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11. 发明授权

US08966384B2 Apparatus and method for displaying energy-related information 有权
标题翻译：用于显示能量相关信息的装置和方法
公开(公告)号：US08966384B2
公开(公告)日：2015-02-24
申请号：US12259959
申请日：2008-10-28
申请人： Jeffrey M. Rye , Wendy K. Foslien , Steven D. Gabel , Geoffrey Ho , Karel Marik , Josef Rieger
发明人： Jeffrey M. Rye , Wendy K. Foslien , Steven D. Gabel , Geoffrey Ho , Karel Marik , Josef Rieger
IPC分类号： G06F3/048 , G05B23/02
CPC分类号： G05B23/0216
摘要： A method includes receiving energy-related information associated with multiple elements in a hierarchically-arranged domain. The method also includes determining a value of an energy-related metric for each of the elements using the energy-related information. The method further includes generating a graphical user interface using the metric values and presenting the graphical user interface to a user. The graphical user interface includes a treemap having multiple sections, each associated with one of the elements. The graphical user interface also includes a graph displaying energy-related information associated with a selected element. A size of each section in the treemap could be based on a size, importance, energy usage, and/or carbon emission of the associated element. A color and a color intensity of each section in the treemap could be based on the metric value of the associated element and/or a comparison of the absolute energy usage to a baseline.
摘要翻译：一种方法包括接收与分层布置的域中的多个元素相关联的能量相关信息。该方法还包括使用能量相关信息确定每个元件的能量相关度量的值。该方法还包括使用度量值生成图形用户界面并向用户呈现图形用户界面。图形用户界面包括具有多个部分的树状图，每个部分与一个元素相关联。图形用户界面还包括显示与所选元素相关联的能量相关信息的图。树状图中每个部分的大小可以基于相关元素的大小，重要性，能量使用和/或碳排放。树状图中每个部分的颜色和颜色强度可以基于相关元素的度量值和/或绝对能量使用与基线的比较。

12. 发明申请

US20090112532A1 Apparatus and method for displaying changes in statistical parameters in a process control system 有权
标题翻译：用于显示过程控制系统中统计参数变化的装置和方法
公开(公告)号：US20090112532A1
公开(公告)日：2009-04-30
申请号：US11978349
申请日：2007-10-29
申请人： Wendy K. Foslien , Soumitri N. Kolavennu , Dinkar Mylaraswamy , Dal Vernon Reising
发明人： Wendy K. Foslien , Soumitri N. Kolavennu , Dinkar Mylaraswamy , Dal Vernon Reising
IPC分类号： G06F17/10
CPC分类号： G06F3/04812 , G05B15/02 , G05B23/0267 , G06F17/18 , G06F17/30572 , G06F17/30958 , G06F17/30994 , G06T11/206
摘要： At least one statistical output associated with a process model and a rate of change associated with each statistical output is identified, such as by using historical data associated with the process model. The statistical outputs and the rates of change are used to generate a graphical display, such as a phase plane plot. Each point in the display is based on one of the statistical outputs and its associated rate of change. The graphical display could include multiple portions, such as quadrants, and one of the portions can be selected and highlighted. The different portions of the graphical display may represent whether the process model is a poor fit to current conditions and approaching a better fit, a poor fit and approaching a poorer fit, a good fit and approaching a poorer fit, and a good fit and approaching a better fit.
摘要翻译：识别与过程模型相关联的至少一个统计输出和与每个统计输出相关联的变化率，例如通过使用与过程模型相关联的历史数据。统计输出和变化率用于生成图形显示，如相平面图。显示屏中的每个点都是基于统计输出和相关联的变化率之一。图形显示可以包括多个部分，例如象限，并且可以选择和突出显示部分之一。图形显示的不同部分可以表示过程模型是否不适合当前条件并且接近更好的拟合，差的拟合并且接近较差的拟合，良好的拟合和接近较差的拟合以及良好的拟合和接近更好的适合

13. 发明申请

US20070282777A1 Automatic fault classification for model-based process monitoring 有权
标题翻译：基于模型的过程监控的自动故障分类
公开(公告)号：US20070282777A1
公开(公告)日：2007-12-06
申请号：US11442857
申请日：2006-05-30
申请人： Valerie Guralnik , Wendy K. Foslien
发明人： Valerie Guralnik , Wendy K. Foslien
IPC分类号： G06N5/02
CPC分类号： G05B23/0254 , G05B23/0281 , G06K9/622
摘要： A computer implemented method, system and program product for automatic fault classification. A set of abnormal data can be automatically grouped based on sensor contribution to a prediction error. A principal component analysis (PCA) model of normal behavior can then be applied to a set of newly generated data, in response to automatically grouping the set of abnormal data based on the sensor contribution to the prediction error. Data points can then be identified, which are indicative of abnormal behavior. Such an identification step can occur in response to applying the principal component analysis mode of normal behavior to the set of newly generated data in order to cluster and classify the data points in order to automatically classify one or more faults thereof. The data points are automatically clustered, in order to identify a set of similar events, in response to identifying the data points indicative of abnormal behavior.
摘要翻译：一种用于自动故障分类的计算机实现方法，系统和程序产品。可以根据对预测误差的传感器贡献自动分组一组异常数据。因此，正常行为的主成分分析（PCA）模型可以应用于一组新生成的数据，以响应于基于传感器对预测误差的贡献自动地对该组异常数据进行分组。然后可以识别数据点，这表示异常行为。这样的识别步骤可以响应于将正常行为的主成分分析模式应用于新生成的数据集，以便对数据点进行聚类和分类，以便自动分类其一个或多个故障。响应于识别指示异常行为的数据点，数据点被自动聚类，以便识别一组类似的事件。

14. 发明授权

US06754388B1 Content-based retrieval of series data 有权
标题翻译：基于内容的系列数据检索
公开(公告)号：US06754388B1
公开(公告)日：2004-06-22
申请号：US09346245
申请日：1999-07-01
申请人： Wendy K. Foslien , Steven A. Harp , Kamakshi Lakshminarayan , Dinkar A. Mylaraswamy
发明人： Wendy K. Foslien , Steven A. Harp , Kamakshi Lakshminarayan , Dinkar A. Mylaraswamy
IPC分类号： G06K962
CPC分类号： G06F17/30539 , G06F17/30548 , G06K9/00536
摘要： A graphical user interface (GUI) is used to quickly and easily find data patterns within a data sequence that match a target data pattern representing an event of interest. The user first specifies the target data pattern either by dragging a cursor over the target or by selecting the target from a palette of predefined trend patterns. Search criteria, such as a match threshold and amplitude and duration constraints, are then specified. A pattern recognition technique is then used to find data patterns within the data sequence that satisfy the search criteria. These matching data patterns are then presented to the user ranked by similarity, avoiding the need for the user to sift through large amounts of irrelevant data. Particular pattern recognition algorithms are also disclosed.
摘要翻译：图形用户界面（GUI）用于快速且容易地找到与表示感兴趣事件的目标数据模式相匹配的数据序列内的数据模式。用户首先通过将光标拖到目标上或通过从预定义趋势图案的调色板中选择目标来指定目标数据模式。然后指定搜索条件，例如匹配阈值和幅度和持续时间约束。然后使用模式识别技术来查找满足搜索条件的数据序列内的数据模式。然后将这些匹配的数据模式呈现给按相似度排列的用户，避免了用户筛选大量不相关数据的需要。还公开了特定的模式识别算法。

15. 发明授权

US4971136A Dual fuel heat pump controller 失效
标题翻译：双燃料热泵控制器
公开(公告)号：US4971136A
公开(公告)日：1990-11-20
申请号：US441977
申请日：1989-11-28
申请人： Anoop Mathur , Wendy K. Foslien
发明人： Anoop Mathur , Wendy K. Foslien
IPC分类号： F24D19/10 , G05D23/19 , H02J3/14
CPC分类号： F24D19/1039 , G05D23/1919 , H02J3/14 , Y02B30/762 , Y02B70/3225 , Y02B70/3275 , Y04S20/222 , Y04S20/244 , Y10T307/43 , Y10T307/438
摘要： An operating system for a dual fuel heating system having first and second heat pump stages, first and second gas furnace stages, an executive controller for tracking time increments and call control strategies at appropriate levels, a demand control for calculating the amount of time each heat pump can be on during a predetermined time window, a data storage apparatus, a thermostat, a first predicting module for predicting non-heat pump electrical load based on a moving average, a second predicting module for predicting heat load based on a moving average, and a limiting module for setting demand limits for off-peak, mid-peak and peak periods. The executive controller is operated to initiate operation of the foregoing routines to determine, based on historical building profile information including non-heat pump electric power information the availability of heat pump power with no increase in demand charges during any given incremental interval. In a further aspect of the invention, break even points are calculated to determine the economic feasibility of increasing the demand set point incrementally in a dual fuel system. The system integrates intelligent demand logic and conventional thermostat logic algorithms into a dual fuel control system.
摘要翻译：一种用于具有第一和第二热泵级的第一和第二热泵级的双燃料加热系统的操作系统，用于跟踪时间增量的执行控制器和适当水平的呼叫控制策略，用于计算每个热量的时间量的需求控制泵可以在预定时间窗口内打开，数据存储装置，恒温器，用于基于移动平均预测非热泵电负载的第一预测模块，用于基于移动平均预测热负荷的第二预测模块，以及为非高峰期，中期和高峰期设定需求限制的限制模块。执行控制器被操作以启动上述例程的操作，以基于包括非热泵电力信息的历史建筑物简档信息来确定在任何给定的增量间隔期间不增加需求费用的热泵功率的可用性。在本发明的另一方面，计算休息点以确定在双燃料系统中递增地增加需求设定点的经济可行性。该系统将智能需求逻辑和常规恒温逻辑算法集成到双燃料控制系统中。

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