AHU送风温度变化特性的分形关联维数分析  

Fractal Correlation Dimension Analysis on the Variation of AHU Supply-air-temperature

作　　者：杨学宾[1] 晋欣桥[1] 杜志敏[1] 祝用华[1] 

机构地区：[1]上海交通大学制冷与低温工程研究所,上海200240

出　　处：《机械工程学报》2011年第2期149-153,共5页Journal of Mechanical Engineering

基　　金：国家自然科学基金资助项目(50976066)

摘　　要：针对定量模型方法对系统性能参数进行评价时,提出采用分形关联维数代替传统的直接比较方法。以空气处理机组(Air handling unit,AHU)送风温度为例,在三种负荷和四种噪声下对温度变化特性进行分形关联维数分析。瞬态系统(Transient system,TRNSYS)仿真平台提供送风温度测量值,AHU过程模型提供模拟值。结果表明,分形关联维数只用一个维数值就可以表征参数曲线的变化特性,能够大大减少比较参数对的数目。同时,噪声区间超过一定值后对分形关联维数计算值的影响很大,必须进行降噪处理,使相同条件下的测量关联维数计算值接近或等于模拟关联维数值。并给出不必对AHU送风温度曲线进行降噪处理的最小噪声区间。For evaluating the performance of system by using quantitative model-based method,the fractal correlation dimension technique is proposed to take the place of conventional direct-comparison method.The supply air temperature in air handling unit（AHU） is taken as an example,the temperature variations are analyzed by using fractal correlation dimension under three loads and four disturbances.The measured temperatures are obtained from transient system（TRNSYS） simulation platform and the simulated temperatures are acquired from AHU process model.The results show that the fractal correlation dimension technique can employ only one dimension value to represent the variation characteristic for parameter curve and thus the number of compared parameter pairs is considerably reduced.The noise intervals beyond certain value often have so strong impacts on dimension calculations that data filtering should be preprocessed for these disturbed measurements until measured and simulated dimension calculations are close to each other.Also,the unprocessed minimum disturbing intervals are available for the curve variation of AHU supply air temperature.

关 键 词：参数评价 分形关联维数 噪声 送风温度 空气处理机组 

分 类 号：TU831.3[建筑科学—供热、供燃气、通风及空调工程] TN911.7[电子电信—通信与信息系统]