Gas Detector - Advanced IoT Final Project 🚀🔥🛠️

This repository contains the source code and setup guide for my final project in the Advanced IoT Course at University of Kashan. The project is a Gas Detector system built using Arduino Wemos D1, various sensor modules, an LED indicator, and an active buzzer for alert notifications. 🔧📡⚡

Features 🎯🛠️📡

• MQTT Communication: Connects to HiveMQ broker for real-time data exchange.
• Node-RED Dashboard: Provides a graphical interface for monitoring and controlling the system.
• Alarm System: Activates LED and Buzzer when gas levels exceed a threshold.
• Email Alerts: When the gas level exceeds a bound, it sends an email to warn you. 📩⚠️📊
• Customizable Topics: MQTT topics can be changed in the code to suit different configurations.

How It Works 🏭🔍📶

1. The gas sensor detects gas concentration in the environment.
2. If the gas level exceeds a predefined threshold, the LED turns on and the buzzer sounds an alarm. 🔊⚠️💡
3. The Wemos D1 board publishes gas level readings to the HiveMQ MQTT broker.
4. Node-RED subscribes to the MQTT topics, processes the data, and displays it on a dashboard.
5. If the gas level exceeds a bound, the system sends an email alert. 📧🚨📊
6. The system can be monitored and controlled through the Node-RED dashboard. 📊🔄🖥️

Getting Started 🚀🔌🛠️

Hardware Requirements 🖥️🔩🔋

• Wemos D1 (ESP8266)
• MQ-2 or MQ-135 Gas Sensor
• Active Buzzer
• LED
• Resistors and Jumper Wires
• Breadboard

Software Requirements 💻📲⚙️

• Arduino IDE with ESP8266 board support
• MQTT Library (PubSubClient)
• HiveMQ Broker (Cloud-based MQTT service)
• Node-RED for data visualization and control

Setup Instructions 🛠️📝📡

1. Arduino Code ⚡🔢🔄

• Install Arduino IDE and add ESP8266 board support.
• Install PubSubClient library for MQTT communication.
• Update the WiFi credentials and MQTT broker details in the code.
• Upload the code to the Wemos D1 board. 🔄🚀⚙️

2. Node-RED Dashboard 📊🔍🖥️

• Import the provided JSON flow file into Node-RED.
• Update MQTT topics if necessary.
• Deploy the flow and monitor sensor data in real time. 📡📈💡

Customization 🛠️🖥️📌

• You can modify MQTT topics in the Arduino code to match your requirements.
• Import the provided Node-RED JSON file to visualize data effectively.
• Adjust the threshold values in the code to set alarm conditions. 🔄⚠️📊

Future Improvements 🌍📈💡

• Integrating a mobile notification system using Telegram or WhatsApp. 📲💬🚀

Author 👨‍💻🏫📜

Mehrdad Chaharbaghi - Advanced IoT Course, University of Kashan

Feel free to contribute and improve the project! 🚀✨🤝