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摘 要 :预期运行或正常运行状态参数的获取，对于空调系统的维护调试、优化控制、以及故障诊断必不可少。本文综述了目前常用的获取运行参数的三种建模方法：定量模型、非统计黑箱模型和统计黑箱模型。讨论了它们的建模和计算过程，比较了它们的优缺点。分析表明，定量模型虽然建模和计算过程复杂，但其输出最可靠，应用范围最广。非统计和统计黑箱模型的方法需要大量准确可靠的已知样本数据先对模型进行训练，通过训练好的模型进行输出结果计算，其使用范围在很大程度上依赖于样本数据的范围。 关键词: 建模；数据获取；状态参数；空气处理单元；空调 Review on the model-based data acquisition for AHU supply air variables in air-conditioning systems Xuebin Yang, Xinqiao Jin and Zhimin Du School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240 Abstract: For air conditioning systems, it is essential to acquire the predicted or normal operational parameters for commissioning, optimal control, or fault diagnosis. Three existing modeling methods, including quantitative model, non-statistical black-box model and statistical black-box model, are then reviewed for data acquisition. By analyzing the modeling and calculating process, their advantages and disadvantages are compared. The quantitative model shows reliable output and has been widely used, in spite of relatively complex modeling and calculating. Non-statistical and statistical black-box model require a large number of accurate and reliable data of known samples before training, and thus output the calculations from the trained model. The practical limits mainly depend on the range of sample data. Keywords : modeling; data acquisition; operational parameter; air handling unit; air conditioning system