[3] [3] CHANG S, WANG Z B, WANG Y, et al. Enabling technologies platfms to aid digitalization of commercial aviation suppt, maintenance health management[C]Proceedings of 2019 International Conference on Quality, Reliability, Risk, Maintenance, Safety Engineering (QR2MSE). Zhangjiajie: IEEE, 2019: 926–932.

[4] ZUTSHI A, GRILO A. The emergence of digital platforms: a conceptual platform architecture and impact on industrial engineering[J]. Computers & Industrial Engineering, 136, 546-555(2019).

[6] SMILEY K, MAHATE S, WOOD P et al. Picture of health–an integrated approach to asset health management[J]. Asset Management & Maintenance Journal, 27, 31-34(2014).

[7] MUNIM Z H. Autonomous ships: a review, innovative applications and future maritime business models[J]. Supply Chain Forum: An International Journal, 20, 266-279(2019).

[8] DIULIO M, HALPIN R, MONACO M et al. Advancements in equipment remote monitoring programs–providing optimal fleet support in a cyber-safe environment[J]. Naval Engineers Journal, 127, 109-118(2015).

[10] [10] JOHNSON S B, GMLEY T J, KESSLER S S, et al. System health management: with aerospace applications[M]. Hoboken: Wiley, 2011.

[11] [11] XU X W, FAN S D, HUANG H F, et al. Research on PHM technology application of ship maintenance program optimization[C]Proceedings of 2013 IEEE Conference on Prognostics Health Management (PHM). Gaithersburg: IEEE, 2013: 1–6.

[12] ZHUO J, WU M P, SUN Q X. Research on health management technology of ship cabin equipment[J]. Journal of Physics: Conference Series, 1976, 012057(2021).

[13] WU W H, CHEN G B, YANG Z C. The application and challenge of digital twin technology in ship equipment[J]. Journal of Physics: Conference Series, 1939, 012068(2021).

[14] [14] NEJAD A R, PURCELL E, VALAVI M, et al. Condition moniting of ship propulsion systems: stateoftheart, development trend role of digital Twin[C]ASME 2021 40th International Conference on Ocean, Offshe Arctic Engineering. [S. 1. ]: ASME, 2021.

[15] [15] LI G, LAN J, LI Q. Online moniting of selfelevating leveling ship based on edge computing[C]Proceedings of the IEEE 3rd International Conference on Electronics Technology (ICET). Chengdu: IEEE, 2020: 546–551.

[16] KIM S H, ROH M I, KIM K S. A study on big data platform based on Hadoop for the applications in ship and offshore industry[J]. Korean Journal of Computational Design and Engineering, 21, 334-340(2016).