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基于损伤树模型的战场损伤评估研究
引用本文:王润生,贾希胜.基于损伤树模型的战场损伤评估研究[J].兵工学报,2005,26(1):72-76.
作者姓名:王润生  贾希胜
作者单位:军械工程学院,管理装备指挥与管理系,河北,石家庄,050003
摘    要:引入人工智能技术进行准确快速的战场损伤评估时,必须解决损伤评估知识获取和表示问题.在装备结构树、损伤模式及其影响分析的基础上,建立了某装备系统损伤树,解决了如何通过损伤树获取相互关联的评估知识问题,基于损伤树模型进行了面向对象的知识表示和基于框架的知识组织.基于框架的知识组织把每种知识封装在一个框架中且各框架相对独立,使得知识库容易维护且扩展性好,有利于提高推理效率,满足装备评估要求.最后制定了有效的推理控制策略.

关 键 词:人工智能  损伤评估  结构树  损伤树  知识表示  知识组织  推理策略
文章编号:1000-1093(2005)01-0072-05

Damage Tree Model Based Battlefield Damage Assessment
WANG Run-sheng,JIA Xi-sheng.Damage Tree Model Based Battlefield Damage Assessment[J].Acta Armamentarii,2005,26(1):72-76.
Authors:WANG Run-sheng  JIA Xi-sheng
Abstract:Artificial intelligence technology is applied in the precise and rapid battlefield damage assessment. The primary problem is to achieve knowledge in battlefield damage assessment and represent it with proper methods. On the basis of the structural tree of a gun and the damage data analyzed by damage modes and effect analysis, the paper set up the equipment system damage tree, on which correlative assessment knowledge is achieved. The knowledge is represented with the object-oriented method and organized with frames based on the damage tree model. A knowledge base is built up on this organization in which each kind of knowledge is packaged in a frame and all frames are independent. It can be maintained and extended easily, and the reasoning efficiency can be improved, so the requirements on assessment are satisfied. The effective reasoning strategy is finally set up.
Keywords:artificial intelligence  battlefield damage assessment  structure tree  damage tree  knowledge representation  knowledge organization  reasoning strategy
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