Lighting Design Platform With Digital Fixture Library 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 an automated search engine, 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 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 copies (photographs and 3D models) of physical lighting samples and their illumination effects. These digital representations are stored in a library and can be virtually manipulated to predict lighting outcomes without requiring physical sample handling, thus eliminating the time-consuming physical evaluation process while maintaining evaluation accuracy.
Solution Approach 2:
The system performs preliminary characterization of lighting products by capturing their optical properties, color rendering, and illumination patterns in advance and storing them in a database. This preliminary action allows designers to access pre-analyzed data and make informed decisions without needing to conduct time-consuming physical evaluations during the design process.
2Ease of operation
If designers travel to sample closets to characterize fixtures, then they can evaluate products in person, but the process is inefficient and limits access to lighting products
Solution Approach 1:
The patent introduces a digital library as an intermediary between designers and lighting products. Instead of requiring physical travel to sample closets, the system provides digital representations of lighting fixtures and their effects that can be accessed remotely. This intermediary enables designers to evaluate products from any location at any time, dramatically improving accessibility and workflow efficiency.
3Adaptability or versatility
If the lighting market remains fragmented with multiple suppliers, then product variety is maintained, but information about lighting products becomes unavailable, limited, or inaccurate
Solution Approach 1:
The patent creates a universal digital library system that can accommodate and standardize information from multiple different lighting suppliers and product types. The system uses consistent digital representation methods (photographs, 3D models, spectral data) for all products regardless of supplier, enabling comprehensive product variety to be maintained while ensuring information quality and comparability across the entire lighting market.
4Extent of automation
If lighting fixtures are made intelligent with IoT connectivity, then remote control and automation capabilities are enabled, but most installations do not take advantage of these features due to lack of expertise
Solution Approach 1:
The patent incorporates feedback mechanisms that capture occupant responses and usage patterns of intelligent lighting systems. This feedback is used to automatically adjust and optimize lighting parameters, enabling the system to adapt to user preferences without requiring manual configuration or expert intervention. The feedback loop makes intelligent features self-adjusting and easier to utilize.
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.