Navigation safety control system development through navigator action prediction by data mining means

Authors

DOI:

https://doi.org/10.15587/1729-4061.2021.229237

Keywords:

vessel control, ergatic system, navigation safety, navigator behavior, accident prediction

Abstract

Taking into account current trends in the development of ergatic maritime transport systems, the factors of the navigator’s influence on vessel control processes were determined. Within the framework of the research hypothesis, to improve navigation safety, it is necessary to apply predictive data mining models and automated vessel control.

The paper proposes a diagram of the ergatic vessel control system and a model for identifying the influence of the navigator “human factor” during navigation. Within the framework of the model based on the principles of navigator decision trees, prediction by data mining means is applied, taking into account the identifiers of the occurrence of a critical situation. Based on the prediction results, a method for optimal vessel control in critical situations was developed, which is triggered at the nodes of the navigator decision tree, which reduces the likelihood of a critical impact on vessel control.

The proposed approaches were tested in the research laboratory “Development of decision support systems, ergatic and automated vessel control systems”. The use of the Navi Trainer 5,000 navigation simulator (Wärtsilä Corporation, Finland) and simulation of the navigation safety control system for critical situations have confirmed its effectiveness. As a result of testing, it was determined that the activation of the system allowed reducing the likelihood of critical situations by 18–54 %. In 11 % of cases, the system switched the vessel control processes to automatic mode and, as a result, reduced the risk of emergencies.

The use of automated data mining tools made it possible to neutralize the negative influence of the “human factor” of the navigator and to reduce the average maneuvering time during vessel navigation to 23 %

Author Biographies

Pavlo Nosov, Kherson State Maritime Academy

PhD, Associate Professor

Department of Navigation

Serhii Zinchenko, Kherson State Maritime Academy

PhD, Associate Professor

Department of Ship Handling

Andrii Ben, Kherson State Maritime Academy

PhD, Professor, Vice Rector for Research

Yurii Prokopchuk, Institute of Technical Mechanics of National Academy of Sciences of Ukraine

Doctor of Technical Sciences, Associate Professor, Leading Researcher

Department of System Analysis and Control Problems

Ihor Popovych, Kherson State University

Doctor of Psychology, Professor

Department of General and Social Psychology

Dmytro Kruglyj, Kherson State Maritime Academy

Doctor of Technical Sciences, Associate Professor

Department of Innovative Technologies and Technical Means of Navigation

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Published

2021-04-30

How to Cite

Nosov, P., Zinchenko, S., Ben, A., Prokopchuk, Y., Mamenko, P., Popovych, I., Moiseienko, V., & Kruglyj, D. (2021). Navigation safety control system development through navigator action prediction by data mining means. Eastern-European Journal of Enterprise Technologies, 2(9 (110), 55–68. https://doi.org/10.15587/1729-4061.2021.229237

Issue

Vol. 2 No. 9 (110) (2021): Information and controlling system

Section

Information and controlling system

License

Copyright (c) 2021 Павло Сергійович Носов, Сергій Миколайович Зінченко, Андрій Павлович Бень, Юрій Олександрович Прокопчук, Павло Петрович Маменко, Ігор Степанович Попович, Владислав Станіславович Мойсеєнко, Дмитро Георгійович Круглий

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