Lighting Design Platform Using Digital Twins and Aesthetic Filters
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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 assess actual lighting effects, but the design process becomes time-consuming and inefficient
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 handling physical samples, maintaining evaluation accuracy while eliminating the time required for physical sample manipulation and transportation.
Solution Approach 2:
The system performs preliminary computational rendering and simulation of lighting effects before physical installation. By calculating and visualizing how light will interact with surfaces and objects in advance, designers can make informed decisions without waiting for physical installation and assessment, significantly reducing the design cycle time.
2Adaptability or versatility
If the lighting market remains fragmented with multiple suppliers, then product diversity is maintained, but information availability and design efficiency deteriorate
Solution Approach 1:
The patent creates a universal platform that can import, store, and render lighting fixtures from multiple different suppliers and manufacturers. The system uses standardized data structures and rendering engines that work across different product lines and manufacturers, allowing designers to access diverse lighting options from various suppliers within a single integrated environment, thereby maintaining product diversity while improving information accessibility.
3Adaptability or versatility
If intelligent lighting features are added to fixtures, then functional capabilities are enhanced, but system complexity and difficulty of operation increase
Solution Approach 1:
The system automatically extracts control parameters, sensor data requirements, and operational characteristics from lighting fixture specifications without requiring manual configuration. The digital twin automatically understands how to interface with the intelligent features of the fixture, reducing the operational burden on designers and eliminating the need for complex manual setup of intelligent lighting functions.
4Productivity
If comprehensive lighting design software is used, then design capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent combines multiple previously separate functions into a unified platform: product research and selection, 3D modeling, rendering, and specification generation are integrated into a single system. By merging these functions, the platform achieves comprehensive design capability while reducing overall system complexity compared to using multiple separate tools, as the integrated system eliminates data transfer and formatting requirements between different software applications.
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.