GNSS/accelerometer robust monitoring model for dynamic displacement of structures and buildings

Xinyao Zhao; Houzeng Han; Deng Yang; Jinzhan Du

doi:10.1117/12.2667291

10 February 2023 GNSS/accelerometer robust monitoring model for dynamic displacement of structures and buildings

Xinyao Zhao, Houzeng Han, Deng Yang, Jinzhan Du

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125523E (2023) https://doi.org/10.1117/12.2667291
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

In view of the demand for dynamic displacement safety monitoring of super-high buildings, bridges, dams and other structures, and the problems of difficult high-frequency monitoring with GNSS technology and weak algorithm robustness, this paper introduces an accelerometer to design a simple multi-rate Kalman filter algorithm, and constructs a GNSS/accelerometer robust monitoring model for dynamic displacement of structures based on the robustness principle. This model not only improves the monitoring density and accuracy, but also improves the robustness of the algorithm. In the ground shaking table simulation experiment, the root mean square errors of dynamic displacement monitoring at three frequencies of 0.5 HZ, 1 HZ, and 1.5 HZ are 5.3mm, 6.8mm, and 7.4mm, respectively. Compared with pure GNSS technology, the monitoring accuracy is improved by 24.2%, 29.1%, and 28.8%, respectively. The monitoring results have no obvious gross errors, and the model is more effective for environments with relatively lower frequencies. Therefore, the model proposed in this paper effectively solves the problem of high-frequency dynamic displacement monitoring of structures, and improves the monitoring accuracy and robustness.

Citation Download Citation

Xinyao Zhao, Houzeng Han, Deng Yang, and Jinzhan Du "GNSS/accelerometer robust monitoring model for dynamic displacement of structures and buildings", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125523E (10 February 2023); https://doi.org/10.1117/12.2667291

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available