Expert system for prediction of changes to local environment
作者： Christian Humann
DOI:
关键词: HVAC 、 Image processing 、 Sky 、 Artificial intelligence 、 Engineering 、 Photometer 、 High dynamic range 、 Lens (optics) 、 Daylight harvesting 、 Expert system 、 Computer vision
摘要: Disclosed is a photometer that employs high dynamic range (HDR) image processing and manipulation algorithms for capturing measuring real-time sky conditions into control input signals to building's automated fenestration (AF) system, daylight harvesting (DH) system HVAC system. The comprises color camera fitted fish-eye lens capture 360-degree, hemispherical, low (LDR) images of the sky. Both are housed in sealed enclosure protecting them from environmental elements conditions. In some embodiments processes controlled implemented by back-end computer.
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