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1. 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。

2. 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.

3. 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。

4. 发明申请

US20130013640A1 MINING GENERALIZED SPATIAL ASSOCATION RULE 有权
标题翻译：采矿综合空间协会规则
公开(公告)号：US20130013640A1
公开(公告)日：2013-01-10
申请号：US13179125
申请日：2011-07-08
申请人： Wei Shan Dong , Arun Hampapur , Zhong Bo Jiang , Hongfei Li , Xuan Liu , Wei Sun
发明人： Wei Shan Dong , Arun Hampapur , Zhong Bo Jiang , Hongfei Li , Xuan Liu , Wei Sun
IPC分类号： G06F17/30
CPC分类号： G06F17/30241 , G06F17/30592
摘要： A system, method and computer program product for mining a rule including spatial information and non-spatial information by using a SAR (Spatial Association Rule) mining tool. The computing system is configured to construct an expanded spatial predicate transaction table for reference spatial objects and a generalized taxonomy for task-relevant spatial objects. The computing system is configured to run the SAR mining tool with the constructed expanded spatial predicate transaction and the generalized taxonomy. The computing system outputs, from the SAR mining tool, a set of generalized spatial association rules for the reference spatial objects. The generalized spatial association rule includes the spatial information and non-spatial information, associated with both the reference spatial objects and the task-relevant spatial objects.
摘要翻译：一种用于通过使用SAR（空间关联规则）挖掘工具挖掘包括空间信息和非空间信息的规则的系统，方法和计算机程序产品。计算系统被配置为构建用于参考空间对象的扩展空间谓词事务表和用于任务相关空间对象的广义分类法。计算系统配置为运行SAR挖掘工具，其中构建了扩展的空间谓词事务和广义分类法。计算系统从SAR挖掘工具输出一组用于参考空间对象的广义空间关联规则。广义空间关联规则包括与参考空间对象和任务相关的空间对象相关联的空间信息和非空间信息。

5. 发明授权

US08819065B2 Mining generalized spatial association rule 有权
标题翻译：挖掘广义空间关联规则
公开(公告)号：US08819065B2
公开(公告)日：2014-08-26
申请号：US13179125
申请日：2011-07-08
申请人： Wei Shan Dong , Arun Hampapur , Zhong Bo Jiang , Hongfei Li , Xuan Liu , Wei Sun
发明人： Wei Shan Dong , Arun Hampapur , Zhong Bo Jiang , Hongfei Li , Xuan Liu , Wei Sun
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30241 , G06F17/30592
摘要： A system, method and computer program product for mining a rule including spatial information and non-spatial information by using a SAR (Spatial Association Rule) mining tool. The computing system is configured to construct an expanded spatial predicate transaction table for reference spatial objects and a generalized taxonomy for task-relevant spatial objects. The computing system is configured to run the SAR mining tool with the constructed expanded spatial predicate transaction and the generalized taxonomy. The computing system outputs, from the SAR mining tool, a set of generalized spatial association rules for the reference spatial objects. The generalized spatial association rule includes the spatial information and non-spatial information, associated with both the reference spatial objects and the task-relevant spatial objects.
摘要翻译：一种用于通过使用SAR（空间关联规则）挖掘工具挖掘包括空间信息和非空间信息的规则的系统，方法和计算机程序产品。计算系统被配置为构建用于参考空间对象的扩展空间谓词事务表和用于任务相关空间对象的广义分类法。计算系统配置为运行SAR挖掘工具，其中构建了扩展的空间谓词事务和广义分类法。计算系统从SAR挖掘工具输出一组用于参考空间对象的广义空间关联规则。广义空间关联规则包括与参考空间对象和任务相关的空间对象相关联的空间信息和非空间信息。

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

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.

8. 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。

9. 发明申请

US20120121170A1 OBJECT DETECTION SYSTEM BASED ON A POOL OF ADAPTIVE FEATURES 有权
标题翻译：基于自适应特征的对象检测系统
公开(公告)号：US20120121170A1
公开(公告)日：2012-05-17
申请号：US13353485
申请日：2012-01-19
申请人： Rogerio S. Feris , Arun Hampapur , Ying-Li Tian
发明人： Rogerio S. Feris , Arun Hampapur , Ying-Li Tian
IPC分类号： G06K9/62
CPC分类号： G06K9/6228
摘要： A method, system and computer program product for detecting presence of an object in an image are disclosed. According to an embodiment, a method for detecting a presence of an object in an image comprises: receiving multiple training image samples; determining a set of adaptive features for each training image sample, the set of adaptive features matching the local structure of each training image sample; integrating the sets of adaptive features of the multiple training image samples to generate an adaptive feature pool; determining a general feature based on the adaptive feature pool; and examining the image using a classifier determined based on the general feature to detect the presence of the object.
摘要翻译：公开了一种用于检测图像中的对象的存在的方法，系统和计算机程序产品。根据实施例，用于检测图像中的对象的存在的方法包括：接收多个训练图像样本; 确定每个训练图像样本的一组自适应特征，与每个训练图像样本的局部结构匹配的一组自适应特征; 整合多个训练图像样本的自适应特征的集合以生成自适应特征池; 基于自适应特征池确定一般特征; 以及使用基于一般特征确定的分类器来检查图像以检测对象的存在。

10. 发明申请

US20100106707A1 INDEXING AND SEARCHING ACCORDING TO ATTRIBUTES OF A PERSON 有权
标题翻译：根据个人的特征进行索引和搜索
公开(公告)号：US20100106707A1
公开(公告)日：2010-04-29
申请号：US12260418
申请日：2008-10-29
申请人： Lisa M. Brown , Raymond A. Cooke , Rogerio S. Feris , Arun Hampapur , Frederik C. M. Kjeldsen , Christopher S. Milite , Stephen R. Russo , Chiao-Fe Shu , Ying-li Tian , Yun Zhai , Zuoxuan Lu
发明人： Lisa M. Brown , Raymond A. Cooke , Rogerio S. Feris , Arun Hampapur , Frederik C. M. Kjeldsen , Christopher S. Milite , Stephen R. Russo , Chiao-Fe Shu , Ying-li Tian , Yun Zhai , Zuoxuan Lu
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/30793 , G06K9/6254
摘要： An approach that indexes and searches according to a set of attributes of a person is provided. In one embodiment, there is an extensible indexing and search tool, including an extraction component configured to extract a set of attributes of a person monitored by a set of sensors in a zone of interest. An index component is configured to index each of the set of attributes of the person within an index of an extensible indexing and search tool. A search component is configured to enable a search of the index of the extensible indexing and search tool according to at least one of the set of attributes of the person.
摘要翻译：提供了一种根据人的一组属性进行索引和搜索的方法。在一个实施例中，存在可扩展索引和搜索工具，其包括提取组件，其被配置为提取由感兴趣区域中的一组传感器监视的人的一组属性。索引组件被配置为对可扩展索引和搜索工具的索引内的人的一组属性进行索引。搜索组件被配置为根据人的一组属性中的至少一个来启用对可扩展索引和搜索工具的索引的搜索。

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