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

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;
• and
• determining whether the differences indicate a potential failure.

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.

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 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.

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;
• updating the virtual model of the electrical system under management in response to the real-time data;
• 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.

A method for managing real-time updates to a virtual system model of an electrical system, comprising:

• 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.

A method for synchronizing real-time system data with a virtual system model of an electrical system, comprising:

• receiving a virtual system model calibration request;
• 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 minimize the difference.

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;
• 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.

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.

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.

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;
• 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.

A method for managing real-time updates to a virtual system model of a monitored system, comprising:

• 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.

A method for synchronizing real-time system data with a virtual system model of a monitored system, comprising:

• receiving a virtual system model calibration request;
• 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 minimize the difference.