Systems and methods for alarm filtering and management within a real-time data acquisition and monitoring environment
First Claim
1. A method for filtering and interpreting real-time sensory data from an electrical system, the method comprising, by at least one hardware processor:
- receiving real-time data from a plurality of sensors interfaced with components of an electrical system;
generating predicted data using a virtual system model of the electrical system, the virtual system model comprising virtual components corresponding to the components of the electrical system;
determining a difference between the real-time data and the predicted data;
if the difference does not exceed a tolerance threshold value, not updating the virtual components of the virtual system model;
if the difference exceeds the tolerance threshold value but does not exceed an alarm threshold value which is greater than the tolerance threshold value, updating the virtual components of the virtual system model in real time based on the real-time data; and
,if the difference exceed the alarm threshold value, not updating the virtual components of the virtual system model, and communicating an alarm condition.
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Accused Products
Abstract
A system for filtering and interpreting real-time sensory data from an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics server is comprised of a virtual system modeling engine, an analytics engine, and a decision engine. The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-time data output and predicted data output of the electrical system. The decision engine compares the real-time data output against the predicted data output to filter out and interpret indicia of electrical system health and performance. The client terminal is communicatively connected to the power analytics server and configured to display the filtered and interpreted indicia.
101 Citations
20 Claims
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1. A method for filtering and interpreting real-time sensory data from an electrical system, the method comprising, by at least one hardware processor:
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receiving real-time data from a plurality of sensors interfaced with components of an electrical system; generating predicted data using a virtual system model of the electrical system, the virtual system model comprising virtual components corresponding to the components of the electrical system; determining a difference between the real-time data and the predicted data; if the difference does not exceed a tolerance threshold value, not updating the virtual components of the virtual system model; if the difference exceeds the tolerance threshold value but does not exceed an alarm threshold value which is greater than the tolerance threshold value, updating the virtual components of the virtual system model in real time based on the real-time data; and
,if the difference exceed the alarm threshold value, not updating the virtual components of the virtual system model, and communicating an alarm condition. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A system for filtering and interpreting real-time sensory data from an electrical system, the system comprising an analytics server comprising at least one hardware processor that:
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receives real-time data from a plurality of sensors interfaced with components of an electrical system; generates predicted data using a virtual system model of the electrical system, the virtual system model comprising virtual components corresponding to components of the electrical system; determines a difference between the real-time data and the predicted data; if the difference does not exceed a tolerance threshold value, does not update the virtual components of the virtual system model; if the difference exceeds the tolerance threshold value but does not exceed an alarm threshold value which is greater than the tolerance threshold value, updates the virtual components of the virtual system model in real time based on the real-time data; and
,if the difference exceeds the alarm threshold value, does not update the virtual components of the virtual system model, and communicates an alarm condition. - View Dependent Claims (17, 18, 19, 20)
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Specification