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๋ฏธ๊ตญ๋Œฟ’ํ•™์›_๊ณผ์ œ_์Šค๋งˆํŠธ IoT ์˜จ๋„๊ณ„ ์• ๋„๋ฆฌํ‹ฑ์Šค, ๋น…๋ฐ์ดํ„ฐ ์ ์šฉ์‚ฌ๋ก€ ์—ฐ๊ตฌ์กฐ์‚ฌ_Columbia Univ_IoT Analytics Case_Smart Thermostats

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์›Œ๋“œ
์ตœ์ดˆ๋“ฑ๋ก์ผ 2020.12.26 ์ตœ์ข…์ ฟ’์ž‘์ผ 2019.02
10P ๋ฏธ๋้ฉ๋ณด๊ธฐ
๋ฏธ๊ตญ๋Œฟ’ํ•™์›_๊ณผ์ œ_์Šค๋งˆํŠธ IoT ์˜จ๋„๊ณ„ ์• ๋„๋ฆฌํ‹ฑ์Šค, ๋น…๋ฐ์ดํ„ฐ ์ ์šฉ์‚ฌ๋ก€ ์—ฐ๊ตฌ์กฐ์‚ฌ_Columbia Univ_IoT Analytics Case_Smart Thermostats
  • ๋ฏธ๋้ฉ๋ณด๊ธฐ

    ์†Œ๊ฐœ

    "๋ฏธ๊ตญ๋Œฟ’ํ•™์›_๊ณผ์ œ_์Šค๋งˆํŠธ IoT ์˜จ๋„๊ณ„ ์• ๋„๋ฆฌํ‹ฑ์Šค, ๋น…๋ฐ์ดํ„ฐ ์ ์šฉ์‚ฌ๋ก€ ์—ฐ๊ตฌ์กฐ์‚ฌ_Columbia Univ_IoT Analytics Case_Smart Thermostats"์— ๋Œ€ํ•œ ๋‚ด์šฉ์ž…๋‹ˆ๋‹ค.

    ๋ชฉ์ฐจ

    1. Overview
    a. The Introduction About the Smart Thermostat
    b. The Objectives of the IoT Solution
    c. Overview about IoT Analytics Requirements

    2. Key Components of the IoT Analytics Design
    a. Sensors
    i. Passive Infrared Motion Sensors
    ii. Temperature Sensors
    iii. Others
    b. Communication Protocols
    c. Cloud
    d. Data
    e. Analytics
    i. Supervised Learning: Time Series Forecasting
    ii. Supervised Learning: Anomaly Detection
    iii. Descriptive Analytics

    3. Key Component of the IoT Application Design
    a. Application Interface
    b. Feedback Loop

    4. References

    ๋ณธ๋ๅฉ๋‚ด์šฉ

    The Introduction about the Smart Thermostat
    Different from the traditional programmable thermostat, which required users to adjust the temperature and shift the mode manually, a smart thermostat is a device equipped with sensors and the internet connections that control a homeโ€™s HVAC system (heating, ventilation, and air-conditioning unit) in an automatic way. Smart thermostat could help users remotely control temperature using smartphones, and importantly, it could be supported by IoT analytics that dynamically integrates and analyzes data collected from sensors, panels and users to achieve further functional objectives to satisfy users.

    The Objectives of the IoT Solution
    By leveraging IoT analytics on the top of smart thermostat, efficiency in terms of energy could be achieved. For example, through collecting data from sensors, users and panels, professionals could apply data analytics to identify the most efficient routine to set up a given homeโ€™s temperature to minimize energy waste.

    ์ฐธ๊ณ ์ž๋ฃŒ

    ยท "News: Microsoft to Push Cloud to Edge." Glaze. N.p., n.d. Web. 17 Dec. 2018.
    ยท Smart thermostat. (2018, December 15). Retrieved from https://en.wikipedia.org/wiki/Smart_thermostat#Sensor
    ยท Aziot HOME. A digital platform to transform living environment. (n.d.). Retrieved from http://www.softengi.com/en/projects/aziot-home-a-digital-platform-to-transform-living-environment/
    ยท How does it look? - Design for IoT Applications. (n.d.). Retrieved from http://www.softengi.com/en/news-blog/how-does-it-look-design-for-iot-applications-4/
    ยท What is hybrid cloud? - Definition from WhatIs.com. (n.d.). Retrieved from https://searchcloudcomputing.techtarget.com/definition/hybrid-cloud
    ยท Folk, Emily. โ€œSmart Thermostats vs. Programmable Thermostats: Which Option Is Right For You?โ€ Www.proudgreenhome.com, 22 Mar. 2018, www.proudgreenhome.com/news/smart-thermostats-vs-programmable-thermostats-which-option-is-right-for-you/.
    ยท Miller,Alexi; Perussi,Matei; Visser, Michael; Rekkas, Alexandra; Aiona, Jessica; Korn, Dave; โ€œWifi Programmable Controllable Thermostat Pilot Program Evaluationโ€,September,2012. Retrieved from http://ma-eeac.org/wordpress/wp-content/uploads/Wi-Fi-Programmable-Controllable-Thermostat-Pilot-Program-Evaluation_Part-of-the-Massachusetts-2011-Residential-Retrofit-Low-Income-Program-Area-Study.pdf
    ยท Meier, Alan; Aragon, Cecilla; โ€œHow People Actually Use Thermostatsโ€, 2010. Retrieved from https://aceee.org/files/proceedings/2010/data/papers/1963.pdf
  • ์ž๋ฃŒํ›„๊ธฐ

    Ai ๋ฆฌ๋ทฐ
    ์งฟ’์‹ํŒ๋งค์ž๊ฐ€ ๋“ฑ๋กํ•œ ์ž๋ฃŒ๋Š” ๋‚ด์šฉ์ด ํ’๋ถ€ํ•˜๊ณ  ๊นŠ์ด ์žˆ๋Š” ๋ถ„์„์ด ๋‹๋ณด์ž…๋‹ˆ๋‹ค. ๊ณผ์ œ์— ๋ฐ”๋กœ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๋‚ด์šฉ์ด ๋งŽ์•„ ๋งค์šฐ ๋งŒ์กฑํ•ฉ๋‹ˆ๋‹ค. ๊ฐ์‚ฌ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
    • ์ž์ฃผ๋ฌป๋Š”์งˆ๋ๅฉ์˜ ๋‹ต๋ณ€์„ ํ™•์ธํ•ด ์ฃผ์„ธ์š”

      ํ•ดํ”ผ์บ ํผ์Šค FAQ ๋”๋ต–๊ธฐ

      ๊ผญ ์•Œ์•„์ฃผ์„ธ์š”

      • ์ž๋ฃŒ์˜ ์ •๋ณด ๋ฐ ๋‚ด์šฉ์˜ ์ง„์‹ค์„ฑ์— ๋Œ€ํ•˜์—ฌ ํ•ดํ”ผ์บ ํผ์Šค๋Š” ๋ณด์ฆํ•˜์ง€ ์•Š์œผ๋ฉฐ, ํ•ด๋‹น ์ •๋ณด ๋ฐ ๊ฒŒ์‹œ๋ฌผ ์ €์ž‘๊ถŒ๊ณผ ๊ธฐํƒ€ ๋ฒ•์  ์ฑ…์ž„์€ ์ž๋ฃŒ ๋“ฑ๋ก์ž์—๊ฒŒ ์žˆ์Šต๋‹ˆ๋‹ค.
        ์ž๋ฃŒ ๋ฐ ๊ฒŒ์‹œ๋ฌผ ๋‚ด์šฉ์˜ ๋ถˆ๋ฒ•์  ์ด์šฉ, ๋ฌด๋‹จ ์ „์žฌโˆ™๋ฐฐํฌ๋Š” ๊ธˆ์ง€๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.
        ์ €์ž‘๊ถŒ์นจํ•ด, ๋ช…์˜ˆํ›ผ์† ๋“ฑ ๋ถ„์Ÿ ์š”์†Œ ๋ฐœ๊ฒฌ ์‹œ ๊ณ ๊ฐ๋น„๋ฐ”์นด์ง€๋…ธ Viva์˜ ์ €์ž‘๊ถŒ์นจํ•ด ์‹ ๊ณ ๋น„๋ฐ”์นด์ง€๋…ธ Viva๋ฅผ ์ด์šฉํ•ด ์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
      • ํ•ดํ”ผ์บ ํผ์Šค๋Š” ๊ตฌ๋งค์ž์™ฟ’ ํŒ๋งค์ž ๋ชจ๋‘๊ฐ€ ๋งŒ์กฑํ•˜๋Š” ์„œ๋น„์Šค๊ฐ€ ๋˜๋„๋ก ๋…ธ๋ ฅํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์•„๋ž˜์˜ 4๊ฐ€์ง€ ์ž๋ฃŒํ™˜๋ถˆ ์กฐ๊ฑด์„ ๊ผญ ํ™•์ธํ•ด์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
        ํŒŒ์ผ์˜ค๋ฅ˜ ์ค‘๋ณต์ž๋ฃŒ ์ €์ž‘๊ถŒ ์—†์Œ ์„ค๋ช…๊ณผ ์‹ค์ œ ๋‚ด์šฉ ๋ถˆ์ผ์น˜
        ํŒŒ์ผ์˜ ๋‹ค์šด๋กœ๋“œ๊ฐ€ ์ œ๋Œ€๋กœ ๋˜์ง€ ์•Š๊ฑฐ๋‚˜ ํŒŒ์ผํ˜•์‹์— ๋งž๋Š” ํ”„๋กœ๊ทธ๋žจ์œผ๋กœ ์ •์ƒ ์ž‘๋™ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ ๋‹ค๋ฅธ ์ž๋ฃŒ์™ฟ’ 70% ์ด์ƒ ๋‚ด์šฉ์ด ์ผ์น˜ํ•˜๋Š” ๊ฒฝ์šฐ (์ค‘๋ณต์ž„์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋Š” ๊ทผ๊ฑฐ ํ•„์š”ํ•จ) ์ธํ„ฐ๋„ท์˜ ๋‹ค๋ฅธ ์‚ฌ์ดํŠธ, ์—ฐ๊ตฌ๊ธฐ๊ด€, ํ•™๊ป“, ์„œ์  ๋“ฑ์˜ ์ž๋ฃŒ๋ฅผ ๋„์šฉํ•œ ๊ฒฝ์šฐ ์ž๋ฃŒ์˜ ์„ค๋ช…๊ณผ ์‹ค์ œ ์ž๋ฃŒ์˜ ๋‚ด์šฉ์ด ์ผ์น˜ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ
    ๋ฌธ์„œ ์ดˆ์•ˆ์„ ์ƒ์„ฑํ•ด์ฃผ๋Š” EasyAI
    ์•ˆ๋…•ํ•˜์„ธ์š”. ํ•ดํ”ผ์บ ํผ์Šค์˜ ๋ฐฉ๋Œ€ํ•œ ์ž๋ฃŒ ์ค‘์—์„œ ์„ ๋ณ„ํ•˜์—ฌ ๋‹น์‹ ๋งŒ์˜ ์ดˆ์•ˆ์„ ๋งŒ๋“ค์–ด์ฃผ๋Š” EasyAI ์ž…๋‹ˆ๋‹ค.
    ์ €๋Š” ์•„๋ž˜์™ฟ’ ๊ฐ™์ด ์ž‘์—…์„ ๋„์™ฟ’๋“œ๋ฆฝ๋‹ˆ๋‹ค.
    - ์ฃผ์ œ๋งŒ ์ž…๋ ฅํ•˜๋ฉด ๋ชฉ์ฐจ๋ถ€ํ„ฐ ๋ณธ๋ๅฉ๋‚ด์šฉ๊นŒ์ง€ ์ž๋™ ์ƒ์„ฑํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
    - ์žฅ๋ฌธ์˜ ์ฝ˜ํ…์ธ ๋ฅผ ์‰ฝ๊ณ  ๋น ๋ฅด๊ฒŒ ์ž‘์„ฑํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
    - ์Šคํ† ์–ด์—์„œ ๋ฌด๋ฃŒ ์บ์‹œ๋ฅผ ๊ณ„์ •๋ณ„๋กœ 1ํšŒ ๋ฐœ๊ธ‰ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ง€๊ธˆ ๋ฐ”๋กœ ์ฒดํ—˜ํ•ด ๋ณด์„ธ์š”!
    ์ด๋Ÿฐ ์ฃผ์ œ๋“ค์„ ์ž…๋ ฅํ•ด ๋ณด์„ธ์š”.
    - ์œ ์•„์—๊ฒŒ ์ ํ•ฉํ•œ ๋ฌธํ•™์ž‘ํ’ˆ์˜ ๊ธฐ์ค€๊ณผ ํŠน์„ฑ
    - ํ•œ๊ตญ์ธ์˜ ๊ฐ€์น˜๊ด€ ์ค‘์—์„œ ์ •์‹ ์  ๊ฐ€์น˜๊ด€์„ ์ด๋ฃจ๋Š” ๊ฒƒ๋“ค์„ ๋ฌธํ™”์  ๋ฌธ๋ฒ•์œผ๋กœ ์ •๋ฆฌํ•˜๊ณ , ํ˜„๋Œ€ํ•œ๊ตญ์‚ฌํšŒ์—์„œ ์ผ์–ด๋‚˜๋Š” ์‚ฌ๊ฑด๊ณผ ์‚ฌ๊ณ ๋ฅผ ๋น„๊ตํ•˜์—ฌ ์ž์‹ ์˜ ์˜๊ฒฌ์œผ๋กœ ๊ธฐ์ˆ ํ•˜์„ธ์š”
    - ์ž‘๋ณ„์ธ์‚ฌ ๋…ํ›„๊ฐ
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