The sudden decline in the attitude control performance is a common abnormal situation during shield tunneling. When the problem happens, the shield driver will have difficulty controlling the shield's attitude, which will cause the shield to deviate from its design axis and affect the quality of the tunnel. The causes behind poor control performance are usually complicated, so how to choose appropriate countermeasures is a challenging problem. Based on the above issues, this paper proposes the Interpretable Predictive Model for Shield attitude Control Performance (IPM_SCP). The model first predicts the current shield control performance through the extreme gradient boosting (XGBoost) sub-model and then uses the Shapley additive explanation sub-model to interpret the model output. The model was tested on the left-line tunnel of the Hangzhou–Shaoxing railway project in the Ke-Feng section. The results reveal that the model could effectively predict the control performance of the shield and give the most influential parameter and the direction in adjusting the parameter to improve the shield's attitude control performance when the control performance decreases. Therefore, IPM_SCP gives the correct parameter adjustment instructions when the shield’s attitude control performance declines, and eventually improves tunnel construction quality and efficiency.
Urban infrastructure has a large regional span and long cycle, so it has the significant characteristics of large amounts of engineering data, strong surrounding environment uncertainty, and high engineering risk. This chapter explains how to fuse the heterogeneous information of BIM and GIS models to realize smooth roaming through the lightweight and hierarchical processing of the model. Aiming at multi-dimensional and high-frequency time series data, this chapter introduces the MFAD-URP abnormal event diagnosis model based on the meta-feature extraction and self-encoding recursive map technology, which is used for early warning of emergency events, and introduces the method of comprehensive engineering emergency management information system and disposal process design after emergencies. The chapter takes the remote intelligent management of the shield tunnel engineering as an example and describes how to build a platform-level multi-engineering information management system to provide effective remote guidance on issues such as progress and safety.
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