Karyono, Kanisius and Pal, M. and Abdullah, Badr M. and Cotgrave, Alison J. (2021) EnvironMoores: Efficient NoVel Intelligent Reliable OccupatioN Monitoring for IndOor human-comfORt adaptivE System. In: Doctoral Academy Conference 2019, 08 - 09 May 2019, Liverpool, United Kingdom.
Full text not available from this repository.Abstract
In recent years, due to growing low-cost sensing solutions, the provision of lighting and thermal comfort has been widely increased to existing and future smart buildings to aid productivity, health, and wellbeing. Thermal camera, for example, has the potential to be used widely in the home comfort system nowadays. It was very expensive that only military, firefighters and surveyors were able to use it due to its price. However, the current sensing solutions seriously lack real-time intelligent monitoring and thus adaptively control human comfort supporting systems of smart buildings and most of the existing systems only consider quantitative variables. Therefore, EnvironMoores will develop a novel solution based on the fusion of wireless sensors and thermal imaging to monitor lighting and thermal comfort in real-time. The sensing system will collect both environmental and human-related data. The data will also focus on health/disability condition of occupants. The system will be analyzed for its effectiveness in reducing cost and energy. The focus of EnvironMoores will be on the lightning and thermal comfort aspects.
| Item Type: | Conference or Workshop Item (Poster) |
|---|---|
| Subjects: | 600 Technology (Applied Sciences) |
| Divisions: | Faculty of Engineering & Informatics > Electrical Engineering |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 08 Dec 2021 09:35 |
| Last Modified: | 08 Dec 2021 09:35 |
| URI: | https://kc.umn.ac.id/id/eprint/19400 |
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