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US 11,641,707 B2Granted
Lighting load classification and dimmer configuration based thereon
AssigneeLeviton Manufacturing Co., Inc.
InventorsA M Sarwar Jahan, Wen Gu, Tianjian Huang
Life of this patent
Estimating the term…
Abstract
A machine learning model for classifying different lighting loads based on properties of electrical current through the loads is built. The model is applied to electrical data gathered based on powering a target lighting load in order to classify the load. Based on load classification, operating parameter(s) to control operation of a dimmer to control power to the load are selected and the dimmer is configured with the selected parameter(s) to achieve desired dimmer operation in dimming the load.
Claims17
A dimmer for controlling conduction of a supply of power to a lighting load, the dimmer comprising:
- a line input terminal and a load output terminal, the line input terminal configured to be electrically coupled to the supply of power, and the load output terminal configured to be electrically coupled to the lighting load;
- a switching circuit electrically coupled in series between the line input terminal and the load output terminal, the switching circuit configured to be selectively controlled between an ON state and an OFF state;
- a memory;
- and
- a processing circuit in communication with the memory, wherein the dimmer is configured to perform a method comprising:
- obtaining a machine learning model that is configured, via training, to classify lighting loads into a plurality of different lighting load classes, wherein the classifying is based on properties of electrical current through the lighting loads, and the plurality of different lighting load classes correspond to different lamp types having differing internal circuitry and electrical performance thereof;
- based on conducting the supply of power to the lighting load, obtaining electrical current data representing properties of electrical current through the lighting load over a duration of time;
- applying the machine learning model, using the obtained electrical current data representing properties of electrical current through the lighting load, to classify the lighting load;
- and
- performing processing based on the applying, wherein the performing processing comprises configuring the dimmer with one or more dimmer operating parameters that control operation of the dimmer.
7 more elements
A method for controlling operation of a dimmer, the method comprising:
- conducting a supply of power to a lighting load;
- based on the conducting, obtaining electrical current data representing properties of electrical current through the lighting load over a duration of time;
- and
- based on a classification of the lighting load by a machine learning model, configuring the dimmer with one or more dimmer operating parameters that control operation of the dimmer, wherein the machine learning model is configured, via training, to classify lighting loads into a plurality of different lighting load classes based on properties of electrical current through the lighting loads, the plurality of different lighting load classes corresponding to different lamp types having differing internal circuitry and electrical performance thereof.
1 more element
A dimmer for controlling conduction of a supply of power to a lighting load, the dimmer comprising:
- a line input terminal and a load output terminal, the line input terminal configured to be electrically coupled to the supply of power, and the load output terminal configured to be electrically coupled to the lighting load;
- a switching circuit electrically coupled in series between the line input terminal and the load output terminal, the switching circuit configured to be selectively controlled between an ON state and an OFF state;
- a memory;
- and
- a processing circuit in communication with the memory, wherein the dimmer is configured to perform a method comprising:
- based on conducting the supply of power to the lighting load, obtaining electrical current data representing properties of electrical current through the lighting load over a duration of time;
- based on a classification of the lighting load by a machine learning model, configuring the dimmer with one or more dimmer operating parameters that control operation of the dimmer, wherein the machine learning model is configured, via training, to classify lighting loads into a plurality of different lighting load classes based on properties of electrical current through the lighting loads, the plurality of different lighting load classes corresponding to different lamp types having differing internal circuitry and electrical performance thereof.
4 more elements
Dependencies are inferred from the claim text.