公开(公告)号：US20150243247A1

公开(公告)日：2015-08-27

申请号：US14188099

申请日：2014-02-24

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Ming C. Hao ,  Michael Hund ,  Wei-Nchih Lee ,  Halldor Janetzko ,  Nelson L. Chang ,  Daniel Keim ,  Sebastian Mittelstaedt

IPC: G09G5/02 ,  G06T11/20 ,  G06T3/40 ,  G09G5/377 ,  G06T5/00

CPC classification number: G06T11/20 ,  G06F19/00 ,  G06F19/328 ,  G06K9/4652 ,  G06K9/52 ,  G06K2009/4666 ,  G06T3/0093 ,  G06T3/40 ,  G06T5/002 ,  G06T7/60 ,  G06T11/206 ,  G06T11/60 ,  G09G5/02 ,  G09G5/377 ,  G09G2340/0407 ,  G09G2340/14 ,  G16H50/80

Abstract: According to an example, in a method for displaying visual analytics of entity data, geographic locations of entities may be plotted as first pixel cells on a first region and as second pixel cells on a second region of a geographic map. A determination may be made that the first pixel cells have a higher degree of overlap with each other in the first region compared to the second pixel cells in the second region. The geographic map may be distorted to enlarge the first region and the first pixel cells may be arranged in the first region in a manner that prevents the first pixel cells from overlapping each other. A color value for each of the pixel cells may be determined from a multi-paired color map that represents two variables corresponding to the entities by color and the pixel cells may be caused to be displayed on the distorted geographic map according to the determined respective color values.

Abstract translation: 根据示例，在用于显示实体数据的视觉分析的方法中，实体的地理位置可以被绘制为第一区域上的第一像素单元，以及作为地理地图的第二区域上的第二像素单元。 可以确定与第二区域中的第二像素单元相比，第一像素单元在第一区域中具有较高的重叠程度。 地理地图可能被失真以扩大第一区域，并且第一像素单元可以以防止第一像素单元彼此重叠的方式布置在第一区域中。 每个像素单元的颜色值可以从表示根据颜色对应于实体的两个变量的多对彩色图确定，并且可以根据确定的相应颜色使像素单元显示在失真的地理图上 价值观。

公开(公告)号：US20150116329A1

公开(公告)日：2015-04-30

申请号：US14067328

申请日：2013-10-30

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Ming C. Hao ,  Wei-Nchih Lee ,  Michael Hund ,  Halldor Janetzko ,  Nelson L. Chang ,  Daniel Keim

IPC: G06T11/20

CPC classification number: G06T11/206 ,  G16H50/70 ,  G16H50/80

Abstract: A multi-attribute visualization is generated that includes non-overlapped cells that represent respective items. The cells are placed in the visualization according to geographic locations associated with the items, and the cells being assigned visual indicators to represent a first attribute of the items. The cells are arranged in clusters in the visualization, where a size of a particular one of the clusters indicates a second attribute representing a number of cases associated with a corresponding one of the items. Multiple coordinated views of the cells are presented in the visualization, the multiple views corresponding to respective different time intervals.

Abstract translation: 生成多属性可视化，其包括表示相应项目的非重叠单元格。 根据与项目相关联的地理位置，将单元格放置在可视化中，并且为单元格分配视觉指示符以表示项目的第一属性。 小区在可视化中被排列成群集，其中特定群集的大小指示表示与相应项之一相关联的多个情况的第二属性。 在可视化中呈现单元的多个协调视图，对应于各个不同时间间隔的多个视图。

公开(公告)号：US20160170611A1

公开(公告)日：2016-06-16

申请号：US14904751

申请日：2013-07-19

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： Ming C. Hao ,  Halldor Janetzko ,  Umeshwar Dayal ,  Meichun Hsu

IPC: G06F3/0484 ,  G06F3/0481 ,  G09B29/00

CPC classification number: G06F3/04842 ,  G06F3/0481 ,  G06T11/206 ,  G09B29/007

Abstract: A pattern of geocoded pixels is generated by accessing data point values, where each data point value includes an attribute value and coordinates of a geographic location. Each data point value corresponds to a geocoded pixel that is positioned on the pattern based on the coordinates of the data point value such some geocoded pixels overlap other geocoded pixels. Different levels of the pattern of geocoded pixels correspond to a different degree of overlap between the geocoded pixels. The different levels of the pattern of geocoded pixels are associated with different magnification levels of a geographic map such that changing a magnification level of the geographic map causes a degree of overlap between the geocoded pixels of the pattern to change.

Abstract translation: 通过访问数据点值来生成地理编码像素的图案，其中每个数据点值包括属性值和地理位置的坐标。 每个数据点值对应于基于数据点值的坐标定位在图案上的地理编码像素，这样一些地理编码像素与其他地理编码像素重叠。 不同级别的地理编码像素的图案对应于地理编码像素之间的不同重叠程度。 地理编码像素的图案的不同级别与地理地图的不同放大级别相关联，使得改变地理地图的放大级别导致模式的地理编码像素之间的重叠程度改变。

公开(公告)号：US10198158B2

公开(公告)日：2019-02-05

申请号：US14904751

申请日：2013-07-19

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Ming C Hao ,  Halldor Janetzko ,  Umeshwar Dayal ,  Meichun Hsu

IPC: G06T11/20 ,  G09B29/00 ,  G06F3/0481 ,  G06F3/0484

Abstract: A pattern of geocoded pixels is generated by accessing data point values, where each data point value includes an attribute value and coordinates of a geographic location. Each data point value corresponds to a geocoded pixel that is positioned on the pattern based on the coordinates of the data point value such some geocoded pixels overlap other geocoded pixels. Different levels of the pattern of geocoded pixels correspond to a different degree of overlap between the geocoded pixels. The different levels of the pattern of geocoded pixels are associated with different magnification levels of a geographic map such that changing a magnification level of the geographic map causes a degree of overlap between the geocoded pixels of the pattern to change.

公开(公告)号：US09568502B2

公开(公告)日：2017-02-14

申请号：US13912090

申请日：2013-06-06

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Ming C Hao ,  Halldor Janetzko ,  Manish Marwah ,  Umeshwar Dayal ,  Meichun Hsu ,  Daniel Keim

IPC: G06T11/20 ,  G01R13/02 ,  G06Q50/06 ,  G01D4/00

CPC classification number: G01R13/02 ,  G01D4/004 ,  G06Q50/06 ,  Y02B90/242 ,  Y02B90/245 ,  Y02B90/246 ,  Y04S20/322 ,  Y04S20/40 ,  Y04S20/42 ,  Y04S20/46

Abstract: Example embodiments relate to providing visual analytics of spatial time series data. In example embodiments, sensors may be located at regions within a building for collecting sensor data at regular time intervals. A sensor hierarchy can be generated including sensor nodes that are hierarchically arranged according to a physical infrastructure of the building, where each of the sensor nodes corresponds to a sensor. Sensor data can be obtained from the sensors, and a pixel calendar tree can be generated based on the sensor data and the sensor hierarchy, where the pixel calendar tree is recursively subdivided into tree portions according to a proportion of the sensor data attributable to each of the sensors. The pixel calendar tree can be displayed, where each of the tree portions includes time series sensor data of a corresponding region that is generated based on the sensor data.

Abstract translation: 示例性实施例涉及提供空间时间序列数据的视觉分析。 在示例实施例中，传感器可以位于建筑物内的区域，以便以规则的时间间隔收集传感器数据。 可以生成传感器层级，其包括根据建筑物的物理基础设施分层布置的传感器节点，其中每个传感器节点对应于传感器。 可以从传感器获得传感器数据，并且可以基于传感器数据和传感器层级来生成像素日历树，其中像素日历树根据归因于每个传感器数据的传感器数据的比例被递归地细分为树部分 传感器。 可以显示像素日历树，其中每个树部分包括基于传感器数据生成的相应区域的时间序列传感器数据。

公开(公告)号：US09262991B2

公开(公告)日：2016-02-16

申请号：US14188099

申请日：2014-02-24

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Ming C. Hao ,  Michael Hund ,  Wei-Nchih Lee ,  Halldor Janetzko ,  Nelson L. Chang ,  Daniel Keim ,  Sebastian Mittelstaedt

IPC: G06T11/00 ,  G06T11/60 ,  G06T11/20 ,  G06T5/00 ,  G06T3/40 ,  G09G5/02 ,  G09G5/377

CPC classification number: G06T11/20 ,  G06F19/00 ,  G06F19/328 ,  G06K9/4652 ,  G06K9/52 ,  G06K2009/4666 ,  G06T3/0093 ,  G06T3/40 ,  G06T5/002 ,  G06T7/60 ,  G06T11/206 ,  G06T11/60 ,  G09G5/02 ,  G09G5/377 ,  G09G2340/0407 ,  G09G2340/14 ,  G16H50/80

Abstract: According to an example, in a method for displaying visual analytics of entity data, geographic locations of entities may be plotted as first pixel cells on a first region and as second pixel cells on a second region of a geographic map. A determination may be made that the first pixel cells have a higher degree of overlap with each other in the first region compared to the second pixel cells in the second region. The geographic map may be distorted to enlarge the first region and the first pixel cells may be arranged in the first region in a manner that prevents the first pixel cells from overlapping each other. A color value for each of the pixel cells may be determined from a multi-paired color map that represents two variables corresponding to the entities by color and the pixel cells may be caused to be displayed on the distorted geographic map according to the determined respective color values.

Abstract translation: 根据示例，在用于显示实体数据的视觉分析的方法中，实体的地理位置可以被绘制为第一区域上的第一像素单元，以及作为地理地图的第二区域上的第二像素单元。 可以确定与第二区域中的第二像素单元相比，第一像素单元在第一区域中具有较高的重叠程度。 地理地图可能被失真以扩大第一区域，并且第一像素单元可以以防止第一像素单元彼此重叠的方式布置在第一区域中。 每个像素单元的颜色值可以从表示根据颜色对应于实体的两个变量的多对彩色图确定，并且可以根据确定的相应颜色使像素单元显示在失真的地理图上 价值观。

公开(公告)号：US20140365149A1

公开(公告)日：2014-12-11

申请号：US13912090

申请日：2013-06-06

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Ming C Hao ,  Halldor Janetzko ,  Manish Marwah ,  Umeshwar Dayal ,  Meichun Hsu ,  Daniel Keim

IPC: G01R13/02

CPC classification number: G01R13/02 ,  G01D4/004 ,  G06Q50/06 ,  Y02B90/242 ,  Y02B90/245 ,  Y02B90/246 ,  Y04S20/322 ,  Y04S20/40 ,  Y04S20/42 ,  Y04S20/46

Abstract: Example embodiments relate to providing visual analytics of spatial time series data. In example embodiments, sensors may be located at regions within a building for collecting sensor data at regular time intervals. A sensor hierarchy can be generated including sensor nodes that are hierarchically arranged according to a physical infrastructure of the building, where each of the sensor nodes corresponds to a sensor. Sensor data can be obtained from the sensors, and a pixel calendar tree can be generated based on the sensor data and the sensor hierarchy, where the pixel calendar tree is recursively subdivided into tree portions according to a proportion of the sensor data attributable to each of the sensors. The pixel calendar tree can be displayed, where each of the tree portions includes time series sensor data of a corresponding region that is generated based on the sensor data.

Abstract translation: 示例性实施例涉及提供空间时间序列数据的视觉分析。 在示例实施例中，传感器可以位于建筑物内的区域，以便以规则的时间间隔收集传感器数据。 可以生成传感器层级，其包括根据建筑物的物理基础设施分层布置的传感器节点，其中每个传感器节点对应于传感器。 可以从传感器获得传感器数据，并且可以基于传感器数据和传感器层级来生成像素日历树，其中像素日历树根据归因于每个传感器数据的传感器数据的比例被递归地细分为树部分 传感器。 可以显示像素日历树，其中每个树部分包括基于传感器数据生成的相应区域的时间序列传感器数据。

公开(公告)号：US20140325329A1

公开(公告)日：2014-10-30

申请号：US13869675

申请日：2013-04-24

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： Ming C. Hao ,  Halldor Janetzko ,  Manish Marwah ,  Umeshwar Dayal ,  Meichun Hsu ,  Daniel Keim

IPC: G06F17/24

CPC classification number: G06F17/246

Abstract: Visual analytics of multivariate data using a cell based calendar matrix having a visual folding mechanism can include forming a time based layout that is divided into cells where the cells represent measurement intervals and a color of the cells represents a measurement value, folding the time based layout into a cell based calendar matrix with other time based layouts that include other cells that represent corresponding measurement intervals in different calendar units of the cell based calendar matrix, and displaying the cell based calendar matrix in a display such that the cells of the time based layout align by time with the other cells of the other time based layouts.

Abstract translation: 使用具有视觉折叠机构的基于单元格的日历矩阵的多变量数据的视觉分析可以包括形成基于时间的布局，其被划分为单元格，其中单元表示测量间隔，并且单元格的颜色表示测量值，折叠基于时间的布局 进入具有其他基于时间的布局的基于单元的日历矩阵，其包括表示基于单元的日历矩阵的不同日历单元中的对应测量间隔的其他单元，以及在显示器中显示基于单元的日历矩阵，使得基于时间的布局 时间与其他基于时间的布局的其他单元格对齐。

公开(公告)号：US09256970B2

公开(公告)日：2016-02-09

申请号：US13841514

申请日：2013-03-15

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： Ming C. Hao ,  Michael Hund ,  Umeshwar Dayal ,  Soma Sundaram Santhiveeran ,  Halldor Janetzko ,  Sebastian Mittelstaedt ,  Daniel Keim ,  Meichun Hsu

IPC: G06T11/20 ,  G06Q30/02

CPC classification number: G06T11/206 ,  G06Q30/0201

Abstract: Visual analytics for multivariate session data using concentric rings with overlapping periods includes displaying an interactive graph in a display. The interactive graph includes at least a portion of multiple concentric rings where each one of at least some of the multiple concentric rings represents periodic time units. At least some of the multiple concentric rings are divided into cells where the cells represent smaller time periods than the time units. A color of each of the cells represents a value of a metric. Also, an overlapping period ring displayed with the multiple concentric rings where the overlapping period ring comprises segments that represent overlapping metrics from the cells of the concentric rings that correspond with the segments.

Abstract translation: 使用具有重叠周期的同心圆的多变量会话数据的视觉分析包括在显示器中显示交互图。 交互图包括多个同心环的至少一部分，其中多个同心圆中的至少一个中的每一个代表周期性时间单位。 多个同心环中的至少一些被分成细胞，其中细胞代表比时间单位更小的时间段。 每个单元格的颜色表示度量的值。 此外，与多个同心环一起显示的重叠周期环，其中重叠周期环包括表示来自与段对应的同心环的单元格的重叠度量的段。

公开(公告)号：US20150035833A1

公开(公告)日：2015-02-05

申请号：US13955961

申请日：2013-07-31

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Ming C. Hao ,  Manish Marwah ,  Halldor Janetzko ,  Meichun Hsu ,  Umeshwar Dayal ,  Daniel Keim

IPC: G06T11/20

CPC classification number: G06T11/206

Abstract: Example embodiments relate to providing visual analytics of temporal-spatial relationships. In example embodiments, power meters may be located at regions within a building for collecting power consumption data at regular intervals. The power consumption data can be recursively processed to generate a pixel calendar tree by using a power meter hierarchy to subdivide the pixel calendar tree into tree portions according to a proportion of the power consumption data attributed to each of power meter nodes, where the tree portions are arranged in the pixel calendar tree according to an importance of the proportion; generating pixel cells in the pixel calendar tree that each represent a day in the power consumption data; and generating cell borders that each surround one of the pixel cells. At this stage, a pixel calendar display of a physical infrastructure of the building that includes the pixel cells and the cell borders can be generated.

Abstract translation: 示例性实施例涉及提供时间 - 空间关系的视觉分析。 在示例实施例中，功率计可以位于建筑物内的区域，以规则的间隔收集功率消耗数据。 功率消耗数据可以被递归地处理以通过使用功率计层次结构根据属于每个功率计节点的功率消耗数据的比例将像素日历树细分为树形部分来生成像素日历树，其中树形部分 根据比例的重要性排列在像素日历树中; 生成像素日历树中的每个表示功耗数据中的一天的像素单元; 以及生成每个围绕像素单元之一的单元格边框。 在此阶段，可以生成包括像素单元和单元边界的建筑物的物理基础设施的像素日历显示。