大坝监测数据的灰色系统动态检验模型

Grey system-based dynamic detecting model for dam safety monitoring data

通过对大坝安全监测数据粗差产生原因的分析,提出了一种基于灰色系统理论的监测数据伪值检验方法和检验模型,它无需长序列样本,并可随着环境量的变化调整模型参数.该方法计算量小,速度快,对于监测点较多的自动化系统非常适用.

A false data detecting method is proposed and a detecting model is developed for examining dam safety monitoring data based on the grey system theory by analysis of the causes of deviation of dam monitoring data. In the model, no long data series is needed, and the parameters of the model can be adjusted with the variation of environmental parameters. With a small amount and high rate of calculation, the method is fit for the automatic system with many monitoring points.