Rocket Telemetry & Flight Data System 🚀

An embedded systems and telemetry software architecture designed for flight data acquisition, real-time control, and telemetry visualization. Developed as a Senior Capstone Project at Fayetteville State University.

🛠️ System Architecture & Technology Stack

The project utilizes a multi-node wireless network over Bluetooth Low Energy (BLE) to orchestrate data collection and mechanical actuation:

• Hardware Ecosystem:
  • 1x Arduino Nano 33 BLE Sense: Positioned on the water rocket payload to aggregate sensor data.
  • 1x Arduino Nano 33 BLE: Configured as the central controller to actuate physical servos.
  • 1x Arduino Nano 33 BLE: Dedicated to managing real-time data streaming between the central controller and the peripheral flight node.
• Software & Data Engineering:
  • Firmware: C++ / Arduino embedded programming (.ino) implementing BLE communication protocols.
  • Data Acquisition: Real-time logging of IMU and environmental telemetry, including Acceleration, Gyroscope, Magnetometer, and Altitude.
  • Dashboard & Visualization: Python application featuring a custom graphical user interface built with PyQt5 and dynamic telemetry data graphing leveraging Matplotlib.

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🚀 Installation & Execution Guide

Follow these steps to set up the local environment and run the telemetry dashboard.

1. Prerequisites & Environment Setup

Ensure you have Python 3.8+ installed on your system. Clone the repository and navigate to the project directory:

git clone https://github.com
cd rocket-telemetry-system

2. Install Dependencies

Install all required packages instantly using the project's dependency manifest:

pip install -r requirements.txt

3. Running the Telemetry Dashboard

Launch the main Python interface to begin monitoring the flight data visualizations:

python uiDesign.py

🔌 Firmware Deployment (Embedded Hardware)

• Open RocketFlight_central.ino and RocketFlight_peripheral.ino using the Arduino IDE.
• Install the ArduinoBLE library via the Library Manager.
• Compile and flash the respective files to your Arduino Nano 33 BLE boards to initiate node-to-node wireless communications.

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👥 Engineering Team & Academic Supervision

• Developers: Jean Paul Fermaint, Christian Torres
• Class Professor: Dr. Jin
• Project Advisor: Professor Joe Kabbes
• Timeline: Fall 2021