An operation phase-oriented security risk intelligent evaluation method for a bearing system

By deploying multi-type sensor networks in large infrastructure and engineering structures, data is acquired and processed synchronously, static, dynamic, and damage-sensitive features are extracted, and a load-bearing capacity degradation model is constructed. This solves the problem of early hidden damage identification and prediction, and improves the safety assessment capability during the operation phase.

CN122243176APending Publication Date: 2026-06-19BEIJING NO 4 MUNICIPAL CONSTR ENG

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING NO 4 MUNICIPAL CONSTR ENG
Filing Date
2026-02-03
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing technologies struggle to systematically integrate static response characteristics, dynamic modal characteristics, and damage sensitivity characteristics during the operation phase of large-scale infrastructure and engineering structures. They lack dynamic understanding and early warning response strategies for the evolution of load-bearing capacity, and are unable to identify and accurately predict early hidden damage under complex stress environments.

Method used

By deploying a multi-type sensor network, structural response, environmental load, and damage characteristic data are acquired synchronously. Time synchronization, spatial registration, and data cleaning are performed to extract static, dynamic, and damage-sensitive characteristic indicators, construct a bearing capacity degradation model, generate multi-level early warning information, and adjust monitoring strategies.

Benefits of technology

It enables continuous quantitative tracking and precise identification of early hidden damage to the load-bearing system, improves the ability to perceive and respond to early degradation processes, and realizes proactive health management and safety assurance of the load-bearing structure.

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Abstract

This invention relates to the field of risk assessment technology, specifically to an intelligent assessment method for the safety risks of load-bearing systems during the operational phase, comprising the following steps: S1: Synchronously acquire structural response data, environmental load data, and damage characteristic data; perform time synchronization, spatial registration, and data cleaning on the acquired multi-source heterogeneous data to obtain standardized monitoring data; S2: Based on the standardized monitoring data, extract static characteristic indicators, dynamic characteristic indicators, and damage-sensitive characteristic indicators of the load-bearing system; calculate the accumulation rate of minor damage; and quantitatively assess the current load-bearing status of the load-bearing system; S3: Construct a load-bearing capacity degradation model to predict changes in the safety reserve of the load-bearing system; when the safety reserve falls below a warning threshold, generate multi-level warning information; and automatically adjust monitoring strategies and maintenance measures according to the warning level. This invention improves the ability to perceive and proactively respond to early degradation processes.
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