Lighting Design Platform for Accurate Fixture Selection and IoT Control
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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 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 processes, then they can assess lighting fixture properties, but the design process becomes time-consuming and inefficient
Solution Approach 1:
The system creates digital copies (virtual models) of physical lighting fixtures that contain comprehensive technical specifications, photometric data, and rendering capabilities. These digital twins replace physical samples, allowing designers to evaluate lighting properties virtually without traveling to sample closets or waiting for physical deliveries.
Solution Approach 2:
The patent replaces manual physical evaluation processes with automated computational systems. Machine learning algorithms automatically analyze lighting fixture data, generate photometric simulations, and provide design recommendations, substituting the mechanical process of physically handling and comparing samples with automated digital analysis.
2Adaptability or versatility
If the lighting market remains fragmented with multiple suppliers, then product variety is maintained, but information availability and accuracy deteriorate
Solution Approach 1:
The system creates a universal platform that aggregates lighting fixture data from multiple suppliers and manufacturers into a single standardized database. This multi-functional system serves both to maintain product variety from diverse sources and to provide consistent, accurate information through unified data standards and comprehensive product specifications.
Solution Approach 2:
The patent combines fragmented information from multiple lighting suppliers into a centralized digital repository. By merging data from various sources into a unified system with standardized schemas, the platform maintains the diversity of product offerings while eliminating information gaps and inconsistencies that arise from market fragmentation.
3Adaptability or versatility
If lighting fixtures are made intelligent with IoT connectivity, then functional capabilities are enhanced, but system complexity and difficulty of operation increase
Solution Approach 1:
The system enables lighting fixtures to automatically report their status, performance metrics, and operational data to the platform without requiring manual intervention. The intelligent fixtures self-configure and self-diagnose, reducing the operational burden on users while maintaining enhanced functional capabilities through automated monitoring and control.
Solution Approach 2:
The patent introduces a centralized platform as an intermediary between intelligent lighting fixtures and end users. This mediator layer simplifies complex IoT operations by providing unified control interfaces, automated scheduling, and centralized monitoring, allowing users to manage sophisticated lighting systems without directly dealing with the underlying technical complexity.
4Adaptability or versatility
If designers lack expertise in intelligent lighting features, then intelligent fixture capabilities are not utilized, but the design process becomes more challenging
Solution Approach 1:
The system incorporates machine learning algorithms that analyze designer preferences, project requirements, and performance data to provide intelligent recommendations. The platform learns from usage patterns and automatically suggests optimal lighting configurations, enabling designers to leverage intelligent fixture capabilities without requiring deep expertise through adaptive feedback mechanisms.
Solution Approach 2:
The patent performs preliminary analysis and configuration of intelligent lighting systems before the designer begins the actual design process. The system pre-evaluates fixture options, pre-configures control parameters, and pre-generates simulations based on project specifications, reducing the complexity of working with intelligent lighting during the active design phase.
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.