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Industrial device, method, and non-transitory computer readable medium

An industrial device and industrial control technology, applied in computing, energy industry, comprehensive factory control, etc., can solve problems such as large data storage capacity

Pending Publication Date: 2022-02-18
ROCKWELL AUTOMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Considering the large amount of data generated by industrial enterprises, this method also requires considerable data storage capacity

Method used

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  • Industrial device, method, and non-transitory computer readable medium
  • Industrial device, method, and non-transitory computer readable medium
  • Industrial device, method, and non-transitory computer readable medium

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Embodiment Construction

[0041] The present disclosure is now described with reference to the drawings, wherein like reference numerals are used to refer to like elements throughout. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure. It is, however, evident that this disclosure may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to facilitate their description.

[0042]As used in this application, the terms "component", "system", "platform", "layer", "controller", "terminal", "station", "node", "interface" are intended to refer to A computer-related entity, or an entity relating to or being part of an operating device having one or more specific functions, where such an entity may be hardware, a combination of hardware and software, software, or an executing software. For example, a compone...

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PUM

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Abstract

The invention provides an industrial device, a method, and a non-transitory computer readable medium. The industrial device supports device-level data modeling that pre-models data stored in the device with known relationships, correlations, key variable identifiers, and other such metadata to assist higher-level analytic systems to more quickly and accurately converge to actionable insights relative to a defined business or analytic objective. Data at the device level can be modeled according to modeling templates stored on the device that define relationships between items of device data for respective analytic goals (e.g., improvement of product quality, maximizing product throughput, optimizing energy consumption, etc.). This device-level modeling data can be exposed to higher level systems for creation of analytic models that can be used to analyze data from the industrial device relative to desired business objectives.

Description

technical field [0001] The subject matter disclosed herein relates generally to industrial automation systems and, for example, to the application of analytics to extract business value from industrial data. Background technique [0002] A given industrial enterprise may include many of these industrial assets that generate large amounts of information during plant operations. With the advent of big data storage and analysis methods, it is possible to continually stream data from these disparate industrial data sources to big data storage devices (e.g., data lakes) and transform these large and Actionable insights for industrial processes and machines. Artificial intelligence (AI) and machine learning hold great promise for extracting insights from industrial big data. [0003] Although data streams from industrial data sources can be used to aggregate very large data sets to which analytics (e.g., AI, machine learning, data science, etc.) The costs associated with storin...

Claims

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Application Information

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IPC IPC(8): G05B19/418
CPCG05B19/4185G05B2219/31088G06Q10/063Y02P80/10Y02P90/80Y02P90/845G05B19/41835G05B2219/32043G05B2219/33034G06Q10/06395
Inventor 比詹·萨亚尔罗德萨里苏比安·戈文达拉杰大卫·A·维斯科于尔根·魏因霍费尔安德鲁·詹姆斯·埃利斯林嘉庆迈克尔·潘塔莱亚诺苏吉特·昌德凯尔·A·克拉姆
Owner ROCKWELL AUTOMATION TECH
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