METHOD FOR PREDICTING SYMMETRIC, AUTOMATED, REAL-TIME ARC FLASH ENERGY WITHIN A REAL-TIME MONITORING SYSTEM

• US 20130311162A1
• Filed: 07/23/2013
• Published: 11/21/2013
• Est. Priority Date: 07/18/2008
• Status: Abandoned Application

• Current Assignee: WaveTech Global Inc.
• Original Assignee: WaveTech Global Inc.
• Inventors: Radibratovic, Branislav, Meagher, Kevin
• Application Number:
  US13/948,317
• Publication Number:
  US 20130311162A1
• Time in Patent Office: Days
• US Class Current: 703/18
• CPC Class Codes: G05B 17/02 electric
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: G06N 5/04 Inference or reasoning models

Abstract

A system for making real-time predictions about an arc flash event on an electrical system comprises a data acquisition component communicatively connected to a sensor configured to acquire real-time data output from the electrical system; an analytics server communicatively connected to the data acquisition component and comprising a virtual system modeling engine configured to generate predicted data output for the electrical system using a virtual system model of the electrical system, an analytics engine configured to monitor the real-time data output and the predicted data output of the electrical system, and an arc flash simulation engine configured to use the virtual system model updated based in the real-time data to forecast an aspect of the arc flash event.

Claims

1. A system for making real-time predictions about an arc flash event on an electrical system, comprising:

a data acquisition component communicatively connected to a sensor configured to acquire real-time data output from the electrical system;

an analytics server communicatively connected to the data acquisition component, comprising;

a virtual system modeling engine configured to generate predicted data output for the electrical system using a virtual system model of the electrical system,

an analytics engine configured to monitor the real-time data output and the predicted data output of the electrical system, and

an arc flash simulation engine configured to use the virtual system model updated based in the real-time data to forecast an aspect of the arc flash event.