A digital twin based approach to smart lighting design

TL;DR

This paper presents a digital twin and virtual reality-based method for designing smart lighting in architectural spaces, enabling visualization and assessment of lighting effects before implementation.

Contribution

It introduces a novel digital twin approach combined with neural network similarity measurement for effective smart lighting design in architecture.

Findings

Achieved over 87% similarity between virtual and real space images.

Demonstrated the utility of digital twin in lighting design.

Validated approach through a case study.

Abstract

Lighting has a critical impact on user mood and behavior, especially in architectural settings. Consequently, smart lighting design is a rapidly growing research area. We describe a digital twin-based approach to smart lighting design that uses an immersive virtual reality digital twin equivalent (virtual environment) of the real world, physical architectural space to explore the visual impact of light configurations. The CLIP neural network is used to obtain a similarity measure between a photo of the physical space with the corresponding rendering in the virtual environment. A case study was used to evaluate the proposed design process. The obtained similarity value of over 87% demonstrates the utility of the proposed approach.