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Database For
Smart House
박성우
김영민
이승화
정우혁
신동호
- Gathering meaningful big data
Concept Mind map
Database for
Smart Home
According to the
movement route
appliances use patterns
Before and after falling
asleep user’s condition
Indoor environmental
control with the
temperature and humidity
Appliance On/Off User’s Location User’s condition
Indoor
environment
Air condition
On/Off
LED On/Off TV On/Off
<Raspberry Pi>
Desktop On/Off
MySQL
DataBase
Tables.. :
Appliance,
Environment,
User status
Location,
<node.js Server>
<Arduino for sensors>
<Arduino for heart rate, body heat>
Temp, HumidIllumination
<Beacon for Location Data>
H/W Implement
Data format
Header Time
E Measure time Temp Humid Illum1 … … …
U . Heart rate Body heat
A . TV Computer Air condition LED1 … …
L . Living room Dining room Bath room Work room Outside
Ex) Environment data
e/20140707232323/36.5/27.2/40.1/40.1/39.5/0
Ex) Location data
l/20140707232323/living_room/1
Ex) Appliance data
a/20140707232323/TV/1
Arduino
Raspberry Pi
For Sensing
- ADC / Illumination value
- UART / Temperature, Humidity
For Transfer Data to Server
-UART Network
-Socket Network
Data Visualization
58%23%
10%
9%
Location
Work
Room
Living
Room
Dining
Room
Bath
Room
39%
5%28%
28%
Appliance On/Off
Computer
TV
에어컨
LED
25 24 23 23
44.7 43.6 41.2 40.5
1시 2시 3시 4시
Temp / Humid
온도 습도

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Smart home

Notas del editor

  1. 테이블들은 어플라이언스, 인바이런먼트, 유저 스탯, 로케이션 이렇게 4개의 테이블입니다.
  2. 이 데이터 시각화 부분을 전시회에도 응용할 예정 전시회 아이디어 : 해당 부스에 머무른 사람의 수와, 시간, 다른 팀의 가전제품 상태(예를 들면 앱의 실행횟수 등)등을 조사하여 통계치로 내는 것