Rocket Telemetry and Control System

Welcome!

This repo is all about building a comprehensive telemetry and control system for UCC rocket propulsion lab's current and future projects.

Project Structure

1. data_logging

• analysis.py: Analyze the data we’ve logged.
• data_logging_to_db.py: Directly logs data into our database.
• data_logging.py: The main script for data logging during flights.
• database_setup.sql: Sets up the database for storing flight data.
• flight_data.db: Our database file containing all the flight data.
• flight_model_training.py: Trains models based on flight data.
• logging_config.py: Configures how we log all our data.
• report_generation.py: Generates reports from the flight data.
• sensor_logs.csv: CSV file with all the raw sensor logs.

2. profiling

• line_profiler_script.py: Profiles the time taken by each line of code.
• memory_profiler_script.py: Keeps an eye on memory usage.
• profiler_main.py: The main script for running profiles.
• py_spy_profiling.sh: A handy shell script for using py-spy to profile.

3. scripts

• deploy.sh: For deploying the system.
• run_tests.sh: Runs all our tests to make sure everything is working.
• setup.sh: Sets up the environment for development.

4. camera_content

• camera_capture.py: Captures images or video during flight.
• camera_conversion.sh: Converts the captured media into the right format.

5. controllers

• bmp280_reader.py: Reads atmospheric pressure from the BMP280 sensor.
• failsafe.py: Implements safety mechanisms in case something goes wrong.
• gpio_controller.py: Controls the GPIO pins.
• gps_reader.py: Gets GPS data to know where we are.
• i2c_controller.py: Handles I2C communication with sensors.
• iot_client.py: Manages IoT connectivity, keeping us connected.
• motor.py: Controls the rocket's motors.
• mpu6050_reader.py: Reads motion data from the MPU6050 sensor.
• parachute_controller.py: Controls the deployment of the parachute.
• sensor_data.py: General handler for sensor data.

6. dashboards

• app.py: The main application for our dashboard.
• auth.py: Manages who gets access to the dashboard.
• exceptions.py: Handles errors gracefully.
• sensor_motor_dashboard.py: Monitors sensors and motor performance.
• stats_monitor.py: Keeps an eye on vital stats during flight.

7. ml_integration

• ai_decision_making.py: Trained model for in-flight adjustments
• autopilot.py: Movement towards waypoints if needed
• rth.py: Return to home (Useless until the end of time)

8. telemetry

• sd_receiver.py: Receives data from SD cards.
• sd_transmitter.py: Sends data out.

9. tracking

• tracker.py: The main script for tracking.

10. tests

• test_ai_decision_making.py: Tests our AI decision-making algorithms.
• test_analysis.py: Ensures our data analysis scripts are solid.
• test_auth.py: Tests the authentication system.
• test_autopilot.py: Checks if the autopilot works as expected.
• test_data_logging_to_db.py: Makes sure data logging to the database is smooth.
• test_failsafe.py: Verifies that the failsafe mechanisms work.
• test_flight_model_training.py: Tests the flight model training process.
• test_gpio_controller.py: Ensures the GPIO controller functions correctly.
• test_iot_client.py: Tests IoT connectivity.
• test_parachute_controller.py: Ensures the parachute controller deploys the chute properly.
• test_report_generation.py: Checks the report generation process.
• test_rth.py: Tests the return-to-home functionality.
• test_sensor_motor_dashboard.py: Tests the dashboard for sensor and motor data.

Other Important Files

• Dockerfile: For containerizing the application.
• LICENSE: Details about the project’s license.
• README.md: You're reading it!
• requirements.txt: All the Python dependencies you'll need.
• rocket_1.py: The main script to run the rocket’s control system.
• settings.py: Configuration settings for the entire project.

Getting Started

1. Clone the repository:

   git clone <repository-url>
   cd rocket_code
   

2. Install dependancies:

   pip install -r requirements.txt
   

3. Testing:

   bash scripts/run_tests.sh
   

4. Deployment:

   bash scripts/deploy.sh