Machine learning classification or scoring of cleaning outcomes in cleaning machines
An automated cleaning machine includes a trained cleaning outcome classifier that automatically classifies or scores cleaning outcomes for a cleaning machine using machine learning techniques. The cleaning outcome classifier may be trained on training data comprising a plurality of training inputs and a known output for each of the plurality of training inputs. Each of the plurality of training inputs may include one or more cleaning process parameters corresponding to a cleaning process executed by a cleaning machine executed during a training phase. The known output for each training input may include a cleaning outcome classification or score. The cleaning outcome of a novel cleaning process may then be classified or scored with the trained cleaning outcome classifier based on one or more cleaning process parameters corresponding to the novel cleaning process.
1. A method comprising:
storing, in a storage device of an automated cleaning machine, predefined values of one or more cleaning process parameters and a trained cleaning process classifier, wherein the trained cleaning process classifier is a trained two-class classification machine learning model and is configured to classify outcomes of cleaning processes of the automated cleaning machine as either clean or soiled;
controlling, by a controller of the automated cleaning machine, execution by the automated cleaning machine of at least a first cleaning process of the automated cleaning machine using the predefined values of the one or more cleaning process parameters;
monitoring, by the controller of the automated cleaning machine, measured values of the one or more cleaning process parameters during execution of the first cleaning process;
classifying, by the controller of the automated cleaning machine, an outcome of the first cleaning process using the trained cleaning process classifier based on the measured values of the one or more cleaning process parameters;
in response to the trained cleaning process classifier classifying the outcome of the first cleaning process as soiled:
using, by the controller of the automated cleaning machine, the trained cleaning process classifier to predict cleaning outcomes for a plurality of different sets of adjusted values of the one or more cleaning process parameters; and
selecting, by the controller of the automated cleaning machine, one of the sets of adjusted values of the one or more cleaning process parameters that resulted in a clean prediction for the first cleaning process; and
controlling execution by the automated cleaning machine of the first cleaning process or a second cleaning process of the automated cleaning machine using the adjusted values of the one or more cleaning process parameters.
2. The method of claim 1 , wherein the trained cleaning process classifier is trained using training data obtained from one or more designed experiments or field tests in which one or more cleaning process verification coupons are placed in wash chambers of one or more cleaning machines and exposed to a cleaning process executed by the one or more cleaning machine during a training phase.
3. The method of claim 1 , wherein the trained cleaning process classifier is trained based on one or more cleaning process parameters corresponding to each of a plurality of cleaning processes executed during a training phase and a known output corresponding to each of the plurality of cleaning processes executed during the training phase.
4. The method of claim 1 , wherein the one or more cleaning process parameters include one or more of a wash temperature, a rinse temperature, a wash time, a rinse time, a conductivity of wash water, a detergent type, a rinse aid type, a water hardness of the wash water, an alkalinity of the wash water, and/or a measurement of food soil presence in the wash water.
5. The method of claim 4 , wherein the measurement of food soil presence is a Boolean parameter having a first possible value of food soil=true and a second possible value of food soil=false.
6. The method of claim 4 , wherein the measurement of food soil presence comprises a turbidity measurement of cleaning solution in a sump of the automated cleaning machine.
7. An automated cleaning machine comprising:
at least one processor; and
at least one storage device that stores predefined values of one or more cleaning process parameters and a trained cleaning process classifier, wherein the trained cleaning process classifier is a trained two-class classification machine learning model and is configured to classify outcomes of cleaning processes of the automated cleaning machine as either clean or soiled;
the at least one storage device further comprising instructions executable by the at least one processor to:
control execution by the automated cleaning machine of at least one of the cleaning processes using the predefined values of the one or more cleaning process parameters;
monitor measured values of the one or more cleaning process parameters during execution of the cleaning process;
classify an outcome of the cleaning process using the trained cleaning process classifier based on the measured values of the one or more cleaning process parameters;
in response to the trained cleaning process classifier classifying the outcome of the cleaning process as soiled:
use the trained cleaning process classifier to predict cleaning outcomes for a plurality of different sets of adjusted values of the one or more cleaning process parameters; and
select one of the sets of adjusted values of the one or more cleaning process parameters that resulted in a clean prediction for the cleaning process; and
control execution by the automated cleaning machine of a remainder of the cleaning process using the selected set of adjusted values of the one or more cleaning process parameters.
8. An automated cleaning machine comprising:
at least one processor; and
at least one storage device that stores predefined values of one or more cleaning process parameters and a trained cleaning process classifier, wherein the trained cleaning process classifier is a trained two-class classification machine learning model and is configured to classify outcomes of cleaning processes of the automated cleaning machine as either clean or soiled;
the at least one storage device further comprising instructions executable by the at least one processor to:
control execution by the automated cleaning machine of at least a first cleaning process using the predefined values of the one or more cleaning process parameters;
monitor measured values of the one or more cleaning process parameters during execution of the first cleaning process;
classify an outcome of the first cleaning process using the trained cleaning process classifier based on the measured values of the one or more cleaning process parameters;
in response to the trained cleaning process classifier classifying the outcome of the first cleaning process as soiled:
use the trained cleaning process classifier to predict cleaning outcomes for a plurality of different sets of adjusted values of the one or more cleaning process parameters; and
select one of the sets of adjusted values of the one or more cleaning process parameters that resulted in a clean prediction for the first cleaning process; and
control execution by the automated cleaning machine of a subsequent second cleaning process using the selected set of adjusted values of the one or more cleaning process parameters.
9. The automated cleaning machine of claim 8 , wherein the trained cleaning process classifier is trained using training data obtained from one or more designed experiments or field tests in which one or more cleaning process verification coupons are placed in wash chambers of one or more cleaning machines and exposed to a cleaning process executed by the one or more cleaning machines during a training phase.
10. The automated cleaning machine of claim 8 , wherein the trained cleaning process classifier is trained based on one or more cleaning process parameters corresponding to each of a plurality of cleaning processes executed during a training phase and a known output corresponding to each of the plurality of cleaning processes executed during the training phase.
11. The automated cleaning machine of claim 8 , wherein the one or more cleaning process parameters include one or more of a wash temperature, a rinse temperature, a wash time, a rinse time, a conductivity of wash water, a detergent type, a rinse aid type, a water hardness of the wash water, an alkalinity of the wash water, and/or a measurement of food soil presence in the wash water.
12. The automated cleaning machine of claim 11 , wherein the measurement of food soil presence is a Boolean parameter having a first possible values of food soil=true and a second possible value of food soil=false.
13. The automated cleaning machine of claim 11 , wherein the measurement of food soil presence comprises a turbidity measurement of cleaning solution in a sump of the automated cleaning machine.