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Multi-core processor for performing energy-related operations in an industrial automation system using energy information determined with an organizational model of the industrial automation system

  • US 9,501,804 B2
  • Filed: 03/15/2013
  • Issued: 11/22/2016
  • Est. Priority Date: 03/15/2013
  • Status: Active Grant
First Claim
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1. A multi-core processor, comprising:

  • a first core configured to;

    receive energy data associated with one or more assets in an automation system;

    receive organizational model data associated with the automation system, wherein the organizational model data comprises a hierarchical structure of a plurality of production processes associated with the automation system, wherein the one or more assets of the automation system are represented within the hierarchical structure according to a functional view with respect to the plurality of production processes; and

    generate one or more energy reports based on a relationship between the energy data and the organizational model data, wherein the one or more energy reports comprise structured energy data comprising a logical grouping of the one or more assets in the automation system with respect to the organizational model data;

    determine peak energy demand for each logical grouping of the one or more assets based on structured energy; and

    a second core configured to;

    receive the structured energy data and the peak energy demand from the first core;

    identify one or more idle periods of the one or more assets during the period of time based on the structured energy data;

    send a first set of commands to the one or more assets to adjust operations of the one or more assets based on the peak energy demand; and

    send a second set of commands to the one or more assets to enter a reduced power consumption mode during the idle periods;

    a third core configured to;

    receive the structured energy data from the first core;

    determine an asset that should be powered down due to a safety reason;

    determine a device that provides energy to the asset that should be powered down based on the structured energy data;

    send commands to the device to power down;

    wherein the processes of the cores are performed in parallel.

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