Lighting Design Platform Using Digital Fixture Libraries
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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 a library of lighting objects and objects with advanced control capabilities to provide a desired collective lighting effect.
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 before physical installation, eliminating the need for time-consuming on-site sample evaluations while maintaining accurate visualization of lighting effects.
Solution Approach 2:
The system performs preliminary lighting design and evaluation using digital models and photographs captured before physical installation. By pre-capturing the optical characteristics and illumination patterns of lighting fixtures in a controlled environment, the system allows designers to evaluate and compare multiple options virtually, making informed decisions before committing to physical installation.
2Ease of operation
If designers travel to sample closets to characterize lighting 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 creates a universal digital library that stores standardized photographs and 3D models of lighting fixtures along with their captured illumination patterns. This universal repository can be accessed by any designer anywhere, eliminating the need to travel to physical sample closets. The standardized capture methodology ensures consistent, scientific comparison across all products in the library.
Solution Approach 2:
The system introduces a digital intermediary (the photograph and 3D model library with captured illumination patterns) between the designer and the physical lighting product. This intermediary carries complete information about the product's appearance and optical characteristics, allowing designers to evaluate products remotely with the same accuracy as in-person evaluation, while also gaining access to a broader range of products beyond what is available in local sample closets.
3Adaptability or versatility
If lighting fixtures operate as IoT devices with network connectivity, then they can be controlled remotely and communicate with other devices, but most installations do little to take advantage of this increased intelligence
Solution Approach 1:
The patent performs preliminary capture of the lighting fixture's optical characteristics and illumination patterns during manufacturing or initial setup. By pre-capturing these optical signatures and storing them in the digital library, the system enables intelligent prediction and simulation of lighting effects before the fixture is even installed. This preliminary characterization allows the IoT-connected fixture to automatically provide accurate lighting design information and enable virtual commissioning, fully utilizing its intelligence capabilities from day one.
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.