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Air pollution poses significant health risks globally, especially with increasing urbanization and industrialization. The Smart Air Quality Monitoring and Conditioning System (SAQMCS) addresses this challenge by integrating real-time monitoring with active air conditioning to ensure cleaner and healthier indoor environments. Unlike traditional systems that merely report air quality, SAQMCS actively controls it through a combination of sensors and actuators. Key components include the ESP32 microcontroller, MQ-135 air quality sensor, BMP280 pressure sensor, and DHT11 temperature and humidity sensor, all managed via Arduino IDE developed code. The system dynamically adjusts inlet and outlet fans and a humidifier based on sensor data, ensuring optimal air quality and comfort. Data is visualized on an OLED display and transmitted to ThingSpeak for remote monitoring and analysis. The user-friendly design, affordability, and scalability makes SAQMCS accessible for residential and small-scale commercial use. Extensive testing demonstrated its effectiveness and reliability. Future advancements will focus on integrating advanced air purification technologies, enhancing data analytics through machine learning, and improving compatibility with smart home ecosystems, furthering its capabilities in autonomous air quality management.

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Smart Air Quality Monitoring and Conditioning System (SAQMCS)

  • 会议论文

  • 发表日期：

    2025年

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  • Arunya Paul,
  • Sasmita Pahadsingh,
  • Tejaswini Kar

摘要

Air pollution poses significant health risks globally, especially with increasing urbanization and industrialization. The Smart Air Quality Monitoring and Conditioning System (SAQMCS) addresses this challenge by integrating real-time monitoring with active air conditioning to ensure cleaner and healthier indoor environments. Unlike traditional systems that merely report air quality, SAQMCS actively controls it through a combination of sensors and actuators. Key components include the ESP32 microcontroller, MQ-135 air quality sensor, BMP280 pressure sensor, and DHT11 temperature and humidity sensor, all managed via Arduino IDE developed code. The system dynamically adjusts inlet and outlet fans and a humidifier based on sensor data, ensuring optimal air quality and comfort. Data is visualized on an OLED display and transmitted to ThingSpeak for remote monitoring and analysis. The user-friendly design, affordability, and scalability makes SAQMCS accessible for residential and small-scale commercial use. Extensive testing demonstrated its effectiveness and reliability. Future advancements will focus on integrating advanced air purification technologies, enhancing data analytics through machine learning, and improving compatibility with smart home ecosystems, furthering its capabilities in autonomous air quality management.