专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20130073273A1 CALIBRATING ALGORITHMS FOR DETERMINING ELECTRICAL LOAD AND LIFESTYLE CHARACTERISTICS 有权
标题翻译：用于确定电气负载和生活方式特性的校准算法
公开(公告)号：US20130073273A1
公开(公告)日：2013-03-21
申请号：US13418308
申请日：2012-03-12
申请人： Michael A. Madrazo , Michelle R. Keim , Jack E. Mott , Paul D. Mendoza
发明人： Michael A. Madrazo , Michelle R. Keim , Jack E. Mott , Paul D. Mendoza
IPC分类号： G06G7/635
CPC分类号： G05B17/02 , G01D4/002 , G05B2219/2642 , Y02B70/3266 , Y02B90/241 , Y04S20/20 , Y04S20/221 , Y04S20/242 , Y04S20/32 , Y04S20/38
摘要： An apparatus, system, and method are disclosed for calibrating algorithms for determining electrical load and lifestyle characteristics. A model creation module creates an electrical usage model that includes an electrical device usage model for each electrical load assumed to be at simulated premises (an assumed load set). The simulated premises include characteristics from actual premises within an area serviced by an electric utility. A simulation module simulates a number of simulated electrical usages for a number of assumed load sets at the simulated premises. A load prediction module determines if a particular type of load is present within each simulated premises using a load prediction algorithm that includes algorithm parameters. An accuracy module determines an accuracy of the load prediction algorithm and an adjustment module adjusts the algorithm parameters of the load prediction algorithm in response to the determined accuracy.
摘要翻译：公开了用于校准用于确定电负载和生活方式特性的算法的装置，系统和方法。模型创建模块创建一个电气使用模型，该模型包括假设为在模拟场所（假设负载集合）的每个电力负载的电气设备使用模型。模拟房屋包括由电力公司服务的区域内的实际房屋的特征。仿真模块模拟了模拟场所中多个假定负载集的多个模拟电气用途。负载预测模块使用包括算法参数的负载预测算法来确定每个模拟房屋内是否存在特定类型的负载。准确度模块确定负载预测算法的精度，并且调整模块响应于所确定的精度来调整负载预测算法的算法参数。

2. 发明授权

US08103672B2 Apparatus, system, and method for determining a partial class membership of a data record in a class 有权
标题翻译：用于确定类中的数据记录的部分类成员资格的装置，系统和方法
公开(公告)号：US08103672B2
公开(公告)日：2012-01-24
申请号：US12469599
申请日：2009-05-20
申请人： Jack E. Mott , Michael A. Madrazo
发明人： Jack E. Mott , Michael A. Madrazo
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/30598 , Y10S707/955
摘要： An apparatus, system, and method are disclosed for determining a partial class membership of a data record in a class. The apparatus includes a record set acquisition module that receives a set of reference records having the same independent variables and belonging to a known class within a group of classes. An unknown-class record receiving module receives an unknown-class record having same independent variables as reference records. A class identification module creates a class vector for each reference record identifying whether the record is in a class. A weighting module calculates a set of unknown-class record weights for the unknown-class record. A classification module determines a partial class membership for the unknown-class record for each class in the group of classes using the set of unknown-class record weights. Each partial class membership identifies a probability that the unknown-class record belongs to a corresponding class in the group of classes.
摘要翻译：公开了一种用于确定类中的数据记录的部分类成员资格的装置，系统和方法。该装置包括记录集获取模块，其接收具有相同独立变量并且属于一组类中的已知类的一组参考记录。未知类记录接收模块接收具有与参考记录相同的独立变量的未知类记录。类识别模块为每个参考记录创建一个类向量，以识别该记录是否在一个类中。加权模块计算未知类记录的一组未知类记录权重。分类模块使用一组未知类记录权重来确定该组类中的每个类的未知类记录的部分类成员资格。每个部分类成员标识未知类记录属于类组中相应类的概率。

3. 发明申请

US20100299294A1 APPARATUS, SYSTEM, AND METHOD FOR DETERMINING A PARTIAL CLASS MEMBERSHIP OF A DATA RECORD IN A CLASS 有权
标题翻译：用于确定类别中数据记录的部分类成员的装置，系统和方法
公开(公告)号：US20100299294A1
公开(公告)日：2010-11-25
申请号：US12469599
申请日：2009-05-20
申请人： Jack E. Mott , Michael A. Madrazo
发明人： Jack E. Mott , Michael A. Madrazo
IPC分类号： G06N3/08 , G06F15/18 , G06F17/30
CPC分类号： G06F17/30598 , Y10S707/955
摘要： An apparatus, system, and method are disclosed for determining a partial class membership of a data record in a class. The apparatus includes a record set acquisition module that receives a set of reference records having the same independent variables and belonging to a known class within a group of classes. An unknown-class record receiving module receives an unknown-class record having same independent variables as reference records. A class identification module creates a class vector for each reference record identifying whether the record is in a class. A weighting module calculates a set of unknown-class record weights for the unknown-class record. A classification module determines a partial class membership for the unknown-class record for each class in the group of classes using the set of unknown-class record weights. Each partial class membership identifies a probability that the unknown-class record belongs to a corresponding class in the group of classes.
摘要翻译：公开了一种用于确定类中的数据记录的部分类成员资格的装置，系统和方法。该装置包括记录集获取模块，其接收具有相同独立变量并且属于一组类中的已知类的一组参考记录。未知类记录接收模块接收具有与参考记录相同的独立变量的未知类记录。类识别模块为每个参考记录创建一个类向量，以识别该记录是否在一个类中。加权模块计算未知类记录的一组未知类记录权重。分类模块使用一组未知类记录权重来确定该组类中的每个类的未知类记录的部分类成员资格。每个部分类成员标识未知类记录属于类组中相应类的概率。

4. 发明授权

US09377766B2 Determining electrical load and lifestyle characteristics 有权
标题翻译：确定电力负荷和生活方式特征
公开(公告)号：US09377766B2
公开(公告)日：2016-06-28
申请号：US13418304
申请日：2012-03-12
申请人： Michael A. Madrazo , Michelle R. Keim , Jack E. Mott , Paul D. Mendoza
发明人： Michael A. Madrazo , Michelle R. Keim , Jack E. Mott , Paul D. Mendoza
IPC分类号： G06F1/26 , G05B17/02 , G01D4/00
CPC分类号： G05B17/02 , G01D4/002 , G05B2219/2642 , Y02B70/3266 , Y02B90/241 , Y04S20/20 , Y04S20/221 , Y04S20/242 , Y04S20/32 , Y04S20/38
摘要： An apparatus, system, and method are disclosed for determining electrical load and lifestyle characteristics. A record receiving module receives an electrical energy usage record for premises for a predefined time period (“record period”), and receives property characteristics for the premises. The property characteristics include physical characteristics for the premises, environmental characteristics for the premises for the record period, and/or lifestyle characteristics of users of the premises. A load identification module selects a load prediction algorithm to determine if a particular type of electrical load is present at the premises. A comparison module applies the load prediction algorithm to the electrical energy usage record for the premises for at least a portion of the record period (“comparison period”) to determine if the particular type of electrical load is present at the premises. The load prediction algorithm uses the property characteristics of the premises during the comparison period.
摘要翻译：公开了用于确定电负荷和生活方式特征的装置，系统和方法。记录接收模块在预定时间段（“记录周期”）中接收房屋的电能使用记录，并且接收房屋的属性特性。财产特征包括房屋的物理特性，房屋的环境特征以及/或房屋使用者的生活方式特征。负载识别模块选择负载预测算法来确定在房屋处是否存在特定类型的电负载。比较模块将负载预测算法应用于场地的电能使用记录，用于记录周期的至少一部分（“比较周期”），以确定在该场所是否存在特定类型的电负载。负荷预测算法在比较期间使用房屋的特性。

5. 发明授权

US09081374B2 Calibrating algorithms for determining electrical load and lifestyle characteristics 有权
标题翻译：用于确定电气负载和生活方式特征的校准算法
公开(公告)号：US09081374B2
公开(公告)日：2015-07-14
申请号：US13418308
申请日：2012-03-12
申请人： Michael A. Madrazo , Jack E. Mott , Michelle R. Keim , Paul D. Mendoza
发明人： Michael A. Madrazo , Jack E. Mott , Michelle R. Keim , Paul D. Mendoza
IPC分类号： G06F17/10 , G05B17/02
CPC分类号： G05B17/02 , G01D4/002 , G05B2219/2642 , Y02B70/3266 , Y02B90/241 , Y04S20/20 , Y04S20/221 , Y04S20/242 , Y04S20/32 , Y04S20/38
摘要： An apparatus, system, and method are disclosed for calibrating algorithms for determining electrical load and lifestyle characteristics. A model creation module creates an electrical usage model that includes an electrical device usage model for each electrical load assumed to be at simulated premises (an assumed load set). The simulated premises include characteristics from actual premises within an area serviced by an electric utility. A simulation module simulates a number of simulated electrical usages for a number of assumed load sets at the simulated premises. A load prediction module determines if a particular type of load is present within each simulated premises using a load prediction algorithm that includes algorithm parameters. An accuracy module determines an accuracy of the load prediction algorithm and an adjustment module adjusts the algorithm parameters of the load prediction algorithm in response to the determined accuracy.
摘要翻译：公开了用于校准用于确定电负载和生活方式特性的算法的装置，系统和方法。模型创建模块创建一个电气使用模型，该模型包括假设为在模拟场所（假设负载集合）的每个电力负载的电气设备使用模型。模拟房屋包括由电力公司服务的区域内的实际房屋的特征。仿真模块模拟了模拟场所中多个假定负载集的多个模拟电气用途。负载预测模块使用包括算法参数的负载预测算法来确定每个模拟房屋内是否存在特定类型的负载。准确度模块确定负载预测算法的精度，并且调整模块响应于所确定的精度来调整负载预测算法的算法参数。

6. 发明申请

US20120316807A1 DETERMINING ELECTRICAL LOAD AND LIFESTYLE CHARACTERISTICS 有权
标题翻译：确定电力负荷和生活方式特性
公开(公告)号：US20120316807A1
公开(公告)日：2012-12-13
申请号：US13418304
申请日：2012-03-12
申请人： Michael A. Madrazo , Michelle R. Keim , Jack E. Mott , Paul D. Mendoza
发明人： Michael A. Madrazo , Michelle R. Keim , Jack E. Mott , Paul D. Mendoza
IPC分类号： G06F19/00
CPC分类号： G05B17/02 , G01D4/002 , G05B2219/2642 , Y02B70/3266 , Y02B90/241 , Y04S20/20 , Y04S20/221 , Y04S20/242 , Y04S20/32 , Y04S20/38
摘要： An apparatus, system, and method are disclosed for determining electrical load and lifestyle characteristics. A record receiving module receives an electrical energy usage record for premises for a predefined time period (“record period”), and receives property characteristics for the premises. The property characteristics include physical characteristics for the premises, environmental characteristics for the premises for the record period, and/or lifestyle characteristics of users of the premises. A load identification module selects a load prediction algorithm to determine if a particular type of electrical load is present at the premises. A comparison module applies the load prediction algorithm to the electrical energy usage record for the premises for at least a portion of the record period (“comparison period”) to determine if the particular type of electrical load is present at the premises. The load prediction algorithm uses the property characteristics of the premises during the comparison period.
摘要翻译：公开了用于确定电负荷和生活方式特征的装置，系统和方法。记录接收模块在预定时间段（记录周期）内接收房屋的电能使用记录，并且接收房屋的属性特性。财产特征包括房屋的物理特性，房屋的环境特征以及/或房屋使用者的生活方式特征。负载识别模块选择负载预测算法来确定在房屋处是否存在特定类型的电负载。比较模块将负载预测算法应用于场地的电能使用记录，用于记录周期的至少一部分（比较周期），以确定特定类型的电负荷是否存在于房屋处。负荷预测算法在比较期间使用房屋的特性。

7. 发明授权

US07818131B2 Non-parametric modeling apparatus and method for classification, especially of activity state 有权
标题翻译：非参数建模装置和分类方法，特别是活动状态
公开(公告)号：US07818131B2
公开(公告)日：2010-10-19
申请号：US11455495
申请日：2006-06-19
申请人： Jack E. Mott
发明人： Jack E. Mott
IPC分类号： G01N33/48
CPC分类号： G16H50/70 , G06F19/00
摘要： The activity state classification method of the present invention employs a kernel-based modeling technique, and more specifically a set of similarity-based models, which have been created using example data, to process an input observation or set of input observations, each comprising a set of sensor readings or “features” derived there from or other data, to predict the activity state of a person from whom the sensor data was obtained. A model is created for each class of activity. The input data is processed by each model and the resulting predictions are combined to yield a final prediction of which state of activity is represented by the input data.
摘要翻译：本发明的活动状态分类方法使用基于内核的建模技术，更具体地，使用已经使用示例数据创建的基于相似度的模型集合来处理输入观察或输入观察集，每个包括传感器读数或从其导出的“特征”或其他数据，以预测获得传感器数据的人的活动状态。为每一类活动创建一个模型。输入数据由每个模型处理，并将所得到的预测组合起来，以产生由输入数据表示的活动状态的最终预测。

8. 发明授权

US5764509A Industrial process surveillance system 失效
标题翻译：工业过程监控系统
公开(公告)号：US5764509A
公开(公告)日：1998-06-09
申请号：US666938
申请日：1996-06-19
申请人： Kenneth C. Gross , Stephan W. Wegerich , Ralph M. Singer , Jack E. Mott
发明人： Kenneth C. Gross , Stephan W. Wegerich , Ralph M. Singer , Jack E. Mott
IPC分类号： G05B13/02 , G05B9/02 , G05B13/04 , G05B23/02
CPC分类号： G05B23/0254 , G05B23/0262
摘要： A system and method for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy.
摘要翻译：一种用于监测工业过程和/或工业数据源的系统和方法。该系统包括从工业数据源生成时变数据，处理数据以获得数据的时间相关性，确定数据范围，确定正常操作的学习状态并使用这些状态来产生期望值，将预期值与当前值进行比较实际值来识别当前状态的最接近学习的正常状态; 生成一组建模数据，并处理建模数据以识别数据模式，并在检测到与正常偏差之间产生报警。

9. 发明申请

US20110029250A1 Non-Parametric Modeling Apparatus and Method for Classification, Especially of Activity State 有权
标题翻译：非参数建模装置和分类方法，特别是活动状态
公开(公告)号：US20110029250A1
公开(公告)日：2011-02-03
申请号：US12898883
申请日：2010-10-06
申请人： Jack E. Mott
发明人： Jack E. Mott
IPC分类号： G06F15/00 , G06G7/48
CPC分类号： G16H50/70 , G06F19/00
摘要： The activity state classification method of the present invention employs a kernel-based modeling technique, and more specifically a set of similarity-based models, which have been created using example data, to process an input observation or set of input observations, each comprising a set of sensor readings or “features” derived there from or other data, to predict the activity state of a person from whom the sensor data was obtained. A model is created for each class of activity. The input data is processed by each model and the resulting predictions are combined to yield a final prediction of which state of activity is represented by the input data.
摘要翻译：本发明的活动状态分类方法使用基于内核的建模技术，更具体地，使用已经使用示例数据创建的基于相似度的模型集合来处理输入观察或输入观察集，每个包括传感器读数或从其导出的“特征”或其他数据，以预测获得传感器数据的人的活动状态。为每一类活动创建一个模型。输入数据由每个模型处理，并将所得到的预测组合起来，以产生由输入数据表示的活动状态的最终预测。

10. 发明授权

US06181975B2 Industrial process surveillance system 失效
标题翻译：工业过程监控系统
公开(公告)号：US06181975B2
公开(公告)日：2001-01-30
申请号：US09028443
申请日：1998-02-24
申请人： Kenneth C. Gross , Stephan W Wegerich , Ralph M. Singer , Jack E. Mott
发明人： Kenneth C. Gross , Stephan W Wegerich , Ralph M. Singer , Jack E. Mott
IPC分类号： G05B1302
CPC分类号： G05B23/0254 , G05B23/0262
摘要： A system and method for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy.
摘要翻译：一种用于监测工业过程和/或工业数据源的系统和方法。该系统包括从工业数据源生成时变数据，处理数据以获得数据的时间相关性，确定数据范围，确定正常操作的学习状态并使用这些状态来产生期望值，将预期值与当前值进行比较实际值来识别当前状态的最接近学习的正常状态; 生成一组建模数据，并处理建模数据以识别数据模式，并在检测到与正常偏差之间产生报警。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式