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公开(公告)号:US12061083B2
公开(公告)日:2024-08-13
申请号:US17435684
申请日:2020-03-02
发明人: Mirko Previsic , Ravi Challa , Anantha Karthikeyan
CPC分类号: G01C13/002 , G05D1/0206 , G06F30/28
摘要: A method and system for prediction of wave properties include collecting time series data streams from one or more wave measurement devices and processing the data using a wave-prediction algorithm to identify the frequency components of the data and compute wave parameters. The wave-field is propagated in space and time to predict wave height, speed, and velocity at a target location. A sliding window approach is used to continuously update the prediction in real-time.
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公开(公告)号:US20240093989A1
公开(公告)日:2024-03-21
申请号:US18389524
申请日:2023-11-14
发明人: Mirko PREVISIC , Ravi CHALLA , Anantha KARTHIKEYAN
CPC分类号: G01C13/002 , G05D1/0206 , G06F30/28
摘要: A method and system for prediction of wave properties include collecting time-series data streams from one or more wave measurement devices and processing the data to identify data parameters to establish boundary conditions of a numerical model. The numerical model may be used to compute a predicted wave field of time-series data for a variety of wave properties at a target location.
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公开(公告)号:US12130138B2
公开(公告)日:2024-10-29
申请号:US18389524
申请日:2023-11-14
发明人: Mirko Previsic , Ravi Challa , Anantha Karthikeyan
CPC分类号: G01C13/002 , G05D1/0206 , G06F30/28
摘要: A method and system for prediction of wave properties include collecting time-series data streams from one or more wave measurement devices and processing the data to identify data parameters to establish boundary conditions of a numerical model. The numerical model may be used to compute a predicted wave field of time-series data for a variety of wave properties at a target location.
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公开(公告)号:US20220155069A1
公开(公告)日:2022-05-19
申请号:US17435684
申请日:2020-03-02
发明人: Mirko PREVISIC , Ravi CHALLA , Anantha KARTHIKEYAN
摘要: A method and system for prediction of wave properties include collecting time series data streams from one or more wave measurement devices and processing the data using a wave-prediction algorithm to identify the frequency components of the data and compute wave parameters. The wave-field is propagated in space and time to predict wave height, speed, and velocity at a target location. A sliding window approach is used to continuously update the prediction in real-time.
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