CN104199949B - Under a kind of real time environment extensive dynamic object method for visualizing is realized using grid - Google Patents

Under a kind of real time environment extensive dynamic object method for visualizing is realized using grid Download PDF

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CN104199949B
CN104199949B CN201410464466.7A CN201410464466A CN104199949B CN 104199949 B CN104199949 B CN 104199949B CN 201410464466 A CN201410464466 A CN 201410464466A CN 104199949 B CN104199949 B CN 104199949B
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visualizing
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viewing area
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CN104199949A (en
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章鹏
陈琼
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CETHIK Group Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/56Information retrieval; Database structures therefor; File system structures therefor of still image data having vectorial format
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2228Indexing structures
    • G06F16/2246Trees, e.g. B+trees
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation

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Abstract

The present invention relates to realize extensive dynamic object method for visualizing using grid under a kind of real time environment, the inventive method is indexed by setting up R trees to large-scale data point, using the point being once filtrated to get in indication range, reduce amount of calculation, using positive non-overlapped principle, remove and show coincidence point, viewing area is divided by the way of grid, the target in algorithm filter grid by the principle of the maximum display number of grid and first-in last-out, obtains final display target.The present invention improves the dynamic differential of destination object according to the flush mechanism for being less than GPS frequency.Dynamic filtration is carried out to the target after inquiry using grid filter method, the inquiry that both pictures and texts are excellent is realized, improves system interactive.

Description

Under a kind of real time environment extensive dynamic object method for visualizing is realized using grid
Technical field
It is extensive dynamic the present invention relates to being realized under field of Computer Graphics, more particularly to a kind of real time environment using grid State target method for visualizing.
Background technology
Display mode is divided into base map and thematic map by general GIS according to the interest level of atural object, and base map refers to data Measure that big change frequency is low, or the atural object being not concerned with is shown as auxiliary background, such as soil, house, mountain range, river.These Atural object generalized information system generally uses the form of Grid of vector data, and complicated vector data is switched into simple picture is shown Show.Thematic map refers to that generalized information system is according to the actual requirements on base map, if being superimposed dried layer destination object interested, such as water conservancy is special Topic, geological disaster special topic, commercial topics etc., these data space positions are fixed in general, generally using grid Change (WMS) or directly vector (WFS) display.Monitoring objective belongs to thematic map class, and target is dynamic motion, and general quiet State special topic is otherwise varied, it is necessary to which real-time calculate target location and shown, and under small yardstick and larger indication range, shows Show that data volume is larger, have larger requirement to calculating speed, client bearing capacity, request response time, display aesthetics.
Due to the limitation of B/S frameworks, when destination number is larger, disposably show that all targets can exceed client load Ability, causes front end to show the stuck consequence of the page.In existing extensive spatial database control research, generally using level The method of detail model (LOD) carries out hierarchical classification to Static-state Space atural object, according to certain regular display space atural object.But The visual processing method of spatial object of not effective dynamic change.
The content of the invention
The present invention is to overcome above-mentioned weak point, it is therefore intended that provides and utilizes grid to realize big advise under a kind of real time environment Mould dynamic object method for visualizing, algorithm filter grid of this method by the principle of the maximum display number of grid and first-in last-out Interior target, final display target;This method can improve the dynamic differential of destination object, realize the inquiry that both pictures and texts are excellent, Improve system interactive.
The present invention is to reach above-mentioned purpose by the following technical programs:Realized on a large scale using grid under a kind of real time environment Dynamic object method for visualizing, comprises the following steps:
(1) according to the size of client map area, M*N rectangular mesh is built;
(2) all target GPS points are built and indexed, it is determined that and being carried out according to actual displayed area scope to all targets Filter, forms Primary objectives group;
(3) the target GPS point of Primary objectives group is ranked up and removes overlay target, form subgoal group;
(4) travel through the target in all grids, according to target can not be excessive principle and using filtering side first-in last-out Formula is filtered to target, forms whole level target complex;
(5) calculating is timed at regular intervals, is refreshed target information and is reconstructed viewing area target;
(6) target obtained according to attribute query is filtered and space is calculated, determine viewing area and best image ratio Example chi, carries out Dynamic Announce.
Preferably, depending on the ratio of the rectangular mesh of step (1) the structure M*N is according to client viewing area size, net Depending on lattice quantity is according to actual monitored destination number and spacial distribution density.
Preferably, described number of grid is according to the rule depending on actual monitored destination number and spacial distribution density Target is more, and distribution density is big, and grid number is more;Target is few, and distribution density is small, and grid number is fewer.
Indexed preferably, the step (2) builds R trees to all target GPS points;Viewing area geography according to the map is sat Mark scope and establish actual displayed area scope.
Preferably, being entered in the step (3) to the target GPS point of Primary objectives group using positive non-overlapped filter method Row sorts and removes overlay target, comprises the following steps:
(3.1) the size P*Q pixels of sets target icon, coordinate points are in the center of icon;
(3.2) all visible area targets are carried out according to abscissa (or ordinate) to be positive with abscissa (or ordinate) Sequence;
(3.3) the rectangle buffering area P*Q of each coordinates of targets point is given, traversal obtains nonoverlapping target two-by-two.
Preferably, the target in step (4) grid, which obeys target in grid, is not more than grid high limit of tolerance value Rule, filtering removal is carried out to the target more than grid high limit of tolerance.
Preferably, step (5) fixed time interval is less than gps time interval.
Preferably, the step (6) determines viewing area scope according to the minimum enclosed rectangle of query resultses, calculate and work as Preceding map resolution ratio and systemic resolution apart from minimum value, determine map displaying ratio chi.
The beneficial effects of the present invention are:(1) R trees index is set up to large-scale data point, using three times progressive filterings Step obtains target and shows point, reduces display target quantity, improves and shows reasonability;(2) according to the refreshing machine for being less than gps time System, improves the dynamic differential of destination object;(3) grid filter method is reused according to the similitude of query resultses, it is real The existing inquiry that both pictures and texts are excellent, improves system interactive.
Brief description of the drawings
Fig. 1 is example initial data in the embodiment of the present invention 1;
Fig. 2 is the data after once filtering in the embodiment of the present invention 1;
Fig. 3 is the data after positive non-overlapped filtering in the embodiment of the present invention 1;
Fig. 4 is the data after three filterings in the embodiment of the present invention 1;
Fig. 5 is the visual structural representation of extensive dynamic monitoring objective of the invention;
Fig. 6 is the real-time calculation flow chart of extensive dynamic object of the invention.
Embodiment
With reference to specific embodiment, the present invention is described further, but protection scope of the present invention is not limited in This:
Embodiment 1:Extensive dynamic object method for visualizing is realized using grid under a kind of real time environment, it is main to include such as Lower step:
(1) according to the size of client map area, 5*4 rectangular mesh is built;All target GPS points are built Index, it is determined that and being filtered according to actual displayed area scope to 5000 dynamic vehicles, formation Primary objectives group;Wherein, mesh Mark part is loaded, and the target loading in the range of viewing area, other targets are not loaded with.
Map area realistic objective is a lot, first has to once filter map area target, returns in viewing area Target.Target search can be converted to actual coordinate according to the angle point of viewing area four, build the object set of R trees index In conjunction, the target of viewing area scope is quickly obtained.
It is as shown in Figure 1 point to have viewing area and map area for initial data schematic diagram, on figure, the data warp shown in Fig. 1 Cross and schematic diagram data shown in Fig. 2 has just been obtained after the target in viewing area is loaded and once filtered, as shown in Fig. 2 Viewing area is divided into 5*4 rectangular mesh.
(2) the target GPS point of Primary objectives group is ranked up and removes overlay target, form subgoal group;Target The situation of overlapping covering can not occur, it is desirable to can understand and intuitively distinguish each target, object run trend can be checked And relative position.
Because target shows that icon has size, closely two points are it is possible that overlapping display or covering are aobvious Show, this effect of visualization is very poor, it is therefore desirable to secondary filter is carried out on the basis of step (1) filtering rule, delete overlapping Target.Used during secondary filter and be based on positive non-overlapped filter method.Assuming that the size 24*24 pixels of target icon, coordinate points In the center of icon, all visible area targets are ranked up according to abscissa by forward direction of abscissa, each mesh is given The rectangle buffering area 24*24 of coordinate points is marked, traversal obtains nonoverlapping target two-by-two.
A filtered data schematic diagram shown in Fig. 2 is just obtained after the positive non-overlapped filter method of this step Second of schematic diagram data as shown in Figure 3.
(3) travel through the target in all grids, according to target can not be excessive principle and using filtering side first-in last-out Formula is filtered to target, forms whole level target complex;
After this step, a grid at most 3 cars of display are set, its data result is as shown in Figure 4.
(4) gps time refresh interval is set as 10S, calculating is timed with 5S time interval, is refreshed target information and is laid equal stress on Structure viewing area target;
Because target is being moved always, it is possible to viewing area or turnover grid can be passed in and out, it is necessary to reconstruct viewing area target, Calculated in real time.If the timer interval time is more than or equal to 10S, the delta data that the reconstruct moment obtains target by the gross is carried out Unification and variety, it is impossible to react the randomness of target motion, therefore in order to simulate the motion of realistic objective, it should brushed with 5S Newly.But frequent refreshing can not be filtered, increase request response burden.
When client viewing area changes, quickly calculating can be carried out according to above-mentioned rule and obtain fresh target set.
Viewing area translates with user, scales map and changes, and client area change needs reconstructed mesh, and according to net Lattice screen display target according to the filtering rule of step (1), step (2) and step (3).
(5) target obtained according to attribute query is filtered and space is calculated, determine viewing area and best image ratio Example chi, carries out Dynamic Announce.
Space calculating can be carried out according to the target of filtering after condition query, obtain including the client area of target target, and Filtered according to the filtering rule of step (1), step (2) and step (3).
User can specify the target for checking affiliated area, therefore the target that system needs are obtained according to attribute query, reconstruct Viewing area, shows Filtration Goal, reaches the display effect of picture and text interoperability.This programme is according to the minimum enclosed rectangle of coordinates of targets With client viewing area length and width pixel value, map denotation optimum resolution is calculated, the pyramid point of optimum resolution and map Resolution parameter is compared, and the ratio zoom of map scaling is obtained, further according to the filtering of step (1), step (2) and step (3) Rule is filtered, and obtains Filtration Goal, returns to zoom, central point and Filtration Goal.
Embodiment 2:Extensive dynamic object method for visualizing is realized using grid under a kind of real time environment, it is extensive dynamic The visual structure of state monitoring objective is as shown in figure 5, it is mainly made up of client with service end;It is as shown in Figure 6 for this hair The bright real-time calculation flow chart of extensive dynamic object, mainly comprises the following steps, wherein client is mainly handled:
A) client map translation scaling, map visible area produces change, triggers the man-machine interactively condition of grid computing.
B) client obtains the environmental variance of map, and client data is packed, server is transmitted to by AJAX.
Server is received after the request of client, and filtering is started with reference to the computing environment of real time environment and service end, main Want step as follows:
(1) according to the size of client map area, 4*3 rectangular mesh is built;All target GPS points are built Index, it is determined that and being filtered according to actual displayed area scope to 4000 dynamic vehicles, formation Primary objectives group;Wherein, mesh Mark part is loaded, and the target loading in the range of viewing area, other targets are not loaded with.
(2) the target GPS point of Primary objectives group is ranked up and removes overlay target, form subgoal group;Target The situation of overlapping covering can not occur, it is desirable to can understand and intuitively distinguish each target, object run trend can be checked And relative position.
Because target shows that icon has size, closely two points are it is possible that overlapping display or covering are aobvious Show, this effect of visualization is very poor, it is therefore desirable to secondary filter is carried out on the basis of step (1) filtering rule, delete overlapping Target.Used during secondary filter and be based on positive non-overlapped filter method.Assuming that the size 30*30 pixels of target icon, coordinate points In the center of icon, all visible area targets are ranked up according to ordinate by forward direction of ordinate, each mesh is given The rectangle buffering area 30*30 of coordinate points is marked, traversal obtains nonoverlapping target two-by-two.
(3) travel through the target in all grids, according to target can not be excessive principle and using filtering side first-in last-out Formula is filtered to target, forms whole level target complex;
After this step, a grid at most 6 cars of display are set;
(4) gps time refresh interval is set as 5S, calculating is timed with 2S time interval, is refreshed target information and is laid equal stress on Structure viewing area target;
Because target is being moved always, it is possible to viewing area or turnover grid can be passed in and out, it is necessary to reconstruct viewing area target, Calculated in real time.If the timer interval time is more than or equal to 5S, the delta data that the reconstruct moment obtains target by the gross is carried out Unification and variety, it is impossible to react the randomness of target motion, therefore in order to simulate the motion of realistic objective, it should brushed with 2S Newly.
When client viewing area changes, quickly calculating can be carried out according to above-mentioned rule and obtain fresh target set.
Viewing area translates with user, scales map and changes, and client area change needs reconstructed mesh, and according to net Lattice screen display target according to the filtering rule of step (1), step (2) and step (3).
(5) target obtained according to attribute query is filtered and space is calculated, determine viewing area and best image ratio Example chi, carries out Dynamic Announce.
Space calculating can be carried out according to the target of filtering after condition query, obtain including the client area of target target, and Filtered according to the filtering rule of step (1), step (2) and step (3).
User can specify the target for checking affiliated area, therefore the target that system needs are obtained according to attribute query, reconstruct Viewing area, shows Filtration Goal, reaches the display effect of picture and text interoperability.This programme is according to the minimum enclosed rectangle of coordinates of targets With client viewing area length and width pixel value, map denotation optimum resolution is calculated, the pyramid point of optimum resolution and map Resolution parameter is compared, and the ratio zoom of map scaling is obtained, further according to the filtering of step (1), step (2) and step (3) Rule is filtered, and obtains Filtration Goal, returns to zoom, central point and Filtration Goal.
Wherein, extended attribute inquiry is able to realize that both pictures and texts are excellent, looks into seen interactive experience, key step bag Include:
(1) the extraterrestrial target inquiry of extension client, record map display area and engineer's scale.
(2) extended core is inquired about, to the coordinates modeling of core query resultses, builds minimum enclosed rectangle.
(3) using minimum enclosed rectangle as map visible area scope, map objects engineer's scale is calculated.
(4) filter data was calculated, assembling data are returned.
(5) client parsing data, set map best image ratio and best image area.
The technical principle for being the specific embodiment of the present invention and being used above, if conception under this invention institute The change of work, during the spirit that function produced by it is still covered without departing from specification and accompanying drawing, should belong to the present invention's Protection domain.

Claims (6)

1. realize extensive dynamic object method for visualizing using grid under a kind of real time environment, it is characterised in that including following step Suddenly:
(1) according to the size of client map area, M*N rectangular mesh is built;The M*N rectangular mesh of the structure Depending on ratio is according to client viewing area size, depending on number of grid is according to actual monitored destination number and spacial distribution density;
(2) all target GPS points are built and indexed, it is determined that and being filtered according to actual displayed area scope to all targets, shape Into Primary objectives group;
(3) the target GPS point of Primary objectives group is ranked up and removes overlay target, form subgoal group;
The target GPS point to Primary objectives group is ranked up using positive non-overlapped filter method and removes overlay target, Comprise the following steps:
(3.1) the size P*Q pixels of sets target icon, coordinate points are in the center of icon;
(3.2) all visible area targets are ranked up according to abscissa by forward direction of abscissa, wherein, can be by this step Abscissa replaces with ordinate;
(3.3) the rectangle buffering area P*Q of each coordinates of targets point is given, traversal obtains nonoverlapping target two-by-two;
(4) travel through the target in all grids, according to target can not be excessive principle and using filter type pair first-in last-out Target is filtered, and forms whole level target complex;
(5) calculating is timed at regular intervals, is refreshed target information and is reconstructed viewing area target;
(6) target obtained according to attribute query is filtered and space is calculated, determine viewing area and best image engineer's scale, Carry out Dynamic Announce.
2. extensive dynamic object method for visualizing is realized using grid under a kind of real time environment according to claim 1, Characterized in that, described number of grid is got over according to the rule depending on actual monitored destination number and spacial distribution density for target Many, distribution density is big, and grid number is more;Target is few, and distribution density is small, and grid number is fewer.
3. extensive dynamic object method for visualizing is realized using grid under a kind of real time environment according to claim 1, Indexed characterized in that, the step (2) builds R trees to all target GPS points;Viewing area geographic coordinate range according to the map Establish actual displayed area scope.
4. extensive dynamic object method for visualizing is realized using grid under a kind of real time environment according to claim 1, Characterized in that, the target in step (4) grid obeys the rule that target in grid is not more than grid high limit of tolerance value, it is right Target more than grid high limit of tolerance carries out filtering removal.
5. extensive dynamic object method for visualizing is realized using grid under a kind of real time environment according to claim 1, Characterized in that, step (5) fixed time interval is less than gps time interval.
6. extensive dynamic object method for visualizing is realized using grid under a kind of real time environment according to claim 1, Characterized in that, the step (6) determines viewing area scope according to the minimum enclosed rectangle of query resultses, current map is calculated Resolution ratio and systemic resolution apart from minimum value, determine map displaying ratio chi.
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CN105512312A (en) * 2015-12-11 2016-04-20 中国航空工业集团公司西安航空计算技术研究所 Accelerating method for two-dimensional map library
CN107507256B (en) * 2017-08-07 2020-05-19 中国电子科技集团公司第二十八研究所 Real-time drawing method of large-batch ship targets based on grid aggregation in VTS system
CN109977179B (en) * 2019-02-19 2021-10-15 中电海康集团有限公司 Method for realizing convergence and dispersion visualization of mass ground object mark points through layered grid division
CN110427531B (en) * 2019-07-19 2022-07-01 清华大学 Method and system for grid layout visualization of multiple samples
CN112462366B (en) * 2020-10-10 2023-08-08 深圳大学 SAR data point visualization method, intelligent terminal and storage medium
CN115860304B (en) * 2023-02-27 2023-05-23 江西少科智能建造科技有限公司 Ground warehouse evacuation route planning method, system, storage medium and equipment

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