Lighting Design Platform Using Digital Fixture Libraries
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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 in installations.
Innovation Solution
A platform that utilizes automated search engines, data structures, and machine learning to coordinate a new workflow for lighting design, acquisition, installation, and operation, including a lighting object library, aesthetic filters, and near-field illumination characterization, enabling effective use of intelligent lighting fixtures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If designers use physical samples to evaluate lighting fixtures, then they can directly observe lighting effects, but the process takes days or weeks and produces suboptimal results
Solution Approach 1:
The patent creates digital copies (photographs and 3D models) of physical lighting samples and their illumination effects. These digital representations are stored in a library and can be rapidly retrieved and evaluated without physically transporting or installing actual fixtures, thereby maintaining evaluation accuracy while dramatically reducing design time.
Solution Approach 2:
The system performs preliminary characterization of lighting fixtures by capturing photographs and 3D models of their illumination patterns in advance. This pre-characterization data is stored and can be immediately applied to design scenarios, eliminating the need for time-consuming on-site physical evaluations during the actual design process.
2Loss of information
If designers travel to sample closets to characterize fixtures, then they can evaluate product properties, but the process is inefficient and limits access to diverse lighting products
Solution Approach 1:
The digital library system serves multiple functions: it stores photographs, 3D models, and illumination characteristics of diverse lighting fixtures from various suppliers in one centralized location. Designers can access this universal repository remotely, eliminating the need to physically visit multiple sample closets and enabling evaluation of a broader range of products.
Solution Approach 2:
The system introduces a digital intermediary layer between the physical lighting products and the designer. Instead of directly interacting with physical fixtures in sample closets, designers interact with digital representations that mediate the evaluation process, making product information more accessible and efficient to utilize.
3Adaptability or versatility
If the lighting market remains fragmented with multiple suppliers, then product diversity is maintained, but information about lighting products becomes limited and inaccurate
Solution Approach 1:
The system merges information from multiple fragmented lighting product sources into a unified digital library. By combining photographs, 3D models, and technical specifications from various suppliers into a single standardized format, the system maintains product diversity while improving information completeness and accuracy through centralized curation and consistent data structures.
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.