摘要
快速准确评估舰船目标毁伤特征能够确保取得好的海上作战效果,同时也可以为技术人员提供好的决策支持。传统的舰船目标毁伤特征采集效果评估软件缺少与初始状态的对比,只能单一的记录毁伤后的状态,对比性不够强烈。为了解决此问题,基于贝叶斯网络推理技术研究了一种新的采集效果评估软件,设计了毁伤树评估流程,利用可视化界面记录船舶的初始状态、遭受毁伤后的状态,以及二维模拟后的毁伤状态。为了检测该软件的实际工作效果,与传统软件系统进行对比,设计了对比实验。实验结果表明,该软件能够综合性地评价目标船舶的毁伤情况,为海上攻击作战提供有利的技术支持。
Fast and accurate evaluation of damage characteristics of ship targets can ensure good operational results at sea, and can also provide good decision support for technicians. Traditional ship target damage assessment software lacks comparison with initial state, only a single record of damaged state, the contrast is not strong enough. In order to solve this problem, a new acquisition effect evaluation software is studied based on Bayesian network reasoning technology. The damage tree evaluation process is designed, the initial state of the ship is recorded by the visual interface, the state after the damage and the damage state after the two-dimensional simulation. In order to detect the actual effect of the software, compared with the traditional software system, a comparative experiment was designed. The experimental results show that the software can comprehensively evaluate the damage situation of the target ship and provide favorable technical support for maritime attack operations.
出处
《舰船科学技术》
北大核心
2018年第9X期184-186,共3页
Ship Science and Technology
关键词
舰船目标
毁伤特征
采集效果
评估软件
信号检测系统
warship target
damage characteristics
acquisition effect
evaluation software
signal detection system