🌊 OceanTech: Real-Time Hydrodynamic Risk Monitoring System

A final-year engineering project developed around a 10-meter flume-based Open Channel Flow (OCF) setup, OceanTech 🤖 is a smart prototype designed to assess soil erosion, wave energy, and structural stress using a combination of:

• Hydraulics + Fluid Modeling
• IoT & Edge Devices
• Machine Learning (ML)
• Distributed Systems with Apache Kafka
• Real-Time Dashboards with Grafana

---

📸 Project Preview

🔧 Flume-Based Setup

📡 IoT Sensors & Data Collection

📊 Real-Time Grafana Dashboard

---

🚀 Key Features

• Real-Time Data Collection using embedded sensors to monitor:

  • Flow rate
  • Wave height
  • Soil displacement
  • Vibration/strain on structures

• Kafka-Based Streaming Pipeline for:

  • Reliable ingestion of time-series data
  • Scaling to future deployments (bridges, embankments)

• ML Model for:

  • Predicting zones of maximum shear stress
  • Classifying erosion risk
  • Forecasting potential bridge collapse or landslide likelihood

• Grafana Integration:

  • Interactive dashboards
  • Real-time visualization of system health and environment parameters

• Localhost + Edge Device Server:

  • Offline-first design with fallback to central cloud
  • Raspberry Pi or equivalent for edge processing

---

🧠 Architecture Overview

graph TD
  A[IoT Sensors - ESP32] --> B[MQTT Broker]
  B --> C[MQTT-Kafka Connect]
  C --> D[Kafka Broker]
  D --> E[Kafka Consumer - Wave Processor]
  E --> F[ML Model - Prediction Engine]
  E --> G[InfluxDB - Time Series Storage]
  E --> H[S3 - Long Term Storage]
  G --> I[Grafana Dashboard]

Loading