2026-04-19T15:10:46Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/100252025-01-24T01:05:34Zcom_10259_4809com_10259_5086com_10259_2604col_10259_4810
Repositorio Institucional de la Universidad de Burgos
author
Vicente Cabrera, Miguel Ángel
author
Mena Alonso, Álvaro
author
Mínguez Algarra, Jesús
author
González Cabrera, Dorys Carmen
2025-01-23T13:40:43Z
2025-01-23T13:40:43Z
2022-02
1558-3058
http://hdl.handle.net/10259/10025
10.1080/15583058.2022.2038721
1558-3066
Long-term monitoring of horizontal movement of the top of vertical elements, such as towers of historical monuments or chimneys, remains a challenge with current solutions. In such structures, which are usually of high historical and cultural value, ageing and structural degradation directly impact their horizontal movement. This study presents a novel solution based on computer vision that allows the monitoring of horizontal movements with very good accuracy (uncertainty less than ±0.26 mm), high measurement speed (up to 5 Hz), and reduced cost. A real-life validation was carried out on the south spire of the Saint Mary Cathedral in Burgos, Spain. Its horizontal movements were monitored for more than a year, and some relevant events were recorded, including high-range thermal variations, strong wind events, and ringing of the bells. The results showed that the proposed solution was particularly robust for long-term monitoring of slow movements, such as those produced by thermal events or those derived from structural degradation. The white noise of the sensor was small and, for long-term measurements and small reading frequencies, it could obtain field accuracies of the order of ±0.1 mm at a recording frequency of 1/10 Hz, which further improved at lower recording frequencies.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Computer vision
Historical heritage
Horizontal movement
Structural health monitoring
Monitoring Horizontal Movement of Top of a Spire in Saint Mary Cathedral of Burgos via Computer Vision
info:eu-repo/semantics/article
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URL
https://riubu.ubu.es/bitstream/10259/10025/1/Vicente-ijoah_2023.pdf
File
MD5
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application/pdf
Vicente-ijoah_2023.pdf