Lighting Design Platform With Digital Fixture Models and Aesthetic Filters
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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, 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 adjustable parameters for desired collective lighting effects.
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 (virtual models) of physical lighting fixtures that replicate their optical, electrical, and physical characteristics. These digital twins allow designers to evaluate lighting effects computationally without needing physical samples, dramatically reducing evaluation time while maintaining accuracy through validated simulation engines.
Solution Approach 2:
The system performs preliminary computational evaluations of lighting designs using digital models before any physical installation or sample acquisition. Designers can explore multiple design iterations, compare fixtures, and optimize lighting layouts in advance, eliminating the need for time-consuming physical sample evaluations during the design process.
2Adaptability or versatility
If the lighting market remains fragmented with multiple suppliers, then designers have access to diverse product options, but information about lighting products is unavailable, limited, or inaccurate
Solution Approach 1:
The patent creates a universal platform that aggregates lighting product data from multiple suppliers and manufacturers into a single standardized system. The unified data model accommodates diverse fixture types and specifications while providing consistent, accurate information through centralized product databases and standardized parameter sets.
Solution Approach 2:
The system acts as an intermediary between fragmented lighting suppliers and designers, translating diverse product information into standardized digital formats. The platform mediates the information flow by collecting, validating, and normalizing data from multiple sources, making it accessible and comparable within the design software.
3Adaptability or versatility
If lighting fixtures are made intelligent with IoT connectivity, then they can be controlled remotely and communicate with other devices, but most lighting installations do little to take advantage of this increased intelligence
Solution Approach 1:
The system enables lighting fixtures to self-configure and self-optimize through automated commissioning processes. When fixtures are installed, the software automatically discovers them, configures their parameters, optimizes their performance settings, and integrates them into the control system without requiring manual intervention or specialized knowledge from installers.
Solution Approach 2:
The platform implements automated feedback loops that continuously monitor lighting performance and adjust settings to optimize energy efficiency, comfort, and task lighting requirements. The system learns from usage patterns and environmental conditions, automatically tuning fixture parameters and coordinating between multiple devices to maximize the value of intelligent features.
4Measurement precision
If designers travel to sample closets to characterize lighting fixtures, then they can evaluate products in person, but the process is inefficient and comparisons between products are unscientific
Solution Approach 1:
The patent replaces the mechanical process of physically traveling to sample closets with automated computational systems. Digital models and simulation engines substitute for physical fixture evaluations, allowing designers to perform accurate comparisons and characterizations remotely through computer-based tools rather than physical visits.
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.