Systems and methods for real-time system monitoring and predictive analysis
View Patent ↗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.
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.