Kal-GM组合模型在变形监测中的应用研究

综合考虑灰色系统理论和卡尔曼滤波的优点,提出了Kal-GM组合模型的建立思路及相应的精度评定公式,并将其应用于建筑物变形监测实例.结合西安市某高层建筑物沉降观测数据,通过对变形监测规律的分析,建立了相应的数学模型并对观测数据进行了处理.数据处理结果显示,本模型处理后数据曲线与原始观测数据曲线的变化趋势基本一致,较好的模拟了建筑物沉降的变化规律.本模型有效的剔除观测数据粗差,拟合精度较高,为变形观测研究提供了更为可靠的观测数据.

APPLICATION RESEARCH ON DEFORMATION MONITORING USING KAL-GM MODEL

Considering the advantages of Kalman filter and GM model, the authors put forward the building thought and accuracy assessment formula of a new Kal-GM combined model based on kal-man filter in this paper which was applied to monitoring transmutation of building. Using the settle-ment observation data of a high building in Xian, a mathematical model is set up through analyzing deformation monitoring regularity and applied to process the observation data. The results show that the variation trend between the new model and observed data are basically consistent, the transmuta-tion rule is better simulated by the mathematical model. The new model effectively eliminates errors in observational data, has a higher fitting accuracy and provides more reliable observational data for deformation monitoring.