Against the backdrop of climate change and rapid development in marine engineering, the importance of accurately monitoring the energy structure of ocean waves is increasingly evident. The Wave Spectrum Buoy can convert three-dimensional sea surface motion into complete wave spectrum data, making it a core component of modern marine monitoring systems.
System Composition and Technical Architecture
Our Wave Spectrum Buoy consists of the following components:
Nine-axis MEMS-IMU Inertial Unit
STM32 Processor
Wave Spectrum Analysis Algorithm
Lightweight Floating Body
Wireless Communication Module (Optional: BeiDou, 4G, Satellite)
The system can achieve millisecond-level data sampling and rapid spectrum calculation in complex wave environments.

Technical Features
1. High-Precision Three-Dimensional Displacement Calculation
By fusing acceleration, angular velocity, and attitude angle, top displacement recovery is achieved.
2. High-Fidelity Spectrum and Directional Spectrum Output
Frequency band covering 0.04–1.0 Hz while maintaining low noise.
3. 3D Visualization of Energy Spectrum
Outputs F(f,θ,E) frequency-direction-energy distribution.
4. Ocean Dynamics Error Compensation
Solvees errors caused by integral drift, low-frequency offset, and attitude changes.
5. Low Power Consumption and Long Endurance Design
<50 mA current suitable for long-term observation missions.
Advantages Summary
High Precision: Based on nine-axis inertial navigation and advanced solution algorithms
Low Power Consumption: Suitable for long-term drift or fixed-point deployment
Lightweight: Simple deployment, low maintenance requirements
High Stability: Maintains data continuity even under extreme sea conditions
Autonomous and Controllable Algorithm: Supports secondary development and customization by research institutions

Applications
Offshore Wind Power Design and Power Prediction
Oceanic Research and Dynamics Experiments
Coastal Disaster Prevention and Mitigation Systems
Port and Waterway Safety Management
Coastal Erosion Research
Marine Energy Resource Assessment

