Modern Approach to Data Collection and Processing from Automatic Identification System for Ship Traffic Organization

Author:

Karetnikov V.1ORCID,Kosiak Ya.1ORCID,Danilov O.1ORCID,Bespalov A.1ORCID

Affiliation:

1. Admiral Makarov State University of Maritime and Inland Shipping

Abstract

The article is devoted to the collection and generalization of automatic identification system (AIS) data on the movement of ships, both on inland waterways and in coastal marine areas. The list of information necessary for the further carrying out of researches on the organization of movement is defined. Attention is paid to the peculiarities of obtaining data from technical means of communication and open online resources. The approach to statistical data accumulation from AIS receiver using Raspberry Pi single-board microcomputer has been offered. The application, which reads data from the serial port and transfers them to the library and then to the PostgreSQL database management system server, is implemented. It is concluded that the proposed approach is constructive and potentially effective.

Publisher

Bonch-Bruevich State University of Telecommunications

Reference14 articles.

1. Prichkin O. Vessel Traffic Control Systems ‒ Development Horizons. Morskie vesti Rossii. 2020;5. (in Russ.) URL: http://www.morvesti.ru/themes/1693/85498 [Accessed 14th December 2022]

2. Grinyak V.M. Development of Mathematical Models to Ensure the Safety of Collective Movement of Ships. D.Sc Thesis. Vladivostok: Far Eastern Federal University Publ.; 2016. 297 p. (in Russ.)

3. Shilov K.Y., Surin S.N., Grek B.V. Experience in Developing a Promising Integrated Control System for Technical Means. Morskoy Vestnik. 2018;3(67):93‒95. (in Russ.)

4. Shiklomanova I.A. Water Resources of Russia and Their Use. St. Petersburg: State Hydrological Institute Publ.; 2008. 598 p. (in Russ.)

5. Transas. (in Russ.) URL: http://www.transas.ru [Accessed 14th December 2022]

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3