Research and implementation of Foundation Settlement algorithm

• 1、College of Automation, Harbin Engineering University, Harbin 150001
• 2、College of electrical engineering and automation School, Harbin Institute of Technology, Harbin 150001

Abstract：With the continuous development and progress of science and technology in the times. Construction of bridges, towers and other bulidings began to be built on a large scale. The sustainable development of society and the safety of people\'s life and property would be seriously affected by the continuous development and utilization of underground resources, such as the shape of the building, the cracking of the building, and the local collapse. A high precision positioning of monitoring method of foundation settlement based on low sink BD receivers was studied and realized. First, accurate precision data from network RTK was treated smoothly by recursive average filtering of the median value. Then ultra high precision ground data was observed which a fusion algorithm based on recursive median filtering between curve fitting and median value was proposed. The accuracy of observation can reach 0.0005m. Finally, the unscented kalman filter is used to predict the settlement of the bridge. The prediction accuracy can reach 0.00001m. So the settlement trend of the bridge can be predicted accurately and avoiding major accidents.

Keywords： Navigation guidance and control Network RTK positioning Least square curve fitting Unscented Kalman Filter