GasMonitorLoRaCloud

The GasMonitorLoRaCloud project is a comprehensive IoT solution designed to monitor gas levels using LoRa communication, integrate with cloud platforms for data storage and visualization, and provide mobile app support for real-time monitoring.

Features

• Gas Level Monitoring: Continuously measures gas concentrations using sensors (CH4, CO, LPG, H2).
• LoRa Communication: Transmits data over long distances using LoRa technology.
• Cloud Integration: Sends collected data to cloud platforms for storage and analysis.
• Data Visualization: Offers real-time and historical data visualization through cloud dashboards.
• iOS Mobile App: Allows users to scan, connect, and interact with Bluetooth-enabled devices, providing real-time sensor data in a user-friendly interface.

---

Components

1. Hardware

• Gas Sensor: Detects specific gas concentrations.
• LoRa Module: Manages long-range wireless communication.
• Microcontroller: Interfaces with the sensor and LoRa module.
• Power Supply: Powers the hardware components.

For detailed information on hardware setup, refer to the respective READMEs:

• CAD Designs
• Handheld Gas Meter Firmware
• LoRa-Bluetooth Gateway Firmware
• PCB Design

2. Cloud Platform

• Data Storage: Collects and stores gas level data received from the LoRa gateway.
• Visualization Tools: Provides dashboards for monitoring real-time and historical data.
• Alert Mechanisms: Notifies users when gas levels exceed predefined thresholds.

For more details on the backend setup, see the Backend README.

3. iOS App

The iOS app enhances the project by providing real-time monitoring and interaction with gas sensors via Bluetooth and establishing a conectiontion to the cloud.

Key Features

• Bluetooth Scanning: Discover nearby Bluetooth Low Energy (BLE) devices.
• Device Connection: Connect to selected devices and subscribe to their data notifications.
• Real-time Sensor Data: Display detailed information such as battery status, sensor readings, temperature, and alarm statuses.
• JSON Parsing: Receive and parse JSON data from devices for structured display.

For detailed setup instructions and usage, refer to the Mobile README.

Future Enhancements

• Support for additional gas sensors.
• Improved mobile app UI/UX.
• Development of an Android app.
• Advanced cloud-based analytics and reporting.
• Integration with machine learning models for predictive analysis.

---

License

This project is open-source and licensed under the MIT License. See the LICENSE file for details.