Safety evaluation method based on whole life cycle of tunnel engineering

CN121810061BActive Publication Date: 2026-05-29中建三局集团西北有限公司 +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
中建三局集团西北有限公司
Filing Date
2026-03-12
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing tunnel engineering safety assessment methods lack a systematic approach to exploring cross-stage impact mechanisms, making it impossible to achieve dynamic and quantitative assessment of safety status, resulting in a lack of temporal coherence and accuracy in risk assessment.

Method used

Based on the safety evaluation method of the entire life cycle of tunnel engineering, this method acquires multi-source data, constructs a multi-stage collaborative analysis network, identifies the safety status influence relationship chain, constructs a dynamic safety status evolution map, and combines historical accident cases to quantify the probability and severity of risks.

Benefits of technology

It enables dynamic visualization and quantitative assessment of the safety status throughout the entire life cycle of tunnel engineering, improving the foresight of risk warnings and the accuracy of control measures.

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Abstract

The present application relates to the technical field of tunnel engineering safety risk assessment, in particular to a safety evaluation method based on the whole life cycle of tunnel engineering, comprising: integrating multi-source data of each stage of the whole life cycle of the tunnel to form a structured data set and extract safety features. The influence relationship chain between safety features at different stages is mined through a pre-constructed multi-stage collaborative analysis network, and a dynamic safety state evolution map is constructed based on this. In combination with historical accident cases, the state nodes and evolution paths in the map are quantitatively labeled in terms of risk probability and severity, and multi-scenario simulation deduction is carried out for the key paths. According to the quantitative results, the weak links of the whole life cycle are located and classified, and a classified list of safety hazards is generated. The method realizes the change from static and single-stage evaluation to dynamic and cross-stage correlation evaluation of safety risk, and improves the insight into the systematic risk evolution law and the accuracy of early warning.
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