Lighting Design Platform With 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 physical samples are used to characterize lighting fixtures, then designers can evaluate product properties, but the process takes days or weeks and produces suboptimal results
Solution Approach 1:
The patent creates digital copies (photographs, videos, 360-degree images, technical specifications) of physical lighting fixtures to replace the need for physical samples. These digital representations capture all essential visual and technical properties, allowing designers to evaluate fixtures remotely and immediately without traveling to sample closets or waiting for physical deliveries.
Solution Approach 2:
The patent replaces the mechanical process of physically handling, transporting, and displaying lighting fixtures with a digital information system. Instead of moving physical objects through space and time, the system transmits digital data about fixtures, eliminating the time and logistical constraints of physical sample evaluation.
2Measurement precision
If designers travel to sample closets to evaluate lighting fixtures, then they can assess product properties, but the process is inefficient and limits access to available products
Solution Approach 1:
The system creates comprehensive digital representations of lighting fixtures including high-resolution photographs from multiple angles, videos showing fixture operation, 360-degree panoramic views, and detailed technical specifications. These digital copies provide all necessary evaluation information without requiring designer travel or physical sample handling.
Solution Approach 2:
The platform serves multiple functions: it acts as a product catalog, evaluation tool, specification database, and design resource all in one system. Designers can access diverse lighting products from multiple manufacturers through a single interface, eliminating the need to visit different sample closets or locations.
3Loss of information
If comprehensive lighting product information is made available online, then designers can access more products, but current online information is limited or inaccurate
Solution Approach 1:
The system transforms lighting product information from minimal online specifications into comprehensive multi-dimensional data sets including visual parameters (photographs, videos, 360-degree images), technical parameters (luminous flux, color temperature, beam angle, efficacy), and operational parameters (control capabilities, dimming ranges, color mixing). This parameter expansion provides both completeness and accuracy.
Solution Approach 2:
The system pre-captures and stores comprehensive fixture information including photographs, videos, and technical specifications before the designer needs to evaluate the product. This preliminary data collection ensures that all necessary information is immediately available when the designer begins their evaluation process, eliminating information gaps.
4Adaptability or versatility
If intelligent lighting features are utilized, then lighting installations can provide enhanced functionality, but most installations do little to take advantage of this intelligence
Solution Approach 1:
The system incorporates feedback mechanisms where designer selections and preferences are tracked and used to improve future recommendations. The platform learns from designer behavior patterns, fixture selection criteria, and project requirements to provide increasingly accurate and personalized lighting solutions, making intelligent features easier to implement through data-driven insights.
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.