Abstract: 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.
Type:
Grant
Filed:
November 14, 2023
Date of Patent:
October 29, 2024
Assignee:
RE VISION CONSULTING, LLC
Inventors:
Mirko Previsic, Ravi Challa, Anantha Karthikeyan
Abstract: 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.
Type:
Grant
Filed:
March 2, 2020
Date of Patent:
August 13, 2024
Assignee:
RE VISION CONSULTING, LLC
Inventors:
Mirko Previsic, Ravi Challa, Anantha Karthikeyan