Optimizing Ambiance: Intelligent RGB Lighting Control in Structures Using Fuzzy Logic
| dc.contributor.author | Alvarez Garcia, Gonzalo Alberto | |
| dc.contributor.author | Zúñiga Cañón, Claudia Liliana | |
| dc.contributor.author | Garcia Sanchez, Antonio Javier | |
| dc.contributor.author | Garcia Haro, Joan | |
| dc.contributor.author | Asorey Cacheda, Rafael | |
| dc.date.accessioned | 2025-07-08T21:04:05Z | |
| dc.date.available | 2025-07-08T21:04:05Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Managing red–green–blue (RGB) lighting conditions within structures may evoke emotions and positively influence behavior. Intelligent RGB lighting systems based on environmental data measurements can substantially enhance the perception of comfort. This study presents a challenge that requires a holistic and integrated approach to implement an automatic RGB artificial lighting control system that can be utilized in various structures and indoor environments. Initially, the challenge spans the identification of environmental variables directly impacting comfort up to the careful selection of suitable sensors. The result is the development of a sophisticated and autonomous system that can adjust RGB lighting in real time, creating environments that are both comfortable and energy-efficient. This automated system fosters the creation of appropriate atmospheres across different contexts. The identification and monitoring of environmental variables are achieved through a neuro-fuzzy control mechanism, where fuzzy rules and membership functions are defined based on late positive potential timings and the influence of artificial lighting on human emotions. The outcomes from this study are an interconnected system capable of performing both online and offline operations to enable the monitoring of environmental variables and the efficient management of artificial lighting based on these metrics. A pilot study, with reference to an EEG wave registry system, yielded significant results. These tests had a statistically relevant result with an average frequency of approximately 9.8 Hz, indicative of a state of comfort among people. Despite a 10% deviation margin, 87% of measurements during the test remained consistent. This research study contributes to human behavior by fostering a relaxing environment and enabling a reduction in energy consumption through the use of efficient lighting. Moreover, the environment intention enables the creation of stimuli in three emotional states: activation, relaxation, and neutral, allowing behavioral adaptation to an intention to occur automatically in fluctuating environmental conditions. | |
| dc.identifier.citation | Alvarez-Garcia, G.-A., Zúñiga-Cañón, C.-L., Garcia-Sanchez, A.-J., Garcia-Haro, J., & Asorey-Cacheda, R. (2024). Optimizing Ambiance: Intelligent RGB Lighting Control in Structures Using Fuzzy Logic. Applied Sciences, 14(10), 4156. https://doi.org/10.3390/app14104156 | |
| dc.identifier.issn | 20763417 | |
| dc.identifier.uri | https://repositorio.usc.edu.co/handle/20.500.12421/7285 | |
| dc.language.iso | en | |
| dc.publisher | MDPI | |
| dc.subject | artificial lighting | |
| dc.subject | control | |
| dc.subject | instrumentation | |
| dc.subject | sensor | |
| dc.subject | wireless sensors | |
| dc.title | Optimizing Ambiance: Intelligent RGB Lighting Control in Structures Using Fuzzy Logic | |
| dc.type | Article |