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    PREDICTIVE MAINTENANCE FOR INDUSTRIAL PRODUCTS USING BIG DATA
    61.
    发明申请
    PREDICTIVE MAINTENANCE FOR INDUSTRIAL PRODUCTS USING BIG DATA 审中-公开
    使用大数据的工业产品的预测性维护

    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。

    USING CLOUD-BASED DATA FOR INDUSTRIAL AUTOMATION SYSTEM TRAINING
    62.
    发明申请
    USING CLOUD-BASED DATA FOR INDUSTRIAL AUTOMATION SYSTEM TRAINING 有权
    使用基于云的数据进行工业自动化系统培训

    公开(公告)号：US20140335480A1

    公开(公告)日：2014-11-13

    申请号：US14087922

    申请日：2013-11-22

    Applicant: Rockwell Automation Technologies, Inc.

    Inventor： Juan Asenjo ,  John Strohmenger ,  Stephen Nawalaniec ,  Bradford H. Hegrat ,  Joseph A. Harkulich ,  Jessica Lin Korpela ,  Jenifer Rydberg Wright ,  Rainer Hessmer ,  John Dyck ,  Edward Alan Hill ,  Sal Conti

    IPC: G09B19/18

    CPC classification number: G09B19/18 ,  G06Q10/06 ,  G06Q10/1097

    Abstract: A cloud-based performance enhancement service captures and collects data relating to interactions of users with industrial automation systems of multiple industrial customers for storage and analysis on a cloud platform. The service employs a performance enhancement component that analyzes the data to facilitate determining correlations between certain user interactions and favorable performance of an industrial automation system, determining user interactions that are less favorable or unsafe, determining alternative actions that a user can take to achieve a same or similar preferred operational result, generating recommendations relating to the alternative actions, determining or designing components or techniques that can automate a preferred user action, determining improved user assignments in connection with the industrial automation system, and/or generating training modules or presentations based on preferred user actions that can be used to train users to more efficiently interact with an industrial automation system to achieve improved system performance.

    Abstract translation: 基于云的性能增强服务捕获并收集与多个工业客户的工业自动化系统的用户交互相关的数据，以便在云平台上进行存储和分析。 该服务采用性能增强组件来分析数据，以便于确定某些用户交互与工业自动化系统的良好性能之间的相关性，确定不利或不安全的用户交互，确定用户可以采取的替代动作来实现相同 或类似的优选操作结果，产生与替代动作有关的建议，确定或设计可以自动化优选用户动作的组件或技术，确定与工业自动化系统相关的改进的用户分配，和/或基于以下方式生成训练模块或演示： 可用于训练用户更有效地与工业自动化系统交互以实现改进的系统性能的优选用户动作。

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