INTELLIGENT LIVING SPACE CONTROL USING AI AND WIRELESS SENSORS

Abstract

The rapid advancement of technology has transformed the concept of home management into a more intelligent and efficient system. This project presents an Al-based smart home automation system that leverages Wireless Sensor Networks (WSN) and Bluetooth technology to enhance the convenience and efficiency of home management. By integrating various sensors and devices, the proposed system facilitates intelligent control of household appliances, such as fans and lights, creating a seamless and user-friendly environment for homeowners. At the core of this system is an intuitive Android application that provides users with a convenient interface for interacting with their smart home setup. The application enables remote operation and monitoring of appliances, allowing users to manage their home environment from anywhere at any time. This feature significantly enhances user convenience, as it eliminates the need for manual control and provides real-time updates on the status of various devices. To facilitate the control of connected appliances, the system employs L293D driver modules, which are essential for seamless operation of DC motors in devices such as fans and lights. These driver modules ensure efficient, communication between the microcontroller and the appliances, allowing for precise control over their operation. The integration of these modules enables users to automate their home management tasks effectively.

Specification

FILED OF INNOVATION
This invention relates to the field of Internet of Things (IoT) and Home Automation.
HISTORY OF THE INVENTION
In the year 1984, The term "smart home" was coined by the American Association of House Builders, as interest grew in applying digital control technology to home systems. Then in the year 1980 X10, an early communication protocol for home automation, was developed to allow electronic devices to communicate over power lines. XIO-enabled devices were among the first commercially available products for home automation, allowing users to control lights, alarms, and appliances. Laterin the year 2000 The advent of the Internet sparked more interest in connecting home devices remotely. Automation systems such as C-Bus and LonWorks provided more advanced and reliable means of home control, although systems were still expensive and limited to high-end homes.In the year 2010 Smart home technology became mainstream with the release of user-friendly devices like the Nesi Thermostat, which introduced Al-based learning to manage home temperature. Companies like Apple, Google, and Amazon expanded smart home compatibility and ease of integration, allowing devices to communicate seamlessly in smart ecosystems in the year 2011. In the year 2014, Amazon released the Echo with Alexa, a voice-activated assistant that could control smart home devices. This opened the door for similar systems like Google Home, creating smart ecosystems controlled through voice, apps, and automated routines. Smart homes are increasingly Al-driven, with systems that learn user preferences, predict needs, and provide integrated automation across various home systems (security, lighting, energy, entertainment, etc.). Al now plays a central role in making homes more responsive and energyefficient. With the rise of IoT and 5G has made it possible to connect even more devices with low latency, creating highly responsive and connected environments.
BJECTIVE OF THE WORK
□ To design an energy-efficient Switched Reluctance Motor (SRM) utilizing advanced simulation capabilities offered by ANSYS software. Iterative design adjustments to rotor and stator configurations to achieve the best performance metrics.
□ Comprehensive simulations to evaluate the motor's magnetic field distribution and torque characteristics under various operating conditions
□ Assessment of thermal behavior through heat dissipation analysis, ensuring reliable operation and longevity of the motor.
□ : Comparison of simulation results with experimental data to validate the design's efficiency and
□ Integrating all these elements, to produce a high-performance SRM that meets the growing demands for energy efficiency while addressing the challenges faced by traditional motor designs. This innovative approach is expected to lead to significant advancements in motor technology
DESCRIPTION OF THE DRAWING
The drawing consists following modules, ESP8266-like hardware IO, Nodejs style network API, mobile application, motor and Bluetooth module.
DETAILED DESCRIPTION OF THE PRODUCT
Nodemeu is an open source IoT platform. It includes firmware which runs on the ESP8266 WiFi SoC from Espressif Systems, and hardware, which is based on the ESP-12 module. The term "Nodemeu" by default refers to the firmware rather than the dev kits. The firmware uses the Lua scripting language. It is based on the eLua project and built on the Espressif Non-OS SDK for ESP8266. It uses many open source projects, such as Lua-cjson and spiffs. LUA based interactive firmware for Expressif ESP8622 Wi- Fi SoC, as well as an open source hardware board that contrary to the $3 ESP8266 Wi-Fi modules includes a CP2102 TTL to USB chip for programming and debugging, is breadboard-friendly, and can
and manipulating hardware. Code like ESP8266, but interactively in Lua script. The Development Kit based on ESP8266, integrated GPIO, PWM, IIC, 1-Wire and ADC all in one board. Power your development in the fastest way combining with NodeMcu Firmware. The ESP8266 chip requires 3.3V power supply voltage. It should not be powered with 5 volts like otherESP8266 boards. * NodeMCU ESP-12E dev board can be connected to 5Vusing micro USB connector or Vin pin available onboard. * The I/O pins of ESP8266 communicate or input/output max 3.3V only. i.e. the pins are NOT 5V tolerant inputs.
BLUETOOTH MODULE
HC 06 is the Bluetooth module used for this functionality A frequency hop scheme allows devices to communicate even in areas with a great deal of electromagnetic interference. Built-in encryption and verification is provided. The module works on Bluetooth 2.0 communication protocol and it can only act as a slave device. The device works on the frequency range from 2.402 GHz to 2.480GHz. The communication with this HC-06 module is done through UART interface. The data is sent to the module or received from the module though this interface. So we can connect the module to any microcontroller or directly to PC which has R.S232 port (UART interface).
L293D
L293D is a typical Motor driver or Motor Driver IC which allows DC motor to drive on either direction. L293D is a 16-pin IC which can control a set of two DC motors simultaneously in any direction. It
■means that you can control two DC motor with a single L293D IC. Dual H-bridge Motor Driver integrated circuit (IC). In a single L293D chip there are two h-Bridge circuit inside the IC which can rotate two de motor independently. Due its size it is very much used in robotic application for controlling DC motors. Given below is the pin diagram of a L293D motor controller. There are two Enable pins on 1293d. Pin 1 and pin 9, for being able to drive the motor, the pin 1 and 9 need to be high. For driving the motor with left H-bridge you need to enable pin 1 to high. And for right H-Bridge you need to make the pin 9 to high. If anyone of the either pinl or pin9 goes low, then the motor in the corresponding section will suspend working. It's like a switch.
ESP8266 SOFTWARE (IDE):
The ESP8266 Integrated Development Environment or ESP8266 Software (IDE) contains a text editor for writing code, a message area, a text console, a toolbar with buttons for common functions and a series of menus. It connects to the ESP8266 and Genuine hardware to upload programs and communicate with them. The ESP8266 Software (IDE) uses the concept of a sketchbook: a standard place to store your
or from the Open button on the toolbar. The first time you run the ESP8266 software, it will automatically create a directoryfor your sketchbook. You can view or change the location of the sketchbook location from with the Preferences dialog. Beginning with version 1.0, files are saved with a .ino file extension. Previous versions use the .pde extension. You may still open .pde named files in version 1.0 and later, the software will automatically rename the extension to .ino
WE CLAIM
The Al-based smart home automation system utilizing Wireless Sensor Networks and Bluetooth technology represents a significant advancement in home management. By integrating various components such as sensors, microcontrollers, and machine learning algorithms, the system enhances user convenience, energy efficiency, and overall comfort. The intuitive Android application allows for seamless remote control of appliances, while the use of machine learning enables the system to adapt to individual preferences and optimize energy consumption.
1. The smart home automation system is built using Arduino microcontrollers to interface with various sensors and actuators, forming a Wireless Sensor Network (WSN).
2. Bluetooth modules enable communication between the Arduino boards and an Android application is used as interface for remote monitoring and control.
3. L293D driver module is employed to control the operation of DC motors in fans and lights.

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