C213-trabalho-2

Repository dedicated to storing the codes for the second project of the C213 - Embedded Systems course at INATEL - Instituto Nacional de Telecomunicações. This repository contains a project developed for a system that uses Fuzzy Logic to perform corrections and optimizations within the system.

Index

1. Overview
2. Documentation
3. Getting Started
   3.1 Cloning the Repository
   3.2 Setting Up the Virtual Environment
   3.3 Installing the Requirements
4. Running the Project
5. Authors

Overview

This project features an interface developed with Streamlit that leverages a Fuzzy Control System. The results are transmitted via Mosquitto-MQTT to a dashboard managed by Node-RED, where system errors and fuzzy control outcomes are displayed.

Documentation

The repository includes comprehensive documentation covering the code, project structure, and the interface, with explanatory images:

• Code and Project Structure Documentation

• Interface Documentation

Getting Started

Follow the steps below to set up and run the project locally.

Cloning the Repository

To get started, clone this repository to your local machine. Run the following command in the directory where you want to save the repository:

git clone https://github.com/matheusAFONSECA/C213-trabalho-2.git

Setting Up the Virtual Environment

A Python interpreter must be previous installed on your machine to create and activate the virtual environment. There are two ways to set up the virtual environment:

1 - Using Commands

To create a virtual environment in your repository, run the following command:

python -m venv C213venv

After creating the virtual environment, activate it with the following command:

.\C213venv\Scripts\activate

2 - Using Scripts

Alternatively, you can use one of the scripts provided in the scripts directory to automate the setup:

• Windows:

.\scripts\create_and_activate_venv.ps1

• Linux or macOS:

./scripts/create_and_activate_venv.sh

Installing the Requirements

Once the virtual environment is active, install the required dependencies by running the following command:

pip install -r requirements.txt

Running the project

Streamlit Interface

To run the application, execute the following command:

streamlit run src/main.py

Node-RED Dashboard

To visualize the MQTT messages in the Node-RED dashboard, run the following command in a separate terminal:

node-red

Note: Ensure that your machine has npm installed, along with the necessary modules to run Node-RED. Additionally, verify that the Node-RED connections are properly configured.

Authors

Matheus Fonseca

Undergraduate student in the eighth (8th) semester of Computer Engineering at the National Institute of Telecommunications (Inatel). I participated in a Scientific Initiation at the Cybersecurity and Internet of Things Laboratory (CS&ILAB), where, in the Park Here project, I developed skills in computer vision applied to parking systems, focusing on license plate recognition and vehicle identification. Additionally, I served as a teaching assistant for Physics 1, 2, and 3, helping with practical classes, report writing, and answering theoretical questions. Currently, I am an intern at the Inatel Competence Center (ICC) in the PDI SW department.

Davi Rosa

Computer Engineering student at Inatel, currently in the 8th semester. At 21 years old, I am completing my degree, focused on gaining practical experience and specializing in an area related to the course I am finishing.