Three-dimensional property rights determination and delimitation modeling method, system and terminal in digital twin environment

Abstract

The present invention discloses a three-dimensional property rights confirmation and delimitation modeling method, system and terminal in a digital twin environment, the method comprising: establishing a digital twin property rights confirmation environment according to a geographical location, the digital twin property rights confirmation environment comprising: a data environment, an operating environment and a visualization environment; extracting three-dimensional boundary points from the data environment, forming a boundary point set according to the three-dimensional boundary points, using the operating environment to outline the connection relationship of the three-dimensional boundary points in the boundary point set to obtain a boundary point relationship set, using the visualization environment to perform spatial registration on the boundary point set to form a discrete boundary point set; constructing a boundary line according to the discrete boundary point set and the boundary point relationship set, constructing a boundary surface according to the boundary line, and constructing a three-dimensional property body according to the boundary surface; performing multi-dimensional relationship detection on the three-dimensional property body to obtain the target three-dimensional property body of the target user. The present invention can clearly show the boundary range of spatial rights and improve the efficiency of using field survey resources.

Description

Technical Field

[0001] The present invention relates to the technical field of three-dimensional property body modeling, and in particular to a three-dimensional property right confirmation and delimitation modeling method, system, terminal and computer-readable storage medium in a digital twin environment. Background Art

[0002] Land is essentially a natural existence in space, with a three-dimensional nature. The traditional two-dimensional land rights confirmation and demarcation method is no longer applicable. Three-dimensional cadastral has become an important technical means to support land space management. It can realize the spatial rights demarcation, modeling, storage and application of geographical elements. It takes the three-dimensional property right body as the core processing object to express the boundaries of spatial rights and interests and the relationship between the right bodies.

[0003] In the prior art, the methods for determining the land space rights and demarcation modeling to obtain the property rights mainly include: methods based on field surveys and investigations, rough pre-demarcation modeling methods based on remote sensing images, demarcation modeling methods based on building information model data, and demarcation modeling methods based on known facet sets.

[0004] However, the above methods have obvious shortcomings in the three-dimensional land space rights confirmation and demarcation modeling: the traditional method requires manual field survey and mapping, which consumes a lot of manpower and material resources and results in a waste of resources; the current technology is still mainly two-dimensional, and has great limitations in processing three-dimensional environments, such as only targeting building spaces or relying on pre-constructed data sets; as the land space rights confirmation and demarcation modeling work is extended to the field of natural resources, there is a lack of large-scale three-dimensional solutions, resulting in low efficiency and low reliability of land space rights confirmation and demarcation modeling.

[0005] Therefore, the prior art still needs to be improved and developed. Summary of the invention

[0006] The main purpose of the present invention is to provide a three-dimensional land rights confirmation and delimitation modeling method, system, terminal and computer-readable storage medium in a digital twin environment, aiming to solve the problem that in the prior art, when performing land rights confirmation and delimitation modeling, manual field surveying and mapping are required, which consumes a lot of manpower and material resources and results in a waste of resources. In addition, land rights confirmation and delimitation are still mainly two-dimensional, and the processing of three-dimensional environment still has great limitations, resulting in low efficiency and low reliability of land rights confirmation and delimitation modeling.

[0007] To achieve the above object, the present invention provides a three-dimensional right determination and delimitation modeling method in a digital twin environment, and the three-dimensional right determination and delimitation modeling method in a digital twin environment comprises the following steps:

[0008] Establishing a digital twin property rights confirmation environment according to the geographic location provided by the target user, wherein the digital twin property rights confirmation environment includes: a data environment, an operating environment, and a visualization environment;

[0009] Extracting three-dimensional boundary points from the data environment, forming a boundary point set based on the three-dimensional boundary points, outlining the connection relationship of the three-dimensional boundary points in the boundary point set using the operating environment to obtain a boundary point relationship set, and spatially registering the boundary point set using the visualization environment to form a discrete boundary point set;

[0010] Constructing boundary lines according to the discrete boundary point set and the boundary point relationship set, constructing boundary surfaces according to the boundary lines to obtain a boundary surface set, and constructing a three-dimensional property body according to the boundary surface set;

[0011] A multi-dimensional relationship detection of the spatiotemporal structure is performed on the three-dimensional property body to obtain the target three-dimensional property body of the target user.

[0012] Optionally, the three-dimensional property rights confirmation and delimitation modeling method in the digital twin environment, wherein the step of establishing the digital twin property rights confirmation environment according to the geographical location provided by the target user specifically includes:

[0013] Establish a sequence function layer set, obtain different types of source data under the geographical location, distribute the different types of source data to the corresponding layers of the sequence function layer set, and reduce the boundary of the layer to the size of a right confirmation unit to obtain the target sequence function layer set to complete the establishment of the data environment;

[0014] Wherein, the source data includes vector cadastral maps, two-dimensional image maps, DEM data, oblique photography data, commissioning table data, point cloud data, BIM data, ground penetrating radar data and multi-beam sonar observation data of the geographical location;

[0015] Obtaining the requirements for title confirmation and delimitation modeling, and integrating operation functions according to the requirements for title confirmation and delimitation modeling to complete the establishment of the operation environment;

[0016] The operation functions include multi-dimensional boundary point identification and selection function, layer association operation function, data value recording function and file export function;

[0017] A multi-viewport visualization linkage interface is established for different types of data in the target sequence function layer set through a visualization operation engine to complete the establishment of a visualization environment.

[0018] Optionally, the three-dimensional right confirmation and delimitation modeling method in the digital twin environment, wherein the three-dimensional boundary points are extracted from the data environment, a boundary point set is formed according to the three-dimensional boundary points, and the three-dimensional boundary points in the boundary point set are connected and outlined by using the operating environment to obtain the boundary point relationship set, specifically includes:

[0019] Identify boundary points from the data environment by using a controllable ray detection method, extract valid adjacent points as candidate points, calculate the average value or median value of all the candidate points, and determine the three-dimensional boundary points according to the average value or the median value;

[0020] The local coordinate values ​​of the three-dimensional boundary points are obtained, a boundary point set is formed according to the local coordinate values ​​of the three-dimensional boundary points, the connection relationship between the three-dimensional boundary points in the boundary point set is outlined by using the operating environment, the outlined connection relationship is saved, and a boundary point relationship set is obtained.

[0021] Optionally, the three-dimensional right determination and delimitation modeling method in the digital twin environment, wherein the use of the visualization environment to spatially register the boundary point set to form a discrete boundary point set, specifically includes:

[0022] Acquire any two boundary points in the boundary point set as the first boundary point and the second boundary point, perform spatial registration on the first boundary point and the second boundary point through the visual linkage interface, and determine whether the first boundary point and the second boundary point have a co-located boundary area;

[0023] If the first boundary point and the second boundary point have a co-located boundary area, an affine transformation method is used to obtain a transformation matrix between the first boundary point and the second boundary point, and the coordinates of the second boundary point are converted to the local coordinate system of the first boundary point according to the transformation matrix, until all boundary points in the boundary point set are spatially aligned to form a discrete boundary point set.

[0024] Optionally, the three-dimensional property rights determination and delimitation modeling method in the digital twin environment, wherein the step of constructing boundary lines according to the discrete boundary point set and the boundary point relationship set, constructing boundary surfaces according to the boundary lines, obtaining a boundary surface set, and constructing a three-dimensional property rights body according to the boundary surface set, specifically includes:

[0025] Expanding the discrete boundary point set in the visualization environment, and constructing a plurality of boundary lines according to the discrete boundary point set and the boundary point relationship set;

[0026] De-duplication, cross-elimination and boundary line reconnection operations are performed on the plurality of boundary lines to obtain a boundary line set, and all boundary lines in the boundary line set are sequentially connected by a method of adjacent outer envelope to form a boundary surface set;

[0027] Calculate the coverage of the boundary surface set, classify the scales according to the coverage to obtain boundary surfaces of different scale ranges, and perform surface reduction processing on the boundary surfaces of different scale ranges according to the requirements of the property rights confirmation unit to form a reduced boundary surface set, and construct a three-dimensional property right body according to the reduced boundary surface set.

[0028] Optionally, in the three-dimensional right determination and delimitation modeling method in the digital twin environment, the multidimensional relationship detection includes point-line relationship detection, line-surface relationship detection and topological relationship detection;

[0029] The multi-dimensional relationship detection of the spatiotemporal structure of the three-dimensional property right body specifically includes:

[0030] Establish a test result storage set, determine whether each point in the three-dimensional property body constitutes two ends of the line, if not, generate a point-line relationship detection unstable record, and add the point-line relationship detection unstable record to the test result storage set;

[0031] Determine whether each line in the three-dimensional property body constitutes an edge of a surface, and if not, generate an unstable record of line-surface relationship detection, and add the unstable record of line-surface relationship detection to the detection result storage set;

[0032] Determine whether the line direction and the surface direction in the three-dimensional property body are correct, and if not, generate a topological relationship detection unstable record, and add the topological relationship detection unstable record to the detection result storage set;

[0033] Performing a structural stability test on the three-dimensional property body according to the test result storage set, and if the test result storage set is empty, the structural stability test result of the three-dimensional property body is passed;

[0034] If the detection result storage set is not empty, the structural stability detection result of the three-dimensional property body is failed, and the multi-dimensional relationship repair of the three-dimensional property body is performed according to the unstable records existing in the detection result storage set.

[0035] Optionally, the three-dimensional property rights confirmation and delimitation modeling method in the digital twin environment, wherein the structural stability test result of the three-dimensional property right body is passed, further comprises:

[0036] The three-dimensional property body is subjected to twin environment verification and matching. If the twin environment verification and matching result fails, the three-dimensional boundary points are re-determined. If the twin environment verification and matching result passes, the target three-dimensional property body of the target user is obtained.

[0037] In addition, to achieve the above-mentioned purpose, the present invention also provides a three-dimensional right determination and delimitation modeling system in a digital twin environment, wherein the three-dimensional right determination and delimitation modeling system in a digital twin environment includes:

[0038] A digital twin property rights confirmation environment construction module is used to establish a digital twin property rights confirmation environment according to the geographic location provided by the target user, and the digital twin property rights confirmation environment includes: a data environment, an operating environment, and a visualization environment;

[0039] A discrete boundary point generation module is used to extract three-dimensional boundary points from the data environment, form a boundary point set based on the three-dimensional boundary points, use the operating environment to outline the connection relationship of the three-dimensional boundary points in the boundary point set to obtain a boundary point relationship set, and use the visualization environment to perform spatial registration on the boundary point set to form a discrete boundary point set;

[0040] A three-dimensional property body construction module is used to construct boundary lines according to the discrete boundary point set and the boundary point relationship set, construct boundary surfaces according to the boundary lines to obtain a boundary surface set, and construct a three-dimensional property body according to the boundary surface set;

[0041] The three-dimensional property body detection module is used to perform multi-dimensional relationship detection of the spatiotemporal structure of the three-dimensional property body to obtain the target three-dimensional property body of the target user.

[0042] In addition, to achieve the above-mentioned purpose, the present invention also provides a terminal, wherein the terminal includes: a memory, a processor, and a three-dimensional right confirmation and delimitation modeling program in a digital twin environment stored in the memory and run on the processor, and when the three-dimensional right confirmation and delimitation modeling program in the digital twin environment is executed by the processor, the steps of the three-dimensional right confirmation and delimitation modeling method in the digital twin environment as described above are implemented.

[0043] In addition, to achieve the above-mentioned objectives, the present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a three-dimensional title confirmation and delimitation modeling program in a digital twin environment, and when the three-dimensional title confirmation and delimitation modeling program in a digital twin environment is executed by a processor, the steps of the three-dimensional title confirmation and delimitation modeling method in a digital twin environment as described above are implemented.

[0044] In the present invention, a digital twin property rights confirmation environment is established according to the geographical location provided by the target user, and the digital twin property rights confirmation environment includes: a data environment, an operating environment, and a visualization environment; three-dimensional boundary points are extracted from the data environment, and a boundary point set is formed according to the three-dimensional boundary points. The three-dimensional boundary points of the boundary point set are connected by using the operating environment to outline the relationship, and a boundary point relationship set is obtained. The boundary point set is spatially aligned by using the visualization environment to form a discrete boundary point set; boundary lines are constructed according to the discrete boundary point set and the boundary point relationship set, boundary surfaces are constructed according to the boundary lines, and three-dimensional property rights bodies are constructed according to the boundary surfaces; multi-dimensional relationship detection is performed on the three-dimensional property rights body to obtain the target three-dimensional property rights body of the target user. The present invention collects, extracts, and constructs three-dimensional property rights bodies based on the digital twin environment, which can clearly show the boundary range of spatial rights and improve the efficiency of field survey resource utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a flow chart of the three-dimensional right confirmation and delimitation modeling method in the digital twin environment of the present invention;

[0046] Figure 2 It is a flowchart of a preferred embodiment of the three-dimensional right determination and delimitation modeling method in the digital twin environment of the present invention;

[0047] Figure 3 It is an outer envelope polygon diagram of the projection range of the right confirmation unit in the three-dimensional right confirmation and delimitation modeling method under the digital twin environment of the present invention;

[0048] Figure 4 It is a schematic diagram of a controllable quantity ray detection method in a three-dimensional right determination and delimitation modeling method in a digital twin environment of the present invention;

[0049] Figure 5 It is a schematic diagram of deduplication of boundary lines in the three-dimensional right confirmation and delimitation modeling method in the digital twin environment of the present invention;

[0050] Figure 6 It is a schematic diagram of cross elimination in the three-dimensional right confirmation and delimitation modeling method in the digital twin environment of the present invention;

[0051] Figure 7 It is a schematic diagram of the reconnection of boundary lines in the three-dimensional right determination and delimitation modeling method in the digital twin environment of the present invention;

[0052] Figure 8 It is a schematic diagram of the proximity outer envelope method in the three-dimensional right determination and delimitation modeling method in the digital twin environment of the present invention;

[0053] Fig. 9 It is a schematic diagram of the surface reduction process to form a reduced-volume boundary surface set in the three-dimensional right confirmation and delimitation modeling method in the digital twin environment of the present invention;

[0054] Fig.10It is a structural diagram of a preferred embodiment of a three-dimensional right determination and delimitation modeling system in a digital twin environment of the present invention;

[0055] Fig.11 Schematic diagram of the operating environment of a preferred embodiment of the terminal of the present invention. DETAILED DESCRIPTION

[0056] The present application provides a three-dimensional right determination and delimitation modeling method and related equipment in a digital twin environment. In order to make the purpose, technical solution and effect of the present application clearer and more specific, the present application is further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present application and are not used to limit the present application.

[0057] It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as those generally understood by those skilled in the art to which this application belongs. It should also be understood that terms such as those defined in general dictionaries should be understood to have meanings consistent with those in the context of the prior art, and will not be interpreted with idealized or overly formal meanings unless specifically defined as here.

[0058] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0059] The three-dimensional right determination and delimitation modeling method in the digital twin environment described in the preferred embodiment of the present invention is as follows: Figure 1 and Figure 2 As shown, the three-dimensional right determination and delimitation modeling method in the digital twin environment includes the following steps:

[0060] Step S10: Establish a digital twin property rights confirmation environment based on the geographic location provided by the target user, wherein the digital twin property rights confirmation environment includes: a data environment, an operating environment, and a visualization environment.

[0061] Specifically, a sequence function layer set is established, different types of source data under the geographical location are obtained, the different types of source data are distributed to the corresponding layers of the sequence function layer set, and the boundaries of the layers are reduced to the size of a title confirmation unit to obtain a target sequence function layer set to complete the establishment of the data environment; wherein the source data include vector cadastral maps, two-dimensional image maps, DEM (Digital Elevation Model) data, oblique photography data, commissioning table data, point cloud data, BIM (Building Information Modeling) data, ground penetrating radar data and multi-beam sonar observation data of the geographical location, and the source data can be provided by the official or entrusted to a third-party agent.

[0062] It can be understood that in this embodiment, a set of sequential functional layers is established, different types of source data under the geographical location are obtained, and different types of source data are distributed to corresponding layers. If there are several copies of data, several layers are generated (if there are 2 copies of the vector cadastral map, 2 layers are generated), that is, the data required for property rights and delimitation modeling are integrated in a layered manner to establish a unified management directory. Furthermore, the environment is limited to the outer envelope polygon of the projection range of a property rights unit to reduce the boundary of the layer to the size of a property rights unit, and the target sequential functional layer set is obtained to complete the establishment of the data environment. Among them, the boundary of the layer will be determined when the data is imported, because in general, the range of a piece of data will be much larger than the range of a property rights unit, so it is necessary to reduce it to the range of a property rights unit for operation.

[0063] like Figure 3 As shown in the figure, the calculation method of the outer envelope polygon of the title confirmation unit projection range (that is, reducing the boundary of the layer to the size of a title confirmation unit) is as follows: for any layer in the layer set The plane image is projected on the XY plane to obtain the plane image, and the plane image on the XY plane is divided into XY grids at the meter level to form n-row and m-column grids. It is determined whether each grid has both non-empty pixel values ​​and color pixel values, and these grids are recorded as the boundary grids of the outer envelope polygon. , the polygons formed by connecting the boundary grids are obtained to obtain the outer envelope polygon Polygon.

[0064] Furthermore, the requirements for title determination and delimitation modeling are obtained, and the operation functions are integrated according to the requirements for title determination and delimitation modeling to complete the establishment of the operation environment. The operation functions include multi-dimensional boundary point identification and selection functions, layer association operation functions, data value recording functions, and file export functions.

[0065] Among them, the multi-dimensional in the multi-dimensional boundary point recognition and picking function refers to the ability to pick coordinates in two or three dimensions. The layer association operation function refers to the function of linking other layers when operating a single layer, such as picking a layer. The spatial position of a layer will be reflected in other layers. The data value recording function is the function of recording the boundary point information in text form. The file export function is the function of exporting data value text and three-dimensional property model based on the secondary development function of the software.

[0066] Furthermore, a multi-viewport visualization linkage interface is established for different types of data in the target sequence function layer set through a visualization operation engine to complete the establishment of a visualization environment.

[0067] In this embodiment, it refers to developing a multi-viewport visualization linkage function with the help of visualization operation engines such as Unity3D, CryEngine, and Unreal to complete the establishment of a visualization environment. After the visualization environment is established, multiple layers can be tiled on the display interface without overlapping. The purpose of establishing a data environment, an operation environment, and a visualization environment is to provide a basis for subsequent operations.

[0068] Step S20, extracting three-dimensional boundary points from the data environment, forming a boundary point set based on the three-dimensional boundary points, using the operating environment to outline the connection relationship of the three-dimensional boundary points in the boundary point set to obtain a boundary point relationship set, and using the visualization environment to spatially align the boundary point set to form a discrete boundary point set.

[0069] The extracting of three-dimensional boundary points from the data environment, forming a boundary point set according to the three-dimensional boundary points, and outlining the connection relationship of the three-dimensional boundary points in the boundary point set by using the operating environment to obtain the boundary point relationship set specifically includes:

[0070] The local coordinate values ​​of the three-dimensional boundary points are obtained, a boundary point set is formed according to the local coordinate values ​​of the three-dimensional boundary points, the connection relationship between the three-dimensional boundary points in the boundary point set is outlined by using the operating environment, the outlined connection relationship is saved, and a boundary point relationship set is obtained.

[0071] like Figure 4 As shown, in this embodiment, the process of implementing boundary point recognition from the data environment by using the controllable ray detection method is as follows: select any layer If the data in the layer is two-dimensional data, circle the possible boundary point area, and project t rays perpendicular to the plane into the circle (corresponding to Figure 4 (a) in the figure), get the intersection point set of the ray and the area , find the average coordinates of these intersection points , taking Ave as the coordinate of the boundary point BoundaryPoint, where, , and Respectively represent the horizontal coordinate, vertical coordinate and vertical coordinate of the boundary point BoundaryPoint; if the data in the layer is three-dimensional data, first stretch it according to the outer envelope polygon Polygon to obtain the outer envelope cylindrical body of the three-dimensional data (corresponding to Figure 4 In (b) of the figure, circle the possible boundary point area, project rays from the outer cylinder boundary into the circle, and eliminate rays that fail to intersect due to occlusion, and obtain The root effective ray and the intersection point set between the ray and the area (correspond Figure 4 (c) in the figure), find the average coordinates of these intersection points , as the coordinates of the boundary point BoundaryPoint.

[0072] Furthermore, the calculation method of the number of rays t is: in the two-dimensional case, , Refers to the total number of pixels in the Area. Refers to the number of two-dimensional corners in Area. The number of corners is calculated manually. In the three-dimensional case, , Refers to the surface area of ​​Area. Refers to the area blocked by the Area. Refers to the number of three-dimensional corners in the Area, which is calculated manually.

[0073] Among them, the valid adjacent point means that the aforementioned process will mark multiple Area areas, and each Area area will generate an adjacent point, which will be compared and selected in the visual interface to determine whether it is a valid adjacent point.

[0074] Further, the local coordinate values ​​of the three-dimensional boundary points are obtained, and a boundary point set is formed according to the local coordinate values ​​of the three-dimensional boundary points, wherein the local coordinate values ​​of the boundary points are represented as (X, Y, Z) in the data source coordinate system, and in the two-dimensional case, Z is recorded as 0. The connection relationship between the three-dimensional boundary points in the boundary point set is outlined using the operating environment to form a connection relationship, and preferably, the relationship record includes the point number and the order of the connection line.

[0075] Furthermore, the utilizing the visualization environment to spatially register the set of boundary points to form a discrete set of boundary points specifically includes:

[0076] Acquire any two boundary points in the boundary point set as the first boundary point and the second boundary point, perform spatial registration on the first boundary point and the second boundary point through the visual linkage interface, and determine whether the first boundary point and the second boundary point have a co-located boundary area;

[0077] If the first boundary point and the second boundary point have a co-located boundary area, an affine transformation method is used to obtain a transformation matrix between the first boundary point and the second boundary point, and the coordinates of the second boundary point are converted to the local coordinate system of the first boundary point according to the transformation matrix, until all boundary points in the boundary point set are spatially aligned to form a discrete boundary point set.

[0078] It can be understood that the coordinate transformation process is expressed as: ,in, represents the transformed coordinates, represents the coordinates before conversion, that is, the coordinates of the second boundary point, M represents the translation value, and Trans represents the transformation matrix.

[0079] Step S30: construct boundary lines according to the discrete boundary point set and the boundary point relationship set, construct boundary surfaces according to the boundary lines to obtain a boundary surface set, and construct a three-dimensional property body according to the boundary surface set.

[0080] Specifically, the discrete boundary point set is expanded in the visualization environment, and a plurality of boundary lines are constructed according to the discrete boundary point set and the boundary point relationship set.

[0081] In this embodiment, the boundary point relationship set is traversed, and corresponding boundary points are searched in the discrete boundary point set, and lines are connected in a visual environment to construct a plurality of boundary lines.

[0082] Furthermore, multiple boundary lines are deduplicated, cross-removed and reconnected to obtain a boundary line set, and all boundary lines in the boundary line set are connected in sequence through the method of adjacent outer envelope to form a boundary surface set.

[0083] like Figure 5 As shown in the figure, the process of removing duplicate boundary lines is as follows: setting the adjacent error distance and proximity error angle , traverse the multiple boundary lines two by two, first calculate the angle between the two lines ,like , then further calculate the distance between the two lines ,like , then delete any one of the two lines.

[0084] like Figure 6As shown, the cross elimination process is: traverse the plurality of boundary lines in pairs, and when lines intersect, manually compare the actual data and select one of the lines to be eliminated.

[0085] like Figure 7 As shown, the boundary line reconnection process is: traverse each line of the plurality of boundary lines , the query is composed The boundary point and , further from the boundary point relationship set Query boundary points and If other connections appear and for line start points only, or and Only the end point of the line, in these two cases, reconnect in the reverse direction of the original direction .

[0086] Furthermore, if Figure 8 As shown, the process of connecting all the boundary lines in the boundary line set in sequence by the method of adjacent outer envelope to form a boundary surface set is: randomly selecting the boundary line set A boundary line in , the query is composed The boundary point and , further from the boundary point relationship set Query boundary points Connection point , continue querying Connection point ,until When the time is up, a boundary surface is formed, and finally a boundary surface set is formed. .

[0087] Furthermore, the coverage of the boundary surface set is calculated, and scale classification is performed according to the coverage to obtain boundary surfaces of different scale ranges. According to the requirements of the property rights confirmation unit, the boundary surfaces of different scale ranges are reduced to form a reduced boundary surface set, and a three-dimensional property body is constructed based on the reduced boundary surface set.

[0088] Specifically, the scale classification adopts a coarse classification method, that is, it is divided into three levels: large, medium and small. Large-scale objects refer to large natural resource units such as mountains and forests, medium-scale objects refer to units such as land and blocks in cities, and small-scale objects refer to units such as buildings and houses. In the requirements for the right confirmation unit, the boundary facets of large, medium and small scale units should be controlled within a certain threshold. The number of boundary facet sets of most large-scale units is too large. Therefore, in this embodiment, the boundary faces of different scale ranges are reduced.

[0089] Among them, the process of reducing the surface to form a reduced boundary surface set is as follows: Fig. 9 Shown: Setting the coplanarity threshold , retrieve the boundary face set All adjacent boundary surfaces in , find the perpendicular vector between two adjacent surfaces and , record the angle between the two vectors as the coplanarity value ,for In the case of , the two surfaces are merged into one surface. The merging methods include direct merging and point deletion merging. After completing this process, a set of reduced boundary surfaces is formed. .

[0090] Furthermore, through the software and engine functions of the digital twin property rights environment, the reduced volume boundary surface collection The output is a three-dimensional property body BodyModel.

[0091] Step S40: Perform multi-dimensional relationship detection of the spatiotemporal structure on the three-dimensional property body to obtain the target three-dimensional property body of the target user.

[0092] It can be understood that the multi-dimensional relationship detection includes point-line relationship detection, line-surface relationship detection and topological relationship detection.

[0093] Specifically, first establish a test result storage collection , used to store the test results.

[0094] Furthermore, it is determined whether each point in the three-dimensional property body constitutes the two ends of the line. If not, a point-line relationship detection instability record is generated and the point-line relationship detection instability record is added to the detection result storage set. Point-line relationship detection is to determine whether each point in the property body constitutes the two ends of the line. If not, an abnormal point is marked. Detect unstable records for point-line relationships , add unstable records of point-line relationship detection to .

[0095] Determine whether each line in the three-dimensional property body constitutes the edge of the surface. If not, generate an unstable record of line-surface relationship detection, and add the unstable record of line-surface relationship detection to the detection result storage set. Line-surface relationship detection is to determine whether each line in the property body constitutes the edge of the surface. If not, mark the abnormal line N as an unstable record of line-surface relationship detection. , add unstable records of line-surface relationship detection to .

[0096] Determine whether the line direction and the surface direction in the three-dimensional property body are correct. If not, generate a topological relationship detection unstable record, and add the topological relationship detection unstable record to the detection result storage set. The topological relationship detection unstable record includes a line direction unstable record. Unstable surface direction record ; Correct line direction means that the lines that make up a surface are all in the same direction, and correct surface direction means that the inner directions of all surfaces point to the inside of the property body. For line directions and surface directions that do not meet the requirements (abnormal), the abnormal line N is marked as an unstable line direction record. , mark the abnormal surface Records for unstable surface direction ,Will and join in .

[0097] The structural stability test of the three-dimensional property body is performed according to the test result storage set. If the test result storage set is empty, the structural stability test result of the three-dimensional property body is passed. Is it empty? If it is not empty, it is a three-dimensional property body with an unstable structure.

[0098] If the detection result storage set is not empty, the structural stability detection result of the three-dimensional property body is not passed, and the multi-dimensional relationship repair of the three-dimensional property body is performed according to the unstable records in the detection result storage set. In the collection Item, the outlier point Delete or move To the nearest line. Line-surface relationship repair is to search In the collection Item, delete the abnormal line N or move N to the nearest surface. Topological relationship repair is to retrieve In the collection and Item, the abnormal line N and the abnormal surface Do the reverse processing in the direction of .

[0099] Furthermore, the structural stability test result of the three-dimensional property body is passed, and then it also includes:

[0100] The three-dimensional property body is subjected to twin environment verification and matching. If the twin environment verification and matching result fails, the three-dimensional boundary points are re-determined. If the twin environment verification and matching result passes, the target three-dimensional property body of the target user is obtained.

[0101] It can be understood that in the twin environment verification and matching, the situations where the twin environment verification and matching fails include misalignment, excess and large morphological differences, and all operations will return to the process of determining the three-dimensional boundary points, and redetermine the three-dimensional boundary points to regenerate the three-dimensional property body.

[0102] Among them, dislocation refers to the situation where the spatial structure of the property right body and the property right confirmation unit in the twin environment are intertwined. Exceeding refers to the size of the property right body exceeding the size of the property right confirmation unit space in the twin environment. Large morphological differences refer to the geometric shape of the property right body and the property right confirmation unit being dissimilar.

[0103] The advantages of the present invention are: a three-dimensional land rights confirmation and demarcation modeling method in a digital twin environment is proposed, which can solve the defects of waste of field survey resources, two-dimensional limitations and insufficient multi-scale property rights space confirmation modeling methods in traditional methods. Secondly, the method described in the present invention provides a complete process, can accurately construct a three-dimensional property body, can clearly show the boundary range of spatial rights, can be oriented to practical applications, and greatly improves the efficiency and reliability of land rights confirmation and demarcation.

[0104] Furthermore, if Fig.10 As shown, based on the above-mentioned three-dimensional right confirmation and delimitation modeling method in a digital twin environment, the present invention also provides a three-dimensional right confirmation and delimitation modeling system in a digital twin environment, wherein the three-dimensional right confirmation and delimitation modeling system in a digital twin environment includes:

[0105] A digital twin property rights confirmation environment construction module 61 is used to establish a digital twin property rights confirmation environment according to the geographic location provided by the target user, and the digital twin property rights confirmation environment includes: a data environment, an operating environment, and a visualization environment;

[0106] A discrete boundary point generation module 62 is used to extract three-dimensional boundary points from the data environment, form a boundary point set based on the three-dimensional boundary points, use the operating environment to outline the connection relationship of the three-dimensional boundary points in the boundary point set to obtain a boundary point relationship set, and use the visualization environment to perform spatial registration on the boundary point set to form a discrete boundary point set;

[0107] A three-dimensional property body construction module 63 is used to construct boundary lines according to the discrete boundary point set and the boundary point relationship set, construct boundary surfaces according to the boundary lines to obtain a boundary surface set, and construct a three-dimensional property body according to the boundary surface set;

[0108] The three-dimensional property body detection module 64 is used to perform multi-dimensional relationship detection of the spatiotemporal structure of the three-dimensional property body to obtain the target three-dimensional property body of the target user.

[0109] Furthermore, if Fig.11 As shown, based on the three-dimensional right confirmation and delimitation modeling method and system in the above-mentioned digital twin environment, the present invention also provides a terminal accordingly, and the terminal includes a processor 10, a memory 20 and a display 30. Fig.11 Only some components of the terminal are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0110] In some embodiments, the memory 20 may be an internal storage unit of the terminal, such as a hard disk or memory of the terminal. In other embodiments, the memory 20 may also be an external storage device of the terminal, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the terminal. Further, the memory 20 may also include both an internal storage unit of the terminal and an external storage device. The memory 20 is used to store application software and various types of data installed on the terminal, such as the program code of the installation terminal. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, a three-dimensional right confirmation and delimitation modeling program 40 in a digital twin environment is stored on the memory 20, and the three-dimensional right confirmation and delimitation modeling program 40 in the digital twin environment can be executed by the processor 10, thereby realizing the three-dimensional right confirmation and delimitation modeling method in the digital twin environment in this application.

[0111] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run the program code or process data stored in the memory 20, such as executing the three-dimensional right confirmation and delimitation modeling method in the digital twin environment.

[0112] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 30 is used to display information on the terminal and to display a visual user interface. The components 10-30 of the terminal communicate with each other via a system bus.

[0113] In one embodiment, when the processor 10 executes the three-dimensional right determination and delimitation modeling program 40 in the digital twin environment in the memory 20, the following steps are implemented:

[0114] Establishing a digital twin property rights confirmation environment according to the geographic location provided by the target user, wherein the digital twin property rights confirmation environment includes: a data environment, an operating environment, and a visualization environment;

[0115] Extracting three-dimensional boundary points from the data environment, forming a boundary point set based on the three-dimensional boundary points, outlining the connection relationship of the three-dimensional boundary points in the boundary point set using the operating environment to obtain a boundary point relationship set, and spatially registering the boundary point set using the visualization environment to form a discrete boundary point set;

[0116] Constructing boundary lines according to the discrete boundary point set and the boundary point relationship set, constructing boundary surfaces according to the boundary lines to obtain a boundary surface set, and constructing a three-dimensional property body according to the boundary surface set;

[0117] A multi-dimensional relationship detection of the spatiotemporal structure is performed on the three-dimensional property body to obtain the target three-dimensional property body of the target user.

[0118] The establishment of a digital twin property rights confirmation environment based on the geographic location provided by the target user specifically includes:

[0119] Establish a sequence function layer set, obtain different types of source data under the geographical location, distribute the different types of source data to the corresponding layers of the sequence function layer set, and reduce the boundary of the layer to the size of a right confirmation unit to obtain the target sequence function layer set to complete the establishment of the data environment;

[0120] Wherein, the source data includes vector cadastral maps, two-dimensional image maps, DEM data, oblique photography data, commissioning table data, point cloud data, BIM data, ground penetrating radar data and multi-beam sonar observation data of the geographical location;

[0121] Obtaining the requirements for title confirmation and delimitation modeling, and integrating operation functions according to the requirements for title confirmation and delimitation modeling to complete the establishment of the operation environment;

[0122] The operation functions include multi-dimensional boundary point identification and selection function, layer association operation function, data value recording function and file export function;

[0123] A multi-viewport visualization linkage interface is established for different types of data in the target sequence function layer set through a visualization operation engine to complete the establishment of a visualization environment.

[0124] The extracting of three-dimensional boundary points from the data environment, forming a boundary point set according to the three-dimensional boundary points, and outlining the connection relationship of the three-dimensional boundary points in the boundary point set using the operating environment to obtain the boundary point relationship set specifically includes:

[0125] Identify boundary points from the data environment by using a controllable ray detection method, extract valid adjacent points as candidate points, calculate the average value or median value of all the candidate points, and determine the three-dimensional boundary points according to the average value or the median value;

[0126] The local coordinate values ​​of the three-dimensional boundary points are obtained, a boundary point set is formed according to the local coordinate values ​​of the three-dimensional boundary points, the connection relationship between the three-dimensional boundary points in the boundary point set is outlined by using the operating environment, the outlined connection relationship is saved, and a boundary point relationship set is obtained.

[0127] The step of using the visualization environment to spatially register the set of boundary points to form a discrete set of boundary points specifically includes:

[0128] Acquire any two boundary points in the boundary point set as the first boundary point and the second boundary point, perform spatial registration on the first boundary point and the second boundary point through the visual linkage interface, and determine whether the first boundary point and the second boundary point have a co-located boundary area;

[0129] If the first boundary point and the second boundary point have a co-located boundary area, an affine transformation method is used to obtain a transformation matrix between the first boundary point and the second boundary point, and the coordinates of the second boundary point are converted to the local coordinate system of the first boundary point according to the transformation matrix, until all boundary points in the boundary point set are spatially aligned to form a discrete boundary point set.

[0130] The step of constructing boundary lines according to the discrete boundary point set and the boundary point relationship set, constructing boundary surfaces according to the boundary lines to obtain a boundary surface set, and constructing a three-dimensional property body according to the boundary surface set specifically includes:

[0131] Expanding the discrete boundary point set in the visualization environment, and constructing a plurality of boundary lines according to the discrete boundary point set and the boundary point relationship set;

[0132] De-duplication, cross-elimination and boundary line reconnection operations are performed on the plurality of boundary lines to obtain a boundary line set, and all boundary lines in the boundary line set are sequentially connected by a method of adjacent outer envelope to form a boundary surface set;

[0133] Calculate the coverage of the boundary surface set, classify the scales according to the coverage to obtain boundary surfaces of different scale ranges, and perform surface reduction processing on the boundary surfaces of different scale ranges according to the requirements of the property rights confirmation unit to form a reduced boundary surface set, and construct a three-dimensional property right body according to the reduced boundary surface set.

[0134] Wherein, the multidimensional relationship detection includes point-line relationship detection, line-surface relationship detection and topological relationship detection;

[0135] The multi-dimensional relationship detection of the spatiotemporal structure of the three-dimensional property right body specifically includes:

[0136] Establish a test result storage set, determine whether each point in the three-dimensional property body constitutes two ends of the line, if not, generate a point-line relationship detection unstable record, and add the point-line relationship detection unstable record to the test result storage set;

[0137] Determine whether each line in the three-dimensional property body constitutes an edge of a surface, and if not, generate an unstable record of line-surface relationship detection, and add the unstable record of line-surface relationship detection to the detection result storage set;

[0138] Determine whether the line direction and the surface direction in the three-dimensional property body are correct, and if not, generate a topological relationship detection unstable record, and add the topological relationship detection unstable record to the detection result storage set;

[0139] Performing a structural stability test on the three-dimensional property body according to the test result storage set, and if the test result storage set is empty, the structural stability test result of the three-dimensional property body is passed;

[0140] If the detection result storage set is not empty, the structural stability detection result of the three-dimensional property body is failed, and the multi-dimensional relationship repair of the three-dimensional property body is performed according to the unstable records existing in the detection result storage set.

[0141] Wherein, the structural stability test result of the three-dimensional property body is passed, and then it also includes:

[0142] The three-dimensional property body is subjected to twin environment verification and matching. If the twin environment verification and matching result fails, the three-dimensional boundary points are re-determined. If the twin environment verification and matching result passes, the target three-dimensional property body of the target user is obtained.

[0143] In summary, the present invention provides a three-dimensional property rights confirmation and delimitation modeling method and related equipment in a digital twin environment, the method comprising: establishing a digital twin property rights confirmation environment according to the geographical location provided by the target user, the digital twin property rights confirmation environment comprising: a data environment, an operating environment and a visualization environment; extracting three-dimensional boundary points from the data environment, forming a boundary point set according to the three-dimensional boundary points, using the operating environment to outline the connection relationship of the three-dimensional boundary points of the boundary point set to obtain a boundary point relationship set, using the visualization environment to perform spatial registration on the boundary point set to form a discrete boundary point set; constructing boundary lines according to the discrete boundary point set and the boundary point relationship set, constructing boundary surfaces according to the boundary lines, and constructing three-dimensional property rights bodies according to the boundary surfaces; performing multi-dimensional relationship detection on the three-dimensional property rights bodies to obtain the target three-dimensional property rights bodies of the target user. The present invention collects, extracts and constructs three-dimensional property rights bodies based on the digital twin environment, can clearly show the boundary range of spatial rights, can be oriented to practical applications, and can solve the defects of waste of field industry adjustment resources, two-dimensional limitations and insufficient multi-scale property rights space confirmation modeling methods in traditional methods.

[0144] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or terminal including the element.

[0145] Of course, those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present invention can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0146] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A three-dimensional right determination and delimitation modeling method in a digital twin environment, characterized in that: The three-dimensional right determination and delimitation modeling method in the digital twin environment includes: Establishing a digital twin property rights confirmation environment according to the geographic location provided by the target user, wherein the digital twin property rights confirmation environment includes: a data environment, an operating environment, and a visualization environment; Extracting three-dimensional boundary points from the data environment, forming a boundary point set based on the three-dimensional boundary points, outlining the connection relationship of the three-dimensional boundary points in the boundary point set using the operating environment to obtain a boundary point relationship set, and spatially registering the boundary point set using the visualization environment to form a discrete boundary point set; The extracting of three-dimensional boundary points from the data environment, forming a boundary point set according to the three-dimensional boundary points, and outlining the connection relationship of the three-dimensional boundary points in the boundary point set by using the operating environment to obtain the boundary point relationship set specifically includes: Identify boundary points from the data environment by using a controllable ray detection method, extract valid adjacent points as candidate points, calculate the average value or median value of all the candidate points, and determine the three-dimensional boundary points according to the average value or the median value; Acquire local coordinate values ​​of the three-dimensional boundary points, form a boundary point set according to the local coordinate values ​​of the three-dimensional boundary points, use the operating environment to outline the connection relationship between the three-dimensional boundary points in the boundary point set, save the outlined connection relationship, and obtain a boundary point relationship set; Constructing boundary lines according to the discrete boundary point set and the boundary point relationship set, constructing boundary surfaces according to the boundary lines to obtain a boundary surface set, and constructing a three-dimensional property body according to the boundary surface set; A multi-dimensional relationship detection of the spatiotemporal structure is performed on the three-dimensional property body to obtain the target three-dimensional property body of the target user.

2. The three-dimensional right determination and delimitation modeling method in a digital twin environment according to claim 1 is characterized in that: The digital twin property rights confirmation environment is established according to the geographic location provided by the target user, specifically including: Establish a sequence function layer set, obtain different types of source data under the geographical location, distribute the different types of source data to the corresponding layers of the sequence function layer set, and reduce the boundary of the layer to the size of a right confirmation unit to obtain the target sequence function layer set to complete the establishment of the data environment; Wherein, the source data includes vector cadastral maps, two-dimensional image maps, DEM data, oblique photography data, commissioning table data, point cloud data, BIM data, ground penetrating radar data and multi-beam sonar observation data of the geographical location; Obtaining the requirements for title confirmation and delimitation modeling, and integrating operation functions according to the requirements for title confirmation and delimitation modeling to complete the establishment of the operation environment; The operation functions include multi-dimensional boundary point identification and selection function, layer association operation function, data value recording function and file export function; A multi-viewport visualization linkage interface is established for different types of data in the target sequence function layer set through a visualization operation engine to complete the establishment of a visualization environment.

3. The three-dimensional right determination and delimitation modeling method in a digital twin environment according to claim 2 is characterized in that: The utilizing the visualization environment to spatially register the set of boundary points to form a set of discrete boundary points specifically includes: Acquire any two boundary points in the boundary point set as the first boundary point and the second boundary point, perform spatial registration on the first boundary point and the second boundary point through the visual linkage interface, and determine whether the first boundary point and the second boundary point have a co-located boundary area; If the first boundary point and the second boundary point have a co-located boundary area, an affine transformation method is used to obtain a transformation matrix between the first boundary point and the second boundary point, and the coordinates of the second boundary point are converted to the local coordinate system of the first boundary point according to the transformation matrix, until all boundary points in the boundary point set are spatially aligned to form a discrete boundary point set.

4. The three-dimensional right determination and delimitation modeling method in a digital twin environment according to claim 3 is characterized in that: The step of constructing boundary lines according to the discrete boundary point set and the boundary point relationship set, constructing boundary surfaces according to the boundary lines to obtain a boundary surface set, and constructing a three-dimensional property body according to the boundary surface set specifically includes: Expanding the discrete boundary point set in the visualization environment, and constructing a plurality of boundary lines according to the discrete boundary point set and the boundary point relationship set; De-duplication, cross-elimination and boundary line reconnection operations are performed on the plurality of boundary lines to obtain a boundary line set, and all boundary lines in the boundary line set are sequentially connected by a method of adjacent outer envelope to form a boundary surface set; Calculate the coverage of the boundary surface set, classify the scales according to the coverage to obtain boundary surfaces of different scale ranges, and perform surface reduction processing on the boundary surfaces of different scale ranges according to the requirements of the property rights confirmation unit to form a reduced boundary surface set, and construct a three-dimensional property right body according to the reduced boundary surface set.

5. The three-dimensional right determination and delimitation modeling method in a digital twin environment according to claim 4 is characterized in that: The multidimensional relationship detection includes point-line relationship detection, line-surface relationship detection and topological relationship detection; The multi-dimensional relationship detection of the spatiotemporal structure of the three-dimensional property right body specifically includes: Establish a test result storage set, determine whether each point in the three-dimensional property body constitutes two ends of the line, if not, generate a point-line relationship detection unstable record, and add the point-line relationship detection unstable record to the test result storage set; Determine whether each line in the three-dimensional property body constitutes an edge of a surface, and if not, generate an unstable record of line-surface relationship detection, and add the unstable record of line-surface relationship detection to the detection result storage set; Determine whether the line direction and the surface direction in the three-dimensional property body are correct, and if not, generate a topological relationship detection unstable record, and add the topological relationship detection unstable record to the detection result storage set; Performing a structural stability test on the three-dimensional property body according to the test result storage set, and if the test result storage set is empty, the structural stability test result of the three-dimensional property body is passed; If the detection result storage set is not empty, the structural stability detection result of the three-dimensional property body is failed, and the multi-dimensional relationship repair of the three-dimensional property body is performed according to the unstable records existing in the detection result storage set.

6. The three-dimensional right determination and delimitation modeling method in a digital twin environment according to claim 5 is characterized in that: The structural stability test result of the three-dimensional property body is passed, and then it also includes: The three-dimensional property body is subjected to twin environment verification and matching. If the twin environment verification and matching result fails, the three-dimensional boundary points are re-determined. If the twin environment verification and matching result passes, the target three-dimensional property body of the target user is obtained.

7. A three-dimensional right determination and delimitation modeling system in a digital twin environment, characterized in that: The three-dimensional right determination and delimitation modeling system in the digital twin environment includes: A digital twin property rights confirmation environment construction module is used to establish a digital twin property rights confirmation environment according to the geographic location provided by the target user, and the digital twin property rights confirmation environment includes: a data environment, an operating environment, and a visualization environment; A discrete boundary point generation module is used to extract three-dimensional boundary points from the data environment, form a boundary point set based on the three-dimensional boundary points, use the operating environment to outline the connection relationship of the three-dimensional boundary points in the boundary point set to obtain a boundary point relationship set, and use the visualization environment to perform spatial registration on the boundary point set to form a discrete boundary point set; The extracting of three-dimensional boundary points from the data environment, forming a boundary point set according to the three-dimensional boundary points, and outlining the connection relationship of the three-dimensional boundary points in the boundary point set by using the operating environment to obtain the boundary point relationship set specifically includes: Identify boundary points from the data environment by using a controllable ray detection method, extract valid adjacent points as candidate points, calculate the average value or median value of all the candidate points, and determine the three-dimensional boundary points according to the average value or the median value; Acquire local coordinate values ​​of the three-dimensional boundary points, form a boundary point set according to the local coordinate values ​​of the three-dimensional boundary points, use the operating environment to outline the connection relationship between the three-dimensional boundary points in the boundary point set, save the outlined connection relationship, and obtain a boundary point relationship set; A three-dimensional property body construction module is used to construct boundary lines according to the discrete boundary point set and the boundary point relationship set, construct boundary surfaces according to the boundary lines to obtain a boundary surface set, and construct a three-dimensional property body according to the boundary surface set; The three-dimensional property body detection module is used to perform multi-dimensional relationship detection of the spatiotemporal structure of the three-dimensional property body to obtain the target three-dimensional property body of the target user.

8. A terminal, characterized in that: The terminal includes: a memory, a processor, and a three-dimensional title confirmation and delimitation modeling program in a digital twin environment stored in the memory and run on the processor. When the three-dimensional title confirmation and delimitation modeling program in the digital twin environment is executed by the processor, the steps of the three-dimensional title confirmation and delimitation modeling method in a digital twin environment as described in any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a three-dimensional title confirmation and delimitation modeling program in a digital twin environment. When the three-dimensional title confirmation and delimitation modeling program in a digital twin environment is executed by a processor, the steps of the three-dimensional title confirmation and delimitation modeling method in a digital twin environment as described in any one of claims 1 to 6 are implemented.

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