Controlling parameters in a building
First Claim
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1. A method for controlling parameters in a building, comprising:
- using a first sensor type to determine an occurrence of an event associated with a change in a current occupancy state;
identifying the current occupancy state of the building based on the occurrence of the event;
using a predictive schedule to determine a time when the current occupancy state of the building is expected to change;
determining an updated occupancy state after a predetermined time threshold lapses from the occurrence of the event using an additional sensor type different from the first sensor type;
calculating a confidence score for the first sensor type based at least in part on determining the updated occupancy state after the predetermined time threshold lapses;
updating the predictive schedule based at least in part on calculating the confidence score for the first sensor type; and
adjusting parameters to a pre-determined comfort level based on the updated occupancy state after the predetermined time threshold lapses.
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Abstract
Methods and systems are described for controlling parameters in a building. According to at least one embodiment, a method for controlling parameters in a building includes using a first sensor type to determine whether the building is occupied and using a second sensor type to determine how reliable the first sensor type determines occupancy.
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Citations
17 Claims
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1. A method for controlling parameters in a building, comprising:
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using a first sensor type to determine an occurrence of an event associated with a change in a current occupancy state; identifying the current occupancy state of the building based on the occurrence of the event; using a predictive schedule to determine a time when the current occupancy state of the building is expected to change; determining an updated occupancy state after a predetermined time threshold lapses from the occurrence of the event using an additional sensor type different from the first sensor type; calculating a confidence score for the first sensor type based at least in part on determining the updated occupancy state after the predetermined time threshold lapses; updating the predictive schedule based at least in part on calculating the confidence score for the first sensor type; and adjusting parameters to a pre-determined comfort level based on the updated occupancy state after the predetermined time threshold lapses. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computing device configured for controlling parameters in a building, comprising:
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a processor; memory in electronic communication with the processor; and instructions stored in the memory, the instructions being executable by the processor to; use a first sensor type to determine an occurrence of an event associated with a change in a current occupancy state; identify the current occupancy state of the building based on the occurrence of the event; use a predictive schedule to determine a time when the current occupancy state of the building is expected to change; determine an updated occupancy state after a predetermined time threshold lapses from the occurrence of the event using an additional sensor type different from the first sensor type; calculate a confidence score for the first sensor type based at least in part on determining the updated occupancy state after the predetermined time threshold lapses; update the predictive schedule based at least in part on calculating the confidence score for the first sensor type; and adjust parameters to a pre-determined comfort level based on the updated occupancy state after the predetermined time threshold lapses. - View Dependent Claims (12, 13, 14, 15)
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16. A computer-program product for controlling parameters in a building, the computer-program product comprising a non-transitory computer-readable medium having instructions thereon, the instructions being executable by a processor to:
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use a first sensor type to determine an occurrence of an event associated with a change in a current occupancy state; identify the current occupancy state of the building based on the occurrence of the event; use a predictive schedule to determine a time when the current occupancy state of the building is expected to change; determine an updated occupancy state after a predetermined time threshold lapses from the occurrence of the event using an additional sensor type different from the first sensor type; calculate a confidence score for the first sensor type based at least in part on determining the updated occupancy state after the predetermined time threshold lapses; update the predictive schedule based at least in part on calculating the confidence score for the first sensor type; and adjust parameters to a pre-determined comfort level based on the updated occupancy state after the predetermined time threshold lapses. - View Dependent Claims (17)
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Specification