-
公开(公告)号：US20230136308A1
公开(公告)日：2023-05-04
申请号：US18149292
申请日：2023-01-03
发明人： David E Huffman , Taryl Jasper , Jack Visoky
IPC分类号： H04L41/0816 , H04L9/40
摘要： A model-based industrial security policy configuration system implements a plant-wide industrial asset security policy in accordance with security policy definitions provided by a user. The configuration system models the collection of industrial assets for which diverse security policies are to be implemented. An interface allows the user to define zone-specific security configuration and event management policies for a plant environment at a high-level based on a security model that groups the industrial assets into security zones. Based on the model and these policy definitions, the system generates asset-level security setting instructions configured to set appropriate device settings on one or more of the industrial assets to implement the security event management policies, and deploys these instructions to the appropriate assets in order to implement the defined policies.
-
公开(公告)号：US11640737B2
公开(公告)日：2023-05-02
申请号：US17398869
申请日：2021-08-10
摘要： For secure and safe access control, a method authenticates a user of an equipment unit with a user credential. The method determines an equipment status for the equipment unit. The equipment status includes one of energized and un-energized and one of locked and unlocked. The method determines whether the user is authorized to access the equipment unit with an equipment authorization. The determination that the user is authorized is based on the equipment status. In response to the user being authenticated and authorized to access the equipment unit energized or the user being authorized to access the equipment unit un-energized and the equipment unit being un-energized, the method releases a unit lock for the equipment unit with a unit lock credential and the user credential.
-
公开(公告)号：US20230118414A1
公开(公告)日：2023-04-20
申请号：US18067573
申请日：2022-12-16
发明人： Scott A. Miller , Nathan Reynolds , Christopher Wayne Como , Nathaniel S. Sandler , Ryan P. Dunn , Bruce T. McCleave, JR. , Kyle Reissner , Stephen C. Briant
摘要： An industrial development hub (IDH) supports industrial development and testing capabilities that are offered as a cloud-based service. The IDH comprises an enhanced storage platform and associated design tools that serve as a repository on which customers can store control project code, device configurations, and other digital aspects of an industrial automation project. The IDH system can facilitate discovery and management of digital content associated with control systems, and can be used for system backup and restore, code conversion, and version management.
-
公开(公告)号：US11625024B2
公开(公告)日：2023-04-11
申请号：US16711670
申请日：2019-12-12
发明人： David A. Vasko
IPC分类号： G05B19/418 , G07C9/00 , G06F16/51
摘要： A lockout tagout auditing and guidance system provides a mobile device that can guide an individual to particular tags either to perform the operations required for lockout procedures or to perform an auditing activity. In both cases, images of the tags are obtained and imaged and tag locations compared to corresponding information in the database to assess the existence and clarity of the tags for auditing purposes.
-
公开(公告)号：US20230102717A1
公开(公告)日：2023-03-30
申请号：US17484031
申请日：2021-09-24
发明人： Jordan C. Reynolds , John J. Hagerbaumer , Troy W. Mahr , Thomas K. Jacobsen , Giancarlo Scaturchio
IPC分类号： G05B19/418 , G05B19/05 , G05B23/02 , G06N20/00
摘要： Various embodiments of the present technology generally relate to solutions for integrating machine learning models into industrial automation environments. More specifically, embodiments of the present technology include systems and methods for implementing machine learning models within industrial control code to improve performance, increase productivity, and add capability to existing control programs. In an embodiment, a system comprises an interface component configured to display a graphical representation of a machine learning asset in an industrial automation environment, wherein the graphical representation includes a visual indicator representative of an output from the machine learning asset. The interface component is further configured to adjust the visual indicator based on the output from the machine learning asset. In addition, a process control component is configured to control an industrial process in the industrial automation environment based at least in part on the output from the machine learning asset.
-
公开(公告)号：US20230100475A1
公开(公告)日：2023-03-30
申请号：US17484900
申请日：2021-09-24
发明人： Scott D. Braun , Todd A. Wiese
摘要： A system includes drives that are communicatively coupled to a gateway communication device via single pair Ethernet (SPE) conductors. The gateway communication device may operate as router or a scanner to facilitate communication between the drives and components of an industrial automation system that are accessible via an Ethernet network.
-
公开(公告)号：US20230098504A1
公开(公告)日：2023-03-30
申请号：US17449479
申请日：2021-09-30
发明人： Roberto S. Marques , Yutao Wang , William H. Martin , Chirag L. Malkan , Mason Khan , Steven T. Haensgen
IPC分类号： G05B19/418 , H04L12/10
摘要： A multidrop system configured to be installed within a motor control center (MCC) of an industrial automation system includes a trunkline. The trunkline includes multiple multidrop make and break devices connected through a trunkline cable. Each of the multidrop make and break device includes a first network component, and a second network component. The first network component is configured to form a first subnet over the trunkline. The second network component is configured to couple a MCC withdrawable unit and form a second subnet over a branchline that connects one or more nodes within the MCC withdrawable unit. The multidrop make and break device is configured to couple the MCC withdrawable unit to, and decouple the MCC withdrawable unit from, the second network component without disrupting the first subnet.
-
公开(公告)号：US20230097885A1
公开(公告)日：2023-03-30
申请号：US17484461
申请日：2021-09-24
发明人： Jordan C. Reynolds , John J. Hagerbaumer , Troy W. Mahr , Thomas K. Jacobsen , Giancarlo Scaturchio
摘要： Various embodiments of the present technology generally relate to solutions for integrating machine learning models into industrial automation environments. More specifically, embodiments of the present technology include systems and methods for implementing machine learning models within industrial control code to improve performance, increase productivity, and add capability to existing control programs. In an embodiment, a system comprises: a storage component configured to maintain a set of model control schemes for controlling an industrial process, a control component configured to control the industrial process with a control program running a model control scheme, wherein the model control scheme is configured to optimize a first parameter of the industrial process, and a model management component configured to change the model control scheme to optimize a second parameter of the industrial process that is distinct from the first parameter.
-
9.发明申请公开(公告)号：US20230097533A1
公开(公告)日：2023-03-30
申请号：US17484691
申请日：2021-09-24
发明人： Jordan C. Reynolds , John J. Hagerbaumer , Troy W. Mahr , Jeffrey S. Sperling , Thomas K. Jacobsen , Giancarlo Scaturchio
IPC分类号： G05B19/418 , G06N20/20
摘要： Various embodiments of the present technology generally relate to solutions for integrating machine learning models into industrial automation environments. More specifically, embodiments include systems and methods for implementing machine learning models within industrial control code to improve performance, increase productivity, and add capability to existing programs. In an embodiment, a system comprises: a control component configured to run a closed-loop industrial process comprises a first machine learning model; a measurement component configured to measure a gap between outcome data predicted by the first machine learning model and actual outcome data; a determination component configured to determine, based on the gap, that the first machine learning model has degraded; and a management component configured to replace the first machine learning model with a second machine learning model, wherein the second machine learning model is trained based at least in part on the actual outcome data.
-
公开(公告)号：US20230097452A1
公开(公告)日：2023-03-30
申请号：US17449598
申请日：2021-09-30
IPC分类号： H04L1/22 , H04L61/2517 , H04L41/12
摘要： A method for generating a topology view of an industrial parallel redundancy protocol (PRP) network includes: detecting, by one or more processors, a plurality of nodes on the PRP network; determining, by the one or more processors, a first set of the plurality of nodes that connects to a first local area network (LAN); determining, by the one or more processors, a second set of the plurality of nodes that connects to a second LAN; determining, by the one or more processors, connections between the plurality of nodes; and generating, by the one or more processors, the topology view of the PRP network comprising a topology view of the first LAN and the second LAN according to the determined connections.
-
-
-
-
-
-
-
-
-
搜索结果
3859 条记录 (耗时 0.045 秒)