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.
- 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.
- 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:
- Data Storage: Collects and stores gas level data received from the LoRa gateway.
- REST API: Provides endpoints for receiving sensor data and querying historical records.
- API Documentation: Interactive Swagger/OpenAPI documentation for easy API testing and integration.
- 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.
The backend provides a REST API with the following endpoints:
- POST
/receive-json: Submit sensor data from IoT devices - GET
/get-last-entity: Retrieve the most recent sensor reading - GET
/get-data-from-timestamp: Query historical sensor data from a specific timestamp
Interactive API Documentation: Access the Swagger UI at http://<host>:8000/apidocs/ to test the API directly from your browser.
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.
- 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.
- 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.
This project is open-source and licensed under the MIT License. See the LICENSE file for details.