GeoSED Sensor System

The GeoSED Sensor System is designed to automate the gathering of environmental and system performance data using a Raspberry Pi 4B. The system will provide real-time monitoring of the following parameters:

• Water Level: 0 – 40 meters
• Water Velocity: 0 – 10 m/s
• River Discharge Rate: Derived from other parameters
• Panel Temperature: -40 to 80°C
• Panel Humidity: 0 – 100%
• Raspberry Pi CPU Usage: 0 – 100%
• Raspberry Pi CPU Temperature: 0 – 85°C
• Raspberry Pi CPU Speed: 600 MHz – 1.5 GHz

• Water Level Monitoring: Measure river water levels using the LiDAR-Lite v3 sensor.
• Water Velocity Monitoring: Utilize a camera and OpenCV to estimate river water velocity
• River Discharge Rate Monitoring: River discharge is derived by multiplying water level, water velocity, and river width.
• Panel Status Monitoring: Temperature and humidity inside the device panel is monitored using the DHT22 sensor.
• CPU Performance Monitoring: Track CPU usage, temperature, and speed of the Raspberry Pi 4B.
• Automated Data Collection: A Python script manages data acquisition and processing.
• Data Transmission: Transmit collected data via text messaging (SMS) for remote monitoring using the GSM SIM900-A module.

• Security: Implement AES-128 encryption (ECB mode) for data transmission to ensure confidentiality.
• Scalability: Ensure the system can integrate additional sensors if needed.
• Reliability: The system should operate continuously with minimal downtime, powered by a solar panel, charge controller, and battery to ensure continuous operation in remote locations.
• Cloud Integration: Store and process collected data on an Amazon-hosted server for remote access, analysis, and visualization.