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US 12,656,011 B2Granted
Air-quality monitoring driven building system control
OwnerLoucinda C. Bistany, William D. Hargett +1inventors
InventorsLoucinda C. Bistany, William D. Hargett, Stephen S. Milt
Life of this patent
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Abstract
An air quality monitoring system integrated with the building management system observes and records air quality data and building system data. Based on the observed air quality data and building system data, one or more training data sets can be generated. Such training data sets are used to train one or more machine-learning models configured to determine one or more threshold values for the air quality. These thresholds are then used to modify or adjust one or more building systems based on monitored air quality data.
Claims17
A method, comprising:
- training a first machine-learning model using a first training data set associated with an environment such that the first machine learning model is configured to receive data indicating a location within the environment as an input and output a baseline value for an aerosolized substance of interest;
- training a second machine-learning model according to the first training data set such that the second machine-learning model is configured to receive data indicating the aerosolized substance of interest as an input and output a substance threshold value based on the first training data set;
- activating, at the location in the environment, a chemical sensor;
- monitoring, by the chemical sensor, a presence of the aerosolized substance of interest based on the baseline value;
- and
- in response to detecting the presence of the substance of interest by the chemical sensor, modifying a building system associated with the location of the environment based on the aerosolized substance.
3 more elements
A method, comprising:
- classifying a historical air quality data associated with an air quality detection system at an environment so as to produce a first training data set;
- training a first machine-learning model using the first training data set such that the first machine learning model is configured to receive data indicating a location in the environment as an input and output baseline value;
- training a second machine-learning model according to the first training data set such that the second machine-learning model is configured to receive data indicating a certain aerosolized substance as an input and output a threshold value based on the first training data set;
- determining, by at least a portion of the air quality detection system, a particle count of the certain aerosolized substance at the location in the environment;
- and
- in response to the particle count of the certain aerosolized substance exceeding the threshold value, adjusting a building management system associated with the environment.
3 more elements
An air quality system comprising:
- an air quality sensor disposed at a first location in an environment and configured to determine a particle count of a certain aerosolized substance at the first location in the environment;
- and
- a server including at least one processor configured to:
- classify a historical air quality data associated with the environment so as to produce a first training data set;
- train a first machine-learning model using the first training data set such that the first machine learning model is configured to receive data indicating the location in the environment as an input and output a baseline value;
- and
- train a second machine-learning model according to the first training data set such that the second machine-learning model is configured to receive data indicating the certain aerosolized substance as an input and output a substance threshold value based on the first training data set;
- in response to the particle count of the certain aerosolized substance exceeding the threshold value, modify a building system associated with the first location in the environment based on the aerosolized substance.
5 more elements
Dependencies are inferred from the claim text.