Monitoring System for Optimized Power Management with Indoor Sensor (실내 전력관리 시스템을 위한 환경데이터 인터페이스 설계)

Do Hyeun Kim (김도현); LEE KYU TAE (이규대)

Monitoring System for Optimized Power Management with Indoor Sensor

Journal of Software Assessment and Valuation
Abbr : JSAV
2020, 16(2), pp.127-133
Publisher : Korea Software Assessment and Valuation Society
Research Area : Engineering > Computer Science
Received : December 10, 2020
Accepted : December 21, 2020
Published : December 31, 2020

Do Hyeun Kim ¹, LEE KYU TAE ²

¹제주대학교
²공주대학교

Candidate

ABSTRACT

As the usages of artificial intelligence is increased, the demand to algorithms for small portable devices increases. Also as the embedded system becomes high-performance, it is possible to implement algorithms for high-speed computation and machine learning as well as operating systems. As the machine learning algorithms process repetitive calculations, it depend on the cloud environment by network connection. For an stand alone system, low power consumption and fast execution by optimized algorithm are required. In this study, for the purpose of smart control, an energy measurement sensor is connected to an embedded system, and a real-time monitoring system is implemented to store measurement information as a database. Continuously measured and stored data is applied to a learning algorithm, which can be utilized for optimal power control, and a system interfacing various sensors required for energy measurement was constructed.

KEYWORDS

embedded system, power control, machine learning, database, sensor interface

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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