Open AccessAdoption of Distributed Optical Fibre Sensing Technology in Geological Engineering under Three-dimensional Visualization Environment
Author(s) -
Jiangtao Xu,
Zhenwei Yang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/4/042028
Subject(s) - smoothing , visualization , smoothness , computer science , feature (linguistics) , feature engineering , noise (video) , data compression , data mining , compression (physics) , algorithm , artificial intelligence , computer vision , image (mathematics) , mathematics , materials science , mathematical analysis , linguistics , philosophy , deep learning , composite material
To better solve the problem of data noise caused by the application of optical fibre sensing technology in geological engineering, the overall design of geological engineering monitoring system in three dimensional (3D) visualization environment is firstly carried out in this study, and the data processing module of distributed optical fibre sensing system is designed in detail. Then feature compression algorithm is proposed for the smooth de-noising of geological monitoring data feature. Finally, through the comparison of the data smoothing de-noising of geological engineering with the compression algorithm proposed in this study, the desiccating effect is verified by using three indexes of signal-to-noise ratio, mean square error, and smoothness. The results show that the feature compression algorithm has a good effect on the smooth de-noising of geological monitoring data. At the same time, more unnecessary information is omitted in the adoption of geological engineering, and the smoothness of curves is taken into account, which greatly promotes the widespread application of distributed fibre optic sensing technology in geological engineering.