MQ-7 Carbon Monoxide / Gas Sensor Module

90.00 EGP

The MQ-7 gas sensor module is specifically designed to detect carbon monoxide (CO) concentrations in the air, making it essential for home safety, industrial monitoring, and DIY environmental projects. With analog and digital outputs, it easily interfaces with Arduino, ESP8266, Raspberry Pi, and other microcontrollers.

SKU: MD-22519 Category: Tags: ,

Description

⚠️ Key Features

✔ Specialized CO Detection – Optimized for carbon monoxide (20–2000 ppm)
✔ Dual Output Modes – Analog (0–5V) and Digital (TTL High/Low)
✔ Adjustable Sensitivity – Digital threshold via onboard potentiometer
✔ Heater Cycling – 5V preheat (60s) + 1.4V detection (90s) for accurate readings
✔ 5V Compatible – Works seamlessly with Arduino & other 5V logic devices
✔ Compact & Breadboard-Friendly – Easy prototyping


📊 Technical Specifications

Parameter Specification
Detection Range 20–2000 ppm CO
Operating Voltage 5V DC (heater cycles between 5V & 1.4V)
Analog Output 0–5V (higher voltage = higher CO concentration)
Digital Output TTL (High/Low) – Adjustable threshold
Preheat Time 60s @ 5V, then 90s @ 1.4V (for optimal accuracy)
Response Time < 30s (to detect CO changes)
Sensor Type Semiconductor (SnO₂-based)

🔧 Wiring Guide (Arduino Example)

  • VCC → 5V (Arduino)

  • GND → GND

  • AO (Analog Out) → A0 (for CO concentration readings)

  • DO (Digital Out) → D2 (for threshold-based alerts)

❗ Important:

  • The MQ-7 requires heater cycling (alternating 5V and 1.4V) for accurate CO detection.

  • Use a PWM-controlled circuit or library (e.g., MQ7-Library) for automatic voltage switching.


⚠️ Safety & Usage Notes

  • Not for life-critical systems (use professional CO detectors in homes/offices).

  • Avoid high humidity & alcohol fumes (may cause false positives).

  • Calibrate regularly (expose to clean air before use).


🔍 Applications

✅ Home/Office Safety – Early CO leak detection
✅ Car Exhaust Monitoring – Detect CO in garages/vehicles
✅ Industrial Air Quality – Workplace safety systems
✅ Smart Ventilation – Auto-trigger exhaust fans
✅ Educational Projects – Learn gas sensing principles

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