Defining the Variables of a Remote Operation Monitoring Systems Onboard Unmanned Surface Vessels

Hakan Sel; Metin Celik

doi:10.1109/ICITISEE57756.2022.10057651

Defining the Variables of a Remote Operation Monitoring Systems Onboard Unmanned Surface Vessels

Hakan Sel, Metin Celik

Department of Basic Sciences

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Studies on the development of remote operation and maintenance tracking systems in USVs (Unmanned Surface Vessels) are becoming widespread. In this study, the variables are determined to conduct data acquisition as an initial stage of a statistical analysis to control on pH level of main engine cooling system onboard unmanned surface vessel. It is so critical to manage an advance statistical solution for this operational case. The numbers of 13 variables (i.e. RPM, exhaust temperature, oil pressure, etc.) are identified to construct an operational data framework. As a further research, the study will focus on collecting real-time data onboard UVS.

Original language	English
Title of host publication	Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering
Subtitle of host publication	Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	591-594
Number of pages	4
ISBN (Electronic)	9798350399615
DOIs	https://doi.org/10.1109/ICITISEE57756.2022.10057651
Publication status	Published - 2022
Event	6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022 - Virtual, Online, Indonesia Duration: 13 Dec 2022 → 14 Dec 2022

Publication series

Name	Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022

Conference

Conference	6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022
Country/Territory	Indonesia
City	Virtual, Online
Period	13/12/22 → 14/12/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

real-time data
remote operation
statistical analysis
unmanned surface vessels

Access to Document

10.1109/ICITISEE57756.2022.10057651

Cite this

Sel, H., & Celik, M. (2022). Defining the Variables of a Remote Operation Monitoring Systems Onboard Unmanned Surface Vessels. In Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022 (pp. 591-594). (Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICITISEE57756.2022.10057651

Sel, Hakan ; Celik, Metin. / Defining the Variables of a Remote Operation Monitoring Systems Onboard Unmanned Surface Vessels. Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 591-594 (Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022).

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abstract = "Studies on the development of remote operation and maintenance tracking systems in USVs (Unmanned Surface Vessels) are becoming widespread. In this study, the variables are determined to conduct data acquisition as an initial stage of a statistical analysis to control on pH level of main engine cooling system onboard unmanned surface vessel. It is so critical to manage an advance statistical solution for this operational case. The numbers of 13 variables (i.e. RPM, exhaust temperature, oil pressure, etc.) are identified to construct an operational data framework. As a further research, the study will focus on collecting real-time data onboard UVS.",

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doi = "10.1109/ICITISEE57756.2022.10057651",

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Sel, H & Celik, M 2022, Defining the Variables of a Remote Operation Monitoring Systems Onboard Unmanned Surface Vessels. in Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022. Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 591-594, 6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022, Virtual, Online, Indonesia, 13/12/22. https://doi.org/10.1109/ICITISEE57756.2022.10057651

Defining the Variables of a Remote Operation Monitoring Systems Onboard Unmanned Surface Vessels. / Sel, Hakan; Celik, Metin.
Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 591-594 (Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Studies on the development of remote operation and maintenance tracking systems in USVs (Unmanned Surface Vessels) are becoming widespread. In this study, the variables are determined to conduct data acquisition as an initial stage of a statistical analysis to control on pH level of main engine cooling system onboard unmanned surface vessel. It is so critical to manage an advance statistical solution for this operational case. The numbers of 13 variables (i.e. RPM, exhaust temperature, oil pressure, etc.) are identified to construct an operational data framework. As a further research, the study will focus on collecting real-time data onboard UVS.

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Sel H, Celik M. Defining the Variables of a Remote Operation Monitoring Systems Onboard Unmanned Surface Vessels. In Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 591-594. (Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022). doi: 10.1109/ICITISEE57756.2022.10057651

Defining the Variables of a Remote Operation Monitoring Systems Onboard Unmanned Surface Vessels

Abstract

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Keywords

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