Lighting Design Platform Using Digital Fixture Characterization
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Solution Overview
Problem
Current lighting design workflows are flawed due to market fragmentation, lack of accurate product information, and underutilization of intelligent lighting features, leading to suboptimal results and inefficient processes for designers and users.
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 visual representation, pattern matching, and custom tuning profiles.
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 of physical lighting fixtures by capturing near-field illumination patterns and storing them as searchable data structures. These digital representations preserve the optical characteristics of the original fixtures while enabling rapid virtual evaluation, eliminating the need for physical sample handling and transportation.
Solution Approach 2:
The system performs preliminary characterization of lighting fixtures by capturing their near-field illumination patterns and storing them in a searchable library before the design process begins. This advance preparation allows designers to quickly query and evaluate fixtures based on their specific design requirements without time-consuming physical testing.
2Ease of operation
If designers travel to sample closets to characterize fixtures, then they can evaluate products in person, but comparisons between products are unscientific and designers are unaware of better-suited products
Solution Approach 1:
The patent transforms the evaluation process by changing from subjective visual comparison to objective parameter-based querying. Designers can search the fixture library using specific parameters such as illumination pattern, color temperature, and intensity distribution, ensuring scientific and consistent product selection across different fixtures.
Solution Approach 2:
The system introduces a digital intermediary layer between the designer and the lighting fixtures. This intermediary captures and stores the optical characteristics of fixtures in a standardized format, allowing designers to evaluate products remotely with the same accuracy as physical inspection while accessing a broader range of options.
3Adaptability or versatility
If lighting fixtures operate as IoT devices with remote control capabilities, then they can communicate and operate autonomously, but most installations do little to take advantage of this intelligence due to market fragmentation and lack of expertise
Solution Approach 1:
The patent creates a universal platform that works across different lighting fixture types and manufacturers. The near-field characterization system captures fundamental optical properties that are applicable to various IoT-enabled fixtures, providing a common interface for controlling and optimizing intelligent lighting features regardless of the specific device or ecosystem.
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.


