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US 12,625,409 B2Granted
Multi-sensor synergy
AssigneeView Operating Corporation
InventorsAditya Dayal, Nitesh Trikha
Life of this patent
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Abstract
Disclosed herein are methods, apparatuses, non-transitory computer readable media, and systems for performing synergistic sensing an attribute of an environment of a facility. Sensing may be performed by sensors of a facility from which a first sensor measures a first attribute at its first sampling rate. Due to a correlation of the first sensor and a second sensor that measures a second attribute at a second sampling rate slower than the first sampling rate, the second attribute can be determined and/or predicted at least in part by using measurements of the first attribute by the first sensor.
Claims20
A method of determining an attribute, the method comprising:
- using a first sensor to measure a first attribute at a first sampling rate, the first sampling rate being faster than a second sampling rate of a second sensor configured to sense a second attribute;
- using the first sensor to collect first sensed data during a period of time at the first sampling rate;
- using a third sensor to measure a third attribute at a third sampling rate, the third sampling rate being faster than the second sampling rate of the second sensor;
- using the third sensor to collect third sensed data during the period of time at the third sampling rate, wherein the third sensor comprises a different sensor type than the first sensor;
- obtaining data indicative of an occurrence of an activity during the period of time;
- responsive to obtaining the data indicative of the occurrence of the activity:
- (i) evaluating, by an artificial intelligence, the first sensed data to determine a first correlation between the activity and a first range of values of the first sensed data, and
- (ii) evaluating, by the artificial intelligence, the third sensed data to determine a second correlation between the activity and a third range of values of the third sensed data;
- determining, by the artificial intelligence, a relationship between the activity, the first range of values, and the third range of values, wherein determining the relationship is based at least in part on the first correlation and the second correlation;
- and
- determining, by the artificial intelligence, the second attribute at least in part by using measurements of the first attribute by the first sensor and the third attribute by the third sensor rather than measurements of the second sensor, the first, second, and third sensors being of a facility.
8 more elements
A non-transitory computer readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform an operation, the operation comprising:
- using, or directing use of, a first sensor to measure a first attribute at a first sampling rate, the first sampling rate being faster than a second sampling rate of a second sensor configured to sense a second attribute;
- collecting, or directing collection of, the first sensor to collect first sensed data during a period of time at the first sampling rate;
- using, or directing use of, a third sensor to measure a third attribute at a third sampling rate, the third sampling rate being faster than the second sampling rate of the second sensor;
- collecting, or directing collection of, the third sensor to collect third sensed data during the period of time at the third sampling rate, wherein the third sensor comprises a different sensor type than the first sensor;
- obtaining, or directing obtaining of, data indicative of an occurrence of an activity during the period of time;
- responsive to obtaining the data indicative of the occurrence of the activity:
- (i) evaluating, or directing evaluation of, by an artificial intelligence, the first sensed data to determine a first correlation between the activity and a first range of values of the first sensed data;
- and
- (ii) evaluating, or directing evaluation of, by the artificial intelligence, the third sensed data to determine a second correlation between the activity and a third range of values of the third sensed data;
- determining, or directing determination of, by the artificial intelligence, a relationship between the activity, the first range of values, and the third range of values, wherein determining the relationship is based at least in part on the first correlation and the second correlation;
- and
- determining, or directing determination of, by the artificial intelligence, the second attribute at least in part by using measurements of the first attribute by the first sensor and the third attribute by the third sensor rather than measurements of the second sensor, the first, second, and third sensors being of an environment.
9 more elements
An apparatus, comprising:
- a device ensemble comprising a first sensor, a second sensor, a third sensor, and at least one processor, the device ensemble being configured to:
- measure a first attribute by the first sensor at a first sampling rate, the first sampling rate being faster than a second sampling rate of the second sensor configured to sense a second attribute;
- collect, using the first sensor, first sensed data during a period of time at the first sampling rate;
- measure a third attribute by the third sensor at a third sampling rate, the third sampling rate being faster than the second sampling rate of the second sensor;
- collect, using the third sensor, third sensed data during the period of time at the third sampling rate, wherein the third sensor comprises a different sensor type than the first sensor;
- obtaining, by the at least one processor, data indicative of an occurrence of an activity during the period of time;
- and
- responsive to obtaining the data indicative of the occurrence of the activity, the at least one processor is configured to:
- (i) evaluate, implementing an artificial intelligence, the first sensed data to determine a first correlation between the activity and a first range of values of the first sensed data;
- (ii) evaluate, by implementing the artificial intelligence, the third sensed data to determine a second correlation between the activity and a third range of values of the third sensed data;
- (iii) determine, by implementing the artificial intelligence, a relationship between the activity, the first range of values, and the third range of values, wherein determining the relationship is based at least in part on the first correlation and the second correlation;
- and
- (iv) determine, by implementing the artificial intelligence, the second attribute at least in part by using measurements of the first attribute by the first sensor and the third attribute by the third sensor rather than measurements of the second sensor, the first, second, and third sensors being of an enclosure.
10 more elements
Dependencies are inferred from the claim text.