A Land Surveying Data Intelligent Analysis and Management System and Method

Abstract

This invention discloses an intelligent analysis and management system and method for land surveying data, relating to the field of geographic information data processing technology. The method includes: establishing a topological hierarchy chain of land surveying point, line, and area results according to element identifiers, layer identifiers, and version identifiers; locking the original coordinates of key surveying points; generating a set of surveying topological units; verifying the boundary vertices in the set of surveying topological units through local curvature verification; and using arc length sequence dynamic regularization to match adjacent map sheets and historical version boundaries to obtain boundary continuity records; constructing the set of surveying topological units, the original coordinates of key surveying points, and the boundary continuity records into a multi-scale simple complex sequence; and obtaining the continuous homology signatures corresponding to connected components and ring structures. This invention uses a topological signature inverted index table to reverse locate specific boundary points, boundary segments, map patch boundaries, and parcel ground, improving the location accuracy of land surveying problem records.

Description

Technical Field

[0001] This invention relates to the field of geographic information data processing technology, and in particular to an intelligent analysis and management system and method for land surveying data. Background Technology

[0002] With the development of Geographic Information Systems (GIS), national land spatial information platforms, and real estate registration databases, land surveying results are gradually shifting from traditional graphic file management to spatial database management. Existing land surveying data typically includes parcel areas, boundary lines, boundary points, control points, land use features, attribute tables, and version records. GIS organizes, stores, queries, and updates point, line, and area results through a unified coordinate reference system, spatial indexing, layer hierarchy, and attribute association. For parcel boundaries, feature boundaries, and historical result versions, existing technologies generally employ layer overlay, topology rule checks, attribute consistency verification, spatial extent indexing, and version comparison to achieve database management, quality checks, and result retrieval of land surveying results.

[0003] However, existing land surveying data management methods mostly focus on checking geometric relationships within a single layer or version, failing to adequately express the continuous connections between map sheet boundaries, historical version boundaries, and point-line-area levels. Especially when there are abrupt changes in land parcel boundaries, boundary lines, and boundary points, missing boundaries, gaps between adjacent map patches, or version offsets, traditional methods typically rely on local geometric rules or manual verification, making it difficult to uniformly transform boundary continuity, topological connectivity, and version continuity into searchable and traceable spatial database records. Therefore, how to perform topological organization, cross-scale topological expression, problem localization, and indexing management of land surveying point-line-area results without altering the original coordinates of key surveying points has become a key technical problem that needs to be solved in the intelligent analysis and management of land surveying data. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides an intelligent analysis and management method for land surveying data to solve the problem of difficulty in unified positioning and retrieval of land surveying point, line, and surface results across map sheets and versions.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides an intelligent analysis and management method for land surveying data, comprising, Establish a topological hierarchy chain of land surveying point, line, and surface results based on element identifiers, layer identifiers, and version identifiers, lock the original coordinates of key surveying points, and generate a set of surveying topological units. Boundary inflection points in the topological unit set are verified by local curvature, and boundary continuity records are obtained by dynamically regularizing and matching adjacent map sheets and historical version boundaries using arc length sequence. The topological unit set of the surveying, the original coordinates of the key surveying points and the boundary connection record are constructed into a multi-scale simple complex sequence, and the continuous homology signatures corresponding to the connected components and the ring structure are obtained. A topological signature inverted table is established based on continuous homology signatures, and the locations of breaks, unclosed areas, gaps, overlaps, and version offsets in the boundary acceptance records are retrieved to obtain land surveying problem records. By encoding land surveying problem records and continuous homology signatures using Hilbert space-filling curves, sparse matrix records are embedded into the composite index key of the spatial database to generate land surveying results topology retrieval management records.

[0007] As a preferred embodiment of the intelligent analysis and management method for land surveying data described in this invention, the generation of the surveying topology unit set specifically includes: Extract parcels, boundary lines, boundary points, control points, land use features, attribute tables, and version tables from the land surveying spatial database, and construct point-line-area connection paths according to feature identifiers to obtain feature connection tables; The layer identifier is used to verify the point, line and polygon hierarchy in the feature attachment table to obtain the layer topology dependency chain; Version identifiers are used to solidify the succession order of elements with the same name in different versions of the deliverables, resulting in a version topology hierarchy chain. The layer topology sub-chain and version topology sub-chain are arranged into surveying topology units, and the original coordinates of control points, boundary points and registration inflection points are locked to form a surveying topology unit set.

[0008] As a preferred embodiment of the intelligent analysis and management method for land surveying data described in this invention, the verification of boundary vertices in the surveying topology unit set specifically includes: The boundary lines, parcel boundaries, and map patch boundaries in the mapping topology unit set are extracted according to the boundary point sequence to obtain the boundary point sequence. The turning direction and segment length changes are calculated using the continuous boundary points in the boundary point sequence to obtain the inflection point turning record. The locking status of the inflection point records and the original coordinates of the key mapping points is checked. Abrupt inflection points, repeated inflection points and hanging endpoints are marked to obtain inflection point verification records. The inflection point verification records are embedded into the corresponding mapping topology units to obtain the curvature verification topology unit set.

[0009] As a preferred embodiment of the intelligent analysis and management method for land surveying data described in this invention, the method of dynamically regularizing and matching adjacent map sheets and historical version boundaries using arc length sequences specifically includes: Extract the current boundary, adjacent map sheet boundary, and historical version boundary corresponding to the same feature identifier from the curvature verification topology unit set to obtain the boundary pairs to be matched; Accumulate the distances between adjacent points in the boundary pair to be matched according to the boundary point order to obtain the current boundary arc length sequence and the reference boundary arc length sequence; The current boundary arc length sequence and the reference boundary arc length sequence are matched by dynamic regularization path to obtain the corresponding point segment sequence; The missing point segments, offset point segments, and newly added point segments are delineated according to the corresponding point segment sequence to form a boundary connection record.

[0010] As a preferred embodiment of the intelligent analysis and management method for land surveying data described in this invention, the construction is a multi-scale simplex sequence, specifically including: Map the corresponding point segments, missing point segments, offset point segments, and newly added point segments in the boundary acceptance record to the mapping topology unit set to obtain the acceptance boundary topology unit set; By adopting the spatial range of the boundary topological unit set, the relationship between adjacent map sheets, and the version topological sub-chain, the original element scale, map sheet acceptance scale, and version acceptance scale are determined respectively, resulting in multi-scale construction rules; Based on the multi-scale construction rules, the control points, boundary points and ordinary inflection points of the receiving boundary topological unit set are defined as vertices, the boundary line segments, map patch boundaries and adjacent map sheet receiving edges are defined as edges, and the closed parcel ground and land type map patch surface are defined as surfaces, thus constructing the original element scale simple complex. In the map sheet consolidation scale, key survey points and adjacent map sheet consolidation edges are retained, and ordinary inflection points are compressed to obtain a simple complex shape of the map sheet consolidation scale. In the version consolidation scale, key survey points, historical version consolidation edges and closed surfaces are retained to obtain a simple complex shape of the version consolidation scale. Arrange the simple complexes according to the original element scale, map sheet scale, and version scale to obtain a multi-scale simple complex sequence.

[0011] As a preferred embodiment of the intelligent analysis and management method for land surveying data described in this invention, the step of obtaining the continuous homology signatures corresponding to the connected components and the ring structure specifically includes: By traversing the vertices, edges, and faces in the multi-scale simple complex sequence, a scale chain group record is obtained; Boundary operator calculations are performed on the scale chain group records to obtain the set of connected components and the set of ring structures. By tracing the occurrence and disappearance scales of the same connected component and the same ring structure along the scale order, a continuous interval record is obtained; The continuous interval records are respectively placed to the boundary line connection state, the parcel closure state, the map patch cavity state, the adjacent surface acceptance state, and the version continuation state to form a continuous homology signature.

[0012] As a preferred embodiment of the intelligent analysis and management method for land surveying data described in this invention, the establishment of the topological signature inverted index table specifically includes, The topological signature item is obtained by parsing the connected component signature, ring structure signature, and version continuation signature in the continuous homology signature; By tracing back along the multi-scale simple complex sequence, the vertices, edges, and faces involved in the formation of each topological signature item are obtained to obtain the signature source element chain; The corresponding point segments, missing point segments, offset point segments, and newly added point segments in the boundary connection record are respectively attached to the signature source element chain to obtain the signature connection chain. By placing the signature connection chain onto the boundary point, boundary line segment, map boundary, and parcel, an inverted index of elements carrying the connection point segment type is obtained; A dual retrieval entry point is formed by topological signature items and connecting point segment types, and a topological signature inverted index table is established using the inverted index of elements as the target.

[0013] As a preferred embodiment of the intelligent analysis and management method for land surveying data described in this invention, the step of obtaining land surveying problem records specifically includes: The topological signature inverted index is called to retrieve boundary inheritance records, and the connected component hit chains, ring structure hit chains, and version continuation hit chains of the same parcel boundary are obtained. When a connected component hits a chain that simultaneously hits a missing point segment and multiple discontinuous boundary line segments, the location of the boundary line break is marked to obtain the break problem term. When the ring structure hit chain does not cover the complete set of parcel boundaries, the unclosed position of the calibration surface is obtained, resulting in an unclosed problem term. When the ring structure hits the boundary line segment and offset point segment on both sides of the adjacent patch, the gap position and the overlapping position are marked to obtain the boundary conflict problem term. When the version continuation hit chain hits both the historical version boundary line segment set and the newly added point segment, the version offset position is marked to obtain the version offset issue item. By binding the faulty, unclosed, boundary conflict, and version offset issues to feature identifiers, layer identifiers, spatial locations, version identifiers, and inverted source information, respectively, a land surveying issue record is formed.

[0014] As a preferred embodiment of the intelligent analysis and management method for land surveying data described in this invention, the generation of land surveying results topological retrieval management records specifically includes, Based on the land surveying problem record, determine the minimum bounding rectangle of the problem elements and surveying topology units, and take the center point of the minimum bounding rectangle as the spatial positioning point; The spatial positioning points are encoded using Hilbert space-filling curves to obtain Hilbert indices; The connected component digest, ring structure digest, and version continuation digest in the continuous homology signature are compressed, and the continuation point segment type in the topological signature inverted index is preserved to obtain a sparse matrix record. Set the Hilbert sequence number as the leading field, and concatenate the feature identifier, layer identifier, connected component summary, ring structure summary, version identifier, inverted source, issue type, and sparse matrix record into an index field sequence to obtain the spatial database composite index key; Using the composite index key of the spatial database as the primary key for result retrieval, pointing to land surveying point, line, and area results, land surveying problem records, continuous coherence signatures, and sparse matrix records, a topological retrieval management record for land surveying results is formed.

[0015] Secondly, this invention provides an intelligent analysis and management system for land surveying data, comprising, The topology unit construction module establishes a topological hierarchy chain of land surveying point, line and surface results according to feature identifier, layer identifier and version identifier, locks the original coordinates of key surveying points, and generates a set of surveying topology units. The boundary connection processing module verifies the boundary inflection points of the topological unit set by local curvature verification, and uses arc length sequence dynamic regularization to match the boundaries of adjacent map sheets and historical versions to obtain the boundary connection record; The topological signature retrieval module constructs a multi-scale simple complex sequence from the mapping topological unit set, the original coordinates of key mapping points and the boundary connection record, and retrieves the continuous homology signatures corresponding to the connected components and the ring structure. The problem localization module establishes a topological signature inverted relation table based on continuous homology signatures and retrieves the locations of breaks, unclosed areas, gaps, overlaps, and version offsets in the boundary connection records to obtain land surveying problem records. The index management module uses Hilbert space-filling curves to encode land surveying problem records and continuous homology signatures, embeds sparse matrix records into the spatial database composite index key, and generates land surveying results topology retrieval management records.

[0016] The beneficial effects of this invention are as follows: By establishing a topological hierarchy chain of land surveying point, line, and surface results through element identifiers, layer identifiers, and version identifiers, the parcel surface, boundary lines, boundary points, control points, land use patches, and version records can maintain a clear continuity relationship within the same surveying topological unit. Simultaneously, the original coordinates of control points, boundary points, and registration inflection points are locked, preventing damage to legally mandated surveying coordinates during subsequent verification and construction processes. Through local curvature verification and dynamic regularization matching of adjacent map sheets and historical version boundaries, boundary vertices, missing segments, offset segments, and newly added segments can be transformed into boundary continuity records, providing a definite data foundation for subsequent topological analysis. Through multi-scale simple complex sequences and continuous homology signatures, the connectivity status of boundary lines, the closure status of parcel surfaces, the void status of patches, the continuity status of adjacent surfaces, and the version continuation status can be uniformly expressed as a computable topological signature. Then, by using a topological signature inverted index table, specific boundary points, boundary lines, patch boundaries, and parcel surfaces can be located in reverse, improving the accuracy of locating land surveying problem records. By using Hilbert space-filling curves and spatial database composite index keys, land surveying problem records, continuous coherence signatures, and sparse matrix records are organized into topological retrieval management records, enabling land surveying results to be quickly retrieved and traced according to spatial location, features, layers, versions, and topological issues. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A flowchart for intelligent analysis and management methods for land surveying data.

[0019] Figure 2 This is a schematic diagram of the construction and boundary connection of topological units for surveying and mapping.

[0020] Figure 3 This is a schematic diagram illustrating the construction of multi-scale simple complexes and the determination of continuous homology signatures.

[0021] Figure 4 This is a schematic diagram of topological signature inverted index retrieval and result index management. Detailed Implementation

[0022] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0023] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0025] Reference Figures 1-4 As one embodiment of the present invention, this embodiment provides an intelligent analysis and management method for land surveying data, comprising the following steps: S1. Establish a topological hierarchy chain of land surveying point, line and surface results according to element identifier, layer identifier and version identifier, lock the original coordinates of key surveying points and generate a set of surveying topological units.

[0026] S1.1. Extract land parcels, boundary lines, boundary points, control points, land use patches, attribute tables, and version tables from the geographic information system spatial database, and retain the feature identifiers, layer identifiers, version identifiers, coordinate sequences, parcel numbers, land use codes, adjacent map sheet numbers, and result batch numbers in each data table to obtain the basic land surveying data table.

[0027] The spatial database of a geographic information system is formed when land surveying results are entered into the database. The data, including land parcels, boundary lines, boundary points, control points, land use features, attribute tables, and version tables, are stored after verification according to a unified coordinate reference system, data format, feature coding rules, and spatial indexing rules.

[0028] Among them, the feature identifier is used to distinguish independent surveying features within the same layer, the layer identifier is used to distinguish the data level to which the land parcel, boundary line, boundary point, control point and land type patch belong, and the version identifier is used to distinguish the time sequence of features with the same name in different versions of the results.

[0029] Establish point-line-area connection paths in the land surveying basic data table according to the feature identifiers. Map the boundary points and control points to the start, end, and inflection points of the boundary lines, map the boundary lines to the boundaries of the land parcels and land use patches, and map the attribute tables to the attribute record positions of the land parcels and land use patches to obtain the feature connection table. When the same feature identifier appears at multiple boundary positions at the same time, determine the connection position according to the boundary line point sequence and the land parcel boundary ring sequence. When the feature identifier is missing, record the broken chain status in the feature connection table.

[0030] S1.2. Use layer identifiers to verify the point, line, and polygon hierarchy in the feature inheritance table. Limit control points and boundary points to the point feature level, limit boundary lines to the line feature level, and limit parcels and land use patches to the polygon feature level. Check whether point features are inherited by line features, whether line features are inherited by polygon features, and whether polygon features have attribute table records to obtain the layer topology dependency chain. When point features are not inherited by line features, line features are not inherited by polygon features, or polygon features lack attribute table records, retain a layer break mark in the layer topology dependency chain.

[0031] Version identification is used to process elements with the same name in the layer topology subordinate chain. Records with the same element in different deliverable versions are arranged according to the deliverable batch number and deliverable formation time in the version table to obtain the version topology subordinate chain. When elements with the same name exist in adjacent deliverable versions, the version topology subordinate chain records a continuous relationship. When elements with the same name are missing in a deliverable version, the version topology subordinate chain records a version interruption. When there are duplicate records of elements with the same name in the same deliverable version, the version topology subordinate chain retains the duplicate source record.

[0032] The layer topology sub-chain and version topology sub-chain are arranged according to the spatial boundaries of the land parcel and land type patches to form a surveying topology unit with the land parcel boundary and the boundary of adjacent patches as the core. The surveying topology unit includes land parcel, land type patches, boundary lines, boundary points, control points, attribute table records, version inheritance records, layer break markers and version interruption status.

[0033] S1.3. Identify control points, boundary points, and registered inflection points in the surveying topology unit. Write the original coordinates of the control points, boundary points, and registered inflection points into the key surveying point original coordinate locking record. Ordinary inflection points are only retained in the geometric expression point sequence of the surveying topology unit. The key surveying point original coordinate locking record includes point number, abscissa, ordinate, elevation value, coordinate reference system, and version identifier.

[0034] The spatial extent of a topological unit is calculated based on the coordinate range of point and polygon features within that unit. The spatial extent is calculated using the minimum bounding rectangle commonly used in geographic information system spatial indexing, expressed as: ; in, Indicates the first The spatial extent of a mapping topology unit Indicates the first Within the first mapping topology unit The x-coordinates of the boundary points Indicates the first Within the first mapping topology unit The ordinates of the boundary points and Used to define the lateral boundaries of a spatial range. and Used to define the longitudinal boundary of a spatial extent.

[0035] The original coordinates of the topological units, key surveying points, spatial range, layer, adjacent units, version of the result, and relationship between adjacent map sheets are saved according to the same element identifier to form a set of topological units.

[0036] S2. By verifying the boundary inflection points of the topological unit set through local curvature, and using arc length sequence dynamic regularization to match the boundaries of adjacent map sheets and historical versions, the boundary connection record is obtained.

[0037] S2.1. Extract boundary lines, parcel boundaries, and map patch boundaries from the surveying topology unit set, and arrange control points, boundary points, registered inflection points, and ordinary vertices according to the boundary point sequence saved in the surveying topology unit to obtain the boundary point sequence; the boundary point sequence retains the feature identifier, layer identifier, version identifier, point number, abscissa, ordinate, point sequence number, and original coordinate lock record of key surveying points.

[0038] The turning direction of the intermediate boundary point is calculated using three consecutive boundary points in the boundary point sequence, and the change in length of adjacent boundary segments is calculated using two consecutive boundary points to obtain the turning point record. The turning direction is derived from the vector angle formula in analytic geometry. Adjacent boundary segments in the boundary point sequence are treated as planar vectors, and the turning point of the boundary inflection point is determined by the change in direction of adjacent boundary segments. The expression is: ; in, Indicates the first The turning direction angle of each boundary point Indicates the first The planar coordinates of the boundary points Indicates the first The planar coordinates of the boundary points Indicates the first The planar coordinates of the boundary points Represents the vector of the previous boundary segment. This represents the vector of the next boundary segment.

[0039] S2.2. Verify the inflection point records with the original coordinate locking records of key surveying points. Control points, boundary points, and registered inflection points are marked only with inflection point status, without changing the horizontal coordinate, vertical coordinate, and elevation values. Ordinary inflection points are marked as abrupt inflection points, repeated inflection points, and suspended endpoints based on the inflection direction angle, the length of adjacent boundary segments, the repetition status of adjacent point coordinates, and the connection status of line endpoints, thus obtaining the inflection point verification record.

[0040] The vertex verification records are embedded into the corresponding mapping topology units, and the original boundary point sequence of the boundary lines, parcel boundaries and plot boundaries is preserved in the mapping topology units to obtain the curvature verification topology unit set.

[0041] Extract the current boundary, adjacent map sheet boundaries, and historical version boundaries corresponding to the same feature identifier from the curvature verification topology unit set. Accumulate the Euclidean distance between adjacent points according to the boundary point order to obtain the current boundary arc length sequence and the reference boundary arc length sequence, expressed as: ; in, Represents the first boundary point in the sequence. The cumulative arc length at each boundary point Indicates the first The x-coordinates of the boundary points Indicates the first The ordinates of the boundary points Indicates the first The x-coordinates of the boundary points Indicates the first The ordinates of the boundary points.

[0042] S2.3. Dynamic warping path matching is used to match the current boundary arc length sequence and the reference boundary arc length sequence to obtain the corresponding point segment sequence. The dynamic warping path is derived from the classic dynamic time warping algorithm. The time sequence in the dynamic time warping algorithm is replaced with the boundary arc length sequence, so that the current boundary and the reference boundary with different number of points and different sampling densities can establish a point segment correspondence according to the arc length position. The arc length position in the current boundary arc length sequence and the arc length position in the reference boundary arc length sequence form warping path nodes. The warping path nodes move unidirectionally according to the boundary point order. The warping path nodes are connected to obtain the corresponding point segment sequence.

[0043] The point segment correspondence results are compared between the current boundary and the reference boundary according to the corresponding point segment sequence. Point segments with matching objects on both sides are marked as corresponding point segments. Point segments that lack reference objects on the current boundary are marked as newly added point segments. Point segments that lack the current object on the reference boundary are marked as missing point segments. Point segments that have corresponding objects on the current boundary and the reference boundary but are not in the same spatial position are marked as offset point segments, thus obtaining the point segment continuation result.

[0044] The point segment continuation results are matched with the inflection point verification records. Abrupt inflection points, duplicate inflection points, and hanging endpoints are assigned to the boundary positions of the corresponding point segments, missing point segments, offset point segments, and newly added point segments to form boundary continuation records.

[0045] S3. Construct a multi-scale simple complex sequence from the topological unit set, the original coordinates of key survey points, and the boundary connection records, and obtain the continuous homology signatures corresponding to the connected components and the ring structure.

[0046] S3.1. Backfill the corresponding point segments, missing point segments, offset point segments and newly added point segments in the boundary acceptance record to the surveying topology unit set, and maintain the point-line-surface acceptance relationship according to the feature identifier, layer identifier and version identifier to obtain the acceptance boundary topology unit set.

[0047] The original feature scale, map sheet acceptance scale, and version acceptance scale are determined by the spatial range of the acceptance boundary topological unit set, the relationship between adjacent map sheets, and the version topological dependency chain, resulting in multi-scale construction rules. The original feature scale is used to preserve the complete point, line, and surface geometry of the acceptance boundary topological unit set, the map sheet acceptance scale is used to preserve the acceptance relationship between adjacent map sheet boundaries, and the version acceptance scale is used to preserve the acceptance relationship between the same feature identifier in the historical version boundary and the current boundary. The multi-scale construction rules limit the way vertices, edges, and faces are preserved at different scales.

[0048] Based on the multi-scale construction rules, control points, boundary points, and ordinary vertices in the receiving boundary topological unit set are defined as vertices, boundary line segments, map patch boundaries, and adjacent map sheet receiving edges are defined as edges, and closed parcel ground and land use map patch surfaces are defined as surfaces, thus constructing a simple complex at the original feature scale. The simple complex is a standard topological structure in algebraic topology, where vertices are used to represent survey point features, edges are used to represent survey line features, and surfaces are used to represent survey surface features. The simple complex at the original feature scale retains all boundary point sequences and boundary receiving records in the receiving boundary topological unit set.

[0049] S3.2. In the map sheet connection scale, retain the key survey points and adjacent map sheet connection edges, and merge ordinary vertices into the edges between adjacent key survey points according to the boundary line segments and map patch boundaries, to obtain the simple complex shape of the map sheet connection scale. The simple complex shape of the map sheet connection scale is used to reflect the connectivity state between adjacent map sheet boundaries and the surface boundary connection state.

[0050] Key mapping points, historical version transition edges, and closed surfaces are retained in the version transition scale. The historical version boundaries and current boundaries corresponding to the same feature identifier are connected as version transition edges according to the version topology subordinate chain, resulting in a simple complex of the version transition scale.

[0051] Arrange the simple complex shapes at the original element scale, map sheet scale, and version scale according to the original element scale, map sheet scale, and version scale to obtain a multi-scale simple complex shape sequence. Each layer in the multi-scale simple complex shape sequence contains vertices, edges, and faces. Adjacent layers in the multi-scale simple complex shape sequence maintain a correspondence through the original coordinates of key survey points, adjacent map sheet edges, and version edges.

[0052] By traversing the vertices, edges, and faces in the multi-scale simple complex sequence, vertices in each scale are registered as zero-dimensional chains, edges in each scale are registered as one-dimensional chains, and faces in each scale are registered as two-dimensional chains, thus obtaining the scale chain group record.

[0053] S3.3. Perform boundary operator calculations on the scaled chain group records to obtain the set of connected components and the set of ring structures; the boundary operator originates from the chain complex boundary operation in algebraic topology, and its expression is: ; ; in, Describes a one-dimensional chain boundary operator. Indicates the origin of the vertex and vertex The edges formed Represents the difference between the two endpoints of an edge; Represents a two-dimensional chain boundary operator. Indicates the origin of the vertex ,vertex and vertex The surface that is formed , and Represents the three edges of a face.

[0054] The locations where the boundaries of one-dimensional chains cancel each other out form a set of connected components, while the locations where the boundaries of two-dimensional chains do not completely cancel each other out form a set of ring structures.

[0055] The occurrence and disappearance scales of the same connected component and the same ring structure are traced along the arrangement order of the original feature scale, map sheet scale, and version scale to obtain the continuous interval record. The same connected component is corresponding through the same feature identifier, the same original coordinates of the same key mapping point, and the continuous boundary record. The same ring structure is corresponding through the same parcel, the same land type, and the same closed boundary. The continuous interval record includes the topology type, occurrence scale, disappearance scale, corresponding feature identifier, corresponding layer identifier, and corresponding version identifier.

[0056] The continuous interval records are respectively located to the boundary line connectivity state, parcel closure state, map patch void state, adjacent surface acceptance state, and version continuation state to form a continuous homology signature; the continuous homology signature includes the connected component signature, the ring structure signature, and the version continuation signature.

[0057] S4. Based on the continuous homology signature, establish a topological signature inverted table and retrieve the positions of breaks, unclosed areas, gaps, overlaps, and version offsets in the boundary connection records to obtain land surveying problem records.

[0058] S4.1. Parse the connected component signature, ring structure signature, and version continuation signature in the continuous homology signature to obtain the topological signature item; the connected component signature corresponds to the boundary line connectivity state, the ring structure signature corresponds to the parcel closure state, the map patch void state, and the adjacent surface connection state, and the version continuation signature corresponds to the continuation state of the same feature identifier between the historical version boundary and the current boundary.

[0059] By tracing back along the multi-scale simple complex sequence, the vertices, edges, and faces involved in the formation of each topological signature item are obtained to obtain the signature source element chain. The signature source element chain is arranged according to the topological inclusion relationship of vertices, edges, and faces. Vertices correspond to boundary points, control points, and ordinary vertices, edges correspond to boundary line segments, map patch boundaries, and adjacent map sheet connecting edges, and faces correspond to parcel ground and land category map patch faces.

[0060] The corresponding point segments, missing point segments, offset point segments, and newly added point segments in the boundary acceptance record are respectively attached to the signature source element chain to obtain the signature acceptance chain; the signature acceptance chain records the acceptance point segment type, current boundary source, adjacent map sheet boundary source, historical version boundary source, and point segment spatial location after each topological signature item.

[0061] S4.2. The signature continuation chain is placed to the boundary point, boundary line segment, map patch boundary, and land parcel to obtain the feature inverted list carrying the continuation point segment type; the feature inverted list uses the boundary point, boundary line segment, map patch boundary, and land parcel as the hit object, and records the corresponding connected component signature, ring structure signature, version continuation signature, corresponding point segment, missing point segment, offset point segment, and newly added point segment, so that the geographic information system spatial database can reverse locate the specific land surveying feature from the topological signature item.

[0062] A dual retrieval entry point is formed using topological signature items and connecting point segment types, with feature inverted items as the target objects, to establish a topological signature inverted relationship table. The topological signature inverted relationship table includes topological signature item fields, connecting point segment type fields, feature identifier fields, layer identifier fields, version identifier fields, spatial location fields, and inverted source fields. The topological signature inverted relationship table is used to establish a searchable mapping relationship between continuous homology signatures and boundary connecting records.

[0063] The boundary inheritance record is retrieved using the topological signature inverted relation table to obtain the connected component hit chain, the ring structure hit chain, and the version continuation hit chain of the same parcel boundary. The connected component hit chain consists of the connected component signature and the inverted item of the boundary line segment element corresponding to the same parcel boundary. The ring structure hit chain consists of the ring structure signature and the inverted item of the parcel boundary element corresponding to the same parcel. The version continuation hit chain consists of the version continuation signature corresponding to the same element identifier and the inverted item of the historical version boundary element.

[0064] S4.3. When a connected component hits a chain that simultaneously hits a missing point segment and multiple discontinuous boundary line segments, mark the boundary line break position and obtain the break problem item; the break problem item records the boundary line segment, missing point segment, connected component signature, feature identifier, layer identifier, version identifier, and inverted source corresponding to the break position.

[0065] When the ring structure hit chain does not cover the complete set of parcel boundaries, the unclosed position of the calibrated surface is obtained, resulting in an unclosed issue item. The unclosed issue item records the parcel surface, missing boundary segment, ring structure signature, feature identifier, layer identifier, version identifier, and inverted source corresponding to the unclosed position.

[0066] When the ring structure hit chain simultaneously hits the boundary line segments and offset point segments on both sides of the adjacent map patch, the gap position and the overlapping position are marked to obtain the boundary conflict issue item; the boundary conflict issue item records the adjacent map patch boundary, offset point segment, ring structure signature, gap position, overlapping position, feature identifier, layer identifier, version identifier, and inverted source.

[0067] When the version continuation hit chain hits both the historical version boundary line segment set and the newly added point segment, the version offset position is marked, and the version offset issue item is obtained; the version offset issue item records the current boundary, historical version boundary, newly added point segment, version continuation signature, feature identifier, layer identifier, version identifier, and inverted source.

[0068] The issues of fracture, unclosed, boundary conflict, and version offset are respectively bound to feature identifier, layer identifier, spatial location, version identifier, and inverted source to form a land surveying issue record. The land surveying issue record includes issue type, issue location, hit chain type, connecting point segment type, topological signature item, and inverted source.

[0069] S5. By encoding land surveying problem records and continuous homology signatures using Hilbert space-filling curves, sparse matrix records are embedded into the spatial database composite index key to generate land surveying results topology retrieval management records.

[0070] S5.1. Based on the problem location, element identifier, and spatial location in the land surveying problem record, determine the problem elements corresponding to the broken problem items, unclosed problem items, boundary conflict problem items, and version offset problem items, and extract the spatial range of the surveying topology unit to which the problem element belongs from the surveying topology unit set; when the land surveying problem record corresponds to a point element, use the coordinates of the point element as the spatial range of the problem element; when the land surveying problem record corresponds to a line element, use the extreme values ​​of the coordinates of the line element boundary point sequence as the spatial range of the problem element; when the land surveying problem record corresponds to a surface element, use the extreme values ​​of the coordinates of the surface element boundary ring as the spatial range of the problem element, thereby obtaining the minimum bounding rectangle of the problem element and the surveying topology unit.

[0071] Based on the problem elements and the minimum bounding rectangle of the mapping topology unit, the center point is taken as the spatial positioning point. The center point calculation comes from the rectangle center point formula in computational geometry. The minimum bounding rectangle in the land mapping problem record is already defined by the minimum horizontal boundary, the maximum horizontal boundary, the minimum vertical boundary, and the maximum vertical boundary. The center point is obtained from the midpoint of the two sets of coordinate boundaries, and the expression is: ; in, Represents the spatial location points of the problem elements. This represents the minimum horizontal coordinate of the smallest bounding rectangle. This represents the maximum horizontal coordinate of the smallest bounding rectangle. This represents the minimum vertical coordinate of the smallest bounding rectangle. This represents the maximum vertical coordinate of the smallest bounding rectangle.

[0072] S5.2. Spatial location points are encoded using Hilbert space-filling curves to obtain Hilbert serial numbers. The Hilbert space-filling curve is derived from the space-filling curve algorithm in computational geometry and spatial database indexing. The Hilbert space-filling curve converts two-dimensional spatial locations into one-dimensional ordered numbers and maintains the proximity of adjacent spatial objects in the one-dimensional number. In the topological retrieval of land surveying results, spatial location points are first normalized to the encoding grid of the Hilbert space-filling curve according to the spatial range of the surveying topological unit, and then the one-dimensional number is obtained according to the recursive access order of the Hilbert space-filling curve to obtain the Hilbert serial number.

[0073] The connected component summary, ring structure summary, and version continuation summary in the continuous homology signature are compressed, while retaining the connecting point segment type in the topological signature inverted table, resulting in a sparse matrix record. The connected component summary comes from the connected component signature in the continuous homology signature, the ring structure summary comes from the ring structure signature in the continuous homology signature, the version continuation summary comes from the version continuation signature in the continuous homology signature, and the connecting point segment type comes from the corresponding point segment, missing point segment, offset point segment, and newly added point segment in the topological signature inverted table. The sparse matrix record only records the feature identifier, topological signature item, and connecting point segment type that have a topological hit relationship, and does not record empty positions that do not have a topological hit relationship, thus obtaining a compressed record that can be embedded in the composite index key of a spatial database.

[0074] S5.3. Set the Hilbert sequence number as the leading field, and concatenate the feature identifier, layer identifier, connected component summary, ring structure summary, version identifier, inverted source, issue type, and sparse matrix record into an index field sequence to obtain the spatial database composite index key. The leading field of the spatial database composite index key is used for spatial range retrieval, the feature identifier is used to locate land surveying point, line, and area results, the layer identifier is used to distinguish point feature levels, line feature levels, and area feature levels, the connected component summary is used to retrieve the connectivity status of boundary lines, the ring structure summary is used to retrieve the closure status of parcels and the void status of map features, the version identifier is used to retrieve the continuity status between historical version boundaries and the current boundary, the inverted source is used to trace the hit source in the topological signature inverted relationship table, the issue type is used to retrieve breaks, unclosed, gaps, overlaps, and version offsets, and the sparse matrix record is used to retain the compressed correspondence between topological signature items and receiving point segment types.

[0075] Using the composite index key of the spatial database as the primary key for result retrieval, the primary key for result retrieval points to land surveying point, line and surface results, land surveying problem records, continuous homology signatures and sparse matrix records, forming a topological retrieval management record for land surveying results.

[0076] This embodiment also provides an intelligent analysis and management system for land surveying data, including: The topology unit construction module establishes a topological hierarchy chain of land surveying point, line and surface results according to feature identifier, layer identifier and version identifier, locks the original coordinates of key surveying points, and generates a set of surveying topology units. The boundary connection processing module verifies the boundary inflection points of the topological unit set by local curvature verification, and uses arc length sequence dynamic regularization to match the boundaries of adjacent map sheets and historical versions to obtain the boundary connection record; The topological signature retrieval module constructs a multi-scale simple complex sequence from the mapping topological unit set, the original coordinates of key mapping points and the boundary connection record, and retrieves the continuous homology signatures corresponding to the connected components and the ring structure. The problem localization module establishes a topological signature inverted relation table based on continuous homology signatures and retrieves the locations of breaks, unclosed areas, gaps, overlaps, and version offsets in the boundary connection records to obtain land surveying problem records. The index management module uses Hilbert space-filling curves to encode land surveying problem records and continuous homology signatures, embeds sparse matrix records into the spatial database composite index key, and generates land surveying results topology retrieval management records.

[0077] In summary, this invention establishes a topological hierarchy chain for land surveying point, line, and surface results through element identifiers, layer identifiers, and version identifiers. This ensures that parcel land, boundary lines, boundary points, control points, land use patches, and version records maintain a clear continuity relationship within the same topological unit. Simultaneously, it locks the original coordinates of control points, boundary points, and registration inflection points, preventing damage to legally mandated surveying coordinates during subsequent verification and construction processes. Through local curvature verification and dynamic arc length sequence regularization matching of adjacent map sheets and historical version boundaries, it can transform boundary vertices, missing segments, offset segments, and newly added segments into boundary continuity records, providing a definite data foundation for subsequent topological analysis. Through multi-scale simple complex sequences and continuous homology signatures, it can uniformly express the connectivity of boundary lines, the closure of parcel land, the void status of patches, the continuity status of adjacent surfaces, and the version continuation status as a computable topological signature. Then, by using a topological signature inverted index table, it can reverse-locate specific boundary points, boundary line segments, patch boundaries, and parcel land, improving the accuracy of locating land surveying problem records. By using Hilbert space-filling curves and spatial database composite index keys, land surveying problem records, continuous coherence signatures, and sparse matrix records are organized into topological retrieval management records, enabling land surveying results to be quickly retrieved and traced according to spatial location, features, layers, versions, and topological issues.

[0078] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for intelligent analysis and management of land surveying data, characterized in that: include, Establish a topological hierarchy chain of land surveying point, line, and surface results based on element identifiers, layer identifiers, and version identifiers, lock the original coordinates of key surveying points, and generate a set of surveying topological units. Boundary inflection points in the topological unit set are verified by local curvature, and boundary continuity records are obtained by dynamically regularizing and matching adjacent map sheets and historical version boundaries using arc length sequence. The topological unit set of the surveying, the original coordinates of the key surveying points and the boundary connection record are constructed into a multi-scale simple complex sequence, and the continuous homology signatures corresponding to the connected components and the ring structure are obtained. A topological signature inverted table is established based on continuous homology signatures, and the locations of breaks, unclosed areas, gaps, overlaps, and version offsets in the boundary acceptance records are retrieved to obtain land surveying problem records. By encoding land surveying problem records and continuous homology signatures using Hilbert space-filling curves, sparse matrix records are embedded into the composite index key of the spatial database to generate land surveying results topology retrieval management records.

2. The intelligent analysis and management method for land surveying data as described in claim 1, characterized in that: The generation of the mapping topology unit set specifically includes... Extract parcels, boundary lines, boundary points, control points, land use features, attribute tables, and version tables from the land surveying spatial database, and construct point-line-area connection paths according to feature identifiers to obtain feature connection tables; The layer identifier is used to verify the point, line and polygon hierarchy in the feature attachment table to obtain the layer topology dependency chain; Version identifiers are used to solidify the succession order of elements with the same name in different versions of the deliverables, resulting in a version topology hierarchy chain. The layer topology sub-chain and version topology sub-chain are arranged into surveying topology units, and the original coordinates of control points, boundary points and registration inflection points are locked to form a surveying topology unit set.

3. The intelligent analysis and management method for land surveying data as described in claim 2, characterized in that: The boundary vertices of the verification mapping topology unit set specifically include, The boundary lines, parcel boundaries, and map patch boundaries in the mapping topology unit set are extracted according to the boundary point sequence to obtain the boundary point sequence. The turning direction and segment length changes are calculated using the continuous boundary points in the boundary point sequence to obtain the inflection point turning record. The locking status of the inflection point records and the original coordinates of the key mapping points is checked. Abrupt inflection points, repeated inflection points and hanging endpoints are marked to obtain inflection point verification records. The inflection point verification records are embedded into the corresponding mapping topology units to obtain the curvature verification topology unit set.

4. The intelligent analysis and management method for land surveying data as described in claim 3, characterized in that: The method of dynamically regularizing and matching adjacent map sheets and historical version boundaries using arc length sequences specifically includes: Extract the current boundary, adjacent map sheet boundary, and historical version boundary corresponding to the same feature identifier from the curvature verification topology unit set to obtain the boundary pairs to be matched; Accumulate the distances between adjacent points in the boundary pair to be matched according to the boundary point order to obtain the current boundary arc length sequence and the reference boundary arc length sequence; The current boundary arc length sequence and the reference boundary arc length sequence are matched by dynamic regularization path to obtain the corresponding point segment sequence; The missing point segments, offset point segments, and newly added point segments are delineated according to the corresponding point segment sequence to form a boundary connection record.

5. The intelligent analysis and management method for land surveying data as described in claim 4, characterized in that: The construction is a multi-scale simplicial complex sequence, specifically including: Map the corresponding point segments, missing point segments, offset point segments, and newly added point segments in the boundary acceptance record to the mapping topology unit set to obtain the acceptance boundary topology unit set; By adopting the spatial range of the boundary topological unit set, the relationship between adjacent map sheets, and the version topological sub-chain, the original element scale, map sheet acceptance scale, and version acceptance scale are determined respectively, resulting in multi-scale construction rules; Based on the multi-scale construction rules, the control points, boundary points and ordinary inflection points of the receiving boundary topological unit set are defined as vertices, the boundary line segments, map patch boundaries and adjacent map sheet receiving edges are defined as edges, and the closed parcel ground and land type map patch surface are defined as surfaces, thus constructing the original element scale simple complex. In the map sheet consolidation scale, key survey points and adjacent map sheet consolidation edges are retained, and ordinary inflection points are compressed to obtain a simple complex shape of the map sheet consolidation scale. In the version consolidation scale, key survey points, historical version consolidation edges and closed surfaces are retained to obtain a simple complex shape of the version consolidation scale. Arrange the simple complexes according to the original element scale, map sheet scale, and version scale to obtain a multi-scale simple complex sequence.

6. The intelligent analysis and management method for land surveying data as described in claim 5, characterized in that: The process of obtaining the persistent homology signatures corresponding to the connected components and the ring structure specifically includes: By traversing the vertices, edges, and faces in the multi-scale simple complex sequence, a scale chain group record is obtained; Boundary operator calculations are performed on the scale chain group records to obtain the set of connected components and the set of ring structures. By tracing the occurrence and disappearance scales of the same connected component and the same ring structure along the scale order, a continuous interval record is obtained; The continuous interval records are respectively placed to the boundary line connection state, the parcel closure state, the map patch cavity state, the adjacent surface acceptance state, and the version continuation state to form a continuous homology signature.

7. The intelligent analysis and management method for land surveying data as described in claim 6, characterized in that: The establishment of the topological signature inverted index specifically includes, The topological signature item is obtained by parsing the connected component signature, ring structure signature, and version continuation signature in the continuous homology signature; By tracing back along the multi-scale simple complex sequence, the vertices, edges, and faces involved in the formation of each topological signature item are obtained to obtain the signature source element chain; The corresponding point segments, missing point segments, offset point segments, and newly added point segments in the boundary connection record are respectively attached to the signature source element chain to obtain the signature connection chain. By placing the signature connection chain onto the boundary point, boundary line segment, map boundary, and parcel, an inverted index of elements carrying the connection point segment type is obtained; A dual retrieval entry point is formed by topological signature items and connecting point segment types, and a topological signature inverted index table is established using the inverted index of elements as the target.

8. The intelligent analysis and management method for land surveying data as described in claim 7, characterized in that: The obtained land surveying problem record specifically includes, The topological signature inverted index is called to retrieve boundary inheritance records, and the connected component hit chains, ring structure hit chains, and version continuation hit chains of the same parcel boundary are obtained. When a connected component hits a chain that simultaneously hits a missing point segment and multiple discontinuous boundary line segments, the location of the boundary line break is marked to obtain the break problem term. When the ring structure hit chain does not cover the complete set of parcel boundaries, the unclosed position of the calibration surface is obtained, resulting in an unclosed problem term. When the ring structure hits the boundary line segment and offset point segment on both sides of the adjacent patch, the gap position and the overlapping position are marked to obtain the boundary conflict problem term. When the version continuation hit chain hits both the historical version boundary line segment set and the newly added point segment, the version offset position is marked to obtain the version offset issue item. By binding the faulty, unclosed, boundary conflict, and version offset issues to feature identifiers, layer identifiers, spatial locations, version identifiers, and inverted source information, respectively, a land surveying issue record is formed.

9. The intelligent analysis and management method for land surveying data as described in claim 8, characterized in that: The generated land surveying results topology retrieval management record specifically includes: Based on the land surveying problem record, determine the minimum bounding rectangle of the problem elements and surveying topology units, and take the center point of the minimum bounding rectangle as the spatial positioning point; The spatial positioning points are encoded using Hilbert space-filling curves to obtain Hilbert indices; The connected component digest, ring structure digest, and version continuation digest in the continuous homology signature are compressed, and the continuation point segment type in the topological signature inverted index is preserved to obtain a sparse matrix record. Set the Hilbert sequence number as the leading field, and concatenate the feature identifier, layer identifier, connected component summary, ring structure summary, version identifier, inverted source, issue type, and sparse matrix record into an index field sequence to obtain the spatial database composite index key; Using the composite index key of the spatial database as the primary key for result retrieval, pointing to land surveying point, line, and area results, land surveying problem records, continuous coherence signatures, and sparse matrix records, a topological retrieval management record for land surveying results is formed.

10. A land surveying data intelligent analysis and management system, based on the land surveying data intelligent analysis and management method according to any one of claims 1 to 9, characterized in that: include, The topology unit construction module establishes a topological hierarchy chain of land surveying point, line and surface results according to feature identifier, layer identifier and version identifier, locks the original coordinates of key surveying points, and generates a set of surveying topology units. The boundary connection processing module verifies the boundary inflection points of the topological unit set by local curvature verification, and uses arc length sequence dynamic regularization to match the boundaries of adjacent map sheets and historical versions to obtain the boundary connection record; The topological signature retrieval module constructs a multi-scale simple complex sequence from the mapping topological unit set, the original coordinates of key mapping points and the boundary connection record, and retrieves the continuous homology signatures corresponding to the connected components and the ring structure. The problem localization module establishes a topological signature inverted relation table based on continuous homology signatures and retrieves the locations of breaks, unclosed areas, gaps, overlaps, and version offsets in the boundary connection records to obtain land surveying problem records. The index management module uses Hilbert space-filling curves to encode land surveying problem records and continuous homology signatures, embeds sparse matrix records into the spatial database composite index key, and generates land surveying results topology retrieval management records.

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