Systems and methods for real-time system monitoring and predictive analysis

• US 7,826,990 B2
• Filed: 02/14/2007
• Issued: 11/02/2010
• Est. Priority Date: 02/14/2006
• Status: Active Grant

• Current Assignee: Power Analytics Corporation (PAC Global, Inc.)
• Original Assignee: EDSA Micro Corporation (PAC Global, Inc.)
• Inventors: Meagher, Kevin, Nasle, Adib, Nasle, Ali
• Primary Examiner(s): Khuu; Cindy H
• Application Number:
  US11/674,994
• Publication Number:
  US 20070192078A1
• Time in Patent Office: 1,357 Days
• Field of Search: 702/85, 702/181, 703/2, 703/13, 703/14, 700/108
• US Class Current: 702/85
• CPC Class Codes: G05B 23/0254 based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
• CPC Class Codes: G05B 23/0297 Reconfiguration of monitoring system, e.g. use of virtual sensors; change monitoring method as a response to monitoring results
• CPC Class Codes: G06F 2111/02 CAD in a network environment, e.g. collaborative CAD or distributed simulation
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30

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.

Claims

1. A system for providing real-time analysis of an electrical system under management, comprising:

a data acquisition component communicatively connected to a sensor configured to provide real-time data output from an element of the electrical system;

a virtual system modeling engine configured to generate predicted data output for the element of the electrical system, wherein the virtual system modeling engine is configured to use a virtual system model to generate the predicted data; 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 engine is 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 engine is configured to generate a virtual system model calibration request and send the request to a calibration engine, wherein the calibration engine is configured to receive the calibration request from the analytics engine and update operational parameters of the virtual system modeling engine and the virtual system model upon receipt of the calibration request.

2. The system for providing real-time analysis of an electrical system under management, as recited in claim 1, further including a virtual system modeling database communicatively coupled with the virtual system modeling engine, the virtual system modeling database configured to store the virtual system model of the electrical system.

3. The system for providing real-time analysis of an electrical system under management, as recited in claim 1, further including a calibration engine communicatively connected to the virtual system modeling engine, the virtual system modeling database, and the analytics engine, the calibration engine configured to receive a calibration request from the analytics engine and update operational parameters of the virtual system modeling engine and the virtual system model upon receipt of the calibration request.

4. The system for providing real-time analysis of an electrical system under management, as recited in claim 1, wherein, if the difference exceeds an alarm condition value, the analytics engine is configured to generate a warning message.

5. The system for providing real-time analysis of an electrical system under management, as recited in claim 4, wherein the analytics engine is further configured to send the warning message to a thin-client terminal in real-time.

6. The system for providing real-time analysis of an electrical system under management, as recited in claim 1, wherein, the set value is a Defined Difference Tolerance (DTT) value for the system.

7. The system for providing real-time analysis of an electrical system under management, as recited in claim 1, wherein, if the difference is less than a set value, the analytics engine is configured to continue monitoring the real-time data output and the predictive data output.

8. The system for providing real-time analysis of an electrical system under management, as recited in claim 1, wherein, the analytics engine is further configured to generate a predictive analysis report for the electrical system.

9. The system for providing real-time analysis of an electrical system under management, as recited in claim 8, wherein, the predictive analysis report is indicative of reliability and availability of the electrical system.

10. The system for providing real-time analysis of an electrical system under management, as recited in claim 1, wherein the real-time output data includes operational voltage information.

11. The system for providing real-time analysis of an electrical system under management, as recited in claim 1, wherein the real-time output data includes operational current information.

12. The system for providing real-time analysis of an electrical system under management, as recited in claim 1, wherein the analytics engine comprises a comparison engine configured to compare the real-time data with the predicted data and detect deviations between the two.

13. The system for providing real-time analysis of an electrical system under management, as recited in claim 12, wherein the analytics engine further comprises a decision engine configured to receive the deviations and determine whether the deviations are significant.

14. A system for providing real-time modeling of an electrical system, comprising:

a data acquisition component communicatively connected to a sensor configured to provide real-time measurements of data output from an element of the electrical system;

a virtual system modeling engine configured to generate predicted data output for the element of the electrical system;

a virtual system modeling database configured to store a virtual system model of the electrical system;

an analytics engine communicatively connected to the data acquisition system and the virtual system modeling engine, the analytics engine configured to monitor and determine a difference between the real-time data output and the predicted data output, wherein, if the difference exceeds an alarm condition value, the analytics engine generates a warning message,

if the difference is less than the alarm condition value but greater than a set value, the analytics engine generates a virtual system model calibration request, and

if the difference is less than the set value, the analytics engine continues monitoring the real-time data output and the predictive data output; and

a calibration engine communicatively connected to the data acquisition component, the virtual system modeling engine, the virtual system modeling database, and the analytics engine, the calibration engine configured to receive the calibration request from the analytics engine and update operational parameters of the virtual system modeling engine and the virtual system model upon receipt of the calibration request.

15. The system for providing real-time modeling of an electrical system, as recited in claim 14, wherein, the analytics engine is further configured to generate a predictive analysis report for the electrical system.

16. The system for providing real-time modeling of an electrical system, as recited in claim 15, wherein, the predictive analysis report relates to reliability and availability of the electrical system.

17. A system for providing real-time modeling of an electrical system, comprising:

a data acquisition component communicatively connected to sensors configured to provide real-time data of ambient environmental conditions impacting the electrical system;

a virtual system modeling database configured to store a virtual system model of the electrical system, wherein the virtual system model includes preset values for the environmental conditions impacting the electrical system;

an analytics engine communicatively connected to the data acquisition component and the virtual system modeling database, the analytics engine configured to monitor and determine a difference between the real-time ambient environmental data and the preset environmental values, wherein, if the difference exceeds an alarm condition value, the analytics engine generates a warning message, if the difference is less than the alarm condition value but greater than a set value, the analytics engine generates a virtual system model calibration request, and if the difference is less than the set value, the analytics engine continues monitoring the real-time ambient environmental data and the preset environmental values; and

a calibration engine communicatively connected to the data acquisition component, the virtual system modeling database, and the analytics engine, the calibration engine configured to receive the calibration request from the analytics engine and update the preset environmental values upon receipt of the calibration request.

18. The system for providing real-time modeling of an electrical system, as recited in claim 17, wherein, the analytics engine is further configured to generate a predictive analysis report for the electrical system.

19. The system for providing real-time modeling of an electrical system, as recited in claim 18, wherein, the predictive analysis report relates to reliability and availability of the electrical system.

20. A system for providing real-time modeling of a monitored system, comprising:

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;

a virtual system modeling database configured to store a virtual system model of the monitored system;

an analytics engine communicatively connected to the data acquisition system and the virtual system modeling engine, the analytics engine configured to monitor and determine a difference between the real-time data output and the predicted data output, wherein,

if the difference exceeds an alarm condition value, the analytics engine generates a warning message, if the difference is less than the alarm condition value but greater than a set value, the analytics engine generates a virtual system model calibration request, and if the difference is less than the set value, the analytics engine continues monitoring the real-time data output and the predictive data output; and

a calibration engine communicatively connected to the data acquisition component, the virtual system modeling engine, the virtual system modeling database, and the analytics engine, the calibration engine configured to receive the calibration request from the analytics engine and update operational parameters of the virtual system modeling engine and the virtual system model upon receipt of the calibration request.

21. A system for providing real-time modeling of a monitored system, comprising:

a data acquisition component communicatively connected to sensors configured to provide real-time data of ambient environmental conditions impacting the monitored system;

a virtual system modeling database configured to store a virtual system model of the monitored system, wherein the virtual system model includes preset values for the environmental conditions impacting the monitored system;

an analytics engine communicatively connected to the data acquisition component and the virtual system modeling engine, the analytics engine configured to monitor and determine a difference between the real-time ambient environmental data and the preset environmental values, wherein,

if the difference exceeds an alarm condition value, the analytics engine generates a warning message, if the difference is less than the alarm condition value but greater than a set value, the analytics engine generates a virtual system model calibration request, and if the difference is less than the set value, the analytics engine continues monitoring the real-time ambient environmental data and the preset environmental values; and

a calibration engine communicatively connected to the data acquisition component, the virtual system modeling database, and the analytics engine, the calibration engine configured to receive the calibration request from the analytics engine and update the preset environmental values upon receipt of the calibration request.