Lighting Design Platform With Digital Fixture Models and Aesthetic Filters
Find Innovative SolutionsGenerate Solutions
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 uses automated search engines, machine learning, and near-field illumination characterization 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 and manual evaluation methods, then they can assess lighting products, but the process takes days or weeks and produces suboptimal results
Solution Approach 1:
The patent creates digital twins of physical lighting fixtures that replicate their optical, electrical, and control characteristics. These digital models enable virtual evaluation and comparison of lighting products without requiring physical samples, dramatically reducing design time while maintaining or improving evaluation accuracy through consistent measurement protocols.
Solution Approach 2:
The patent replaces manual physical evaluation with automated computational analysis. Software algorithms process lighting data, simulate performance in various environments, and provide objective comparisons, eliminating the subjectivity and time-consuming nature of manual assessment while improving measurement precision.
2Adaptability or versatility
If the lighting market remains fragmented with multiple suppliers, then product variety is available, but information about lighting products is unavailable, limited, or inaccurate
Solution Approach 1:
The patent creates a universal data framework that standardizes information representation across different lighting suppliers and product types. This framework enables consistent exchange and comparison of lighting product data throughout the supply chain, making information readily available and accurate while preserving product variety from multiple vendors.
Solution Approach 2:
The patent introduces a centralized platform that acts as an intermediary between suppliers, designers, and installers. This platform aggregates, validates, and standardizes lighting product information from multiple sources, making comprehensive and accurate data available to all stakeholders without requiring direct access to each supplier's proprietary systems.
3Extent of automation
If lighting fixtures are made intelligent with IoT capabilities, then remote control and automation are enabled, but most installations do little to take advantage of this increased intelligence due to lack of expertise
Solution Approach 1:
The patent enables lighting systems to automatically optimize their performance based on pre-configured parameters and environmental sensors. The system self-adjusts lighting levels, schedules, and control strategies without requiring continuous manual intervention or expert knowledge, making intelligent lighting accessible to users regardless of their technical expertise.
Solution Approach 2:
The patent provides standardized parameter sets and control profiles that simplify the configuration of intelligent lighting systems. By offering pre-defined performance parameters and automated tuning capabilities, the system enables easy deployment of sophisticated lighting solutions without requiring deep technical expertise from designers or installers.
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.