基于仿真推演大数据的海上编队油料消耗预测算法

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中图分类号：TP391.9 文献标志码：A DOI：10.3969/j. issn.1673-3819.2025. 05. 020

Abstract：This paper presentsan algorithmic model basedon simulationfor predicting oil consumption of marine formation teams.Basedontheanalysisofrelevantcontentsofofshoreoilconsumption，nineinfluencing factorswereextracted from combatpaern，combatmission，enemy-egocapabilityandbatlefeldenvironment.Thegreycorrelationdegreeofeachnfluencingfactorandoilconsumption wascalculatedbycombininggreycorrelationaalysisandmultivariatelinearregresionanalysis.Multivariate linearregresionanalysiswasadoptedtoestablishthepredictionmodelafterselectingthefourfactors withthegreatestinfluence.Exampleverificationshowsthatthemodelconstructedinthispaperhas litledeviationfromthe actualvalue，whichprovesthatthemodelcanbeterpredicttheoilconsumptionofofshoreformationteam，andithascertainpractical value inmarineformationoil guarantee.

KeyWords：maritime formation；oil;forecastof consumption；greysystem theory；multivariate linearregressionanalysis

随着海洋在国家安全和发展中地位的上升，海上军事斗争对维护国家主权和海洋权益作用日益重要，海上方向信息化局部战争将成为未来作战新的关注点。（剩余7867字）