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Advances in the Safety and Security of Intelligent Ships and...
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Advances in the Safety and Security of Intelligent Ships and Offshore Structures

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: closed (5 November 2024) | Viewed by 4582

Special Issue Editors

Prof. Dr. Wei He

E-Mail Website
Guest Editor
Fujian Engineering Research Center of Safety Control for Ship Intelligent Navigation, Minjiang University
Interests: intelligence of marine aquaculture platforms; collision avoidance during ship navigation; perception of ship navigation situations
Prof. Dr. Xiumin Chu

E-Mail Website
Guest Editor
State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, Wuhan, China
Interests: intelligent ship; navigation control; environment prediction
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid advancement of technology, particularly breakthroughs in the fields of artificial intelligence and automation, the safety and security of ships and offshore structures are undergoing a revolution. The application of these technologies has not only enhanced the safety and efficiency of operations but has also driven the entire industry towards a transformation that is smarter and greener, including intelligent shipping systems, smart fishery monitoring, intelligent green ships, automated offshore operations, augmented reality, and smart port operations. These developments showcase the future direction of safety and security for ships and offshore structures, achieving safer, more efficient, and more environmentally friendly maritime operations through intelligent, automated, and green technologies.

In this Special Issue, we welcome contributions from a broad range of theoretical, modeling, field and laboratory research areas that explore the processes that affect the safety and security of intelligent ships and offshore structures, including, but not limited to, the following topics:

  • Ship multi-objective design;
  • Route planning;
  • Testing of intelligent ships;
  • Fusion perception;
  • Navigation decision making;
  • Motion control;
  • Green ships;
  • Platform monitoring;
  • Environmental perception;
  • Platform structure simulation;
  • Platform energy management;
  • Security measures;
  • Collision avoidance;
  • Crew safety assurance;
  • Digital twins.

Prof. Dr. Wei He
Prof. Dr. Xiumin Chu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • intelligent shipping
  • intelligent fishery monitoring
  • intelligent green ships

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

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Research

28 pages, 9484 KiB  
Article
Virtual Reality Fusion Testing-Based Autonomous Collision Avoidance of Ships in Open Water: Methods and Practices
by Haiming Zhou, Mao Zheng, Xiumin Chu, Chengqiang Yu, Jinyu Lei, Bowen Lin, Kehao Zhang and Wubin Hua
J. Mar. Sci. Eng. 2024, 12(12), 2181; https://doi.org/10.3390/jmse12122181 - 28 Nov 2024
Viewed by 765
Abstract
With the rapid development of autonomous collision avoidance algorithms on ships, the technical demand for the testing and verification of autonomous collision avoidance algorithms is increasing; however, the current testing of autonomous collision avoidance algorithms is mainly based on the virtual simulation of [...] Read more.
With the rapid development of autonomous collision avoidance algorithms on ships, the technical demand for the testing and verification of autonomous collision avoidance algorithms is increasing; however, the current testing of autonomous collision avoidance algorithms is mainly based on the virtual simulation of the computer. To realize the testing and verification of the autonomous collision avoidance algorithm in the real ship scene, a method of virtual reality fusion testing in open water is proposed and real ship testing is carried out. Firstly, an autonomous ship collision avoidance test and evaluation system is established to research the test method of ship encounters in open water. Starting from the convention on the international regulations for preventing collisions at sea (COLREG), the main scenario elements of ship collision avoidance are analyzed. Based on the parametric modeling method of ship collision avoidance scenarios, a standard test scenario library for ship collision avoidance in open waters is established. Then, based on the demand for a ship collision avoidance function test, the evaluation index system of ship collision avoidance is constructed. Subsequently, for the uncertainty of the initial state of the real ship test at sea, the virtual–real space mapping method to realize the correspondence of the standard scenario in the real world is proposed. A standardized testing process to improve testing efficiency is established. Finally, the method of conducting virtual simulation and virtual reality fusion tests for various scenarios are verified, respectively. The test results show that the test method can effectively support the testing of autonomous collision avoidance algorithms for ships in open waters and provide a practical basis for improving the pertinence and practicability of ship collision avoidance testing. Full article
(This article belongs to the Special Issue Advances in the Safety and Security of Intelligent Ships and Offshore Structures)
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19 pages, 5629 KiB  
Article
A Model-Free Adaptive Positioning Control Method for Underactuated Unmanned Surface Vessels in Unknown Ocean Currents
by Zihe Qin, Feng Zhang, Wenlin Xu, Yu Chen and Jinyu Lei
J. Mar. Sci. Eng. 2024, 12(10), 1801; https://doi.org/10.3390/jmse12101801 - 9 Oct 2024
Viewed by 933
Abstract
Aiming to address the problem of underactuated unmanned surface vehicles (USVs) performing fixed-point operations at sea without dynamic positioning control systems, this paper introduces an original approach to positioning control: the virtual anchor control method. This method is applicable in environments with currents [...] Read more.
Aiming to address the problem of underactuated unmanned surface vehicles (USVs) performing fixed-point operations at sea without dynamic positioning control systems, this paper introduces an original approach to positioning control: the virtual anchor control method. This method is applicable in environments with currents that change slowly and does not require prior knowledge of current information or vessel motion model parameters, thus offering convenient usability. This method comprises four steps. First, a concise linear motion model with unknown disturbances is proposed. Then, a motion planning law is designed by imitating underlying principles of ship anchoring. Next, an adaptive disturbance observer is proposed to estimate uncertainties in the motion model. In the last step, based on the observer, a sliding-mode method is used to design a heading control law, and a thrust control law is also designed by applying the Lyapunov method. Numerical simulation experiments with significant disturbances and tidal current variations are conducted, which demonstrate that the proposed method has a good control effect and is robust. Full article
(This article belongs to the Special Issue Advances in the Safety and Security of Intelligent Ships and Offshore Structures)
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15 pages, 5496 KiB  
Article
A Study on the Impact of Vertical Grid Parameter Perturbations in the Regional Ocean Modeling System
by Lei Wang, Feng Zhang, Chongwei Zheng, Yaozhao Zhong, Tianxiu Lu, Shaoping Shang, Siyu Pu, Guodong Xia, Huafei Chen and Wei Leng
J. Mar. Sci. Eng. 2024, 12(9), 1675; https://doi.org/10.3390/jmse12091675 - 19 Sep 2024
Viewed by 822
Abstract
In this study, the Regional Ocean Modeling System (ROMS) is employed to construct a three-dimensional barotropic ocean model with a monodirectional upper boundary and homogeneous and steady wind covering the entire computation area. Eight perturbation experiments are designed to determine the vertical grid [...] Read more.
In this study, the Regional Ocean Modeling System (ROMS) is employed to construct a three-dimensional barotropic ocean model with a monodirectional upper boundary and homogeneous and steady wind covering the entire computation area. Eight perturbation experiments are designed to determine the vertical grid distribution difference with high resolution at the surface and bottom. Two types are considered in the model, including removing the Coriolis force (type 1) and employing a different Coriolis force (type 2). According to the experiments, the velocity of the current in type 1 yields uncertainty, and wind energy could penetrate the upper ocean and reach the abyss. The surface velocity in type 2 is fundamentally compatible with the empirical relationship constructed by Ekman, and the curved lines of the vertical distribution of horizontal currents nearly match. For type 1, the velocity is very strong from the sea surface to the bottom. When comparing type 1 and type 2 cases, the Coriolis force obstructs the wind energy transfer into the deep ocean. In addition, the European Centre for Medium-Range Weather Forecasts (ECMWF)’s global surface wind distribution indicates that the realistic ocean upper wind boundary is similar to the numerical experiment in the Pacific and Atlantic oceans, where the wind direction is along the latitude line at the equator. In order to make the experimental situation as close as possible to the real ocean, validation experiments are conducted in this study to consider the uncertainty in the current profile at the equator. The simulation results of type 1 differ significantly from the data obtained from the real ocean. This uncertainty may transfer the signal to higher latitudes, causing incorrect simulation results, especially in the critical region. Overall, this research not only makes discoveries in physical ocean theory but also guides predictive and forecasting techniques for ocean modeling. Full article
(This article belongs to the Special Issue Advances in the Safety and Security of Intelligent Ships and Offshore Structures)
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23 pages, 3030 KiB  
Article
Research on Precise Feeding Strategies for Large-Scale Marine Aquafarms
by Yizhi Wang, Yusen Zhang, Fengyuan Ma, Xiaomin Tian, Shanshan Ge, Chaoyuan Man and Maohua Xiao
J. Mar. Sci. Eng. 2024, 12(9), 1671; https://doi.org/10.3390/jmse12091671 - 18 Sep 2024
Cited by 1 | Viewed by 891
Abstract
Breeding in large-scale marine aquafarms faces many challenges in terms of precise feeding, including real-time decisions as to the precise feeding amount, along with disturbances caused by the feeding speed and the moving speed of feeding equipment. Involving many spatiotemporal distributed parameters and [...] Read more.
Breeding in large-scale marine aquafarms faces many challenges in terms of precise feeding, including real-time decisions as to the precise feeding amount, along with disturbances caused by the feeding speed and the moving speed of feeding equipment. Involving many spatiotemporal distributed parameters and variables, an effective predictive model for environment and growth stage perception is yet to obtained, further preventing the development of precise feeding strategies and feeding equipment. Therefore, in this paper, a hierarchical type-2 fuzzy system based on a quasi-Gaussian membership function for fast, precise, on-site feeding decisions is proposed and validated. The designed system consists of two layers of decision subsystems, taking in different sources of data and expert experience in feeding but avoiding the rule explosion issue. Meanwhile, the water quality evaluation is considered as the secondary membership function for type-2 fuzzy sets and used to adjust the parameters of the quasi-Gaussian membership function, decreasing the calculation load in type reduction. The proposed system is validated, and the results indicate that the shape of the primary fuzzy sets is altered with the secondary membership, which influences the defuzzification results accordingly. Meanwhile, the hardware of feeding bins for UAVs with variable-speed coupling control systems with disturbance compensation is improved and validated. The results indicate that the feeding speed can follow the disturbance in the level flying speed. Full article
(This article belongs to the Special Issue Advances in the Safety and Security of Intelligent Ships and Offshore Structures)
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