OceanLink IoT System
The research focuses on designing and testing a LoRa-based communication system tailored for small fishing vessels operating in maritime environments. The system uses LoRaWAN technology, a Dragino gateway, and a network of hardware nodes to transmit, receive, and log data. The project includes developing a web server for centralized data management, prototype hardware nodes, and a mobile interface through Bluetooth connectivity. The study emphasizes system reliability, fault tolerance, and field optimization in real-world conditions.
Network Server Development
Facilitation of communication between the web server and the Dragino gateway.
Gateway Configuration
Setup and implementation of a Dragino LoRa gateway to establish the network.
Prototype Hardware Node
Development and configuration of a node for data reception and transmission.
System Logging
Logging of transmitted data for monitoring and further routing.
PCB and Casing Design
Transition of the prototype to a compact, durable PCB design suitable for maritime conditions.
Mobile Device Integration
Configuration of nodes to transmit data to a phone via Bluetooth.
Fault Tolerance and Routing
Implementation of fault-tolerant measures and optimization of routing protocols.
Open Sea Testing
Real-world system testing and optimization in maritime environments.
FishCast Insights
The project, “Enhancing Maritime Safety: Implementing a LoRa-Based Communication System for Small Fishing Vessels,” is designed to address the critical challenges faced by small-scale fishermen. By leveraging LoRa (Long Range) technology and integrating AI/ML models, the solution provides a cost-effective, user-friendly mobile application. Key features include real-time weather analytics, fishing hotspot predictions, and SOS alerts, ensuring safety, efficiency, and sustainability in fishing operations. This innovative system empowers fishermen with affordable and reliable technology, tailored to their needs.
Real-Time Weather Analytics
Provides localized weather updates and alerts, enabling fishermen to make safer decisions while at sea.
Fishing Hotspot Prediction:
o AI-powered predictions identify optimal fishing locations based on environmental data and historical trends.
LoRa-Based Communication System
Ensures reliable, long-range communication in remote maritime environments with low power consumption.
User-Friendly Mobile Application
Designed with simplicity and accessibility in mind for users with limited technical expertise.
Sustainability-Focused Insights
o Includes environmental assessments to promote sustainable fishing practices and protect marine ecosystems.
Scalable and Low-Power Solution
Designed to be scalable across different regions and operable on low-power devices, making it suitable for widespread adoption.
AquaSafe Mobile App
The AquaSafe Mobile Application is a robust solution designed to support small scale fishermen in remote and challenging maritime conditions. Operating entirely without internet connectivity, the app leverages LoRa technology for long-range communication and Bluetooth for local interactions, ensuring reliable performance at sea. AquaSafe emphasizes usability and accessibility with a user-friendly interface and key features such as a numbering code-based chat system for efficient communication, emergency SOS alerts, fishing hotspot predictions and real-time weather updates. This innovative mobile app enhances maritime safety, coordination, and operational efficiency, empowering fishermen with reliable tools for navigating harsh environments.
LoRa-Based Offline Communication
Delivers reliable, long-range communication that operates completely without internet connectivity, using LoRa and Bluetooth for efficient, low-power performance at sea.
Bluetooth Integration for Local Interactions
Facilitates seamless communication and device connectivity within a localized area, enabling real-time data exchange between mobile devices and ESP32.
ESP32 BLE Device Configuration
Configures ESP32 and enables BLE advertising, allowing seamless initialization and communication between the app and ESP32 devices for data sharing.
Emergency SOS Alerts
Sends instant distress signals via the LoRa network, ensuring timely assistance during emergencies.
Numbering Code-Based Chat System
Enables quick, efficient communication without typing delays, tailored for maritime conditions where time and simplicity are critical.
Real-Time Weather Analytics
Delivers precise and localized weather updates, ensuring fishermen can make informed and safer decisions while navigating at sea.
FleetView Web Platform
The Aquesafe Web Application is an integrated platform designed to address the unique challenges faced by small fishing vessels, particularly those operating in remote and resource-constrained maritime environments. By leveraging advanced technologies such as LoRa, the platform provides real-time tracking, long-range communication, and actionable data insights to enhance maritime safety, operational efficiency, and regulatory compliance. With a focus on affordability, low-power consumption, and user-friendly tools, Aquesafe empowers small-scale fishers to access critical information for safe and efficient operations, bridging the technological gap and promoting sustainable fishing practices.
GPS-Based Vessel Location Tracking
Implement GPS tracking to monitor vessel positions in real time with high accuracy.
Route Records Generation
Process onboard node data to create precise fishing boat route histories.
Optimized LoRa Data Transmission
Enhance LoRa communication for secure, efficient long-range data delivery.
Data Supply to Nodes
Provide critical data to onboard nodes to support vessel operations and decision-making.
Emergency Alerts
Develop a system to detect and notify emergencies for immediate response.
Gateway Monitoring
Ensure network reliability by monitoring the LoRa gateway and addressing performance issues promptly.