摘要
PMV是国际上公认的反映室内热舒适度的指标,由于它与各个影响因素之间存在复杂的非线性关系,不能直接检测,因而使用上受到了限制。而利用神经网络建立了PMV指标的预测模型,可进行实时检测,从而可以解决基于PMV指标的中央空调的实时控制的问题。
The PMV has been internationally recognized as the index to reflect the indoors thermal comfort. Due to the complicated nonlinear relation between PMV and each influencing factor, it can not measure PMV index directly, therefore the application of PMV index is limited. In order to solve this problem, this paper presents the predicted model, which utilizes the neural network to predict the PMV index. The result indicates that the predicted model solved well the central air-conditioning real-time control problem based on the PMV index.
出处
《制冷空调与电力机械》
2005年第4期57-59,共3页
Refrigeration Air Conditioning & Electric Power Machinery
关键词
中央空调
神经网络
PMV指标
预测
central air-conditioning
neural network
PMV index
prediction
