Circadian Lighting Data Capture Machine
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Solution Overview
Problem
Current indoor lighting levels are consistently low, negatively impacting individuals' circadian cycles, and lighting designers lack effective methods to account for the spectral shift of light sources when reflected by surfaces with unique spectral characteristics.
Innovation Solution
A computer-implemented method and device for detecting and simulating lighting conditions within a physical space, using a data capture machine equipped with sensors to collect lighting measurements, generate electronic files indicating light sources and their circadian contributions, and enable users to visualize and modify lighting plans in virtual reality or augmented reality formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional lighting measurement methods are used, then the process is simple, but the measurement precision and comprehensiveness of lighting conditions is insufficient
Solution Approach 1:
The patent combines multiple measurement functions (illuminance, spectral power distribution, circadian stimulus calculation) into a single integrated data capture machine, allowing comprehensive lighting assessment without requiring multiple separate devices
Solution Approach 2:
The system uses a processor as an intermediary to collect raw lighting data from sensors, calculate circadian stimulus metrics, and generate visual representations, bridging the gap between simple measurement and complex analysis
2Measurement precision
If detailed spectral power distribution measurements are collected, then the accuracy of circadian stimulus assessment is improved, but the data processing complexity increases
Solution Approach 1:
The system performs preliminary calculations of circadian stimulus metrics directly from spectral power distribution data during the measurement phase, preparing processed results in advance to reduce subsequent analysis complexity
Solution Approach 2:
The system provides visual feedback through heat maps and graphical representations that show circadian stimulus levels, allowing users to quickly assess lighting conditions and make adjustments based on clear, interpretable data
3Ease of operation
If virtual simulation and visualization tools are implemented, then the ease of operation and design modification is improved, but the device complexity increases
Solution Approach 1:
The system creates virtual copies of physical lighting conditions through heat maps and graphical representations, allowing designers to simulate and evaluate different lighting scenarios without physically changing the installed fixtures
Solution Approach 2:
The patent adds a visual dimension to lighting assessment by generating heat maps and graphical representations that display circadian stimulus data spatially, transforming abstract numerical data into intuitive visual information
4Reliability
If comprehensive lighting data is collected and analyzed, then the reliability of circadian rhythm assessment is improved, but the loss of time for data collection and processing increases
Solution Approach 1:
The system enables continuous lighting measurement and real-time calculation of circadian stimulus metrics, allowing ongoing assessment without interruption to maintain reliable data collection over the necessary time periods
Data Source
AI summary
Systems and methods for collecting and analyzing lighting conditions associated with a physical space in order to effect circadian-effective design. According to certain aspects, a data capture machine may include various sensors and components, such as at least one image sensor that captures digital images of a set of luminaires, at least one laser that detects physical objects as well as the location of the data capture machine in the physical space, a detector that collects a set of spectral power distribution (SPD) measurements, and a video capture device that collects images at a set of locations of the physical space. The data capture machine may aggregate the captured information and generate an electronic file that a computing device may use to present a visual representation of the lighting conditions of the physical space.