Fusion of GNSS and accelerometer monitoring data for dynamic monitoring of high-rise buildings

doi:10.13474/j.cnki.11-2246.2019.0243

Abstract

Abstract: GNSS and accelerometer are the main means for the dynamic monitoring of the environmental load deformation of high-rise buildings. GNSS can offer three-dimensional displacement directly without intervisibility, while it is insensitive to the weak vibration and high-frequency vibration information due to the limitation of accuracy and sampling rate. Accelerometer has the advantages of high precision and high sampling rate, while it can not monitor the low-frequency quasi-static deformation. Aiming at making full use of the complementary advantages of these two sensors, the methods of multi-rate Kalman filter and RTS smoothing are proposed to fuse GNSS and accelerometer monitoring data of high-rise buildings. The results show that this method can weaken the high-frequency noise and improve the sampling rate of GNSS displacement data compared with the single GNSS monitoring technology, it can effectively identify the low and high vibration frequencies of high-rise buildings, and it can also improve the monitoring ability of vibration micro-deformation. Compared with the single accelerometer technology, this method can accurately monitor the low-frequency deformation information of high-rise buildings. This method has the value of good engineering application.

Key words: GNSS, accelerometer, structural vibration, data fusion, multi-rate Kalman filter, RTS smoothing

CLC Number:

P228

WANG Yarong, HUANG Shengxiang, KUANG Cuilin. Fusion of GNSS and accelerometer monitoring data for dynamic monitoring of high-rise buildings[J]. 测绘通报, 2019, 0(8): 14-19.

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