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    • 3. 发明申请
    • Automated hierarchical classification for utility systems with multiple sources
    • 具有多个来源的公用事业系统的自动分级分类
    • US20090281742A1
    • 2009-11-12
    • US12151309
    • 2008-05-06
    • Ronald W. CarterAmjad HasanJon A. Bickel
    • Ronald W. CarterAmjad HasanJon A. Bickel
    • G06F17/00
    • G01D4/002Y02B90/241Y04S20/32
    • A method for automatically determining how monitoring devices in an electrical system having a main source of energy and at least one alternative source of energy (e.g., another utility source, a generator, or UPS system) are connected together to form a hierarchy. The end-user inputs identification information about the monitoring device(s) monitoring the alternative source of energy. The method receives time-series data from the monitoring devices and determines a model type of the electrical system by analyzing the monitoring device's time-series data. Once the model type is known, the method builds the complete monitoring system hierarchy in which the monitoring devices that are monitoring the main and alternative sources are placed properly. The method can also validate polarity nomenclature of the time-series data to account for end-user's varying polarity configurations.
    • 一种用于自动确定具有主要能量源的电气系统中的监测装置和至少一个替代能量源(例如,另一个公用事业源,发电机或UPS系统)如何连接在一起以形成层级的方法。 最终用户输入关于监视替代能源的监视设备的识别信息。 该方法从监控设备接收时间序列数据,并通过分析监控设备的时间序列数据来确定电气系统的型号类型。 一旦模型类型已知,该方法构建完整的监控系统层次结构,监控主源和替代源的监控设备正确放置在其中。 该方法还可以验证时间序列数据的极性命名,以说明最终用户的极性配置变化。
    • 4. 发明授权
    • Robust automated hierarchical determination for power monitoring systems
    • 强大的电力监控系统的自动分层确定
    • US08583582B2
    • 2013-11-12
    • US12695237
    • 2010-01-28
    • Amjad HasanRonald W. CarterJon A. Bickel
    • Amjad HasanRonald W. CarterJon A. Bickel
    • G06N7/02G06N5/04
    • G06N5/048G01D4/002Y02B90/241Y04S20/32Y04S20/48
    • An automated hierarchy classification algorithm that searches for a child monitoring device's parent in a utility monitoring system by segmenting the device data measured by a given device pair and calculating a segment correlation coefficient for each data segment. Devices to be placed in the hierarchy are filtered by calculating the variance of their device data and eliminating devices with a low variance. Devices are ranked by computing the sum of squares of their device data and ordering the devices accordingly from highest to lowest. The device data is segmented and segment correlation coefficients are averaged to produce an overall correlation coefficient. Criteria are evaluated to determine whether a device pair is linked. A correlation coefficient is calculated using the complete data series of a device pair, and the solution produced by this approach is compared with the solution produced by segmenting the device data. If the solutions disagree, a likely candidate is determined from a fuzzy logic module.
    • 一种自动层级分类算法,通过分割给定设备对测量的设备数据并计算每个数据段的段相关系数,在公用事业监控系统中搜索子监视设备的父级。 通过计算其设备数据的方差并消除低方差的设备来过滤放置在层次结构中的设备。 设备通过计算其设备数据的平方和进行排序,从而将设备从最高到最低排序。 对器件数据进行分段,并对段相关系数进行平均以产生总体相关系数。 评估标准以确定设备对是否链接。 使用器件对的完整数据序列计算相关系数,并将通过该方法产生的解与通过分割器件数据产生的解相比较。 如果解决方案不同意,则从模糊逻辑模块确定可能的候选者。
    • 5. 发明申请
    • ROBUST AUTOMATED HIERARCHICAL DETERMINATION FOR POWER MONITORING SYSTEMS
    • 用于电力监控系统的鲁棒自动分层决定
    • US20110184576A1
    • 2011-07-28
    • US12695237
    • 2010-01-28
    • Amjad HasanRonald W. CarterJon A. Bickel
    • Amjad HasanRonald W. CarterJon A. Bickel
    • G06F1/28G06N5/02G06N7/02G06F15/18
    • G06N5/048G01D4/002Y02B90/241Y04S20/32Y04S20/48
    • An automated hierarchy classification algorithm that searches for a child monitoring device's parent in a utility monitoring system by segmenting the device data measured by a given device pair and calculating a segment correlation coefficient for each data segment. Devices to be placed in the hierarchy are filtered by calculating the variance of their device data and eliminating devices with a low variance. Devices are ranked by computing the sum of squares of their device data and ordering the devices accordingly from highest to lowest. The device data is segmented and segment correlation coefficients are averaged to produce an overall correlation coefficient. Criteria are evaluated to determine whether a device pair is linked. A correlation coefficient is calculated using the complete data series of a device pair, and the solution produced by this approach is compared with the solution produced by segmenting the device data. If the solutions disagree, a likely candidate is determined from a fuzzy logic module.
    • 一种自动层级分类算法,通过分割给定设备对测量的设备数据并计算每个数据段的段相关系数,在公用事业监控系统中搜索子监视设备的父级。 通过计算其设备数据的方差并消除低方差的设备来过滤放置在层次结构中的设备。 设备通过计算其设备数据的平方和进行排序,从而将设备从最高到最低排序。 对器件数据进行分段,并对段相关系数进行平均以产生总体相关系数。 评估标准以确定设备对是否链接。 使用器件对的完整数据序列计算相关系数,并将通过该方法产生的解与通过分割器件数据产生的解相比较。 如果解决方案不同意,则从模糊逻辑模块确定可能的候选者。
    • 6. 发明授权
    • Hierarchy determination for power monitoring systems
    • 电力监控系统的层次确定
    • US08401985B2
    • 2013-03-19
    • US12741544
    • 2007-11-05
    • Jon A. BickelRonald W. CarterAmjad Hasan
    • Jon A. BickelRonald W. CarterAmjad Hasan
    • G06N5/00
    • G01D4/002Y02B90/241Y04S20/32Y04S20/48
    • A method of automatically learning how multiple devices are directly or indirectly linked in a monitoring system, comprises determining configuration parameters for the multiple devices in said system, receiving data measured by the devices, and grouping the devices into multiple segments according to at least one type of information selected from the group consisting of configuration parameters and data measured by said devices. Potential relationships of the devices in each segment are determined according to at least one type of information selected from the group consisting of configuration parameters and data measured by the devices, the hierarchies of the devices within individual segments are determined, and the hierarchies of the top-most device or devices in the segments are determined.
    • 一种自动学习多个设备如何在监控系统中直接或间接链接的方法,包括确定所述系统中的多个设备的配置参数,接收由设备测量的数据,以及根据至少一种类型将设备分组成多个段 从由配置参数和由所述设备测量的数据组成的组中选择的信息。 根据从由设备测量的配置参数和数据组成的组中选择的至少一种类型的信息确定每个段中的设备的潜在关系,确定各个段内的设备的层级,以及顶部的层次结构 - 确定段中的几个设备或设备。
    • 7. 发明授权
    • Automated hierarchical classification for utility systems with multiple sources
    • 具有多个来源的公用事业系统的自动分级分类
    • US08000911B2
    • 2011-08-16
    • US12151309
    • 2008-05-06
    • Ronald W. CarterAmjad HasanJon A. Bickel
    • Ronald W. CarterAmjad HasanJon A. Bickel
    • G06F17/00
    • G01D4/002Y02B90/241Y04S20/32
    • A method for automatically determining how monitoring devices in an electrical system having a main source of energy and at least one alternative source of energy (e.g., another utility source, a generator, or UPS system) are connected together to form a hierarchy. The end-user inputs identification information about the monitoring device(s) monitoring the alternative source of energy. The method receives time-series data from the monitoring devices and determines a model type of the electrical system by analyzing the monitoring device's time-series data. Once the model type is known, the method builds the complete monitoring system hierarchy in which the monitoring devices that are monitoring the main and alternative sources are placed properly. The method can also validate polarity nomenclature of the time-series data to account for end-user's varying polarity configurations.
    • 一种用于自动确定具有主要能量源的电气系统中的监测装置和至少一个替代能量源(例如,另一个公用事业源,发电机或UPS系统)如何连接在一起以形成层级的方法。 最终用户输入关于监视替代能源的监视设备的识别信息。 该方法从监控设备接收时间序列数据,并通过分析监控设备的时间序列数据来确定电气系统的型号类型。 一旦模型类型已知,该方法构建完整的监控系统层次结构,监控主源和替代源的监控设备正确放置在其中。 该方法还可以验证时间序列数据的极性命名,以说明最终用户的极性配置变化。
    • 8. 发明授权
    • Virtual metering
    • 虚拟测光
    • US07937247B2
    • 2011-05-03
    • US12228394
    • 2008-08-12
    • Ronald W. CarterJon A. BickelAmjad Hasan
    • Ronald W. CarterJon A. BickelAmjad Hasan
    • G06F19/00
    • G01D4/004G01R22/10Y02B90/242Y04S20/322
    • Methods for improving the accuracy of characterizing unmonitored paths or virtual meters in a utility system. The hierarchical arrangement of IEDs in the utility system is determined. Measured quantities of a characteristic of the utility being monitored are received and error-adjusted using statistical or absolute methods. The statistical method accounts for the mean and standard deviation associated with error measurements of the subject IED, and the absolute method uses the absolute value of the error measurement, expressed as a percentage, to produce ranges of measured quantities within an error tolerance. The differences between the error-adjusted quantities are analyzed to determine whether an unmonitored path exists, and if so, whether the virtual meter is consuming or supplying the utility. The order in which IEDs are read is determined so that a parent and its children are read in sequence to increase synchronicity of the received data and the virtual meter evaluation.
    • 提高在公用事业系统中表征不受监视的路径或虚拟仪表的准确性的方法。 确定了公用事业系统中IED的分层结构。 使用统计或绝对方法接收被监测效用的特征量的测量量和误差调整。 统计学方法考虑了与受试者IED的误差测量相关的平均值和标准偏差,绝对方法使用以百分比表示的误差测量的绝对值,以产生误差容限内的测量量的范围。 分析误差调整数量之间的差异,以确定是否存在不受监视的路径,如果是,则虚拟仪表是否在消耗或提供实用程序。 读取IED的顺序被确定,以便依次阅读父母及其孩子以增加接收到的数据和虚拟仪表评估的同步性。
    • 9. 发明申请
    • Virtual metering
    • 虚拟测光
    • US20100042372A1
    • 2010-02-18
    • US12228394
    • 2008-08-12
    • Ronald W. CarterJon A. BickelAmjad Hasan
    • Ronald W. CarterJon A. BickelAmjad Hasan
    • G06F15/00
    • G01D4/004G01R22/10Y02B90/242Y04S20/322
    • Methods for improving the accuracy of characterizing unmonitored paths or virtual meters in a utility system. The hierarchical arrangement of IEDs in the utility system is determined. Measured quantities of a characteristic of the utility being monitored are received and error-adjusted using statistical or absolute methods. The statistical method accounts for the mean and standard deviation associated with error measurements of the subject IED, and the absolute method uses the absolute value of the error measurement, expressed as a percentage, to produce ranges of measured quantities within an error tolerance. The differences between the error-adjusted quantities are analyzed to determine whether an unmonitored path exists, and if so, whether the virtual meter is consuming or supplying the utility. The order in which IEDs are read is determined so that a parent and its children are read in sequence to increase synchronicity of the received data and the virtual meter evaluation.
    • 提高在公用事业系统中表征不受监视的路径或虚拟仪表的准确性的方法。 确定了公用事业系统中IED的分层结构。 使用统计或绝对方法接收被监测效用的特征量的测量量和误差调整。 统计学方法考虑了与受试者IED的误差测量相关的平均值和标准偏差,绝对方法使用以百分比表示的误差测量的绝对值,以产生误差容限内的测量量的范围。 分析误差调整数量之间的差异,以确定是否存在不受监视的路径,如果是,则虚拟仪表是否在消耗或提供实用程序。 读取IED的顺序被确定,以便依次阅读父母及其孩子以增加接收到的数据和虚拟仪表评估的同步性。
    • 10. 发明申请
    • IN HIERARCHY DETERMINATION FOR POWER MONITORING SYSTEMS
    • 用于电力监控系统的分层决定
    • US20100306151A1
    • 2010-12-02
    • US12741544
    • 2007-11-05
    • Jon A. BickelRonal W. CarterAmjad Hasan
    • Jon A. BickelRonal W. CarterAmjad Hasan
    • G06N5/02
    • G01D4/002Y02B90/241Y04S20/32Y04S20/48
    • A method of automatically learning how multiple devices are directly or indirectly linked in a monitoring system, comprises determining configuration parameters for the multiple devices in said system, receiving data measured by the devices, and grouping the devices into multiple segments according to at least one type of information selected from the group consisting of configuration parameters and data measured by said devices. Potential relationships of the devices in each segment are determined according to at least one type of information selected from the group consisting of configuration parameters and data measured by the devices, the hierarchies of the devices within individual segments are determined, and the hierarchies of the top-most device or devices in the segments are determined.
    • 一种自动学习多个设备如何在监控系统中直接或间接链接的方法,包括确定所述系统中的多个设备的配置参数,接收由设备测量的数据,以及根据至少一种类型将设备分组成多个段 从由配置参数和由所述设备测量的数据组成的组中选择的信息。 根据从由设备测量的配置参数和数据组成的组中选择的至少一种类型的信息确定每个段中的设备的潜在关系,确定各个段内的设备的层级,以及顶部的层次结构 - 确定段中的几个设备或设备。