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Research and Design of Multi-source Signal Integrated Intelligent Monitoring System for Large Ships

Published: 14 March 2022 Publication History

Abstract

Large ships have many types of equipment and signal sources. The traditional signal monitoring system acquires processes and displays various signal sources respectively. It is inconvenient to centralized monitoring and control, and difficult to upgrade and manage. So it cannot meet the requirements of high-quality sustainable development. Aiming at above problems, a model of multi-source signal integrated intelligent monitoring system is proposed. In order to digitization of multi-source signals, the hardware architecture is optimized which composed of industrial computer and audio and video equipment. The visual user interface development technology gives a way of graphical integration display. The system has been applied, which has effectively improved the efficiency and integration of signal monitoring for large ships.

References

[1]
M. S. Zaghloul: Online Ship Control System using Supervisory Control and Data Acquisition (SCADA). International Journal of Computer Science and Application.3(1),6-10(2014).
[2]
Wu, C.X.: Design of ship navigation abnormal monitoring system based on video communication technology. Ship Science and Technology.42(8A),166-168(2020).
[3]
Wang, D.; Yu, M.; Low, C.B.; Arogeti, S.: Model-Based Health Monitoring of Hybrid Systems. Springer, New York (2013).
[4]
Ge, Z.; Song, Z.H.; Gao, F.: Review of recent research on databased process monitoring. Ind. Eng. Chem. Res. 52(l0), 3543–3562(2013).
[5]
Qin, S.J.: Survey on data-driven industrial process monitoring and diagnosis. Annu. Rev. Control 36(2), 220-234(2012).
[6]
Hou, Y.F.; Shi, W.F.: Design of Fault Diagnosis Device for Shipboard Electrical Power System Based on PLC and IPC. Marine Electric & Electronic Engineering.36(9),49-52(2016).
[7]
Avijit Mallik; Sharif Ahmed; G. M. M. Hossain; M. R. Rahman: IoT Utilized Gas-Leakage Monitoring System with Adaptive Controls Applicable to Dual Fuel Powered Naval Vessels/Ships: Development & Implementation. Cybernetics and Information Technologies.20(1),138-155(2020).
[8]
M. S. Zaghloul: Applying CAD for Multi Sensors in Voyage Data Recorder. International Journal of Computer Science and Application.3(1),11-14(2014).
[9]
Tang, H.; Dou Q.: One Audio and Video Recording and Playback Technology. Industrial Control Computer.32(8),16-18(2019).
[10]
Meng, X.F.; Li, B.; Liu, W.J.: Real-time Monitoring System Based on ARM11 H.264. Research and Exploration in Laboratory.37(12),87-89(2018).
[11]
Lee L.; Stein G.; Romano R.: Monitoring activities from multiple video streams: Establishing a common coordinate frame. IEEE Transactions on Pattern Analysis and Machine Intelligence. 22(8), 758-767(2000).
[12]
Bouamama, B.O.; Samantaray, A.K.; Medjaher, K.; Staroswiecki, M.; Dauphin-Tanguy, G.: Model builder using functional and bond graph tools for FDI design. Control Eng. Pract. 13(7), 875–891(2005).

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AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
October 2021
3136 pages
ISBN:9781450385046
DOI:10.1145/3495018
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 March 2022

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  • Research-article
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  • China University Industry-University-Research Innovation Fund (2020A02029)

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AIAM2021

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Overall Acceptance Rate 100 of 285 submissions, 35%

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