Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Research on pre-processing of geotechnical engineering safety monitoring data
Feedback-based construction methods using safety monitoring data are widely used in geotechnical engineering. However, improving the quality of monitoring data and conducting accurate calculations and analysis remain challenging areas that require further research. This article introduces the principles of wavelet transform, the processing flow of wavelet packet transform, data anomaly detection, and monitoring data denoising methods. The effectiveness of the data processing is demonstrated through a case study in engineering. The results show that the quality of processed monitoring data is significantly improved, enabling a more direct and efficient reflection of data change patterns. Furthermore, this article infers the deformation state of the rock mass and the composition of the rock mass structure in reverse by starting from the changing pattern of monitoring data, taking examples of the multi-point displacement meter and anchor stress meter, combined with the general law of surrounding rock deformation during tunnel excavation and basic geological knowledge. This process provides basic information such as the depth of the loose failure zone and the range of rock mass parameters for subsequent efficient feedback analysis. This article’s proposed data processing and analysis ideas have practical significance and are operable in the automation processing, intelligent analysis, and decision-making of monitoring data. They also provide experience and references for related research and application work in this field.
Research on pre-processing of geotechnical engineering safety monitoring data
Feedback-based construction methods using safety monitoring data are widely used in geotechnical engineering. However, improving the quality of monitoring data and conducting accurate calculations and analysis remain challenging areas that require further research. This article introduces the principles of wavelet transform, the processing flow of wavelet packet transform, data anomaly detection, and monitoring data denoising methods. The effectiveness of the data processing is demonstrated through a case study in engineering. The results show that the quality of processed monitoring data is significantly improved, enabling a more direct and efficient reflection of data change patterns. Furthermore, this article infers the deformation state of the rock mass and the composition of the rock mass structure in reverse by starting from the changing pattern of monitoring data, taking examples of the multi-point displacement meter and anchor stress meter, combined with the general law of surrounding rock deformation during tunnel excavation and basic geological knowledge. This process provides basic information such as the depth of the loose failure zone and the range of rock mass parameters for subsequent efficient feedback analysis. This article’s proposed data processing and analysis ideas have practical significance and are operable in the automation processing, intelligent analysis, and decision-making of monitoring data. They also provide experience and references for related research and application work in this field.
Research on pre-processing of geotechnical engineering safety monitoring data
Advances in Engineering res
Li, Dayong (Herausgeber:in) / Zhang, Yu (Herausgeber:in) / Luan, Yalin (Herausgeber:in) / Fu, Zhihao (Autor:in) / Fu, Yuting (Autor:in)
International Conference on Architectural, Civil and Hydraulic Engineering ; 2023 ; Qingdao, China
28.12.2023
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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