Lighting Design Platform Using Virtual Fixture Characterization
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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 results and ineffective use of intelligent lighting installations.
Innovation Solution
A platform that utilizes automated search engines, near-field illumination characterization, and machine learning to facilitate the design, acquisition, installation, and operation of lighting installations, enabling coordination of intelligent lighting fixtures and providing a visual representation of lighting spaces with aesthetic filters and custom tuning profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If designers use physical samples to evaluate lighting products, 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 replicas of physical lighting samples through near-field illumination characterization. The system captures multi-dimensional luminance data from physical samples and generates virtual light source models that replicate their optical properties. These digital copies can be evaluated instantly in the design software without requiring physical sample handling, thus maintaining measurement precision while eliminating time loss.
Solution Approach 2:
The system performs preliminary characterization of lighting products by capturing their near-field illumination patterns and storing them as virtual models in a library. This preliminary action allows designers to access and evaluate lighting effects instantly during the design process without needing to physically handle samples, thereby reducing evaluation time while maintaining accuracy.
2Adaptability or versatility
If the lighting market remains fragmented with thousands of fixtures from many suppliers, then product variety is high, but information about lighting products is unavailable, limited, or inaccurate
Solution Approach 1:
The patent creates a universal platform that can characterize and store information from diverse lighting products from any supplier. The system uses standardized near-field illumination characterization methods that work across different fixture types and manufacturers, creating a unified digital library that preserves product variety while making information universally accessible and accurate.
Solution Approach 2:
The system introduces a digital intermediary layer between physical lighting products and designers. Instead of designers directly interacting with physical samples or relying on incomplete supplier information, the system captures and stores accurate optical characteristics in a standardized format, serving as a reliable information intermediary that bridges the fragmented market and design tools.
3Adaptability or versatility
If lighting fixtures are configured to operate as part of the Internet of Things with remote control and communication capabilities, then intelligence is increased, but most lighting installations do little to take advantage of this increased intelligence due to market fragmentation and lack of designer expertise
Solution Approach 1:
The system performs preliminary configuration and characterization of intelligent lighting fixtures during the design phase. Designers can evaluate intelligent features, control scenarios, and operational modes virtually before installation, reducing the complexity of operation during actual use. The system pre-configures communication protocols and control parameters, making intelligent features easier to utilize.
4Measurement precision
If designers travel to sample closets to characterize lighting fixtures in person, then they can evaluate product properties directly, but the process takes days or weeks for large installations
Solution Approach 1:
The system creates digital copies of physical lighting fixtures through near-field illumination characterization. Instead of designers traveling to sample closets, they can access virtual replicas of fixtures in their design software, maintaining characterization accuracy while dramatically improving workflow efficiency by eliminating travel and physical handling time.
Solution Approach 2:
The patent replaces the mechanical process of physically transporting and handling lighting samples with a digital system. Near-field illumination data captures the optical properties of fixtures, and these digital representations can be manipulated and evaluated virtually, substituting physical mechanics with computational processes to improve productivity.
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.