Analysis of influence factors of machine visual instrument in surface settlement monitoring of open-cut station project

Chanjun Sun; Mingwei Jiang; Zhitao Zhao; Zhendong Li; Kuijian Du; Longsheng Huang; Wei Cui

doi:10.1117/12.3055469

12 December 2024 Analysis of influence factors of machine visual instrument in surface settlement monitoring of open-cut station project

Chanjun Sun, Mingwei Jiang, Zhitao Zhao, Zhendong Li, Kuijian Du, Longsheng Huang, Wei Cui

Author Affiliations +

Proceedings Volume 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024); 1343918 (2024) https://doi.org/10.1117/12.3055469
Event: Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 2024, Xiamen, China

Abstract

In this paper, a open-cut subway station project in Beijing is taken as Beijing. By analyzing a large amount of monitoring data, the factors affecting the accuracy of machine vision instrument are analyzed. The influence degree of each factor on the machine vision instrument is quantified by calculating the correlation coefficient. The results show that light intensity, distance and vibration are the main factors affecting machine vision instrument, while temperature, humidity, air quality and other factors have little influence on instrument accuracy.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chanjun Sun, Mingwei Jiang, Zhitao Zhao, Zhendong Li, Kuijian Du, Longsheng Huang, and Wei Cui "Analysis of influence factors of machine visual instrument in surface settlement monitoring of open-cut station project", Proc. SPIE 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 1343918 (12 December 2024); https://doi.org/10.1117/12.3055469

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