摘要
针对武器装备健康状态精确控制的需求,提出了基于大数据综合推理的武器装备健康状态控制决策方法。首先,对武器装备全寿命周期数据进行采集与处理,形成以武器装备健康状态为特征属性之一的知识库;其次,根据武器装备健康状态动态控制流程,提出综合案例库推理和规则库推理的机制;再次,采用K近邻算法计算相似度进行案例推理和采用事实特征集合匹配进行规则推理,并不断形成新知识;最后,以某型武器装备液压系统为例,根据其健康监测及其他属性特征数据推理出控制策略。仿真结果表明:融合大数据的综合推理方法能提供与武器装备健康状态相适应的精细且准确的动态控制决策,可为实现武器装备健康状态精确管理提供有力支撑。
To acquire precise control of weaponry and equipment health state,a decisive control method is proposed using comprehensive reasoning of big data.First,the whole life cycle data of weaponry and equipment was collected and processed to form knowledge as one of the characteristic attributes.Then,according to the dynamic control flow of weaponry and equipment health state,a mechanism of an integrated case using reasoning and rule base reasoning was proposed.Thirdly,the k-nearest neighbour algorithm is used to calculate similarity for case-based reasoning,and fact feature set matching was used for rule reasoning where new knowledge was constantly formed.Finally,taking the hydraulic system of a certain weapon as a case study,the control strategy was deduced from its health monitoring and other attribute data.The simulation results show that the integrated intelligent reasoning method integrated with big data can generate precise and accurate dynamic control decisions adapted to the health state of weaponry and equipment,and can effectively support the accurate management of the health state of weaponry and equipment.
作者
郭璐
刘晓东
王玉峰
张振
GUO Lu;LIU Xiaodong;WANG Yufeng;ZHANG Zhen(Jiangnan Institute of Mechanical and Electrical Design,Guiyang 550009,Guizhou,China;School of Equipment Management and UAV Engineering,Air Force Engineering University,Xi'an 710051,Shaanxi,China)
出处
《空天防御》
2023年第3期85-94,共10页
Air & Space Defense
基金
国防基础科研项目(JCKY2017204A011)。
关键词
大数据
健康状态
控制决策
综合推理
big data
health state
control decision
comprehensive reasoning
