АРХИТЕКТУРА ИНТЕЛЛЕКТУАЛЬНОЙ СИСТЕМЫ ОРГАНИЗАЦИИ АРКТИЧЕСКИХ МОРСКИХ ГРУЗОПЕРЕВОЗОК
Работая с нашим сайтом, вы даете свое согласие на использование файлов cookie. Это необходимо для нормального функционирования сайта, показа целевой рекламы и анализа трафика. Статистика использования сайта отправляется в «Яндекс» и «Google»
Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

ARCHITECTURE OF INTELLIGENT SYSTEM OF ORGANIZATION OF ARCTIC MARITIME CARGO TRANSPORTATION

Sobolevskaya E.Y.,  Glushkov sergey vitalievich G.G.,  Levchenko N.G. 

UDC 004.8:656.614(3) (985)
DOI:

  • Abstract
  • List of references
  • About authors

The analysis of the software intended for management of sea freight transportation processes is has been carried out. A number of shortcomings have been identified in the existing software used to organize work in specific navigation areas, such as the Northern Sea Route: lack of decision support systems, lack of analysis to calculate time and cost of cargo delivery. The architecture of an intelligent system for the organization of sea freight traffic has been developed, taking into account the difficult conditions of navigation in the Arctic. The architectures of two modules have been developed: calculation of the cost sea cargo transportation; calculation and analysis of a safe and faster route depending on the month (time of year). The process of simulation modeling is based on the methods of artificial intelligence - the neural network, expert systems, the mathematical tool of fuzzy logic. The architecture of the intellectual system of organization of sea freight traffic with a successful implementation will allow: to provide the senior management of the shipping company with a predictable analytics; to support decision-making; to monitor the process of cargo transportation in real time; to carry out schemes for calculating the effective use of icebreakers; to calculate the best possible way of delivery; to provide on-demand online forecast for transportation at a certain point in time, minimize the cost of shipping, delay in transit, risks to cargo safety.

1. Ofitsial'nyy sayt Arkticheskogo i Antarkticheskogo nauchnoissledovatel'skogo instituta. [Elektronnyy resurs] – Rezhim dostupa: http://www.aari.nw.ru

2. Lentarev A.A., Levchenko N.G. Perspektivy ispol'zovaniya intellektual'nykh sistem v upravlenii Severnym morskim putem. Morskie intellektual'nye tekhnologii. Nauchnyy zhurnal No. 3 (33) Vol.1 2016. pp. 355-359

3. GOST 28806-90 Kachestvo programmnykh sredstv. Terminy i opredeleniya [Elektronnyy resurs]. – Rezhim dostupa: http://docs.cntd.ru/document/1200009077

4. Ostroukh A.V., Intellektual'nye sistemy - Uchebnoe posobie [Elektronnyy resurs]. – Rezhim dostupa: http://lib.madi.ru/fel/fel1/fel16E379.pdf

5. Глушков С.В., Левченко Н.Г. Аспекты применения интеллектуальных информационных технологий в управлении на морском транспорте. Морские интеллектуальные технологии. Научный журнал № 3 (33) T1 2016. С. 325-332

6. Shumskiy A.A., Shelupanov A.A. Osnovy sistemnogo analiza. Uchebnoe posobie. Tomsk: V-Spektr, 2007. – 218 s.

7. Levchenko N.G., Syasin D.Yu. Aspekty postroeniya informatsionnoy sistemy predpriyatiya vodnogo transporta. Ekspluatatsiya morskogo transporta. Nauchnyy sbornik. No. 3(61) 2010 pp. 3-8

8. Cargo Wiz [Elektronnyy resurs]. – Rezhim dostupa: http://www.softtruck.com/

9. Dr. Bjorn Gunnarsson. Managing Director, Centre for High North Logistics (CHNL) Nord University, Norway. Future Development of the Northern Sea Route. [Elektronnyy resurs]. – Rezhim dostupa: https://www.maritimeexecutive.com/editorials/future-development-of-the-northern-sea-route

10. Magaya Cargo System [Elektronnyy resurs]. – Rezhim dostupa: http://siconcrm.com/magaya-cargo-system/

11. MultiMix [Elektronnyy resurs]. – Rezhim dostupa: http://www.multiscience.de/

12. Dzharratano Dzhozef, Rayli Gari. Ekspertnye sistemy: printsipy razrabotki i programmirovanie. / Dzhozef Dzharratano, Gari Rayli. M.: OOO «Izdatel'skiy dom «Vil'yams», 2007. 1152 p.

13. Kuz'min G.M. O sborakh i platezhakh za prokhod Severnym morskim putem. Vestnik transporta 7/2010 [Elektronnyy resurs]. – Rezhim dostupa: http://www.transrus.ru/vestnik

14. Vestnik transporta 7/2010 [Elektronnyy resurs]. – Rezhim dostupa: http://www.transrus.ru/vestnik

15. Programmy dlya perevozok [Elektronnyy resurs]. – Rezhim dostupa: http://zhikharev.weebly.com/progs.html

16. Racker3d [Elektronnyy resurs]. – Rezhim dostupa: http://www.packer3d.ru/

Sobolevskaya Evgenia Yurievna

Email: study_z@list.ru

Vladivostok State University of Economics and Service

Vladivostok, Russian Federation

Glushkov sergey vitalievich Glushkov sergey vitalievich Glushkov sergey vitalievich
Doctor of Technical Sciences, Professor

Maritime State University. adm. GI Nevelskogo

Vladivostok, Russian Federation

Levchenko Natalya Georgievna
Candidate of Technical Sciences
Email: Levchenko@msun.ru

Maritime State University. adm. GI Nevelskogo

Vladivostok, Russian Federation

Keywords: sea cargo transportation, northern sea route, arctic, intellectual systems, simulation modeling

For citation: Sobolevskaya E.Y., Glushkov sergey vitalievich G.G., Levchenko N.G. ARCHITECTURE OF INTELLIGENT SYSTEM OF ORGANIZATION OF ARCTIC MARITIME CARGO TRANSPORTATION. Modeling, Optimization and Information Technology. 2017;5(4). URL: https://moit.vivt.ru/wp-content/uploads/2017/10/Sobolevskaya_4_1_17.pdf DOI: (In Russ).

892

Full text in PDF

Published 31.12.2017