CN114463499A - Building three-dimensional modeling method and device - Google Patents

Building three-dimensional modeling method and device Download PDF

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CN114463499A
CN114463499A CN202210232648.6A CN202210232648A CN114463499A CN 114463499 A CN114463499 A CN 114463499A CN 202210232648 A CN202210232648 A CN 202210232648A CN 114463499 A CN114463499 A CN 114463499A
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CN114463499B (en
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陈益丹
顾爝
祝勇清
黄晓青
沈烨东
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Haining Land And Space Planning And Design Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/003D [Three Dimensional] image rendering
    • G06T15/005General purpose rendering architectures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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Abstract

The embodiment of the invention provides a building three-dimensional modeling method and a building three-dimensional modeling device, wherein the method comprises the following steps: obtaining modeling information of building data of an area to be modeled, and determining a three-dimensional white model of a building according to the modeling information; acquiring position information of an area to be modeled and POI data of a city corresponding to a building; determining the type of the building according to the position information and the building distribution information, and judging the building to be a group building or a single building; when the building is a group building, searching texture data matched with the type of the building in the building group to obtain a three-dimensional model of the area to be modeled; and when the building is a single building, searching texture data matched with the type of the building in the city to obtain a three-dimensional model of the area to be modeled, and sequencing the three-dimensional models for a user to confirm the three-dimensional models to obtain the final three-dimensional model. By adopting the method, the modeling efficiency and the resource utilization can be ensured and the modeling accuracy can be improved at the same time by the reference of POI data and the judgment of the building type.

Description

Building three-dimensional modeling method and device
Technical Field
The invention relates to the technical field of building modeling, in particular to a building three-dimensional modeling method and device.
Background
A three-Dimensional City model (3 Dimensional City module, 3DCM) is a three-Dimensional model manufactured on the basis of two-Dimensional geographic information, developed into a three-Dimensional geographic information system through program development, which can be used to analyze natural and construction elements of a City, and a user obtains a real and intuitive virtual City environment feeling through interactive operation.
However, at present, city modeling of many cities is either established on the basis of a traditional modeling method, and blocks are pushed and pulled one by one for each building on the basis of cad terrain, so that time is wasted, resources are consumed, or modeling is performed uniformly, but errors may be generated by uniform modeling.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a building three-dimensional modeling method and device.
The embodiment of the invention provides a three-dimensional building modeling method, which comprises the following steps:
the method comprises the steps of obtaining building data of an area to be modeled for preprocessing, extracting the preprocessed building data to obtain modeling information for modeling, and determining a three-dimensional white model of a building according to the modeling information;
acquiring position information of the area to be modeled and POI data of a city corresponding to the building, wherein the POI data comprises building distribution information and building scores;
determining the type of the building according to the position information and the building distribution information, and judging whether the building is a group building or a single building according to the type of the building;
when the building is a group building, according to the type of the building and in combination with building distribution information, searching texture data matched with the type of the building in a building group, and rendering the texture data into the three-dimensional white model to obtain a three-dimensional model of the area to be modeled;
when the building is a single building, according to the type of the building and in combination with building distribution information, finding texture data matched with the type of the building in a city corresponding to the building, rendering the texture data to the three-dimensional white model to obtain a three-dimensional model of the area to be modeled, sequencing the three-dimensional model according to building scores of original buildings corresponding to the texture data for a user to confirm the three-dimensional model, and after receiving a confirmation instruction, obtaining a final three-dimensional model of the area to be modeled according to the confirmation instruction
In one embodiment, the method further comprises:
detecting whether the building data contains related information of group buildings or individual buildings;
when the building data comprises the relevant information of group buildings or individual buildings, judging whether the building is the group building or the individual building according to the relevant information;
and when the building data does not contain the related information of the group building or the single building, comparing the three-dimensional white model with the three-dimensional white models of other buildings in the geographical position area where the building is located, and judging whether the building is the group building or the single building according to the comparison result, wherein the building distribution information contains the geographical position area.
In one embodiment, the method further comprises:
and acquiring a corresponding big data platform according to the type of the building, calculating the building score of the original building corresponding to the texture data in the big data platform, and sequencing the building scores of the original building corresponding to the texture data.
In one embodiment, the building distribution information comprises geographical location areas where buildings are distributed in cities and corresponding POI names;
the determining the type of the building according to the position information and the building distribution information includes:
and according to the position information of the area to be modeled, matching with the geographical position areas distributed by the buildings in the city, determining the POI name corresponding to the geographical position area where the position information of the area to be modeled is located, and determining the type of the building according to the POI name.
In one embodiment, the method further comprises:
and when the confirmation instruction is not received within the preset time length, taking the three-dimensional model with the top sequence as the final three-dimensional model of the area to be modeled.
The embodiment of the invention provides a three-dimensional building modeling device, which comprises:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring building data of an area to be modeled for preprocessing, extracting the preprocessed building data to obtain modeling information for modeling, and determining a three-dimensional white model of a building according to the modeling information;
the second acquisition module is used for acquiring position information of the area to be modeled and POI data of a city corresponding to the building, wherein the POI data comprises building distribution information and building scores;
the judging module is used for determining the type of the building according to the position information and the building distribution information and judging whether the building is a group building or a single building according to the type of the building;
the first model module is used for searching texture data matched with the type of the building in a building group according to the type of the building and by combining building distribution information when the building is a group building, and rendering the texture data into the three-dimensional white model to obtain a three-dimensional model of the area to be modeled;
and the second model module is used for searching texture data matched with the type of the building in a city corresponding to the building according to the type of the building and by combining building distribution information, rendering the texture data to the three-dimensional white model to obtain a three-dimensional model of the area to be modeled, sequencing the three-dimensional model according to the building score of an original building corresponding to the texture data for a user to confirm the three-dimensional model, and obtaining a final three-dimensional model of the area to be modeled according to a confirmation instruction after receiving the confirmation instruction.
In one embodiment, the apparatus further comprises:
the detection module is used for detecting whether the building data contains related information of group buildings or individual buildings;
the second judging module is used for judging whether the building is a group building or a single building according to the relevant information when the building data comprises the relevant information of the group building or the single building;
and the third judging module is used for comparing the three-dimensional white model with the three-dimensional white models of other buildings in the geographical location area where the building is located when the building data does not contain the related information of the group building or the single building, judging whether the building is the group building or the single building according to the comparison result, and judging whether the building is the group building or the single building, wherein the building distribution information contains the geographical location area.
In one embodiment, the apparatus further comprises:
and the calculation module is used for acquiring a corresponding big data platform according to the type of the building, calculating the building score of the original building corresponding to the texture data in the big data platform, and sequencing the building score of the original building corresponding to the texture data.
The embodiment of the invention provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the steps of the building three-dimensional modeling method.
An embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the above-described building three-dimensional modeling method.
The embodiment of the invention provides a building three-dimensional modeling method and device, which comprises the steps of obtaining building data of an area to be modeled for preprocessing, extracting the data of the preprocessed building data to obtain modeling information for modeling, and determining a three-dimensional white model of a building according to the modeling information; acquiring position information of an area to be modeled and POI data of a city corresponding to a building, wherein the POI data comprises building distribution information and building scores; determining the type of the building according to the position information and the building distribution information, and judging whether the building is a group building or a single building according to the type of the building; when the building is a group building, according to the type of the building and in combination with building distribution information, searching texture data matched with the type of the building in the building group, and rendering the texture data into a three-dimensional white model to obtain a three-dimensional model of an area to be modeled; when the building is a single building, according to the type of the building, by combining with building distribution information, texture data matched with the type of the building in a city corresponding to the building is searched, the texture data is rendered into a three-dimensional white model to obtain a three-dimensional model of an area to be modeled, the three-dimensional model is sequenced according to building scores of an original building corresponding to the texture data, the three-dimensional model is confirmed by a user, and after a confirmation instruction is received, a final three-dimensional model of the area to be modeled is obtained according to the confirmation instruction. Therefore, by the POI data reference and the building type judgment, the modeling efficiency and the resource utilization are ensured, and meanwhile, the modeling accuracy is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a method for three-dimensional modeling of a building in an embodiment of the present invention;
FIG. 2 is a block diagram of a three-dimensional modeling apparatus for a building according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flow chart of a building three-dimensional modeling method according to an embodiment of the present invention, and as shown in fig. 1, the embodiment of the present invention provides a building three-dimensional modeling method, including:
step S101, building data of an area to be modeled are obtained and preprocessed, data extraction is carried out on the preprocessed building data, modeling information used for modeling is obtained, and a three-dimensional white model of a building is determined according to the modeling information.
Specifically, a region to be modeled, which needs to be modeled, is determined, building data of the region to be modeled is preprocessed, the data is split (split into related data of a single building), integrated (related data of the single building is integrated), prioritized (modeling sequence of the buildings of the region to be modeled is sequenced), and the like, then data extraction of the building data is performed, modeling information which can be used for modeling is extracted, the modeling information can include building height data, various vector data of the surface, and the like, and then a three-dimensional white model of the building is determined according to the modeling information, wherein the three-dimensional white model has no texture and can be obtained by stretching a two-dimensional model of the building.
And S102, acquiring position information of the area to be modeled and POI data of a city corresponding to the building, wherein the POI data comprises building distribution information and building scores.
Specifically, the location information of the area to be modeled is obtained, such as information of the area to be modeled on a map, and POI (point of interest) data of a city corresponding to a building, where the POI (point of interest) data of the city generally includes four-side information, name, category, coordinate, and classification of the building, in this embodiment, the POI data may further include building distribution information and building score, the building distribution information may include a geographical location area where the building is distributed in the city and a corresponding POI name, such as in a first area residential quarter in the map, the POI name of the building is a residential building, in a second area school in the map, the POI name of the building is a teaching building, an office building, a main building, and the like, in a third area market in the map, the POI name of the building is a road shop, a center shop and the like, the building score may be a score of the building in the big data, for different types of buildings, scoring sources may be different, for example, school buildings such as teaching buildings and office buildings may obtain relevant evaluations from addresses such as relevant websites of schools, and calculate building scores according to the relevant evaluations, buildings in a shopping mall may obtain user evaluations from relevant APPs, and calculate building scores according to the user ratings, and in addition, may also obtain corresponding building scores from building relevant websites, and no special limitation is made here.
And step S103, determining the type of the building according to the position information and the building distribution information, and judging whether the building is a group building or a single building according to the type of the building.
Specifically, the building type of the area where the building is located is determined according to the position information and the building distribution information, and then the building type is determined, that is, according to the position information of the area to be modeled, the building type is matched with the geographical position area where the building is distributed in the city, then the POI name corresponding to the geographical position area of the position information of the area to be modeled is determined, and then the corresponding POI name determines the building type according to the POI name, for example, the position information of the building is located in a first cell, and the POI name of the first cell is a first cell residential building, and then the building type is a residential building, and then according to the building type, it is determined whether the building is a group building or a single building, for example, when the building type is a residential building, the building is a group building, and when the building type is a hospital main building and a school main building, the building type of the building is usually a single building.
The method for determining whether the building is a group building or a single building may, for example, first detect whether the building data includes related information of the group building or the single building, when the building data includes the related information of the group building or the single building, directly determine whether the building is the group building or the single building according to the related information, when the building data does not include the related information of the group building or the single building, the related information may, for example, include a related keyword or a related identifier which can indicate the group building or the single building in the building data, compare the three-dimensional white model with three-dimensional white models of other buildings in a geographical location area where the building is located, and determine whether the building is the group building or the single building according to a comparison result.
And step S104, when the building is a group building, according to the type of the building and in combination with building distribution information, searching texture data matched with the type of the building in a building group, and rendering the texture data into the three-dimensional white model to obtain the three-dimensional model of the area to be modeled.
Specifically, when the building is a group building, texture data matched with the type of the building in the building group is searched according to the type of the building and the building distribution information, for example, when the type of the building is a residential building, texture data (texture data of other residential buildings) matched with the type of the building in the building group corresponding to the residential building is searched according to the building distribution information, wherein the texture data can be acquired from a database of the building texture, or physical data of the building in a corresponding building area can be determined through technologies such as unmanned aerial vehicle shooting and satellite shooting, and then the texture data is rendered into a three-dimensional white model to obtain a three-dimensional model of the area to be modeled.
Step S105, when the building is a single building, according to the type of the building, by combining building distribution information, searching texture data matched with the type of the building in a city corresponding to the building, rendering the texture data to the three-dimensional white model to obtain a three-dimensional model of the area to be modeled, sequencing the three-dimensional model according to the building score of an original building corresponding to the texture data for a user to confirm the three-dimensional model, and after receiving a confirmation instruction, obtaining a final three-dimensional model of the area to be modeled according to the confirmation instruction.
Specifically, when the building is a single building, according to the type of the building, and in combination with building distribution information of a city, texture data matched with the type of the building in the city is searched, for example, when the type of the building is a mall center building, texture data of all mall center buildings in the city is searched according to the building distribution information of the city, and the texture data of all mall center buildings in the city is rendered into a three-dimensional white model to obtain a plurality of three-dimensional models of an area to be modeled, for the plurality of three-dimensional models, building scores of original buildings corresponding to the texture data are ranked according to the building scores, wherein the ranking order is to obtain a corresponding large data platform according to the type of the building, count related evaluations or scores of the original buildings corresponding to the texture data in the large data platform, and then calculate the building scores according to the related evaluations or scores of the original buildings, and ranking the building scores of the original buildings corresponding to the texture data, for example, ranking the building scores corresponding to the user scores in the APPs of all shopping mall center buildings according to the ranking order, then ranking according to the building scores from high to low for the relevant users to confirm the three-dimensional model, and after receiving confirmation instructions of the relevant users, obtaining the final three-dimensional model of the area to be modeled according to the confirmation instructions.
In addition, when the confirmation instruction of the relevant user is not received within the preset time length, the three-dimensional model with the top sequence is used as the final three-dimensional model of the area to be modeled.
The embodiment of the invention provides a building three-dimensional modeling method, which comprises the steps of obtaining building data of an area to be modeled for preprocessing, extracting the data of the preprocessed building data to obtain modeling information for modeling, and determining a three-dimensional white model of a building according to the modeling information; acquiring position information of an area to be modeled and POI data of a city corresponding to a building, wherein the POI data comprises building distribution information and building scores; determining the type of the building according to the position information and the building distribution information, and judging whether the building is a group building or a single building according to the type of the building; when the building is a group building, according to the type of the building and in combination with building distribution information, searching texture data matched with the type of the building in the building group, and rendering the texture data into a three-dimensional white model to obtain a three-dimensional model of an area to be modeled; when the building is a single building, according to the type of the building, by combining with building distribution information, texture data matched with the type of the building in a city corresponding to the building is searched, the texture data is rendered into a three-dimensional white model to obtain a three-dimensional model of an area to be modeled, the three-dimensional model is sequenced according to building scores of an original building corresponding to the texture data, the three-dimensional model is confirmed by a user, and after a confirmation instruction is received, a final three-dimensional model of the area to be modeled is obtained according to the confirmation instruction. Therefore, by the POI data reference and the building type judgment, the modeling efficiency and the resource utilization are ensured, and meanwhile, the modeling accuracy is improved.
Fig. 2 is a three-dimensional building modeling apparatus provided in an embodiment of the present invention, including: a first obtaining module S201, a second obtaining module S202, a judging module S203, a first model module S204, and a second model module S205, wherein:
the first obtaining module S201 is configured to obtain building data of an area to be modeled for preprocessing, perform data extraction on the preprocessed building data to obtain modeling information used for modeling, and determine a three-dimensional white model of a building according to the modeling information.
A second obtaining module S202, configured to obtain location information of the area to be modeled and POI data of a city corresponding to the building, where the POI data includes building distribution information and building score.
And the judging module S203 is used for determining the type of the building according to the position information and the building distribution information, and judging whether the building is a group building or a single building according to the type of the building.
The first model module S204 is configured to, when the building is a group building, find texture data in a building group that matches the type of the building according to the type of the building and by combining building distribution information, and render the texture data into the three-dimensional white model to obtain a three-dimensional model of the area to be modeled.
A second model module S205, configured to, when the building is a single building, according to the type of the building, in combination with building distribution information, find texture data that matches the type of the building in a city corresponding to the building, render the texture data into the three-dimensional white model, obtain a three-dimensional model of the area to be modeled, sort the three-dimensional model according to building scores of an original building corresponding to the texture data, so that a user performs three-dimensional model validation, and after receiving a validation instruction, obtain a final three-dimensional model of the area to be modeled according to the validation instruction.
In one embodiment, the apparatus may further comprise:
and the detection module is used for detecting whether the building data contains the related information of the group buildings or the individual buildings.
And the second judging module is used for judging whether the building is a group building or a single building according to the relevant information when the building data contains the relevant information of the group building or the single building.
And the third judging module is used for comparing the three-dimensional white model with the three-dimensional white models of other buildings in the geographical location area where the building is located when the building data does not contain the related information of the group building or the single building, judging whether the building is the group building or the single building according to the comparison result, and judging whether the building is the group building or the single building, wherein the building distribution information contains the geographical location area.
In one embodiment, the apparatus may further comprise:
and the calculation module is used for acquiring a corresponding big data platform according to the type of the building, calculating the building score of the original building corresponding to the texture data in the big data platform, and sequencing the building score of the original building corresponding to the texture data.
In one embodiment, the apparatus may further comprise:
and the third model module is used for taking the three-dimensional model with the top sequence as the final three-dimensional model of the area to be modeled when the confirmation instruction is not received within the preset time length.
For specific definition of the building three-dimensional modeling apparatus, reference may be made to the above definition of the building three-dimensional modeling method, which is not described herein again. The modules in the building three-dimensional modeling device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor)301, a memory (memory)302, a communication Interface (Communications Interface)303 and a communication bus 304, wherein the processor 301, the memory 302 and the communication Interface 303 complete communication with each other through the communication bus 304. The processor 301 may call logic instructions in the memory 302 to perform the following method: the method comprises the steps of obtaining building data of an area to be modeled for preprocessing, extracting the preprocessed building data to obtain modeling information for modeling, and determining a three-dimensional white model of a building according to the modeling information; acquiring position information of an area to be modeled and POI data of a city corresponding to a building, wherein the POI data comprises building distribution information and building scores; determining the type of the building according to the position information and the building distribution information, and judging whether the building is a group building or a single building according to the type of the building; when the building is a group building, according to the type of the building and in combination with building distribution information, searching texture data matched with the type of the building in the building group, and rendering the texture data into a three-dimensional white model to obtain a three-dimensional model of an area to be modeled; when the building is a single building, according to the type of the building, by combining with building distribution information, texture data matched with the type of the building in a city corresponding to the building is searched, the texture data is rendered into a three-dimensional white model to obtain a three-dimensional model of an area to be modeled, the three-dimensional model is sequenced according to building scores of an original building corresponding to the texture data, the three-dimensional model is confirmed by a user, and after a confirmation instruction is received, a final three-dimensional model of the area to be modeled is obtained according to the confirmation instruction.
Furthermore, the logic instructions in the memory 302 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the transmission method provided in the foregoing embodiments when executed by a processor, and for example, the method includes: the method comprises the steps of obtaining building data of an area to be modeled for preprocessing, extracting the preprocessed building data to obtain modeling information for modeling, and determining a three-dimensional white model of a building according to the modeling information; acquiring position information of an area to be modeled and POI data of a city corresponding to a building, wherein the POI data comprises building distribution information and building scores; determining the type of the building according to the position information and the building distribution information, and judging whether the building is a group building or a single building according to the type of the building; when the building is a group building, according to the type of the building and in combination with building distribution information, searching texture data matched with the type of the building in the building group, and rendering the texture data into a three-dimensional white model to obtain a three-dimensional model of an area to be modeled; when the building is a single building, according to the type of the building, by combining with building distribution information, texture data matched with the type of the building in a city corresponding to the building is searched, the texture data is rendered into a three-dimensional white model to obtain a three-dimensional model of an area to be modeled, the three-dimensional model is sequenced according to building scores of an original building corresponding to the texture data, the three-dimensional model is confirmed by a user, and after a confirmation instruction is received, a final three-dimensional model of the area to be modeled is obtained according to the confirmation instruction.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A method for three-dimensional modeling of a building, comprising:
the method comprises the steps of obtaining building data of an area to be modeled for preprocessing, extracting the preprocessed building data to obtain modeling information for modeling, and determining a three-dimensional white model of a building according to the modeling information;
acquiring position information of the area to be modeled and POI data of a city corresponding to the building, wherein the POI data comprises building distribution information and building scores;
determining the type of the building according to the position information and the building distribution information, and judging whether the building is a group building or a single building according to the type of the building;
when the building is a group building, according to the type of the building and in combination with building distribution information, searching texture data matched with the type of the building in a building group, and rendering the texture data into the three-dimensional white model to obtain a three-dimensional model of the area to be modeled;
when the building is a single building, according to the type of the building, in combination with building distribution information, searching texture data matched with the type of the building in a city corresponding to the building, rendering the texture data to the three-dimensional white model to obtain a three-dimensional model of the area to be modeled, sequencing the three-dimensional model according to building scores of an original building corresponding to the texture data for a user to confirm the three-dimensional model, and after receiving a confirmation instruction, obtaining a final three-dimensional model of the area to be modeled according to the confirmation instruction.
2. The method for building three-dimensional modeling according to claim 1, wherein said determining whether the building is a group building or a single building comprises:
detecting whether the building data contains related information of group buildings or individual buildings;
when the building data comprises the relevant information of group buildings or individual buildings, judging whether the building is the group building or the individual building according to the relevant information;
and when the building data does not contain the related information of the group building or the single building, comparing the three-dimensional white model with the three-dimensional white models of other buildings in the geographical position area where the building is located, and judging whether the building is the group building or the single building according to the comparison result, wherein the building distribution information contains the geographical position area.
3. The method for building three-dimensional modeling according to claim 1, wherein said ranking the three-dimensional models according to the building scores of the original buildings corresponding to the texture data comprises:
and acquiring a corresponding big data platform according to the type of the building, calculating the building score of the original building corresponding to the texture data in the big data platform, and sequencing the building scores of the original building corresponding to the texture data.
4. The method of claim 1, wherein the building distribution information includes geographical location areas of the building distribution in the city and corresponding POI names;
the determining the type of the building according to the position information and the building distribution information includes:
and according to the position information of the area to be modeled, matching with the geographical position areas distributed by the buildings in the city, determining the POI name corresponding to the geographical position area where the position information of the area to be modeled is located, and determining the type of the building according to the POI name.
5. The method of claim 1, wherein after the step of ranking the three-dimensional models according to the building scores of the original buildings corresponding to the texture data, the method further comprises the steps of:
and when the confirmation instruction is not received within the preset time length, taking the three-dimensional model with the top sequence as the final three-dimensional model of the area to be modeled.
6. A three-dimensional modeling apparatus for a building, the apparatus comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring building data of an area to be modeled for preprocessing, extracting the preprocessed building data to obtain modeling information for modeling, and determining a three-dimensional white model of a building according to the modeling information;
the second acquisition module is used for acquiring position information of the area to be modeled and POI data of a city corresponding to the building, wherein the POI data comprises building distribution information and building scores;
the judging module is used for determining the type of the building according to the position information and the building distribution information and judging whether the building is a group building or a single building according to the type of the building;
the first model module is used for searching texture data matched with the type of the building in a building group according to the type of the building and by combining building distribution information when the building is a group building, and rendering the texture data into the three-dimensional white model to obtain a three-dimensional model of the area to be modeled;
and the second model module is used for searching texture data matched with the type of the building in a city corresponding to the building according to the type of the building and by combining building distribution information, rendering the texture data to the three-dimensional white model to obtain a three-dimensional model of the area to be modeled, sequencing the three-dimensional model according to the building score of an original building corresponding to the texture data for a user to confirm the three-dimensional model, and obtaining a final three-dimensional model of the area to be modeled according to a confirmation instruction after receiving the confirmation instruction.
7. The building three-dimensional modeling apparatus as defined in claim 6, said apparatus further comprising:
the detection module is used for detecting whether the building data contains related information of group buildings or individual buildings;
the second judging module is used for judging whether the building is a group building or a single building according to the relevant information when the building data comprises the relevant information of the group building or the single building;
and the third judging module is used for comparing the three-dimensional white model with the three-dimensional white models of other buildings in the geographical location area where the building is located when the building data does not contain the related information of the group building or the single building, judging whether the building is the group building or the single building according to the comparison result, and judging whether the building is the group building or the single building, wherein the building distribution information contains the geographical location area.
8. The building three-dimensional modeling apparatus as defined in claim 6, said apparatus further comprising:
and the calculation module is used for acquiring a corresponding big data platform according to the type of the building, calculating the building score of the original building corresponding to the texture data in the big data platform, and sequencing the building score of the original building corresponding to the texture data.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the method of three-dimensional modeling of a building as claimed in any of claims 1 to 5.
10. A non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for three-dimensional modeling of a building according to any one of claims 1 to 5.
CN202210232648.6A 2022-03-10 2022-03-10 Building three-dimensional modeling method and device Active CN114463499B (en)

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