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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
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.
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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
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。
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公开(公告)号:US08929585B2
公开(公告)日:2015-01-06
申请号:US12955944
申请日:2010-11-30
CPC分类号: G06K9/00476 , G06K9/0063 , G06K9/52 , G06Q10/06311 , G06Q90/00 , G06T7/30 , G06T11/60 , G06T2207/10032 , G06T2207/30184
摘要: An approach that detects locations of hazardous conditions within an infrastructure is provided. This approach uses satellite imagery, GIS data, automatic image processing, and predictive modeling to determine the location of the hazards automatically, thus optimizing infrastructure management. Specifically, a hazard detection tool provides this capability. The hazard detection tool comprises a detection component configured to: receive visual media containing asset location data about a set of physical assets, and hazard location data about potential hazards within a vicinity of each of the set of physical assets. The detection component further receives graphical information system (GIS) data containing asset location data about each of the set of physical assets. The hazard detection tool further comprises an analysis component configured to: analyze the visual media to determine if a hazardous condition exists for each of the set of physical assets; and apply the GIS data to the visual media to determine a location of hazardous conditions within the infrastructure.
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公开(公告)号:US20120134527A1
公开(公告)日:2012-05-31
申请号:US12955944
申请日:2010-11-30
IPC分类号: G06K9/00
CPC分类号: G06K9/00476 , G06K9/0063 , G06K9/52 , G06Q10/06311 , G06Q90/00 , G06T7/30 , G06T11/60 , G06T2207/10032 , G06T2207/30184
摘要: An approach that detects locations of hazardous conditions within an infrastructure is provided. This approach uses satellite imagery, GIS data, automatic image processing, and predictive modeling to determine the location of the hazards automatically, thus optimizing infrastructure management. Specifically, a hazard detection tool provides this capability. The hazard detection tool comprises a detection component configured to: receive visual media containing asset location data about a set of physical assets, and hazard location data about potential hazards within a vicinity of each of the set of physical assets. The detection component further receives graphical information system (GIS) data containing asset location data about each of the set of physical assets. The hazard detection tool further comprises an analysis component configured to: analyze the visual media to determine if a hazardous condition exists for each of the set of physical assets; and apply the GIS data to the visual media to determine a location of hazardous conditions within the infrastructure.
摘要翻译: 提供了一种检测基础设施内危险状况位置的方法。 这种方法使用卫星图像,GIS数据,自动图像处理和预测建模来自动确定危害位置,从而优化基础设施管理。 具体来说,危害检测工具提供了这一功能。 所述危险检测工具包括检测部件,所述检测部件被配置为:接收包含关于一组物理资产的资产位置数据的视觉媒体,以及关于所述一组物理资产的附近的潜在危险的危险位置数据。 检测组件还接收关于每组物理资产的资产位置数据的图形信息系统(GIS)数据。 所述危险检测工具还包括分析部件,其被配置为:分析所述视觉介质以确定所述一组物理资产中是否存在危险状况; 并将GIS数据应用于视觉媒体,以确定基础设施内危险状况的位置。
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