Predictive Maintenance System

Table of Contents

• Predictive Maintenance System
• Table of Contents
  • Introduction
  • Tech Stack
  • Setup Instructions
    • Prerequisites
    • Cloning the Repository
    • Setting Up Docker
  • Development
    • Running the Development Server
  • Testing
  • Production Build
  • Usage
  • Contribution Guidelines
  • License

Introduction

This project is a comprehensive IoT device simulation and monitoring system. It includes a Next.js dashboard for visualizing device data, Node-RED for workflow automation, and Mosquitto as the MQTT broker.

Tech Stack

• Frontend: Next.js, React
• Backend: Node-RED
• MQTT Broker: Mosquitto
• Containerization: Docker
• Languages: TypeScript, JavaScript, Python

Setup Instructions

Prerequisites

• Git
• Docker
• Node.js (for local development)

Cloning the Repository

git clone https://github.com/your-username/your-repo.git
cd your-repo

Setting Up Docker

Ensure Docker is installed and running on your machine. Navigate to the project directory and build and start the Docker containers:

docker-compose up --build

Development

Running the Development Server

For the Next.js dashboard:

cd scheduler-dash
npm install
npm run dev

Testing

To run tests for the Next.js dashboard:

cd scheduler-dash
npm run lint

Production Build

To create a production build for the Next.js dashboard:

cd scheduler-dash
npm run build
npm start

Usage

• Access the Next.js dashboard at http://localhost:3000.
• Access Node-RED at http://localhost:1880.
• The Mosquitto MQTT broker is available at mqtt://localhost:1883.

Contribution Guidelines

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Commit your changes (git commit -m 'Add some feature').
5. Push to the branch (git push origin feature-branch).
6. Open a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.