Adaptive Handling of Abnormal-Condition Indicator Criteria
US-2016379465-A1 · Dec 29, 2016 · US
US2016378585A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016378585-A1 |
| Application number | US-201615257276-A |
| Country | US |
| Kind code | A1 |
| Filing date | Sep 6, 2016 |
| Priority date | Dec 1, 2014 |
| Publication date | Dec 29, 2016 |
| Grant date | — |
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Disclosed herein are systems, devices, and methods related to assets and asset operating conditions. In particular, examples involve determining health metrics that estimate the operating health of an asset or a part thereof, analyzing health metrics to determine variables that are associated with high health metrics, and modifying the handling of operating conditions that normally result in triggering of abnormal-condition indicators, among other examples.
Opening claim text (preview).
1 . A computing system comprising: at least one processor; a non-transitory computer-readable medium; and program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to: receive (i) historical response data indicating a plurality of past responses to instances of a given abnormal-condition indicator for one or more assets, wherein the given abnormal-condition indicator indicates an occurrence of a given abnormal condition at an asset, and (ii) historical conditions data indicating values of at least one given condition impacting asset operation at the time of the respective occurrences of the given abnormal condition at the one or more assets; based on the historical response data and the historical conditions data, identify a relationship between responses to the given abnormal-condition indicator and values of the at least one given condition impacting asset operation; receive, for a given asset, (i) operating data indicating a given occurrence of the given abnormal condition at the given asset, wherein the operating data is associated with a given instance of the given abnormal-condition indicator, and (ii) conditions data indicating a value of the at least one given condition at the time of the given occurrence of the given abnormal condition at the given asset; and based on (i) the received operating data and (ii) the received conditions data, handle the given instance of the given abnormal-condition indicator in accordance with the determined relationship. 2 . The computing system of claim 1 , wherein the determined relationship indicates that the given abnormal-condition indicator is ignored or disregarded when a value of the at least one given condition satisfies given criteria. 3 . The computing system of claim 2 , wherein handling the given instance of the given abnormal-condition indicator in accordance with the determined relationship comprises causing the given instance of the given abnormal-condition indicator to be suppressed if the value of the at least one given condition satisfies the given criteria. 4 . The computing system of claim 1 , wherein the at least one given condition comprises an ambient temperature of an asset. 5 . The computing system of claim 1 , wherein the at least one given condition comprises a location of an asset. 6 . The computing system of claim 5 , wherein handling, based on (i) the received operating data and (ii) the received conditions data, the given instance of the given abnormal-condition indicator in accordance with the determined relationship comprises: based on the received conditions data, determining that the location of the given asset at the time of the given occurrence of the given abnormal condition is within a threshold proximity of one or more locations that have a correlation to a given type of response to instances of the given abnormal-condition indicator; and based at least on the determination, handling the given instance of the given abnormal-condition indicator in accordance with the given type of response. 7 . The computing system of claim 6 , wherein the conditions data is first conditions data, and wherein the program instructions stored on the non-transitory computer-readable medium are further executable by the at least one processor to cause the computing system to: after handling the given instance of the given abnormal-condition indicator in accordance with the determined relationship, determine based on second conditions data that the location of the given asset is no longer within a threshold proximity of the one or more locations; and based at least on the determination, cease handling the given instance of the given abnormal-condition indicator in accordance with the given type of response. 8 . The computing system of claim 1 , wherein the operating data indicating the given occurrence of the given abnormal condition comprises the given instance of the abnormal-condition indicator. 9 . The computing system of claim 1 , wherein the operating data indicating the given occurrence of the given abnormal condition comprises sensor data that causes the computing system to generate the given instance of the abnormal-condition indicator. 10 . A non-transitory computer-readable medium having instructions stored thereon that are executable to cause a computing system to: receive (i) historical response data indicating a plurality of past responses to instances of a given abnormal-condition indicator for one or more assets, wherein the given abnormal-condition indicator indicates an occurrence of a given abnormal condition at an asset, and (ii) historical conditions data indicating values of at least one given condition impacting asset operation at the time of the respective occurrences of the given abnormal condition at the one or more assets; based on the historical response data and the historical conditions data, identify a relationship between responses to the given abnormal-condition indicator and values of the at least one given condition impacting asset operation; receive, for a given asset, (i) operating data indicating a given occurrence of the given abnormal condition at the given asset, wherein the operating data is associated with a given instance of the given abnormal-condition indicator, and (ii) conditions data indicating a value of the at least one given condition at the time of the given occurrence of the given abnormal condition at the given asset; and based on (i) the received operating data and (ii) the received conditions data, handle the given instance of the given abnormal-condition indicator in accordance with the determined relationship. 11 . The non-transitory computer-readable medium of claim 10 , wherein the determined relationship indicates that the given abnormal-condition indicator is ignored or disregarded when a value of the at least one given condition satisfies given criteria. 12 . The non-transitory computer-readable medium of claim 11 , wherein handling the given instance of the given abnormal-condition indicator in accordance with the determined relationship comprises causing the given instance of the given abnormal-condition indicator to be suppressed if the value of the at least one given condition satisfies the given criteria. 13 . The non-transitory computer-readable medium of claim 10 , wherein the at least one given condition comprises an ambient temperature of an asset. 14 . The non-transitory computer-readable medium of claim 10 , wherein the at least one given condition comprises a location of an asset. 15 . The non-transitory computer-readable medium of claim 14 , wherein handling, based on (i) the received operating data and (ii) the received conditions data, the given instance of the given abnormal-condition indicator in accordance with the determined relationship comprises: based on the received conditions data, determining that the location of the given asset at the time of the given occurrence of the given abnormal condition is within a threshold proximity of one or more locations that have a correlation to a given type of response to instances of the given abnormal-condition indicator; and based at least on the determination, handling the given instance of the given abnormal-condition indicator in accordance with the given type of response. 16 . The non-transitory computer-readable medium of claim 15 , wherein the conditions data is first conditions data, and wherein the instructions are further executable to cause the computing system to: after handling the g
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