Conference Editor
Jianshun Zhang; Edward Bogucz; Cliff Davidson; Elizabeth Krietmeyer
Keywords:
Jewellery stores, Lighting quality, Experimental study, XGBoost, Evaluation model
Location
Syracuse, NY
Event Website
http://ibpc2018.org/
Start Date
24-9-2018 3:30 PM
End Date
24-9-2018 5:00 PM
Description
The lighting environment of the shopping malls will greatly influence the customer's visual comfort and product sales. This experiment studied the lighting environment of jewelry stores with the highest lighting energy consumption in shopping malls. The jewelry store scene which was built in the Key Laboratory of Building Environment Simulation had a total of 150 lighting conditions. Then, we measured lighting parameters, and subjective evaluation of lighting quality (including lighting comfort and commodities display effect) with 30 participants were carried out. We analyzed the experimental data to get the influence law of lighting parameters on lighting quality. Finally, this paper introduces an emerging ensemble learning algorithm XGBoost (extreme gradient boosting) to construct evaluation models of multiple lighting parameters for lighting quality in jewelry stores, which were verified to have good accuracy. It is of great significance to save energy on the basis of ensuring the lighting quality of the shopping malls.
Recommended Citation
Dang, Rui; Bu, Yanhui; Wang, Qingchen; and Liu1, Gang, "Lighting Quality Study of Shopping Malls in China Based on the Evaluation Experiment" (2018). International Building Physics Conference 2018. 11.
DOI
https://doi.org/10.14305/ibpc.2018.ie-3.05
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Lighting Quality Study of Shopping Malls in China Based on the Evaluation Experiment
Syracuse, NY
The lighting environment of the shopping malls will greatly influence the customer's visual comfort and product sales. This experiment studied the lighting environment of jewelry stores with the highest lighting energy consumption in shopping malls. The jewelry store scene which was built in the Key Laboratory of Building Environment Simulation had a total of 150 lighting conditions. Then, we measured lighting parameters, and subjective evaluation of lighting quality (including lighting comfort and commodities display effect) with 30 participants were carried out. We analyzed the experimental data to get the influence law of lighting parameters on lighting quality. Finally, this paper introduces an emerging ensemble learning algorithm XGBoost (extreme gradient boosting) to construct evaluation models of multiple lighting parameters for lighting quality in jewelry stores, which were verified to have good accuracy. It is of great significance to save energy on the basis of ensuring the lighting quality of the shopping malls.
https://surface.syr.edu/ibpc/2018/IE3/11
Comments
If you are experiencing accessibility issues with this item, please contact the Accessibility and Inclusion Librarian through lib-accessibility@syr.edu with your name, SU NetID, the SURFACE link, title of record, and author & and reason for request.