Agricultural Engineering and Bioeconomy (ATB), 14469 Potsdam, Germany<p>For taking most advantage of live or real-time sensor measurements, data have to be processed by a single or even by a chain of models on the fly, in contrast to earlier offline simulation solutions. This requirement can be best met by concepts developed under the general term “digital twin” (DT). The step from the Internet of Things (IoT) to a full exploitation of DT solutions entails new challenges but also provides new features, which we discuss based on our example DT solution for remote monitoring of fruit during ocean transportation. A crucial challenge is the transformation of models into an updateable format, necessary to keep the physical object and its modelled representation in sync. A basic new feature of DTs is new software solutions for easy and flexible linking of different models through a streaming platform by implementing an event-driven architecture. We demonstrate a solution for controlling model execution during multiple life cycle phases of the fruit as physical object. An evaluation of response times showed that server performance is sufficient to handle more than 100 DT instances per second.</p>https://jsss.copernicus.org/articles/12/111/2023/jsss-12-111-2023.pdf |
| spellingShingle | R. Jedermann K. Singh W. Lang P. Mahajan Digital twin concepts for linking live sensor data with real-time models Journal of Sensors and Sensor Systems |
| title | Digital twin concepts for linking live sensor data with real-time models |
| title_full | Digital twin concepts for linking live sensor data with real-time models |
| title_fullStr | Digital twin concepts for linking live sensor data with real-time models |
| title_full_unstemmed | Digital twin concepts for linking live sensor data with real-time models |
| title_short | Digital twin concepts for linking live sensor data with real-time models |
| title_sort | digital twin concepts for linking live sensor data with real time models |
| url | https://jsss.copernicus.org/articles/12/111/2023/jsss-12-111-2023.pdf |
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