一种基于多学科设计优化的大型舰艇淡水用水量预测方法

发布时间：2018-05-17 11:31

  本文选题：多学科设计优化 + 预测方法　； 参考：《船海工程》2016年02期

【摘要】：介绍一种依据多学科设计优化理论,适用于大型舰艇淡水用水量预测的方法。该方法通过确定日用水系统参数,协调与其余系统的耦合关系,有助于舰艇的多学科集成优化。预测过程首先分析大型舰艇淡水使用规律,针对多学科集成优化设计要求,选取"日用水量"和"时用水量"建模,综合考虑影响因素和时间序列数据,建构预测组合模型,通过BP神经网络求解模型,得出预测值。
[Abstract]:A method for predicting freshwater water consumption of large ships based on multidisciplinary design optimization theory is introduced. By determining the parameters of the daily water system and coordinating the coupling relationship with the other systems, this method is helpful to the multidisciplinary integration optimization of ships. In the forecasting process, first of all, the law of freshwater use of large ships is analyzed. According to the requirements of multidisciplinary integrated optimization design, the "daily water consumption" and "hourly water consumption" models are selected, and the forecasting combination model is constructed by considering the influence factors and time series data synthetically. BP neural network is used to solve the model and the prediction value is obtained.
【作者单位】： 海军装备部驻426厂军事代表室;中国舰船研究设计中心;
【基金】：国家部委基金资助项目
【分类号】：U674.70
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本文编号：1901194