Intelligent Evaluation of Rescuing Persons From Water in Navigation Simulator

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

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.

Key words: navigation simulator, Williamson turn, personnel overboard rescue, intelligent evaluation, BP neural network

CLC Number:

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

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