SYSTEMS AND METHODS FOR REAL-TIME SYSTEM MONITORING AND PREDICTIVE ANALYSIS
First Claim
1. A method for real-time system monitoring including a plurality of components, comprising:
- receiving real-time operational data for at least one component within the system;
using a virtual system model to produce predicted operational data for the system;
comparing the real-time system data to the predicted data in order to detect differences between the two;
determining whether the differences indicate a potential failure, andcalibrating the virtual system model based on the real-time operational data if the difference are less than the alarm condition value but greater than a set value.
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Accused Products
Abstract
A system for providing real-time modeling of an electrical system under management is disclosed. The system includes a data acquisition component, a virtual system modeling engine, and an analytics engine. The data acquisition component is communicatively connected to a sensor configured to provide real-time measurements of data output from an element of the system. The virtual system modeling engine is configured to generate a predicted data output for the element. The analytics engine is communicatively connected to the data acquisition system and the virtual system modeling engine and is configured to monitor and analyze a difference between the real-time data output and the predicted data output.
42 Citations
38 Claims
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1. A method for real-time system monitoring including a plurality of components, comprising:
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receiving real-time operational data for at least one component within the system; using a virtual system model to produce predicted operational data for the system; comparing the real-time system data to the predicted data in order to detect differences between the two; determining whether the differences indicate a potential failure, and calibrating the virtual system model based on the real-time operational data if the difference are less than the alarm condition value but greater than a set value. - View Dependent Claims (2, 3, 4)
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5. A data processing system for real-time monitoring and predictive analysis of an electrical system under management, comprising:
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a calibration and synchronization engine configured to process real-time data indicative of the electrical system status and update a virtual system model of the electrical system in response to the real-time data; and an analytics server configured to compare the processed real-time data indicative of the electrical system status with predicted data generated using the updated virtual system model and produce a real-time report of the electrical system status in response to the comparison, wherein the analytics server is further configured to cause the virtual system model to be calibrated based on the real-time data if a difference between the real-time data and the predicted data is less than an alarm condition value but greater than a set value by generating a virtual system model calibration request and sending the request to the calibration and synchronization engine. - View Dependent Claims (6, 7, 8, 9, 10, 11, 12, 13)
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14. A method for real-time monitoring and predictive analysis of an electrical system under management, comprising:
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processing real-time data indicative of the electrical system status to enable a virtual model of the electrical system under management to be calibrated and synchronized with the real-time data and to generate predicted data for the electrical system; analyzing a difference between the real-time data and the predicted data; updating the virtual model of the electrical system under management in response to the real-time data to calibrate the virtual model if a difference between the real-time data and the predicted data is less than an alarm condition value but greater than a set value; and comparing the processed real-time data indicative of the electrical system status with corresponding output values of the updated virtual model to generate a real-time report of the electrical system status in response to the comparison. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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21. A method for managing real-time updates to a virtual system model of an electrical system, comprising:
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receiving real-time data output from a sensor interfaced with the electrical system; processing the real-time data output into a defined format; generating predicted system data for the electrical system using a virtual system model of the electrical system; determining whether a difference between the real-time data output and the predicted system data falls between a set value and an alarm condition value, wherein, if the difference falls between the set value and the alarm condition value, a virtual system model calibration request is generated to calibrate the virtual system model based on the real-time data output. - View Dependent Claims (22, 23, 24, 25, 26, 27)
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28. A method for synchronizing real-time system data with a virtual system model of an electrical system, comprising:
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receiving a virtual system model calibration request to calibrate the virtual system model based on the real-time system data, wherein a virtual system model request is generated when the difference between the real-time system data and predicted data generated using the virtual system model is less than an alarm condition value but greater than a set value; updating a predicted system output value for the virtual system model with a real-time system output value from the electrical system; determining a difference between a real-time sensor value measurement from a sensor integrated with the electrical system and a predicted sensor value for the sensor; and adjusting operating parameters of the virtual system model to calibrate the virtual system model to minimize the difference. - View Dependent Claims (29, 30, 31, 32)
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33. A system for providing real-time modeling of a monitored system, comprising:
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a data acquisition component communicatively connected to a sensor configured to provide real-time measurements of data output from an element of the monitored system; a virtual system modeling engine configured to generate predicted data output for the element of the monitored system using a virtual system model; and an analytics engine communicatively connected to the data acquisition system and the virtual system modeling engine, the analytics engine configured to monitor and analyze a difference between the real-time data output and the predicted data output, wherein the analytics server is further configured to cause the virtual system model to be calibrated based on the real-time data, and wherein, if the difference is less than an alarm condition value but greater than a set value, the analytics server is configured to generate a virtual system model calibration request and send the request to a calibration engine. - View Dependent Claims (34)
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35. A data processing system for real-time monitoring and predictive analysis of a monitored system, comprising:
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a calibration and synchronization engine configured to process real-time data indicative of the monitored system status and update a virtual model of the monitored system in response to the real-time data; and an analysis server configured to compare the processed real-time data indicative of the monitored system status with predicted data generated using the updated virtual model and produce a real-time report of the monitored system status in response to the comparison.
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36. A method for real-time monitoring and predictive analysis of a monitored system, comprising:
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processing real-time data indicative of the monitored system status to enable a virtual model of the monitored system under management to be calibrated and synchronized with the real-time data; updating the virtual model of the monitored system in response to the real-time data; and comparing the processed real-time data indicative of the monitored system status with corresponding output values of the updated virtual model to generate a real-time report of the system status in response to the comparison.
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37. A method for managing real-time updates to a virtual system model of a monitored system, comprising:
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receiving real-time data output from a sensor interfaced with the monitored system; processing the real-time data output into a defined format; generating predicted system data for the electrical system using a virtual system model of the monitored system; determining whether a difference between the real-time data output and the predicted system data falls between a set value and an alarm condition value, wherein, if the difference falls between the set value and the alarm condition value, a virtual system model calibration request is generated.
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38. A method for synchronizing real-time system data with a virtual system model of a monitored system, comprising:
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receiving a virtual system model calibration request to calibrate the virtual system model based on the real-time system data, wherein a virtual system model request is generated when the difference between the real-time system data and predicted data generated using the virtual system model is less than an alarm condition value but greater than a set value; updating a predicted system output value for the virtual system model with a real-time system output value from the monitored system; determining a difference between a real-time sensor value measurement from a sensor integrated with the electrical system and a predicted sensor value for the sensor; and adjusting operating parameters of the virtual system model to calibrate the virtual system model to minimize the difference.
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Specification