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公开(公告)号:US20170004407A1
公开(公告)日:2017-01-05
申请号:US15265551
申请日:2016-09-14
CPC分类号: G08B13/22 , G05B13/0275 , G06F21/52 , G06F2221/034 , G06N5/048 , G06N7/005 , G06N20/00 , G06Q10/08 , G06Q10/0833 , G06Q30/02 , G06Q50/26 , G06Q50/28 , G06Q50/30 , G07C5/008 , G07C5/085 , G07C5/0891 , G07C9/00087 , G07C9/00158 , G07C2009/0092 , G07F7/0636 , G07G1/0036 , G07G3/00 , G08B13/196 , G08B13/2454 , G08B21/02 , G08B21/12 , G08B25/14 , G08B29/04 , G08B29/16 , H04K3/22 , H04L9/3236 , H04L9/3247 , H04L63/0428 , H04L63/10 , H04L63/101 , H04L67/025 , H04L67/12 , H04L67/18 , H04L67/22 , H04L2209/805 , H04N7/181
摘要: Methods and apparatus for providing a comprehensive decision support system to include predictions, recommendations with consequences and optimal follow-up actions in specific situations are described. Data is obtained from multiple disparate data sources, depending on the information deemed necessary for the situation being modeled. The decision support system provides a prediction or predictions and a recommendation or a choice of recommendations based on the correlative analysis and/or other analyses. Also described are methods and apparatus for developing application specific decision support models. The decision support model development process may include identifying multiple disparate data sources for retrieval of related information, selection of classification variables to be retrieved from the data sources, assignment of weights to each classification variable, selecting and/or defining rules, and selecting and/or defining analysis functions.
摘要翻译: 描述了提供综合决策支持系统的方法和设备,以包括具体情况下的预测,建议与后果以及最佳后续行动。 数据是从多个不同的数据源获得的,这取决于被认为是建模情况所必需的信息。 决策支持系统基于相关分析和/或其他分析提供预测或预测,以及建议或选择建议。 还描述了用于开发应用特定决策支持模型的方法和装置。 决策支持模型开发过程可以包括识别用于检索相关信息的多个不同数据源,从数据源检索的分类变量的选择,对每个分类变量的权重分配,选择和/或定义规则,以及选择和/ 或定义分析功能。
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公开(公告)号:US20170024988A1
公开(公告)日:2017-01-26
申请号:US15287464
申请日:2016-10-06
CPC分类号: G08B13/22 , G05B13/0275 , G06F21/52 , G06F2221/034 , G06N5/048 , G06N7/005 , G06N20/00 , G06Q10/08 , G06Q10/0833 , G06Q30/02 , G06Q50/26 , G06Q50/28 , G06Q50/30 , G07C5/008 , G07C5/085 , G07C5/0891 , G07C9/00087 , G07C9/00158 , G07C2009/0092 , G07F7/0636 , G07G1/0036 , G07G3/00 , G08B13/196 , G08B13/2454 , G08B21/02 , G08B21/12 , G08B25/14 , G08B29/04 , G08B29/16 , H04K3/22 , H04L9/3236 , H04L9/3247 , H04L63/0428 , H04L63/10 , H04L63/101 , H04L67/025 , H04L67/12 , H04L67/18 , H04L67/22 , H04L2209/805 , H04N7/181
摘要: Methods and apparatus for monitoring remotely located objects with a system including at least one master data collection unit, remote sensor units, and a central data collection server are described. The master unit is configured to monitor any object, mobile or stationary, including monitoring multiple remote sensor units associated with the monitored objects. The master unit may be in a fixed location or attached to a mobile object. The master unit is configured for monitoring objects that enter and leave an area. The master unit may act as a parent controller for one or more child devices including remote sensors or monitors of measurable conditions including environmental conditions, substance identification, product identification, and/or biometric identification. The master unit may discover remote sensor units as they enter or leave the area where the master unit is located. The master unit can be remotely reprogrammed such as with authenticated instructions.
摘要翻译: 描述了利用包括至少一个主数据收集单元,远程传感器单元和中央数据收集服务器的系统监视远程目标的方法和装置。 主单元被配置为监视任何物体,移动或静止,包括监视与被监视对象相关联的多个远程传感器单元。 主单元可以处于固定位置或附接到移动对象。 主单元被配置为监视进入和离开区域的对象。 主单元可以用作一个或多个子设备的父控制器,包括远程传感器或可测量条件的监视器,包括环境条件,物质识别,产品标识和/或生物识别。 遥控传感器单元进入或离开主单元所在的区域时,主单元可能会发现远程传感器单元。 主单元可以远程重新编程,如通过认证指令。
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公开(公告)号:US20230401945A1
公开(公告)日:2023-12-14
申请号:US18150495
申请日:2023-01-05
IPC分类号: G08B13/22 , G06N20/00 , H04L9/32 , H04L9/40 , G08B13/24 , G08B21/12 , H04K3/00 , G07G1/00 , G07C5/00 , G07G3/00 , G08B13/196 , G08B25/14 , G06Q50/28 , G07C5/08 , G07F7/06 , G06Q30/02 , G08B29/16 , G06Q50/30 , H04N7/18 , G06Q50/26 , G05B13/02 , G06Q10/08 , G08B21/02 , H04L67/025 , H04L67/12 , G06F11/20 , G07C9/25 , H04L67/52 , H04L67/50 , G06N7/01 , G06N5/048 , G06F21/52 , G06Q10/0833
CPC分类号: G08B13/22 , G06N20/00 , H04L9/3236 , H04L9/3247 , H04L63/0428 , G08B13/2454 , G08B21/12 , H04K3/22 , G07G1/0036 , G07C5/008 , G07G3/00 , H04L63/10 , G08B13/196 , G08B25/14 , G06Q50/28 , G07C5/085 , G07F7/0636 , G06Q30/02 , G08B29/16 , G06Q50/30 , H04N7/181 , G06Q50/26 , G05B13/0275 , G06Q10/08 , G08B21/02 , H04L67/025 , H04L67/12 , G06F11/202 , G07C9/257 , H04L67/52 , H04L67/535 , G06N7/01 , G06N5/048 , G06F21/52 , G06Q10/0833 , H04L63/101 , H04L2209/805 , G07C2009/0092
摘要: Methods and apparatus for providing a comprehensive decision support system to include predictions, recommendations with consequences and optimal follow-up actions in specific situations are described. Data is obtained from multiple disparate data sources, depending on the information deemed necessary for the situation being modeled. The decision support system provides a prediction or predictions and a recommendation or a choice of recommendations based on the correlative analysis and/or other analyses. Also described are methods and apparatus for developing application specific decision support models. The decision support model development process may include identifying multiple disparate data sources for retrieval of related information, selection of classification variables to be retrieved from the data sources, assignment of weights to each classification variable, selecting and/or defining rules, and selecting and/or defining analysis functions.
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公开(公告)号:US20220237997A1
公开(公告)日:2022-07-28
申请号:US17447389
申请日:2021-09-10
IPC分类号: G08B13/22 , G06N20/00 , H04L9/32 , H04L9/40 , G08B13/24 , G08B21/12 , H04K3/00 , G07G1/00 , G07C5/00 , G07G3/00 , G08B13/196 , G08B25/14 , G06Q50/28 , G07C5/08 , G07F7/06 , G06Q30/02 , G08B29/16 , G06Q50/30 , H04N7/18 , G06Q50/26 , G05B13/02 , G06Q10/08 , G08B21/02 , H04L67/52 , H04L67/025 , H04L67/50 , H04L67/12 , G06F11/20 , G07C9/25 , G06N5/04 , G06F21/52 , G06N7/00
摘要: Methods and apparatus for monitoring remotely located objects with a system including at least one master data collection unit, remote sensor units, and a central data collection server are described. The master unit is configured to monitor any object, mobile or stationary, including monitoring multiple remote sensor units associated with the monitored objects. The master unit may be in a fixed location or attached to a mobile object. The master unit is configured for monitoring objects that enter and leave an area. The master unit may act as a parent controller for one or more child devices including remote sensors or monitors of measurable conditions including environmental conditions, substance identification, product identification, and/or biometric identification. The master unit may discover remote sensor units as they enter or leave the area where the master unit is located. The master unit can be remotely reprogrammed such as with authenticated instructions.
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公开(公告)号:US20200273304A1
公开(公告)日:2020-08-27
申请号:US16874493
申请日:2020-05-14
IPC分类号: G08B13/22 , G06N20/00 , H04L9/32 , H04L29/06 , G08B13/24 , G08B21/12 , H04K3/00 , G07G1/00 , G07C5/00 , G07G3/00 , G08B13/196 , G08B25/14 , G06Q50/28 , G07C5/08 , G07F7/06 , G06Q30/02 , G08B29/16 , G06Q50/30 , H04N7/18 , G06Q50/26 , G05B13/02 , G06Q10/08 , G08B21/02 , H04L29/08 , G06F11/20 , G07C9/25 , G06N5/04 , G06F21/52 , G06N7/00
摘要: Methods and apparatus for providing a comprehensive decision support system to include predictions, recommendations with consequences and optimal follow-up actions in specific situations are described. Data is obtained from multiple disparate data sources, depending on the information deemed necessary for the situation being modeled. The decision support system provides a prediction or predictions and a recommendation or a choice of recommendations based on the correlative analysis and/or other analyses. Also described are methods and apparatus for developing application specific decision support models. The decision support model development process may include identifying multiple disparate data sources for retrieval of related information, selection of classification variables to be retrieved from the data sources, assignment of weights to each classification variable, selecting and/or defining rules, and selecting and/or defining analysis functions.
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