CN117131147A - Geographic entity data production method and device, electronic equipment and storage medium - Google Patents
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Abstract
The embodiment of the application provides a method and a device for producing geographic entity data, electronic equipment and a storage medium, and relates to the technical field of mapping. The method comprises the steps of obtaining a standard geographic information data set by carrying out standardized preprocessing on the geographic information data set; configuring a mapping relation table of a standard geographic information data set and a geographic entity; converting the geographic information data set and the geographic entity according to the mapping relation table to obtain a converted geographic entity data set; carrying out semantic processing on entity attributes and entity relations of the converted geographic entity data set to obtain a target geographic entity data set; if the target geographic entity data set meets the preset quality standard, generating geographic entity data, and by establishing the mapping relation between the geographic information data set and the geographic entity, the basic geographic information data can be quickly and accurately converted into the geographic entity without repeated mapping, so that the generation cost is reduced, and the generation efficiency of the geographic entity is improved.
Description
Technical Field
The present application relates to the field of mapping, and in particular, to a method and apparatus for producing geographic entity data, an electronic device, and a storage medium.
Background
With the rapid development of mapping technology, novel basic mapping aims at constructing a basic geographic entity library by taking geographic entities as view angles and objects.
At present, the geographical entity data is produced by manually or automatically re-acquiring the two-dimensional primitive data, but the mapping is usually repeated by the method. In addition, a large amount of editing work is needed to be manually participated in the semanteme process, so that the problems of high cost and low efficiency in the production process of the geographic entity data are caused.
Disclosure of Invention
In order to solve the technical problems, the embodiment of the application provides a method and a device for producing geographic entity data, electronic equipment and a storage medium mobile terminal.
In a first aspect, an embodiment of the present application provides a method for producing geographic entity data, where the method includes:
obtaining a geographic information data set and a geographic entity, and carrying out standardized preprocessing on the geographic information data set to obtain a standard geographic information data set;
configuring a mapping relation table of the standard geographic information data set;
converting the geographic information data set according to the mapping relation table to obtain a converted geographic entity data set;
performing semantic processing on the entity attribute and the entity relation of the converted geographic entity data set to obtain a target geographic entity data set;
judging whether the target geographic entity data set meets the preset quality standard, and if the target geographic entity data set meets the preset quality standard, generating geographic entity data.
According to a specific embodiment of the disclosure, the step of performing standardized preprocessing on the geographic information data set to obtain a standard geographic information data set includes:
converting the source data with different formats in the geographic information data set into a preset format, converting the source data with different coordinate systems in the geographic information data set into a preset coordinate system, and performing picture frame edge processing on the geographic information data set to obtain a standard geographic information data set.
According to a specific embodiment of the disclosure, before the step of configuring the mapping relationship table of the standard geographic information dataset, the method includes:
judging whether the standard geographic information data set meets a preset data quality standard or not;
if the standard geographic information data set does not meet the preset data quality standard, repeating the step of carrying out standardized pretreatment on the geographic information data set;
and if the standard geographic information data set meets the preset data quality standard, configuring a mapping relation table of the standard geographic information data set.
According to a specific embodiment of the disclosure, the step of configuring the mapping relationship table of the standard geographic information dataset includes:
and configuring a mapping relation table of the geographic information data set according to the mapping relation of the geographic information data set.
According to a specific embodiment of the disclosure, the step of converting the geographic information dataset according to the mapping relation table to obtain a converted geographic entity dataset includes:
judging whether the feature element data in the geographic information data set has a mapping relation and whether the mapped primitive and the mapped basic attribute need to be processed;
if the feature element data has a mapping relation and the mapped primitive and basic attribute do not need to be processed, the feature element data is directly converted into a target geographic entity data set;
if the feature element data has a mapping relation and the mapped primitive and basic attribute need to be processed, editing the feature element data;
and if the ground feature element data does not have the mapping relation, reserving the ground feature element data.
According to a specific embodiment of the disclosure, the step of semantically processing the entity attribute and the entity relationship of the converted geographic entity data set to obtain the target geographic entity data set includes:
extracting entity attributes and entity relations of the converted geographic entity data set;
and semantically identifying the entity attributes and the entity relations to obtain target geographic entity data.
According to one embodiment of the disclosure, the step of determining whether the target geographic entity data set meets a preset quality standard, and if the target geographic entity data set meets the preset quality standard, generating geographic entity data includes:
and if the target geographic entity data set does not meet the preset quality standard, repeating the step of converting the geographic information data set according to the mapping relation table.
In a second aspect, an embodiment of the present application provides an apparatus for producing geographic entity data, where the apparatus includes:
the acquisition module is used for acquiring a geographic information data set and a geographic entity, and carrying out standardized pretreatment on the geographic information data set to acquire a standard geographic information data set;
the configuration module is used for configuring a mapping relation table of the standard geographic information data set;
the conversion module is used for converting the geographic information data set according to the mapping relation table to obtain a converted geographic entity data set;
the semantic module is used for semantically processing the entity attribute and the entity relation of the converted geographic entity data set to obtain a target geographic entity data set;
the judging module is used for judging whether the target geographic entity data set meets the preset quality standard or not, and generating geographic entity data if the target geographic entity data set meets the preset quality standard.
In a third aspect, an embodiment of the present application provides an electronic device, including a memory and a processor, where the memory is configured to store a computer program, and the computer program when executed by the processor performs the method for producing the geographic entity data provided in the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium storing a computer program which, when run on a processor, performs the method of producing the geographical entity data provided in the first aspect.
According to the method for producing the geographic entity data, the geographic information data set and the geographic entity are obtained, and the geographic information data set is subjected to standardized preprocessing to obtain the standard geographic information data set; configuring a mapping relation table of the standard geographic information data set; converting the geographic information data set according to the mapping relation table to obtain a converted geographic entity data set; performing semantic processing on the entity attribute and the entity relation of the converted geographic entity data set to obtain a target geographic entity data set; judging whether the target geographic entity data set meets the preset quality standard, if the target geographic entity data set meets the preset quality standard, generating geographic entity data, and quickly and accurately converting basic geographic information data into geographic entities by establishing a mapping relation between the geographic information data set and the geographic entities, so that repeated mapping is not caused, the generation cost is reduced, and the generation efficiency of the geographic entities is improved.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings that are required for the embodiments will be briefly described, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope of the present application. Like elements are numbered alike in the various figures.
FIG. 1 shows a schematic flow chart of a method for producing geographic entity data according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of a geographic entity data production device according to an embodiment of the present application;
fig. 3 shows a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments.
The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
The terms "comprises," "comprising," "including," or any other variation thereof, are intended to cover a specific feature, number, step, operation, element, component, or combination of the foregoing, which may be used in various embodiments of the present application, and are not intended to first exclude the presence of or increase the likelihood of one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
Furthermore, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the application belong. The terms (such as those defined in commonly used dictionaries) will be interpreted as having a meaning that is the same as the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in connection with the various embodiments of the application.
Example 1
The embodiment of the disclosure provides a method for producing geographic entity data.
Specifically, referring to fig. 1, the method includes:
step S101, a geographic information data set and a geographic entity are obtained, and the geographic information data set is subjected to standardized preprocessing to obtain a standard geographic information data set.
Specifically, the geographic information data set is a basic geographic unit which has universality and sharing requirements and is used for uniform spatial positioning and spatial analysis, and mainly comprises elements such as land features, water systems and vegetation in natural geographic information, resident places, traffic, special features, place names and the like in social geographic information.
The step of carrying out standardized preprocessing on the geographic information data set to obtain a standard geographic information data set comprises the following steps:
converting the source data with different formats in the geographic information data set into a preset format, converting the source data with different coordinate systems in the geographic information data set into a preset coordinate system, and performing picture frame edge processing on the geographic information data set to obtain a standard geographic information data set.
In the specific implementation, under the condition that conversion of the geographic information data set is ensured to be lossless, source data in different formats are converted into a unified preset standard format, and the preset standard format comprises a format commonly used in conversion. Likewise, source data in different coordinate systems are converted to a preset coordinate system, which includes a uniform coordinate system. And (3) carrying out picture edge connection processing on the geographic information data sets stored or managed in the form of frames such as rectangles, trapezoids and administrative regions, and connecting and merging discrete lines and surface elements representing incomplete features at the picture boundaries so as to ensure the integrity of the geographic information data sets.
Step S102, configuring a mapping relation table of the standard geographic information data set.
Before the step of configuring the mapping relation table of the standard geographic information data set, the method comprises the following steps:
judging whether the standard geographic information data set meets a preset data quality standard or not;
if the standard geographic information data set does not meet the preset data quality standard, repeating the step of carrying out standardized pretreatment on the geographic information data set;
and if the standard geographic information data set meets the preset data quality standard, configuring a mapping relation table of the standard geographic information data set.
Specifically, after the geographic information data set is subjected to standardized preprocessing, data quality inspection needs to be performed on the geographic information data set. The quality inspection comprises graphic coding quality inspection, topology quality inspection and attribute quality inspection. Accordingly, each type of quality inspection has a corresponding data quality standard.
The step of configuring the mapping relation table of the standard geographic information data set comprises the following steps:
and configuring a mapping relation table of the geographic information data set according to the mapping relation of the geographic information data set.
Specifically, the mapping table can be realized in the form of an excel table, and the mapping relation table in the form of the excel table is convenient to freely configure according to actual requirements. The data formats of the geographic information data sets may be different, but the element standards of the data are the same, so that the mapping relation table of the geographic information data sets can be configured according to the mapping relation of the geographic information data sets.
And step S103, converting the geographic information data set according to the mapping relation table to obtain a converted geographic entity data set.
The step of converting the geographic information data set according to the mapping relation table to obtain a converted geographic entity data set comprises the following steps:
judging whether the feature element data in the geographic information data set has a mapping relation and whether the mapped primitive and the mapped basic attribute need to be processed;
if the feature element data has a mapping relation and the mapped primitive and basic attribute do not need to be processed, the feature element data is directly converted into a target geographic entity data set;
if the feature element data has a mapping relation and the mapped primitive and basic attribute need to be processed, editing the feature element data;
and if the ground feature element data does not have the mapping relation, reserving the ground feature element data.
The ground feature element is understood to mean a residential land, an industrial and mining enterprise building, public facilities, independent ground features, roads, auxiliary facilities thereof and the like on a topography map. Most ground object elements have mapping relation with geographical entities, such as artificial greenbelts, high grasslands, flowerpots, flower beds, ponds, lakes, street lamps and the like.
The mapped primitives and basic attributes still need to be subjected to data editing, including point diagram metadata editing, line diagram metadata editing and surface primitive data editing, although the mapping relation between the partial feature elements and the geographic entities exists.
Specifically, the dot pattern metadata editing includes taking a midpoint of a line as dot pattern metadata when the geographic information dataset geometry is the line. Such as a water lock feature line, a ship lock feature line, a propaganda show window, a billboard, and an electronic screen feature line. When the geographic information dataset geometry is a face, the geometric center or center of gravity of the face is taken as the dot pattern metadata, which must fall within the face. Such as a gate pier area, crane rail area, and open air equipment area.
Specifically, the line drawing metadata editing includes determining the length of the line drawing metadata and the like by combining the attribute of the geographic information data set when the geometric figure of the geographic information data set is a line, and ensuring the continuity and the integrity of the line drawing metadata by adopting processing modes such as line continuous mining, line merging, line cutting and the like. For example, the discretization problem of the water system and the road center line can be solved by a line merging processing mode. And when the geometric figure of the geographic information data set is a plane, merging the geometric figures by the same category or cross categories, and taking the central line of the plane as line drawing metadata. For example, the water system and the road surface have fracture problems, and the complete surface primitive data can be formed by surface merging.
The editing of the surface primitive data comprises that when the geometric figure of the geographic information data set is a line, the auxiliary reference data is utilized to construct a surface by the line and serve as the surface primitive data in combination with the attribute of the geographic information data set.
And when the geometry of the geographic information data set is a plane, obtaining the plane primitive data through the same-class or cross-class plane combination, plane segmentation and the like.
Step S104, carrying out semantic processing on the entity attribute and the entity relation of the converted geographic entity data set to obtain a target geographic entity data set.
Specifically, the semanteme refers to processing data and information so that the electronic equipment can quickly and accurately understand the data and the information.
The step of semantically processing the entity attribute and the entity relation of the converted geographic entity data set to obtain a target geographic entity data set comprises the following steps:
extracting entity attributes and entity relations of the converted geographic entity data set;
and semantically identifying the entity attributes and the entity relations to obtain target geographic entity data.
It can be understood that by semantically identifying entity attributes and entity relationships of the converted geographic entity data set, the target geographic entity data can be more conveniently edited, a great deal of editing work is not needed to be manually participated, and the editing accuracy is improved under the condition of reducing the manual interpretation error rate.
Step S105, determining whether the target geographic entity data set meets a preset quality standard, and if the target geographic entity data set meets the preset quality standard, generating geographic entity data.
Specifically, the geographic entity data is a basic unit which takes geometric primitives of points, lines and planes as spatial data expression and classification hierarchical organization, each primitive is endowed with unique primitive identification, classification identification and life cycle identification, and classification of information content and incremental update based on the primitives can be realized.
The step of judging whether the target geographic entity data set meets the preset quality standard, if the target geographic entity data set meets the preset quality standard, generating geographic entity data includes:
and if the target geographic entity data set does not meet the preset quality standard, repeating the step of converting the geographic information data set according to the mapping relation table.
Specifically, after the target geographic entity data set is acquired, data quality detection is required to be performed, and the preset quality standard can be customized according to the use scene and the use range of the user.
According to the method for producing the geographic entity data, the geographic information data set and the geographic entity are obtained, and the geographic information data set is subjected to standardized preprocessing to obtain the standard geographic information data set; configuring a mapping relation table of the standard geographic information data set; converting the geographic information data set according to the mapping relation table to obtain a converted geographic entity data set; performing semantic processing on the entity attribute and the entity relation of the converted geographic entity data set to obtain a target geographic entity data set; judging whether the target geographic entity data set meets the preset quality standard, if the target geographic entity data set meets the preset quality standard, generating geographic entity data, and quickly and accurately converting basic geographic information data into geographic entities by establishing a mapping relation between the geographic information data set and the geographic entities, so that developers do not need to participate in a large amount of semantic editing work, repeated mapping is not caused, the generation cost is reduced, and the generation efficiency of the geographic entities is improved.
Example 2
Furthermore, an embodiment of the present disclosure provides a device 200 for producing geographical entity data, see fig. 2, the device comprising:
an obtaining module 201, configured to obtain a geographic information data set and a geographic entity, and perform standardized preprocessing on the geographic information data set to obtain a standard geographic information data set;
a configuration module 202, configured to configure a mapping relationship table of the standard geographic information data set;
the conversion module 203 is configured to perform conversion processing on the geographic information data set according to the mapping relationship table, so as to obtain a converted geographic entity data set;
the semantic module 204 is configured to semantically process the entity attribute and the entity relationship of the converted geographic entity dataset to obtain a target geographic entity dataset;
the determining module 205 is configured to determine whether the target geographic entity dataset meets a preset quality standard, and if the target geographic entity dataset meets the preset quality standard, generate geographic entity data.
The geographical entity data production apparatus 200 provided in this embodiment may execute the geographical entity data production method shown in embodiment 1, and in order to avoid repetition, the description is omitted here.
The geographical entity data production device provided by the embodiment obtains a standard geographical information data set by obtaining the geographical information data set and the geographical entity and carrying out standardized preprocessing on the geographical information data set; configuring a mapping relation table of the standard geographic information data set; converting the geographic information data set according to the mapping relation table to obtain a converted geographic entity data set; performing semantic processing on the entity attribute and the entity relation of the converted geographic entity data set to obtain a target geographic entity data set; judging whether the target geographic entity data set meets the preset quality standard, if the target geographic entity data set meets the preset quality standard, generating geographic entity data, and quickly and accurately converting basic geographic information data into geographic entities by establishing a mapping relation between the geographic information data set and the geographic entities, so that developers do not need to participate in a large amount of semantic editing work, repeated mapping is not caused, the generation cost is reduced, and the generation efficiency of the geographic entities is improved.
Example 3
Furthermore, the disclosed embodiment provides an electronic device 300, comprising a memory and a processor, the memory storing a computer program, which when run on the processor performs the method for producing geographical entity data provided in embodiment 1 above.
Specifically, referring to fig. 3, the electronic device 300 includes: a transceiver 301, a bus interface and a processor 302.
In an embodiment of the present application, the electronic device 300 further includes: a memory 303. In fig. 3, a bus architecture may comprise any number of interconnected buses and bridges, with one or more processors, represented in particular by processor 302, and various circuits of memory, represented in memory 303, linked together. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., which are well known in the art and, therefore, will not be described further herein. The bus interface provides an interface. The transceiver 301 may be a number of elements, i.e. comprising a transmitter and a receiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 302 is responsible for managing the bus architecture and general processing, and the memory 303 may store data used by the processor 302 in performing operations.
The electronic device 300 provided in the embodiment of the present application may execute the method for producing the geographic entity data shown in embodiment 1, and in order to avoid repetition, a description thereof will be omitted.
Example 4
In the present embodiment, the computer readable storage medium may be a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, an optical disk, or the like.
The computer readable storage medium provided in this embodiment 4 may execute the method for producing the geographic entity data shown in embodiment 1, and in order to avoid repetition, a detailed description is omitted here.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal comprising the element.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are to be protected by the present application.
Claims (10)
1. A method of producing geographic entity data, the method comprising:
obtaining a geographic information data set and a geographic entity, and carrying out standardized preprocessing on the geographic information data set to obtain a standard geographic information data set;
configuring a mapping relation table of the standard geographic information data set;
converting the geographic information data set according to the mapping relation table to obtain a converted geographic entity data set;
performing semantic processing on the entity attribute and the entity relation of the converted geographic entity data set to obtain a target geographic entity data set;
judging whether the target geographic entity data set meets the preset quality standard, and if the target geographic entity data set meets the preset quality standard, generating geographic entity data.
2. The method of claim 1, wherein the step of normalizing the geographic information data set to obtain a standard geographic information data set comprises:
converting the source data with different formats in the geographic information data set into a preset format, converting the source data with different coordinate systems in the geographic information data set into a preset coordinate system, and performing picture frame edge processing on the geographic information data set to obtain a standard geographic information data set.
3. The method of claim 1, wherein prior to the step of configuring the mapping table of the standard geographic information dataset, comprising:
judging whether the standard geographic information data set meets a preset data quality standard or not;
if the standard geographic information data set does not meet the preset data quality standard, repeating the step of carrying out standardized pretreatment on the geographic information data set;
and if the standard geographic information data set meets the preset data quality standard, configuring a mapping relation table of the standard geographic information data set.
4. The method of claim 1, wherein the step of configuring the mapping table of the standard geographic information dataset comprises:
and configuring a mapping relation table of the geographic information data set according to the mapping relation of the geographic information data set.
5. The method of claim 1, wherein the step of converting the geographic information data set according to the mapping table to obtain a converted geographic entity data set comprises:
judging whether the feature element data in the geographic information data set has a mapping relation and whether the mapped primitive and the mapped basic attribute need to be processed;
if the feature element data has a mapping relation and the mapped primitive and basic attribute do not need to be processed, the feature element data is directly converted into a target geographic entity data set;
if the feature element data has a mapping relation and the mapped primitive and basic attribute need to be processed, editing the feature element data;
and if the ground feature element data does not have the mapping relation, reserving the ground feature element data.
6. The method of claim 1, wherein the step of semantically processing the entity attributes and entity relationships of the transformed geographic entity dataset to obtain a target geographic entity dataset comprises:
extracting entity attributes and entity relations of the converted geographic entity data set;
and semantically identifying the entity attributes and the entity relations to obtain target geographic entity data.
7. The method of claim 1, wherein the step of determining whether the target geographic entity dataset meets a predetermined quality criterion, and if the target geographic entity dataset meets the predetermined quality criterion, generating geographic entity data comprises:
and if the target geographic entity data set does not meet the preset quality standard, repeating the step of converting the geographic information data set according to the mapping relation table.
8. An apparatus for producing geographic entity data, the apparatus comprising:
the acquisition module is used for acquiring a geographic information data set and a geographic entity, and carrying out standardized pretreatment on the geographic information data set to acquire a standard geographic information data set;
the configuration module is used for configuring a mapping relation table of the standard geographic information data set;
the conversion module is used for converting the geographic information data set according to the mapping relation table to obtain a converted geographic entity data set;
the semantic module is used for semantically processing the entity attribute and the entity relation of the converted geographic entity data set to obtain a target geographic entity data set;
the judging module is used for judging whether the target geographic entity data set meets the preset quality standard or not, and generating geographic entity data if the target geographic entity data set meets the preset quality standard.
9. An electronic device comprising a memory and a processor, the memory storing a computer program which, when run by the processor, performs the method of producing geographical entity data of any one of claims 1 to 7.
10. A computer readable storage medium, characterized in that it stores a computer program which, when run on a processor, performs the method of producing geographical entity data of any one of claims 1 to 7.
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| CN202311171217.4A CN117131147A (en) | 2023-09-11 | 2023-09-11 | Geographic entity data production method and device, electronic equipment and storage medium |
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| CN202311171217.4A CN117131147A (en) | 2023-09-11 | 2023-09-11 | Geographic entity data production method and device, electronic equipment and storage medium |
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