CN108073700B - 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: the 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；Any pixel is arranged, 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 column form a pixel column groups, arrange corresponding pixel column groups as any pixel；Multiple pixel column groups form a maintenance column group, maintenance column group are stored in circulation 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 high speed arrives.
Description
Technical field
The present invention relates to visual computer technology fields, can more particularly, to a kind of data based on sliding window
Depending on changing method and system.
Background technique
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 constantly enters window, and stale data
Then it is moved out of window.Sliding window model can allow user to focus on the data variation in nearest a period of time.
It there is no the method optimized for the visualization of sliding window in existing technology.Traditional visualization
Tool, if Tableau Desktop 8.1, SAP Lumira 1.13, Qlik View11.20 be not to the visual of mass data
Change optimizes, but simply all maps all data in time that user specifies on the screen --- and this will affect aobvious
Show efficiency.Open source technology M4 is a kind of error-free data specification technology that comparison is classical, can be by a large amount of data reduction to very
Small data volume, while effect of visualization is not influenced, but do not optimized for flow data.
Summary 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, comprising: 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；Any pixel is arranged, first fluxion strong point, the last one fluxion strong point, fluxion of any pixel column are obtained
A pixel column groups are formed according to maximum of points and flow data minimum point, arrange corresponding pixel column groups as any pixel；It is more
A pixel column groups form a maintenance column group, and the maintenance column group is stored in circulation array, the maintenance of the multiple pixel column groups
Column 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 it renders, 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: the 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 sequence 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 rendered again according to preset rendering frequency, with
So that data visualization；The maximum value of the preset rendering frequency is 60Hz.
Preferably, the time interval rendered again is not less than time interval critical value, the time interval critical value are as follows:
Wherein, puserFor preset rendering frequency.
Preferably, all flow data points in the maintenance column group are rendered again, so that data visualization
Change further comprises: judge that can the fluxion strong point that reached form a maintenance column group, it is 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
Column group then waits subsequent fluxion strong point to reach, until the fluxion strong point reached can form a maintenance column group.
Preferably, the maximum rendering frequency all flow data points in the maintenance column group rendered again are as follows:
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, comprising: determine
Points module determines in the sliding window for the number of pixels in length and display area width based on sliding window
Each pixel column flow data points；Flow data point module is obtained, for arranging 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 column form a pixel
Column group arranges corresponding pixel column groups as any pixel；Preserving module, for the maintenance column group to be stored in recurring number
Group, wherein multiple pixel column groups form a maintenance column group, the 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 it renders, 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, comprising:
Memory and processor, the processor and the memory complete mutual communication by bus；The memory storage
There is the program instruction that can be executed 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 in non-transient computer readable storage medium, the computer program include program instruction, work as institute
When stating program instruction and being computer-executed, the computer is made to execute method for visualizing as described in any one of the above embodiments.
A kind of data visualization method and system based on sliding window provided by the invention obtains 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 column form a picture
Plain column group only saves four characteristic points, data volume is greatly reduced for each pixel column, and EMS memory occupation, rendering are imitated
Rate all has greatly improved.The present invention can in the prior art not specific to flow data carry out visualization optimization
Method.The present invention can efficiently render the flow data in sliding window under conditions of flow data high speed arrives.
Detailed description of the invention
Fig. 1 is the flow chart of data visualization method of one of the embodiment of the present invention based on sliding window；
Fig. 2 is data visualization schematic diagram of one of the embodiment of the present invention based on sliding window；
Fig. 3 is the module map of data visualisation system of one of the embodiment of the present invention based on sliding window；
Fig. 4 is the structural representation of data visualization electronic equipment of one of the embodiment of the present invention based on sliding window
Figure.
Specific embodiment
With reference to the accompanying drawings and examples, specific embodiments of the present invention will be described in further detail.Implement below
Example is not intended to limit the scope of the invention for illustrating the present invention.
Fig. 1 is the flow chart of data visualization method of one of the embodiment of the present invention based on sliding window, such as Fig. 1 institute
Show, comprising: the number of pixels in length and display area width based on sliding window determines each in the sliding window
The flow data of pixel column is counted；Any pixel is arranged, obtain any pixel column 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 circulation array, the multiple picture
The maintenance column group number of plain column 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, refers to that screen showed always is the flow data of n nearest point.
Specifically, flow data is one group of sequence, a large amount of, data sequence that rapidly, continuously reaches, under normal circumstances, data
Stream can be considered as the dynamic data set for continuing at any time and increasing without limitation.Flow data is applied to network monitoring, sensor
Network, aerospace, meteorological observing and controlling and financial service etc. fields.
Further, any pixel column group include any pixel column in first fluxion strong point, the last one flow data
Point, flow data maximum of points and flow data minimum point.Maintenance column group includes multiple groups, the number of maintenance column group and display area
Number of pixels on width is equal.
Further, if maintenance column group number is w group, including 4w fluxion strong point.
Specifically, the array of not clear end point, any point can be that starting point can be end point again, this
Array is circulation array.
Further, the length for recycling 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 any pixel column 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 saved, data volume is greatly reduced, has for EMS memory occupation, rendering efficiency
Very big promotion.The present invention can in the prior art not specific to flow data carry out visualization optimization method.
The present invention can efficiently render the flow data in sliding window under conditions of flow data high speed arrives.
Further, circulation array is stored in by setting, it is ensured that expired data point is naturally capped.It carries out again
All fluxion strong points of rendering are enough to ensure that no loss of significance.
Based on the above 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, determined by following formula each pixel column in the sliding window flow data points:
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 the above embodiment, any pixel arranges the preservation sequence 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 saved in any pixel column
According to maximum of points and flow data minimum point, as any pixel column group, remaining fluxion strong point is given up.
Based on the above embodiment, all flow data points in the maintenance column group are rendered again, so that
Data visualization further comprises: carrying out again according to preset rendering frequency to all flow data points in the maintenance column group
Rendering, so that data visualization；The maximum value of the preset 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 preset rendering frequency
Refer to and the flow data on screen is refreshed according to preset value.
Based on the above embodiment, the time interval rendered again is not less than time interval critical value, and the time interval is faced
Dividing value are as follows:
Wherein, puserFor preset rendering frequency.
Based on the above 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 judgement reaches 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, subsequent fluxion strong point is waited to reach, until the fluxion strong point reached can group
At a maintenance column group.
Further, if predeterminated frequency is relatively low, between rendering twice, circulation array can only be constantly updated.
Based on the above embodiment, the maximum rendering frequency all flow data points in the maintenance column group rendered again
Rate are as follows:
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 data visualization of one of the embodiment of the present invention based on sliding window
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 are g=n/w=5.
After 5 fluxion strong points of every arrival, a pixel column groups are formed.
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, point shown in reserved graph.If four characteristic points have overlapping, if maximum point and the last one point are overlapped, then only remain
Lower three characteristic points.
Features above is stored in circulation array.Circulation array can guarantee 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 rendering, by totally 20 in 5 groups
Point is sent to rendering program.
Based on the above embodiment, Fig. 3 is data visualisation system of one of the embodiment of the present invention based on sliding window
Module map, as shown in figure 3, points module is comprised determining that, in length and display area width based on sliding window
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 column obtain first fluxion strong point, the last one fluxion strong point, flow data maximum of points of any pixel column
A pixel column groups are formed with flow data minimum point, arrange corresponding pixel column groups as any pixel；Preserving module is used for
The maintenance column group is stored in circulation 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 column group are rendered again, so that data visualization.
Based on the above embodiment, Fig. 4 is data visualization electronics of one of the embodiment of the present invention based on sliding window
The structural schematic diagram of equipment, as shown in figure 4, the present invention also provides a kind of data visualization electronic equipment based on sliding window,
It include: memory and processor, the processor and the memory complete mutual communication by bus；The memory
It is stored with the program instruction that can be executed by the processor, the processor calls described program instruction to be able to carry out such as above-mentioned
Method for visualizing described in one, for example, the number of pixels in length and display area width based on sliding window determines
The flow data of each pixel column in the sliding window is counted；Any pixel is arranged, the of any pixel column is obtained
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 recycle 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 the above embodiment, the present invention also provides a kind of computer program product, the computer program product includes
The computer program being stored in non-transient computer readable storage medium, the computer program include program instruction, work as institute
When stating program instruction and being computer-executed, the computer is made to execute the method for visualizing as described in any of the above-described, for example,
Number of pixels in length and display area width based on sliding window determines each pixel column in the sliding window
Flow data points；Any pixel is arranged, first fluxion strong point, the last one flow data of any pixel column are obtained
Point, flow data maximum of points and flow data minimum point form a pixel column groups, arrange corresponding pixel as any pixel
Column group；Multiple pixel column groups form a maintenance column group, and the maintenance column group is stored in circulation 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 obtains 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 column form a picture
Plain column group only saves four characteristic points, data volume is greatly reduced for each pixel column, and EMS memory occupation, rendering are imitated
Rate all has greatly improved.The present invention can in the prior art not specific to flow data carry out visualization optimization
Method.The present invention can efficiently render the flow data in sliding window under conditions of flow data high speed arrives.Into
One step, circulation array is stored in 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, and use is appropriate
Renewal frequency avoids the Rendering operations of redundancy, further raising efficiency.
Finally, method of the invention is only preferable embodiment, it is not intended to limit the scope of the present invention.It is all
Within the spirit and principles in the present invention, any modification, equivalent replacement, improvement and so on should be included in protection of the invention
Within the scope of.
Claims (8)
1. a kind of data visualization method based on sliding window characterized by comprising
Number of pixels in length and display area width based on sliding window, is determined in the sliding window by following formula
The flow data of each pixel column is counted:
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；
Any pixel is arranged, first fluxion strong point, the last one fluxion strong point, flow data of any pixel column are obtained
Maximum of points and flow data minimum point form a pixel column groups, arrange corresponding pixel column groups as any pixel；
Multiple pixel column groups form a maintenance column group, and the maintenance column group is stored in circulation array；
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 any pixel arranges in corresponding pixel column groups
All fluxion strong points preservation sequence be respective arrival order.
3. 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 preset rendering frequency, so that data can
Depending on changing；The maximum value of the preset rendering frequency is 60Hz.
4. method for visualizing according to claim 3, 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 are as follows:
Wherein, puserFor preset rendering frequency.
5. 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 judgement reaches form a maintenance column group, if a maintenance column group can be formed, to the maintenance
All flow data points in column group are rendered again, so that data visualization；
If a maintenance column group cannot be formed, subsequent fluxion strong point is waited to reach, until the fluxion strong point reached can form one
A maintenance column group.
6. method for visualizing according to claim 1, which is characterized in that all fluxion strong points in the maintenance column group
Again the maximum rendering frequency rendered are as follows:
Wherein, p is the arrival rate of flow data, and g is the flow data points of each pixel column in sliding window.
7. a kind of data visualisation system based on sliding window characterized by comprising
Determine points module, it is true by following formula for the number of pixels in length and display area width based on sliding window
The flow data points of each pixel column in the fixed sliding window:
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；
Flow data point module is obtained, for arranging for any pixel, obtains first fluxion strong point, most of any pixel column
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 maintenance column group to be stored in circulation array, wherein multiple pixel column groups form a maintenance column group；
Again rendering module, for being rendered again to all flow data points in the maintenance column group, so that data can
Depending on changing.
8. a kind of data visualization electronic equipment based on sliding window characterized by comprising
Memory and processor, the processor and the memory complete mutual communication by bus；The memory
It is stored with the program instruction that can be executed by the processor, the processor calls described program instruction to be able to carry out right such as and wants
Seek 1 to 6 any method for visualizing.
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