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1. 发明授权

US09311615B2 Infrastructure asset management 有权
公开(公告)号：US09311615B2
公开(公告)日：2016-04-12
申请号：US12983556
申请日：2011-01-03
申请人： Andrew J. Davenport , Wei Shan Dong , Frank D. Fenhagen, IV , Arun Hampapur , Zhong Bo Jiang , Jayant R. Kalagnanam , Hongfei Li , Shilpa N. Mahatma , Wei Sun , Lexing Xie
发明人： Andrew J. Davenport , Wei Shan Dong , Frank D. Fenhagen, IV , Arun Hampapur , Zhong Bo Jiang , Jayant R. Kalagnanam , Hongfei Li , Shilpa N. Mahatma , Wei Sun , Lexing Xie
IPC分类号： G06Q10/00 , G06Q10/06 , G06Q99/00
CPC分类号： G06Q10/0631 , G06Q10/063 , G06Q10/0635 , G06Q10/20 , G06Q99/00
摘要： An approach for infrastructure asset management is provided. This approach comprises an end-to-end analytics driven maintenance approach that can take data about physical assets and additional external data, and apply advanced analytics to the data to generate business insight, foresight and planning information. Specifically, this approach uses a maintenance analysis tool, which is configured to: receive data about a set of physical assets of an infrastructure, and analyze the data about the set of physical assets to predict maintenance requirements for each of the set of physical assets. The maintenance analysis tool further comprises an output component configured to generate a maintenance plan based on the predicted maintenance requirements for each of the set of physical assets.

2. 发明申请

US20120173300A1 INFRASTRUCTURE ASSET MANAGEMENT 有权
标题翻译：基础设施资产管理
公开(公告)号：US20120173300A1
公开(公告)日：2012-07-05
申请号：US12983556
申请日：2011-01-03
申请人： Andrew J. Davenport , Wei Shan Dong , Frank D. Fenhagen, IV , Arun Hampapur , Zhong Bo Jiang , Jayant R. Kalagnanam , Hongfei Li , Shilpa N. Mahatma , Wei Sun , Lexing Xie
发明人： Andrew J. Davenport , Wei Shan Dong , Frank D. Fenhagen, IV , Arun Hampapur , Zhong Bo Jiang , Jayant R. Kalagnanam , Hongfei Li , Shilpa N. Mahatma , Wei Sun , Lexing Xie
IPC分类号： G06Q10/00 , G06Q90/00
CPC分类号： G06Q10/0631 , G06Q10/063 , G06Q10/0635 , G06Q10/20 , G06Q99/00
摘要： An approach for infrastructure asset management is provided. This approach comprises an end-to-end analytics driven maintenance approach that can take data about physical assets and additional external data, and apply advanced analytics to the data to generate business insight, foresight and planning information. Specifically, this approach uses a maintenance analysis tool, which is configured to: receive data about a set of physical assets of an infrastructure, and analyze the data about the set of physical assets to predict maintenance requirements for each of the set of physical assets. The maintenance analysis tool further comprises an output component configured to generate a maintenance plan based on the predicted maintenance requirements for each of the set of physical assets.
摘要翻译：提供了基础设施资产管理的方法。这种方法包括端到端分析驱动的维护方法，可以获取有关物理资产和其他外部数据的数据，并将高级分析应用于数据，以生成业务洞察力，远见和规划信息。具体来说，此方法使用维护分析工具，该工具被配置为：接收关于一组基础设施的物理资产的数据，并分析有关该物理资产集合的数据，以预测每组物理资产的维护需求。所述维护分析工具还包括输出部件，其被配置为基于所述一组物理资产中的每一个的预测的维护要求来生成维护计划。

3. 发明授权

US10088335B2 Anomaly detection using usage data for metering system 有权
公开(公告)号：US10088335B2
公开(公告)日：2018-10-02
申请号：US13446701
申请日：2012-04-13
申请人： Arun Hampapur , Zhong Bo Jiang , Hongfei Li , Shilpa N. Mahatma
发明人： Arun Hampapur , Zhong Bo Jiang , Hongfei Li , Shilpa N. Mahatma
IPC分类号： G01D4/00
摘要： A method, system and computer program product for detecting anomalies in a metering system. In one embodiment, data representing usage of a defined commodity are collected from meters, and the data collected over a given time period are analyzed to identify any of the meters showing at least one defined type of anomalous usage pattern. For each of the meters showing an anomalous usage patterns, an anomaly score is determined for the usage pattern shown, and the anomaly scores are used to rank the meters. In one embodiment, the collected data are analyzed to identify any of the meters showing one or more of a group of types of anomalous patterns including meter-no-reading, meter-by-pass, and meter-silting patterns. Embodiments of the invention utilize time series techniques and data analysis on meter reading data. Further, embodiments of the invention require no additional installation of equipment or sensors.

4. 发明申请

US20130271289A1 ANOMALY DETECTION USING USAGE DATA FOR METERING SYSTEM 审中-公开
标题翻译：使用用于计量系统的数据进行异常检测
公开(公告)号：US20130271289A1
公开(公告)日：2013-10-17
申请号：US13446701
申请日：2012-04-13
申请人： Arun Hampapur , Zhong Bo Jiang , Hongfei Li , Shilpa N. Mahatma
发明人： Arun Hampapur , Zhong Bo Jiang , Hongfei Li , Shilpa N. Mahatma
IPC分类号： G08C15/06
CPC分类号： G01D4/004 , Y02B90/242 , Y04S20/322 , Y04S20/36
摘要： A method, system and computer program product for detecting anomalies in a metering system. In one embodiment, data representing usage of a defined commodity are collected from meters, and the data collected over a given time period are analyzed to identify any of the meters showing at least one defined type of anomalous usage pattern. For each of the meters showing an anomalous usage patterns, an anomaly score is determined for the usage pattern shown, and the anomaly scores are used to rank the meters. In one embodiment, the collected data are analyzed to identify any of the meters showing one or more of a group of types of anomalous patterns including meter-no-reading, meter-by-pass, and meter-silting patterns. Embodiments of the invention utilize time series techniques and data analysis on meter reading data. Further, embodiments of the invention require no additional installation of equipment or sensors.
摘要翻译：一种用于检测计量系统异常的方法，系统和计算机程序产品。在一个实施例中，代表使用定义的商品的数据从米收集，并且分析在给定时间段内收集的数据，以识别显示至少一种定义类型的异常使用模式的任何仪表。对于显示异常使用模式的每个仪表，为显示的使用模式确定异常分数，并且使用异常分数来对米进行排序。在一个实施例中，分析所收集的数据以识别显示一组类型的异常模式中的一个或多个的任何仪表，包括仪表不读，逐个通过和测量淤塞模式。本发明的实施例利用时间序列技术和抄表数据的数据分析。此外，本发明的实施例不需要额外安装设备或传感器。

5. 发明申请

US20120173301A1 SYSTEM AND METHOD FOR FAILURE ASSOCIATION ANALYSIS 审中-公开
标题翻译：失效协调分析系统与方法
公开(公告)号：US20120173301A1
公开(公告)日：2012-07-05
申请号：US12984019
申请日：2011-01-04
申请人： Wei Shan Dong , Rogerio S. Feris , Arun Hampapur , Zhong Bo Jiang , Shilpa N. Mahatma , Wei Sun , Lexing Xie
发明人： Wei Shan Dong , Rogerio S. Feris , Arun Hampapur , Zhong Bo Jiang , Shilpa N. Mahatma , Wei Sun , Lexing Xie
IPC分类号： G06Q10/00
CPC分类号： G06Q10/0635
摘要： A system and method for mining the failure association rules of geographically dispersed physical assets is provided. One approach of the present invention has steps of joining input data sources, extracting spatio-temporal (ST) information, quantilizing ST continuous value in automated manner, or based on pre-built knowledge, applying association rule mining algorithm to find associations between attributes and failure and outputting identified ST failure association rules.
摘要翻译：提供了一种用于挖掘地理分散实物资产故障关联规则的系统和方法。本发明的一种方法具有连接输入数据源，以自动方式提取时空（ST）信息，量化ST连续值或基于预构建知识的步骤，应用关联规则挖掘算法来查找属性与故障并输出确定的ST故障关联规则。

6. 发明申请

US20120130759A1 SYSTEM AND METHOD FOR RISK OPTIMIZED, SPATIALLY SENSITIVE PREVENTIVE MAINTENANCE SCHEDULING FOR ASSET MANAGEMENT 审中-公开
标题翻译：风险优化的系统和方法，用于资产管理的空间敏感的预防性维护调度
公开(公告)号：US20120130759A1
公开(公告)日：2012-05-24
申请号：US12954051
申请日：2010-11-24
申请人： Andrew J. Davenport , Arun Hampapur , Shilpa N. Mahatma , Lexing Xie
发明人： Andrew J. Davenport , Arun Hampapur , Shilpa N. Mahatma , Lexing Xie
IPC分类号： G06Q10/00 , G06F17/30
CPC分类号： G06Q10/0635 , G06Q10/0631 , G06Q10/20
摘要： A preventative maintenance method and a system for estimating the risk of failure of an asset based on intrinsic parameters such as failure history combined with causative factors like weather and independent external risk factors such as vandalism and risk of flooding. The present invention may further have a system for estimating the risk of failure of an asset based on intrinsic parameters, such as failure history combined with causative factors such as weather and independent external risk factors like vandalism and risk of flooding having a location based asset/service failure risk estimator, an external risk estimates database for feeding and an integrated failure risk database, the external risk estimates database feeding the integrated failure risk database.
摘要翻译：一种预防性维护方法和一种基于内部参数（如失败历史）与诸如天气和独立外部风险因素（如破坏行为和洪水风险）等因果因素相结合的资产估计风险的系统。本发明还可以具有用于基于内在参数来估计资产失效风险的系统，诸如故障历史与诸如天气和独立的外部风险因素之类的因果关系，诸如破坏行为和具有基于位置的资产/ 服务失败风险估算器，用于喂养的外部风险估计数据库和综合失败风险数据库，外部风险估算数据库为整合的故障风险数据库提供服务。

7. 发明授权

US10360527B2 Casual modeling of multi-dimensional hierarchical metric cubes 有权
公开(公告)号：US10360527B2
公开(公告)日：2019-07-23
申请号：US12943316
申请日：2010-11-10
申请人： Naoki Abe , Jing Fu , Michael G. Gemmell , Shubir Kapoor , Floyd S. Kelly , David M. Loehr , Aurelie C. Lozano , Shilpa N. Mahatma , Bonnie K. Ray
发明人： Naoki Abe , Jing Fu , Michael G. Gemmell , Shubir Kapoor , Floyd S. Kelly , David M. Loehr , Aurelie C. Lozano , Shilpa N. Mahatma , Bonnie K. Ray
IPC分类号： G06Q10/06
摘要： A computing system initializes a first frontier to be a root of a multi-dimensional hierarchical data structure representing an entity. The system acquires first data corresponding to the first frontier. The system performs modeling on the first data to obtain a first model and a corresponding first statistic. The system expands a dimension of the first frontier. The system gathers second data corresponding to the expanded frontier. The system applies the data modeling on the second data to obtain a second model and a corresponding second statistic. The system compares the first statistic of the first model and the second statistic of the second model. The system sets the second model to be the first model in response to determining that the second model statistic is better than the first model statistic. The system outputs the first model.

8. 发明申请

US20120116850A1 CAUSAL MODELING OF MULTI-DIMENSIONAL HIERACHICAL METRIC CUBES 审中-公开
标题翻译：多维度数公式的原理建模
公开(公告)号：US20120116850A1
公开(公告)日：2012-05-10
申请号：US12943316
申请日：2010-11-10
申请人： Naoki Abe , Jing Fu , Michael G. Gemmell , Shubir Kapoor , Floyd S. Kelly , David M. Loehr , Aurelie C. Lozano , Shilpa N. Mahatma , Bonnie K. Ray
发明人： Naoki Abe , Jing Fu , Michael G. Gemmell , Shubir Kapoor , Floyd S. Kelly , David M. Loehr , Aurelie C. Lozano , Shilpa N. Mahatma , Bonnie K. Ray
IPC分类号： G06Q10/00
CPC分类号： G06Q10/067 , G06Q10/063 , G06Q10/0639
摘要： A computing system initializes a first frontier to be a root of a multi-dimensional hierarchical data structure representing an entity. The system acquires first data corresponding to the first frontier. The system performs modeling on the first data to obtain a first model and a corresponding first statistic. The system expands a dimension of the first frontier. The system gathers second data corresponding to the expanded frontier. The system applies the data modeling on the second data to obtain a second model and a corresponding second statistic. The system compares the first statistic of the first model and the second statistic of the second model. The system sets the second model to be the first model in response to determining that the second model statistic is better than the first model statistic. The system outputs the first model.
摘要翻译：计算系统将第一边界初始化为代表实体的多维分层数据结构的根。系统获取与第一边界对应的第一数据。系统对第一个数据执行建模以获得第一个模型和相应的第一个统计量。系统扩展了第一个边界的维度。系统收集对应于扩展边界的第二个数据。该系统对第二个数据应用数据建模以获得第二个模型和相应的第二个统计量。系统比较第一模型的第一个统计量和第二个模型的第二个统计量。响应于确定第二模型统计量优于第一模型统计量，系统将第二模型设置为第一模型。系统输出第一个模型。

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