Lighting Design Platform Using Digital Fixture Twins
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Solution Overview
Problem
Current lighting design workflows are inefficient due to a fragmented market with limited and inaccurate information about lighting products, leading to suboptimal results and underutilization of intelligent lighting features, as designers rely on physical samples and unscientific comparisons.
Innovation Solution
A platform with an automated search engine, data structure characterization of near-field illumination patterns, and machine learning algorithms for design, acquisition, installation, and operation of lighting installations, enabling coordinated workflows that leverage the intelligence of lighting fixtures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If designers rely on physical samples and unscientific comparisons, then they can evaluate lighting products, but the process takes days or weeks and produces suboptimal results
Solution Approach 1:
The patent creates digital copies (photographs and data structures) of physical lighting fixtures and their illumination effects. These digital representations capture the optical characteristics, appearance, and performance of fixtures, allowing designers to evaluate multiple products instantly without traveling to physical sample closets. The digital twin approach enables accurate comparison of lighting effects while eliminating the time-consuming physical sample evaluation process.
2Loss of information
If the lighting market remains fragmented with limited information availability, then suppliers can maintain product diversity, but designers cannot access accurate technical information about lighting products
Solution Approach 1:
The patent merges fragmented lighting product information from multiple suppliers into a unified digital platform. By collecting photographs, technical specifications, and illumination data from various fixture types and manufacturers into a centralized database, the system enables designers to access comprehensive product information in one place. This consolidation maintains product diversity while eliminating information gaps caused by market fragmentation.
3Adaptability or versatility
If lighting fixtures operate as intelligent IoT devices, then they can be controlled remotely and communicate with other devices, but most lighting installations do not take advantage of this intelligence due to lack of designer expertise
Solution Approach 1:
The patent enables lighting fixtures to self-describe their capabilities and performance characteristics through standardized data structures and digital twins. The system automatically captures and stores information about fixture intelligence, control protocols, and operational parameters, making this information readily accessible to designers without requiring deep technical expertise. This self-documentation approach demystifies intelligent lighting features and empowers designers to effectively specify and utilize IoT-capable fixtures.
Data Source
AI summary
A platform for design of a lighting installation generally includes an automated search engine for retrieving and storing a plurality of lighting objects in a lighting object library and a lighting design environment providing a visual representation of a lighting space containing lighting space objects and lighting objects. The visual representation is based on properties of the lighting space objects and lighting objects obtained from the lighting object library. A plurality of aesthetic filters is configured to permit a designer in a design environment to adjust parameters of the plurality of lighting objects handled in the design environment to provide a desired collective lighting effect using the plurality of lighting objects.