Expert system for prediction of changes to local environment
First Claim
Patent Images
1. An apparatus comprising:
- an HDR (high dynamic range) capturer configured to obtain an image of a local environment, said HDR capturer including at least a pair of horizontally arranged HDR imagers each having a field-of-view wherein said field-of-view of each said HDR imager is non-aligned with at least one other field-of-view of said at least said pair of imagers;
a mapper processing said image and extracting a plurality of metrics and performance data of said local environment; and
an expert learning system, responsive to said plurality of metrics and performance data, generating a near real-time assessment of said local environment and initiating a change in a local-environment-influencing system to respond to said assessment.
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Abstract
Disclosed is a system, method, and computer program product that employs high dynamic range (HDR) image processing and manipulation algorithms for capturing and measuring real-time sky conditions for processing into control input signals to a building'"'"'s automated fenestration (AF) system, daylight harvesting (DH) system and HVAC system. The photometer comprises a color camera and a fitted fish-eye lens to capture 360-degree, hemispherical, low dynamic range (LDR) color images of the sky. Both camera and lens are housed in a sealed enclosure protecting them from environmental elements and conditions. In some embodiments the camera and processes are controlled and implemented by a back-end computer.
42 Citations
20 Claims
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1. An apparatus comprising:
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an HDR (high dynamic range) capturer configured to obtain an image of a local environment, said HDR capturer including at least a pair of horizontally arranged HDR imagers each having a field-of-view wherein said field-of-view of each said HDR imager is non-aligned with at least one other field-of-view of said at least said pair of imagers; a mapper processing said image and extracting a plurality of metrics and performance data of said local environment; and an expert learning system, responsive to said plurality of metrics and performance data, generating a near real-time assessment of said local environment and initiating a change in a local-environment-influencing system to respond to said assessment. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A computer-implemented method, comprising:
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a) producing an HDR (high dynamic range) image for a local environment, said HDR image produced from an HDR capturer including at least a pair of horizontally arranged HDR imagers each having a field-of-view wherein said field-of-view of each said HDR imager is non-aligned with at least one other field-of-view of said at least said pair of imagers; b) extracting, using a computing system, a plurality of metrics and performance data of said local environment from said HDR image; and c) assessing, using said computing system, said local environment, producing an assessment, and initiating a change in a local-environment-influencing system to respond to said assessment. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15)
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16. A computer-implemented method, comprising:
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a) producing an HDR (high dynamic range) image for a local environment; b) extracting, using a computing system, a plurality of metrics and performance data of said local environment from said HDR image; and c) assessing, using said computing system, said local environment, producing an assessment, and initiating a change in a local-environment-influencing system to respond to said assessment. - View Dependent Claims (17, 18, 19, 20)
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Specification