Proc. SPIE. 9953, Optical Modeling and Performance Predictions VIII
KEYWORDS: Unmanned aerial vehicles, Detection and tracking algorithms, Visualization, Spectroscopy, Lamps, Light sources and illumination, Associative arrays, Algorithm development, 3D displays, Global Positioning System
In this study, we propose a fast rebuild technology for evaluating light quality in large areas. Outdoor light quality, which is measured by illuminance uniformity and the color rendering index, is difficult to conform after improvement. We develop an algorithm for a lighting quality mapping system and coordinates using a micro spectrometer and GPS tracker integrated with a quadcopter or unmanned aerial vehicle. After cruising at a constant altitude, lighting quality data is transmitted and immediately mapped to evaluate the light quality in a large area.
In this study, a process for optimizing the color temperature and lighting distribution on indoor LED lighting for human factor and energy saving is proposed. Based on the features of LED lighting, the diversified fixture design is more possibilities, such as the fixture with color-temperature and lighting distribution tunable. Therefore, the generalized reduced gradient optimization method is used to calculate the corrected color temperature of the fixture for the seat near the window affected by sun light. This research result could be used in the LED lighting design for more energy saving.