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沉降监测工作在高层建筑整个施工过程中很关键,沉降预计也十分重要。为了更好地预计沉降值,本文利用SPSS统计与分析软件建立多种曲线模型对实测值进行回归分析,拟合出不同曲线并分析比较不同模型的精度,得出最为符合实际情况的预计模型表达式,并进一步进行分段优化。经分析研究与实例验证,该模型在一定程度上具有很好的可靠度与可行性,且分段拟合效果更佳。
Subsidence monitoring is crucial in the entire construction of high-rise buildings and settlement is also expected to be very important. In order to predict the settlement value better, this paper uses SPSS statistical and analysis software to establish a variety of curve models to conduct regression analysis of the measured values, fitting different curves and analyzing and comparing the accuracy of different models to arrive at the most appropriate model of the actual model Type, and further sub-optimization. After the analysis and the example verification, the model has a good degree of reliability and feasibility to some extent, and the segmentation fitting effect is better.