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US 12,572,119 B2Granted
Acoustic monitoring for detection of anomalous operation of cleaning machines
AssigneeEcolab USA Inc.
InventorsConor Sylvester Smith, Paul Dominic Christian
Life of this patent
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Abstract
A computing device and/or computer-implemented method determines whether acoustic data associated with operation of a cleaning machine represents normal or anomalous operation of the cleaning machine. In some examples, upon determining that the acoustic data represents anomalous operation of the cleaning machine, the computing device further identifies a root cause(s) of the anomalous operation and/or one or more remedial actions that may be taken in response the root cause of the anomalous operation.
Claims17
A method comprising:
- storing, in a storage device associated with a computing device comprising one or more processors, a trained acoustic classifier;
- obtaining, by the one or more processors, acoustic data associated with operation of a cleaning machine acquired during a plurality of sample periods;
- determining, by the one or more processors using the trained acoustic classifier, a plurality of predicted operational states of the cleaning machine for the plurality of sample periods based on the acoustic data acquired during the plurality of sample periods, wherein the predicted operational states are determined from among a plurality of predefined operational states;
- determining, by the one or more processors, that a sequence of the plurality of the predicted operational states represents one of:
- normal operation or anomalous operation of the cleaning machine;
- in response to determining the sequence of the plurality of the predicted operational states represents the anomalous operation of the cleaning machine, identifying, by the one or more processors, a root cause of the anomalous operation;
- and
- automatically invoking, by the one or more processors, one or more remedial actions associated with the root cause of the anomalous operation, wherein the one or more remedial actions address or alleviate the root cause of the anomalous operation.
5 more elements
A system comprising:
- at least one storage device configured to store a trained acoustic classifier;
- one or more processors;
- and
- a memory comprising instructions that when executed by the one or more processors cause the one or more processors to:
- obtain acoustic data associated with operation of a cleaning machine acquired during a plurality of sample periods;
- determine, using the trained acoustic classifier, a plurality of predicted operational states of the cleaning machine for the plurality of sample periods based on the acoustic data acquired during the plurality of sample periods, wherein the predicted operational states are determined from among a plurality of predefined operational states;
- and
- determine that a sequence of the plurality of the predicted operational states represents one of;
- normal operation or anomalous operation of the cleaning machine;
- in response to determining the sequence of the plurality of the predicted operational states represents the anomalous operation of the cleaning machine, identify a root cause of the anomalous operation;
- and
- automatically invoke one or more remedial actions associated with the root cause of the anomalous operation, wherein the one or more remedial actions address or alleviate the root cause of the anomalous operation.
9 more elements
One or more non-transitory computer readable media comprising instructions that when executed by one or more processors cause the one or more processors to:
- store a trained acoustic classifier;
- obtain acoustic data associated with operation of a cleaning machine acquired during a plurality of sample periods;
- determine, using the trained acoustic classifier, a plurality of predicted operational states of the cleaning machine for the plurality of sample periods based on the acoustic data acquired during the plurality of sample periods, wherein the predicted operational states are determined from among a plurality of predefine operational states;
- and
- determine that a sequence of the plurality of the predicted operational states represents one of:
- normal operation or anomalous operation of the cleaning machine;
- in response to determining the sequence of the plurality of the predicted operational states represents the anomalous operation of the cleaning machine, identify a root cause of the anomalous operation;
- and
- automatically invoke one or more remedial actions associated with the root cause of the anomalous operation, wherein the one or more remedial actions address or alleviate the root cause of the anomalous operation.
6 more elements
Dependencies are inferred from the claim text.