摘要
提出了一个新的日平均气温计算模型，其特点是考虑了每月可能发生的气温突变。讨论了模型建立的方法，并以热泵型空调系统模拟计算对气温模型的要求为例，确定了评价气温模型的诸因素。然后应用模糊相似优选理论对新模型与其它可能模型作了综合因素比较，排出了优劣顺序．
A new calculating model for the average daily air temperature is proposed, With possi-ble sudden change of temperature in a month taken into consideration, three traditional cal-culating models are obtained by least square fitting of observed data of average daily air tem-perature of three years. They are one harmonic term and four harmonic terms trigonometricseries and a polynomial of degree 3. The 3 years observed data is specified as a fixed modeland the data of each of the three years is specified as one of another three models.Accordingto the fuzzy set theory, five similarity factors, the average annual temperature,averagemonthly temperature, temperature distribution in every month, the number of days the heatpump operates for refrigeration and the number of days the heat pump operates for heating,are used to compare and assess the similarities between every model and the fixed one, Theorder of priority of these models is determined with the fuzzy optimum seeking method.
出处
《华中理工大学学报》
CSCD
北大核心
1994年第3期82-86,共5页
Journal of Huazhong University of Science and Technology
基金
国家自然科学基金
关键词
气温分析
模糊集合论
模糊优选
air temperature analysis
fuzzy set theory
fuzzy optimum seeking
heat pump
