介绍了一种分析现场热性能数据的新技术；它被整合到一个名为PROPOR的计算机程序中。这项技术利用了现代计算方法，并依赖于数据采集方面的最新进展，使现场植入传感器的精确数据积累成为可能。之前的一篇论文（Courville and Beck 1987）显示了PROPOR比其他方法在根据现场数据确定绝缘系统热导率方面的优势。 本文讨论了利用统计分析评估PROPOR可靠性的能力。该数据库是在八个月的时间内收集的温度和热流信息，用于在一个组合屋顶样本中进行聚苯乙烯（EPS）保温。该样本被安装在国家实验室的屋顶热研究仪器中。特别是，研究表明，在PROPOR中加入连续更复杂的发泡聚苯乙烯导热系数模型，可降低测量和计算内部温度之间的均方根误差，降低结果的95%置信区间，并使残差分布随机化，定义为试验期间测量和计算的温度和热通量之间的差异。 通过使用具有三个线性段的热导率随温度变化的模型，可以得到所有季节的相同热导率曲线。单位:双引文:研讨会，ASHRAE交易，1988年，第94卷，pt。2、渥太华

A new technique for analyzing field-derived thermal performance data is described; it is incorporated in a computer program called PROPOR. This technique utilizes modern computational methods and relies on recent advances in data acquisition that make possible the accumulation of accurate data from field implanted sensors. A previous paper (Courville and Beck 1987) has shown the advantages of PROPOR over other methods for determining the thermal conductivity of insulated systems from field data. In this paper, the ability to use statistical analysis in assessing the reliability of PROPOR is discussed. The data base is temperature and heat flow information collected for expanded polystyrene (EPS) insulation in a built-up roof specimen over an eight month period. The specimen was mounted in the Roof Thermal Research Apparatus at a national laboratory. In particular, it is shown that incorporating successively more sophisticated models for the thermal conductivity of expanded polystyrene into PROPOR decreases the RMS errors between measured and calculated internal temperatures, decreases the 95 % confidence interval for the results, and randomizes the distribution of residuals, defined as the differences between measured and calculated temperatures and heat fluxes during the course of the test period. By using a temperature-dependent model for thermal conductivity having three linear segments, it is shown that the same conductivity curve is obtained for all seasons.Units: Dual