CN118069766A

CN118069766A - Map data loading method and system, map data editor and electronic equipment

Info

Publication number: CN118069766A
Application number: CN202410039474.0A
Authority: CN
Inventors: 陈敏; 杜康; 娄凯铭; 黄长安
Original assignee: Autonavi Software Co Ltd
Current assignee: Autonavi Software Co Ltd
Priority date: 2024-01-10
Filing date: 2024-01-10
Publication date: 2024-05-24

Abstract

The embodiment of the disclosure discloses a map data loading method, a system, a map data editor and electronic equipment, wherein the method comprises the following steps: receiving a reference map data loading request including a reference map data loading hierarchy and a reference map data loading range; determining a corresponding grid tile as response data based on the reference map data loading hierarchy and the reference map data loading range; a job map data loading request including a job map data loading layer and a job map data loading range or target attribute field value is received, and corresponding job vector data is loaded. According to the technical scheme, the reference map data is loaded in the form of the grid tiles, the operation map data is loaded in the form of the operation vector data, and the grid tile loading speed is high, so that the quick browsing of the reference map data without boundary limitation can be supported, meanwhile, the accurate loading of the operation map data can be realized, and the operation requirement of large-range data is met.

Description

Map data loading method and system, map data editor and electronic equipment

Technical Field

The disclosure relates to the technical field of map data processing, in particular to a map data loading method, a map data loading system, a map data editor and electronic equipment.

Background

Along with the development of construction of national traffic infrastructure, traffic regulation data forms are more abundant, such as limitation of urban external port vehicle running, limitation of truck running in urban loop and the like, and planar and line group data needing to be stored in a large range are generated. Unlike conventional map data such as dot-like, single-line-like data, etc., when such data is manufactured, it is necessary to refer to a wide range of map data to determine a specifically modified data object. At present, the loading mode of map data is that firstly, the range of data to be modified is determined, then, only vector data corresponding to the data to be modified and reference data of an expansion range generated based on the range of the data to be modified is loaded, the purpose is to reduce the amount of loaded data, as shown in fig. 1, white parts in fig. 1 are modifiable data, gray parts are only viewable and non-modifiable reference data obtained based on expansion of the modifiable data, but the loading mode of vector data loading is used for both modifiable data and non-modifiable data, the loading requirement of large-range data is difficult to meet, and the loaded map data only can support viewing of reference data in a certain range, and no boundary-limited browsing of the reference data can not be realized. Therefore, there is a need for a map data loading method capable of supporting borderless limit browsing of reference data and accurate loading of working map data at the same time to meet the working requirements of large-scale data.

Disclosure of Invention

The embodiment of the disclosure provides a map data loading method, a map data loading system, a map data editor and electronic equipment.

In a first aspect, an embodiment of the present disclosure provides a map data loading method, which is applicable to a map data processing server.

Specifically, the map data loading method includes:

Receiving a reference map data loading request, wherein the reference map data loading request comprises a reference map data loading level and a reference map data loading range, and the reference map data loading level is determined according to a user scaling;

determining a corresponding grid tile as response data to the reference map data loading request based on the reference map data loading hierarchy and the reference map data loading range;

and loading corresponding job vector data in response to receiving a job map data loading request, wherein the job map data loading request comprises a job map data loading layer and a job map data loading range or target attribute field value.

In a second aspect, embodiments of the present disclosure provide a map data loading method, which is applicable to a map data editor.

Specifically, the map data loading method includes:

in response to detecting a reference map data loading trigger action, generating a reference map data loading request according to the reference map data loading trigger action and sending the reference map data loading request to a map data processing server, wherein the reference map data loading request comprises: a reference map data loading level, a reference map data loading range, the reference map data loading level determined according to a user scale;

receiving a grid tile corresponding to the reference map data loading request and displaying the grid tile;

in response to detecting a job map data loading trigger action, generating a job map data loading request according to the job map data loading trigger action, and sending the job map data loading request to a map data processing server, wherein the job map data loading request comprises: the job map data load layer, the job map data load range or the target attribute field value;

And receiving the operation vector data corresponding to the operation map data loading request, and displaying the operation vector data on the grid tiles.

In a third aspect, embodiments of the present disclosure provide a map data loading method, which is applicable to a map data loading system including a map data processing server and a map data editor.

Specifically, the map data loading method includes:

The map data editor responds to detection of a reference map data loading trigger action, and generates a reference map data loading request according to the reference map data loading trigger action and sends the reference map data loading request to a map data processing server, wherein the reference map data loading request comprises: a reference map data loading level, a reference map data loading range, the reference map data loading level determined according to a user scale; in response to detecting a job map data loading trigger action, generating a job map data loading request according to the job map data loading trigger action, and sending the job map data loading request to a map data processing server, wherein the job map data loading request comprises: the job map data load layer, the job map data load range or the target attribute field value;

The map data processing server receives a reference map data loading request, and determines a corresponding grid tile based on the reference map data loading level and the reference map data loading range to serve as response data of the reference map data loading request; loading corresponding job vector data in response to receiving a job map data loading request;

The map data editor receives and displays grid tiles corresponding to the reference map data loading request; and receiving the operation vector data corresponding to the operation map data loading request, and displaying the operation vector data on the grid tiles.

In a fourth aspect, in an embodiment of the present disclosure, a map data editor is provided.

Specifically, the map data editor includes:

A first sending module configured to generate a reference map data loading request according to a reference map data loading trigger action in response to detecting the reference map data loading trigger action, and send the reference map data loading request to a map data processing server, wherein the reference map data loading request comprises: a reference map data loading level, a reference map data loading range, the reference map data loading level determined according to a user scale;

A first presentation module configured to receive a grid tile corresponding to the reference map data loading request and to present;

A second sending module configured to generate a job map data loading request according to a job map data loading trigger action in response to detecting the job map data loading trigger action, and send the job map data loading request to a map data processing server, wherein the job map data loading request includes: the job map data load layer, the job map data load range or the target attribute field value;

And a second display module configured to receive the job vector data corresponding to the job map data loading request and display the job vector data on the grid tile.

In a fifth aspect, a map data loading system is provided in an embodiment of the present disclosure.

Specifically, the map data loading system includes:

A map data editor configured to generate a reference map data loading request from a reference map data loading trigger action in response to detecting the reference map data loading trigger action, the reference map data loading request comprising: a reference map data loading level, a reference map data loading range, the reference map data loading level determined according to a user scale; receiving a grid tile corresponding to the reference map data loading request and displaying the grid tile; in response to detecting a job map data loading trigger action, generating a job map data loading request according to the job map data loading trigger action, and sending the job map data loading request to a map data processing server, wherein the job map data loading request comprises: the job map data load layer, the job map data load range or the target attribute field value; receiving the operation vector data corresponding to the operation map data loading request, and displaying the operation vector data on the grid tiles;

a map data processing server configured to receive a reference map data loading request, determine a corresponding grid tile as response data to the reference map data loading request based on the reference map data loading hierarchy and the reference map data loading range; in response to receiving the job map data loading request, corresponding job vector data is loaded.

In a sixth aspect, an embodiment of the present disclosure provides an electronic device, including a memory and at least one processor, wherein the memory is configured to store one or more computer instructions, wherein the one or more computer instructions are executed by the at least one processor to implement the above-described method.

In a seventh aspect, embodiments of the present disclosure provide a computer-readable storage medium having stored thereon computer instructions, wherein the computer instructions, when executed by a processor, implement the above-described method.

In an eighth aspect, embodiments of the present disclosure provide a computer program product comprising a computer program/instruction, wherein the computer program/instruction, when executed by a processor, implements the above method.

The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects:

According to the technical scheme, the map data to be loaded are classified and loaded, when a reference map data loading request is received, the corresponding grid tiles are returned according to the reference map data loading request, and when a job map data loading request is received, the corresponding job vector data are loaded according to the job map data loading request. According to the technical scheme, the reference map data is loaded in the form of grid tiles, the operation map data is loaded in the form of operation vector data, and the grid tile loading mode of the reference map data can support the rapid browsing of the reference map data without boundary limitation due to the fact that the grid tile loading speed is high, and the operation vector data loading mode of the operation map data can achieve accurate loading of the operation map data, so that the technical scheme can meet operation requirements of large-range data.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

Other features, objects and advantages of the present disclosure will become more apparent from the following detailed description of non-limiting embodiments, taken in conjunction with the accompanying drawings. In the drawings:

FIG. 1 is a schematic diagram of prior art map data loading;

FIG. 2 illustrates a flow chart of a map data loading method according to an embodiment of the present disclosure;

FIG. 3A shows a tile schematic diagram according to an embodiment of the present disclosure;

FIG. 3B illustrates a tile data storage schematic according to an embodiment of the present disclosure;

fig. 4 illustrates a flowchart of a map data loading method according to another embodiment of the present disclosure;

fig. 5 shows a flowchart of a map data loading method according to still another embodiment of the present disclosure;

fig. 6 shows a block diagram of a map data loading device according to an embodiment of the present disclosure;

FIG. 7 shows a block diagram of a map data editor in accordance with an embodiment of the disclosure;

FIG. 8 shows a block diagram of a map data loading system according to an embodiment of the present disclosure;

FIG. 9 shows a block diagram of an electronic device according to an embodiment of the present disclosure;

fig. 10 is a schematic diagram of a computer system suitable for use in implementing a map data loading method according to an embodiment of the present disclosure.

Detailed Description

Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. In addition, for the sake of clarity, portions irrelevant to description of the exemplary embodiments are omitted in the drawings.

In this disclosure, it should be understood that terms such as "comprises" or "comprising," etc., are intended to indicate the presence of features, numbers, steps, acts, components, portions, or combinations thereof disclosed in this specification, and are not intended to exclude the possibility that one or more other features, numbers, steps, acts, components, portions, or combinations thereof are present or added.

In addition, it should be noted that, without conflict, the embodiments of the present disclosure and features of the embodiments may be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

The user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or fully authorized by each party, and the collection, use and processing of related data is required to comply with the relevant laws and regulations and standards of the relevant country and region, and is provided with corresponding operation entries for the user to select authorization or rejection.

According to the technical scheme provided by the embodiment of the disclosure, classified loading is performed on map data to be loaded, when a reference map data loading request is received, a corresponding grid tile is returned according to the reference map data loading request, and when a job map data loading request is received, corresponding job vector data is loaded according to the job map data loading request. According to the technical scheme, the reference map data is loaded in the form of grid tiles, the operation map data is loaded in the form of operation vector data, and the grid tile loading mode of the reference map data can support the rapid browsing of the reference map data without boundary limitation due to the fact that the grid tile loading speed is high, and the operation vector data loading mode of the operation map data can achieve accurate loading of the operation map data, so that the technical scheme can meet operation requirements of large-range data.

Fig. 2 shows a flowchart of a map data loading method according to an embodiment of the present disclosure, which includes the following steps S201 to S203, as shown in fig. 2:

In step S201, a reference map data loading request is received, wherein the reference map data loading request includes a reference map data loading level and a reference map data loading range, and the reference map data loading level is determined according to a user scaling;

In step S202, determining a corresponding grid tile as response data to the reference map data loading request based on the reference map data loading hierarchy and the reference map data loading range;

In step S203, corresponding job vector data is loaded in response to receiving a job map data loading request including a job map data loading layer and a job map data loading range or target attribute field value.

As mentioned above, with the development of the construction of the national transportation infrastructure, the data form of the traffic regulation is also more abundant, such as the limitation of the urban external vehicle running, the limitation of the truck running in the urban loop, etc., and the planar and line group data which needs to be stored in a large range appear. Unlike conventional map data such as dot-like, single-line-like data, etc., when such data is manufactured, it is necessary to refer to a wide range of map data to determine a specifically modified data object. At present, the loading mode of map data is that firstly, the range of data to be modified is determined, then, only vector data corresponding to the data to be modified and reference data of an expansion range generated based on the range of the data to be modified is loaded, the purpose is to reduce the amount of loaded data, as shown in fig. 1, white parts in fig. 1 are modifiable data, gray parts are only viewable and non-modifiable reference data obtained based on expansion of the modifiable data, but the loading mode of vector data loading is used for both modifiable data and non-modifiable data, the loading requirement of large-range data is difficult to meet, and the loaded map data only can support viewing of reference data in a certain range, and no boundary-limited browsing of the reference data can not be realized. Therefore, there is a need for a map data loading method capable of supporting borderless limit browsing of reference data and accurate loading of working map data at the same time to meet the working requirements of large-scale data.

In view of the above-described drawbacks, in this embodiment, there is provided a map data loading method of classifying and loading map data to be loaded, returning corresponding grid tiles according to a reference map data loading request when the reference map data loading request is received, and loading corresponding job vector data according to the job map data loading request when the job map data loading request is received. According to the technical scheme, the reference map data is loaded in the form of grid tiles, the operation map data is loaded in the form of operation vector data, and the grid tile loading mode of the reference map data can support the rapid browsing of the reference map data without boundary limitation due to the fact that the grid tile loading speed is high, and the operation vector data loading mode of the operation map data can achieve accurate loading of the operation map data, so that the technical scheme can meet operation requirements of large-range data.

In an embodiment of the present disclosure, the map data loading method may be applied to a computer, a computing device, an electronic device, a server, etc. that performs a loading operation on map data, such as a map data processing server capable of providing a map data loading and rendering service.

As mentioned above, the method of the present disclosure is mainly for solving the problem that the loading speed is slow and the borderless limit browsing of the reference data cannot be realized when loading the large-scale map data such as the planar map data and the line group map data. Further, the map data may include parameter map data and job map data, wherein the reference map data refers to map data for providing a user with convenience in browsing, job map data requiring modification or editing may be selected based on a reference thereto, the job map data refers to map data requiring modification or editing based on a reference selection to parameter map data, and the reference map data includes the job map data or a loading range corresponding to the reference map data covers a loading range corresponding to the job map data.

In an embodiment of the present disclosure, the reference map data loading request refers to a request sent by a map data loading requester for loading corresponding reference map data, for example, when a user issues a reference map data loading command by operating a map data editor, the map data editor may generate a corresponding reference map data loading request according to a trigger action of the user, and send the reference map data loading request to the map data processing server.

In an embodiment of the present disclosure, the reference map data loading request may include a reference map data loading level and a reference map data loading range, where the reference map data loading level refers to a level of reference map data corresponding to loading and displaying reference map data, and the reference map data loading level may be determined according to a user scaling, and more specifically, may be determined as a map data scaling obtained by scaling map data on a map data editor by a user through a map scaling tool; the reference map data loading range refers to a range in which reference map data is loaded and displayed, and when a user sends a reference map data loading command by operating a map data editor, the reference map data loading range may be, for example, a current screen range, or a screen range corresponding to a user trigger action, and so on.

In an embodiment of the disclosure, the grid tiles refer to grid format pictures obtained after rendering corresponding tile data, and compared with loading of vector data corresponding to reference map data in the prior art, loading and displaying speed of the grid tiles in a picture form are much faster, so that rapid large-area loading of the reference map data can be realized, and further rapid browsing of the reference map data without boundary limitation is realized. In the above embodiment, the reference map data loading request includes a reference map data loading level and a reference map data loading range, so that tile data corresponding to the reference map data loading level and the reference map data loading range can be determined according to the reference map data loading level and the reference map data loading range, then the obtained tile data is rendered to obtain grid tiles corresponding to the reference map data loading request, and the grid tiles can be returned to the map data editor as response data of the reference map data loading request.

The tile data refers to map data stored and identified by taking tiles as storage and identification units, and conversely, the tiles are storage and identification units of the map data, the number of the tiles corresponding to different map data loading levels is different, and each tile correspondingly stores different map data. The tiles are used as storage and identification units of map data to meet the requirements of users for viewing map data with different detail degrees, for example, users sometimes want to view macroscopic map information such as administrative boundaries and the like, and sometimes want to view microscopic map information such as a specific road, a crossing and the like, so that the map data can be segmented, stored, loaded and displayed according to the level of the map data to meet different viewing requirements of the users. For example, in the highest level where the map information is most abbreviated, only macroscopic information is retained, and a 256×256-pixel picture can be used for representing the map information; at the next level, the information amount increases, and a picture with 512×512 pixels can be used for representing; and so on, the lower the hierarchy the higher the picture pixels, the next hierarchy picture pixels are 4 times the current hierarchy picture pixels. Each picture is split into one or more 256 x 256 pictures, each 256 x 256 picture being called a Tile (Tile), and from above, as shown in fig. 3A, there is only one Tile in the highest level, 4 tiles in the next level, 16 tiles in the further next level, and so on, where each Tile corresponds to storing different map data. Wherein the range coordinates of each tile in each level can be determined by means of coordinate system projection calculations.

When map data corresponding to each tile is stored, firstly, based on a space intersection principle, acquiring physical map data with coordinates such as points, lines, planes and the like in the tile range and intersecting the tile range, and forming a data set { M }, wherein the physical map data in the data set { M } is recorded with physical map data including positions of the points, the lines, the planes and attribute information thereof such as point positions, line positions and plane positions, for example, for point data electronic eyes, electronic eye attribute data such as which road section the electronic eyes belong to and what electronic eyes are used for shooting and the like, and for line data road sections, road section node information, road section associated electronic eyes, road section associated toll stations and the like are recorded. And traversing each data record in the data set { M }, judging whether the data record has map data associated with the data record, if so, storing the entity map data and the corresponding associated map data into tile data of tiles corresponding to the entity map data, and the like, so that the entity map data in a tile range and the map data which may exceed the tile range and are associated with the entity map data in the tile range can be finally obtained, as shown in FIG. 3B.

In an embodiment of the present disclosure, the job map data loading request refers to a request sent by a map data loading requester for loading corresponding job map data, for example, when a user issues a job map data loading command by operating a map data editor, the map data editor may generate a corresponding job map data loading request according to a trigger action of the user, and send the job map data loading request to the map data processing server.

In an embodiment of the present disclosure, the job map data loading request includes at least a job map data loading layer, and in addition, the job map data loading request may further include a job map data loading range or a target attribute field value. The operation map data loading layer refers to a layer where the type of the operation map data to be loaded is located, for example, if the type of the operation map data to be loaded is a road, the operation map data loading layer is a road layer, if the type of the operation map data to be loaded is an electronic eye, the operation map data loading layer is an electronic eye diagram layer, if the type of the operation map data to be loaded is a speed limiting facility and a warning facility, the operation map data loading layer is a road equipment layer, if the type of the operation map data to be loaded is a lane change point, the operation map data loading layer is a lane dot diagram layer, and the like. Wherein, the working map data loading range refers to a range for loading and displaying working map data; the target attribute field value refers to an attribute field value corresponding to the map data of the job to be loaded, and the attribute field value may be, for example, an identification value of the map data. If the user inputs the position coordinate information of the to-be-loaded operation map data through the operation map data editor, the position coordinate information is used as the center to perform the outward expansion of the preset range, for example, the outward expansion is 100 meters, the obtained outward expansion range is used as the operation map data loading range, the operation map data loading request comprises the operation map data loading range in addition to the operation map data loading layer, and at this time, the operation vector data corresponding to the operation map data loading layer and the operation map data loading range can be returned as the response data of the operation map data loading request. If the user inputs the map data layer name and the corresponding attribute field value corresponding to the job map data to be modified or edited through the operation map data editor, the job map data loading request includes the target attribute field value input by the user in addition to the job map data loading layer corresponding to the job map data loading layer name input by the user, at this time, the job vector data corresponding to the job map data loading layer and the target attribute field value may be returned as the response data of the job map data loading request, for example, if the job map data loading layer name input by the user is "limited data", the input target attribute field value is "limited data ID is 123456, all the job vector data corresponding to the lower limited data ID of the" limited data "layer in the preset map database is returned as the response data of the job map data loading request, where the preset map database stores data tables corresponding to different map data layers, and the data tables corresponding to each map data layer store multiple pieces of data representing one attribute information, such as the attribute information representing the attribute information, and the like.

In an embodiment of the present disclosure, the map data loading request may further include a map data loading request interface identifier, so as to identify a type of the map data loading request, that is, identify whether the map data loading request refers to a map data loading request or a job map data loading request, or identify a type of map data to be loaded, and for different types of map data loading requests, the map data processing server may obtain different types of map data to be loaded through different interfaces according to the map data loading request interface identifier.

In the above embodiment, when loading map data, when receiving a reference map data loading request including a reference map data loading level and a reference map data loading range, a map data processing server determines grid tiles corresponding to the reference map data loading level and the reference map data loading range according to the reference map data loading level and the reference map data loading range included in the reference map data loading request, and returns the obtained grid tiles as response data of the reference map data loading request; when a job map data loading request including a job map data loading layer and a job map data loading range or a target attribute field value is received, job vector data corresponding to the job map data loading layer and the job map data loading range or the target attribute field value is determined according to the job map data loading layer and the job map data loading range or the target attribute field value included in the job map data loading request, and the obtained job vector data is returned as response data of the job map data loading request. Therefore, the reference map data and the operation map data can be respectively loaded according to the corresponding map data loading requests, the grid tile loading mode corresponding to the reference map data can support the quick browsing of the reference map data without boundary limitation, and the operation vector data loading mode corresponding to the operation map data can realize the accurate loading of the operation map data, so that the operation requirements of large-scale data are met.

In an embodiment of the present disclosure, in the step S202, the step of determining the corresponding grid tile based on the reference map data loading level and the reference map data loading range may include the steps of:

Determining a target tile corresponding to the reference map data loading range on the reference map data loading level based on the reference map data loading level and the reference map data loading range;

based on tile data corresponding to the target tile, a corresponding grid tile is determined.

As mentioned above, each tile is correspondingly stored with corresponding map data, so in this embodiment, when determining corresponding raster data based on the reference map data loading level and reference map data loading range, a target tile corresponding to the reference map data loading range on the reference map data loading level is first determined based on the reference map data loading level and reference map data loading range, and in an embodiment of the present disclosure, tile coordinates corresponding to the reference map data loading range on the reference map data loading level may be first determined based on the reference map data loading level and reference map data loading range; as mentioned above, each tile corresponds to a coordinate range, so, according to the determined tile coordinates corresponding to the reference map data loading range and the coordinate range corresponding to each tile, the target tile corresponding to the reference map data loading range can be obtained, wherein if only a part of one tile corresponds to the tile coordinates, not a complete tile, the complete tile needs to be determined as the target tile; and finally, determining to obtain the corresponding grid tile based on the tile data corresponding to the target tile.

Further, the step of determining a corresponding grid tile based on tile data corresponding to the target tile may include the steps of:

Determining tile data corresponding to the target tile;

rendering the tile data to generate a corresponding grid tile.

In this embodiment, after determining the target tile corresponding to the loading range of the reference map data, tile data corresponding to the target tile may be acquired, and then the tile data may be rendered, so as to obtain a corresponding grid tile available for display.

In an embodiment of the disclosure, the step S203, that is, the step of loading the corresponding job vector data in response to receiving the job map data loading request, may include the steps of:

If the job map data loading request comprises a job map data loading range, determining and loading job vector data corresponding to the job map data loading layer and the job map data loading range;

and if the job map data loading request comprises a target attribute field value, determining and loading the job vector data corresponding to the job map data loading layer and the target attribute field value.

As mentioned above, the job map data loading request may include a job map data loading range or a target attribute field value in addition to the job map data loading layer, and in this embodiment, if the job map data loading request includes a job map data loading layer and a job map data loading range, first determining job vector data corresponding to the job map data loading layer and the job map data loading range, and then loading the job vector data; if the job map data loading request includes a job map data loading layer and a target attribute field value, job vector data corresponding to the job map data loading layer and the target attribute field value is first determined, and then the job vector data is loaded.

Fig. 4 shows a flowchart of a map data loading method according to another embodiment of the present disclosure, which includes the following steps S401 to S404, as shown in fig. 4:

in step S401, in response to detecting the reference map data loading trigger action, a reference map data loading request is generated according to the reference map data loading trigger action and sent to a map data processing server, where the reference map data loading request includes: a reference map data loading level, a reference map data loading range, the reference map data loading level determined according to a user scale;

In step S402, a grid tile corresponding to the reference map data loading request is received and displayed;

In step S403, in response to detecting the job map data loading trigger action, a job map data loading request is generated according to the job map data loading trigger action and sent to a map data processing server, where the job map data loading request includes: the job map data load layer, the job map data load range or the target attribute field value;

In step S404, job vector data corresponding to the job map data loading request is received, and the job vector data is displayed on the grid tile.

In view of the above-mentioned drawbacks, in this embodiment, a map data loading method is provided, which performs classified loading and presentation of map data to be loaded, generates a reference map data loading request according to a reference map data loading trigger action in response to detection of the reference map data loading trigger action, and presents grid tiles returned by a server when the grid tiles are received; and responding to the detection of the operation map data loading triggering action, generating an operation map data loading request according to the operation map data loading triggering action, and displaying the operation vector data on the grid tiles when receiving the operation vector data returned by the server. According to the technical scheme, the reference map data is loaded in the form of grid tiles, the operation map data is loaded in the form of operation vector data, and the grid tile loading mode of the reference map data can support the rapid browsing of the reference map data without boundary limitation due to the fact that the grid tile loading speed is high, and the operation vector data loading mode of the operation map data can achieve accurate loading of the operation map data, so that the technical scheme can meet operation requirements of large-range data.

In an embodiment of the present disclosure, the map data loading method may be applied to a computer, a computing device, an electronic device, a server, etc. that initiates a loading request for map data, such as a map data editor.

In an embodiment of the present disclosure, the map data loading trigger action refers to an action for triggering the loading of map data generated by a user operating the map data editor. The map data loading trigger action may be a plurality of different actions, and different map data loading trigger actions correspond to different map data loading requests. For example, the map data loading triggering action may be a task of opening map data processing, where the map data processing task refers to a task for processing map data, the map data processing task may be triggered and generated by receiving a data source, for example, a job content may be preset according to an actual map data processing requirement, for example, disabling information such as modifying or editing a limit, and then a job keyword may be generated according to the job content, for example, the limit, etc., when a new data source is received, the new data source is parsed according to a different data source type by adopting a corresponding data parsing manner, for example, if the data source is an actual data source, the method can analyze the actual data source by means of image analysis, character recognition and the like based on the operation keywords, analyze the information data source by means of text analysis and the like based on the operation keywords to determine whether the data needing operation exists in the data source or not if so, generate corresponding map data processing tasks, dragging screens and the like according to the data needing operation, and when the map data loading touch engine is used for opening the map data processing tasks, consider that the map data processing of a user is intended to be viewing the map data under the current map data display level at the moment, loading map data associated with the map data processing task for reference by a user, so that the action may be considered a reference map data loading trigger action; the map data loading trigger action may also be a drag screen, a circling screen, inputting a position coordinate where the map data to be modified or edited is located, inputting an attribute field value of the map data to be modified or edited, or the like. When the map data loading trigger action is actions such as dragging a screen and circling a screen, the map data processing intention of the user can be considered to be viewing of map data in a screen range related to the dragging and circling actions under the current map data display level, and the map data in the screen range related to the dragging and circling actions is loaded for reference by the user, so that the action can be considered as a reference map data loading trigger action; when the map data loading trigger is used for inputting actions such as position coordinates of map data to be modified or edited, the map data processing intention of a user is considered to be that the map data corresponding to the input position coordinates is modified or edited in a map data layer corresponding to the actions, and the map data corresponding to the actions is loaded in the map data layer corresponding to the actions, so that the actions can be considered as operation map data loading trigger actions; when the map data loading trigger is an action such as inputting an attribute field value of map data to be modified or edited, it is considered that the user's map data processing intention is to modify or edit the map data corresponding to the input attribute field value in the map data layer corresponding to the action, and the map data corresponding to the action is loaded in the map data layer corresponding to the action, and thus the action can also be considered as a job map data loading trigger action.

In the above embodiment, after detecting the reference map data loading trigger action, the map data editor may generate a reference map data loading request according to the specific action content of the reference map data loading trigger action, and send the reference map data loading request to the map data processing server, so that the map data processing server returns a grid tile capable of being displayed according to the reference map data loading request, and displays the grid tile after receiving the returned grid tile; after the operation map data loading triggering action is detected, an operation map data loading request can be generated according to the specific action content of the operation map data loading triggering action and sent to a map data processing server, so that the map data processing server returns operation vector data capable of being displayed according to the operation map data loading request, and the operation vector data is displayed on the grid tiles after the returned operation vector data is received. Therefore, the reference map data can be loaded in a grid tile mode, the operation map data can be loaded in a operation vector data mode, and the grid tile loading mode of the reference map data can support the rapid browsing of the reference map data without boundary limitation due to the fact that the grid tile loading speed is high, and the operation vector data loading mode of the operation map data can achieve accurate loading of the operation map data, so that the technical scheme can meet operation requirements of large-range data.

In an embodiment of the present disclosure, the reference map data loading trigger actions are different, and the corresponding generated reference map data loading levels and reference map data loading ranges may also be different, for example, if the detected reference map data loading trigger is taken as the first reference map data loading trigger action such as opening a map data processing task, it may be considered that the user's map data processing is intended to view map data under the current map data presentation level, and map data related to the map data processing task for reference by the user is loaded, so that the current map data presentation level determined by the user scaling operation may be determined as the reference map data loading level, the current screen range may be determined as the reference map data loading range, and then a reference map data loading request may be generated based on the determined reference map data loading levels and reference map data loading ranges and sent to the map data processing server.

For another example, if the detected reference map data loading trigger action is a second reference map data loading trigger action such as a drag screen, a circling screen, etc., it may be considered that at this time, the map data processing of the user intends to view map data in a screen range related to the drag and circling actions under the current map data display level, and map data for reference by the user in the screen range related to the drag and circling actions is loaded, so that the current map data display level determined by the user zoom operation may be determined as a reference map data loading level, the screen range corresponding to the second reference map data loading trigger action may be determined as a reference map data loading range, and then a reference map data loading request may be generated based on the determined reference map data loading level and reference map data loading range and sent to the map data processing server.

That is, in an embodiment of the present disclosure, the step S401, that is, the step of generating a reference map data loading request according to the reference map data loading trigger action and transmitting the reference map data loading request to the map data processing server in response to the detection of the reference map data loading trigger action, may include the steps of:

In response to detecting a reference map data loading trigger action, determining a current map data presentation level determined based on a user zoom operation as a reference map data loading level, and determining a preset screen range as a reference map data loading range, wherein the preset screen range is a current screen range or a screen range corresponding to the reference map data loading trigger action;

And generating a reference map data loading request based on the reference map data loading hierarchy and the reference map data loading range and sending the reference map data loading request to a map data processing server.

In an embodiment of the disclosure, the step S403, that is, the step of generating the job map data loading request according to the job map data loading trigger action and sending the job map data loading request to the map data processing server in response to detecting the job map data loading trigger action, may include the following steps:

In response to detecting a first operation map data loading trigger action, determining a map data layer corresponding to the first operation map data loading trigger action as an operation map data loading layer, determining an extended range of a preset range obtained by taking input position coordinate information corresponding to the first operation map data loading trigger action as a preset range, generating an operation map data loading request based on the operation map data loading layer and the operation map data loading range, and sending the operation map data loading request to a map data processing server;

In response to detecting a second job map data loading trigger action, determining an input map data layer corresponding to the second job map data loading trigger action as a job map data loading layer, generating a job map data loading request based on the job map data loading layer and input target attribute field values corresponding to the second job map data loading trigger action, and sending the job map data loading request to a map data processing server.

In this embodiment, when a first operation map data loading trigger operation such as a position coordinate in which the map data to be modified or edited is input is detected, it is considered that the user's map data processing intention is to modify or edit the map data corresponding to the position coordinate among map data layers corresponding to the first operation map data loading trigger operation, and the map data for the user's operation corresponding to the position coordinate is loaded in the map data layers corresponding to the first operation map data loading trigger operation, and therefore, the map data layers corresponding to the first operation map data loading trigger operation can be specified as operation map data loading layers, and an extension range of a preset range obtained centering on the input position coordinate information corresponding to the first operation map data loading trigger operation can be specified as operation map data loading range.

In this embodiment, if a second job map data loading trigger operation such as an attribute field value of map data to be modified or edited is detected, it is considered that the user intends to modify or edit the map data corresponding to the attribute field value of the map data corresponding to the second job map data loading trigger operation at this time, and the map data for the user's job corresponding to the attribute field value of the map data corresponding to the second job map data loading trigger operation is loaded, and therefore, the map data layer corresponding to the second job map data loading trigger operation may be determined as a job map data loading layer, and then a job map data loading request may be generated based on the determined job map data loading layer and the input target attribute field value corresponding to the second job map data loading trigger operation and transmitted to the map data processing server.

The technical terms and technical features related to the embodiment shown in fig. 4 and related to the embodiment shown in fig. 2 to 3 are the same as or similar to those mentioned in the embodiment shown in fig. 2 to 3, and the explanation and explanation of the technical terms and technical features related to the embodiment shown in fig. 4 and related to the embodiment will be referred to the explanation of the explanation shown in fig. 2 to 3 and related to the embodiment, and will not be repeated here.

Fig. 5 shows a flowchart of a map data loading method according to still another embodiment of the present disclosure, which includes the following steps S501 to S503, as shown in fig. 5:

In step S501, in response to detecting a reference map data loading trigger action, the map data editor generates a reference map data loading request according to the reference map data loading trigger action and sends the reference map data loading request to a map data processing server, where the reference map data loading request includes: a reference map data loading level, a reference map data loading range, the reference map data loading level determined according to a user scale; in response to detecting a job map data loading trigger action, generating a job map data loading request according to the job map data loading trigger action, and sending the job map data loading request to a map data processing server, wherein the job map data loading request comprises: the job map data load layer, the job map data load range or the target attribute field value;

In step S502, the map data processing server receives a reference map data loading request, determines a corresponding grid tile as response data of the reference map data loading request based on the reference map data loading hierarchy and the reference map data loading range; loading corresponding job vector data in response to receiving a job map data loading request;

in step S503, the map data editor receives and displays a grid tile corresponding to the reference map data loading request; and receiving the operation vector data corresponding to the operation map data loading request, and displaying the operation vector data on the grid tiles.

In view of the above-mentioned drawbacks, in this embodiment, a map data loading method is provided in which a map data editor correspondingly generates a reference map data loading request or a job map data loading request based on different map data loading trigger actions, a map data processing server returns a corresponding grid tile according to the received reference map data loading request, loads corresponding job vector data according to the received job map data loading request, and then the map data editor displays the received grid tile and displays the received job vector data on top of the grid tile. According to the technical scheme, the reference map data is loaded in the form of grid tiles, the operation map data is loaded in the form of operation vector data, and the grid tile loading mode of the reference map data can support the rapid browsing of the reference map data without boundary limitation due to the fact that the grid tile loading speed is high, and the operation vector data loading mode of the operation map data can achieve accurate loading of the operation map data, so that the technical scheme can meet operation requirements of large-range data.

In an embodiment of the present disclosure, the map data loading method may be applied to a computer, a computing device, an electronic device, a server, etc. that performs loading and presentation of map data, such as a map data loading system including a map data processing server and a map data editor.

The technical terms and technical features related to the embodiment shown in fig. 5 and related to the embodiment shown in fig. 2 to 4 are the same as or similar to those mentioned in the embodiment shown in fig. 2 to 4, and the explanation and explanation of the technical terms and technical features related to the embodiment shown in fig. 5 and related to the embodiment will be referred to the explanation of the explanation shown in fig. 2 to 4 and related to the embodiment, and will not be repeated here.

The following are device embodiments of the present disclosure that may be used to perform method embodiments of the present disclosure.

Fig. 6 shows a block diagram of a map data loading apparatus according to an embodiment of the present disclosure, which may be implemented as part or all of an electronic device by software, hardware, or a combination of both. As shown in fig. 6, the map data loading device includes:

A receiving module 601 configured to receive a reference map data loading request, wherein the reference map data loading request includes a reference map data loading level, a reference map data loading range, the reference map data loading level determined according to a user scale;

a first loading module 602 configured to determine a corresponding grid tile as response data to the reference map data loading request based on the reference map data loading hierarchy and the reference map data loading range;

The second loading module 603 is configured to load corresponding job vector data in response to receiving a job map data loading request, wherein the job map data loading request includes a job map data loading layer, and a job map data loading range or a target attribute field value.

In view of the above-described drawbacks, in this embodiment, there is provided a map data loading apparatus that sorts and loads map data to be loaded, returns a corresponding grid tile according to a reference map data loading request when the reference map data loading request is received, and loads corresponding job vector data according to the job map data loading request when the job map data loading request is received. According to the technical scheme, the reference map data is loaded in the form of grid tiles, the operation map data is loaded in the form of operation vector data, and the grid tile loading mode of the reference map data can support the rapid browsing of the reference map data without boundary limitation due to the fact that the grid tile loading speed is high, and the operation vector data loading mode of the operation map data can achieve accurate loading of the operation map data, so that the technical scheme can meet operation requirements of large-range data.

In an embodiment of the present disclosure, the map data loading apparatus may be implemented as a computer, a computing device, an electronic device, a server, etc. that performs loading operations on map data, such as a map data processing server capable of providing map data loading and rendering services.

As mentioned above, the present disclosure is mainly designed to solve the problem that the loading speed is slow and the borderless limit browsing of the reference data cannot be realized when loading the large-scale map data such as the planar map data and the line set map data. Further, the map data may include parameter map data and job map data, wherein the reference map data refers to map data for providing a user with convenience in browsing, job map data requiring modification or editing may be selected based on a reference thereto, the job map data refers to map data requiring modification or editing based on a reference selection to parameter map data, and the reference map data includes the job map data or a loading range corresponding to the reference map data covers a loading range corresponding to the job map data.

In an embodiment of the present disclosure, in the first loading module, determining the portion of the corresponding grid tile based on the reference map data loading level and the reference map data loading range may be configured to:

Further, the determining, based on tile data corresponding to the target tile, a portion of a corresponding grid tile may be configured to:

Determining tile data corresponding to the target tile;

rendering the tile data to generate a corresponding grid tile.

In an embodiment of the present disclosure, in response to receiving a job map data loading request, the second loading module loads a portion of the corresponding job vector data, which may be configured to:

Fig. 7 shows a block diagram of a map data editor that may be implemented as part or all of an electronic device by software, hardware, or a combination of both, according to an embodiment of the disclosure. As shown in fig. 7, the map data editor includes:

A first sending module 701 configured to generate a reference map data loading request according to a reference map data loading trigger action in response to detecting the reference map data loading trigger action, and send the reference map data loading request to a map data processing server, wherein the reference map data loading request includes: a reference map data loading level, a reference map data loading range, the reference map data loading level determined according to a user scale;

a first presentation module 702 configured to receive a grid tile corresponding to the reference map data loading request and to present;

A second sending module 703 configured to generate a job map data loading request according to a job map data loading trigger action in response to detecting the job map data loading trigger action, and send the job map data loading request to a map data processing server, wherein the job map data loading request includes: the job map data load layer, the job map data load range or the target attribute field value;

a second presentation module 704 configured to receive job vector data corresponding to the job map data loading request and present the job vector data on top of the grid tiles.

In view of the above-described drawbacks, in this embodiment, there is provided a map data loading apparatus that performs classified loading and presentation of map data to be loaded, generates a reference map data loading request according to a reference map data loading trigger action in response to detection of the reference map data loading trigger action, and presents grid tiles returned by a server when the grid tiles are received; and responding to the detection of the operation map data loading triggering action, generating an operation map data loading request according to the operation map data loading triggering action, and displaying the operation vector data on the grid tiles when receiving the operation vector data returned by the server. According to the technical scheme, the reference map data is loaded in the form of grid tiles, the operation map data is loaded in the form of operation vector data, and the grid tile loading mode of the reference map data can support the rapid browsing of the reference map data without boundary limitation due to the fact that the grid tile loading speed is high, and the operation vector data loading mode of the operation map data can achieve accurate loading of the operation map data, so that the technical scheme can meet operation requirements of large-range data.

In an embodiment of the disclosure, the map data loading apparatus may be implemented as a computer, computing device, electronic device, server, etc. that initiates a loading request for map data, such as a map data editor.

That is, in an embodiment of the present disclosure, in the first transmitting module, in response to detecting a reference map data loading trigger action, a portion that generates a reference map data loading request according to the reference map data loading trigger action and transmits the reference map data loading request to the map data processing server may be configured to:

In an embodiment of the present disclosure, in the second sending module, in response to detecting a job map data loading trigger action, a portion that generates a job map data loading request according to the job map data loading trigger action and sends the job map data loading request to a map data processing server may be configured to:

The technical terms and features related to the embodiment shown in fig. 7 are the same as or similar to those mentioned in the embodiment shown in fig. 6, and the explanation and description of the technical terms and features related to the embodiment shown in fig. 7 may refer to the explanation of the embodiment shown in fig. 6 and described herein, which is not repeated.

Fig. 8 shows a block diagram of a map data loading system according to an embodiment of the present disclosure, which may be implemented as part or all of an electronic device by software, hardware, or a combination of both. As shown in fig. 8, the map data loading system includes:

A map data editor 801 configured to generate a reference map data loading request according to a reference map data loading trigger action in response to detecting the reference map data loading trigger action, and send the reference map data loading request to a map data processing server, wherein the reference map data loading request includes: a reference map data loading level, a reference map data loading range, the reference map data loading level determined according to a user scale; receiving a grid tile corresponding to the reference map data loading request and displaying the grid tile; in response to detecting a job map data loading trigger action, generating a job map data loading request according to the job map data loading trigger action, and sending the job map data loading request to a map data processing server, wherein the job map data loading request comprises: the job map data load layer, the job map data load range or the target attribute field value; receiving the operation vector data corresponding to the operation map data loading request, and displaying the operation vector data on the grid tiles;

A map data processing server 802 configured to receive a reference map data loading request, determine a corresponding grid tile as response data to the reference map data loading request based on the reference map data loading hierarchy and the reference map data loading range; in response to receiving the job map data loading request, corresponding job vector data is loaded.

In view of the above-described drawbacks, in this embodiment, a map data loading system is provided in which a map data editor generates a reference map data loading request or a job map data loading request in response to a different map data loading trigger action, a map data processing server returns a corresponding grid tile according to the received reference map data loading request, loads corresponding job vector data according to the received job map data loading request, and then the map data editor displays the received grid tile again and displays the received job vector data on top of the grid tile. According to the technical scheme, the reference map data is loaded in the form of grid tiles, the operation map data is loaded in the form of operation vector data, and the grid tile loading mode of the reference map data can support the rapid browsing of the reference map data without boundary limitation due to the fact that the grid tile loading speed is high, and the operation vector data loading mode of the operation map data can achieve accurate loading of the operation map data, so that the technical scheme can meet operation requirements of large-range data.

In one embodiment of the present disclosure, the map data loading system may be implemented as a computer, computing device, electronic device, server, etc. that performs loading and presentation of map data, such as a map data loading system that includes a map data processing server and a map data editor.

The technical terms and technical features related to the embodiment shown in fig. 8 and related to the embodiment shown in fig. 6 to 7 are the same as or similar to those mentioned in the embodiment shown in fig. 6 to 7, and the explanation and explanation of the technical terms and technical features related to the embodiment shown in fig. 8 and related to the embodiment will be referred to the explanation of the explanation shown in fig. 6 to 7 and related to the embodiment, and will not be repeated here.

The present disclosure also discloses an electronic device, fig. 9 shows a block diagram of the electronic device according to an embodiment of the present disclosure, and as shown in fig. 9, the electronic device 900 includes a memory 901 and a processor 902; wherein,

The memory 901 is configured to store one or more computer instructions that are executed by the processor 902 to perform the above-described method steps.

As shown in fig. 10, the computer system 1000 includes a processing unit 1001 that can execute various processes in the above-described embodiments in accordance with a program stored in a Read Only Memory (ROM) 1002 or a program loaded from a storage section 1008 into a Random Access Memory (RAM) 1003. In the RAM1003, various programs and data required for the operation of the computer system 1000 are also stored. The processing unit 1001, the ROM1002, and the RAM1003 are connected to each other by a bus 1004. An input/output (I/O) interface 1005 is also connected to bus 1004.

The following components are connected to the I/O interface 1005: an input section 1006 including a keyboard, a mouse, and the like; an output portion 1007 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), etc., and a speaker, etc.; a storage portion 1008 including a hard disk or the like; and a communication section 1009 including a network interface card such as a LAN card, a modem, or the like. The communication section 1009 performs communication processing via a network such as the internet. The drive 1010 is also connected to the I/O interface 1005 as needed. A removable medium 1011, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like, is installed as needed in the drive 1010, so that a computer program read out therefrom is installed as needed in the storage section 1008. The processing unit 1001 may be implemented as a processing unit CPU, GPU, TPU, FPGA, NPU or the like.

In particular, according to embodiments of the present disclosure, the methods described above may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a medium readable thereby, the computer program comprising program code for performing the method. In such an embodiment, the computer program can be downloaded and installed from a network via the communication portion 1009, and/or installed from the removable medium 1011.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units or modules described in the embodiments of the present disclosure may be implemented by software, or may be implemented by hardware. The units or modules described may also be provided in a processor, the names of which in some cases do not constitute a limitation of the unit or module itself.

As another aspect, the present disclosure also provides a computer-readable storage medium, which may be a computer-readable storage medium included in the apparatus described in the above embodiment; or may be a computer-readable storage medium, alone, that is not assembled into a device. The computer-readable storage medium stores one or more programs for use by one or more processors in performing the methods described in the present disclosure.

The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention referred to in this disclosure is not limited to the specific combination of features described above, but encompasses other embodiments in which any combination of features described above or their equivalents is contemplated without departing from the inventive concepts described. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).

Claims

1. A map data loading method, adapted to a map data processing server, comprising:

2. The method of claim 1, wherein the determining a corresponding grid tile based on the reference map data loading level and the reference map data loading range comprises:

3. The method of claim 2, wherein the determining a corresponding grid tile based on tile data corresponding to the target tile comprises:

Determining tile data corresponding to the target tile;

rendering the tile data to generate a corresponding grid tile.

4. The method of claim 1, wherein the loading the corresponding job vector data in response to receiving a job map data loading request comprises:

5. A map data loading method, adapted for a map data editor, the method comprising:

6. The method of claim 5, wherein generating a reference map data loading request according to a reference map data loading trigger action in response to detecting the reference map data loading trigger action, and sending to a map data processing server, comprises:

7. The method of claim 5 or 6, wherein generating a job map data loading request according to a job map data loading trigger action in response to detecting the job map data loading trigger action, and sending to a map data processing server, comprises:

8. A map data loading method, adapted to a map data loading system including a map data processing server and a map data editor, the method comprising:

9. A map data editor, the editor comprising:

10. A map data loading system, the system comprising:

11. An electronic device comprising a memory and at least one processor; wherein the memory is for storing one or more computer instructions, wherein the one or more computer instructions are executed by the at least one processor to implement the method of any of claims 1-8.

12. A computer readable storage medium having stored thereon computer instructions, wherein the computer instructions, when executed by a processor, implement the method of any of claims 1-8.

13. A computer program product comprising computer programs/instructions which, when executed by a processor, implement the method of any of claims 1-8.