CN113157831A - City information model modeling method based on space-time grid data - Google Patents
City information model modeling method based on space-time grid data Download PDFInfo
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Abstract
According to the city information model modeling method based on the space-time grid data, objects in city space-time are coded based on a GeoSOT model, and grid codes of the objects in the city space-time are obtained; correlating the grid codes of the objects in the city space-time with the object data in the city space-time to form a city space-time grid database; loading object data in the city space-time range according to the city space-time range on the basis of the city space-time grid database to obtain a city information model based on the city space-time grid data; when object data in city space-time associated with the city information model changes, the city information model can be automatically and synchronously associated based on the city space-time grid database to generate a digital twin panorama of the city space-time. The method can solve the problem of data fusion of GIS combined with BIM, converts object-oriented data organization into space-oriented data organization, and has the advantages of flexible activation of data service as required, openness of a city information model, data inheritance and the like.
Description
Technical Field
The disclosure belongs to the technical field of information, and particularly relates to a city information model modeling method based on space-time grid data.
Background
A traditional CIM (City Information Modeling) Modeling method combining a Geographic Information System (GIS) with a Building Information Model (BIM) has an obvious limitation, that is, a data bearing mode based on a GIS layer cannot substantially solve the data dynamic problem of a space-time model, and a two-dimensional form of GIS-layered data cannot solve the three-dimensional expression requirement and cannot realize the expression of temporal change. The BIM modeling has too strong monomer, fusion among different BIM models is difficult to realize, and the BIM modeling also cannot realize expression of temporal change. By the essence of the method, the problem of data organization convergence is difficult to solve due to the complexity of the object and the private definition of the object ID, so that the generated model is difficult to realize the opening and the dynamization of the model data.
Most of the existing CIM model construction aims to solve the problem of data unification by setting a metadata table (library) and other forms from the perspective of object data, and the internal logic relationship among multi-level CIM models with different fineness is not really unified; even if the conversion problem of the relative coordinate and the absolute coordinate is solved through the longitude and latitude in part of technologies, the coordinate system of the longitude and latitude point has the problems of great efficiency limitation and the like in the using process.
Disclosure of Invention
In view of the above, the present disclosure provides a city information model modeling method based on space-time grid data, which solves the problem of data fusion in which GIS is combined with BIM, converts the traditional object-oriented data organization into a space-oriented data organization, and has the advantages of global space three-dimensional, data space-time coding standardization, full data dynamic visualization, flexible activation of data services as required, architectural model openness, data inheritance, update dynamics, interaction real-time, and the like.
According to an aspect of the present disclosure, the present disclosure provides a method for modeling a city information model based on spatio-temporal mesh data, the method comprising:
coding objects in city space-time based on a GeoSOT model to obtain grid codes of the objects in the city space-time;
correlating the grid codes of the objects in the city space-time with the object data in the city space-time to form a city space-time grid database;
on the basis of the urban space-time grid database, loading object data in the urban space-time range according to the urban space-time range to obtain an urban information model based on the urban space-time grid data;
and when the object data in the city space-time associated with the city information model changes, the city information model can be automatically and synchronously associated based on the city space-time grid database to generate the digital twin panorama of the city space-time.
In a possible implementation manner, after obtaining the city information model based on the city space-time grid data, the method further includes:
and calculating and analyzing business logic by using the urban information model based on the urban space-time grid database, and outputting a business logic calculation result.
In one possible implementation manner, the city space-time grid database takes the grid code of the object in the city space-time as the main key, and takes the ID information and the attribute data of the object in the city space-time as the attribute information.
In one possible implementation, loading object data within a city space-time range according to the city space-time range includes: and loading the object data in the city space-time range according to the grid codes of the objects in the city space-time or the grid code combination of the objects in the city space-time.
In one possible implementation, the loading the object data in the city space-time range according to the city space-time range further includes: and loading the object data in the city space-time range in a layered classification mode according to the object data types in the city space-time range.
In one possible implementation, the city information model includes a loading presentation module of object data in city space-time.
In one possible implementation, the object data in the city space-time includes: basic geographic information data, building model data, map street view data, oblique photography data, point cloud data, meteorological ocean data, human-house method data, video data, sensor data, social and economic data, internet data, magnetic field data and gravity field data.
In one possible implementation, the calculating and analyzing business logic using the city information model includes:
sending a service logic calculation request to the urban space-time grid database, and selecting the urban space-time grid data calculation type according to the service logic calculation request;
and calling the city information model algorithm to calculate the selected city space-time grid data and outputting an analysis result of the city space-time grid data.
In one possible implementation, the city information model algorithm includes: a grid basic operation model algorithm, a grid space measurement model algorithm, a grid intersection and difference compensation calculation model algorithm and a grid topological relation model algorithm.
According to the city information model modeling method based on the space-time grid data, objects in city space-time are coded based on a GeoSOT model, and grid codes of the objects in the city space-time are obtained; correlating the grid codes of the objects in the city space-time with the object data in the city space-time to form a city space-time grid database; on the basis of the urban space-time grid database, loading object data in the urban space-time range according to the urban space-time range to obtain an urban information model based on the urban space-time grid data; and when the object data in the city space-time associated with the city information model changes, the city information model can be automatically and synchronously associated based on the city space-time grid database to generate the digital twin panorama of the city space-time. The method can solve the problem of data fusion of GIS combined with BIM, converts the traditional object-oriented data organization into the space-oriented data organization, and has the advantages of three-dimensional universe space, standardization of data space-time coding, dynamic visualization of full data, flexible activation of data service as required, openness of architecture model, data inheritance, updating dynamics, interaction real-time property and the like.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
FIG. 1 illustrates a flow diagram of a method for modeling a city information model based on spatiotemporal grid data according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of city information model grid association data based on spatio-temporal grid data according to an embodiment of the present disclosure;
FIG. 3 is a diagram illustrating city information model grid association data based on spatiotemporal grid data according to an embodiment of the present disclosure;
FIG. 4 is a diagram illustrating a multi-source heterogeneous data presentation module of a spatio-temporal grid data-based city information model according to an embodiment of the present disclosure;
FIG. 5 is a diagram illustrating a multi-source heterogeneous data loading presentation effect of a spatio-temporal grid data-based city information model according to an embodiment of the present disclosure;
FIG. 6 illustrates a flow diagram of a method for modeling a city information model based on spatiotemporal grid data according to another embodiment of the present disclosure;
FIG. 7 shows a further defined flowchart of step S5 according to an embodiment of the present disclosure;
FIG. 8 is a schematic diagram illustrating the results of grid data analysis of a spatio-temporal grid data-based city information model according to an embodiment of the present disclosure.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
The invention provides a space-time grid framework based on a GeoSOT-Beidou space-time grid technology, is essentially an open big data framework based on space-time coding, and organizes urban multi-source heterogeneous space-time data (object data in urban space-time) through grid association to form a unified urban big data model. From the view of data logic, the grids become data-bearing containers, and all the introduction, loading, extraction, distribution and computational analysis of the multi-source heterogeneous space-time data are performed on the basis of grids with different scales or different levels. From data access, the GeoSOT-Beidou space-time grid framework covers the whole data of the GIS + BIM +5G + IoT and other universe spaces, covers all types of land, sea, air, sky and electricity and underground/underwater forms, and can load various types of data in a layered mode according to requirements. From the technical fusion, the space-time grid technology can be deeply fused with innovative technologies such as a novel mapping technology, an identification perception technology, a cooperative computing technology, a full-element digital expression technology, an analog simulation technology, a deep learning technology and the like to jointly form a technical support system for building a CIM platform.
FIG. 1 shows a flowchart of a method for modeling a city information model based on spatio-temporal grid data according to an embodiment of the present disclosure. As shown in fig. 1, the method may include:
step S1: and coding the object in the city space-time based on the GeoSOT model to obtain the grid code of the object in the city space-time.
The GeoSOT model (global longitude and latitude subdivision grids based on 2n and integer one-dimensional arrays) divides the global space from 52 kilometres above the earth surface to the near-earth center into 32-level grid voxels with the maximum whole earth and the minimum 1.5 cm, and each grid has a unique binary shaping code. The Beidou space-time grid technology is different from the traditional method of defining the plane position by longitude and latitude two-dimensional indexes, defining the three-dimensional space and the position thereof by one-dimensional integer number, developing a set of multi-scale grid coding algebraic algorithm, and having the advantages of multi-scale stereoscopy, high-efficiency calculation, good accommodation interactivity and the like.
And (3) coding the aerial object in city time based on the GeoSOT model, and then identifying the object in city time by using the unique space grid code.
Step S2: and correlating the grid codes of the objects in the city space-time with the object data in the city space-time to form the city space-time grid database.
The Beidou space-time grid technology can accurately encode and express information of global space, and can endow a computable and easily-retrieved global unique space identifier for each inch of space of land, sea, air, space, power and underground; the space-based big data organization framework can be further adopted, space-time data attributes can be given to earth space everything by combining time coding, and the mutual object data interconnection taking the space-time coding as a main index is realized.
In principle, everything in geospatial (global universe) will fall into one or several grid spaces at one time. Therefore, no matter the macro scale information such as natural geography, meteorological environment, urban and rural space and the like, the mesoscale information such as house buildings, road facilities and the like, and the micro scale information such as urban parts, building components and the like, a meshed urban space-time static bottom die can be formed through the systematization organization of space-time coding. On the basis, the behavior activity information of people/organizations can be further expanded and included, even social and economic collective data are associated to the grid through individuals, and urban dynamic panoramic mapping under a unified space-time framework is formed.
FIG. 2 is a schematic diagram of city information model grid association data based on spatio-temporal grid data according to an embodiment of the present disclosure.
As shown in fig. 2, after grid coding based on the same grid level is established for multi-source heterogeneous data (object data in urban space-time) including location name address information, the grid coding can be automatically used for establishing association relationship with grids on the urban space-time grid. For example, fig. 2 includes basic geographic information data such as the Yihe road No. 5 and the house number, building model data such as house information, map and street view data including traffic information, facility information and power information, oblique photography data, PIO point cloud data, and city space-time object data such as people and house data including population data and house property data, which are automatically associated with grids on the city space-time grids through grid codes, that is, various types of city space-time object data are associated with corresponding grid codes, the original data of various types of city space-time objects are retained, and a city space-time grid database using the city space-time object grid codes as indexes is newly established. The city space-time grid database takes the grid codes of the objects in the city space-time as main keys, and the ID information and the attribute data of the objects in the city space-time are uniformly used as attribute information (the original part or all attribute information of the object data of the objects in the city space-time can be recorded according to the business requirements) to form the city space-time grid database.
FIG. 3 is a schematic diagram of city information model grid association data based on spatio-temporal grid data according to an embodiment of the present disclosure.
For example, as shown in fig. 3, in the process of grid coding access of object data in city space-time, the relevant access to different data types such as conventional space data, field space data, internet of things data, social economy and the like is realized by a subdivision coding model, a coding tool and a grid index dynamic synchronization mechanism, so as to form a city space-time grid database with a grid index core.
Step S3: and on the basis of the urban space-time grid database, loading the object data in the urban space-time range according to the urban space-time range to obtain an urban information model based on the urban space-time grid data.
The modeling of the urban information model requires the realization of mapping transformation from the urban space-time grid database to the urban information model. True three-dimensional, stereoscopic, and visual are the basic requirements of the urban information model. With the development of a city perception system, the whole large data of a city universe is increasingly realized, and flexible loading and LOD (layer-by-layer display) visualization of city space-time object grid data as required become inevitable choices.
The loading of the object data in the city space-time range according to the city space-time range may include: loading object data in the city space-time range according to the grid codes of the objects in the city space-time or the grid code combination of the objects in the city space-time; or loading object data in the city space-time range in a layered classification mode according to the types of the object data in the city space-time range.
For example, the object data in the city space-time is discretized into a new feature of the object data in the city space-time after the object data in the city space-time is grid-associated with the grid of the city space-time stereogram. On the basis of an urban space-time grid database indexed by object grid codes in urban space-time, a grid data engine can be utilized to realize flexible loading of object data in various urban space-time. For example, the object grid coding or grid coding combination in the city space-time can be loaded, and the object data type in the city space-time can be loaded in a layered classification mode. In practice, oblique photography data is loaded and displayed on an object grid frame in urban space-time, after a large-scale space panoramic base map is built, information such as a three-dimensional building body of a local target area is loaded and displayed according to an urban space-time range, wherein the three-dimensional building body data of the local target area can be oblique photography, a BIM (building information modeling) model, CAD (computer-aided design) conversion or a grid building body white mold is directly built, and the like, then a household grid model is displayed after entering the building body, and GIS (geographic information system) two-dimensional data is called as background information. Whether the city space-time object grids are displayed or not can be freely switched according to needs in the process of loading the object data in the city space-time range.
FIG. 4 is a diagram illustrating a multi-source heterogeneous data presentation module of a spatio-temporal grid data-based city information model according to an embodiment of the present disclosure; FIG. 5 is a diagram illustrating a multi-source heterogeneous data loading presentation effect of a spatio-temporal grid data-based city information model according to an embodiment of the present disclosure.
As shown in fig. 4, the CIM system may include a loading and displaying module for multi-source heterogeneous data (loading and displaying module for object data in city space-time), and mainly realizes real-time access display of object data in various city space-time. May include basic geographic information data, building model data, map street view data, oblique photography data, point cloud data, meteorological ocean data, manway data, video data, sensor data, socioeconomic data, internet data, magnetic field data, gravitational field data. The loading result effect graph is shown in fig. 5, which includes superposition of the urban spatiotemporal grid model and oblique photography effect, loading display of associated data, and the like.
Step S4: and when the object data in the city space-time associated with the city information model changes, the city information model can be automatically and synchronously associated based on the city space-time grid database to generate the digital twin panorama of the city space-time.
For example, in a city space-time grid data model, grid codes represent the locations of grids whose attributes are used to correlate object data (multi-source external data) in city space-time. When the air object data in the city changes, the city space-time grid index database automatically associates the change data of the objects in the city space-time through a dynamic synchronization mechanism, and real-time updating and dynamic convergence of the object data in the city space-time are realized. Therefore, the city information model based on the city space-time grid framework carries out positioning, qualitative and quantitative omnibearing marking and dynamic association on object data (multisource heterogeneous data) in the city space-time, and can realize a digital twin city panoramic dynamic image which takes the object grid coding in the city space-time as an organization link and immediately presents the change information of the object data in the city space-time, namely, a city information CIM platform of the city information model is generated.
FIG. 6 shows a flowchart of a method for modeling a city information model based on spatiotemporal grid data according to another embodiment of the present disclosure.
The city information model not only has three-dimensional visual display characteristics, but also has the internal capabilities of discrete extraction, distributable interaction, computable analysis and the like of object grid data in city space-time. The urban information model has a data driving model of 'visible, searchable and calculable' only by a mode that grids of an urban space-time stereogram bear object grid data in urban space-time.
As shown in fig. 6, after obtaining the city information model based on the city spatio-temporal grid data, the method may further include: step S5: and calculating and analyzing the service logic by using the urban information model based on the urban space-time grid database, and outputting a service logic calculation result.
FIG. 7 shows a further defined flowchart of step S5 according to an embodiment of the present disclosure.
As shown in fig. 7, calculating and analyzing the service logic using the city information model, and outputting the calculation result of the service logic may include:
step S51: sending a service logic calculation request to an urban space-time grid database, and selecting the urban space-time grid data calculation type according to the service logic calculation request;
step S52: and calling a city information model algorithm to calculate the selected city space-time grid data and outputting an analysis result of the city space-time grid data.
The urban information model algorithm library can comprise a Beidou grid algorithm library, a traditional data analysis model algorithm library and a spatial information analysis model algorithm library, and calculation analysis is carried out by combining a traditional data analysis model, a spatial information analysis model and the like on the basis of a Beidou grid algorithm model. The Beidou grid algorithm library can comprise a grid basic operation model algorithm, a grid space measurement model algorithm, a grid intersection difference compensation calculation model algorithm and a grid topological relation calculation model algorithm.
The city information model disclosed by the invention can provide grid data analysis service, and mainly comprises functional modules such as multi-factor statistical analysis, data trend analysis, data association analysis, model custom analysis, analysis report customization generation and the like, such as a grid data analysis result shown in fig. 8.
According to the city information model modeling method based on the space-time grid data, objects in city space-time are coded based on a GeoSOT model, and grid codes of the objects in the city space-time are obtained; correlating the grid codes of the objects in the city space-time with the object data in the city space-time to form a city space-time grid database; on the basis of the urban space-time grid database, loading object data in the urban space-time range according to the urban space-time range to obtain an urban information model based on the urban space-time grid data; and when the object data in the city space-time associated with the city information model changes, the city information model can be automatically and synchronously associated based on the city space-time grid database to generate the digital twin panorama of the city space-time. The method can solve the problem of data fusion of GIS combined with BIM, converts the traditional object-oriented data organization into the space-oriented data organization, and has the advantages of three-dimensional universe space, standardization of data space-time coding, dynamic visualization of full data, flexible activation of data service as required, openness of architecture model, data inheritance, updating dynamics, interaction real-time property and the like.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (9)
1. A city information model modeling method based on space-time grid data is characterized by comprising the following steps:
coding objects in city space-time based on a GeoSOT model to obtain grid codes of the objects in the city space-time;
correlating the grid codes of the objects in the city space-time with the object data in the city space-time to form a city space-time grid database;
on the basis of the urban space-time grid database, loading object data in the urban space-time range according to the urban space-time range to obtain an urban information model based on the urban space-time grid data;
and when the object data in the city space-time associated with the city information model changes, the city information model can be automatically and synchronously associated based on the city space-time grid database to generate the digital twin panorama of the city space-time.
2. The modeling method of a city information model according to claim 1, after obtaining the city information model based on the city spatio-temporal grid data, further comprising:
and calculating and analyzing business logic by using the urban information model based on the urban space-time grid database, and outputting a business logic calculation result.
3. The modeling method of urban information model according to claim 1, wherein said urban spatiotemporal mesh database is a database using mesh codes of objects in the urban spatiotemporal as primary keys, and ID information and attribute data of the objects in the urban spatiotemporal as attribute information.
4. The modeling method of a city information model according to claim 1, wherein loading object data within a city spatiotemporal range according to the city spatiotemporal range comprises: and loading the object data in the city space-time range according to the grid codes of the objects in the city space-time or the grid code combination of the objects in the city space-time.
5. The modeling method of a city information model according to claim 1, wherein loading object data within a city spatiotemporal range according to the city spatiotemporal range further comprises: and loading the object data in the city space-time range in a layered classification mode according to the object data types in the city space-time range.
6. The modeling method of urban information model according to claim 1, wherein said urban information model comprises a loading presentation module of object data in urban spatio-temporal.
7. The modeling method of urban information model according to claim 6, wherein said object data in urban spatiotemporal comprises: basic geographic information data, building model data, map street view data, oblique photography data, point cloud data, meteorological ocean data, human-house method data, video data, sensor data, social and economic data, internet data, magnetic field data and gravity field data.
8. The modeling method of a city information model according to claim 2, wherein calculating and analyzing business logic using the city information model comprises:
sending a service logic calculation request to the urban space-time grid database, and selecting the urban space-time grid data calculation type according to the service logic calculation request;
and calling the city information model algorithm to calculate the selected city space-time grid data and outputting an analysis result of the city space-time grid data.
9. The modeling method of a city information model according to claim 8, wherein said city information model algorithm comprises: a grid basic operation model algorithm, a grid space measurement model algorithm, a grid intersection and difference compensation calculation model algorithm and a grid topological relation model algorithm.
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