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METHODS AND SYSTEMS FOR ADAPTION OF DATA COLLECTION UNDER ANOMALOUS CONDITIONS IN AN INTERNET OF THINGS MINING ENVIRONMENT

  • US 20180284756A1
  • Filed: 05/07/2018
  • Published: 10/04/2018
  • Est. Priority Date: 05/09/2016
  • Status: Active Application
First Claim
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1. A monitoring system for data collection in a mining environment, the system comprising:

  • a data collector communicatively coupled to a plurality of input channels;

    a data storage structured to store a plurality of collector routes and collected data that correspond to the plurality of input channels, wherein the plurality of collector routes each comprise a different data collection routine, and wherein the collected data comprises data provided by a plurality of input sensors, each of the plurality of input sensors operatively coupled to at least one of a plurality of components of a mining process;

    a data acquisition circuit structured to interpret a plurality of detection values from the collected data, each of the plurality of detection values corresponding to at least one of the plurality of input channels; and

    a data analysis circuit structured to analyze the collected data from the plurality of input channels and evaluate a collection routine of the data collector based on the analyzed collected data,wherein the analysis of the collected data reveals an anomalous condition; and

    a data response circuit structured to alter an operational parameter of the mining process based on the anomalous condition.

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