Karyono, Kanisius and Abdullah, Badr M. and Cotgrave, Alison J. and Bras, Ana Armada (2020) A Smart Adaptive Lighting System for a Multifunctional Room. In: 12th International Conference on Developments in eSystems Engineering, 7-10 Oct. 2019, Kazan, Russia.
Full text not available from this repository.Abstract
Young professionals and millennials who live alone or are living in small groups and seek practicality, trigger the trend of smaller, modular and micro houses and apartments which are faster and cheaper to build. Multifunctional or flexible room is one of the important parts of the home. This particular room needs well-designed lighting for comfort. It should give an adequate illuminance for every activity and even pattern of light. This paper presents the factors for developing the smart adaptive lighting system which can provide lighting comfort for the occupants. The simulation is being done in 5 scenarios in the LJMU BRE 2010 house model using DIALux Software with the dimmable type of LED independent luminaire. The proposed system structure uses a wireless sensor network (WSN) and big data processing as the main components. The design employs an Artificial Intelligence (AI) sub-system which has the capability to predict and adaptively regulate the illumination level based on the occupant needs or routine. The simulation shows that this system is able to give even lighting pattern for luminance values 200, 250, 300, 500, and 750 lux which are needed by the occupants. With the possibility of user-defined lighting values, this system can be developed to accommodate the needs of special groups of occupants such as the elder or disabled groups.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keywords: | multifunctional room , flexible room , lighting comfort , adaptive methods , sensor network |
| Subjects: | 500 Science and Mathematic > 530 Physics > 537 Electricity and Electronics 600 Technology (Applied Sciences) |
| Divisions: | Faculty of Engineering & Informatics > Electrical Engineering |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 08 Dec 2021 09:00 |
| Last Modified: | 08 Feb 2022 03:21 |
| URI: | https://kc.umn.ac.id/id/eprint/19397 |
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