SMART House Kia Graham Tyangelio Gaines Ebony LeBlanc Southern University and A & M College College of Engineering and Computer Science Department of Electrical Engineering 25 May 2015

Problem Statement Home Utilities 1 40% of the world’s power consumption 61-86% of utility power consumption is wasted energy (energy not used to its maximum capacity) The national average utility bill is $95.66 $58.35 of the average bill is not used at its capacity Average consumption of household is 920 kW*hr for each home (approximately 16,832,343 homes in America)

Solution/Objective Solution SMART House System Create a system that will promote convenience of control of utilities Objective Provide Convenience to Home Utilities Will ultimately Limit wasted energy and energy cost Will decrease energy demand in home utilities

Project Plan Project Duration Fabrication of system and simulation resulted in approximately 3 months Cost System cost will be approximately $200 for all components which includes: Additional $120 for Doll House Simulation LED StripsDC Motors Gears WirePower Supplies Motor Drivers Breadboard s Solderin g Iron RFBEEs (6) Arduino UNO VR 2.0Microphon e

Constraints Speech Pronunciation During system testing, design showed capability restriction in verbal variations in tone, volume, and unexpected changes in voice frequency Microphone Reception Distance Constraints within microphone specifications limits the effectiveness of sound reception Microphone reception distance can be calculated as: DR ≈ Volume (1/d2 ) This effective distance can be overcome by simply speaking a little louder to increase the amplitude of the signal Effective Antenna Area Secondary Rfbee can be placed no further than 50 meters away from primary Rfbee due to specification limitations Selection of Current Driving Components The application in which this system is used will determine most efficient component to drive current through the system (i.e. transistors for low voltage applications or solid state relays for medium voltage applications)

Specifications

The system process includes: Voice Command Input Speech Recognition Via VR Speech Software Command Protocol Via Arduino Uno Analog Modulation (Data Transmission) Via RFBEEs Demodulation Via RFBEEs Execution of Command Via Component Dimensions Input system 4 X 4 inches Output system 4 in -10in wiring to motors and lights Safety Dry Room Environment Microcontrollers caged off inside walls

Assumptions Amplifying Circuits Due to constraint of microphone reception distance, the topic of amplifying microphone output was researched and deemed non-effective Parallel Connections The idea of using one single power supply to power all IC chips and microcontrollers was considered. However, not all components would be require equal amount of voltage Digital Compression In order to increase system response time, digital compression was an option visited.

Preliminary Solution Ideas Some of our preliminary solution ideas included: One microphone in central room Each room equipped with its own microphone Wireless connection between microcontroller and output components Hardwire connection between microcontroller and output components

Risk Assessment of the Solution Ideas The Assessment of the preliminary ideas included: One microphone in central room was considered, but was deemed undesired. This option would only limit the ability of the designed system Each room equipped with its own microphone to ensure system controllability would be maximized Wireless connection between microcontroller and output components was selected cut system cost Hardwire connection between microcontroller and output components was avoided to ensure that system serviceability would could be maximized

Preliminary Solution Ideas Connection Hardwire Communication

Preliminary Solution Ideas One microphone in the house

Findings Application Current Drawn Volts DrawnTotal Watts 1 Set of Lights ON.083 A 12V.996W 2 Sets of Lights ON.167 A 12V2.004W 3 Sets of Lights ON.247 A 12V2.964W ALL Lights + Fan ON.487 A 12V5.844W

Expected Results Lower Wasted Energy by providing convenience of access to utilities via speech recognition Quick Response Time of 1 second between the initial command and the execution of the function Low Systems Cost of $200 that has the capacity of saving over $600/year

Significance of Results With voice recognition, the personalized operator will be able to: Maximize controllability of home utilities through integration of microcontrollers. Control utilities such as lights, and motor operated fans with a cost and installation friendly system.

Software and Hardware Application

Software and Hardware continued

SMART House Demonstration ApplicationOn CommandOff CommandRFBEE Number Bedroom LightsGood MorningGood Night1 Den LightsDen ONDen Lights OFF2 Kitchen LightsKitchen ONFinished3 FanFan ONFan OFF4

Reflections Due to budget and time constraints, there are limitations we sought out in our system. However, with an increase in budget and more time for the fabrication process, the system would result in a better quality of components and limitations can be removed to gain maximum system efficiency Microphones The use of insulated microphones would limit distortion and noise to allow a greater microphone distance and be more effective in applications of more than one user Drapes/Blind Motor Application Servo and/or stepper motors are more effective in application in which motor polarity is required

Work Cited 1. energy/average-electric-bills.aspx#axzz3Er9Vp5bD energy/average-electric-bills.aspx#axzz3Er9Vp5bD 2. ble5_a.pdf ble5_a.pdf

Any questions ?