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LoRa-Based Crack Gauge (Fisurómetro) 🚀

This repository contains the code for a LoRa-based crack gauge (fisurómetro) project, which uses a Black Pill v2.0 (STM32) microcontroller to measure and transmit data on structural cracks through a LoRa network.

Features

• 3D Printed Crack Gauge: The sensor and structure are built using 3D-printed components, making it customizable for different environments.
• Black Pill v2.0 (STM32): The fisurómetro is powered by an Black Pill v2.0 (STM32) microcontroller, allowing for flexible integration with various sensors.
• LoRa Communication: The device sends the sensor data via LoRa, a long-range communication protocol.
• Power Supply: It runs on 2S batteries, suitable for long-term, low-power applications.
• Educational Outreach: The project is designed with educational activities in mind, particularly for schools and universities.

Hardware Requirements

• Black Pill v2.0 (STM32) microcontroller
• LoRa Module (e.g., RFM95W)
• 2S Batteries
• Crack Gauge Sensor (Fisurómetro)
• Custom 3D-printed components for mounting

Software Requirements

• STM32CubeIDE or any compatible platform for STM32 development
• Required libraries:
  • LMIC: For LoRa communication management
  • Wire.h: For I2C communication with sensors
  • Additional libraries as per your sensor configuration

Installation

1. Clone the repository:

   Clone this repository to your local machine using:

   git clone https://github.com/MedialabUniovi/IOT_FissureMeter.git

2. Set up the environment:

   Open the project in ArduinoIDE and ensure you have installed the required libraries.

3. Assemble the hardware:

   Connect the Black Pill v2.0 board to your LoRa module, and attach the fisurómetro sensor. Power the setup using 2S batteries.

4. Upload the code:

   Compile and upload the code to the Black Pill v2.0 (STM32) microcontroller.

Usage

1. Power on the device: Once powered, the device will begin reading data from the fisurómetro sensor and transmitting it via LoRa.

2. Data reception: The transmitted data can be collected on the receiving end of the LoRa network for analysis.

3. Customization: Modify the code to suit your needs by adding additional sensors or improving the data logging system.

Educational Activities 🌍

This project is intended for educational purposes and can be used to teach concepts such as structural monitoring, IoT, and LoRa networks. It's a great tool for engaging students in hands-on learning about the integration of hardware, coding, and communication technologies.

About MediaLab Uniovi

MediaLab Uniovi is a university laboratory of technology and design that was created in 2018 as a result of a collaboration between the City Council of Gijón, Gijón Impulsa, and the University of Oviedo. Its mission is to bring new technologies and project creation methodologies closer to people. MediaLab is based at the School of Engineering of Gijón and works to foster technological innovation and creativity.

How to Contribute

Contributions are welcome! Whether you'd like to add new features, improve the code, or develop educational resources, feel free to submit a pull request.

License

This project is licensed under the MIT License.