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Predictive maintenance for industrial products using big data

A technology of industry and industrial data, applied in the field of predictive maintenance of industrial systems, can solve problems such as unawareness

Active Publication Date: 2014-11-12
ROCKWELL AUTOMATION TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] Additionally, because industrial systems typically evolve over long periods of time integrating newer assets to operate in conjunction with older, pre-existing equipment, system integrators may not realize the importance of larger industrial systems that include equipment and assets. Specific combinations of equipment and assets can be reconfigured for more optimal operations

Method used

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  • Predictive maintenance for industrial products using big data
  • Predictive maintenance for industrial products using big data
  • Predictive maintenance for industrial products using big data

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[0032] 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 thereof. 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 in order to facilitate descriptions thereof.

[0033] As used herein, the terms "component", "system", "platform", "layer", "controller", "terminal", "station", "node", "interface" are intended to refer to computer-related entities Or an entity related to or a part of an operating device with one or more specific functionalities, wherein such an entity may be hardware, a combination of hardware and software, software, or executed software. For example, a component may be, but is no...

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Abstract

A cloud-based predictive maintenance service collects industrial data from multiple industrial customers for storage and analysis on a cloud platform. The service analyzes data gathered from multiple customers across different industries to identify operational trends as a function of industry type, application type, equipment in use, device configurations, and other such variables. Based on results of the analysis, the predictive maintenance service predicts anticipated device failures or system inefficiencies for individual customers. Notification services alert the customers of impending failures or inefficiencies before the issues become critical. The cloud-based notification services also notify appropriate technical support entities to facilitate proactive maintenance and device management.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to US Provisional Patent Application No. 61 / 821,639, filed May 9, 2013, entitled "REMOTE SERVICES AND ASSET MANAGEMENT SYSTEMS AND METHODS." technical field [0003] The subject application relates to industrial automation in general and, in particular, to predictive maintenance of industrial systems using big data analytics on cloud platforms. Background technique [0004] Industrial controllers and their associated I / O devices are at the heart of the operation of modern automation systems. These controllers interact with field devices on the factory floor to control automated processes related to such purposes as product manufacturing, material handling, batch processing, supervisory control, and other such applications. Industrial controllers store and execute user-defined control programs to affect decisions related to the controlled process. Such programs may include, but are not...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/418
CPCG06Q10/06G05B13/026Y02P90/80
Inventor 胡安·L·安森约约翰·斯特罗门格斯蒂芬·托马斯·纳瓦拉尼耶克布拉德福德·亨利·埃格拉特约瑟夫·A·哈尔库利希杰西卡·林·科尔佩拉珍妮弗·里德伯·赖特赖纳·赫斯梅尔约翰·迪克爱德华·艾伦·希尔萨尔瓦托雷·T·康蒂
Owner ROCKWELL AUTOMATION TECH
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