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                                               KOLEJ KEMAHIRANTINGGI MARA LEDANG

ENHANCEMENT OF  FAN CONTROL SYSTEM POWERED
  BY  IOT AND DHT11 SENSOR

This project focuses on the development and enhancement of an intelligent, IoTpowered fan control system using the ESP32 microcontroller and DHT11 temperature sensor. The system is engineered to achieve fast and stable temperature-responsive fan operation, ensuring automatic speed adjustments within less than 3 seconds after detecting environmental changes. By integrating Blynk as the IoT platform, the system enables continuous real-time monitoring of temperature data and fan status through a mobile application, providing users with both automation and remote accessibility.

 The fan operates based on a structured temperature–speed algorithm designed to optimize comfort and energy efficiency. When the detected temperature is below 20°C, the fan is automatically switched off to conserve power. Temperature ranges of 25.0°C– 29.9°C, 30.0°C– 34.9°C and 35°C and above activate Speed 1, Speed 2, and Speed 3 respectively. These thresholds allow the system to adapt intelligently to environmental conditions, maintaining consistent airflow based on user needs and ambient temperature. Additionally, an LCD is used to display the instantaneous temperature and corresponding speed level, while speed-dependent LED indicators provide a visual representation of system status for easier monitoring.

 A hybrid control mode is implemented, allowing users to override automatic operation through manual control options available in the Blynk app. This dual-mode functionality increases the flexibility and usability of the system in various real-world scenarios. The project emphasizes stability in sensor also controller communication, ensuring reliable IoT performance, minimal latency, and smooth speed transitions.

 Overall, this enhanced IoT fan system demonstrates a practical and scalable solution for smart home environments. By combining rapid response control, intuitive user interaction, and energy-aware automation, the system contributes to improved comfort, operational efficiency, and modern IoT-based environmental management.