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US 12,711,384 B2Granted
Neural network initialization
AssigneePassiveLogic, Inc.
InventorsTroy Aaron Harvey, Jeremy David Fillingim
Life of this patent
Estimating the term…
Abstract
A neural network representing a controlled space can be initialized by collecting state time series data that affects the controlled space such as weather, and also collecting sensor data from the controlled space at the same time. The time series data is used as input to a neural network that models the controlled space until an area in the neural network equivalent to the sensor is at or near the sensor state at a given time.
Claims21
A computer-implemented method for initializing and operating a thermodynamic neural network representing a building, the method comprising:
- receiving, from at least one physical sensor located within the building, sensor values representing a state of a portion of the building;
- receiving a sequence of time state values;
- storing the sequence of time state values in a memory;
- receiving a sensor value of the portion of the building;
- storing the sensor value in the memory;
- executing, by a processor, a neural network stored in the memory, the neural network comprising a first neuron and a second neuron, the first neuron representing a first structural component of the building and the second neuron representing a second structural component thermally coupled to the first structural component, each neuron comprising an activation function, the activation function comprising a permanent variable representing a physical property of a building structure, and a transient variable representing a thermodynamic state of the building;
- propagating the sequence of time state values through the neural network over the sequence of time state values;
- computing, by the activation function of the first neuron, a value of the transient variable of the first neuron using at least one of the sequence of time state values;
- computing, by the activation function of the second neuron, a value of the transient variable of the second neuron using output from the first neuron;
- iteratively updating the transient variable of the second neuron for successive time values until the transient variable corresponds to the sensor value;
- after the transient variable corresponds to the sensor value, generating a thermodynamic state model of the portion of the building;
- and
- determining an operating state of a heating or cooling system of the building based on the thermodynamic state model.
10 more elements
A system for modeling thermodynamic behavior of a building, comprising:
- a processor;
- a memory in operational communication with the processor;
- and
- a neural network stored in the memory, the neural network comprising a plurality of neurons including a first neuron and a second neuron, the first neuron representing a first structural component of the building and the second neuron representing a second structural component thermally coupled to the first structural component, each neuron comprising an activation function, the activation function comprising a permanent variable representing a physical property of a building structure, and a transient variable representing a thermodynamic state;
- wherein the processor is in communication with the memory configured to:
- receive a value comprising a sensed state of the building;
- receive values representing state;
- propagate the values representing state through the neural network, comprising computing transient variable values of the neurons using the activation functions;
- after the transient variable corresponds to the sensed state, operating the neural network to determine a thermodynamic state of a portion of the building;
- determine a thermodynamic state of the portion of the building using the transient variable of the second neuron;
- and
- determine an operating state of a heating or cooling system of the building based on the thermodynamic state.
9 more elements
A non-transitory computer-readable storage medium storing instructions which, when executed by a processor, cause the processor to:
- execute, by the processor, a neural network stored in memory, the neural network comprising a first neuron and a second neuron, the first neuron representing a first structural component of the building and the second neuron representing a second structural component thermally coupled to the first structural component, each neuron comprising an activation function, the activation function comprising a permanent variable representing a physical property of a building structure, and a transient variable representing a thermodynamic state of a building;
- receive a value comprising a sensed state of a building;
- receive values representing state;
- propagate the values representing state through a neural network, comprising computing transient variable values of the neurons using the activation functions;
- after the transient variable corresponds to the sensed state, operating the neural network to determine a thermodynamic state of a portion of the building;
- determine a thermodynamic state of the portion of the building using the transient variable of the second neuron;
- and
- determine an operating state of a heating or cooling system of the building based on the thermodynamic state.
5 more elements
Dependencies are inferred from the claim text.