Intelligent Evaluation of Rescuing Persons From Water in Navigation Simulator

Authors

Haichao Wang, Key Laboratory of Marine Simulation &Control for Ministry of Transportation Dalian Maritime University, Dalian 116026, China;
Yin Yong, Key Laboratory of Marine Simulation &Control for Ministry of Transportation Dalian Maritime University, Dalian 116026, China;

Abstract

Abstract: Aiming at the arbitrariness and inconsistent standards in the subjective assessment of the personnel overboard rescue training evaluation in the navigation simulator, the maneuvering process of Williamson turn rescue overboard personnel is analyzed. The evaluation index system is obtained by using the expert investigation method. The sample data of the personnel overboard rescue operation is obtained by the navigation simulator. Combining the expert investigation method, the subjective score of each sample is obtained. By using the BP neural network to train and test the samples, the intelligent evaluation model of personnel overboard rescue is obtained, and the intelligent evaluation is realized. Experimental analysis shows that the accuracy of the model is high, and the performance evaluation is consistent with the maneuvering level of the crew, which proves the rationality of the evaluation model.

Recommended Citation

Wang, Haichao and Yong, Yin (2021) "Intelligent Evaluation of Rescuing Persons From Water in Navigation Simulator," Journal of System Simulation: Vol. 33: Iss. 11, Article 12.
DOI: 10.16182/j.issn1004731x.joss.21-FZ0754
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss11/12

First Page

2647

Revised Date

2021-08-14

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-FZ0754

Last Page

2655

CLC

TP391;U675.94

Recommended Citation

Wang Haichao, Yin Yong. Intelligent Evaluation of Rescuing Persons From Water in Navigation Simulator[J]. Journal of System Simulation, 2021, 33(11): 2647-2655.

Corresponding Author

Yin Yong,

DOI

10.16182/j.issn1004731x.joss.21-FZ0754