Real-time inversion method for full-face geology of small-diameter TBM based on multi-source sensor fusion

CN122413271APending Publication Date: 2026-07-17GUANGXI ZHUANG AUTONOMOUS REGION WATER CONSERVANCY & ELECTRIC POWER SURVEY DESIGN & RES INST CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGXI ZHUANG AUTONOMOUS REGION WATER CONSERVANCY & ELECTRIC POWER SURVEY DESIGN & RES INST CO LTD
Filing Date
2026-03-05
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The geological survey data during the tunneling process of small-diameter TBMs is highly discrete and has a limited detection range, making it difficult to fully reflect the geological distribution characteristics. Traditional methods cannot adapt to real-time changes under complex geological conditions, affecting construction safety and progress.

Method used

A multi-source sensing system was constructed to collect device response, geological contact, and environmental sensing signals. Feature extraction and fusion were performed using an adaptive weighted fusion algorithm and a deep learning network. Dynamic corrections were made by combining real-time tunneling parameters and historical data. A full-section geological information distribution map was generated using the Kriging interpolation algorithm.

Benefits of technology

This improves the accuracy and reliability of geological parameter inversion, reduces engineering rework and cost waste, and ensures construction safety and progress.

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Abstract

本发明公开了基于多源传感融合的小直径TBM全断面地质实时反演方法,涉及掘进装备技术领域,包括:构建多源传感感知系统,采集信号并构成多源传感信号集;对各类信号进行预处理,得到标准多源传感信号;引入自适应加权融合算法,生成融合特征数据;构建地质信息反演模型,输出地质参数初反演结果;对地质参数初反演结果进行动态修正,得到全断面地质信息反演结果;生成全断面地质信息分布图,完成地质实时反演。本发明通过构建多源传感感知系统,覆盖TBM掘进过程中与地质相关的多维度信息,避免单一数据源的局限性,还采用自适应加权融合算法与深度学习网络,有效提升地质参数反演的准确性,确保反演结果可靠性,减少工程返工与成本浪费。
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