Abstract:Performance of occupied room air-conditioner(RAC) is an important evaluation index to estimate RAC continue energy saving efficiency. In order to investigate characteristic of RAC long-term performance(LTP) and acquire the cost optimation design methodology of high LTP in multi-factors impact condition, a BP neural network prediction method has been applied. The training sample of LTP prediction BP neural network acquired form experimental result of occupied RACs and data of RACs

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... c LTP on-line monitor system. By a large size of training sample, the decision weights of multi-impact factors and LTP optimation strategies can be obtained. The performances of 26 occupied RACs have also been tested. 85% of testing data ias served as training sample data and 15% of testing data ias served as validation data to LTP prediction BP neural network. The result indicated that the prediction is convergence and error is less than 5% during the BP neural network training by 22 samples. The decision weights of time weighted high temperature cooling, rated cooling, low temperature heating, rated heating normalized performance value are 0.187, 0.203, 0.312, 0.298, respectively. For further increasing the prediction precision, RAC performance online monitor system and LTP online data acquisition website has been established for data acquisition to validate LTP prediction BP neural network. Based on the acquisition database, a big data mining method has also been proposed in RAC LTP optimization design and investigation. Key words:room air conditioner;long-term energy saving;BP neural network;big data mining 0 前言 1 近年来,随着我国经济的高速发展和人民生活 * 中国质量检测中心(2013IK133)和中国环境保护部环境保护对外合作 中心课题(C/III/S/15/008)资助项目。20141120 收到初稿,20150410 收 到修改稿 水平的快速提高,我国空调器的产量和拥有量均出 现了快速增长的趋势 [1] 。国家实施一系列的强制性 ), 通过能效比(Energy efficiency ratio, EER)、性能系数 (Coefficient of performance, COP)、制冷季节能效比 (Seasonal energy efficiency ratio, SEER)、 全年性能系 月 2015 年 9 月 巫江虹等:房间空调器长效运行性能预测及优化方案的研究 159