浮标式风力测量中的运动诱导错误:海上应用的机制,补偿方法和未来前景
Dandan Cao1,2,3, Sijian Wang1,2,3, Guansuo Wang1,2,3
1East China Sea Forecasting and Disaster Reduction Center, Ministry of Natural Resources, No. 1593 Haigang Avenue, Pudong New District, Shanghai 201306, China.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
用于测量海面风的浮式平台会因为运动而引入错误. 本研究回顾了错误类型和补偿方法,强调了先进的机器学习和准确的风数据的标准化验证的需要.
科学领域:
- * 海洋学和气候科学
- *可再生能源部门 (海上风能)
背景情况:
- *精确的海面风力测量对于气候科学,海洋学和海上风能至关重要.
- *浮动平台 (浮标,漂流器,浮动LiDAR系统) 对于深水风的评估至关重要.
- *平台运动 (俯冲,滚动,起伏,偏移) 在风力测量中引发了重大错误.
研究的目的:
- * 综合当前关于浮动平台运动诱导的测量误差的知识.
- * 审查补偿这些错误的技术的演变.
- * 确定持续存在的挑战和未来的研究方向.
主要方法:
- * 关于运动诱导错误机制和补偿策略的文献综合.
- *错误类型的分类:几何偏差,速度污染,流膨胀,LiDAR特定的扭曲.
- *对补偿技术的时间序列审查:坐标转换,卡尔曼过器,响应幅度运算器,机器学习.
主要成果:
- *确定了四个主要的错误机制:几何偏差 (0.4-3.4%),速度污染,流膨胀 (15-50%),以及LiDAR扭曲.
- * 记录了补偿方法从基本算法到高级机器学习的进展.
- * 突出持续存在的挑战:在极端海域的传感器可靠性,特征不佳的振动-流合,缺乏统一的验证.
结论:
- * 需要先进的方法,如深度学习和自适应算法,以进行强大的错误纠正.
- *标准化评估协议和开放数据集对于比较补偿方法至关重要.
- * 智能软件与下一代传感器和稳定平台的整合是关键的研究重点.
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