CN106095919B - Data variation trend spring visualization system and method towards analysis of central issue - Google Patents
Data variation trend spring visualization system and method towards analysis of central issue Download PDFInfo
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Abstract
A kind of data variation trend spring visualization system and method towards analysis of central issue, comprising: setup module, data read module, computing module, scheduler module and interactive module, in which: setup module provides a user parameter setting function；Data read module, which is read, comes from user data stream file, calculates hot spot data；Computing module reads the hot spot data from data read module, calculation visualization data；Interactive module reads the visualized data from computing module and handles the display of icon in the display device, and handles the operation of user；Scheduler module saves visualized data, and interactive module is called to carry out image presentation.By simulating spring model, hot spot is shown as spring icon, gushes out from central area and spreads at any time, is mobile and disappear, this method can express hot spot and its temperature, and shows hot spot and change with time trend, convenient for user's progress hotspot tracking and analysis.
Description
Technical field
The present invention relates to a kind of technology of data visualization analysis field, specifically a kind of number towards analysis of central issue
According to variation tendency spring visualization system and method.
Background technique
The most significant feature of the data of analysis of central issue correlation type is exactly that data bulk is more, and there are semantic associations between data
And semantic type is abundant, the data being continuously generated at any time have the characteristics that emerge in large numbers according to its respective semanteme, the quantity of data,
I.e. the data of certain class semantic similarity are quantitatively periodical or disposably reach the opposite higher numerical value of other types, therefore
Carry out this type data visual analyzing when, need according to data bulk number, highlight the higher data of quantity, i.e.,
The display of prominent hot spot, and instantaneity hotspot's distribution and hot spot historical development can be presented simultaneously, so that convenient divide hot spot
Analysis and tracking.
In the existing method for visualizing to time-variable data, different visualization scheme and side are needed to different application
Method, various method for visualizing also have respective feature and advantage.For example, some method for visualizing are directed to the lower number of dimension
The relationship of characteristic and time is shown according to, the more traditional visualization technique of utilization, such as broken line, scatter plot；There are also one
A little method for visualizing are then directed to the static state of high dimensional data, by traditional method for visualizing being improved or being proposed completely newly
Method for visualizing is shown the characteristic quantity of high dimensional data in low-dimensional figure by dimension reduction method.For including but not limited to
It is a kind of that instantaneity hotspot's distribution can be presented simultaneously in all kinds of analysis of central issue applications such as hot news analysis, disease transmission analysis
It will have a wide range of applications value with the data visualization method of hot spot historical development.
Summary of the invention
The present invention In view of the above shortcomings of the prior art, proposes that a kind of data variation trend towards analysis of central issue is gushed
One group of data of semantic similarity are expressed as an icon unit in visualization display region by spring visualization system and method.
When the temperature of one group of data meets display condition, icon unit corresponding to this group of data is displayed on visualization display region
In.Spring physical model is simulated in the display of icon unit, the central area of the icon unit of similar spring bubble from display area
Gush out, bubble determines the category of size, position, color, transparency of icon unit etc. according to the temperature of data and other attribute values
Property, all icon units dynamically show, move and disappear at any time, the change of comprehensive dynamically performance data hot spot at any time
Change situation, observation analysis and tracking are carried out to the hot spot in data convenient for user.
The present invention is achieved by the following technical solutions:
The present invention includes: setup module, data read module, computing module, scheduler module and interactive module, in which:
Setup module provides a user the parameter setting function of display parameters and calculating parameter；Data read module reading is mentioned from user
The data streaming file of confession extracts the semantic information of data, and carries out analysis of central issue and temperature calculating according to semantic information；Calculate mould
Block reads hot spot and temperature data from data read module, and the temperature data of hot spot and hot spot are mapped to spring visualization
In model, visualized data is calculated；Scheduler module reads the setting parameter of setup module, saves visualized data, and root
According to the operational order of user in interactive module, visualized data is taken out, and calls interactive module to carry out refreshing and shows；Interactive module
Final display image is generated, and handles user's input.
The spring Visualization Model is used to simulate the physical aspect of the spring in reality, and hot spot is shown as in a model
One icon, icon simulate the bubble gushed out in spring physical model.In spring physical model, when hot spot occurs for the first time
When gush out from central area, gradually spread around at any time, according to the situation of change of temperature, the face of icon in diffusion process
The attributes such as color, size, internal figure constantly change, and finally disappear and disappear with the decline hot spot of temperature.With original
The continuous variation of the conversion of hot spot and temperature in data, the attribute of icon, such as color, frame, size, internal root therewith is presented
It is changed according to the variation of data temperature and other attribute values, generation continues dynamic visualized graphs.
The setup module includes: display parameters setting unit, calculating parameter setting unit and parameter access unit,
In: display parameters setting unit, which is connected with parameter access unit and handles the display parameters of user, to be inputted and transmits information；It calculates
Parameter set unit, which is connected with parameter management unit and handles the calculating parameter of user, to be inputted and transmits information；Parameter access unit
It is connected respectively with data read module and computing module and scheduler module with access parameter.
The display parameters include but is not limited to the classification selections of data to be presented, animation speed, display area size,
Icon sizes, font and size, minimum heat degree threshold, visualization picture refreshing time interval, maximum can show hot spot quantity, show
Show loose coefficient (degree of crowding allowed between visualization icon, value range are 1.1~1.5) etc..
The calculating parameter include but is not limited to time cycle in temperature calculation formula, temperature calculate it is involved
Data type and respective weight etc..
The data read module includes: that data-reading unit, extraction of semantics unit, analysis of central issue and temperature calculate list
Member, in which: data-reading unit is connected with extraction of semantics unit, parses and transmits initial data；Extraction of semantics unit and hot spot
Analysis is connected with temperature computing unit and transmits sorted data；Analysis of central issue and temperature computing unit are connected with computing module
And transmit the temperature data in hot spot and its different time period.
Data-reading unit, extraction of semantics unit, analysis of central issue and temperature in the data read module calculate single
The renewal frequency that member provides data all in accordance with user is synchronous to calculate and updates respective data.
The extraction of semantics unit carries out hierarchical classification in semanteme according in it to the data being continuously generated at any time,
Total data is classified first, is classified again to the data of some classification thereafter, the total quantity of classification should be greater than
Maximum can show hot spot quantity in display parameters.
The hot spot refers to that temperature is more than certain semantic classes of minimum heat degree threshold, and the temperature of hot spot refers to according to certain class
The case where generation situation of other data calculates the data got, indicates the development of certain classification, temperature is higher, shows that category data are sent out
Raw speed is fast, and generation quantity is more, specifically:Wherein Δ t is the unit time being arranged in setup module, and D is should
The newly-increased quantity of the specifically relevant data type of classification, w are the weight of the specifically relevant data type.The formula is calculated in list
The newly-increased data weighting summation of all data of the related category in the time of position.
The temperature data in the different time period refer to the hot value obtained according to the different unit time, in which:
Temperature was calculated according to three periods: long period, middle period, short cycle, wherein long period is usually set in user's data-oriented
The α multiple of hot spot average duration T, wherein α value range is generally [1.0,3.0]；Middle cycle set is to be approximately equal to hot spot
Temperature T period of wavespTime, short cycle is the shortest time that user wishes monitoring generally by user setting.
The visualized data refers to that visualization is presented and is shown in the display such as type, label, position of icon in region
Appearance and its attribute data, comprising: current display data and history display data, and can be formed according to multiple display data
Dynamic display image.
The computing module includes: coordinate calculating unit, icon attribute computing unit and fine-adjusting unit, in which: coordinate
Computing unit is connected with fine-adjusting unit, calculates and transmit the theoretical coordinate of icon；Icon attribute computing unit and fine-adjusting unit phase
Even, calculate and transmit the attribute of icon；Fine-adjusting unit is connected with scheduler module, calculates and transmits final visualized data.
The theoretical coordinate of the icon, which refers to, indicates that the position in region is presented in visualization in the icon center of hot spot.It should
The distance of regional center is presented in fan-shaped region angle and hot spot distance visualization where the semantic classes as locating for hot spot of position
It determines.If the semantic classification of all icons is n classification in visualized data, the long period temperature of each classification is respectively (H1,
H2…Hn), region is presented into visualization and is divided into n fan-shaped region, the angle of sector where k-th of semantic classes from
It arrivesAccording to the semantic classes of hot spot, hot spot will be evenly distributed in a certain angle within fan-shaped region.Hot spot away from
Presenting from visualization is that hot spot duration T c is determined with a distance from regional center, if visualization presentation edges of regions and center away from
From maximum distance be L, hot spot distance visualization present regional center distance can basisCalculate initial value, in which:
The value range of a is 0.3~0.7, and the maximum value of limiting distance is L.That is the position of hot spot prolonging with the hot spot duration
It is long, and be moved to visualization and the edge in region is presented, and be maintained at edge until hot spot disappears.
The fine-adjusting unit calculates size according to the theoretical size of all icons and finely tunes coefficient gamma, finely tunes system according to size
Number adjustment icon size size.Fine-adjusting unit overlapping also mutual to icon carries out collision detection, by adjusting icon position
It sets to avoid being overlapped.Size fine tuning coefficient is for the sum of all icon Theoretical Areas multiplied by the loose coefficient of display again divided by display area
Area.When size fine tuning coefficient is greater than 1, icon theoretical size it is more loose will to guarantee that icon is shown divided by fine tuning coefficient,
It avoids crowded.Fine-adjusting unit is ranked up all icons by long period temperature, and since the lesser icon of long period temperature
Check whether that there are Chong Die with other icons one by one according to the position of each icon and its size.Once it was found that overlapping, then will
The biggish icon of long period temperature moves outward, until eliminating overlapping phenomenon.The final aobvious of icon is calculated in fine-adjusting unit
Show coordinate.
In user operation unit of the scheduler module according to the display parameters and interactive module that are arranged in setup module
Interactive input visualized data and its display mode are scheduled, which includes: that visualized data access is single
Member and dynamic control unit, in which: visualized data access unit is connected with computing module, saves and transmit visualized data,
Dynamic control unit is connected with interactive module, the visualized data and control data that transmission is shown for present image.
The dynamic control unit is according to user in the user operation unit of interactive module to image presentation mode sum number
It is investigated that seeing that the selection of mode controls image presentation content.The image presentation mode refers to the browsing of automatic or manual
Mode.The data inspection mode refers in real time or historical data checks mode.The auto-browsing mode is by temperature
The image presentation mode that the short cycle of calculating is automatically updated, manually browse mode is then the figure that user is refreshed manually
As presentation mode.The mode of checking of historical data refers to that user selectes historical period, shows the mode of historical data, real time data
The mode of checking refers to the mode that real time data is carried out according to the newest data input of system.
The interactive module includes: animation unit, static cell and user operation unit, in which: animation unit according to
The visualized data and control data point reuse or reset icon in visualization presentation region that scheduler module passes over
The attributes such as position, and according to the display of the attributes such as icon original position setting animated actions.Static cell is completed in animation unit
Animation controls after showing to be shown in visualization presentation region, users' input such as processing mouse, keyboard, and handles mouse suspension, mouse
Punctuate such as hits at the operation, to show more data of icon and carry out semantic classes customization.User operation unit is according to the dynamic
The control data setting control control state of control unit, display control control, operation of the processing user to control control.User
Operating unit is connected with the dynamic control unit, updates and transmits user to image presentation mode and data inspection mode
Selection and change.
Technical effect
Compared with prior art, the concrete condition of current time hot spot is not only presented in the present invention, highlights the big number of temperature
According to also having taken into account user and needed the longer state of development of hot spot paid close attention to, contacted by deducing distance factor and time
Come, can preferably show hot spot with the trend of time change, be easier people in visual angle and sent out according to time factor
The information hidden in existing initial data.Generally speaking, this method can become temperature of multiple hot spots within multiple time cycles
Change situation to be shown.Technical effect of the invention further comprises:
1, compared with existing Tag cloud, in this method for visualizing the position of icon and size not only with the heat of hot spot
Degree is related, and can show the temperature situation of change of hot spot, and therefore, user can obtain related hot spot on visual image
Temperature evolution.
2, this method for visualizing is compared with the method for visualizing such as existing line chart, Two-Dimensional Bubble figure, suitable for showing simultaneously
The case where a large amount of hot spots, is presented density and accomplishes the display equipment close to Tag cloud, suitable for different size size；
3, when this method for visualizing is presented more by icons presentation attributes such as shift in position, the internal presentations of setting icon
Between hot spot situation of change in the period；
4, this method for visualizing is suitable for all kinds of analysis of central issue applications, is classified by the semanteme of data, and result is presented
Granularity depend on semantic classification data, therefore can present under different grain size；
5, this method for visualizing is suitable for the analysis of large data, is applied equally to the analysis of low volume data and visual
Change.
Detailed description of the invention
Fig. 1 is the structural block diagram of realization system of the present invention；
Fig. 2 is the visualization result schematic diagram of visualization procedure of the present invention.
Specific embodiment
The present embodiment realize spring Visualization Model system towards analysis of central issue data set be newsletter archive collection W,
Each of newsletter archive set news package, which contains, has the following characteristics that issuing time, news content, source of news and news
Amount of reading, transfer amount, comment amount, the amount of thumbing up etc..As shown in Figure 1, the present embodiment includes: setup module, data read module, meter
Calculate module, scheduler module and interactive module, in which: setup module provides a user display parameters and the parameter of calculating parameter is set
Set function；Data read module reads the data streaming file provided from user, extracts the semantic information of data, and according to semanteme
Information carries out analysis of central issue and temperature calculates；Computing module reads hot spot and temperature data from data read module, will be hot
The temperature data of point and hot spot are mapped in spring Visualization Model, and visualized data is calculated；Scheduler module reads setting
The setting parameter of module saves visualized data, and according to the operational order of user in interactive module, takes out visualized data,
And it calls interactive module to carry out refreshing and shows；Interactive module generates final display image, and handles user's input.
The setup module is for parameters such as user setting display parameters, calculating parameters.Wherein news under normal circumstances
The hot spot average duration of categorical data is 3 days, therefore the settable long period of user is 6 days or 1 week, the heat of hot news
It spends period of waves and is generally one day, i.e., the temperature data of news have apparent cyclic fluctuation, therefore period in news in one day
May be configured as 1 day, the short cycle of news data analysis may be configured as 1 hour or 2 hours, short cycle parameter setting on the one hand by
User data collection speed determines, is on the one hand determined by the requirement to hot spot reaction speed；In setup module, user setting icon
Attribute and hot spot data corresponding relationship, in the present embodiment, the color attribute of icon is set as the short cycle of corresponding hot spot
Temperature, the size attribute of icon are set as the middle period temperature of hot spot.
The data read module reads the real time data of whole news collected by user and its news, including
The text of news itself and the reading number of each news real-time change comment on number, comment on text, thumb up quantity etc..Data
Read module reads the data of user, and carries out semantic analysis and ASSOCIATE STATISTICS to news, according to user setting or automatic point
News is divided into several classifications by class algorithm, extracts the keyword of news, and keyword combinatory analysis news is used under classification
Specific category, calculates the multicycle temperature of each hotspot, and the calculation formula of temperature is R=a1Y+a2P+a3Z+a4L,
Middle Y is to increase amount of reading newly in certain period of a certain hot spot, and P is to increase comment amount newly in certain period of a certain hot spot, and Z is newly-increased transfer amount, L
To increase the amount of thumbing up, a newly1~a4For the weighting parameters being arranged in setup module, [1,2,2,1.5] generally may be configured as.Higher than middle week
Phase heat degree threshold is judged as hot spot, and middle Ct value generally may be configured as 0.001 times of period temperature peak in the recent period.
The computing module by data read module calculate the hot spot that gets and its temperature data to be mapped to spring visual
In the feature for changing model.In the present embodiment, hot spot will be displayed as a visible bubble.All hot spots are returned several big
Under news category, such as society, sport, education, amusement etc., each classification are arranged in different fan-shaped regions, fan section respectively
The size in domain by the visible category temperature and determine, in this way, the fan-shaped region that hot spot is more or temperature is big is larger.When bubble is larger
There is hot keyword with what bubble was presented together, when bubble is smaller, only when mouse is suspended on bubble, can just show correspondence
Keyword.Emerging hot spot is gushed out from middle section, is determined at a distance from middle section by the length of time that hot spot is gushed out,
The bubble remoter apart from middle section shows that the hot spot that the bubble is characterized maintains higher temperature within the longer time.
It is limited to the size of display area, the distance that bubble is displaced outwardly is smaller and smaller, this ensure that keeping higher temperature for a long time
Bubble is continuously displayed at the periphery of display area.
In the present embodiment, temperature being counted in middle period i.e. one day and being expressed as bubble size, bubble is bigger, illustrates the same day
Temperature is larger；Current 1 hour temperature is expressed as the transparency of bubble, and color is more transparent, illustrates that the temperature in 1 hour is lower；
The temperature variation in middle period is expressed as the color of bubble, and color is redder, shows that the speed of the hot spot heating is higher.
The collision detection and anticollision processing that bubble has been used in computing module, in two bubbles for detecting collision,
By the big bubble of radius to the mobile certain distance proportional to radius in deep direction, until no longer detecting collision.
The scheduler module in setup algorithm parameter in setup module and interactive module in user operation unit according to using
The image presentation mode and data inspection mode of family selection, call interactive module to carry out the presentation of image.In the present embodiment, when
When user selects auto-browsing mode, scheduler module will be in call interactive module to refresh visualization for refresh interval by short cycle
The display in existing region is as a result, when user's selection manually browses through mode or historical data checks mode, and scheduler module is by basis
The requested data of user are transmitted in the instruction of user, and corresponding image is presented by interactive module.
The interactive module to the association attributes assignment of bubble and is shown in screen according to the calculated data of computing module
On curtain, and the animation process such as mobile are carried out to bubble, user can by user's operation module to dynamic visualized graphs into
The operations such as row pause, beginning, retrogressing, it is also an option that historical period carrys out playback historical data.
The present embodiment is related to the data variation trend spring visual display method towards analysis of central issue of above system, presses
According to the data read module to user input data progress semantic classification as a result, display area is divided into multiple fan sections
Domain, each fan-shaped region are the display area of same type hot spot data to be presented, such data represented by the hot spot
When overall temperature is greater than threshold value, each hot spot is expressed with an icon, and icon is gushed out from display area center.
The size of the fan-shaped region depends on the long-term temperature size of such data, can be according to the totality of such data
Quantity can show that number of icons and size are adjusted.The size of fan-shaped region over time according to data changes in distribution and become
Change；Development is a heat when a certain more careful semantic type data are more than middle period heat degree threshold in each fan-shaped region
Point, is expressed as an icon, which can be but not limited to bubble type.
The theoretical coordinate of the icon of the expression hot spot is by where the duration of the hot spot represented by icon and hot spot
Semantic classes determines, but the final displaing coordinate of icon is by preventing the fine-adjusting unit of overlapping from determining.Other display properties of icon
Including but not limited to size, background and forecolor, peripheral colors, transparency, internal pattern movement velocity and direction etc., by heat
Multiple period temperatures of point and other attributes of hot spot determine.
The icon gush out direction depending on where it fan-shaped region and anticollision parameter.Icon is gushed out from center
Afterwards at any time gradually to external diffusion, speed is by fastly to slow；Icon is then continued in display area by icon with gushing out at a distance from center
In be able to the time shown and anticollision parameter and determine.When the overall temperature of such data represented by the icon is less than threshold value, figure
Mark disappears.
The anticollision parameter be in order to avoid in display area icon it is crowded caused by overlapping, icon final position with
Offset between calculating position.In spring model, the realization of anticollision is that crowded icon will occur will be descending to remote
Excentric direction is moved in fan-shaped region, until no longer detecting collision.
Visual result schematic diagram is as shown in Fig. 2, in this example it is shown that region is that there are four classification distribution is different
The fan-shaped region of size, No. 1 bubble in the second class, gushes out from center, becomes larger and spreads to periphery, illustrates No. 1 bubble
Representative hot spot continues for some time, and the situation constantly enhanced is presented in temperature.No. 2 where third class in fan-shaped region
Bubble is gushed out from center, gradually becomes smaller and spreads around, illustrates that the temperature of data representated by the bubble is reaching high value
Afterwards, constantly decline.No. 3 light red bubbles disappearing for second day after gushing out in first kind fan-shaped region, illustrates the bubble simultaneously
Longer attention rate is not obtained.No. 4 light blue bubbles in the 4th class variation tendency after gushing out is similar with No. 1 bubble, is
Instantly the focus of attention.
The present embodiment can be presented analysis of central issue data set and meet screening conditions in given observing time interval range
Hot spot situation of change, in visualized graphs, other attribute datas of data are embodied in the big of bubble in spring Visualization Model
In each attribute such as small, coordinate, transparency.Each bubble illustrates a current hot spot, and the dynamic of the bubble icon becomes
Change the development and change situation for illustrating the hot spot.
Due to needing to count according to the short cycle of user setting (i.e. the most short refresh cycles of data) in real time in the present embodiment
Calculate hot spot and its temperature, it is therefore desirable to according to the different application environment of how much deployment of the calculation amount of text feature data.The matter of fundamental importance
Data read module individually can be deployed in server or big data environment by the characteristic calculating of calculation amount.Other modules
Application environment is the equipment with display terminal such as individual PC, graphics workstation or smart machine, point of display terminal
Degree of distinguishing then is needed to show the number of hot spot quantity to select by user.
In the present embodiment, data read module is deployed in work station, handles daily 10,000 news datas, other moulds
Block portion is deployed in personal PC or smart machine, hot spot that can be real-time display 10~100 or more, and hot spot quantity depends on aobvious
The resolution ratio for showing equipment generally selects 10~20 hot spots of display in smart machine, is 1280*800 in monitor resolution
Desktop computer on may be selected display 20~50 hot spots, equipped with resolution ratio greater than 1680*1050 display on can
Selection 30~100 hot spots of display.User can according to respective demand determine display hot spot quantity number.Hot spot quantity is more,
Hot spot display size is smaller, and the lesser loose coefficient of display may be selected at this time, conversely, then selecting the biggish loose coefficient of display.
Above-mentioned specific implementation can by those skilled in the art under the premise of without departing substantially from the principle of the invention and objective with difference
Mode carry out local directed complete set to it, protection scope of the present invention is subject to claims and not by above-mentioned specific implementation institute
Limit, each implementation within its scope is by the constraint of the present invention.
Claims (10)
1. a kind of data variation trend spring visualization system towards analysis of central issue characterized by comprising setup module,
Data read module, computing module, scheduler module and interactive module, in which: setup module provide a user display parameters and
The parameter setting function of calculating parameter；Data read module reads the data streaming file provided from user, extracts the language of data
Adopted information, and analysis of central issue and temperature calculating are carried out according to semantic information；Computing module reads the heat from data read module
Point and temperature data, the temperature data of hot spot and hot spot are mapped in spring Visualization Model, visualized data is calculated；
Scheduler module reads the setting parameter of setup module, saves visualized data, and according to the operational order of user in interactive module,
Visualized data is taken out, and calls interactive module to carry out refreshing and shows；Interactive module generates final display image, and handles use
Family input；
The spring Visualization Model is used to simulate the physical aspect of the spring in reality, and hot spot is shown as one in a model
Icon, icon simulate the bubble gushed out in spring physical model；In spring physical model, when hot spot for the first time occur when from
Central area gushes out, and gradually spreads around at any time, and according to the situation of change of temperature in diffusion process, the attribute of icon is continuous
It changes；
The hot spot refers to that temperature is more than certain semantic classes of minimum heat degree threshold, the temperature of hot spot are as follows:Its
Middle Δ t is the unit time being arranged in setup module, and D is the newly-increased quantity of the specifically relevant data type of the category, and w is that this is specific
The weight of associated data type, the newly-increased data which is calculated all data of the related category within the unit time add
Weigh summation；
The computing module includes: coordinate calculating unit, icon attribute computing unit and fine-adjusting unit, in which: coordinate calculates
Unit is connected with fine-adjusting unit, calculates and transmit the theoretical coordinate of icon；Icon attribute computing unit is connected with fine-adjusting unit, meter
Calculate and transmit the attribute of icon；Fine-adjusting unit is connected with scheduler module, calculates and transmits final visualized data；
The theoretical coordinate of the icon, which refers to, indicates that the position in region is presented in visualization in the icon center of hot spot, when visual
The semantic classification for changing all icons in data is n classification, and the long period temperature of each classification is respectively (H1,H2...Hn), it will
Visualization is presented region and is divided into n fan-shaped region, the angle of sector where k-th of semantic classes fromIt arrives
According to the semantic classes of hot spot, hot spot will be evenly distributed in a certain angle within fan-shaped region, and hot spot distance visualization is in
The distance of existing regional center is hot spot duration TcIt determines, if the most long distance of edges of regions and centre distance is presented in visualization
It can basis from the distance for L, hot spot distance visualization presentation regional centerCalculate initial value, in which: the value model of a
Enclosing is 0.3~0.7, and the maximum value of limiting distance is L, i.e. the position of hot spot and is moved with the extension of hot spot duration
The edge in region is presented to visualization, and is maintained at edge until hot spot disappearance, TpFor the temperature period of waves of hot spot.
2. system according to claim 1, characterized in that the setup module includes: display parameters setting unit, meter
Calculate parameter set unit and parameter access unit, in which: display parameters setting unit is connected with parameter access unit and handles use
The display parameters at family input and transmit information；Calculating parameter setting unit is connected with parameter management unit and handles the calculating of user
Parameter inputs and transmits information；Parameter access unit is connected respectively with data read module and computing module and scheduler module to deposit
Take parameter；
The display parameters include the classification selection of data to be presented, animation speed, display area size, icon sizes, word
Body and size, minimum heat degree threshold, visualization picture refreshing time interval, maximum can show hot spot quantity, the loose coefficient of display；
The calculating parameter include: time cycle in temperature calculation formula, temperature calculate involved data type and
Respective weight.
3. system according to claim 1, characterized in that the data read module includes: data-reading unit, language
Adopted extraction unit, analysis of central issue and temperature computing unit, in which: data-reading unit is connected with extraction of semantics unit, and parsing is simultaneously
Transmit initial data；Extraction of semantics unit is connected with analysis of central issue and temperature computing unit and transmits sorted data；Hot spot
Analysis and temperature computing unit are connected with computing module and transmit the temperature data in hot spot and its different time period.
4. system according to claim 3, characterized in that data-reading unit, language in the data read module
The renewal frequency that adopted extraction unit, analysis of central issue and temperature computing unit provide data all in accordance with user is synchronous to be calculated and updates each
From data, in which: extraction of semantics unit to the data being continuously generated at any time according in it semanteme carry out hierarchical classification,
Total data is classified first, is classified again to the data of some classification thereafter, the total quantity of classification should be greater than
Maximum can show hot spot quantity in display parameters.
5. system according to claim 1, characterized in that the scheduler module includes: visualized data access unit
And dynamic control unit, in which: visualized data access unit is connected with computing module, saves and transmit visualized data, moves
State control unit is connected with interactive module, the visualized data and control data that transmission is shown for present image.
6. system according to claim 5, characterized in that the interactive module include: animation unit, static cell and
User operation unit, in which: visualized data and control data point reuse that animation unit is passed over according to scheduler module or
The position attribution that icon in region is presented in visualization is reset, and according to the aobvious of the original position attribution setting animated actions of icon
Show, static cell is completed to show in control visualization presentation region after animation is shown in animation unit, and processing mouse, keyboard are defeated
Enter, and handle mouse suspension, mouse clicking operation, to show more data of icon and carry out semantic classes customization, Yong Hucao
Make unit and control control state is set according to the control data of the dynamic control unit, display control control handles user couple
The operation of control is controlled, user operation unit is connected with the dynamic control unit, updates and transmits user to image presentation
The selection and change of mode and data inspection mode.
7. it is a kind of according to claim 1~6 in any system the data variation trend spring towards analysis of central issue it is visual
Change display methods, which is characterized in that according to the data read module to user input data progress semantic classification as a result, will
Display area is divided into multiple fan-shaped regions, each fan-shaped region is the display area of same type hot spot data to be presented,
When the overall temperature of such data represented by the hot spot is greater than threshold value, each hot spot is expressed with an icon, and icon is from display
Regional center is gushed out.
8. according to the method described in claim 7, it is characterized in that, the size of the fan-shaped region depends on the length of such data
Phase temperature size, can according to the total number of such data, can show that number of icons and size are adjusted, fan-shaped region it is big
The small changes in distribution over time according to data and change；A certain more careful semantic type data are super in each fan-shaped region
Development is a hot spot when crossing middle period heat degree threshold, is expressed as an icon.
9. according to the method described in claim 7, it is characterized in that, the theoretical coordinate of the icon of the described expression hot spot is by icon institute
Semantic classes determines where the duration of the hot spot of expression and hot spot, and the final displaing coordinate of icon is by preventing the fine tuning of overlapping
Unit determines.
10. according to the method described in claim 7, it is characterized in that, the icon gushes out direction depending on the fan where it
Shape region and anticollision parameter, icon gush out from center after at any time gradually to external diffusion, speed is by fastly to slow；Icon with gush out
The distance at center then continues the time for being able to show in display area by icon and anticollision parameter determines.
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| CN108763429B (en) * | 2018-05-24 | 2022-03-29 | 成都睿码科技有限责任公司 | Two-dimensional display method for simulating development trend of cell-breeding news events |
| CN112783398A (en) * | 2019-11-08 | 2021-05-11 | 阿里巴巴集团控股有限公司 | Display control and interaction control method, device, system and storage medium |
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| CN111737556B (en) * | 2020-07-03 | 2021-01-26 | 和宇健康科技股份有限公司 | Big data information heat analysis method and cloud platform device |
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