公开(公告)号：US20090157573A1

公开(公告)日：2009-06-18

申请号：US12178553

申请日：2008-07-23

申请人： Roger N. Anderson ,  Albert Boulanger ,  David L. Waltz ,  Phil Long ,  Arias Marta ,  Philip Gross ,  Hila Becker ,  Arthur Kressner ,  Mark Mastrocinque ,  Matthew Koenig ,  John A. Johnson

发明人： Roger N. Anderson ,  Albert Boulanger ,  David L. Waltz ,  Phil Long ,  Arias Marta ,  Philip Gross ,  Hila Becker ,  Arthur Kressner ,  Mark Mastrocinque ,  Matthew Koenig ,  John A. Johnson

IPC分类号： G06F15/18

CPC分类号： G06N99/005

摘要： A machine learning system creates failure-susceptibility rankings for feeder cables in a utility's electrical distribution system. The machine learning system employs martingale boosting algorithms and Support Vector Machine (SVM) algorithms to generate a feeder failure prediction model, which is trained on static and dynamic feeder attribute data. Feeders are dynamically ranked by failure susceptibility and the rankings displayed to utility operators and engineers so that they can proactively service the distribution system to prevent local power outages. The feeder rankings may be used to redirect power flows and to prioritize repairs. A feedback loop is established to evaluate the responses of the electrical distribution system to field actions taken to optimize preventive maintenance programs.

摘要翻译： 机器学习系统为公用事业的配电系统中的馈线电缆创建故障敏感性排名。 机器学习系统采用mart升级算法和支持向量机（SVM）算法，生成馈线故障预测模型，对静态和动态馈线属性数据进行了培训。 馈线由故障敏感性和对公用事业运营商和工程师的排名进行动态排名，以便他们可以主动为服务分配系统，以防止局部停电。 馈线排名可用于重定向电力流量并优先进行维修。 建立了一个反馈回路，以评估配电系统对优化预防性维护计划所采取的现场行动的响应。

公开(公告)号：US07945524B2

公开(公告)日：2011-05-17

申请号：US12178553

申请日：2008-07-23

申请人： Roger N. Anderson ,  Albert Boulanger ,  David L. Waltz ,  Phil Long ,  Marta Arias ,  Philip Gross ,  Hila Becker ,  Arthur Kressner ,  Mark Mastrocinque ,  Matthew Koenig ,  John A. Johnson

发明人： Roger N. Anderson ,  Albert Boulanger ,  David L. Waltz ,  Phil Long ,  Marta Arias ,  Philip Gross ,  Hila Becker ,  Arthur Kressner ,  Mark Mastrocinque ,  Matthew Koenig ,  John A. Johnson

IPC分类号： G06F15/18

CPC分类号： G06N99/005

摘要： A machine learning system creates failure-susceptibility rankings for feeder cables in a utility's electrical distribution system. The machine learning system employs martingale boosting algorithms and Support Vector Machine (SVM) algorithms to generate a feeder failure prediction model, which is trained on static and dynamic feeder attribute data. Feeders are dynamically ranked by failure susceptibility and the rankings displayed to utility operators and engineers so that they can proactively service the distribution system to prevent local power outages. The feeder rankings may be used to redirect power flows and to prioritize repairs. A feedback loop is established to evaluate the responses of the electrical distribution system to field actions taken to optimize preventive maintenance programs.

摘要翻译： 机器学习系统为公用事业的配电系统中的馈线电缆创建故障敏感性排名。 机器学习系统采用mart升级算法和支持向量机（SVM）算法，生成馈线故障预测模型，对静态和动态馈线属性数据进行了培训。 馈线由故障敏感性和对公用事业运营商和工程师的排名进行动态排名，以便他们可以主动为服务分配系统，以防止局部停电。 馈线排名可用于重定向电力流量并优先进行维修。 建立了一个反馈回路，以评估配电系统对优化预防性维护计划所采取的现场行动的响应。

公开(公告)号：US08583405B2

公开(公告)日：2013-11-12

申请号：US12777803

申请日：2010-05-11

申请人： Maggie Chow ,  Mark Mastrocinque ,  Robert J. Blick ,  Roger N. Anderson ,  Albert Boulanger ,  Philip Gross

发明人： Maggie Chow ,  Mark Mastrocinque ,  Robert J. Blick ,  Roger N. Anderson ,  Albert Boulanger ,  Philip Gross

IPC分类号： G06F11/30 ,  G21C17/00 ,  G06Q10/00

CPC分类号： G06Q10/06 ,  G06Q10/063

摘要： A system and computer-implemented method of providing contingency analysis information for a utility service network that includes obtaining contingency analysis information from a plurality of external sources, integrally combining the contingency analysis information obtained from each of the plurality of external sources into a single application and prioritizing the contingency analysis information in a predetermined order, dynamically updating, the contingency analysis information obtained from each of the plurality of external sources and the prioritization of the contingency analysis information based on status information, and displaying the contingency analysis information to a user via a graphical user interface.

摘要翻译： 一种用于为公用事业服务网络提供应急分析信息的系统和计算机实现的方法，包括从多个外部源获得应急分析信息，将从多个外部源中的每个获得的应急分析信息整合到单个应用中， 以预定顺序对应急分析信息进行优先排序，动态地更新从多个外部源中的每一个获得的应急分析信息和基于状态信息的应急分析信息的优先化，并且经由以下操作向用户显示应急分析信息 图形用户界面。

公开(公告)号：US09395707B2

公开(公告)日：2016-07-19

申请号：US13214057

申请日：2011-08-19

申请人： Roger N. Anderson ,  Albert Boulanger ,  John A. Johnson

发明人： Roger N. Anderson ,  Albert Boulanger ,  John A. Johnson

IPC分类号： G06F1/28 ,  G06F17/00 ,  G05B13/02 ,  G06Q10/04 ,  G06Q10/06 ,  G05B23/02 ,  G05B15/02 ,  H02J3/00

CPC分类号： G06Q10/06315 ,  G05B13/0265 ,  G05B15/02 ,  G05B23/0283 ,  G06F17/5009 ,  G06Q10/04 ,  G06Q10/06375 ,  G06Q50/06 ,  H02J2003/007 ,  Y04S10/54

摘要： The disclosed subject matter provides systems and methods for allocating resources within an infrastructure, such as an electrical grid, in response to changes to inputs and output demands on the infrastructure, such as energy sources and sinks. A disclosed system includes one or more processors, each having respective communication interfaces to receive data from the infrastructure, the data including infrastructure network data, one or more software applications, operatively coupled to and at least partially controlling the one or more processors, to process and characterize the infrastructure network data; and a display, coupled to the one or more processors, for visually presenting a depiction of at least a portion of the infrastructure including any changes in condition thereof, and one or more controllers in communication with the one or more processors, to manage processing of the resource, wherein the resource is obtained and/or distributed based on the characterization of the real time infrastructure data.

摘要翻译： 所公开的主题提供了用于在诸如电网之类的基础设施（例如电网）内分配资源的系统和方法，以响应对基础设施（例如能量源和汇）的输入和输出需求的改变。 所公开的系统包括一个或多个处理器，每个处理器具有各自的通信接口以从基础设施接收数据，数据包括基础设施网络数据，一个或多个软件应用，可操作地耦合到并且至少部分地控制一个或多个处理器，以处理 并表征基础设施网络数据; 以及耦合到所述一个或多个处理器的显示器，用于可视地呈现所述基础设施的至少一部分的描绘，包括其条件的任何改变，以及与所述一个或多个处理器通信的一个或多个控制器，以管理 资源，其中基于实时基础设施数据的表征来获得和/或分发资源。

公开(公告)号：US20120072039A1

公开(公告)日：2012-03-22

申请号：US13214057

申请日：2011-08-19

申请人： Roger N. Anderson ,  Albert Boulanger ,  John A. Johnson

发明人： Roger N. Anderson ,  Albert Boulanger ,  John A. Johnson

IPC分类号： G06F1/28 ,  G06F17/00

CPC分类号： G06Q10/06315 ,  G05B13/0265 ,  G05B15/02 ,  G05B23/0283 ,  G06F17/5009 ,  G06Q10/04 ,  G06Q10/06375 ,  G06Q50/06 ,  H02J2003/007 ,  Y04S10/54

摘要： The disclosed subject matter provides systems and methods for allocating resources within an infrastructure, such as an electrical grid, in response to changes to inputs and output demands on the infrastructure, such as energy sources and sinks. A disclosed system includes one or more processors, each having respective communication interfaces to receive data from the infrastructure, the data comprising infrastructure network data, one or more software applications, operatively coupled to and at least partially controlling the one or more processors, to process and characterize the infrastructure network data; and a display, coupled to said one or more processors, for visually presenting a depiction of at least a portion of the infrastructure including any changes in condition thereof, and one or more controllers in communication with the one or more processors, to manage processing of the resource, wherein the resource is obtained and/or distributed based on the characterization of said real time infrastructure data.

摘要翻译： 所公开的主题提供了用于在诸如电网之类的基础设施（例如电网）内分配资源的系统和方法，以响应对基础设施（例如能量源和汇）的输入和输出需求的改变。 所公开的系统包括一个或多个处理器，每个处理器具有各自的通信接口以从基础设施接收数据，该数据包括基础设施网络数据，一个或多个软件应用，可操作地耦合到且至少部分地控制一个或多个处理器，以处理 并表征基础设施网络数据; 以及耦合到所述一个或多个处理器的显示器，用于可视地呈现基础设施的至少一部分的描绘，包括其条件的任何改变，以及与所述一个或多个处理器通信的一个或多个控制器，以管理 所述资源，其中基于所述实时基础设施数据的表征来获得和/或分发所述资源。

公开(公告)号：US11074522B2

公开(公告)日：2021-07-27

申请号：US16916013

申请日：2020-06-29

申请人： Roger N. Anderson ,  Boyi Xie ,  Leon L. Wu ,  Arthur Kressner

发明人： Roger N. Anderson ,  Boyi Xie ,  Leon L. Wu ,  Arthur Kressner

IPC分类号： G06N20/00

摘要： Electric Grid Analytics Learning Machine, EGALM, is a machine learning based, “brutally empirical” analysis system for use in all energy operations. EGALM is applicable to all aspects of the electricity operations from power plants to homes and businesses. EGALM is a data-centric, computational learning and predictive analysis system that uses open source algorithms and unique techniques applicable to all electricity operations in the United States and other foreign countries.

公开(公告)号：US08725665B2

公开(公告)日：2014-05-13

申请号：US13589737

申请日：2012-08-20

申请人： Roger N. Anderson ,  Albert Boulanger ,  Leon Wu ,  Serena Lee

发明人： Roger N. Anderson ,  Albert Boulanger ,  Leon Wu ,  Serena Lee

IPC分类号： G06F15/18

CPC分类号： G06Q10/04

摘要： Techniques for evaluating the accuracy of a predicted effectiveness of an improvement to an infrastructure include collecting data, representative of at least one pre-defined metric, from the infrastructure during first and second time periods corresponding to before and after a change has been implemented, respectively. A machine learning system can receive compiled data representative of the first time period and generate corresponding machine learning data. A machine learning results evaluator can empirically analyze the generated machine learning data. An implementer can implement the change to the infrastructure based at least in part on the data from a machine learning data outputer. A system performance improvement evaluator can compare the compiled data representative of the first time period to that of the second time period to determine a difference, if any, and compare the difference, if any, to a prediction based on the generated machine learning data.

摘要翻译： 用于评估对基础设施改进的预测有效性的准确性的技术包括分别在对应于改变之前和之后的第一和第二时间段期间从基础设施收集表示至少一个预定义度量的数据 。 机器学习系统可以接收代表第一时间段的编译数据并产生相应的机器学习数据。 机器学习结果评估器可以经验性地分析生成的机器学习数据。 至少部分地基于来自机器学习数据输出器的数据，实现者可以实现对基础设施的改变。 系统性能改进评估器可以将表示第一时间段的编译数据与第二时间周期的编译数据进行比较，以确定差异（如果有的话），并根据生成的机器学习数据将差值（如果有的话）与预测进行比较。

公开(公告)号：US08560476B2

公开(公告)日：2013-10-15

申请号：US12019347

申请日：2008-01-24

申请人： Roger N. Anderson ,  Albert Boulanger ,  Wei He ,  Ulisses Mello ,  Liqing Xu

发明人： Roger N. Anderson ,  Albert Boulanger ,  Wei He ,  Ulisses Mello ,  Liqing Xu

IPC分类号： G06F17/00 ,  G06N5/00 ,  G06G7/48

CPC分类号： G01V11/00 ,  G01V2210/612 ,  G06Q10/04

摘要： A computer-aided lean management (CALM) controller system recommends actions and manages production in an oil and gas reservoir/field as its properties and conditions change with time. The reservoir/field is characterized and represented as an electronic-field (“e-field”). A plurality of system applications describe dynamic and static e-field properties and conditions. The application workflows are integrated and combined in a feedback loop between actions taken in the field and metrics that score the success or failure of those actions. A controller/optimizer operates on the combination of the application workflows to compute production strategies and actions. The controller/optimizer is configured to generate a best action sequence for production, which is economically “always-in-the-money.”

摘要翻译： 计算机辅助精简管理（CALM）控制器系统建议在油气藏/油田中的生产进行动作和管理，因为其属性和条件随时间而变化。 水库/油田被表征为电子场（“电场”）。 多个系统应用程序描述动态和静态电场特性和条件。 应用程序工作流程被集成在一起，并结合在现场采取的动作和衡量这些操作的成功或失败的指标之间的反馈循环中。 一个控制器/优化器运行在应用程序工作流的组合上来计算生产策略和动作。 控制器/优化器被配置为生成最佳的动作序列，这是经济上“永远在金钱”。

公开(公告)号：US20080294387A1

公开(公告)日：2008-11-27

申请号：US12019347

申请日：2008-01-24

申请人： Roger N. Anderson ,  Albert Boulanger ,  Wei He ,  Ulisses Mello ,  Liqing Xu

发明人： Roger N. Anderson ,  Albert Boulanger ,  Wei He ,  Ulisses Mello ,  Liqing Xu

IPC分类号： G06F17/50 ,  G06G7/50

CPC分类号： G01V11/00 ,  G01V2210/612 ,  G06Q10/04

摘要： A computer-aided lean management (CALM) controller system recommends actions and manages production in an oil and gas reservoir/field as its properties and conditions change with time. The reservoir/field is characterized and represented as an electronic-field (“e-field”). A plurality of system applications describe dynamic and static e-field properties and conditions. The application workflows are integrated and combined in a feedback loop between actions taken in the field and metrics that score the success or failure of those actions. A controller/optimizer operates on the combination of the application workflows to compute production strategies and actions. The controller/optimizer is configured to generate a best action sequence for production, which is economically “always-in-the-money.”

摘要翻译： 计算机辅助精简管理（CALM）控制器系统建议在油气藏/油田中的生产进行动作和管理，因为其属性和条件随时间而变化。 水库/油田被表征为电子场（“电场”）。 多个系统应用程序描述动态和静态电场特性和条件。 应用程序工作流程被集成在一起，并结合在现场采取的动作和衡量这些操作的成功或失败的指标之间的反馈循环中。 一个控制器/优化器运行在应用程序工作流的组合上来计算生产策略和动作。 控制器/优化器被配置为生成最佳的动作序列，这是经济上“永远在金钱”。

公开(公告)号：US20130138482A1

公开(公告)日：2013-05-30

申请号：US13479198

申请日：2012-05-23

申请人： Roger N. Anderson ,  Maggie Chow ,  Albert Boulanger

发明人： Roger N. Anderson ,  Maggie Chow ,  Albert Boulanger

IPC分类号： G06Q10/06

CPC分类号： G06Q10/06375 ,  G06Q40/06

摘要： A capital asset planning system for selecting assets for improvement within an infrastructure that includes one or more data sources descriptive of the infrastructure, one or more databases, coupled to the one or more data sources, to compile the one or more data sources, one or more processors, each coupled to and having respective communication interfaces to receive data from the one or more databases. The processor includes a predictor to generate a first metric of estimated infrastructure effectiveness based, at least in part, on a current status of the infrastructure, a second metric of estimated infrastructure effectiveness based, at least in part, on a user-selected, proposed changed configuration of the infrastructure, and a net metric of infrastructure effectiveness based, at least in part, on said first metric and said second metric. The system also includes a display, coupled to have the one or more processors, for visually presenting the net metric of infrastructure effectiveness, in which the assets for improvement are selected based, at least in part, on the net metric of infrastructure effectiveness.

摘要翻译： 一种资本资产规划系统，用于在基础设施内选择资产以进行改进，所述基础设施包括描述基础设施的一个或多个数据源，耦合到所述一个或多个数据源的一个或多个数据库，以编译所述一个或多个数据源，一个或多个数据源， 更多的处理器，每个处理器耦合到并具有各自的通信接口以从一个或多个数据库接收数据。 所述处理器包括预测器，用于至少部分地基于所述基础设施的当前状态来生成估计的基础设施有效性的第一度量，所述预测器至少部分地基于用户选择的，提出的 改变了基础设施的配置，以及至少部分地基于所述第一度量和所述第二度量的基础设施有效性的净度。 该系统还包括耦合以具有一个或多个处理器的显示器，用于可视地呈现基础设施有效性的净度量度，其中至少部分地基于基础设施有效性的净度度量来选择用于改进的资产。