CN115222873A - Three-dimensional property picture batch association method based on annotation and spatial semantics - Google Patents
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Abstract
The invention relates to the technical field of three-dimensional cadastre data modeling, and discloses a three-dimensional property picture belonging to a batch association method based on labeling and space semantics, wherein the method is based on CAD data of a house layered household picture, and completes data preprocessing through interference information removal, regular quality inspection, restoration and the like; then, according to a knowledge rule base, automatically extracting annotation information such as characters and numerical values, and constructing surfaces of linear geometric elements such as house walls and lines; spatial operation based on spatial position is adopted to accurately index information such as house numbers of houses, and semantic association between the notes and the geometric information is realized; finally, semantic association with real estate registration information is completed based on shape matching of geometric features, the three-dimensional property object modeling of the integrated images is supported, information such as semantics and geometry of the hierarchical user-divided image CAD data is fully utilized, association of the three-dimensional property object and the registration information is achieved in a batch, high-efficiency and accurate mode, and the requirements of three-dimensional real estate modeling, management and registration are met.
Description
Technical Field
The invention relates to the technical field of three-dimensional cadastral data modeling, in particular to a three-dimensional property body diagram batch association method based on annotation and space semantics.
Background
With the development and utilization of three-dimensional space, the three-dimensional cadastre construction is promoted, the basic unit of three-dimensional cadastre management is a three-dimensional property body, which is a space domain with fixed geographic space position, unique body, closed property boundary line (surface) and independent right, and is a synthetic body of substance entity and right, at present, the research of the three-dimensional property body mainly focuses on dimensions such as data model, topological relation, semantic expression and the like: for example, for the aspects of a logical model, a physical model, a topological relation and the like of a three-dimensional property body, related scholars propose different property space three-dimensional body expression models such as a surface element model, a volume element model, a mixed model and the like; meanwhile, a researcher establishes a multi-detail-level three-dimensional property comprehensive expression model by analyzing the semantic expression of the three-dimensional property entity, and a semantic frame is constructed.
The existing three-dimensional property body construction is mainly based on two-dimensional graph surface stretching, a formed three-dimensional property body cannot directly contain real estate registration information and needs manual association, the efficiency is low and errors easily occur, and patent 201510845596.X discloses a three-dimensional building modeling method.
Disclosure of Invention
In order to solve the defects in the background art, the invention aims to provide a three-dimensional property map batch association method based on labels and space semantics, which solves the technical problems that the existing three-dimensional building modeling method is obtained by traversing CAD (computer-aided design) surface elements, the CAD surface elements do not store related real estate registration information, and association assignment needs to be carried out again after modeling, so that time and labor are wasted.
The purpose of the invention can be realized by the following technical scheme: a three-dimensional property body picture batch association method based on annotation and spatial semantics comprises the following steps:
the method comprises the following steps: based on the CAD data of the house layered household graph, preprocessing of data is completed through interference information removal, regular quality inspection and restoration, and the annotation information and the linear geometric information are stored in a layered mode;
step two: automatically extracting annotation semantic information containing characters and numerical values from the preprocessed house layered household drawing CAD data according to a knowledge rule base;
step three: combining the stored linear geometric information to construct a line element plane, and dividing and expressing the house, the stairs and the elevator space embodied in the house layered household graph;
step four: the method comprises the following steps of accurately indexing house number information of a house space by adopting space operation based on a space position, and realizing the correlation between house notes and geometric semantic information;
step five: and a left-turn algorithm is introduced to extract a house profile surface, semantic association with real estate registration information is completed through shape matching of geometric features, and a support diagram belongs to integrated three-dimensional property body modeling.
Further, the rule quality inspection and repair is used for checking and correcting topology errors and repeated annotation errors occurring in the CAD data of the house layered user-divided graph, and comprises the following steps:
according to the geometric layer knowledge rule, whether the geometric layer is a line graph layer or not, whether the line graph layer covers the line graph layer or not and whether the line graph layer overlaps the line graph layer or not are wrongly drawn are checked and modified;
and judging the decimal digit of the side length note in the note layer according to the note layer knowledge rule, and correcting and adjusting whether a mark error with repeated notes exists.
Further, the process of associating the house annotation with geometric semantic information comprises the steps of:
step S1: combining the linear geometric layers which are checked and modified and stored in a layered mode, performing linear geometric element surface construction, performing space segmentation expression of houses, stairs and elevators embodied in house layered household graphs, and calculating the geometric center position of each pattern spot formed after surface construction, wherein the calculation formula is as follows:
G (X,Y) ＝G(X min +(X max -X min )/2,(Y max -Y min )/2)，
wherein G is (X,Y) Is the coordinate of the geometric center of the image spot,
and
the left lower vertex and the right upper vertex of the circumscribed rectangle of the geometric figure are respectively;
step S2: based on the geometric center coordinates G of the pattern spots (X,Y) Further calculating the geometric center coordinates G of the pattern spots (X,Y) To the point of note
The calculation formula of the shortest distance D is as follows:
and step S3: traversing the marking map layer and the geometric map layer to develop map-attribute association according to the geometric center coordinate and the shortest distance, and performing space inclusion relation calculation on room numbers, stairs and elevator marks: if the non-annotated map spots are contained, directly performing image association, if not, counting a non-annotated map spot and an unassociated annotated position list, and sorting and associating by combining the annotated center point and the distance to the geometric center position of the non-annotated map spot.
Further, the process of extracting the house outline surface comprises the following steps:
step W1: based on a left-turn algorithm, taking the corner point with the smallest abscissa among all the corner points of the wall line as an initial current point, if the corner points with the smallest abscissas are multiple, selecting the corner point with the smallest ordinate, and forming an auxiliary initial wall line by the initial current point and any point in the vertical direction of the initial current point;
step W2: taking the initial current point as a center, assisting the initial wall line to rotate in a counterclockwise direction to meet a first wall line, taking the first wall line as a subsequent wall line and recording the tracked times, and taking another point of the subsequent wall line as a next current point;
step W3: and when the next current point is equal to the initial current point, finishing the extraction of the boundary polygon of the layered user-splitting graph.
Further, the process of completing semantic association with real estate registration information includes the steps of:
based on a surface map layer realizing geometric and annotation association, a household attribute table of a house is newly added in the map layer, wherein the household attribute table comprises a real estate unit number, a natural building number, a logical building number, a layer number, a sitting position, a household number, an area unit, an actual layer number, an actual measurement building area in a set of actual measurement buildings, an actual measurement apportioned building area, a house type, house properties and states;
adopting the shape matching of geometric characteristics to establish the matching relation between the house profile surface and the house map layer in the real estate registration database;
the room number is used as an index field, real estate registration information corresponding to each user, such as a real estate unit number, a natural building number and a logical building number, is associated to a user attribute table, semantic association with the real estate registration information is achieved, and rapid modeling of a three-dimensional property body integrated with pictures is supported.
Furthermore, the shape matching of the geometric features is realized by sampling geometric key feature points of the house profile surface and comparing and analyzing the key feature points, so that the matching relation between the house profile surface and the house map layer in the real estate registration database is established.
The invention has the beneficial effects that:
in the using process, based on the CAD data of the house layered household graph, the pre-processing of the data is completed through interference information removal, regular quality inspection and restoration, and the annotation information and the linear geometric information are stored in a layered mode; automatically extracting annotation semantic information of character annotations and numerical value annotations from the preprocessed house hierarchical user-divided graph CAD data according to a knowledge rule base; combining the stored linear geometric information to construct a line element plane, and dividing and expressing the house, the stairs and the elevator space embodied in the house layered household graph; the method comprises the following steps of accurately indexing house number information of a house space by adopting space operation based on a space position, and realizing the correlation between house notes and geometric semantic information; a left-turn algorithm is introduced to extract a house outline surface, semantic association with real estate registration information is completed through shape matching of geometric features, and a support diagram belongs to integrated three-dimensional property body modeling; the existing house hierarchical family-division graph CAD data is fully utilized, notes and geometric information extracted based on the knowledge rules are adopted, space calculation based on space positions is adopted, shape matching based on geometric features is adopted, existing real estate registration information is related in a batch mode, efficiency of three-dimensional property body graph association can be greatly improved, the defects of low efficiency, high possibility of errors and the like of manual matching in the prior art are overcome, practical and effective technical method support is provided for achieving rapid modeling of a three-dimensional property body integrated with the three-dimensional property body, and data production and application requirements under a three-dimensional cadastral management mode are better met.
Drawings
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without creative efforts;
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a CAD data diagram of a hierarchical household graph of a house according to the present invention;
FIG. 3 is a CAD data preprocessing flow chart of the house layered household graph of the invention;
FIG. 4 is a flow chart of annotation information and geometric information extraction of the present invention;
FIG. 5 is a flow diagram of the semantic association of the present invention with real estate registration information;
fig. 6 is a process and result display diagram for extracting the house profile surface based on the left turn algorithm according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a three-dimensional title object diagram based on annotation and spatial semantics belongs to a batch association method, and the method includes the following steps:
s100, CAD data preprocessing:
the basic data based on the real estate comprises CAD data of a house layered household graph and attribute data in a real estate registration database. As shown in fig. 2, the CAD data of the house hierarchical household graph describes house property boundary lines, four-side wall division, building parts such as stairs, elevators and power distribution rooms, and annotation information such as room numbers and side lengths.
Removing interference information, performing data quality inspection and restoration based on rules and the like on original house layered user-divided graph CAD data, and storing the annotation information and the linear geometric information in a layered manner, wherein the flow is shown in FIG. 3 and specifically comprises the following steps:
s101, removing interference information in the original house layered user-divided graph CAD data, for example, deleting the interference information such as area, axis, north arrow, drawing annotation and the like contained in the original house layered user-divided graph CAD data;
s102, by means of a built knowledge rule base of a geometric layer and a note layer, checking and correcting topological errors, repeated note errors and the like in a layered household graph, checking and correcting drawing errors such as whether the geometric graph layer is a line graph layer, whether the line graph layer is covered, overlapped and the like, judging digits with decimal numbers of side length notes in the note layer, and correcting and adjusting the existence of note repetition and other mark errors;
and S103, respectively storing the geometric layer and the annotation layer which are subjected to quality inspection and repair so as to support the subsequent efficient processing of geometric data and annotation data in the house layered household graph.
S200, extracting the annotation semantic information:
and automatically extracting annotation semantic information such as character annotations, numerical value annotations and the like from the preprocessed data based on the constructed knowledge rule base. The specific logic is as follows: judging whether the note contains numbers, if so, continuing to judge whether decimal places exist, and if so, marking the note as a side length equal-value note; otherwise, the marks are marked as word marks such as room numbers, stairs, elevators, power distribution rooms and the like.
S300, linear geometric element configuration:
and combining the linear geometric layers stored in the layered mode in the S103 to construct the linear geometric elements, and carrying out space segmentation expression on houses, stairs, elevators and the like embodied in the house layered user-division graph so as to support semantic association between house and roof surface elements and the notes.
S400, semantic association of the notes and the geometric information:
the method adopts spatial operation based on spatial position to accurately index information such as room number to which a house space belongs, and realizes the association of house notes and geometric semantic information, and the flow is shown in FIG. 4, and the method comprises the following specific steps:
s401, performing linear geometric element construction by combining the linear geometric layers which are checked and modified and stored in a layered mode, and dividing and expressing the spaces of houses, stairs, elevators and the like in the house layered household graph;
s402, simultaneously calculating the geometric center position of each pattern spot formed after the linear geometric elements are formed, wherein the calculation formula is as follows:
G (X,Y) ＝G(X min +(X max -X min )/2,(Y max -Y min )/2)，
wherein, G (X,Y) Is the coordinate of the geometric center of the image spot,
and
respectively a left lower vertex and a right upper vertex of a geometric figure external rectangle;
s403, further calculating the geometric center G of the image spot based on the geometric center coordinates of the image spot (X,Y) Coordinate to note ofDot
The calculation formula of the shortest distance D is as follows:
s404, traversing the annotation layer and the geometric layer to develop graph attribute association according to the geometric center coordinate and the shortest distance, and performing space inclusion relation calculation on the room number, the stairs, the elevator and other annotations: if yes, directly performing image association, if not, counting a list of the non-annotated map patches and the unassociated annotated positions, and sorting and associating by combining the annotated center points and the distances from the geometric center positions of the non-annotated map patches.
S500, semantically associating the real estate registration information:
in order to realize the association with the house roof in the real estate registration database, a left turn algorithm is introduced to extract a house outline surface, and meanwhile, the semantic association with real estate registration information is completed based on the shape matching of geometric features, and a support diagram belongs to an integrated three-dimensional property object modeling. The process shown in fig. 5 specifically includes:
s501, based on the surface map layer with the geometry and the annotation associated in S400, the household attributes of the house are newly added in the map layer, including a real estate unit number, a natural building number, a logical building number, a layer number, a sitting position, a household number, an area unit, an actual layer number, an actual measurement building area, a building area in an actual measurement set, an actual measurement apportioned building area, a house type, house properties, states and the like, as shown in the following table 1, wherein the table 1 is a household attribute table.
S502, based on a left-turn algorithm, selecting the corner point with the smallest abscissa among all corner points of the wall lines as an initial current point, if the corner points with the smallest abscissas are multiple, selecting the corner point with the smallest ordinate, and forming an auxiliary initial wall line by the current point and any point in the vertical direction of the current point;
taking the current point as a center, rotating the first wall line encountered by the initial wall line in a counterclockwise direction, taking the wall line as a subsequent wall line and recording the tracked times, and taking another point of the subsequent wall line as the next current point; until the current point is equal to the initial current point, completing the extraction of the boundary polygon of the layered household graph, wherein the extraction process is shown in FIG. 6;
s503, sampling key feature points of the house profile surface based on a shape matching method of geometric features, and establishing an accurate matching relation between the house profile surface and a house map layer in a real estate registration database by comparing the key feature points;
and S504, combining the surface map layer associated with the geometric notes in S400 and the matching relationship established in S503, further using the room number as an index field, associating the real estate registration information corresponding to each user in the real estate registration database, such as a real estate unit number, a natural building number, a logical building number and the like, to the newly added user attribute table of the surface map layer, so as to realize semantic association with the real estate registration information, and forming the surface map layer which is associated with the notes and contains the real estate registration information.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed.
Claims (6)
1. A three-dimensional property picture batch association method based on labels and space semantics is characterized by comprising the following steps:
the method comprises the following steps: based on the CAD data of the house layered household graph, preprocessing the data by removing interference information, checking the rule quality and repairing, and storing the annotation information and the linear geometric information in a layered manner;
step two: automatically extracting annotation semantic information containing characters and numerical values from the preprocessed house layered household drawing CAD data according to a knowledge rule base;
step three: combining the stored linear geometric information to construct a line element plane, and dividing and expressing the house, the stairs and the elevator space embodied in the house layered household graph;
step four: spatial operation based on spatial position is adopted to accurately index the house number information of the house space, and correlation between house marks and geometric semantic information is realized;
step five: and a left-turn algorithm is introduced to extract a house profile surface, semantic association with real estate registration information is completed through shape matching of geometric features, and a support diagram belongs to integrated three-dimensional property body modeling.
2. The batch association method for three-dimensional property drawings based on labels and spatial semantics as claimed in claim 1, wherein the regular quality inspection and repair is used for checking and correcting topology errors and repeated label errors occurring in CAD data of a house layered household drawing, and comprises:
according to the geometric layer knowledge rule, whether the geometric layer is a line graph layer or not, whether the line graph layer covers the line graph layer or not and whether the line graph layer overlaps the line graph layer or not are wrongly drawn are checked and modified;
and judging the decimal digit of the side length note in the note layer according to the note layer knowledge rule, and correcting and adjusting whether a note repeated mark error exists.
3. The batch association method of the three-dimensional title drawings based on labels and space semantics as claimed in claim 1, wherein the process of associating the house labels with the geometric semantics information comprises the following steps:
step S1: combining the linear geometric layers which are checked and modified and stored in a layered mode, constructing the surfaces of the linear geometric elements, dividing and expressing the spaces of houses, stairs and elevators reflected in the house layered household graph, and meanwhile calculating the geometric center position of each pattern spot formed after the surface construction, wherein the calculation formula is as follows:
G (X,Y) ＝G(X min +(X max -X min )/2,(Y max -Y min )/2)，
wherein, G (X,Y) Is the coordinate of the geometric center of the image spot,
and
the left lower vertex and the right upper vertex of the circumscribed rectangle of the geometric figure are respectively;
step S2: based on the geometric center coordinate G of the pattern spot (X,Y) Further calculating the geometric center coordinates G of the pattern spot (X,Y) To the point of note
The calculation formula of the shortest distance D is as follows:
and step S3: according to the geometric center coordinate and the shortest distance, traversing the annotation layer and the geometric layer to develop map attribute association, and performing spatial inclusion relation calculation on room numbers, stairs and elevator annotations: if yes, directly performing image association, if not, counting a list of the non-annotated map patches and the unassociated annotated positions, and sorting and associating by combining the annotated center points and the distances from the geometric center positions of the non-annotated map patches.
4. The method for batch association of three-dimensional property figures based on annotation and spatial semantics, according to claim 1, wherein the process of extracting the outline surface of the house comprises the following steps:
step W1: based on a left-turn algorithm, taking the corner point with the smallest abscissa among all the corner points of the wall line as an initial current point, if the corner points with the smallest abscissas are multiple, selecting the corner point with the smallest ordinate, and forming an auxiliary initial wall line by the initial current point and any point in the vertical direction of the initial current point;
step W2: taking the initial current point as a center, assisting the initial wall line to rotate in a counterclockwise direction to meet a first wall line, taking the first wall line as a subsequent wall line and recording the tracked times, and taking another point of the subsequent wall line as a next current point;
step W3: and when the next current point is equal to the initial current point, finishing the extraction of the boundary polygon of the house layered household graph.
5. The method of claim 1, wherein the process of performing semantic association with real estate registration information comprises the following steps:
based on a surface map layer realizing geometric and annotation association, a household attribute table of a house is newly added in the map layer, wherein the household attribute table comprises a real estate unit number, a natural building number, a logical building number, a layer number, a sitting position, a household number, an area unit, an actual layer number, an actual measurement building area in a set of actual measurement buildings, an actual measurement apportioned building area, a house type, house properties and states;
adopting the shape matching of geometric characteristics to establish the matching relation between the house profile surface and the house map layer in the real estate registration database;
and associating real estate registration information corresponding to each user, such as a real estate unit number, a natural building number and a logic building number, into a user attribute table by using the room number as an index field, so that semantic association with the real estate registration information is realized, and the integrated three-dimensional property object rapid modeling of the images is supported.
6. The method according to claim 5, wherein the geometric feature shape matching is implemented by sampling geometric key feature points of the house profile surface and by analyzing the key feature points through comparison, so as to establish a matching relationship between the house profile surface and the house map layer in the real estate registration database.
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| CN116664455A (en) * | 2023-08-01 | 2023-08-29 | 武汉天恒信息技术有限公司 | Method for processing boundary non-conforming between two-dimensional vector graphics |
| CN117058269A (en) * | 2023-07-05 | 2023-11-14 | 北京龙软科技股份有限公司 | Method and device for rapidly normalizing mine informationized management mine map |
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