CN108073700A - A kind of data visualization method and system based on sliding window - Google Patents
A kind of data visualization method and system based on sliding window Download PDFInfo
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Abstract
The present invention provides a kind of data visualization method and system based on sliding window, and method for visualizing includes：Number of pixels in length and display area width based on sliding window determines the flow data points of each pixel column in sliding window；It is arranged for any pixel, first fluxion strong point, the last one fluxion strong point, flow data maximum of points and the flow data minimum point for obtaining any pixel row form a pixel column groups, and corresponding pixel column groups are arranged as any pixel；Multiple pixel column groups form a maintenance column group, maintenance column group are stored in Xun Huan array, the maintenance column group number of multiple pixel column groups is equal with the number of pixels on the width of display area；All flow data points in maintenance column group are rendered again, so that data visualization.Data volume is greatly reduced in the present invention, all has greatly improved for EMS memory occupation, rendering efficiency.The present invention can efficiently render the flow data in sliding window under conditions of flow data arrives at a high speed.
Description
Technical field
It, can more particularly, to a kind of data based on sliding window the present invention relates to visual computer technology field
Depending on changing method and system.
Background technology
The visual analyzing of time series data has widely in many industries including finance, banking, manufacturing industry
Demand.Flow data is one kind important in time series data, and the monitoring of stream data has great significance and widely uses
On the way.Sliding time window model is a kind of important analysis means of flow data：New data is constantly into window, and stale data
Then it is moved out of window.Sliding window model can allow the data variation that user was focused in nearest a period of time.
It there is no the method that the visualization for sliding window optimizes in existing technology.Traditional visualization
Instrument, if Tableau Desktop 8.1, SAP Lumira 1.13, Qlik View11.20 be not to the visual of mass data
Change optimizes, but all data in the time for simply specifying user all map on the screen --- and this will influence aobvious
Show efficiency.Open source technology M4 is a kind of classical error-free data stipulations technology of comparison, can be by substantial amounts of data reduction to very
Small data volume, while effect of visualization is not influenced, but do not optimized for flow data.
The content of the invention
The present invention provides a kind of a kind of data visualization method and system based on sliding window for overcoming the above problem.
According to an aspect of the present invention, a kind of data visualization method based on sliding window is provided, including：Based on cunning
Number of pixels in the length and display area width of dynamic window determines the flow data of each pixel column in the sliding window
Points；It is arranged for any pixel, obtains first fluxion strong point, the last one fluxion strong point, fluxion of any pixel row
A pixel column groups are formed according to maximum of points and flow data minimum point, corresponding pixel column groups are arranged as any pixel；It is more
A pixel column groups form a maintenance column group, and the maintenance column group is stored in Xun Huan array, the maintenance of the multiple pixel column groups
Row group number is equal with the number of pixels on the display area width；All flow data points in the maintenance column group are carried out
Again render, so that data visualization.
Preferably, the pixel wide of the length and display area based on sliding window, determines in the sliding window
Each pixel column flow data points further comprise：Pixel number in length and display area width based on sliding window
Mesh determines the flow data points of each pixel column in the sliding window by following formula：
Wherein, g is the flow data points of each pixel column in the sliding window, and n is the length of sliding window, and W is
Number of pixels on the width of display area.
Preferably, the preservation order that any pixel arranges all fluxion strong points in corresponding pixel column groups is respective
Reach order.
Preferably, all flow data points in the maintenance column group are rendered again, so that data visualization
Change further comprises：All flow data points in the maintenance column group are rendered again according to the default frequency that renders, with
So that data visualization；The default maximum for rendering frequency is 60Hz.
Preferably, the time interval rendered again is not less than time interval critical value, and the time interval critical value is：
Wherein, puserFrequency is rendered to be default.
Preferably, all flow data points in the maintenance column group are rendered again, so that data visualization
Change further comprises：Can the fluxion strong point that judge to reach form a maintenance column group, right if a maintenance column group can be formed
All flow data points in the maintenance column group are rendered again, so that data visualization；If a maintenance cannot be formed
Row group then waits follow-up fluxion strong point to reach, until the fluxion strong point reached can form a maintenance column group.
Preferably, the maximum rendered again to all flow data points in the maintenance column group renders frequency and is：
Wherein, p is the arrival rate of flow data, and g is the flow data points of each pixel column in sliding window.
According to another aspect of the present invention, a kind of data visualisation system based on sliding window is provided, including：It determines
Points module, for the number of pixels in the length based on sliding window and display area width, determines in the sliding window
Each pixel column flow data points；Flow data point module is obtained, for being arranged for any pixel, obtains any pixel
First fluxion strong point, the last one fluxion strong point, flow data maximum of points and the flow data minimum point of row form a pixel
Row group arranges corresponding pixel column groups as any pixel；Preserving module, for the maintenance column group to be stored in period
Group, wherein, multiple pixel column groups form a maintenance column group, maintenance column group number and the display of the multiple pixel column groups
Number of pixels on peak width is equal；Again rendering module, for being carried out to all flow data points in the maintenance column group
Again render, so that data visualization.
According to a further aspect of the invention, a kind of data visualization electronic equipment based on sliding window is provided, including：
Memory and processor, the processor and the memory complete mutual communication by bus；The memory storage
There is the program instruction that can be performed by the processor, the processor calls described program instruction to be able to carry out such as any of the above-described
The method for visualizing.
Still another aspect according to the present invention, provides a kind of computer program product, and the computer program product includes
The computer program being stored on non-transient computer readable storage medium storing program for executing, the computer program include program instruction, work as institute
When stating program instruction and being computer-executed, the computer is made to perform such as method for visualizing described in any one of the above embodiments.
A kind of data visualization method and system based on sliding window provided by the invention obtain any picture by setting
First fluxion strong point, the last one fluxion strong point, flow data maximum of points and the flow data minimum point of element row form a picture
Plain row group for each pixel column, only preserves four characteristic points, data volume is greatly reduced, for EMS memory occupation, renders effect
Rate all has greatly improved.The present invention can be directed in the prior art specific to flow data carry out visualizing optimization
Method.The present invention can efficiently render the flow data in sliding window under conditions of flow data arrives at a high speed.
Description of the drawings
Fig. 1 is a kind of flow chart of data visualization method based on sliding window in the embodiment of the present invention；
Fig. 2 is a kind of data visualization schematic diagram based on sliding window in the embodiment of the present invention；
Fig. 3 is a kind of module map of data visualisation system based on sliding window in the embodiment of the present invention；
Fig. 4 is a kind of structural representation of data visualization electronic equipment based on sliding window in the embodiment of the present invention
Figure.
Specific embodiment
With reference to the accompanying drawings and examples, the specific embodiment of the present invention is described in further detail.Implement below
Example is not limited to the scope of the present invention for illustrating the present invention.
Fig. 1 is a kind of flow chart of data visualization method based on sliding window in the embodiment of the present invention, such as Fig. 1 institutes
Show, including：Number of pixels in length and display area width based on sliding window determines each in the sliding window
The flow data points of pixel column；Arranged for any pixel, obtain any pixel row first fluxion strong point, the last one
Fluxion strong point, flow data maximum of points and flow data minimum point form a pixel column groups, arrange and correspond to as any pixel
Pixel column groups；Multiple pixel column groups form a maintenance column group, and the maintenance column group is stored in Xun Huan array, the multiple picture
The maintenance column group number of plain row group is equal with the number of pixels on the display area width；To all in the maintenance column group
Flow data point is rendered again, so that data visualization.
Specifically, the length of sliding window refers to the fluxion strong point for the nearest length that screen shows, for example, if
The length of sliding window is n, and it is the flow data of n nearest point to refer to what screen showed always.
Specifically, flow data is one group of order, a large amount of, data sequence that rapidly, continuously reaches, under normal circumstances, data
Stream can be considered as a dynamic data set for continuing at any time and increasing without limitation.Flow data is applied to network monitoring, sensor
Network, aerospace, the meteorological fields such as observing and controlling and financial service.
Further, first fluxion strong point, the last one flow data during any pixel row group is arranged including any pixel
Point, flow data maximum of points and flow data minimum point.Maintenance column group include it is multigroup, the number of maintenance column group and display area
Number of pixels on width is equal.
Further, if maintenance column group number is w groups, including 4w fluxion strong point.
Specifically, without the array of clear and definite end point, any point can be that starting point can be end point again, this
Array is Xun Huan array.
Further, the length for cycling array is n mod w；Wherein, n is the length of sliding window, and w is display area
Pixel wide.
A kind of data visualization method based on sliding window provided by the invention obtains what any pixel arranged by setting
First fluxion strong point, the last one fluxion strong point, flow data maximum of points and flow data minimum point form a pixel column groups,
For each pixel column, four characteristic points are only preserved, data volume is greatly reduced, has for EMS memory occupation, rendering efficiency
Very big promotion.The present invention can be directed in the prior art specific to flow data carry out visualize optimization method.
The present invention can efficiently render the flow data in sliding window under conditions of flow data arrives at a high speed.
Further, it is stored in Xun Huan array by setting, it is ensured that expired data point is naturally capped.It carries out again
All fluxion strong points rendered are enough to ensure that no loss of significance.
Based on above-described embodiment, the pixel wide of the length and display area based on sliding window determines the cunning
The flow data points of each pixel column in dynamic window further comprise：In length and display area width based on sliding window
Number of pixels, the flow data points of each pixel column in the sliding window are determined by following formula：
Wherein, g is the flow data points of each pixel column in the sliding window, and n is the length of sliding window, and W is
Number of pixels on the width of display area.
Based on above-described embodiment, any pixel arranges the preservation order at all fluxion strong points in corresponding pixel column groups
For respective arrival order.
Specifically, first above-mentioned fluxion strong point, the last one fluxion strong point, fluxion are only preserved in any pixel column
According to maximum of points and flow data minimum point, as any pixel row group, remaining fluxion strong point is given up.
Based on above-described embodiment, all flow data points in the maintenance column group are rendered again, so that
Data visualization further comprises：All flow data points in the maintenance column group are carried out again according to the default frequency that renders
It renders, so that data visualization；The default maximum for rendering frequency is 60Hz.
Specifically, 60Hz is the upper limit that human eye receives frequency.
Further, all flow data points in the maintenance column group are rendered again according to the default frequency that renders
Refer to according to default value refresh for the flow data on screen.
Based on above-described embodiment, the time interval rendered again is not less than time interval critical value, and the time interval is faced
Dividing value is：
Wherein, puserFrequency is rendered to be default.
Based on above-described embodiment, all flow data points in the maintenance column group are rendered again, so that
Data visualization further comprises：
Can the fluxion strong point that judge to reach form a maintenance column group, if a maintenance column group can be formed, to described
All flow data points in maintenance column group are rendered again, so that data visualization；
If a maintenance column group cannot be formed, follow-up fluxion strong point is waited to reach, until the fluxion strong point reached can group
Into a maintenance column group.
Further, if predeterminated frequency is than relatively low, between rendering twice, cycling array can only be constantly updated.
Based on above-described embodiment, the maximum rendered again to all flow data points in the maintenance column group renders frequency
Rate is：
Wherein, p is the arrival rate of flow data, and g is the flow data points of each pixel column in sliding window.
As a preferred embodiment, Fig. 2 is a kind of data visualization based on sliding window in the embodiment of the present invention
Schematic diagram.
As shown in Fig. 2, window size is n=30.Assuming that the display area of sliding window on the screen is 6 × 5 pixels.
User can preset renewal frequency, but since the screen refresh rate that human eye receives is limited, we update frequency
The rate upper limit is 60Hz.
The pixel width of known display area is 6, therefore every 5 points are drawn in a pixel column in window, we term it
One pixel column groups (G), the fluxion strong point number of a group is g=n/w=5.
It often arrives after 5 fluxion strong points, forms a pixel column groups.
Only first point in reservation pixel column groups, the last one point, maximum of points and minimum point, remaining point are given up.
In Fig. 2, only retain point shown in figure.If four characteristic points have overlapping, if maximum point and the last one point overlap, then only remain
Lower three characteristic points.
Features above is stored in Xun Huan array.Xun Huan array can ensure that expired data point is naturally capped.
It renders and is only just carried out after the group that at least collected neat again every time.If triggering renders, by totally 20 in 5 groups
Point is sent to rendering program.
Based on above-described embodiment, Fig. 3 is a kind of data visualisation system based on sliding window in the embodiment of the present invention
Module map, as shown in figure 3, including：Points module is determined, in the length based on sliding window and display area width
Number of pixels determines the flow data points of each pixel column in the sliding window；Obtain flow data point module, for for
Any pixel arranges, and obtains the first fluxion strong point, the last one fluxion strong point, flow data maximum of points of any pixel row
A pixel column groups are formed with flow data minimum point, corresponding pixel column groups are arranged as any pixel；Preserving module is used for
The maintenance column group is stored in Xun Huan array, wherein, multiple pixel column groups form a maintenance column group, the multiple pixel column groups
Maintenance column group number it is equal with the number of pixels on the display area width；Again rendering module, for the maintenance
All flow data points in row group are rendered again, so that data visualization.
Based on above-described embodiment, Fig. 4 is a kind of data visualization electronics based on sliding window in the embodiment of the present invention
The structure diagram of equipment, as shown in figure 4, the present invention also provides a kind of data visualization electronic equipment based on sliding window,
Including：Memory and processor, the processor and the memory complete mutual communication by bus；The memory
The program instruction that can be performed by the processor is stored with, the processor calls described program instruction to be able to carry out such as above-mentioned
Method for visualizing described in one, such as including：Number of pixels in length and display area width based on sliding window determines
The flow data points of each pixel column in the sliding window；It is arranged for any pixel, obtains the of any pixel row
One fluxion strong point, the last one fluxion strong point, flow data maximum of points and flow data minimum point form a pixel column groups, make
Corresponding pixel column groups are arranged for any pixel；Multiple pixel column groups form a maintenance column group, and the maintenance column group is deposited
Enter and cycle array, the maintenance column group number of the multiple pixel column groups is equal with the number of pixels on the display area width；
All flow data points in the maintenance column group are rendered again, so that data visualization.
Based on above-described embodiment, the present invention also provides a kind of computer program product, the computer program product includes
The computer program being stored on non-transient computer readable storage medium storing program for executing, the computer program include program instruction, work as institute
When stating program instruction and being computer-executed, the computer is made to perform the method for visualizing as described in any of the above-described, such as including：
Number of pixels in length and display area width based on sliding window determines each pixel column in the sliding window
Flow data is counted；It is arranged for any pixel, obtains first fluxion strong point, the last one flow data of any pixel row
Point, flow data maximum of points and flow data minimum point form a pixel column groups, and corresponding pixel is arranged as any pixel
Row group；Multiple pixel column groups form a maintenance column group, and the maintenance column group is stored in Xun Huan array, the multiple pixel column groups
Maintenance column group number it is equal with the number of pixels on the display area width；To all flow datas in the maintenance column group
Point is rendered again, so that data visualization.
A kind of data visualization method and system based on sliding window provided by the invention obtain any picture by setting
First fluxion strong point, the last one fluxion strong point, flow data maximum of points and the flow data minimum point of element row form a picture
Plain row group for each pixel column, only preserves four characteristic points, data volume is greatly reduced, for EMS memory occupation, renders effect
Rate all has greatly improved.The present invention can be directed in the prior art specific to flow data carry out visualizing optimization
Method.The present invention can efficiently render the flow data in sliding window under conditions of flow data arrives at a high speed.Into
One step, it is stored in Xun Huan array by setting, it is ensured that expired data point is naturally capped.Again what is rendered is all
Fluxion strong point is enough to ensure that no loss of significance.The present invention combines method for visualizing and ergonomics, using appropriate
Renewal frequency avoids the Rendering operations of redundancy, further raising efficiency.
Finally, method of the invention is only preferable embodiment, is not intended to limit the scope of the present invention.It is all
Within the spirit and principles in the present invention, any modifications, equivalent replacements and improvements are made should be included in the protection of the present invention
Within the scope of.
Claims (10)
1. a kind of data visualization method based on sliding window, which is characterized in that including：
Number of pixels in length and display area width based on sliding window determines each pixel in the sliding window
The flow data points of row；
It is arranged for any pixel, obtains first fluxion strong point, the last one fluxion strong point, flow data of any pixel row
Maximum of points and flow data minimum point form a pixel column groups, and corresponding pixel column groups are arranged as any pixel；
Multiple pixel column groups form a maintenance column group, and the maintenance column group is stored in Xun Huan array, the multiple pixel column groups
Maintenance column group number it is equal with the number of pixels on the display area width；
All flow data points in the maintenance column group are rendered again, so that data visualization.
2. method for visualizing according to claim 1, which is characterized in that the length and viewing area based on sliding window
The pixel wide in domain determines that the flow data points of each pixel column in the sliding window further comprise：
Number of pixels in length and display area width based on sliding window, is determined by following formula in the sliding window
The flow data points of each pixel column：
<mrow>
<mi>g</mi>
<mo>=</mo>
<mfrac>
<mi>n</mi>
<mi>w</mi>
</mfrac>
<mo>;</mo>
</mrow>
Wherein, g is the flow data points of each pixel column in the sliding window, and n is the length of sliding window, and W is display
Number of pixels on peak width.
3. method for visualizing according to claim 1, which is characterized in that any pixel is arranged in corresponding pixel column groups
All fluxion strong points preservation order be respective arrival order.
4. method for visualizing according to claim 1, which is characterized in that all fluxions in the maintenance column group
Strong point is rendered again, so that data visualization further comprises：
All flow data points in the maintenance column group are rendered again according to the default frequency that renders, so that data can
Depending on change；The default maximum for rendering frequency is 60Hz.
5. method for visualizing according to claim 4, which is characterized in that the time interval rendered again was not less than between the time
Every critical value, the time interval critical value is：
<mrow>
<mfrac>
<mn>1</mn>
<msub>
<mi>p</mi>
<mrow>
<mi>u</mi>
<mi>s</mi>
<mi>e</mi>
<mi>r</mi>
</mrow>
</msub>
</mfrac>
<mo>;</mo>
</mrow>
Wherein, puserFrequency is rendered to be default.
6. method for visualizing according to claim 1, which is characterized in that all fluxions in the maintenance column group
Strong point is rendered again, so that data visualization further comprises：
Can the fluxion strong point that judge to reach form a maintenance column group, if a maintenance column group can be formed, to the maintenance
All flow data points in row group are rendered again, so that data visualization；
If a maintenance column group cannot be formed, follow-up fluxion strong point is waited to reach, until the fluxion strong point reached can form one
A maintenance column group.
7. method for visualizing according to claim 1, which is characterized in that all fluxion strong points in the maintenance column group
Again the maximum rendered renders frequency：
Wherein, p is the arrival rate of flow data, and g is the flow data points of each pixel column in sliding window.
8. a kind of data visualisation system based on sliding window, which is characterized in that including：
It determines points module, for the number of pixels in the length based on sliding window and display area width, determines the cunning
The flow data points of each pixel column in dynamic window；
Flow data point module is obtained, for being arranged for any pixel, obtains first fluxion strong point, most of any pixel row
The latter fluxion strong point, flow data maximum of points and flow data minimum point form a pixel column groups, as any pixel
Arrange corresponding pixel column groups；
Preserving module, for the maintenance column group to be stored in Xun Huan array, wherein, multiple pixel column groups form a maintenance column
Group, the maintenance column group number of the multiple pixel column groups are equal with the number of pixels on the display area width；
Again rendering module, for being rendered again to all flow data points in the maintenance column group, so that data can
Depending on change.
9. a kind of data visualization electronic equipment based on sliding window, which is characterized in that including：
Memory and processor, the processor and the memory complete mutual communication by bus；The memory
The program instruction that can be performed by the processor is stored with, the processor calls described program instruction to be able to carry out right such as will
Seek 1 to 7 any method for visualizing.
10. a kind of computer program product, which is characterized in that the computer program product includes being stored in non-transient computer
Computer program on readable storage medium storing program for executing, the computer program include program instruction, when described program is instructed by computer
During execution, the computer is made to perform the method for visualizing as described in claim 1 to 7 is any.
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