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CORRELATION AND PREDICTION ANALYSIS OF COLLECTED DATA

  • US 20160034329A1
  • Filed: 08/01/2014
  • Published: 02/04/2016
  • Est. Priority Date: 07/31/2014
  • Status: Abandoned Application
First Claim
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1. A method for managing sensor data, comprising:

  • employing a collection computer to automatically detect and monitor each of a plurality of sensors that is currently providing real-time data regarding at least one characteristic of a first machine, wherein the collection computer is coupled to the first machine and in communication with a remotely located server computer, and wherein the collection computer provides the real-time data for each of the plurality of detected sensors to the server computer;

    automatically generating a template for the first machine based on one or more types of the plurality of sensors detected by the collection computer, wherein the template includes a plurality of predetermined visualizations for one or more of the detected sensors;

    employing the server computer to determine a pattern in the provided real-time data that equates to another pattern identified in real-time data for another plurality of sensors that was previously provided to the server computer, wherein the other plurality of sensors provide real-time data regarding at least one characteristic of a second machine that equates to real-time data regarding the at least one characteristic of the first machine;

    employing a comparison of the pattern and the other pattern to identify at least one event that previously occurred at the second machine, wherein a positive comparison is employed as a prediction that the event corresponding to the second machine is likely to happen to the first machine; and

    alerting at least one user of the first machine of the prediction, wherein the alert includes at least one recommendation to either prevent or resolve an occurrence of the event at the first machine.

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