Alarm management
First Claim
Patent Images
1. A system, comprising:
- at least one memory that stores computer-executable instructions;
at least one processor configured to access the at least one memory, wherein the at least one processor is configured to execute the computer-executable instructions to;
receive, from an asset, data associated with a parameter of the asset and store the data in memory;
determine an impact value for the parameter based at least in part on a rule set, wherein the impact value is a numeric value associated with the asset determined based at least in part on a Bayesian belief network (BBN) rule set, a fuzzy logic rule set, or a combination thereof;
analyze the impact value based at least in part on an escalation value rule set; and
in response to analyzing the impact value, prepare the impact value for presentation.
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Abstract
This disclosure describes systems and methods for alarm management. In some embodiments, data associated with a parameter of an asset may be received from an asset and stored in memory. An impact value may be determined for the parameter based at least in part on a rule set. The impact value may be a numeric value associated with the asset and determined based at least in part on a Bayesian belief network (BBN) rule set, a fuzzy logic rule set, or a combination thereof. The impact value may be analyzed based at least in part on an escalation value rule set. In response to analyzing the impact value, the impact value may be prepared for presentation.
36 Citations
20 Claims
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1. A system, comprising:
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at least one memory that stores computer-executable instructions; at least one processor configured to access the at least one memory, wherein the at least one processor is configured to execute the computer-executable instructions to; receive, from an asset, data associated with a parameter of the asset and store the data in memory; determine an impact value for the parameter based at least in part on a rule set, wherein the impact value is a numeric value associated with the asset determined based at least in part on a Bayesian belief network (BBN) rule set, a fuzzy logic rule set, or a combination thereof; analyze the impact value based at least in part on an escalation value rule set; and in response to analyzing the impact value, prepare the impact value for presentation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method, comprising:
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receiving, from an asset, data associated with a parameter of the asset and storing the data in memory; determining an impact value for the parameter based at least in part on a rule set, wherein the impact value is a numeric value associated with the asset determined based at least in part on a Bayesian belief network (BBN) rule set, a fuzzy logic rule set, or a combination thereof; analyzing the impact value based at least in part on an escalation value rule set; and in response to analyzing the impact value, preparing the impact value for presentation. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. One or more computer-readable media storing computer-executable instructions that, when executed by at least one processor, configure the at least one processor to perform operations comprising:
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receiving, from an asset, data associated with a parameter of the asset and storing the data in memory; removing an outlier from the data associated with the parameter of the asset; determining an impact value for the parameter based at least in part on a rule set, wherein the impact value is a numeric value associated with the asset determined based at least in part on a Bayesian belief network (BBN) rule set, a fuzzy logic rule set, or a combination thereof; determining an alarm escalation value for eliminating impact values below a predefined threshold based at least in part on an escalation value rule set; and in response to determining the alarm escalation value, preparing the impact value for presentation. - View Dependent Claims (20)
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Specification