Floating Metocean Sensor Arrays for Real-Time Wave Monitoring
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Solution Overview
Problem
Current ocean wave sensors are expensive, complex, and difficult to deploy and maintain, leading to sparse data coverage, especially in open ocean regions, which results in inaccurate operational wave forecasting models due to accumulation of small errors over long distances and time.
Innovation Solution
The development of floating metocean sensor systems with compact, autonomous, and solar-powered instruments that include GPS receivers, satellite transceivers, and hydrophones, enabling real-time data collection and transmission of wave and wind characteristics using machine learning algorithms to improve data density and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional ocean wave sensors are used, then measurement precision is improved, but device complexity and deployment difficulty increase
Solution Approach 1:
The sensor system is divided into modular components: a buoyant platform for deployment, separate sensor modules for wave and wind measurement, and independent processing units. This segmentation allows each component to be optimized independently while reducing overall system complexity and deployment difficulty.
Solution Approach 2:
The sensor platform is designed as a multi-functional system that simultaneously measures wave characteristics, wind parameters, and provides positioning data. By integrating multiple measurement functions into a single deployable unit, the system reduces the number of separate complex instruments needed while maintaining comprehensive measurement precision.
2Measurement precision
If traditional ocean wave sensors are used, then measurement precision is improved, but ease of operation and maintenance deteriorates
Solution Approach 1:
The sensor system incorporates autonomous operation capabilities including self-positioning via GPS, automatic data transmission to remote servers, and onboard processing that reduces the need for manual intervention. The system monitors its own status and can alert operators to maintenance needs, significantly improving ease of operation while maintaining measurement precision.
3Quantity of substance
If sensor deployment density is increased, then data coverage is improved, but device complexity and cost increase
Solution Approach 1:
Multiple sensor units are merged into a coordinated network that shares common infrastructure for data processing, communication, and analysis. By combining the operational complexity of multiple sensors into a unified system architecture, the overall complexity management is improved while enabling higher data coverage density through coordinated operation of distributed units.
4Productivity
If process-based forecasting models are used, then computational efficiency is improved, but measurement precision deteriorates due to error accumulation
Solution Approach 1:
The system continuously collects real-time wave and wind measurement data from deployed sensors and feeds this information back into forecasting models to correct and refine predictions. This feedback mechanism allows the system to maintain high measurement precision by adjusting model parameters based on actual observed conditions, preventing error accumulation while preserving computational efficiency through targeted model updates rather than complete re-calculations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
These systems provide low-cost, high-density data coverage, enabling accurate real-time monitoring of ocean waves and winds, reducing errors in wave forecasting and enhancing our understanding of ocean dynamics and air-sea interactions.
Implementation Method 1
a power regulating circuit configured to charge a battery using energy collected by the solar panels
Implementation Method 2
a global positioning system (GPS) receiver, a satellite transceiver, and a power regulating circuit configured to charge a battery using energy collected by the solar panels; wherein the GPS receiver is configured to measure positions of the instrument in real time
Implementation Method 3
a buoyant metocean sensor unit may include a hull having an inner cavity; processing logic and a displacement sensor disposed in the inner cavity of the hull; and a hydrophone coupled to the hull
Implementation Method 4
processing logic configured to: receive acoustic data from the hydrophone and motion data from the displacement sensor; determine local wave characteristics based on the motion data
Data Source
AI summary
A real-time metocean sensor array system may include a one or more floating instruments each including geolocation capabilities and connected to a satellite communication network. In some examples, the floating instruments may further include an omnidirectional hydrophone. Motion and acoustical data gathered by the instruments may be converted by onboard processing logic into wave, current, and/or wind-related observations that may be communicated in real time and analyzed via a cloud-based system.