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公开(公告)号:US11222551B2
公开(公告)日:2022-01-11
申请号:US14987144
申请日:2016-01-04
Applicant: Rockwell Automation Technologies, Inc.
Inventor: Francisco P. Maturana , Bryan N. Siafakas , Andrew R. Stump , Ryan Cahalane , Alexander B. Cherpakov
Abstract: A cloud-based operator training system includes a snapshot management architecture, which provides a hybrid system for generation of control system level scenarios and system-state snapshots, and which can improve the fidelity of a training simulation. By implementing the simulation system on a cloud platform, the system can generate a large and growing set of snapshot files representing various control states and corresponding process states. These files can then be leverage during operator training sessions to yield high fidelity simulated system operation.
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公开(公告)号:US10713307B2
公开(公告)日:2020-07-14
申请号:US15672851
申请日:2017-08-09
Applicant: Rockwell Automation Technologies, Inc.
Inventor: Ronald E. Bliss , Douglas J. Reichard , Scott N. Sandler , Michael J. Pantaleano , Ryan Cahalane , Jonathan D. Walter , Jessica L. Korpela
IPC: G06F16/951 , G06F16/22 , G06F16/2455 , G06F16/25 , H04L29/08 , G06F3/06
Abstract: A multi-platform industrial search system facilitates indexing and searching of plant-wide data residing on multiple different data platforms. The industrial search system automatically inventories industrial devices and other data sources located throughout a plant, and identifies available data items on each data source. The search system indexes the discovered data items in a federated data model that can subsequently be searched to locate data items or tags of interest. The federated data model records references to data items found on different types of data sources, including but not limited to industrial controller programs, human-machine interface applications, data historians, device documentation stores, inventory tracking systems, and other such data sources. The search system can also initiate automated searches of the federated data model in response to detected performance issues and deliver notifications and contextual information to plant personnel.
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公开(公告)号:US10319128B2
公开(公告)日:2019-06-11
申请号:US15391213
申请日:2016-12-27
Applicant: Rockwell Automation Technologies, Inc.
Inventor: Sharon M. Billi-Duran , Christopher W. Como , Edward A. Gray , Kyle K. Reissner , Jonathan D. Walter , Mohit Singhai , Douglas J. Reichard , Scott N. Sandler , Ronald E. Bliss , Michael J. Pantaleano , Ryan Cahalane , Jessica L. Korpela , Bruce T. McCleave, Jr.
Abstract: A industrial visualization system generates augmented reality presentations for rendering on a user's wearable computer as the user traverses an industrial facility. The system can leverage data indexed in a federated data model that unifies plant-wide data from multiple diverse sources under a common namespace. By leveraging the unified plant data and interacting with a wearable computer worn by a user, the augmented reality presentation system provides automation system data, notifications, and proactive guidance to a user via modification of the user's view of his or her immediate surroundings. Such modifications can include superimposing data values or indicators on the user's view of a machine or automation system through the user's wearable computer. The system can customize presentation of this information based on the user's role, location, line of sight, type of wearable device, and/or other contextual information.
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公开(公告)号:US10509396B2
公开(公告)日:2019-12-17
申请号:US15609323
申请日:2017-05-31
Applicant: Rockwell Automation Technologies, Inc.
Inventor: Scott N. Sandler , John Dyck , Michael J. Pantaleano , Edward Alan Hill , Ryan Cahalane , Nancy L. Burnham , Petr Ptacek , Eugene Liberman , David W. Comeau , Jonathan Wise , Michael R. Keller
IPC: G05B19/41 , G05B19/418 , G06Q10/00
Abstract: A layered industrial analytics architecture enables the flow of information from intelligent assets into tools and engines that perform analytics and enable decision-making in substantially real-time. The analytics architecture comprises analytic nodes that are distributed across multiple layers of an industrial enterprise, and includes system features that optimize movement of data across this layered architecture. Each analytic node includes base architectural constructs that host various analytic, data acquisition, and storage elements. These base constructs can operate autonomously, or in conjunction with other instances of base constructs or other elements of the control system. The system design uses a multi-platform compatible implementation that allows the base elements to be deployed on various different computing platforms.
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公开(公告)号:US10387392B2
公开(公告)日:2019-08-20
申请号:US15156823
申请日:2016-05-17
Applicant: Rockwell Automation Technologies, Inc.
Inventor: Ronald E. Bliss , Anthony Carrara , Bruce T. McCleave, Jr. , David P. Rapini , Michael John Pantaleano , Brian Alan Porter , Guangwen Sun , David Robert Curry , Ryan Cahalane
IPC: G06F16/22 , H04L29/08 , G06F16/185 , G06F16/907 , G06F16/955
Abstract: An industrial control program development system allows a user to set metadata attributes for respective data items in the controller that indicate which of the data tags are to be monitored and collected by a separate industrial data historian system. When the industrial controller is deployed on a plant network, the data historian system reads the metadata attributes for the respective data items (e.g., data tags or data logs) defined in the controller and configures itself to collect and store data associated with the subset of data items that have been flagged for data collection. This system mitigates the need to manually configure the data historian with the identities of the data items that are to be monitored and collected for historical or reporting purposes.
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公开(公告)号:US20170337226A1
公开(公告)日:2017-11-23
申请号:US15156823
申请日:2016-05-17
Applicant: Rockwell Automation Technologies, Inc.
Inventor: Ronald E. Bliss , Anthony Carrara , Bruce T. McCleave, JR. , David P. Rapini , Michael John Pantaleano , Brian Alan Porter , Guangwen Sun , David Robert Curry , Ryan Cahalane
CPC classification number: G06F16/22 , G06F16/185 , G06F16/907 , G06F16/955 , H04L67/1097
Abstract: An industrial control program development system allows a user to set metadata attributes for respective data items in the controller that indicate which of the data tags are to be monitored and collected by a separate industrial data historian system. When the industrial controller is deployed on a plant network, the data historian system reads the metadata attributes for the respective data items (e.g., data tags or data logs) defined in the controller and configures itself to collect and store data associated with the subset of data items that have been flagged for data collection. This system mitigates the need to manually configure the data historian with the identities of the data items that are to be monitored and collected for historical or reporting purposes.
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公开(公告)号:US20170300753A1
公开(公告)日:2017-10-19
申请号:US15132376
申请日:2016-04-19
Applicant: Rockwell Automation Technologies, Inc.
Inventor: Sharon M. Billi , Christopher Wayne Como , Edward A. Gray , Kyle Reissner , Jonathan D. Walter , Mohit Singhai , Douglas J. Reichard , Scott N. Sandler , Ronald E. Bliss , Michael John Pantaleano , Ryan Cahalane , Jessica L. Korpela , Bruce T. McCleave
CPC classification number: G06K9/00718 , G06K9/00771 , G06K9/6269 , G06K2209/19 , H04N5/765 , H04N7/181
Abstract: The subject matter disclosed herein relates generally to industrial automation systems, and, more particularly, to collecting video streams from a variety of video devices in an industrial environment, identifying and analyzing potential problems in the industrial environment using the video streams, and presenting the video streams and data associated with the potential problem to appropriate recipients.
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公开(公告)号:US10401839B2
公开(公告)日:2019-09-03
申请号:US15465246
申请日:2017-03-21
Applicant: Rockwell Automation Technologies, Inc.
Inventor: Sharon M. Billi-Duran , Christopher W. Como , Edward A. Gray , Kyle K. Reissner , Jonathan D. Walter , Mohit Singhai , Douglas J. Reichard , Scott N. Sandler , Ronald E. Bliss , Michael J. Pantaleano , Ryan Cahalane , Jessica L. Korpela , Bruce T. McCleave, Jr.
IPC: G05B19/418
Abstract: An industrial workflow tracking and identification system captures optimal employee workflows for addressing maintenance issues or operating industrial systems, and renders these workflows at appropriate times in order to guide operators and maintenance personnel through optimal sequences for carrying out operations or addressing maintenance issues. The system monitors and indexes both plant-wide system data as well as employee behaviors, and identifies correlations between operational outcomes and user workflows. In this way, the system tracks and captures optimal employee workflows for addressing particular maintenance issues, performing certain procedures, or achieving preferred production outcomes. By identifying and recording correlations between observed employee behaviors and production outcomes, the system creates a library of best practices that can be used as a training tool, as well as to provide substantially real-time guidance to maintenance staff and operators in connection with solving a problem or performing a task.
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公开(公告)号:US20190258863A1
公开(公告)日:2019-08-22
申请号:US16403770
申请日:2019-05-06
Applicant: Rockwell Automation Technologies, Inc.
Inventor: Sharon M. Billi , Christopher Wayne Como , Edward A. Gray , Kyle Reissner , Jonathan D. Walter , Mohit Singhai , Douglas J. Reichard , Scott N. Sandler , Ronald E. Bliss , Michael John Pantaleano , Ryan Cahalane , Jessica L. Korpela , Bruce T. McCleave
Abstract: The subject matter disclosed herein relates generally to industrial automation systems, and, more particularly, to collecting video streams from a variety of video devices in an industrial environment, identifying and analyzing potential problems in the industrial environment using the video streams, and presenting the video streams and data associated with the potential problem to appropriate recipients.
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公开(公告)号:US20180088566A1
公开(公告)日:2018-03-29
申请号:US15391260
申请日:2016-12-27
Applicant: Rockwell Automation Technologies, Inc.
Inventor: Sharon M. Billi-Duran , Christopher W. Como , Edward A. Gray , Kyle K. Reissner , Jonathan D. Walter , Mohit Singhai , Douglas J. Reichard , Scott N. Sandler , Ronald E. Bliss , Michael J. Pantaleano , Ryan Cahalane , Jessica Korpela , Bruce T. McCleave, JR.
IPC: G05B19/418
CPC classification number: G05B19/41885 , G05B2219/31334 , Y02P90/10 , Y02P90/16 , Y02P90/185 , Y02P90/26 , Y02P90/86
Abstract: An industrial data indexing system facilitates discovery and indexing of plant-wide data residing on multiple different data platforms. The indexing system automatically inventories industrial devices and other data sources located throughout a plant, and identifies available data items on each data source. The indexing system indexes the discovered data items in a federated data model that can subsequently be searched to locate data items or tags of interest. The federated data model records references to data items found on different types of data sources, including but not limited to industrial controller programs, human-machine interface applications, data historians, device documentation stores, inventory tracking systems, and other such data sources. The search system also caches selected portions of the data model to a user's personal device to allow these potions of the model to be accessed locally on the user's device without being online with the higher level indexing system.