The influence of traffic vibration on Great Wall deformation is monitored by accelerometer

Zhe Cui; Xu Liu; Fei Liu; Jian Wang

doi:10.1117/12.2667489

10 February 2023 The influence of traffic vibration on Great Wall deformation is monitored by accelerometer

Zhe Cui, Xu Liu, Fei Liu, Jian Wang

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125521H (2023) https://doi.org/10.1117/12.2667489
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

With the rapid development of the modern transportation network, the phenomenon of roads crossing the Great Wall is increasing day by day, making ground traffic vibration an important factor affecting the safety of the Great Wall. This paper firstly analyzes the correlation between traffic flow and the vibration acceleration of enemy stations on the Great Wall; then establishes a vibration data denoising method based on variational mode decomposition (VMD) combined with FLANDRIN criterion, and removes the high-frequency noise of vibration acceleration; To denoise the acceleration data, an integrated VMD and Hilbert-Huang transform (HHT) time-frequency feature extraction model was introduced to extract the instantaneous vibration frequency and intensity. The results show that the ground traffic vibration has a great influence on the short-cut Great Wall, which leads to the vibration of the enemy stations on the Great Wall, and the vibration frequency is 0.27 Hz; the VMD-HHT model can accurately obtain the instantaneous vibration frequency and intensity characteristics of the enemy stations on the Great Wall. This research can provide an important reference for the real-time safety monitoring and protection of the Great Wall.

Citation Download Citation

Zhe Cui, Xu Liu, Fei Liu, and Jian Wang "The influence of traffic vibration on Great Wall deformation is monitored by accelerometer", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125521H (10 February 2023); https://doi.org/10.1117/12.2667489

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