Semantically Enhanced System and Automation Design of Complex Marine Vessels

Nikos Kougiatsos; Jesper Zwaginga; Jeroen Pruyn; Vasso Reppa

doi:10.1109/SSCI52147.2023.10372005

Semantically Enhanced System and Automation Design of Complex Marine Vessels

Nikos Kougiatsos, Jesper Zwaginga, Jeroen Pruyn, Vasso Reppa

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

To integrate and assist the system and automation design phases of complex marine vessels, this paper proposes a two-level semantically enhanced scheme. At the design level, the system components are described and automatically connected by a developed graph-making tool using semantic 'knowledge'. Decisions regarding the system selection are made based on certain Quality of Service Criteria (QoS) and enforced in the final semantic database using a dedicated cognitive agent. The automation level leverages the selected systems semantic information with that of the associated automation components and reuses the graph-making tool to update the connection graph. The resulting knowledge-graph is then used to 'reason' for the creation of feasible closed-loop control architectures while a cognitive agent determines which closed-loop architecture to use based on various QoS criteria. The chosen closed-loop architecture can then change in an online manner during the vessel operation in case that system reconfiguration is required either due to malfunctioning components, or aiming to satisfy mission's goals. The applicability and efficiency of the proposed method are shown using a case study for marine propulsion.

Original language	English
Title of host publication	Proceedings of the IEEE Symposium Series on Computational Intelligence, SSCI 2023
Publisher	IEEE
Pages	512-518
Number of pages	7
ISBN (Electronic)	978-1-6654-3065-4
DOIs	https://doi.org/10.1109/SSCI52147.2023.10372005
Publication status	Published - 2023
Event	2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023 - Mexico City, Mexico Duration: 5 Dec 2023 → 8 Dec 2023

Conference

Conference	2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023
Country/Territory	Mexico
City	Mexico City
Period	5/12/23 → 8/12/23

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

cognitive architecture
computer-supported coordination
control systems
marine systems
network modelling
semantic knowledge models

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SSCI52147.2023.10372005

Cite this

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title = "Semantically Enhanced System and Automation Design of Complex Marine Vessels",

abstract = "To integrate and assist the system and automation design phases of complex marine vessels, this paper proposes a two-level semantically enhanced scheme. At the design level, the system components are described and automatically connected by a developed graph-making tool using semantic 'knowledge'. Decisions regarding the system selection are made based on certain Quality of Service Criteria (QoS) and enforced in the final semantic database using a dedicated cognitive agent. The automation level leverages the selected systems semantic information with that of the associated automation components and reuses the graph-making tool to update the connection graph. The resulting knowledge-graph is then used to 'reason' for the creation of feasible closed-loop control architectures while a cognitive agent determines which closed-loop architecture to use based on various QoS criteria. The chosen closed-loop architecture can then change in an online manner during the vessel operation in case that system reconfiguration is required either due to malfunctioning components, or aiming to satisfy mission's goals. The applicability and efficiency of the proposed method are shown using a case study for marine propulsion.",

keywords = "cognitive architecture, computer-supported coordination, control systems, marine systems, network modelling, semantic knowledge models",

author = "Nikos Kougiatsos and Jesper Zwaginga and Jeroen Pruyn and Vasso Reppa",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023 ; Conference date: 05-12-2023 Through 08-12-2023",

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doi = "10.1109/SSCI52147.2023.10372005",

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Kougiatsos, N , Zwaginga, J , Pruyn, J & Reppa, V 2023, Semantically Enhanced System and Automation Design of Complex Marine Vessels. in Proceedings of the IEEE Symposium Series on Computational Intelligence, SSCI 2023. IEEE, pp. 512-518, 2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023, Mexico City, Mexico, 5/12/23. https://doi.org/10.1109/SSCI52147.2023.10372005

Semantically Enhanced System and Automation Design of Complex Marine Vessels. / Kougiatsos, Nikos ; Zwaginga, Jesper ; Pruyn, Jeroen et al.
Proceedings of the IEEE Symposium Series on Computational Intelligence, SSCI 2023. IEEE, 2023. p. 512-518.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2023

Y1 - 2023

N2 - To integrate and assist the system and automation design phases of complex marine vessels, this paper proposes a two-level semantically enhanced scheme. At the design level, the system components are described and automatically connected by a developed graph-making tool using semantic 'knowledge'. Decisions regarding the system selection are made based on certain Quality of Service Criteria (QoS) and enforced in the final semantic database using a dedicated cognitive agent. The automation level leverages the selected systems semantic information with that of the associated automation components and reuses the graph-making tool to update the connection graph. The resulting knowledge-graph is then used to 'reason' for the creation of feasible closed-loop control architectures while a cognitive agent determines which closed-loop architecture to use based on various QoS criteria. The chosen closed-loop architecture can then change in an online manner during the vessel operation in case that system reconfiguration is required either due to malfunctioning components, or aiming to satisfy mission's goals. The applicability and efficiency of the proposed method are shown using a case study for marine propulsion.

AB - To integrate and assist the system and automation design phases of complex marine vessels, this paper proposes a two-level semantically enhanced scheme. At the design level, the system components are described and automatically connected by a developed graph-making tool using semantic 'knowledge'. Decisions regarding the system selection are made based on certain Quality of Service Criteria (QoS) and enforced in the final semantic database using a dedicated cognitive agent. The automation level leverages the selected systems semantic information with that of the associated automation components and reuses the graph-making tool to update the connection graph. The resulting knowledge-graph is then used to 'reason' for the creation of feasible closed-loop control architectures while a cognitive agent determines which closed-loop architecture to use based on various QoS criteria. The chosen closed-loop architecture can then change in an online manner during the vessel operation in case that system reconfiguration is required either due to malfunctioning components, or aiming to satisfy mission's goals. The applicability and efficiency of the proposed method are shown using a case study for marine propulsion.

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BT - Proceedings of the IEEE Symposium Series on Computational Intelligence, SSCI 2023

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Y2 - 5 December 2023 through 8 December 2023

ER -

Semantically Enhanced System and Automation Design of Complex Marine Vessels

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

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