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

• US 8,155,908 B2
• Filed: 04/13/2010
• Issued: 04/10/2012
• Est. Priority Date: 02/14/2006
• Status: Active Grant

• Current Assignee: Bentley Systems Incorporated
• Original Assignee: Power Analytics Corporation (PAC Global, Inc.)
• Inventors: Nasle, Adib, Nasle, Ali, Meagher, Kevin
• Primary Examiner(s): Khuu, Cindy H
• Application Number:
  US12/759,061
• Publication Number:
  US 20100262411A1
• Time in Patent Office: 728 Days
• Field of Search: 702/85
• 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 data processing system for real-time monitoring and predictive analysis of an electrical system under management, comprising:

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 a virtual system model calibration request; and

an analytics server configured to

determine a difference between the processed real-time data indicative of the electrical system status and predicted data generated using the virtual system model,

produce a real-time report of the electrical system status in response to the determination,

if the difference-is less than an alarm condition value but greater than a set value,

generate a virtual system model calibration request, and

send the request to the calibration and synchronization engine, and

if the difference is greater than the alarm condition value, generate an alarm and prevent updates to the virtual system model.

2. The data processing system for real-time monitoring and predictive analysis of an electrical system under management, as recited in claim 1, wherein the real-time report relates to reliability and availability of the electrical system under management.

3. The data processing system for real-time monitoring and predictive analysis of an electrical system under management, as recited in claim 2, wherein the real-time report is displayed on a thin-client computing device communicatively connected to the analysis server.

4. The data processing system for real-time monitoring and predictive analysis of an electrical system under management, as recited in claim 1, wherein the real-time report relates to capacity and voltage stability of electrical distribution lines of the electrical system.

5. The data processing system for real-time monitoring and predictive analysis of an electrical system under management, as recited in claim 1, wherein the real-time report relates to power flow and loading of electrical distribution lines of the electrical system.

6. The data processing system for real-time monitoring and predictive analysis of an electrical system under management, as recited in claim 1, wherein the real-time report relates to dynamic behavior response and strength of the electrical system as a function of system exposure to external conditions.

7. The data processing system for real-time monitoring and predictive analysis of an electrical system under management, as recited in claim 1, wherein the real-time report relates to arc flash energy and arc heat exposure.

8. The data processing system for real-time monitoring and predictive analysis of an electrical system under management, as recited in claim 1, wherein the analytics server receives data from a plurality of system sensors providing real-time data relating to components of the electrical system.

9. The data processing system for real-time monitoring and predictive analysis of an electrical system under management, as recited in claim 8, wherein the analytics server receives data from a virtual model database that provides values that relate to the virtual model and that correspond to the real-time data received from the system sensors.

10. A method for real-time monitoring and predictive analysis of an electrical system under management, comprising:

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;

producing a real-time report of the electrical system status in response to the analysis;

if the difference is less than an alarm condition value but greater than a set value, updating the virtual model of the electrical system under management in response to the real-time data to calibrate the virtual model,

if the difference is greater than the alarm condition value, generating an alarm and preventing updates to the virtual model.

11. The method for real-time monitoring and predictive analysis of an electrical system under management, as recited in claim 10, wherein the real-time report relates to reliability and availability of the electrical system.

12. The method for real-time monitoring and predictive analysis of an electrical system under management, as recited in claim 10, the real-time report relates to capacity and voltage stability of electrical distribution lines of the electrical system.

13. The method for real-time monitoring and predictive analysis of an electrical system under management, as recited in claim 10, wherein the real-time report is displayed on a thin-client computing device.

14. The method for real-time monitoring and predictive analysis of an electrical system under management, as recited in claim 10, wherein the real-time report relates to power flow and loading of electrical distribution lines of the electrical system.

15. The method for real-time monitoring and predictive analysis of an electrical system under management, as recited in claim 10, wherein the real-time report relates to dynamic behavior response and strength of the electrical system as a function of system exposure to external conditions.

16. The method for real-time monitoring and predictive analysis of an electrical system under management, as recited in claim 10, wherein the real-time report relates to arc flash energy and arc heat exposure.

17. A data processing system for real-time monitoring and predictive analysis of a monitored system, comprising:

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 a virtual model calibration request; and

an analysis server configured to

determine a difference between the processed real-time data indicative of the monitored system status and predicted data generated using the virtual model,

if the difference is less than an alarm condition value but greater than a set value, generate a virtual model calibration request and send the request to the calibration and synchronization engine, and

if the difference is greater than the alarm condition value, generate an alarm and prevent updates to the virtual model.

18. A method for real-time monitoring and predictive analysis of a monitored system, comprising:

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;

determining a difference between the processed real-time data indicative of the monitored system status and corresponding output values of the virtual model;

if the difference is less than an alarm condition value but greater than a set value, updating the virtual model; and

if the difference is greater than the alarm condition value, generating an alarm and preventing updates to the virtual model.