Miniature CO2 Module T6713

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Smart Home Automation with Miniature CO₂ Module T6713 and BLE Multi-Device Control

Introduction

Modern smart homes are no longer just about convenience; they are about health, energy efficiency, and automation intelligence. Among the many parameters that define a healthy indoor environment, carbon dioxide (CO₂) levels play a vital role. Your body naturally wants to expel CO₂, which means you should avoid high concentrations of it in the air you breathe.

The Amphenol Advanced Sensors Telaire T6713 is a miniature, energy-efficient CO₂ sensor module designed for precision indoor air quality monitoring. When integrated with a Bluetooth Low Energy (BLE) automation system, it becomes the brain of a fully automated environment — controlling ventilation, lighting, and appliances based on air quality, occupancy, and user preferences.


Core of the System: Telaire T6713 Miniature CO₂ Module

The T6713 module is a factory-calibrated NDIR (Non-Dispersive Infrared) CO₂ sensor that measures concentrations up to 5000 parts per million (ppm) with high accuracy.

Key Features:

  • Size: 30 mm × 15.6 mm × 8.6 mm — perfect for embedding in compact control units.

  • Low Power: Ideal for energy-conscious designs and battery-powered BLE hubs.

  • Interfaces: I²C, UART, or PWM for flexible microcontroller communication.

  • ABC Logic™: Patented self-calibration that eliminates the need for frequent recalibration in most environments.

  • Accuracy: Maintains stability and reliability throughout its lifetime.


Complete Smart Home BLE Automation Solution

System Overview

Each room in the home is equipped with:

  • BLE Device Controller (ESP32 or similar microcontroller)

  • Telaire T6713 CO₂ Sensor for air quality monitoring

  • 5-Device Relay Control Module (LED lights, light load devices, heavy load devices, appliance control)

  • Fan with PWM Speed Control

  • Two Motion Sensors:

    • Door Sensor: Detects entry/exit.

    • Human Presence Sensor: Detects ongoing occupancy to avoid false triggers.

  • AI Automation Engine: Processes sensor data and sends control commands automatically.


How It Works

  1. Room-by-Room BLE Control

    • Every room is an independent BLE node.

    • The user can connect to the room’s BLE controller via a smartphone or central hub.

    • BLE ensures low latency and secure, localized control without relying on internet connectivity.

  2. CO₂ Monitoring and AI-Driven Control

    • The T6713 CO₂ Module continuously measures CO₂ concentration.

    • If CO₂ levels exceed 1000 ppm (indicating poor air quality), the AI system:

      • Increases fan speed via PWM output.

      • Activates ventilation or opens automated vents.

      • Notifies the user through the mobile app.

    • When CO₂ returns to optimal levels (< 800 ppm), the system reduces fan speed to save energy.

  3. Lighting Control

    • LED Light ON/OFF Control via relay or MOSFET drivers.

    • Light Load Control (e.g., table lamps, small electronics) for smart automation.

    • Heavy Load Control (e.g., air conditioner, heater) with relay isolation for safety.

    • Each device can be toggled individually through the app or automation rules.

  4. Fan Speed Control

    • Fan motor is connected to a PWM controller driven by the BLE microcontroller.

    • Speed adjustments are automatic based on:

      • CO₂ levels (from T6713)

      • Temperature (optional DHT22/DS18B20 sensor integration)

      • User preference set via the mobile app.

  5. Motion-Triggered Automation

    • Door Sensor: When someone enters, the room lights up automatically.

    • Human Presence Sensor: Keeps lights and ventilation on while occupants are inside. Turns them off after a set delay when no motion is detected.

    • AI can differentiate between short-term and long-term absence for better energy savings.

  6. AI Integration

    • AI engine processes multiple inputs:

      • CO₂ concentration

      • Motion detection events

      • Light load usage patterns

      • Time of day

    • Executes automation scenarios like:

      • Night Mode: Dim lights and slow fans at night.

      • Energy-Saving Mode: Turn off non-essential loads when room is empty.

      • Fresh Air Mode: Boost ventilation during high CO₂ periods.


Example Operation Scenario

  • Morning:
    Motion sensor detects entry → Lights ON, fan at low speed.
    CO₂ is low, so ventilation remains idle.

  • Midday:
    CO₂ levels rise to 1200 ppm due to cooking → AI increases fan speed and turns on ventilation.
    Lights adjust based on ambient brightness.

  • Evening:
    AI detects low motion activity + high CO₂ from multiple occupants → Keeps lights ON, increases fan to medium speed.

  • Night:
    No motion detected for 20 minutes → Turns off lights and fan, except essential devices.


Hardware Integration Diagram

Room Setup:

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[Motion Sensor (Door)] [Human Presence Sensor] | | v v [BLE Controller with ESP32] -- [T6713 CO₂ Module] | | | | PWM Relays UART/I²C AI Logic | | | [Fan] [LED / Light / Heavy Load] Mobile App

Benefits of This System

  • Healthy Living: Automatically improves air quality by responding to CO₂ levels.

  • Energy Efficiency: Reduces unnecessary fan, light, and device operation.

  • Scalability: Each room is a self-contained BLE node that can be expanded easily.

  • Low Maintenance: T6713’s ABC Logic reduces the need for sensor recalibration.

  • Real-Time Local Control: BLE ensures immediate response without cloud delays.


Applications

  • Smart homes

  • Offices and meeting rooms

  • Gyms and fitness centers

  • Hotels and guest rooms

  • Classrooms and libraries

 

 

 

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