Lighting Design Platform With Digital Fixture Evaluation
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Solution Overview
Problem
Current lighting design workflows are inefficient due to market fragmentation, lack of accurate product information, and underutilization of intelligent lighting features, leading to suboptimal lighting installations and missed opportunities for enhancing emotional and aesthetic experiences.
Innovation Solution
A platform that integrates automated search engines, near-field illumination characterization, and machine learning to facilitate the design, acquisition, installation, and operation of lighting installations, utilizing intelligent lighting fixtures and providing tools for custom tuning and emotional filtering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical samples are used to evaluate lighting fixtures, then designers can directly observe and compare product properties, but the design process becomes time-consuming and inefficient
Solution Approach 1:
The patent creates digital copies (virtual models) of lighting fixtures that replicate their physical properties including photometric data, spatial distribution, and visual characteristics. These digital twins allow designers to evaluate and compare fixtures remotely without visiting sample closets, maintaining evaluation accuracy while eliminating travel and physical handling time.
Solution Approach 2:
The patent replaces the mechanical system of physical sample evaluation (travel, handling, direct observation) with an automated computational system that uses algorithms to analyze photometric data, generate visualizations, and compare fixture performance. This substitution automates the evaluation process, removing manual intervention while preserving measurement precision.
2Adaptability or versatility
If the lighting market remains fragmented with multiple suppliers, then product diversity and choice are maintained, but information availability and design efficiency deteriorate
Solution Approach 1:
The patent creates a universal platform that can evaluate and compare lighting fixtures from multiple different suppliers and product types within a single system. The platform uses standardized algorithms and data structures that work across diverse fixture types (LED, fluorescent, halogen) and suppliers, enabling comprehensive comparison while maintaining product diversity. This multi-functional approach consolidates information from fragmented sources into a unified evaluation framework.
3Device complexity
If intelligent lighting features are underutilized, then system complexity is reduced, but aesthetic and emotional experience enhancement opportunities are lost
Solution Approach 1:
The patent performs preliminary analysis of intelligent lighting features during the design evaluation phase, before implementation. The system pre-calculates and visualizes how features like circadian rhythm support, scene programming, and adaptive control will perform in the specific installation context. This preliminary action allows designers to make informed decisions about which intelligent features to implement, avoiding unnecessary complexity while capturing enhancement opportunities.
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.