论文部分内容阅读
在地下工程开挖过程中,地下涌水量对施工人员的安全及工程的安全性有较大的影响。由于地下涌水量的影响因素复杂且呈非线性关系,为了能更准确地预测涌水量,采用某大型厂房地下涌水量的原始数据,通过对地下涌水量建立灰色预测模型、回归预测模型以及时间序列预测模型,预测出地下涌水量的发展趋势,对比分析表格数据、图表特征以及预测精度,得出灰色预测模型预测效果最佳。研究表明,灰色预测模型可以在较少数据的基础上达到合理预测的目的。研究结果可对工程安全提供参考,为类似工程提供借鉴。
In underground excavation process, underground water inflow on the safety of construction workers and engineering have a greater impact. Because of the complex and non-linear relationship of groundwater inflow, in order to forecast the water inflow more accurately, this paper uses the original data of groundwater inflow in a large factory to establish gray prediction model, regression prediction model and time series Forecasting model to predict the development trend of groundwater inflow. By comparing the tabular data, chart features and prediction accuracy, it is concluded that the gray forecasting model has the best forecasting effect. The research shows that the gray prediction model can achieve the purpose of reasonable prediction on the basis of less data. The results of the study can provide reference for engineering safety and provide references for similar projects.