IoT-based Energy Management System for Automated Home Automation

Abstract

Abstract: The invention pertains to an IoT-based energy management system integrated with smart home devices to enable real-time energy monitoring, consumption optimization, and intelligent control over home appliances. The system integrates multiple IoT sensors, actuators, and an adaptive algorithm that learns user habits to dynamically adjust energy usage, thus increasing efficiency and reducing unnecessary energy consumption.

Specification

Description:Background:
With the rise of smart homes, the demand for energy-efficient and environmentally friendly energy management systems has grown. Traditional systems lack adaptability to user behaviors and real-time environmental conditions, resulting in energy wastage. This patent addresses the need for an intelligent system capable of learning and autonomously optimizing energy consumption within a home.
Technical Description:
1. System-Architecture:
The proposed IoT-based energy management system consists of:
o Sensors: Temperature, humidity, motion, light, and energy-consumption sensors distributed throughout the home.
o Controllers: Connected to HVAC, lighting, and appliance circuits for regulating operation.
o Central Processor: A microcontroller or embedded system that communicates with the sensors and controllers.
o Cloud Integration: For data storage, analytics, and AI-based pattern recognition.
2. Communication-Protocols:
The system utilizes Wi-Fi, Zigbee, and Bluetooth for device connectivity, and MQTT for data communication with the central processor.
3. Energy-Management-Algorithm:
An adaptive algorithm processes data from sensors and learns user patterns over time. This algorithm enables the system to automatically control devices based on the user's presence, preferences, and real-time energy costs.
4. User-Interface:
A mobile and web-based application allows users to monitor energy consumption, set preferences, and override automated settings if needed.
5. Safety-Features:
The system includes automated alerts for unusual activity, such as prolonged appliance usage or abnormal energy consumption spikes, to prevent possible electrical hazards.
 
, Claims:Claims:
1. An IoT-based energy management system for automated home automation, comprising various sensors, controllers, and a central processor.
2. A machine-learning algorithm for adapting energy usage based on learned user habits.
3. Real-time data analytics for monitoring and optimizing energy consumption.
4. A user interface for monitoring, controlling, and overriding automation functions.

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