雷蕾,王宁,郑皓,薛雨
LEI Lei,WANG Ning,ZHENG Hao,XUE Yu

• 1:桂林电子科技大学
• 2:大连理工大学

摘要(Abstract)：

送风量的精准预测是实现变风量空调蓄冷量精确控制的重要环节。本文根据变风量空调送风量的影响参数,基于深度置信神经网络方法,建立变风量空调送风量的预测模型。将该模型的预测结果同BP、Elman和模糊神经网络的预测结果进行对比,结果表明,深度置信神经网络的预测精度最高,平均绝对相对误差、均方根相对误差和决定系数分别为1.555%、0.789%和0.997 5,由此说明本文建立的模型能够精确有效地预测变风量空调的送风量。
The accurate prediction of the supply air volume is an important part to realize the precise control of the cold storage volume of the variable air volume air-conditioning.In this paper,according to the influence parameters of the variable air volume air-conditioning supply air volume,based on the deep-confidence neural network method,a prediction model of the variable air volume air-conditioning supply air volume is established.By comparing the prediction results of this model with those of BP,Elman,and fuzzy neural networks,the results show that the deep-confidence neural network has the highest prediction accuracy,and the average absolute relative error,root mean square relative error,and determination coefficient are 1.555%,0.789% and0.997 5,respectively,showing that the model established in this paper can accurately and effectively predict the supply air volume of the variable air volume air-conditioning.

关键词(KeyWords)： 变风量空调;送风量;深度置信神经网络;预测模型
ariable air volume air-conditioning;supply air volume;deep-confidence neural network method;prediction model

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51708146);; 广西科技基地和人才专项(桂科AD18281046);; 广西自然科学基金项目(2018GXNSFAA281283)

作者(Author): 雷蕾,王宁,郑皓,薛雨
LEI Lei,WANG Ning,ZHENG Hao,XUE Yu

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