A framework for assessing the capability of maritime search and rescue in the south China sea

Zhou, Xiao; Cheng, Liang; Min, Kaifu; Zuo, Xin; Zhuang, Y; Ruan, Xiaojun; Chu, Sensen; Li, Manchun

doi:10.1016/j.ijdrr.2020.101568

Cited by 24 publications

(13 citation statements)

References 42 publications

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“…Zhou Y focused on S-102 data organization and spatial schemes, and realized the reading and display of S-102 Bathymetric Attributes Grid (BAG) data based on code programming [29]. Zhou X et al proposed a comprehensive framework to assess the capability of maritime Synthetic Aperture Radar (SAR) in the South China Sea [30].…”

Section: Maritime Service Portfoliomentioning

confidence: 99%

Design and Development of Maritime Data Security Management Platform

Zhang

et al. 2022

Applied Sciences

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Since the e-Navigation strategy was put forward, various countries and regions in the world have researched e-Navigation test platforms. However, the sources of navigation data are multi-source, and there are still difficulties in the unified acquisition, processing, analysis and application of multi-source data. Users often find it difficult to obtain the required comprehensive navigation information. The purpose of this paper is to use e-Navigation architecture to design and develop maritime data security management platform, strengthen navigation safety guarantee, strengthen Marine environment monitoring, share navigation and safety information, improve the ability of shipping transportation organizations in ports, and protect the marine environment. Therefore, this paper proposes a four-layer system architecture based on Java 2 Platform Enterprise Edition (J2EE) technology, and designs a unified maritime data storage, analysis and management platform, which realizes the intelligent, visualized and modular management of maritime data at shipside and the shore. This platform can provide comprehensive data resource services for ship navigation and support the analysis and mining of maritime big data. This paper expounds on the design, development scheme and demonstration operation scheme of the maritime data security management platform from the system structure and data exchange mode.

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Section: Maritime Service Portfoliomentioning

confidence: 99%

Design and Development of Maritime Data Security Management Platform

Zhang

et al. 2022

Applied Sciences

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“…Secondly, the search platform takes the first optional path point as the starting point for the second step of the search path planning. At this time, the optional path point set Z P 2 is g (2,4) , g (2,2) , g (1,3) , g (3,3) , g (1,1) , g (3,1) , g (4,2) } and all the optional search path sets Z R 2 are g (2,2) , g (2,3) (3,2) , g (4,2) }}. Among all the optional search path sets Z R 2 , some search paths contain duplicate path points whose weights can only be calculated once.…”

Section: Searchmentioning

confidence: 99%

“…2) , g (3,2) , g (3,1) , respectively, we need to delete the optional path according to the sum of the path weights, and only the search path with the maximum sum of the weights is retained, which are 6 Mathematical Problems in Engineering…”

Section: Searchmentioning

confidence: 99%

“…2) , g (3,2) , g (3,1) . At this point, the sets of all the alternative paths Z R 2 are g (2,2) , g (2,3) ,…”

Section: Searchmentioning

confidence: 99%

“…Search and rescue of maritime distress target is a high-risk, difficult, time-sensitive, and professional task, and it is also the only way to search and rescue survivors [1]. Its essence is to predict the drift trajectory of the distress target, estimate the search area accurately, plan the search path reasonably, and deploy the search platform for rapid search and rescue based on the characteristic information of the sea condition, the distress target, and the last known location information in the incident area [2,3].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Search Path Planning Algorithm Based on the Probability of Containment Model

Ren

Liu

Cui

et al. 2021

Mathematical Problems in Engineering

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The location of distress object in the maritime search area is difficult to determine, which has brought great difficulties to the search path planning. Aiming at this problem, a search path planning algorithm based on the probability of containment (POC) model for a distress object is proposed. This algorithm divides the area to be searched into several subareas by grid method and dynamically evaluates the POC of the distress object in each subarea using the Monte Carlo random particle method to build the POC model. On this basis, the POC is dynamically updated by employing the Bayes criterion within the constraint of the time window. Then, the sum of the POC of the object in the subareas is regarded as the weight of the search path. And the proposed algorithm dynamically executes the search path planning according to the maximum path weight. In comparison with the parallel line search path planning algorithm given in the “International Aeronautical and Maritime Search and Rescue Manual,” the simulation results show that the search path planning algorithm based on the POC model of the distress object can effectively improve the search efficiency and the probability of search success of the distress object.

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