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Contextualization of industrial data at the device level

An industrial device and industrial data technology, applied in data processing applications, energy industry, sustainable manufacturing/processing, etc., can solve problems such as analysis processing and data storage waste

Pending Publication Date: 2021-03-30
ROCKWELL AUTOMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Applying this human expertise to the analytical results at the back end of the analytical processing by submitting the results produced by the AI ​​analysis to industry experts for inspection or verification results in a large amount of analytical processing and data storage being wasted on producing spurious results

Method used

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  • Contextualization of industrial data at the device level
  • Contextualization of industrial data at the device level
  • Contextualization of industrial data at the device level

Examples

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Embodiment Construction

[0033] The subject 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. It may be evident, however, that the subject disclosure may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form to facilitate descriptions thereof.

[0034]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 component may be, but is not...

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PUM

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Abstract

The disclosure relates to contextualization of industrial data at the device level. An 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 provided to higher level systems together with their corresponding data tag values to high level analytic systems, which discovers insights into an industrial process or machine based on analysis of the data and its modeling data.

Description

technical field [0001] The subject matter disclosed herein relates generally to industrial automation systems and, for example, to applying analytics to extract business value from industrial data. Background technique [0002] A given industrial enterprise may include many 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 diverse Actionable insights for industrial processes and machines. Artificial intelligence (AI) and machine learning hold great promise for extracting insights from industrial big data. These analytical methods can discover patterns in the data that can be exploited to predict machine failures and identify other useful correlations between industrial data. As a plant's equipment ages, the discovery o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00G06K9/62
CPCG06N20/00G06F18/23G06F18/24G06Q10/063G06Q10/0631G06Q10/0637Y02P90/80H04W4/38G05B19/4183G06K19/07758
Inventor 比詹·萨亚尔罗德萨里迈克尔·潘塔莱亚诺卡·H·林于尔根·K·魏因霍费尔安德鲁·J·埃利斯凯尔·克拉姆苏吉特·昌德大卫·瓦什科苏比安·戈文达拉杰
Owner ROCKWELL AUTOMATION TECH
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