Task-driven ship damage control conversational training simulation system

Abstract

The invention discloses a task-driven ship damage control conversational training simulation system. The task-driven ship damage control conversational training simulation system comprises an expert knowledge base module used for storing expert knowledge of ship damage control training tasks, a task selection module used for selecting training tasks, an expert problem generation module used for generating expert problem texts and problem prompt information, a voice synthesis module used for converting the expert problem texts into audio signals, a voice recognition module used for receiving an answer audio signal and recognizing as natural language, a natural language comprehension module used for converting the natural language into answer text information, an answer judging module used for judging answer accuracy, and an expert dialog management module used for problem switching prompting. The task-driven ship damage control conversational training simulation system enables trainees and an expert system to complete damage control full-flow simulation training in a voice chat manner, can correct and prompt users of incorrect or missed control passwords, is strong in immersion, and can display complicated control links to truly reflect the real damage control process.

Description

technical field [0001] The invention relates to the technical field of simulation, more specifically, a task-driven dialogue training simulation system for ship damage management. Background technique [0002] Damage control (referred to as damage control, including anti-sinking, fire protection, etc.) is an important line of defense to ensure the vitality of ships. Accurate and efficient damage control command is the key to the success of damage control. Therefore, it is necessary to strengthen the training of the crew's damage control and command ability in peacetime to improve the efficiency of post-disaster disposal. The current damage control command training system mainly relies on the computer software interface, and the user clicks a series of buttons to complete it. The user cannot feel the process of issuing his own password, nor can he feel the impact of his command password on the development and spread of the disaster. Therefore, the current training method do...

AI Technical Summary

Problems solved by technology

The current damage control command training system mainly relies on the computer software interface, and the user clicks a series of buttons with the mouse to complete the task. Users cannot feel the process of issuing their own passwords, nor can they feel the impact of their own command passwords on the development and spread of disasters.

Therefore, the current training method does not have a strong sense of immersion, and users lack the experience of the actual damage control command process. It is a "learning" silent training

It is difficult for trainees to experience the command process from the perspective of completing damage control tasks, and it is impossible to experience the issuing of damage control command commands and the coordination of damage control tasks in the form of language communication, which is obviously different from the damage control command process under actual combat conditions

[0003] Considering the variety of system equipment involved in damage control command, the command process is complex, the command decision-making links are many, and the training is difficult; therefore, there is an urgent need for an Voice dialogue training system for easy training and assessment

At present, although voice dialogue technology has been applied in commercial fields such as telephone answering and robot voice recognition, due to the particularity of the field of ship damage control command training, its system structure design, module design, knowledge representation, dialogue management, Many key issues, such as answer evaluation, have not been resolved

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