An Integrated Intelligent Approach for Monitoring and Management of a Deep Foundation Pit in a Subway Station
Abstract
:1. Introduction
2. Implementation Path of Intelligent Foundation Pit Engineering
3. Project Overview
4. Three-Dimensional Transparent Geological Modeling of Foundation Pit Based on In-Situ Test and BIM
5. Foundation Pit Safety Monitoring Based on Multi-Source Sensing Technology
5.1. Foundation Pit Monitoring Based on MEMS Sensing Technology
5.2. Foundation Pit Monitoring Based on BOFDA Distributed Optical Fiber Sensing Technology
5.3. Foundation Pit Settlement and Displacement Monitoring Based on UAV and Machine Vision
6. Intelligent Monitoring Platform for a Foundation Pit Based on Deep Learning and BIM
6.1. Neural Network Models
6.2. Intelligent Monitoring Platform of Foundation Pit Based on BIM
7. Digital Twin Integration of Metro Foundation Pit Construction and Operation and Maintenance
8. Conclusions
- Through on-site geological investigation, refined geological information of the on-site soil layer was obtained. Three-dimensional transparent geology was then developed on the BIM platform to facilitate information management of the on-site soil layer and effectively control the construction risk;
- Through MEMS sensing technology, BOFDA distributed optical fiber sensing technology, laser radar, UAV and machine vision technology, the key parameters of the foundation pit, including but not limited to axial force, displacement, strain, temperature, etc., were obtained. The accuracy and reliability of monitoring data were greatly improved using a variety of monitoring methods and multi-source sensing technology;
- An intelligent monitoring platform of foundation pit based on BIM of independent intellectual property rights was developed using a cast modeling cloud platform to realize integrated monitoring and management of the foundation pit during construction. Four ML neural network algorithms were used to predict the key parameters of the foundation pit. It was found that the algorithm with the smallest error in the project was the GA-BP algorithm;
- A DT app terminal open platform integrating intelligent construction and operation and maintenance of rail transit was developed using DT means, which included three major functions: three-dimensional visualization, full life cycle monitoring and predictive analysis. Based on app and augmented reality technology, BIM 3D model, facilities, equipment and other operation and maintenance data were combined with the current real tunnel scenario to realize the DT of subway stations.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Hong, C.; Zhang, J.; Chen, W. An Integrated Intelligent Approach for Monitoring and Management of a Deep Foundation Pit in a Subway Station. Sensors 2022, 22, 8737. https://doi.org/10.3390/s22228737
Hong C, Zhang J, Chen W. An Integrated Intelligent Approach for Monitoring and Management of a Deep Foundation Pit in a Subway Station. Sensors. 2022; 22(22):8737. https://doi.org/10.3390/s22228737
Chicago/Turabian StyleHong, Chengyu, Jinyang Zhang, and Weibin Chen. 2022. "An Integrated Intelligent Approach for Monitoring and Management of a Deep Foundation Pit in a Subway Station" Sensors 22, no. 22: 8737. https://doi.org/10.3390/s22228737