火力与指挥控制2024,Vol.49Issue(8) :192-198,205.DOI:10.3969/j.issn.1002-0640.2024.08.026

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

王学文 范东芳 雷建栋 李海军 陈宽亮
火力与指挥控制2024,Vol.49Issue(8) :192-198,205.DOI:10.3969/j.issn.1002-0640.2024.08.026

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

王学文 1范东芳 1雷建栋 1李海军 2陈宽亮1
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作者信息

  • 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
  • 折叠

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.

Abstract

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 respec-tively 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

Key words

multi-source information fusion/operational test/operational effectiveness/operational suitability

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出版年

2024
火力与指挥控制
火力与指挥控制研究会,火力与指挥控制专业情报网

火力与指挥控制

CSTPCDCSCD北大核心
影响因子:0.312
ISSN:1002-0640
参考文献量11
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