Influence learning for managing physical conditions of an environmentally controlled space by utilizing a calibration override which constrains an actuator to a trajectory
First Claim
1. A method of updating an influence model of an environmental maintenance system that includes a plurality of environmental maintenance modules and a plurality of sensors, each sensor measuring a value of a corresponding physical condition of an environment, each module including one or more actuators, the method comprising:
- running the environmental maintenance system in a first production mode that uses the influence model to determine operation levels of the actuators by;
measuring sensor values of the sensors; and
determining first operation levels of the actuators that optimize a first cost function such that predicted sensor values do not exceed a threshold, wherein the predicted sensor values are determined using the influence model based on the first operation levels of the actuators;
identifying an event indicating a second production mode in which the influence model is updated, wherein an operation level of at least one of the actuators is varied as part of an update procedure of the second production mode; and
running the environmental maintenance system in the second production mode by;
selecting a first actuator among the actuators for calibration override, wherein the calibration override includes;
constraining an operation level of the first actuator to vary according to a first predetermined trajectory, wherein the first predetermined trajectory overrides an operation level determined for the first actuator using the influence model, constraining including;
assigning a first predetermined value to the first actuator at a first predetermined time, the first predetermined trajectory including the first predetermined value at the first predetermined time; and
assigning a second predetermined value to the first actuator at a second predetermined time, the first predetermined trajectory including the first predetermined value at the first predetermined time and the second predetermined value at the second predetermined time;
determining second operation levels of a subset of the actuators that optimize a second cost function based on measured sensor values, the subset not including the first actuator; and
updating the influence model based on the first predetermined trajectory, the second operation levels, and measured sensor values.
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Abstract
Systems and methods are described for updating an influence model used to manage physical conditions of an environmentally controlled space. A method comprises operating an environmental maintenance system in a first production mode with the influence model until an event causes the system to enter a second production mode. In the second production mode a first actuator'"'"'s operation level is varied and operation levels of other actuators are optimized. The influence model is adjusted based on the operation levels.
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Citations
20 Claims
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1. A method of updating an influence model of an environmental maintenance system that includes a plurality of environmental maintenance modules and a plurality of sensors, each sensor measuring a value of a corresponding physical condition of an environment, each module including one or more actuators, the method comprising:
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running the environmental maintenance system in a first production mode that uses the influence model to determine operation levels of the actuators by; measuring sensor values of the sensors; and determining first operation levels of the actuators that optimize a first cost function such that predicted sensor values do not exceed a threshold, wherein the predicted sensor values are determined using the influence model based on the first operation levels of the actuators; identifying an event indicating a second production mode in which the influence model is updated, wherein an operation level of at least one of the actuators is varied as part of an update procedure of the second production mode; and running the environmental maintenance system in the second production mode by; selecting a first actuator among the actuators for calibration override, wherein the calibration override includes; constraining an operation level of the first actuator to vary according to a first predetermined trajectory, wherein the first predetermined trajectory overrides an operation level determined for the first actuator using the influence model, constraining including; assigning a first predetermined value to the first actuator at a first predetermined time, the first predetermined trajectory including the first predetermined value at the first predetermined time; and assigning a second predetermined value to the first actuator at a second predetermined time, the first predetermined trajectory including the first predetermined value at the first predetermined time and the second predetermined value at the second predetermined time; determining second operation levels of a subset of the actuators that optimize a second cost function based on measured sensor values, the subset not including the first actuator; and updating the influence model based on the first predetermined trajectory, the second operation levels, and measured sensor values. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer product comprising a non-transitory computer readable medium storing a plurality of instructions that when executed cause a computer system to update an influence model of an environmental maintenance system that includes a plurality of environmental maintenance modules and a plurality of sensors, each sensor measuring a value of a corresponding physical condition of an environment, each module including one or more actuators, the instructions comprising:
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running the environmental maintenance system in a first production mode that uses the influence model to determine operation levels of the actuators by; measuring sensor values of the sensors; and determining first operation levels of the actuators that optimize a first cost function such that predicted sensor values do not exceed a threshold, wherein the predicted sensor values are determined using the influence model based on the first operation levels of the actuators; identifying an event indicating a second production mode in which the influence model is updated, wherein an operation level of at least one of the actuators is varied as part of an update procedure of the second production mode; and running the environmental maintenance system in the second production mode by; selecting a first actuator among the actuators for calibration override, wherein the calibration override includes; constraining an operation level of the first actuator to vary according to a first predetermined trajectory, wherein the first predetermined trajectory overrides an operation level determined for the first actuator using the influence model, constraining including; assigning a first predetermined value to the first actuator at a first predetermined time, the first predetermined trajectory including the first predetermined value at the first predetermined time and assigning a second predetermined value to the first actuator at a second predetermined time, the first predetermined trajectory including the first predetermined value at the first predetermined time and the second predetermined value at the second predetermined time; determining second operation levels of a subset of the actuators that optimize a second cost function based on measured sensor values, the subset not including the first actuator; and updating the influence model based on the first predetermined trajectory, the second operation levels, and measured sensor values. - View Dependent Claims (12, 13, 14)
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15. A method of updating an influence model of an environmental maintenance system that includes a plurality of environmental maintenance modules and a plurality of sensors that measure a value of a physical condition of an environment, each module including one or more actuators, the method comprising:
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running the environmental maintenance system in a first production mode that uses the influence model to determine operation levels of the actuators by; measuring sensor values of the sensors; and determining first operation levels of the actuators that optimize a first cost function such that predicted sensor values do not exceed a threshold, wherein the predicted sensor values are determined using the influence model based on input levels of the actuators; identifying an event indicating a second production mode in which the influence model is updated, wherein identifying the event includes; determining a first confidence score of the influence model associated with the one or more actuators; selecting a first actuator among the actuators for calibration override based on the first confidence score for the first actuator being lower than a first threshold, and varying an operation level of the first actuator according to a predetermined trajectory as part of the calibration override, wherein the predetermined trajectory overrides an operation level determined for the first actuator using the influence model, varying including; assigning a first predetermined value to the first actuator at a first predetermined time, the predetermined trajectory including the first predetermined value at the first predetermined time; and assigning a second predetermined value to the first actuator at a second predetermined time, the predetermined trajectory including the first predetermined value at the first predetermined time and the second predetermined value at the second predetermined time. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification