Method and arrangement for ascertaining an emitted amount of substance
AssigneeDeere & Company
InventorChristophe Gossard
Life of this patent
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Abstract
A method and arrangement for ascertaining an amount of substance emitted as a result of the operation of a functional unit of a vehicle includes transmitting signals from a signal source, which are generated independently of the amount of substance to be ascertained, as input data, to a data processing apparatus. The data processing apparatus contains at least one neural network as a trained model for processing the input data. The method includes generating output data representing the emitted amount of substance in the data processing apparatus using the at least one neural network.
Claims17
A method for ascertaining an amount of substance emitted as a result of the operation of a functional unit of a vehicle, the method comprising:
- transmitting signals from a signal source, which are generated independently of the amount of substance to be ascertained, as input data, to a data processing apparatus, wherein the data processing apparatus contains at least one neural network as a trained model for processing the input data, wherein the signals from the signal source represent an actual state of the functional unit;
- and
- generating output data representing the emitted amount of substance in the data processing apparatus using the at least one neural network;
- wherein the input data are transmitted to the trained model on the basis of a comparison between the signals from the signal source and a calibration value representing a calibration state of the functional unit;
- wherein the input data are transmitted to the trained model if the value of the signals from the signal source is greater than the calibration value;
- and
- wherein all of the signals from the signal source having a value greater than the calibration value are transmitted to the trained model.
An arrangement for ascertaining an amount of substance emitted as a result of an operation of a functional unit of a vehicle, the arrangement comprising:
- a signal source for providing signals, which are generated independently of the amount of substance to be ascertained, wherein the signals from the signal source represent an actual state of the functional unit,
- a processor, which receives the signals as input data and contains at least one neural network as a trained model for processing the input data;
- and
- an output of the processor for outputting output data, which are generated using the at least one neural network and represent the emitted amount of substance;
- wherein the input data are transmitted to the trained model on the basis of a comparison between the signals from the signal source and a calibration value representing a calibration state of the functional unit;
- wherein the input data are transmitted to the trained model if the value of the signals from the signal source is greater than the calibration value;
- and
- wherein all of the signals from the signal source having a value greater than the calibration value are transmitted to the trained model.
An arrangement for ascertaining an amount of substance emitted as a result of an operation of an internal combustion engine of a vehicle, the arrangement comprising:
- a signal source for providing signals, which are generated independently of the amount of substance to be ascertained, wherein the signals from the signal source represent an actual state of the internal combustion engine;
- a processor, which receives the signals as input data and contains at least one neural network as a trained model for processing the input data;
- an output of the processor for outputting output data, which are generated using the at least one neural network and represent the emitted amount of substance;
- and
- an electronic comparison algorithm configured such that the input data are transmitted to the trained model on the basis of a comparison between the signals from the signal source and a calibration value representing a calibration state of the internal combustion engine, wherein all signals from the signal source greater than the calibration value are transmitted to the trained model, and wherein all signals from the signal source less than the calibration value are not transmitted to the trained model.
Dependencies are inferred from the claim text.