System Architecture

The Smart Buoy automated system is designed to improve beach safety through real-time environmental monitoring. It consists of three primary subsystems: Hardware (Sensors), Information Processing, and Action Mechanisms. These elements work synergistically to offer real-time environmental monitoring, thereby enhancing safety measures at coastal areas.

Modular Construction

3D printed using PLA+ with Dichtol waterproofing. Features a modular body, chamber, and cylinder design for easy maintenance.

Mesh Communication

Utilizes BLE for buoy-to-station data transfer and GPRS for cloud connectivity, with Mesh failover capabilities.

Energy Efficient

Powered by 1W solar panels and a 3200 mAh Li-Ion battery, optimized for continuous operation.

Detailed Specifications

Modular 3D Printed Design

Construction Diagram

The Smart Buoy features a complex, modular structure manufactured using 3D Printing (PLA+). To ensure longevity, the body is treated with Dichtol for complete waterproofing.

Key Components

  • Main Body: Angled slots for 1W solar panels (latitude-optimized).
  • Sealed Chamber: Base housing for battery & internal channels.
  • Removable Cylinder: Core electronics, designed for quick swap.

Durability

Airtight waterproofing via specialized lid & O-ring mechanism. Secure tethering via anchors calculated for specific buoyancy.

Dual-Circuit Sensing Subsystem

Offshore (Buoy)

  • IMU (9-axis): Arduino NANO 33 BLE for wave analysis.
  • Water Temp: Waterproof DS18B20 sensor.

Onshore Station

  • Wind: Hall sensor anemometer & compass.
  • Air Quality: BOSCH BME688 (Gas, Humidity, Temp).
  • UV Index: Radiation sensor for tourist safety.

Robust IoT Architecture

Short-Range (Buoy Shore)

BLE Encoded PHY (Range: ~200m). Features MESH Failover to relay data if direct connection drops.

Long-Range (Shore Cloud)

Aggregated data sent via GPRS (IPv4/REST). Ensures coverage in remote areas with legacy infrastructure.

Advanced Signal Processing

Raw IMU data is transformed into wave metrics (h, T, V) through a 3-stage pipeline:

01
Filtering

Low-pass & complementary filters isolate wave motion from gravity.

02
Spectral Analysis

FFT converts data to frequency domain for wave height distribution.

03
Estimation

Kalman filter & Rauch-Tung-Striebel smoothing for trajectory.

Autonomous Power Management

Self-sustainable power management system designed for continuous autonomy.

3200 mAh Li-Ion Battery
1W Solar Generation
3 Days Autonomy (No Sun)
Idle (92%)
Tx (8%)

Ready to Deploy?

Our system is validated, tested in wave pools, and ready for real-world application.

Order System Contact Engineering Team