Real-Time Wave Prediction Using Single-Probe XYZ Motion Data
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Solution Overview
Problem
Current deterministic sea wave prediction methods are limited by their reliance on multiple probes for directional wave component identification and lack of real-time capability, making them inefficient and costly for operational marine activities.
Innovation Solution
The system utilizes xyz motion data from a single wave measurement instrument to identify directional wave fields, reduces the number of required probes by a factor of three, and employs a sliding window method for continuous wave prediction, enabling real-time actionable data for operational systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple probes are used for directional wave component identification, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent combines the measurement functions of multiple probes into a single probe equipped with xyz motion sensors. This single instrument simultaneously captures three-dimensional motion data that previously required multiple separate probes to measure, thereby reducing device complexity while maintaining measurement precision through integrated sensing capabilities
Solution Approach 2:
The invention transitions from measuring only vertical wave motion (one dimension) to capturing three-dimensional xyz motion (three dimensions). This dimensional expansion allows a single probe to extract directional wave components that previously required spatial distribution of multiple probes, resolving the contradiction between measurement precision and device complexity
2Measurement precision
If physics-based wave propagation models are used, then prediction accuracy is improved, but computational time increases
Solution Approach 1:
The system performs preliminary identification of directional wave components using xyz motion data before wave propagation prediction. By pre-processing and characterizing the wave field in advance, the model receives optimized input parameters that reduce computational complexity during the prediction phase while maintaining accuracy
Solution Approach 2:
The invention extracts only the essential directional wave component parameters from the complex xyz motion data using spectral analysis. This extraction of key features removes unnecessary computational burden from the physics-based model, allowing accurate predictions with reduced computational time
3Reliability
If traditional wave measurement methods are used, then measurement reliability is maintained, but real-time capability is lost
Solution Approach 1:
The patent replaces traditional mechanical multi-probe arrays with a single electronic sensor system that uses xyz motion tracking and spectral analysis. This substitution enables real-time data processing and immediate wave field identification, providing both measurement reliability and real-time productivity that mechanical systems cannot achieve
Data Source
AI summary
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.