Slurry shield slurry discharge pipeline stagnant discharge early warning method based on multi-source data fusion and dynamic risk evolution

By using multi-source data fusion and dynamic risk evolution, the problem of early warning for slurry discharge pipe stagnation in slurry shield tunneling was solved, realizing dynamic monitoring and adaptive early warning of stagnation risk, thus improving construction safety and efficiency.

CN121659097APending Publication Date: 2026-03-13CHINA RAILWAY SHISIJU GROUP CORP
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Patent Information

Application Number
CN202511563869.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-30
Publication Date
2026-03-13

AI Technical Summary

Technical Problem

In existing slurry shield tunneling construction, the monitoring and early warning methods for slurry stagnation in drainage pipes have problems such as the nonlinear coupling mechanism between parameters not being fully revealed, the dynamic evolution process of stagnation risk not being effectively captured, insufficient adaptive ability to geological differences, and weak ability to identify early and weak signs.

Method used

By employing multi-source data fusion and dynamic risk evolution methods, and through multi-scale feature extraction, parameter coupling analysis, risk evolution map construction, and adaptive early warning threshold adjustment, dynamic monitoring and early warning of sludge discharge stagnation in the discharge pipeline can be achieved.

Benefits of technology

This improved the accuracy and timeliness of early warning for slurry drainage pipe blockage, reduced the false alarm and missed alarm rates, and ensured the safety and efficiency of slurry shield tunneling.

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Abstract

The invention discloses a slurry shield slurry discharge pipeline stagnant discharge early warning method based on multi-source data fusion and dynamic risk evolution, and the method comprises the steps: collecting multi-source monitoring data of a slurry discharge pipeline, and obtaining a comprehensive feature data set through multi-scale feature extraction; analyzing and calculating a time-varying weight based on the parameter coupling degree, constructing a risk evolution graph, and quantifying a risk evolution index; dynamically calculating a self-adaptive early warning threshold value in combination with the construction working condition; and performing multi-level early warning and risk traceability analysis according to the risk level. According to the method, the slurry discharging system is regarded as a nonlinear power system, the risk evolution trajectory is tracked through the phase-space reconstruction technology, the problems of unclear parameter coupling mechanism, risk evolution process deficiency, early warning threshold staticization and the like of a traditional method are solved, early accurate early warning and traceability diagnosis of the stagnant discharging risk are achieved, and the method is suitable for large-scale popularization and application. And the safety and efficiency of slurry shield construction are improved.
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