Real-time inclination dynamic early warning method for steel-concrete transition zone of hybrid tower wind turbine

By using multi-source data fusion and dynamic threshold adjustment, the problems of false alarms and reliability in the tilt angle monitoring of the steel-concrete transition zone of hybrid tower wind turbines were solved, enabling accurate identification and early warning of structural tilt, and improving the robustness and adaptability of the monitoring system.

CN122407477APending Publication Date: 2026-07-17HUADIAN JILIN ENERGY CO LTD +2

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUADIAN JILIN ENERGY CO LTD
Filing Date
2026-05-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies cannot effectively distinguish between elastic deformation and structural damage in the steel-concrete transition zone of hybrid tower wind turbines, leading to frequent false alarms from tilt sensors and a lack of dynamic adaptability, which affects the reliability of safety assessments.

Method used

By fusing multi-source heterogeneous data and utilizing tilt angle, strain, and SCADA data, a 'condition-elastic response' benchmark model is constructed. The early warning threshold is dynamically adjusted, and combined with trend early warning, wind-induced elastic deformation interference is eliminated, enabling accurate identification and early warning of structural tilt.

Benefits of technology

It improves the anti-interference capability and reliability of the monitoring system, reduces the false alarm rate, provides early fault identification and safety warning, adapts to different operating conditions, and reduces operation and maintenance costs.

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Abstract

本发明公开了混塔风电机组钢‑混过渡区实时倾角动态预警方法,涉及大型风力发电设备结构健康监测与安全评估领域。该方法首先在钢‑混过渡区同步采集倾角数据、应变数据及风速、功率等环境载荷数据,离线构建“工况‑弹性响应”基准模型;在线监测阶段,将实时多源数据输入基准模型得到理论弹性倾角,通过残差计算提取真实永久倾角;结合实时工况动态匹配预警阈值,采用分级策略实现故障预警,并利用微风或停机时段数据自适应更新模型,补偿环境漂移。本发明突破了传统单一倾角监测的局限,抗干扰能力强、灵敏度高,可有效识别螺栓松动、法兰开裂、基础不均匀沉降等早期故障,无需额外增加硬件,为风电机组安全运维提供精准决策依据。
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