CN115222873B - Three-dimensional property map attribute batch association method based on labels and spatial semantics - Google Patents
Three-dimensional property map attribute batch association method based on labels and spatial semantics Download PDFInfo
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Abstract
The invention relates to the technical field of three-dimensional cadastral data modeling, and discloses a three-dimensional property map batch correlation method based on labels and spatial semantics, wherein the method is based on house layered household map CAD data, and data preprocessing is completed through interference information removal, rule quality inspection, repair and the like; then, automatically extracting annotation information such as characters, numerical values and the like by relying on a knowledge rule base, and constructing linear geometric elements such as house wall lines and the like; the spatial operation based on the spatial position is adopted to accurately index the information such as the house number and the like of the house, so that semantic association of the annotation and the geometric information is realized; finally, based on the shape matching of the geometric features, semantic association with real estate registration information is completed, the support diagram belongs to integrated three-dimensional property modeling, semantic, geometric and other information of the hierarchical household map CAD data is fully utilized, the association of the three-dimensional property and the registration information is realized in a batched, efficient and precise manner, 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 map batch correlation method based on labels and spatial semantics.
Background
Along with development and utilization of three-dimensional space, three-dimensional cadastral construction is promoted, a basic unit of three-dimensional cadastral management is a three-dimensional title body, the three-dimensional cadastral management is a space domain with fixed geographic space position and unique shape, a right boundary (face) is closed and rights are independent, the three-dimensional title body is a composite of substance entities and rights, and at present, three-dimensional title body research is mainly focused on data model, topological relation, semantic expression and other dimensions: for example, with respect to the aspects of a logic 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 face model, a voxel model, a mixed model and the like; meanwhile, researchers build a multi-detail-level three-dimensional real estate comprehensive expression model by analyzing three-dimensional property semantic expression, and build a semantic framework.
The existing three-dimensional property body construction is mainly based on two-dimensional graphic surface stretching, the formed three-dimensional property body cannot directly contain real property registration information, manual association is needed to be completed, efficiency is low, mistakes are easy to occur, patent 2015145596. X discloses a three-dimensional building modeling method, attribute information associated before modeling is mainly obtained by traversing CAD surface elements, the CAD surface elements do not store related real property registration information, association assignment is needed again after modeling, time and labor are wasted, and therefore the three-dimensional property body graph batch association method based on labeling and space semantics is provided, so that association of the three-dimensional property body and the real property registration information is achieved in a supported mode in a batched, efficient and accurate mode, and the modeling requirement of the three-dimensional property body integrated with the graph is met.
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 spatial 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 relevant real estate registration information, association assignment is needed again after modeling, and time and labor are wasted.
The aim of the invention can be achieved by the following technical scheme: a three-dimensional property map attribute batch association method based on labels and spatial semantics comprises the following steps:
step one: based on house layering and household separating chart CAD data, the annotation information and the linear geometric information are stored in a layering manner through pretreatment of interference information removal, rule quality inspection and repair completion data;
step two: automatically extracting annotation semantic information containing characters and numerical values from the preprocessed house layered household map CAD data according to a knowledge rule base;
step three: combining the stored linear geometric information, constructing the line elements, and dividing and expressing the house, stairs and elevator space reflected in the house layered household-dividing map;
step four: adopting space operation based on space position to accurately index house number information of house space, and realizing association of house annotation and geometric semantic information;
step five: and a left turning algorithm is introduced to extract a house contour surface, semantic association with real estate registration information is completed through shape matching of geometric features, and the support map belongs to integrated three-dimensional property modeling.
Further, the rule quality inspection and repair is used for implementing inspection and correction of topology errors and repeated annotation errors occurring in the house layered household map CAD data, and comprises the following steps:
checking and modifying whether the geometric layer is a line drawing layer or not according to the geometric layer knowledge rule, and whether the line drawing layer is covered or not;
and judging the number of bits containing decimal points in the side length marks in the mark layer according to the mark layer knowledge rule, and correcting and adjusting whether mark errors with repeated marks exist.
Further, the process of associating the house note with the geometric semantic information comprises the following steps:
step S1: combining the linear geometric layers which are subjected to inspection and modification and are stored in a layered mode, constructing the surfaces of linear geometric elements, expressing the space division of houses, stairs and elevators embodied in a house layered household-dividing diagram, and simultaneously calculating the geometric center positions of all pattern spots formed after constructing the surfaces, 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 geometric center coordinate of the pattern spot,
and->
Respectively a lower left vertex and an upper right vertex of the geometric figure circumscribed rectangle;
step S2: based on the geometric center coordinates G of the pattern spots (X,Y) Further calculate the geometrical center coordinates G of the pattern spots (X,Y) To the point of annotation
The shortest distance D of (2) is calculated as follows:
step S3: traversing the annotation layer and the geometric layer to develop map-attribute association according to the geometric center coordinates and the shortest distance, and calculating the spatial inclusion relation of the room number, the stairs and the elevator annotation: if the mark is included, directly carrying out map genus association, if the mark is not included, counting a mark-free map spot and an unassociated mark position list, and sorting and associating by combining the distances between the mark center point and the geometric center position of the mark-free map spot.
Further, the extraction process of the house profile 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, and if a plurality of corner points with the smallest abscissa exist, selecting the corner point with the smallest ordinate, wherein the initial current point and any point in the vertical direction form an auxiliary initial wall line;
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, recording the tracked times, and taking the other point of the subsequent wall line as the next current point;
step W3: and when the next current point is equal to the initial current point, completing the boundary polygon extraction of the hierarchical household chart.
Further, the process of completing semantic association with real estate registration information comprises the following steps:
based on a surface layer for realizing geometric and annotation association, a house attribute table is newly added in the layer, wherein the house attribute table comprises a real estate unit number, a natural building number, a logic building number, a layer number, a sitting position, a house number, an area unit, an actual layer number, an actual building area in a sleeve, an actual shared building area, a house type, a house property and a state;
adopting shape matching of geometric features to establish a matching relationship between a house profile surface and a house image layer in a real estate registration database;
and taking the room number as an index field, and associating real property registration information corresponding to each user, such as a real property unit number, a natural building number and a logical building number, into a user attribute table to realize semantic association with the real property registration information, thereby realizing rapid modeling of the support map-integrated three-dimensional property body.
Further, the geometric characteristic shape matching is realized by sampling geometric key characteristic points of the house contour surface, and by comparing and analyzing the key characteristic points, the matching relation between the house contour surface and the house image layer in the real estate registration database is established.
The invention has the beneficial effects that:
in the using process, the marking information and the linear geometric information are stored in layers based on the CAD data of the house layering household-dividing map through the pretreatment of the interference information removal, the rule quality inspection and the repair completion data; automatically extracting annotation semantic information of the text annotation and the numerical annotation from the preprocessed house layered household map CAD data according to the knowledge rule base; combining the stored linear geometric information, constructing the line elements, and dividing and expressing the house, stairs and elevator space reflected in the house layered household-dividing map; adopting space operation based on space position to accurately index house number information of house space, and realizing association of house annotation and geometric semantic information; a left turning algorithm is introduced to extract a house contour surface, semantic association with real estate registration information is completed through shape matching of geometric features, and a support map belongs to integrated three-dimensional property modeling; the existing house layered household map CAD data is fully utilized, the annotation and geometric information extracted based on knowledge rules are adopted, space calculation based on space positions and shape matching based on geometric features are adopted, existing real estate registration information is associated in batches, the efficiency of three-dimensional property map association can be greatly improved, the defects of low efficiency, easiness in error and the like of manual matching in the past are overcome, a practical and effective technical method support is provided for realizing map integrated three-dimensional property rapid modeling, and data production and application requirements in a three-dimensional cadastral management mode are better met.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to those skilled in the art that other drawings can be obtained according to these drawings without inventive effort;
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a CAD data chart of a hierarchical household map of a house according to the invention;
FIG. 3 is a flow chart of CAD data preprocessing of a hierarchical household map of a house according to the invention;
FIG. 4 is a flow chart of annotation information and geometry information extraction in accordance with the present invention;
FIG. 5 is a flow chart of the present invention semantically associating with real estate registration information;
fig. 6 is a process and a result display diagram of the invention for extracting house contour surfaces based on a left turn algorithm.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, a three-dimensional property map attribute batch association method based on labels and spatial semantics includes the following steps:
s100, preprocessing CAD data:
the basic data mainly comprises CAD data of a house layering household map and graph and attribute data in a real estate registration database. As shown in fig. 2, the CAD data of the hierarchical household map of the house describes the rights and the boundaries of the house, the division of four walls, the building sites such as stairs, elevators, distribution rooms, and the like, and the marking information such as room numbers, side lengths, and the like.
The method comprises the steps of removing interference information, checking and repairing data based on rules and the like aiming at original house layering and household separating chart CAD data, layering and storing annotation information and linear geometric information, wherein the flow is shown in a figure 3, and specifically comprises the following steps:
s101, removing interference information in CAD data of an original house layered household map, for example, deleting the interference information such as the area, the axis, the compass, the drawing annotation and the like contained in the CAD data;
s102, checking and correcting topology errors, repeated annotation errors and the like in a hierarchical household chart are realized by relying on a constructed knowledge rule base of the geometric layer and the annotation layer, checking and correcting whether the geometrical layer is a line drawing layer or not, checking and correcting whether the line drawing layer is covered, overlapped and the like drawing errors or not, judging the number of bits with decimal points in the side length annotation in the annotation layer, and correcting and adjusting whether marking errors such as annotation repetition exist or not;
s103, respectively storing the geometric layer and the annotation layer subjected to quality inspection and repair so as to support the subsequent efficient processing of the geometric data and the annotation data in the house layered household map.
S200, extracting annotation semantic information:
and automatically extracting annotation semantic information such as text annotation, numerical annotation and the like from the preprocessed data by relying on the constructed knowledge rule base. The specific logic is as follows: judging whether the marks contain numbers, if so, continuing to judge whether decimal places exist, and if so, marking the marks as numerical marks such as side lengths; otherwise, the mark is a character mark of a room number, a stair, an elevator, a power distribution room and the like.
S300, forming a linear geometric element surface:
and (3) combining the linear geometric layers stored in the S103 in a layering way, constructing the surfaces of the linear geometric elements, and expressing the space division of houses, stairs, elevators and the like embodied in the house layering and household separating diagram so as to support the semantic association of the house surface elements and the marks.
S400, the annotation is semantically associated with the geometric information:
the spatial operation based on the spatial position is adopted to accurately index the information such as the room number of the house space, and the like, so that the association of the house mark and the geometric semantic information is realized, the flow is shown in fig. 4, and the specific steps are as follows:
s401, combining the linear geometric layers which are subjected to the inspection and modification and are stored in a layered mode, carrying out linear geometric element face construction, and carrying out space division expression on houses, stairs, elevators and the like which are embodied in a house layered household diagram;
s402, simultaneously calculating the geometric center position of each pattern spot formed after the formation of the linear geometric elements, 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 geometric center coordinate of the pattern spot,
and->
Respectively a lower left vertex and an upper right vertex of the geometric figure circumscribed rectangle;
s403, further calculating the geometric center G of the pattern spot based on the geometric center coordinates of the pattern spot (X,Y) Coordinates of (a) to the annotation point
The shortest distance D of (2) is calculated as follows:
s404, traversing the annotation layers and the geometric layers to develop graph correlation according to the geometric center coordinates and the shortest distance, and calculating the spatial inclusion relation of the annotations such as room numbers, stairs, elevators and the like: if the mark is included, directly carrying out map genus association, if the mark is not included, counting a mark-free map spot and an unassociated mark position list, and sorting and associating by combining the distances between the mark center point and the geometric center position of the mark-free map spot.
S500, semantic association with real estate registration information:
in order to realize association with a house roof in a real estate registration database, a house contour surface is extracted by introducing a left turn algorithm, and simultaneously, semantic association with real estate registration information is completed based on shape matching of geometric features, so that support map belongs to integrated three-dimensional property modeling. The flow is shown in fig. 5, and specifically includes:
s501, based on the surface layer for realizing the association of geometry and annotation in S400, the household attributes of the house are newly added in the layer, including real estate unit number, natural building number, logical building number, layer number, sitting, household number, area unit, actual layer number, actual building area in the sleeve, actual shared building area, house type, house property, state and the like, and as shown in the following table 1, table 1 is a household attribute table.
S502, 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 a plurality of corner points with the smallest abscissa exist, selecting the corner point with the smallest ordinate, wherein the current point and any point in the vertical direction form an auxiliary initial wall line;
taking the current point as the center, starting a first wall line which is rotationally encountered by the wall line in a anticlockwise direction, taking the first wall line as a subsequent wall line, 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, the extraction of the boundary polygon of the hierarchical household chart is completed, and the extraction process is shown in fig. 6;
s503, sampling key feature points of the house contour surface based on a geometric feature shape matching method, and establishing an accurate matching relation between the house contour surface and a house image layer in a real estate registration database by comparing the key feature points;
s504, combining the surface layer associated with the geometric annotation in S400 and the matching relation established in S503, further using the room number as an index field, and associating real property registration information corresponding to each user in the real property registration database, such as a real property unit number, a natural building number, a logical building number and the like, to a newly added user attribute table of the surface layer to realize semantic association with the real property registration information and form the surface layer which is associated with the annotation and contains the real property registration information.
The foregoing has shown and described the basic principles, principal 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, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims.
Claims (4)
1. The three-dimensional property map attribute batch association method based on the annotation and the spatial semantics is characterized by comprising the following steps of:
step one: based on house layering and household separating chart CAD data, the annotation information and the linear geometric information are stored in a layering manner through pretreatment of interference information removal, rule quality inspection and repair completion data;
step two: automatically extracting annotation semantic information containing characters and numerical values from the preprocessed house layered household map CAD data according to a knowledge rule base;
step three: combining the stored linear geometric information, constructing the line elements, and dividing and expressing the house, stairs and elevator space reflected in the house layered household-dividing map;
step four: and (3) spatial operation based on spatial positions is adopted to accurately index house number information of a house space, so that association of house annotation and geometric semantic information is realized:
step S1: combining the linear geometric layers which are subjected to inspection and modification and are stored in a layered mode, constructing the surfaces of linear geometric elements, expressing the space division of houses, stairs and elevators embodied in a house layered household-dividing diagram, and simultaneously calculating the geometric center positions of all pattern spots formed after constructing the surfaces, 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 geometric center coordinate of the pattern spot,
and->
Respectively a lower left vertex and an upper right vertex of the geometric figure circumscribed rectangle;
step S2: based on the geometric center coordinates G of the pattern spots (X,Y) Further calculate the geometrical center coordinates G of the pattern spots (X,Y) To the point of annotation
The shortest distance D of (2) is calculated as follows:
step S3: traversing the annotation layer and the geometric layer to develop map-attribute association according to the geometric center coordinates and the shortest distance, and calculating the spatial inclusion relation of the room number, the stairs and the elevator annotation: if the mark is included, directly carrying out map genus association, if the mark is not included, counting a mark-free map spot and an unassociated mark position list, and sorting and associating by combining the distances between a mark center point and the geometric center position of the mark-free map spot;
step five: the left turning algorithm is introduced to extract the outline surface of the house, semantic association with real estate registration information is completed through shape matching of geometric features, and the support map belongs to integrated three-dimensional property modeling:
based on a surface layer for realizing geometric and annotation association, a house attribute table is newly added in the layer, wherein the house attribute table comprises a real estate unit number, a natural building number, a logic building number, a layer number, a sitting position, a house number, an area unit, an actual layer number, an actual building area in a sleeve, an actual shared building area, a house type, a house property and a state;
adopting shape matching of geometric features to establish a matching relationship between a house profile surface and a house image layer in a real estate registration database;
and taking the room number as an index field, associating the real property registration information corresponding to each user, namely the real property unit number, the natural building number and the logical building number into a user attribute table, realizing semantic association with the real property registration information, and rapidly modeling the support map-integrated three-dimensional property body.
2. The method for batch association of three-dimensional property graphics based on labels and spatial semantics as claimed in claim 1, wherein the rule quality inspection and repair is used for implementing inspection and correction of topology errors and repeated annotation errors occurring in house layered household-individual-graphic CAD data, and comprises the following steps:
checking and modifying whether the geometric layer is a line drawing layer or not according to the geometric layer knowledge rule, and whether the line drawing layer is covered or not;
and judging the number of bits containing decimal points in the side length marks in the mark layer according to the mark layer knowledge rule, and correcting and adjusting whether mark errors with repeated marks exist.
3. The method for batch association of three-dimensional property graphics based on labels and spatial semantics as claimed in claim 1, wherein the process of extracting house profile 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, and if a plurality of corner points with the smallest abscissa exist, selecting the corner point with the smallest ordinate, wherein the initial current point and any point in the vertical direction form an auxiliary initial wall line;
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, recording the tracked times, and taking the other point of the subsequent wall line as the next current point;
step W3: and when the next current point is equal to the initial current point, completing the boundary polygon extraction of the house layering household drawing.
4. The method for batch association of three-dimensional property graphics based on labels and spatial semantics as claimed in claim 1, wherein the shape matching of the geometric features is characterized in that the matching relationship between the house outline surface and the house graphics layer in the real estate registration database is established by sampling geometric key feature points of the house outline surface and comparing and analyzing the key feature points.
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