Method and system for predicting ground surface settlement limit of subway tunnel underpassing high-speed railway

By integrating multi-source monitoring data and using regional prediction methods, combined with improved models and dynamic threshold adjustments, the accuracy and timeliness of settlement prediction for subway tunnels passing under high-speed railways have been solved, improving construction safety and operational controllability.

CN122220992APending Publication Date: 2026-06-16CCCC RAILWAY DESIGN & RES INST CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CCCC RAILWAY DESIGN & RES INST CO LTD
Filing Date
2026-04-14
Publication Date
2026-06-16

AI Technical Summary

Technical Problem

Existing technologies for subway tunnels passing under high-speed railways lack the accuracy and timeliness of settlement prediction, making it difficult to meet the high safety and smooth operation requirements of high-speed railways. In particular, the risk assessment is not targeted due to incomplete monitoring data, failure to consider regional differences within the section, and fixed thresholds.

Method used

By acquiring multi-source monitoring data, collaborative analysis sub-segments are divided based on feature similarity and spatial continuity. An improved LSTM model and an improved Peck formula model are used in parallel for independent prediction and weighted fusion. Combined with the dynamic adjustment of the settlement risk threshold, a settlement risk threshold matching the real-time status is generated to achieve zonal risk early warning.

Benefits of technology

It improves the accuracy and reliability of settlement prediction, dynamically adjusts risk thresholds to adapt to the real-time status of different sub-sections, provides targeted guidance, reduces construction risks, and ensures track smoothness and operational safety.

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Abstract

The application provides a subway tunnel underpassing high-speed railway surface settlement limit value prediction method and system, belongs to the technical field of settlement prediction, and the method comprises the following steps: obtaining multi-source monitoring data of each surface monitoring point in a target underpassing section; dividing the target underpassing section into multiple cooperative analysis sub-sections based on the multi-source monitoring data; using a set first prediction model and a second prediction model to perform prediction respectively to obtain first prediction results and second prediction results; performing weighted fusion on the first prediction results and the second prediction results to obtain final settlement prediction values of the cooperative analysis sub-sections; for each cooperative analysis sub-section, evaluating inherent risk attributes, current construction disturbance intensity and settlement development trend, adjusting a preset warning index specification threshold, and generating a settlement risk threshold matched with the cooperative analysis sub-section; and obtaining a partition risk warning level based on the final settlement prediction values of the cooperative analysis sub-sections and corresponding settlement risk thresholds.
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