https://github.com/jordymail/fire-and-smoke-detection-esp32
IoT-based environmental monitoring system using an ESP32 microcontroller. It integrates sensors for temperature, humidity, smoke, carbon monoxide (CO), and dust.
https://github.com/jordymail/fire-and-smoke-detection-esp32
cpp detections fire fire-and-smoke-detection internet-of-things mqtt-broker sensors smoke
Last synced: about 1 year ago
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IoT-based environmental monitoring system using an ESP32 microcontroller. It integrates sensors for temperature, humidity, smoke, carbon monoxide (CO), and dust.
- Host: GitHub
- URL: https://github.com/jordymail/fire-and-smoke-detection-esp32
- Owner: JordyMail
- Created: 2025-04-09T20:56:53.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-07T14:36:01.000Z (over 1 year ago)
- Last Synced: 2025-06-15T04:11:28.803Z (over 1 year ago)
- Topics: cpp, detections, fire, fire-and-smoke-detection, internet-of-things, mqtt-broker, sensors, smoke
- Language: C++
- Homepage:
- Size: 45.9 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# IoT Environmental Monitoring System with Fire and Smoke Detection (ESP32)
## Project Benefits
This project is an **IoT-based environmental monitoring system** using an **ESP32** microcontroller. It integrates sensors for **temperature, humidity, smoke, carbon monoxide (CO), and dust** to:
- Detect potential fire or smoke hazards in real-time.
- Provide alerts through a buzzer and indicator LEDs.
- Send sensor data to an MQTT broker for remote monitoring.
- Improve safety and air quality awareness in homes, offices, warehouses, or labs.
---
## Hardware Requirements
- **ESP32** (microcontroller)
- **DHT22** (temperature & humidity sensor)
- **MQ7** (carbon monoxide sensor)
- **MQ135** (air quality / smoke sensor)
- **Dust sensor** (optical-based)
- **Buzzer**, **Red/Yellow/Green LEDs**
- Wi-Fi connection
- MQTT Broker (e.g., `broker.emqx.io`)
---
## Required Libraries
- `WiFi.h`
- `PubSubClient.h`
- `DHT.h`
- `ArduinoJson.h`
Install these via Arduino IDE Library Manager.
---
## Configuration
- **Wi-Fi SSID**: `Your-Wifi-name, example: jo-wifi`
- **Password**: `Your-passowrd-name, example: 123`
- **MQTT Broker**: `broker.emqx.io`
- **Port**: `1883`
- **MQTT Topic**: `example: IoT/group8`
---
## Monitoring Web
click this Link to direct you to the websiete monitorng repository
## Sensor Design
## Code Overview
### WiFi Setup
```cpp
void setupWifi()
````
Connects the ESP32 to the configured Wi-Fi network and prints the local IP address.
---
### MQTT Reconnection
```cpp
void reconnectMQTT()
```
Attempts to reconnect to the MQTT broker if disconnected, using client ID `ESP32Client`.
---
### Read Temperature & Humidity
```cpp
float readDHTTemperature()
float readDHTHumidity()
```
Reads values from the DHT22 sensor. Returns 0 if the reading fails.
---
### Dust Sensor Reading
```cpp
int readDustSensor()
```
Triggers the LED inside the dust sensor, reads analog value from dust pin, and calculates concentration.
---
### CO Conversion (MQ7)
```cpp
float convertMQ7(int rawValue)
```
Converts raw analog value into an estimated CO concentration in ppm using a basic formula.
---
### MQTT Publish
```cpp
void publishSensorData(...)
```
Sends a JSON-formatted payload to the MQTT topic with sensor readings and environment status.
---
### Output Control
```cpp
void setOutputs(bool buzzer, bool red, bool yellow, bool green)
```
Controls the buzzer and LEDs (ON/OFF) based on the condition detected.
---
### Setup
```cpp
void setup()
```
* Initializes sensors and pin modes.
* Turns on the green LED as default state.
* Connects to Wi-Fi and sets up MQTT.
---
### Main Loop
```cpp
void loop()
```
* Reads all sensor data.
* Evaluates the following conditions:
* 🔴 **FIRE DETECTED**: MQ135 > 1800, Temp > 45°C, Dust > 2000, Humidity < 30%
* 🟡 **SMOKE DETECTED**: MQ135 > 800 and CO > 50 ppm
* 🟢 **NORMAL**: All values within safe range
* Controls outputs and sends data via MQTT every second.
---
## Example JSON Payload
```json
{
"temperature": 30.5,
"humidity": 45.3,
"dust": 1000,
"co": 80.2,
"air_quality": 900,
"status": "WARNING: Smoke detected"
}
```
---
## Notes
* For accurate CO measurement, calibrate the MQ7 sensor’s R0 resistance value.
* MQTT data can be visualized using tools like Node-RED, ThingsBoard, or custom dashboards.
* Can be extended with cloud logging or mobile notifications.
---
## License
This project is open-source and free to use for educational and non-commercial purposes.
---
## Contributors
Developed by **Group 8** - IoT Project 2025
### Hotel Room Design 1 (700cm x 320cm)
