公开(公告)号：US20140279948A1

公开(公告)日：2014-09-18

申请号：US13800926

申请日：2013-03-13

Applicant: ABB RESEARCH LTD.

Inventor： Shakeel Mahamood Mahate ,  Karen J. Smiley ,  Paul F. Wood

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06Q10/10

Abstract: Among other things, one or more techniques and/or systems are provided for developing a timeline chronicling events pertaining to an industrial asset. Data is received from a plurality of assets, processed (e.g., to reduce duplicative and/or redundant data), and organized chronologically for presentation in a timeline. The data is further grouped and/or prioritized to display some portions of the data more prominently relative to other portions of the data in the timeline (e.g., which may be hidden). Grouping rules and/or prioritization rules for grouping and/or prioritizing the data may be a function of user interaction with the timeline and/or a function of a machine learning algorithm which may be configured to identify patterns in how users interact with the timeline based upon, among other things, a role the user plays relative to the industrial asset and/or an operating state of the industrial asset.

Abstract translation: 除其他之外，提供了一种或多种技术和/或系统用于开发与工业资产有关的时间轴记录事件。 从多个资产接收数据，处理（例如，以减少重复和/或冗余数据），并按时间顺序组织以在时间线中呈现数据。 数据被进一步分组和/或优先化以相对于时间线中的数据的其他部分（例如，其可以被隐藏）更显着地显示数据的一些部分。 用于对数据进行分组和/或优先化排序的分组规则和/或优先级规则可以是用户与时间线的交互和/或机器学习算法的功能的函数，所述机器学习算法可以被配置为识别用户如何与基于时间轴的交互的模式 其中包括用户对工业资产和/或工业资产的经营状态的作用。

公开(公告)号：US09547695B2

公开(公告)日：2017-01-17

申请号：US13800926

申请日：2013-03-13

Applicant: ABB Research Ltd.

Inventor： Shakeel Mahamood Mahate ,  Karen J. Smiley ,  Paul F. Wood

IPC: G06F17/30 ,  G06Q10/10

CPC classification number: G06F17/3053 ,  G06Q10/10

Abstract: Among other things, one or more techniques and/or systems are provided for developing a timeline chronicling events pertaining to an industrial asset. Data is received from a plurality of assets, processed (e.g., to reduce duplicative and/or redundant data), and organized chronologically for presentation in a timeline. The data is further grouped and/or prioritized to display some portions of the data more prominently relative to other portions of the data in the timeline (e.g., which may be hidden). Grouping rules and/or prioritization rules for grouping and/or prioritizing the data may be a function of user interaction with the timeline and/or a function of a machine learning algorithm which may be configured to identify patterns in how users interact with the timeline based upon, among other things, a role the user plays relative to the industrial asset and/or an operating state of the industrial asset.

Abstract translation: 除其他之外，提供了一种或多种技术和/或系统用于开发与工业资产有关的时间轴记录事件。 从多个资产接收数据，处理（例如，以减少重复和/或冗余数据），并按时间顺序组织以在时间线中呈现数据。 数据被进一步分组和/或优先化以相对于时间线中的数据的其他部分（例如，其可以被隐藏）更显着地显示数据的一些部分。 用于对数据进行分组和/或优先化排序的分组规则和/或优先级规则可以是用户与时间线的交互和/或机器学习算法的功能的函数，所述机器学习算法可以被配置为识别用户如何与基于时间轴的交互的模式 其中包括用户对工业资产和/或工业资产的经营状态的作用。