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公开(公告)号：US20140336795A1
公开(公告)日：2014-11-13
申请号：US14088011
申请日：2013-11-22
Applicant: Rockwell Automation Technologies, Inc.
Inventor： Juan L. Asenjo , John Strohmenger , Stephen Thomas Nawalaniec , Bradford Henry Hegrat , Joseph A. Harkulich , Jessica Lin Korpela , Jenifer Rydberg Wright , Rainer Hessmer , John Dyck , Edward Alan Hill , Salvatore T. Conti
IPC: G05B19/408
CPC classification number: G05B19/4083 , G06Q10/06 , Y02P90/86
Abstract: A remote technical support system leverages a cloud platform to automate technical support interactions, facilitating rapid diagnosis and solution of detected performance issues in industrial systems. The technical support system facilitates automated collection of relevant system data from a customer's industrial assets in the event of a detected performance issue requiring involvement of a technical support entity. The relevant system data can be sent to the cloud platform in response to a manual request for support at the plant floor, or automatically in response to detection of a possible device failure or performance issue. The cloud-based remote technical support system then routes the data to a suitable remote support representative, providing the representative with information about customer's industrial system and operations that may be relevant in connection with diagnosing the issue.
Abstract translation: 远程技术支持系统利用云平台自动化技术支持交互，促进工业系统中检测到的性能问题的快速诊断和解决。 如果检测到的性能问题需要技术支持实体参与，则技术支持系统便于从客户的工业资产自动收集相关系统数据。 相应的系统数据可以响应于在车间的手动请求支持而发送到云平台，或者自动响应于可能的设备故障或性能问题的检测。 然后，基于云的远程技术支持系统将数据路由到合适的远程支持代表，为代表提供有关客户工业系统和可能与诊断问题相关的操作的信息。
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公开(公告)号：US20140337277A1
公开(公告)日：2014-11-13
申请号：US14087970
申请日：2013-11-22
Applicant: Rockwell Automation Technologies, Inc.
Inventor： Juan L. Asenjo , John Strohmenger , Stephen Thomas Nawalaniec , Bradford Henry Hegrat , Joseph A. Harkulich , Jessica Lin Korpela , Jenifer Rydberg Wright , Rainer Hessmer , John Dyck , Edward Alan Hill , Salvatore T. Conti
IPC: G06F17/30
CPC classification number: G06F16/283 , G06Q10/06 , Y02P90/86
Abstract: An industrial attestation service executing on a cloud platform collects industrial data from multiple levels of an industrial enterprise and identifies subsets of the industrial data that characterize normal operation. In the cloud platform, baselines are generated for diverse aspects of the industrial enterprise based on the identified subsets, where the baselines characterize normal operation. The baselines are used as a reference in connection with device and system attestation. Aspects of the industrial enterprise that deviate from their corresponding baselines are identified in the cloud platform. Attestation reports indicating aspects of the enterprise that have altered relative to their baselines are delivered to client devices via the cloud platform.
Abstract translation: 在云平台上执行的工业认证服务从工业企业的多个层面收集工业数据，并识别表征正常运行的工业数据子集。 在云平台中，基于确定的子集，基准线表征正常运作，为工业企业的不同方面生成基准。 基线用作与设备和系统认证有关的参考。 在云平台上确定了偏离相应基线的工业企业的各个方面。 指示相对于基线改变的企业方面的认证报告通过云平台发送给客户端设备。
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公开(公告)号：US09954972B2
公开(公告)日：2018-04-24
申请号：US15214583
申请日：2016-07-20
Applicant: Rockwell Automation Technologies, Inc.
Inventor： Juan L. Asenjo , John Strohmenger , Stephen Thomas Nawalaniec , Bradford Henry Hegrat , Joseph A. Harkulich , Jessica Lin Korpela , Jenifer Rydberg Wright , Rainer Hessmer , John Dyck , Edward Alan Hill , Salvatore T. Conti
CPC classification number: H04L67/306 , G06Q10/06 , G06Q10/0637 , H04L65/403 , H04L67/10 , H04L67/22 , Y02P90/86
Abstract: Cloud-aware industrial devices feed robust sets of data to a cloud-based data analyzer that executes as a service in a cloud platform. In addition to industrial data generated or collected by the industrial devices, the devices can provide device profile information to the cloud-based analyzer that identifies the device and relevant configuration information. The industrial devices can also provide customer data identifying an owner of the industrial devices, contact information for the owner, active service contracts, etc. The cloud-based data analyzer leverages this information to perform a variety of custom analytics on the data and generate reports or notifications catered to the particular industrial assets' optimal performance and business goals of the owner's industrial enterprise, as well as perform real-time decision making and control.
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公开(公告)号：US20190188737A1
公开(公告)日：2019-06-20
申请号：US16262153
申请日：2019-01-30
Applicant: Rockwell Automation Technologies, Inc.
Inventor： Juan L. Asenjo , John Strohmenger , Stephen Thomas Nawalaniec , Bradford Henry Hegrat , Joseph A. Harkulich , Jessica Lin Korpela , Jenifer Rydberg Wright , Rainer Hessmer , John Dyck , Edward Alan Hill , Salvatore T. Conti
CPC classification number: G06Q30/0201 , G06F16/258 , G06Q10/06 , G06Q10/0637 , G06Q10/067 , H04L12/66 , H04L65/403 , H04L67/10 , H04L67/1097 , H04L67/22 , H04L67/306 , Y02P90/86
Abstract: Cloud-aware industrial devices feed robust sets of data to a cloud-based data analyzer that executes as a service in a cloud platform. In addition to industrial data generated or collected by the industrial devices, the devices can provide device profile information to the cloud-based analyzer that identifies the device and relevant configuration information. The industrial devices can also provide customer data identifying an owner of the industrial devices, contact information for the owner, active service contracts, etc. The cloud-based data analyzer leverages this information to perform a variety of custom analytics on the data and generate reports or notifications catered to the particular industrial assets' optimal performance and business goals of the owner's industrial enterprise, as well as perform real-time decision making and control.
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公开(公告)号：US10257310B2
公开(公告)日：2019-04-09
申请号：US15923127
申请日：2018-03-16
Applicant: Rockwell Automation Technologies, Inc.
Inventor： Juan L. Asenjo , John Strohmenger , Stephen Thomas Nawalaniec , Bradford Henry Hegrat , Joseph A. Harkulich , Jessica Lin Korpela , Jenifer Rydberg Wright , Rainer Hessmer , John Dyck , Edward Alan Hill , Salvatore T. Conti
Abstract: Cloud-aware industrial devices feed robust sets of data to a cloud-based data analyzer that executes as a service in a cloud platform. In addition to industrial data generated or collected by the industrial devices, the devices can provide device profile information to the cloud-based analyzer that identifies the device and relevant configuration information. The industrial devices can also provide customer data identifying an owner of the industrial devices, contact information for the owner, active service contracts, etc. The cloud-based data analyzer leverages this information to perform a variety of custom analytics on the data and generate reports or notifications catered to the particular industrial assets' optimal performance and business goals of the owner's industrial enterprise, as well as perform real-time decision making and control.
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Patent Agency Ranking
公开(公告)号：US20180205803A1
公开(公告)日：2018-07-19
申请号：US15923127
申请日：2018-03-16
Applicant: Rockwell Automation Technologies, Inc.
Inventor： Juan L. Asenjo , John Strohmenger , Stephen Thomas Nawalaniec , Bradford Henry Hegrat , Joseph A. Harkulich , Jessica Lin Korpela , Jenifer Rydberg Wright , Rainer Hessmer , John Dyck , Edward Alan Hill , Salvatore T. Conti
CPC classification number: H04L67/306 , G06Q10/06 , G06Q10/0637 , H04L65/403 , H04L67/10 , H04L67/22 , Y02P90/86
Abstract: Cloud-aware industrial devices feed robust sets of data to a cloud-based data analyzer that executes as a service in a cloud platform. In addition to industrial data generated or collected by the industrial devices, the devices can provide device profile information to the cloud-based analyzer that identifies the device and relevant configuration information. The industrial devices can also provide customer data identifying an owner of the industrial devices, contact information for the owner, active service contracts, etc. The cloud-based data analyzer leverages this information to perform a variety of custom analytics on the data and generate reports or notifications catered to the particular industrial assets' optimal performance and business goals of the owner's industrial enterprise, as well as perform real-time decision making and control.
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公开(公告)号：US20140337429A1
公开(公告)日：2014-11-13
申请号：US14087873
申请日：2013-11-22
Applicant: Rockwell Automation Technologies, Inc.
Inventor： Juan L. Asenjo , John Strohmenger , Stephen Thomas Nawalaniec , Bradford Henry Hegrat , Joseph A. Harkulich , Jessica Lin Korpela , Jenifer Rydberg Wright , Rainer Hessmer , John Dyck , Edward Alan Hill , Salvatore T. Conti
IPC: H04L29/06
CPC classification number: H04L67/306 , G06Q10/06 , G06Q10/0637 , H04L65/403 , H04L67/10 , H04L67/22 , Y02P90/86
Abstract: Cloud-aware industrial devices feed robust sets of data to a cloud-based data analyzer that executes as a service in a cloud platform. In addition to industrial data generated or collected by the industrial devices, the devices can provide device profile information to the cloud-based analyzer that identifies the device and relevant configuration information. The industrial devices can also provide customer data identifying an owner of the industrial devices, contact information for the owner, active service contracts, etc. The cloud-based data analyzer leverages this information to perform a variety of custom analytics on the data and generate reports or notifications catered to the particular industrial assets' optimal performance and business goals of the owner's industrial enterprise, as well as perform real-time decision making and control.
Abstract translation: 支持云的工业设备将可靠的数据集提供给在云平台中作为服务执行的基于云的数据分析器。 除了工业设备生成或收集的工业数据之外，设备还可以将设备配置信息提供给基于云的分析仪，以识别设备和相关配置信息。 工业设备还可以提供识别工业设备的所有者，所有者的联系信息，主动服务合同等的客户数据。基于云的数据分析器利用该信息对数据执行各种定制分析并生成报告 或特定工业资产的所有者工业企业的最佳绩效和业务目标的通知，以及执行实时决策和控制。
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公开(公告)号：US20140337086A1
公开(公告)日：2014-11-13
申请号：US14087821
申请日：2013-11-22
Applicant: Rockwell Automation Technologies, Inc.
Inventor： Juan L. Asenjo , John Strohmenger , Stephen Thomas Nawalaniec , Bradford Henry Hegrat , Joseph A. Harkulich , Jessica Lin Korpela , Jenifer Rydberg Wright , Rainer Hessmer , John Dyck , Edward Alan Hill , Salvatore T. Conti
IPC: G06Q10/06
CPC classification number: G06Q10/0635 , G06F3/0635 , G06Q10/06 , H04L41/0896 , Y02P90/86
Abstract: A cloud-based risk assessment service collects industrial data from multiple relevant and connected sources for storage and analysis on a cloud platform. The service analyzes gathered data from internal and external sources and 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 the analysis, the risk assessment service identifies risk factors inherent in a customer's particular industrial enterprise. The cloud-based system generates a risk profile for the customer that identifies the determined risks and recommends risk aversion strategies based on the customer's specific profile, compared to industry standards, product information, internal business expectations, external regulatory bodies, and/or past performance. Risk profiles are tailored for both plant-level users and business-level users to provide intelligent strategies to improve performance and prevent avoidable losses.
Abstract translation: 基于云的风险评估服务从多个相关和连接的资源收集工业数据，以便在云平台上进行存储和分析。 服务分析收集来自不同行业的内部和外部来源和客户的数据，以确定作为行业类型，应用类型，使用设备，设备配置和其他此类变量的功能的运营趋势。 根据分析，风险评估服务确定客户特定工业企业固有的风险因素。 基于云的系统为客户生成识别确定的风险的风险简档，并根据客户的具体情况建议风险规避策略，与行业标准，产品信息，内部业务期望，外部监管机构和/或过去绩效相比较 。 为企业级用户和企业级用户量身定制风险简档，以提供智能战略来提高性能并避免可避免的损失。
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公开(公告)号：US20140336791A1
公开(公告)日：2014-11-13
申请号：US14087730
申请日：2013-11-22
Applicant: Rockwell Automation Technologies, Inc.
Inventor： Juan L. Asenjo , John Strohmenger , Stephen Thomas Nawalaniec , Bradford Henry Hegrat , Joseph A. Harkulich , Jessica Lin Korpela , Jenifer Rydberg Wright , Rainer Hessmer , John Dyck , Edward Alan Hill , Salvatore T. Conti
IPC: G05B13/02
CPC classification number: G05B13/026 , G06Q10/06 , Y02P90/86
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.
Abstract translation: 基于云的预测维护服务从云平台收集来自多个工业客户的工业数据进行存储和分析。 该服务分析从不同行业的多个客户收集的数据，以确定作为行业类型，应用类型，正在使用的设备，设备配置和其他此类变量的功能的运营趋势。 根据分析结果，预测性维护服务预测个人客户的预期设备故障或系统低效率。 通知服务在问题变得至关重要之前，向客户提醒即将发生的故障或低效率。 基于云的通知服务还通知相应的技术支持实体，以促进主动维护和设备管理。
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公开(公告)号：US10726428B2
公开(公告)日：2020-07-28
申请号：US16262153
申请日：2019-01-30
Applicant: Rockwell Automation Technologies, Inc.
Inventor： Juan L. Asenjo , John Strohmenger , Stephen Thomas Nawalaniec , Bradford Henry Hegrat , Joseph A. Harkulich , Jessica Lin Korpela , Jenifer Rydberg Wright , Rainer Hessmer , John Dyck , Edward Alan Hill , Salvatore T. Conti
Abstract: Cloud-aware industrial devices feed robust sets of data to a cloud-based data analyzer that executes as a service in a cloud platform. In addition to industrial data generated or collected by the industrial devices, the devices can provide device profile information to the cloud-based analyzer that identifies the device and relevant configuration information. The industrial devices can also provide customer data identifying an owner of the industrial devices, contact information for the owner, active service contracts, etc. The cloud-based data analyzer leverages this information to perform a variety of custom analytics on the data and generate reports or notifications catered to the particular industrial assets' optimal performance and business goals of the owner's industrial enterprise, as well as perform real-time decision making and control.
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