Research on a novel maritime emergency search system

Author:

Chen Mingzhang1ORCID,Zhangchen Xinfei2,Xiong Xiaoshuang3ORCID,Liu Xunchen2,Zhang Xuancheng1,Wang Zeming2,Han Gailin2

Affiliation:

1. Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, China

2. Wuhan Institute of Technology, Wuhan, China

3. Hubei Key Laboratory of Digital Textile Equipment, Wuhan Textile University, Wuhan, China

Abstract

With the continuous development of the marine economy and the inland river transport, traditional vessels supervision methods have the shortcomings of short supervision range, small supervision scope, and high cost, which make it difficult to meet the requirements of modern maritime supervision. This paper proposes a novel maritime emergency search system based on unmanned aerial vehicle (UAV) and its landing platform. The system takes the base station with the cruise UAV, as the base point. Subsequently, TDMA system networking technology and wireless bridge communication technology are used to set up a local area network. Then, the improved three-dimensional raster processing is used to search the target waters. After that, several algorithms such as area optimization based on image filtering are applied to classify, integrate, and fit the waters. In addition, the base station distribution scheme and the emergency equipment intelligent management system software are designed to achieve more efficient and convenient management of the system. The system realizes unmanned, visualized, and normalized monitoring and management of the target waters through the coupling of UAV, aerial protection base stations and control terminals, and provides more detailed and accurate information for the development of search and rescue work.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Ocean Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A survey of maritime unmanned search system: Theory, applications and future directions;Ocean Engineering;2023-10

2. UniFace: Unified Cross-Entropy Loss for Deep Face Recognition;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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