CN112966041A - Data processing method, device, equipment and storage medium - Google Patents
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Abstract
The application provides a data processing method, a data processing device, data processing equipment and a storage medium. The data processing method comprises the following steps: receiving a vector data display instruction, wherein the vector data display instruction comprises vector data block information to be displayed; acquiring a multi-level display model in a corresponding display range according to the vector data block information, wherein the multi-level display model is generated according to elements, element standard structures and element keywords of the vector data block information; and displaying the multi-level display model. According to the embodiment of the application, the storage and use efficiency of the map data can be improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a data processing method, apparatus, device, and storage medium.
Background
The map data is typically stored in the form of vectors. With the rapid development of the GIS (geographic Information system) industry, the accumulation of the original vector data and the expansion of the vector data range, the generation of the massive dispersed vector result data follows, and how to efficiently manage and use the massive dispersed vector result data becomes a new challenge in the GIS field.
Disclosure of Invention
The embodiment of the application provides a data processing method, a device, equipment and a storage medium, which are used for solving the problems in the related technology, and the technical scheme is as follows:
in a first aspect, an embodiment of the present application provides a data processing method, including:
receiving a vector data display instruction, wherein the vector data display instruction comprises vector data block information to be displayed;
acquiring a multi-level display model in a corresponding display range according to the vector data block information, wherein the multi-level display model is generated according to elements, element standard structures and element keywords of the vector data block information;
and displaying the multi-level display model.
In one embodiment, the method further comprises:
acquiring elements, element standard structures and element keywords of vector data block information;
constructing a vector mosaic data table according to the elements, the element standard structure and the element keywords of the vector data block information, wherein the vector mosaic data table comprises the corresponding relation among the elements, the element standard structure and the element keywords of the vector data block information;
constructing a multi-detail level LOD snapshot corresponding to each element layer;
and generating a multi-level display model according to the multi-level of detail LOD snapshot.
In one embodiment, obtaining a multi-level display model within a corresponding display range according to the vector data block information includes:
acquiring a corresponding display range and a corresponding display proportion according to the vector data block information;
determining at least one piece of vector data block information from a set index table according to the corresponding display range and the display proportion;
and acquiring a multi-level display model corresponding to at least one piece of vector data block information.
In one embodiment, the vector data block information includes a blob and/or an administrative region.
In one embodiment, the data processing method further comprises:
acquiring a vector data updating instruction, wherein the vector data updating instruction comprises vector data block information needing to be updated;
and regenerating the multi-level display model in the corresponding display range and updating the corresponding original multi-level display model according to the vector data block information needing to be updated.
In a second aspect, an embodiment of the present application provides a data processing apparatus, including:
the display indication receiving module is used for receiving a vector data display indication, and the vector data display indication comprises vector data block information to be displayed;
the generating module is used for acquiring a multi-level display model in a corresponding display range according to the vector data block information, and the multi-level display model is generated according to the elements, the element standard structure and the element keywords of the vector data block information;
and the display module is used for displaying the multi-level display model.
In one embodiment, the data processing apparatus further comprises:
the acquisition module is used for acquiring elements, element standard structures and element keywords of the vector data block information;
the data table module is used for constructing a vector mosaic data table according to the elements, the element standard structure and the element keywords of the vector data block information, and the vector mosaic data table comprises the corresponding relation among the elements, the element standard structure and the element keywords of the vector data block information;
the snapshot module is used for constructing multi-detail level LOD snapshots corresponding to the element layers;
and the generating module is used for generating a multi-level display model according to the multi-level of detail LOD snapshot.
In one embodiment, the generating module comprises:
the proportion unit is used for acquiring a corresponding display range and a corresponding display proportion according to the vector data block information;
the determining unit is used for determining at least one piece of vector data block information from a set index table according to the corresponding display range and the display proportion;
and the picture unit is used for acquiring a multi-level display model corresponding to at least one piece of vector data block information.
In one embodiment, the vector data block information includes a blob and/or an administrative region.
In one embodiment, the apparatus further comprises:
the updating indication module is used for acquiring a vector data updating indication which comprises vector data block information needing to be updated;
and the updating module is used for regenerating the multi-level display model in the corresponding display range and updating the corresponding original multi-level display model according to the vector data block information needing to be updated.
In a third aspect, an embodiment of the present application provides a data processing apparatus, including: a processor and a memory, the memory storing instructions therein, the instructions being loaded and executed by the processor to implement a method as provided by any of the embodiments of the present application.
In a fourth aspect, the present application provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the computer program implements a method according to any one of the embodiments of the present application.
The advantages or beneficial effects in the above technical solution at least include: through obtaining the multi-level show model that vector data piece information corresponds, then show multi-level show model to make reading, the show speed of map data can promote, be convenient for carry out quick visualization with map data. When the map data is managed, the map data can be classified and managed according to the areas and the elements, the management efficiency of the map data is improved, and the storage of the map data is more structured and ordered.
The foregoing summary is provided for the purpose of description only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of the present application will be readily apparent by reference to the drawings and following detailed description.
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In the drawings, like reference numerals refer to the same or similar parts or elements throughout the several views unless otherwise specified. The figures are not necessarily to scale. It is appreciated that these drawings depict only some embodiments in accordance with the disclosure and are therefore not to be considered limiting of its scope.
FIG. 1 is a schematic flow chart illustrating a data processing method according to an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating a data processing method according to another embodiment of the present application;
FIG. 3A is a schematic flow chart of an exemplary data processing method of the present application;
FIG. 3B is a schematic diagram of data processing according to an example of the present application;
FIG. 4 is a schematic diagram of a file storage directory according to an example of the present application;
FIG. 5A is a map schematic 1 of an example of the present application;
FIG. 5B is a map schematic 2 of an example of the present application;
FIG. 5C is a schematic illustration of different map accuracy displays according to an example of the present application;
FIG. 6 is a schematic view of an exemplary vector tessellation dataset according to the present application;
FIG. 7 is a schematic flow chart of another exemplary data processing method of the present application;
FIG. 8 is a diagram of a data processing apparatus according to an embodiment of the present application;
FIG. 9 is a schematic diagram of a data processing apparatus according to another embodiment of the present application;
FIG. 10 is a schematic diagram of a data processing apparatus according to yet another embodiment of the present application;
FIG. 11 is a schematic diagram of a data processing apparatus according to yet another embodiment of the present application;
fig. 12 is a schematic diagram of a data processing apparatus according to an embodiment of the present application.
Detailed Description
In the following, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present application. Accordingly, the drawings and description are to be regarded as illustrative in nature, and not as restrictive.
Fig. 1 shows a flow chart of a data processing method according to an embodiment of the present application. As shown in fig. 1, the data processing method may include:
step S11: receiving a vector data display instruction, wherein the vector data display instruction comprises vector data block information to be displayed;
step S12: acquiring a multi-level display model in a corresponding display range according to the vector data block information, wherein the multi-level display model is generated according to elements, element standard structures and element keywords of the vector data block information;
step S13: and displaying the multi-level display model.
The vector data display instruction can be issued in response to the user opening the folder where the vector data of the map is located.
For example, a user may select a vector data file in a folder in which vector data of a map is located, and after the vector data is selected, a vector data display instruction may be issued by clicking (single-click opening, double-click opening, or the like) or clicking a selected button or the like.
In this embodiment, the vector data may include data representing the position and shape of the map graphic or geographic entity in x, y coordinates in rectangular coordinates. Vector data generally represent the spatial position of a geographic entity as accurately as possible by recording coordinates. Specifically, the vector data in the present embodiment may be map-related data recorded in a vector manner.
The vector data may specifically include elements of a geographic area on a map, such as an administrative region of an area on a map, or a point of interest in an area, or the like, or a road.
The vector data block information may include a plurality of vector data, and the plurality of vector data may belong to the same region.
The elements of the vector data block information may specifically include elements in a map, such as roads, buildings, road signs, and the like.
The vector data block information may include one or more of a plurality of vector data block information. The plurality of pieces of vector data block information are obtained by sorting and arranging original dispersed vector data according to classification elements such as regions and attributes.
In the embodiment of the present application, the vector data block information may be generated into an image in advance, and a unit of generating the vector data block information of the image may be set. For example, for vector data block information corresponding to an administrative area of a city, a map image corresponding to the administrative area of the city is generated.
In this embodiment, the user may select the vector data block information to be displayed through a check operation, and display the map image according to the vector data block information selected by the user.
In this embodiment, each layer of the map may correspond to one piece of vector data block information. The map layer may specifically be a layer of a certain element of a certain range.
In this embodiment, the multi-level display model is used to present a display frame of a map on the display interface, different areas may correspond to different multi-level display models, and different map elements in the same area may correspond to different multi-level display models.
In the embodiment of the application, the multi-level display model corresponding to the vector data block information is obtained, and then the multi-level display model is displayed, so that the reading and displaying speed of the map data is improved, and the map data can be conveniently and quickly visualized. When the map data is managed, the map data can be classified and managed according to the areas and the elements, the management efficiency of the map data is improved, and the storage of the map data is more structured and ordered.
In one embodiment, as shown in fig. 2, the data processing method further includes:
step S21: acquiring elements, element standard structures and element keywords of vector data block information;
step S22: constructing a vector mosaic data table according to the elements, the element standard structure and the element keywords of the vector data block information, wherein the vector mosaic data table comprises the corresponding relation among the elements, the element standard structure and the element keywords of the vector data block information;
step S23: constructing a multi-Level Of Detail (LOD) snapshot corresponding to each element layer;
step S24: and generating a multi-level display model according to the multi-level of detail LOD snapshot.
In this embodiment, the element standard structure may be a standard structure of the map data element layer, such as a configuration, a data structure, and the like of the element.
In the embodiment, the LOD snapshots corresponding to the element layers are constructed, so that when the map data are used, the loading time of the map data can be shortened, the map information can be displayed as soon as possible, and the use efficiency of the map data is improved.
In one embodiment, obtaining a multi-level display model within a corresponding display range according to the vector data block information includes:
acquiring a corresponding display range and a corresponding display proportion according to the vector data block information;
determining at least one piece of vector data block information from a set index table according to the corresponding display range and the display proportion;
and acquiring a multi-level display model corresponding to at least one piece of vector data block information.
The display range can be determined according to the vector data block information, and the display proportion can be firstly set according to a default proportion. For example, if the user selects the vector data block information of city a, the multi-level display model displayed to the user is the multi-level display model corresponding to the vector data block information of city a.
In one embodiment, the vector data block information includes a blob and/or an administrative region.
In this embodiment, the map spots may be formed by, for example, using a certain proportion of a topographic map as a work base map, classifying land units (plots) having substantially the same land appearance and land utilization type and substantially the same water and soil loss type into one type, surveying the units based on the land units, and then sketching the units on the topographic map.
In this embodiment, the display ratio may be determined according to a ratio adjusted by a user after the initial display time, where the initial display time is the initial ratio.
In this embodiment, the vector data block information may include a spot and an administrative area, so that when storing, the vector data may be stored according to a classification, which is convenient for management, and when using, a user may select the vector data block information to be displayed for display.
In one embodiment, the data processing method further comprises:
acquiring a vector data updating instruction, wherein the vector data updating instruction comprises vector data block information needing to be updated;
and regenerating the multi-level display model in the corresponding display range and updating the corresponding original multi-level display model according to the vector data block information needing to be updated.
The user can add the vector data block information again or delete the existing vector data block information by controlling the adding and deleting buttons in the menu.
According to the embodiment of the application, vector data are divided into vector data block information according to regions and elements, so that mosaic management of scattered vector result data is achieved, and a fast and uniform management channel is provided for vector data which are in a large number of structural standards but are stored in a scattered mode. The embodiment of the application adopts a mixed technology of combining the vector data set and the file database, can respectively perform mosaic processing on a plurality of dispersed result data of different types according to classified keywords, generates the multilevel LOD by creating indexes on the dispersed vector data set on the premise of not changing the original dispersed vector result data, adopts a dynamic scheduling technology, and provides the functions of dynamic mosaic and real-time processing of the vector data, thereby realizing efficient browsing, retrieval and unified management of the mass dispersed vector result data.
In one example, the data processing method includes the steps shown in fig. 3A, which are specifically as follows:
step S31: and extracting key elements, standard structures of the element layers and key words of the element layers, which meet the requirement of vector mosaic data management, from the standard result dispersed folder. As shown in fig. 3B, the dispersion vector result data is subjected to processing such as extraction of a component layer, extraction of a component layer standard structure, and extraction of a component layer keyword.
Step S32: and constructing a vector mosaic data set, and recording original element layers participating in vector mosaic data set management.
In the present example, the vector mosaic data set corresponds to the vector data block information in the foregoing embodiments.
Step S33: vector tessellation dataset metadata is formed from the vector tessellation dataset.
In this example, the vector mosaic data set metadata, as shown in fig. 3B, is an example of the vector mosaic data table in the foregoing embodiment. The vector tessellation data table may include correspondences between levels of LODs and vector tessellation data sets.
Step S34: and constructing LODs of each level of the mosaic data set of the element class.
Each level of LOD corresponds to a map layer corresponding to each piece of vector data block information. As shown in fig. 3B, the LODs at the respective levels of the mosaic data set are generated based on the boundary ranges of the respective element layers in the distributed vector result data, different scales (multiple scales), and a multi-level LOD generation rule.
Step S35: an indexing, access scheduling mechanism based on the vector tessellation dataset is formed. The structured metadata of the mosaic data set and the LODs of each level of the mosaic data set are stored in a GDM file database, an operation log table and an index table can be simultaneously stored in the database, and the index table can be used for searching the LODs of each level and the metadata of the mosaic data set.
Illustratively, the indexing and access scheduling mechanism may specifically be: and establishing a corresponding folder for each vector data block information, wherein the folder comprises the vector data block information. As shown in fig. 4, the folder may include tb (graphic patches) and xq (administrative regions), and the user may determine the vector data block information to be displayed by checking the file of the graphic patches or the administrative regions corresponding to the specific codes, where the number in fig. 4 corresponds to the ID of the vector data block information.
For the same region, an administrative region or a graphic spot can be selectively displayed, and part of contents in other layers can also be selectively displayed. The more information that is selected for presentation, the more dense the pattern elements on the presented image. As shown in fig. 5A and 5B, fig. 5A shows the effect of the patches only, and fig. 5B shows the effect of the patches on the administrative area. Fig. 5C is a fine to coarse display effect.
Vector data block information may be stored hierarchically due to the intersection between map elements or inclusion in included relationships. The user can determine the vector data block information to be displayed by checking the check box of the folder. Further, the vector data block information may be stored according to the driving of the tree directory.
Step S36: an update and maintenance mechanism based on the vector mosaic dataset is formed.
The embodiment of the application adopts the vector mosaic data set to carry out unified management on the vector data which are stored dispersedly, can greatly reduce the preprocessing time and the data transfer workload when displaying the map, and realizes the high-efficiency management and the quick browsing and displaying of the scattered vector result data. The multi-level LOD is quickly constructed for the original vector data, the original data is simplified, the requirement of quick response under a small scale can be met, a pixel filtering strategy and a dynamic LOD technology are adopted in the scheduling process, the data is reduced and simplified, the requirement of dynamic real-time rendering is met, and the requirements of updating and maintaining a large-scale multi-scale vector mosaic data set are met.
The data processing method disclosed by the embodiment of the application can be applied to GIS platform software in a specific mode of mosaic management of the scattered vector result data, and is used for improving the browsing and retrieval capacity of mass vector data. It should be noted that the technical solution disclosed in the embodiment of the present application is not limited to GIS platform software, and can also be applied to application software in GIS-related industries.
It should be noted that, although the data processing method is described above by taking map data as an example, those skilled in the art will understand that the present application should not be limited thereto. In fact, the user can flexibly set the data to be processed according to personal preference and/or actual application scene, as long as the data can be displayed through the pre-formed layer and the display speed is increased.
In this way, by storing the vector data in the form of vector data block information and displaying the vector data block information in the form of a layer, the data processing method according to the above embodiment of the present application can improve the management efficiency and the use efficiency of the map data.
FIG. 6 shows a schematic diagram of the structure of a vector tessellation data set in one example of the present application. The present example stores originally scattered vector data (vector data a1, vector data a2, vector data B1, vector data B2 … …) as structured vector data from the vector data original folder. That is, The mosaic data is stored in The GDM (Display environment Manager of GNOME, GNOME) database of fig. 6, and is stored in The form of a logical mosaic data set (vector mosaic data set) a and a logical mosaic data set B … …. Among them, GNOME is a set of purely free computer software running on an operating system that provides a graphical desktop environment. The logical mosaic data set A may be composed of vector data A1, vector data A2 … …, and the logical mosaic data set B may be composed of vector data B1, vector data B2 … ….
Fig. 7 is a schematic flow chart of a data processing method in an example of the present application, including:
step S71: a map browsing request is received.
Step S72: and judging the scale size of the current map.
If the current map scale is a large scale, the step S73 is entered; if the current map scale is a small scale, the process proceeds to step S74.
Step S73: and quickly searching through the range. The process advances to step S75.
Step S74: and quickly displaying the snapshot under the current scale. The process advances to step S76.
Step S75: the vector data of the specified range is returned and drawn on the map.
Step S76: vector data is loaded and rendered on a map.
Fig. 8 shows a block diagram of a data processing apparatus according to an embodiment of the present invention. As shown in fig. 8, the apparatus may include:
a display indication receiving module 81, configured to receive a vector data display indication, where the vector data display indication includes information of a vector data block to be displayed;
a generating module 82, configured to obtain a multi-level display model in a corresponding display range according to the vector data block information, where the multi-level display model is generated according to the element, the element standard structure, and the element keyword of the vector data block information;
and the display module 83 is used for displaying the multi-level display model.
In one embodiment, as shown in fig. 9, the data processing apparatus further includes:
an obtaining module 91, configured to obtain an element, an element standard structure, and an element keyword of the vector data block information;
a data table module 92, configured to construct a vector mosaic data table according to the elements, the element standard structure, and the element keywords of the vector data block information, where the vector mosaic data table includes a correspondence relationship between the elements, the element standard structure, and the element keywords of the vector data block information;
the snapshot module 93 is configured to construct a multiple level of detail LOD snapshot corresponding to each element layer;
and a generating module 94, configured to generate a multi-level display model according to the multi-level of detail LOD snapshot.
In one embodiment, as shown in FIG. 10, the generating module comprises:
a proportion unit 101, configured to obtain a corresponding display range and a display proportion according to the vector data block information;
a determining unit 102, configured to determine at least one piece of vector data block information from a set index table according to a corresponding display range and a display ratio;
the picture unit 103 is configured to obtain a multi-level display model corresponding to at least one piece of vector data block information.
In one embodiment, the vector data block information includes a blob and/or an administrative region.
In one embodiment, as shown in fig. 11, the data processing apparatus further includes:
an update indication module 111, configured to obtain a vector data update indication, where the vector data update indication includes vector data block information that needs to be updated;
and an updating module 112, configured to regenerate the multi-level display model in the corresponding display range according to the vector data block information that needs to be updated, and update the corresponding original multi-level display model.
The functions of each module in each apparatus in the embodiments of the present invention may refer to the corresponding description in the above method, and are not described herein again.
Fig. 12 shows a block diagram of a data processing apparatus according to an embodiment of the present invention. As shown in fig. 12, the data processing apparatus includes: a memory 910 and a processor 920, the memory 910 having stored therein computer programs operable on the processor 920. The processor 920 implements the data processing method in the above-described embodiment when executing the computer program. The number of the memory 910 and the processor 920 may be one or more.
The data processing apparatus further includes:
and a communication interface 930 for communicating with an external device to perform data interactive transmission.
If the memory 910, the processor 920 and the communication interface 930 are implemented independently, the memory 910, the processor 920 and the communication interface 930 may be connected to each other through a bus and perform communication with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 12, but this is not intended to represent only one bus or type of bus.
Optionally, in an implementation, if the memory 910, the processor 920 and the communication interface 930 are integrated on a chip, the memory 910, the processor 920 and the communication interface 930 may complete communication with each other through an internal interface.
Embodiments of the present invention provide a computer-readable storage medium, which stores a computer program, and when the program is executed by a processor, the computer program implements the method provided in the embodiments of the present application.
The embodiment of the present application further provides a chip, where the chip includes a processor, and is configured to call and execute the instruction stored in the memory from the memory, so that the communication device in which the chip is installed executes the method provided in the embodiment of the present application.
An embodiment of the present application further provides a chip, including: the system comprises an input interface, an output interface, a processor and a memory, wherein the input interface, the output interface, the processor and the memory are connected through an internal connection path, the processor is used for executing codes in the memory, and when the codes are executed, the processor is used for executing the method provided by the embodiment of the application.
It should be understood that the processor may be a Central Processing Unit (CPU), other general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or any conventional processor or the like. It is noted that the processor may be an advanced reduced instruction set machine (ARM) architecture supported processor.
Further, optionally, the memory may include a read-only memory and a random access memory, and may further include a nonvolatile random access memory. The memory may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile memory may include a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. Volatile memory can include Random Access Memory (RAM), which acts as external cache memory. By way of example, and not limitation, many forms of RAM are available. For example, Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), double data rate synchronous SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and direct memory bus RAM (DR RAM).
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the present application are generated in whole or in part when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process. And the scope of the preferred embodiments of the present application includes other implementations in which functions may be performed out of the order shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. All or part of the steps of the method of the above embodiments may be implemented by hardware that is configured to be instructed to perform the relevant steps by a program, which may be stored in a computer-readable storage medium, and which, when executed, includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module may also be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. The storage medium may be a read-only memory, a magnetic or optical disk, or the like.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various changes or substitutions within the technical scope of the present application, and these should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (12)
1. A data processing method, comprising:
receiving a vector data display instruction, wherein the vector data display instruction comprises vector data block information to be displayed;
acquiring a multi-level display model in a corresponding display range according to the vector data block information, wherein the multi-level display model is generated according to elements, element standard structures and element keywords of the vector data block information;
and displaying the multi-level display model.
2. The method of claim 1, further comprising:
acquiring elements, element standard structures and element keywords of the vector data block information;
constructing a vector mosaic data table according to the elements, the element standard structure and the element keywords of the vector data block information, wherein the vector mosaic data table comprises the corresponding relation among the elements, the element standard structure and the element keywords of the vector data block information;
constructing a multi-detail level LOD snapshot corresponding to each element layer;
and generating the multi-level display model according to the multi-level of detail LOD snapshot.
3. The method according to claim 2, wherein said obtaining a multi-level display model within a corresponding display range according to the vector data block information comprises:
acquiring a corresponding display range and a corresponding display proportion according to the vector data block information;
determining at least one piece of vector data block information from a set index table according to the corresponding display range and the display proportion;
and acquiring a multi-level display model corresponding to the at least one vector data block information.
4. The method of claim 1, wherein the vector data block information comprises a plaque and/or an administrative division.
5. The method of claim 1, further comprising:
acquiring a vector data updating instruction, wherein the vector data updating instruction comprises vector data block information needing to be updated;
and regenerating the multi-level display model in the corresponding display range and updating the corresponding original multi-level display model according to the vector data block information needing to be updated.
6. A data processing apparatus, comprising:
the display indication receiving module is used for receiving a vector data display indication, and the vector data display indication comprises vector data block information to be displayed;
the generating module is used for acquiring a multi-level display model in a corresponding display range according to the vector data block information, and the multi-level display model is generated according to elements, element standard structures and element keywords of the vector data block information;
and the display module is used for displaying the multi-level display model.
7. The apparatus of claim 6, further comprising:
the acquisition module is used for acquiring elements, element standard structures and element keywords of the vector data block information;
the data table module is used for constructing a vector mosaic data table according to the elements, the element standard structure and the element keywords of the vector data block information, and the vector mosaic data table comprises the corresponding relation among the elements, the element standard structure and the element keywords of the vector data block information;
the snapshot module is used for constructing multi-detail level LOD snapshots corresponding to the element layers;
and the generating module is used for generating the multi-level display model according to the multi-level of detail LOD snapshot.
8. The apparatus of claim 7, wherein the generating module comprises:
the proportion unit is used for acquiring a corresponding display range and a corresponding display proportion according to the vector data block information;
the determining unit is used for determining at least one piece of vector data block information from a set index table according to the corresponding display range and the display proportion;
and the picture unit is used for acquiring the multi-level display model corresponding to the at least one vector data block information.
9. The apparatus of claim 6, wherein the vector data block information comprises a blob and/or an administrative region.
10. The apparatus of claim 6, further comprising:
the updating indication module is used for acquiring a vector data updating indication, and the vector data updating indication comprises vector data block information needing to be updated;
and the updating module is used for regenerating the multi-level display model in the corresponding display range and updating the corresponding original multi-level display model according to the vector data block information needing to be updated.
11. A data processing apparatus, characterized by comprising: a processor and a memory, the memory having stored therein instructions that are loaded and executed by the processor to implement the method of any of claims 1 to 5.
12. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-5.
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