基于应变计的动静态应力同步测量方法

By using pseudo-alternating sequence processing and temperature sequence constraints, the problem of unstable time correspondence in the separation and reconstruction of mixed signals of strain gauges was solved, realizing synchronous measurement of dynamic and static stress of strain gauges and reducing time window boundary distortion and temperature drift.

CN122409018APending Publication Date: 2026-07-17湖南鑫园科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
湖南鑫园科技有限公司
Filing Date
2026-06-17
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies struggle to effectively separate and reconstruct mixed strain signals from static stress, dynamic vibration, and temperature-related drift during long-term online monitoring of strain gauges, resulting in low-frequency base value entrainment, residual thermal drift, and unstable time correspondence.

Method used

A look-ahead extension sequence is generated by the tail envelope tendency of the pseudo-alternating sequence. A bidirectional time-inverse filter is performed by combining the main frequency of the tested entity structure. The look-ahead extension sequence is then pruned to obtain a zero-phase-shift alternating sequence. The temperature sequence is then input into the hysteresis constraint state-space model to separate thermal drift and mechanical creep, and output a synchronous stress sequence.

Benefits of technology

It reduces time window boundary distortion, suppresses group delay misalignment and temperature drift, and enables synchronous measurement of dynamic and static stress, ensuring the accuracy and stability of time correspondence.

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Abstract

本发明公开了基于应变计的动静态应力同步测量方法,涉及应力测量技术领域,包括:由边缘网关执行:对带绝对时间戳的混叠应变序列按重叠时间窗截取,提取并暂存极低频静载背负基线,形成伪交变序列;依据伪交变序列尾端包络趋向并结合受测实体结构主频生成前瞻延拓序列,对总序列实施双向时反滤波并裁撤前瞻延拓序列,得到零相移交变序列;将静载背负基线复位并结合温度序列输入滞后约束状态空间模型,得到静态蠕变基准;按绝对时间戳将零相移交变序列与静态蠕变基准同轨叠加,输出同步应力序列。该方法可降低时间窗边界畸变,抑制群延迟错位和温度漂移,提高动静态应力重构一致性及疲劳评估可靠性。
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Citation Information

Patent Citations

  • Predictive zero phase filtering

    US11740268B2