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基于人工神經(jīng)網(wǎng)絡(luò )的制冷系統工況模擬
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(濟源職業(yè)技術(shù)學(xué)院 信息工程系,河南 濟源 459000) 

作者簡(jiǎn)介:

周觀(guān)民 (1964),男,河南濟源人,副教授,主要從事計算機應用,網(wǎng)絡(luò )技術(shù)方向的研究。[FQ)]

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河南省教育廳青年骨干教師資助計劃項目(2010GGJS-260);河南省科技攻關(guān)項目(1321022102293);河南省科技攻關(guān)項目(2012SJGLX342)。


Simulation of Operating Conditions for Refrigeration System Based on Artificial Neural Network
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(Department of Information Engineering,Jiyuan Vocational and Technical College,Jiyuan 459000,China;)

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    摘要:

    針對人工神經(jīng)網(wǎng)絡(luò )技術(shù)在制冷空調系統中的仿真應用,文章建立了單回路制冷系統的性能仿真系統;通過(guò)實(shí)驗模擬制冷系統在夏季的負荷變動(dòng)情況,得到了用于神經(jīng)網(wǎng)絡(luò )模型訓練的樣本數據;對制冷系統進(jìn)行多種神經(jīng)網(wǎng)絡(luò )結構的建模,并進(jìn)行了神經(jīng)網(wǎng)絡(luò )中各種結構參數對模型精度影響的分析;利用訓練好的雙隱層神經(jīng)網(wǎng)絡(luò )模型,研究了空調機組性能的影響因素,包括壓縮機頻率、室內外溫度等;模擬結果表明,機組EER隨著(zhù)壓縮機頻率增加先增加后減少,隨著(zhù)室內溫度升高而增加,隨著(zhù)室外溫度升高而減少;結果表明,人工神經(jīng)網(wǎng)絡(luò )方法是分析制冷機組性能的一種有效途徑。

    Abstract:

    According to the simulation application of artificial neural network technology in refrigeration and air conditioning system,This paper builds the performance simulation system of single loop refrigeration system. Through the experimental simulation of refrigeration system in changing in load in summer,sample data used for training the neural network model are obtained. Build a variety of neural network structure on the refrigeration system,and analysis of the influence of different structure parameters on the accuracy of the neural network model. Using the trained neural network model with two hidden layers,the refrigeration system was simulated in this paper. The factors affecting performance of air conditioning units,which include the frequency of the compressor,outdoor temperature and indoor temperature,were studied in this paper. Simulation results show that EER of the system first increases and then decreases with the increasing frequency of compressor,increases with the increasing indoor temperature,and decreases with the increasing outdoor temperature. The results show that using artificial neural network method to analyze the performance of refrigeration units is an effective way.

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周觀(guān)民,王東霞.基于人工神經(jīng)網(wǎng)絡(luò )的制冷系統工況模擬計算機測量與控制[J].,2015,23(7):2350-2353.

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  • 在線(xiàn)發(fā)布日期: 2015-07-31
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