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Innovative Automatic Fan Control with User Customization Features
Author Name

Saranitha M, Santhurika K, Roseni S, Karthiga R

Abstract

The energy management system designed to optimize the usage of fans and lights in institutional and commercial buildings. Excessive energy consumption remains a major concern, primarily due to inefficient control mechanisms where appliances remain switched on even when not required. This invention addresses such inefficiencies by integrating microcontrollers, environmental sensors, and IoT technology to enable automated and user-customizable control. The system continuously monitors temperature, light intensity, and occupancy to determine the optimal operation of fans and lights, ensuring that energy is used only when necessary. A microcontroller processes sensor data and executes real-time control logic, eliminating the need for manual intervention. Additionally, the system includes a user customization interface, allowing facility managers or security personnel to define operational schedules, set temperature thresholds, and adjust lighting conditions as per specific requirements. The incorporation of IoT technology further enhances system functionality, enabling remote access and control via a cloud-based platform or mobile application. This feature provides real-time monitoring and customization, ensuring operational efficiency and flexibility. By reducing unnecessary energy consumption, the system lowers electricity costs, extends appliance lifespan, and contributes to sustainability efforts by minimizing the overall carbon footprint. The invention is particularly beneficial for educational institutions, corporate offices, and commercial buildings, where large-scale energy management is crucial. Overall, this smart automation system enhances energy efficiency, reduces dependency on manual operation, and promotes eco-friendly energy practices, making it a cost-effective and scalable solution for modern building management.

 

Keywords: Smart Energy Management, IoT-Based Automation, Sensor-Based Control, Fan and Light Optimization, Energy Efficiency, Remote Monitoring, User Customization, Institutional Energy Saving, Adaptive Control System, Sustainable Energy Solutions.



Published On :
2025-03-17

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