基于多源信息融合的装备作战试验评估  

Equipment Operational Test Evaluation Based on Multi-source Information Fusion

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作  者:王学文[1] 范东芳[1] 雷建栋 李海军 陈宽亮 WANG Xuewen;FAN Dongfang;LEI Jiandong;LI Haijun;CHEN Kuanliang(North Automatic Control Technology Institute,Taiyuan 030006,China;The 2nd Military Representative Office of Army Equipment Department in Taiyuan,Taiyuan 030006,China)

机构地区:[1]北方自动控制技术研究所,太原030006 [2]陆装驻太原地区第二军代室,太原030006

出  处:《火力与指挥控制》2024年第8期192-198,205,共8页Fire Control & Command Control

摘  要:在装备试验过程中采用建模与仿真手段可以减少对实物现场试验的依赖,进行实物现场试验难以做到的试验,作战试验评估既有仿真数据又有实装数据等多种来源和类型的数据,需要选取合适的方法对试验数据进行分析处理。根据数据的特点进行分类,对不同类型的数据采用不同的预处理方式,将大样本频率方法数据融合结果和小样本贝叶斯方法结果,分别看作先验信息和观测样本数据,采用贝叶斯方法更新先验信息参数,得到的结果即为多源数据融合结果。根据评估指标和融合结果,采用相应的评估模型完成对装备潜在作战效能和作战适用性等的预测和评估。The use of modeling and simulation methods in equipment test process can reduce the dependency on physical on-site test,while conducting some experiments that are difficult to achieve in physical on-site test can be done.Therefore,the evaluation of combat tests includes not only simulation data,but also the actual setting-up data and various sources and types of data.The suitable methods need to be selected for analyzing and processing the experimental data.The data are classified according to their characteristics,different pre-processing methods for different types of data are utilized.The fusion results of the large sample frequency method and the small sample Bayesian method results are respectively regarded as prior information and observation sample data.The Bayesian method is used to update the prior information parameters,and the obtained result is the multi-source data fusion result.Based on evaluation indicators and fusion results,the corresponding evaluation models are utilized to predict and evaluate the potential combat effectiveness and operational suitability of equipment.

关 键 词:多源信息融合 作战试验 作战效能 作战适用性 

分 类 号:TP393[自动化与计算机技术—计算机应用技术]

 

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