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1. 发明申请

US20160259699A1 MULTI-COMPONENT AND MIXED-REALITY SIMULATION ENVIRONMENTS 有权
标题翻译：多组分和混合现实模拟环境
公开(公告)号：US20160259699A1
公开(公告)日：2016-09-08
申请号：US14636136
申请日：2015-03-02
申请人： Steven L. GREENSPAN , Debra J. DANIELSON , James D. RENO , John P. KANE , Prashant PARIKH
发明人： Steven L. GREENSPAN , Debra J. DANIELSON , James D. RENO , John P. KANE , Prashant PARIKH
IPC分类号： G06F11/26 , G06F11/263 , G06F9/455
CPC分类号： G06F11/261 , G06F8/65 , G06F11/0709 , G06F11/0739 , G06F11/079 , G06F11/263 , G06F11/30 , G06F11/3409
摘要： Systems and methods may include receiving real-time data from real components operating in a real-world environment. The systems and methods may further include generating a virtual representation of the real components based on the real-time data received from the real components and historical data associated with the real components. In addition, the systems and methods may include determining whether the real-time data from a component of the real components indicates an anomaly. The systems and methods also may include, in response to determining that the real-time data from the component indicates the anomaly, determining whether the anomaly indicated by the real-time data from the component is consistent with the virtual representation of the real components. Moreover, the systems and methods may include, in response to determining that the anomaly indicated by the real-time data from the component is not consistent with the virtual representation of the real components, determining that the component is a malfunctioning component.
摘要翻译：系统和方法可以包括从在真实环境中操作的真实组件接收实时数据。系统和方法还可以包括基于从真实组件接收到的实时数据和与实际组件相关联的历史数据来生成真实组件的虚拟表示。此外，系统和方法可以包括确定来自真实组件的组件的实时数据是否指示异常。响应于确定来自组件的实时数据指示异常，系统和方法还可以包括：确定来自组件的实时数据指示的异常是否与实际组件的虚拟表示一致。此外，系统和方法可以响应于确定来自组件的实时数据指示的异常与实际组件的虚拟表示不一致，确定组件是故障组件。

2. 发明申请

US20160259870A1 MULTI-COMPONENT AND MIXED-REALITY SIMULATION ENVIRONMENTS 审中-公开
标题翻译：多组分和混合现实模拟环境
公开(公告)号：US20160259870A1
公开(公告)日：2016-09-08
申请号：US14636134
申请日：2015-03-02
申请人： Steven L. GREENSPAN , Debra J. DANIELSON , James D. RENO , John P. KANE , Prashant PARIKH
发明人： Steven L. GREENSPAN , Debra J. DANIELSON , James D. RENO , John P. KANE , Prashant PARIKH
IPC分类号： G06F17/50
CPC分类号： G06F17/5009 , H04W4/70
摘要： Systems and methods may include receiving real-time data about a real component operating in a real-world environment. The systems and methods may further include generating a virtual representation of the real component based on the real-time data about the real component and historical data associated with the real component. In addition, the systems and methods may include receiving injected data from a lab. The injected data may provide data about a lab component operating in the lab. The systems and methods may also include simulating, in a virtual environment, a real-time interaction in the real-world environment between the real component and the lab component using the virtual representation of the real component and the injected data. Moreover, the systems and methods may include determining a real-time performance characteristic of at least one of the lab component and the real component based on the simulated real-time interaction in the real-world environment.
摘要翻译：系统和方法可以包括接收关于在真实环境中操作的真实组件的实时数据。系统和方法还可以包括基于与实际分量相关联的实际分量和历史数据的实时数据来生成实际分量的虚拟表示。此外，系统和方法可以包括从实验室接收注入的数据。注入的数据可以提供关于在实验室中操作的实验室组件的数据。系统和方法还可以包括在虚拟环境中使用真实组件和注入的数据的虚拟表示在真实组件和实验室组件之间的真实世界环境中的实时交互。此外，系统和方法可以包括基于现实世界环境中的模拟实时交互来确定实验室组件和实际组件中的至少一个的实时性能特征。

3. 发明申请

US20160269436A1 ASSESSING TRUST OF COMPONENTS IN SYSTEMS 审中-公开
标题翻译：评估系统中组件的信任
公开(公告)号：US20160269436A1
公开(公告)日：2016-09-15
申请号：US14642882
申请日：2015-03-10
申请人： Debra J. DANIELSON , Steven L. GREENSPAN , James D. RENO , Prashant PARIKH
发明人： Debra J. DANIELSON , Steven L. GREENSPAN , James D. RENO , Prashant PARIKH
IPC分类号： H04L29/06
CPC分类号： H04L63/1433 , H04L67/12
摘要： Systems and methods may include receiving performance data of components in a system. The performance data may include data for parameters for each of the components. The systems and methods may include determining aggregate data for each group of similar components of the components. The aggregate data for each group of similar components may include a group characteristic for each of the parameters. The systems and methods may include, for each group of similar components, determining whether the data for each of the parameters for each component is consistent with the group characteristic for the respective parameter. The systems and methods may include, for each component of the respective group determining that the component is anomalous in response to determining that the data for a parameter for the component is not consistent with the group characteristic for the parameter.
摘要翻译：系统和方法可以包括接收系统中组件的性能数据。性能数据可以包括用于每个组件的参数的数据。系统和方法可以包括确定组件的每组相似组件的聚合数据。每组相似组件的聚合数据可以包括每个参数的组特征。系统和方法可以包括对于每个类似组件组，确定每个组件的每个参数的数据是否与相应参数的组特征一致。响应于确定组件的参数的数据与参数的组特征不一致，系统和方法可以包括相应组的每个组件，确定组件是异常的。

4. 发明申请

US20160258845A1 SELF-LEARNING SIMULATION ENVIRONMENTS 审中-公开
标题翻译：自学习模拟环境
公开(公告)号：US20160258845A1
公开(公告)日：2016-09-08
申请号：US14636135
申请日：2015-03-02
申请人： Serge MANKOVSKII , Steven L. GREENSPAN , Debra J. DANIELSON , Prashant PARIKH , Maria C. VELEZ-ROJAS , James D. RENO
发明人： Serge MANKOVSKII , Steven L. GREENSPAN , Debra J. DANIELSON , Prashant PARIKH , Maria C. VELEZ-ROJAS , James D. RENO
IPC分类号： G01M99/00 , G06N99/00 , G06F17/50
CPC分类号： G01M99/008 , G05B23/0275 , G06F11/00 , G06F11/0709 , G06F11/079 , G06F17/5009 , H04L29/00 , H04L67/10 , H04L67/12 , H04L67/18 , H04L67/22 , H04L67/2833
摘要： Systems and methods may include receiving data of a physical system. The systems and methods may include determining whether an anomalous event has occurred based on the data. The systems and methods may include, in response to determining that the anomalous event has occurred, capturing data of the physical system and of an environment. The systems and methods may include generating a virtual representation of the physical system and the environment based on the captured data. The systems and methods may include repeatedly simulating data of the virtual representation by varying parameters of the captured data. The systems and methods may include determining which parameters are a root cause of the anomalous event based on the simulated performance data. The systems and methods may include determining particular values of the parameters that are likely the root cause of the anomalous event to use as a trigger for a proactive process.
摘要翻译：系统和方法可以包括接收物理系统的数据。系统和方法可以包括基于数据确定是否发生了异常事件。响应于确定异常事件已经发生，系统和方法可以包括捕获物理系统和环境的数据。系统和方法可以包括基于所捕获的数据生成物理系统和环境的虚拟表示。系统和方法可以包括通过改变捕获的数据的参数来重复模拟虚拟表示的数据。系统和方法可以包括基于模拟的性能数据确定哪些参数是异常事件的根本原因。系统和方法可以包括确定可能是异常事件的根本原因用作主动过程的触发的参数的特定值。

5. 发明申请

US20160261622A1 ANOMALY DETECTION BASED ON CLUSTER TRANSITIONS 有权
标题翻译：基于群集过渡的异常检测
公开(公告)号：US20160261622A1
公开(公告)日：2016-09-08
申请号：US14641279
申请日：2015-03-06
申请人： Debra J. DANIELSON , Steven L. GREENSPAN , James D. RENO , Prashant PARIKH
发明人： Debra J. DANIELSON , Steven L. GREENSPAN , James D. RENO , Prashant PARIKH
IPC分类号： H04L29/06
CPC分类号： H04L63/1425 , H04L67/1095
摘要： Systems and methods may include receiving first data of components, which may represent performance characteristics of the components at a first time. The systems and methods may include performing a first cluster analysis of the first data to identify clusters of the components with similar characteristics. The systems and methods may include receiving second data of the components, which may represent performance characteristics of the components at a second time. The systems and methods may include performing a second cluster analysis of the second data to identify clusters of the components with similar characteristics. The systems and methods may include determining whether a component transitioned from a cluster identified in the first cluster analysis to a different cluster identified in the second cluster analysis. The systems and methods may include determining that an anomaly occurred in response to determining that the component transitioned from the cluster to the different cluster.
摘要翻译：系统和方法可以包括接收组件的第一数据，其可以在第一时间表示组件的性能特征。系统和方法可以包括执行第一数据的第一聚类分析以识别具有相似特征的组件的簇。系统和方法可以包括接收组件的第二数据，其可以在第二时间表示组件的性能特征。系统和方法可以包括执行第二数据的第二聚类分析以识别具有相似特征的组件的簇。系统和方法可以包括确定从第一聚类分析中识别的集群转移到在第二聚类分析中识别的不同集群的组件。系统和方法可以包括确定响应于确定组件从集群转移到不同集群而发生异常。

6. 发明申请

US20160259869A1 SELF-LEARNING SIMULATION ENVIRONMENTS 审中-公开
标题翻译：自学习模拟环境
公开(公告)号：US20160259869A1
公开(公告)日：2016-09-08
申请号：US14636133
申请日：2015-03-02
申请人： Prashant PARIKH , Steven L. GREENSPAN , Debra J. DANIELSON , Serge MANKOVSKII , Maria C. VELEZ-ROJAS , James D. RENO
发明人： Prashant PARIKH , Steven L. GREENSPAN , Debra J. DANIELSON , Serge MANKOVSKII , Maria C. VELEZ-ROJAS , James D. RENO
IPC分类号： G06F17/50 , G06N99/00
CPC分类号： G06F17/5009 , G05B17/02 , G05B23/0243 , G05B23/0245 , G05B23/0262
摘要： Systems and methods may include receiving performance data of a system. The systems and methods may include generating a virtual representation of the system based on the performance data. The systems and methods may include simulating interactions between the virtual representation and an environment based on the performance data. The systems and methods may include generating an alert indicating an occurrence of an anomalous event based on the simulated interactions. The systems and methods may include determining that the alert was a false positive indicator of the occurrence of the anomalous event. The systems and methods may include, in response to determining that the alert was a false positive indicator, determining differences between a behavior of the system and the simulated interactions. The systems and methods may include determining an adjustment to the virtual representation to mitigate the differences between the behavior of the system and the simulated interactions.
摘要翻译：系统和方法可以包括接收系统的性能数据。系统和方法可以包括基于性能数据生成系统的虚拟表示。系统和方法可以包括基于性能数据来模拟虚拟表示和环境之间的交互。系统和方法可以包括基于模拟的相互作用产生指示异常事件的发生的警报。系统和方法可以包括确定该警报是异常事件发生的假阳性指标。响应于确定警报是假阳性指示符，系统和方法可以包括确定系统的行为和模拟的交互之间的差异。系统和方法可以包括确定对虚拟表示的调整以减轻系统的行为和模拟的交互之间的差异。

7. 发明申请

US20170230402A1 AUTOMATED DATA RISK ASSESSMENT 审中-公开
公开(公告)号：US20170230402A1
公开(公告)日：2017-08-10
申请号：US15019750
申请日：2016-02-09
申请人： Steven L. GREENSPAN , Debra J. DANIELSON , Kenneth William Scott MORRISON
发明人： Steven L. GREENSPAN , Debra J. DANIELSON , Kenneth William Scott MORRISON
IPC分类号： H04L29/06
CPC分类号： H04L63/126 , H04L63/1425 , H04L63/1433 , H04L63/205 , H04W12/0027 , H04W12/08 , H04W84/18
摘要： A method is described for receiving a plurality of node data streams through a data network from a plurality of source nodes, respectively, each of the plurality of node data streams comprising a plurality of node data. The method further comprises determining a respective risk assessment for each of the plurality of node data streams based on a plurality of elements, wherein the respective risk assessment indicates a level of trustworthiness of each of the plurality of node data streams. Moreover, the method comprises determining a plurality of respective actions for each of the plurality of source nodes, based on the respective risk assessment of the plurality of node data streams. The method further comprises instructing each of the plurality of source nodes to perform the respective action.

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