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;
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 prediction of a local change in said local environment and initiating a change in a local-environment-influencing system to counter said local change.
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Abstract
Disclosed is a photometer 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.
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Citations
12 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; 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 prediction of a local change in said local environment and initiating a change in a local-environment-influencing system to counter said local change. - View Dependent Claims (2, 3, 4, 5, 6)
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7. 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) predicting, using said computing system, a predicted local change in said local environment responsive to said plurality of metrics and performance data of said local environment from said HDR image, wherein said predicted local change is in advance of an actual local change in said local environment wherein said steps a)-c) are included in a control system for a building, wherein said building includes an automated climate control responsive to said control system, and wherein said predicted local change is processed into control signals for said control system which operates said automated climate control to reduce a magnitude of said actual local change or a rate of change of said actual local change. - View Dependent Claims (8, 9, 10)
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11. 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) predicting, using said computing system, a predicted local change in said local environment responsive to said plurality of metrics and performance data of said local environment from said HDR image, wherein said predicted local change is in advance of an actual local change in said local environment wherein said steps a)-c) are included in a distributed meteorological system having a plurality of data gathering locations distributed over a geographical region having a plurality of microclimates greater in number than a number of said data gathering locations, wherein each said data gathering location performs steps a)-c), and wherein a statistical processing of said predicted local changes for one or more of said microclimates.
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12. 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) predicting, using said computing system, a predicted local change in said local environment responsive to said plurality of metrics and performance data of said local environment from said HDR image, wherein said predicted local change is in advance of an actual local change in said local environment wherein said steps a)-c) produce a predicted local change for a first building connected to a power grid operated by a utility company, wherein said predicted local change for said first building is accompanied by a change in an energy demand by said first building through said power grid wherein said change in said energy demand determines whether said utility changes an energy production for said power grid, and wherein said predicted local change is provided to said utility allowing said utility to modify said energy production consistent with said actual local change.
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Specification