An Intelligent Lighting System Saving Power Consumption by Estimating Illuminance Sensor Positions
スポンサーリンク
概要
- 論文の詳細を見る
We are doing researching and development of an intelligent lighting system to provide desired brightness to a desire place. To realize individual lighting environments, this system needs the influence level of each lighting and each illuminance sensor. Also, by measuring the influence level that dynamically, this system can cope with dynamic illuminance sensor relocations (user relocations). If this system don't consider illuminance sensor relocations, this system can turn off lightings of little influence. Therefore, this system leads to energy saving. However, it is impossible to be successful at both illuminance sensor relocations and turning off lightings (improvement of energy efficiency). To solve this problem, this paper proposes a new lighting control algorithm which estimates illuminance sensor positions based on distances from turned-on lightings. It will enable the lighting system to learn the change in user or desk positions, and turn off those lightings which affect users very slightly. we conducted an experiment to simulate a real office. As a result, we indicate that the algorithm can realize the illuminance level desired by users while further saving energy consumption.
- 2012-07-09
著者
-
Takuro Yoshii
Doshisha University
-
Mitsunori Miki
Department of Science and Engineering, Doshisha University
-
Mitsunori Miki
Department Of Science And Engineering Doshisha University
-
Kazuki Matsutani
Graduate School Of Engineering Doshisha University
-
Keiko Ono
Department Of Electoronics And Informatics Ryukoku University
-
Yohei Azuma
Graduate School Of Engineering Doshisha University
-
Takuro Yoshii
Graduate School of Engineering, Doshisha University
-
Takuro Yoshii
Graduate School Of Engineering Doshisha University
関連論文
- A Framework for Genetic Algorithms in Parallel Environments
- Distributed PACS using Network Shared File System
- An Intelligent Lighting System to Realize Individual Lighting Environments Based on Estimated Daylight Distribution
- GAROP: Genetic Algorithm framework for Running On Parallel environments
- An Intelligent Lighting System Saving Power Consumption by Estimating Illuminance Sensor Positions