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Design of Electrical Equipment Integration System for LNG Single-Fuel Bulk Carrier

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Human Centered Computing (HCC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11956))

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Abstract

This paper mainly designed the electrical equipment integrated system for LNG (Liquefied Natural Gas) single fuel bulk carrier, aiming at providing a solution scheme for realizing real-time, reliable and expandable communication between the ship and the shore. The core communication layer of the system adopts star-structure to communicate with the monitored equipment. According to the actual communication ability of electrical equipment, different communication configurations are made. Data access is accomplished by centralized communication protocol conversion through NX control components, which can solve the problem of communication matching under different communication protocols and transmission rates. In addition, for ship-shore communication, the 4G mobile communication links is configured. Under the special sections without mobile signal coverage, the network communication monitoring and data replenishment functions are designed to ensure the integrity and reliability of data remote transmission.

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Acknowledgement

This work is supported by the National Natural Science Foundation of China (Grant No.51165035). Science and Technology Fund of Jiangxi Province of Higher Education (KJLD14094), Youth Science Fund of Jiangxi Province (20133BAB21004), and the Young scientist cultivation plan of Jiangxi Province (20112BCB23025).

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Correspondence to Qin Nie or Quanguo Lu .

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Nie, Q., Lu, J., Lu, Q., Zhu, Z. (2019). Design of Electrical Equipment Integration System for LNG Single-Fuel Bulk Carrier. In: Milošević, D., Tang, Y., Zu, Q. (eds) Human Centered Computing. HCC 2019. Lecture Notes in Computer Science(), vol 11956. Springer, Cham. https://doi.org/10.1007/978-3-030-37429-7_29

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  • DOI: https://doi.org/10.1007/978-3-030-37429-7_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37428-0

  • Online ISBN: 978-3-030-37429-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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