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Open Access Issue
Warship fire-fighting system intelligent reconfiguration decision-making and its application based on battle damage
Journal of National University of Defense Technology 2023, 45(2): 65-72
Published: 28 April 2023
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Aiming at the problem of isolated information of monitoring points and low degree of intelligent decision-making in the current warship fire-fighting system, a node-based fire-fighting system functional logic model was constructed. The intelligent decision algorithm of fire-fighting system damage isolation and reconstruction based on combat damage employment was put forward. And the intelligent monitoring system for fire-fighting was developed. Results of case comparison calculation and system inspection show that the intelligent decision-making algorithm and intelligent monitoring system can effectively improve the speed and accuracy of analysis and decision-making and significantly improve the efficiency of command and control, which provides effective support for the water fire fighting system under combat damage condition.

Issue
Analysis of structure modeling and optimization of complex network of warship damage control command information system
Chinese Journal of Ship Research 2022, 17(4): 220-227
Published: 27 June 2022
Abstract PDF (1.2 MB) Collect
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Objectives

The suddenness and rapidity of modern warship disasters have significantly intensified, and higher requirements have been put forward for the information level of the damage control (DC) command network. Based on the complex network characteristic analysis of a DC command information system, its network topology model is constructed.

Methods

Aiming at the shortcomings of the current model, based on the stochastic networking method and considering the node attributes of the DC command information network and the cost of increasing network density, a structural optimization method for optimal stochastic networking is proposed, and the specific optimization process is demonstrated by case simulation.

Results

The results show that the command and facilities subnets have different influences on network performance, and the improved random networking method performs better than the traditional random method in network structure optimization.

Conclusions

Subsequent research can start by changing the connection mode between subnets to solve the problem of the terminal node of the command subnet being too high, thereby further improving the comprehensive performance of the DC command information network.

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