Basic surveying and mapping production-oriented multi-dimensional data result display method and system

Abstract

The invention provides a multi-dimensional data achievement display method and system oriented to basic surveying and mapping production, and relates to the technical field of data achievement display of surveying and mapping geographic information. According to the method, point cloud data, image data, vector diagram data and three-dimensional model data are accessed to a unified data management and display framework of private cloud to form a multi-source surveying and mapping data set, and the multi-source surveying and mapping data set is subjected to achievement unification processing. On this basis, a multi-dimensional element fusion result is constructed, a cross-dimensional element association index is generated, a traceable mapping relation among two-dimensional vector elements, three-dimensional model elements and image elements is established, and multi-scale browsing-oriented hierarchical organization data and spatial indexes are further constructed; uniform loading, on-demand scheduling and interactive calling of multi-dimensional achievements are achieved. And a multi-dimensional result display result is published through the private cloud, so that linkage display and efficient sharing of the basic surveying and mapping result are realized.

Description

Technical Field

[0001] This invention relates to the field of data result display technology for surveying and mapping geographic information, and in particular to a method and system for displaying multi-dimensional data results for basic surveying and mapping production. Background Technology

[0002] From field collection to office processing, basic surveying and mapping results generate various types of data outputs. Common field outputs include point cloud data and image data; office outputs further generate vector map data, 3D model data, and so on. These outputs are repeatedly used in planning and design, engineering construction, and geographic information services. Users want to see spatial forms and details, as well as find element attributes and conduct some level of analysis. Therefore, the presentation of outputs not only needs to be "openable," but also emphasizes "understandable, alignable, and searchable."

[0003] In practical delivery and application, 2D vector outputs, 3D model outputs, point cloud outputs, and panoramic image outputs often need to be used in combination: vectors are used to express range and element structure, 3D models are used to express spatial morphology, point clouds retain dense spatial sampling information, and panoramic imagery provides supplementary on-site perspectives. To facilitate circulation, reuse, and sharing within an organization, output management and display are gradually evolving towards centralization and platformization, especially in private cloud environments. The goal is to achieve unified organization, unified access, and unified display of multi-source outputs while meeting intranet security and unified management requirements.

[0004] Current display methods often use the type of output as a boundary, with 2D and 3D outputs typically loaded and operated separately. The correspondence between cross-type outputs lacks a stable format, frequently relying on manual comparison and hindering the formation of traceable, interconnected queries and a unified entry point. Due to diverse sources and long processing chains, different outputs can easily differ in spatial benchmarks, resolution, and organizational granularity, leading to inconsistencies in the location and representation of the same feature across different outputs, affecting the accuracy of browsing, querying, and attribute analysis. Furthermore, the large volume of multidimensional output data, without a hierarchical organization and on-demand scheduling mechanism for display, can easily result in long loading times and choppy interactions. Considering shared applications under private cloud conditions, centralized storage, version consistency, and access control also place demands on output display; without a unified data management and display framework, output publishing and sharing can easily lead to repetitive generation and copying, resulting in high maintenance costs and difficulty in ensuring consistency. Summary of the Invention

[0005] To overcome the shortcomings of existing technologies, the purpose of this invention is to provide a method and system for displaying multi-dimensional data results for basic surveying and mapping production. By constructing a cross-dimensional element association index and a hierarchical organization and display mechanism, it realizes unified management, linked display and efficient sharing of multi-source results of basic surveying and mapping in a private cloud environment.

[0006] To achieve the above objectives, the present invention provides the following solution: A method for displaying multidimensional data results for basic surveying and mapping production, comprising: Acquire point cloud data and image data collected in the field, as well as vector map data and 3D model data generated by indoor processing. Integrate the point cloud data, image data, vector map data, and 3D model data into a unified data management and display framework deployed on a private cloud to form a multi-source mapping dataset. The multi-source mapping dataset is subjected to result standardization processing to express the results in a unified format and spatial benchmark, resulting in a standardized result dataset. Based on the unified result dataset, a multi-dimensional element fusion result is constructed, and a cross-dimensional element association index is generated; the cross-dimensional element association index is used to establish a traceable mapping relationship between two-dimensional vector elements, three-dimensional model elements, and image elements corresponding to the image data; Based on the cross-dimensional element association index and the multi-dimensional element fusion result, a hierarchical organization data and spatial index for multi-scale browsing are constructed in the private cloud to obtain display service data. Within the same display platform, two-dimensional vector data, three-dimensional models, and image data are uniformly loaded based on the display service data, and on-demand scheduling and interactive calls are performed based on the spatial index. Based on the cross-dimensional element association index, perform element queries and attribute analysis, output multi-dimensional results display results linked with the query results, and publish the multi-dimensional results display results through the private cloud to achieve shared application.

[0007] Preferably, the point cloud data, the image data, the vector map data, and the 3D model data are integrated into a unified data management and display framework deployed on a private cloud to form a multi-source mapping dataset, including: Result identifiers are generated for the point cloud data, the image data, the vector image data, and the 3D model data, respectively, and a set identifier is generated to represent the same access. Based on the achievement identifier and the set identifier, the point cloud data, the image data, the vector data and the 3D model data are written into the private cloud, and an achievement catalog record corresponding one-to-one with the achievement identifier is generated; The result catalog records are aggregated based on the set identifier to generate a dataset catalog record, wherein the dataset catalog record includes at least the set identifier and the set of result identifiers associated with the set identifier; The dataset directory records are registered to the unified data management and display framework, and the result identifier set corresponding to the set identifier and the result directory records together constitute the multi-source mapping dataset, so that the multi-source mapping dataset can be retrieved and called.

[0008] Preferably, the multi-source mapping dataset undergoes result standardization processing to express the results in a unified format and spatial benchmark, resulting in a standardized result dataset, including: Read the result catalog records corresponding to the point cloud data, image data, vector data and 3D model data in the multi-source mapping dataset, and determine the source format information and source spatial reference information of each result based on the result catalog records; The source format information is converted into a target format expression supported by the unified data management and display framework, and the source spatial reference information is converted into a preset target spatial reference to generate a consistent result catalog record; the consistent result catalog record includes target format expression information and target spatial reference information; The transformed result data and the corresponding consistent result directory records are written into the private cloud, and the transformed result data and the corresponding consistent result directory records together constitute the consistent result dataset.

[0009] Preferably, a multi-dimensional element fusion result is constructed based on the unified result dataset, and a cross-dimensional element association index is generated, including: Based on the unified result dataset, a two-dimensional vector element set, a three-dimensional model element set, and an image element set are obtained by parsing, and element identifiers are generated for the elements in the two-dimensional vector element set, the three-dimensional model element set, and the image element set; Generate feature spatial extent information for each feature in the two-dimensional vector feature set, the three-dimensional model feature set, and the image feature set; Based on preset association criteria, the two-dimensional vector element set and the three-dimensional model element set, as well as the two-dimensional vector element set and the image element set, are associated and matched to generate cross-dimensional element association records; the cross-dimensional element association records include at least the element identifier of the two-dimensional vector element and the element identifier of the associated element. The cross-dimensional element association index is constructed using the cross-dimensional element association records, and the two-dimensional vector element set, the three-dimensional model element set, and the image element set are organized according to a unified calling structure to form the multi-dimensional element fusion result.

[0010] Preferably, based on the cross-dimensional feature association index and the multi-dimensional feature fusion result, a hierarchical organization data and spatial index for multi-scale browsing are constructed in the private cloud to obtain display service data, including: The multi-dimensional element fusion results are hierarchically organized according to a preset scale level to generate hierarchical data units corresponding to each scale level, and a unit identifier is generated for each hierarchical data unit. Generate unit spatial range information for each of the hierarchical data units, and construct the spatial index based on the unit identifier and the unit spatial range information; The hierarchical data unit, the unit identifier, the unit spatial range information, the spatial index, and the cross-dimensional element association index are written into the private cloud, and the hierarchical data unit, the unit identifier, the unit spatial range information, the spatial index, and the cross-dimensional element association index together constitute the display service data.

[0011] Preferably, within the same display platform, the unified loading of two-dimensional vector data, three-dimensional models, and image data is achieved based on the display service data, and on-demand scheduling and interactive invocation are performed based on the spatial index, including: Obtain the current field of view and current display scale of the display platform; Based on the current field of view, the current display scale, and the spatial index, determine the set of hierarchical data units to be loaded, and read the set of hierarchical data units to be loaded from the private cloud; In the display platform, the unified loading of two-dimensional vector data, three-dimensional model and image data is completed based on the set of hierarchical data units to be loaded. After receiving the interaction command, the display platform updates the current field of view or the current display scale according to the interaction command, and repeats the step "determine the set of hierarchical data units to be loaded based on the current field of view, the current display scale and the spatial index, and read the set of hierarchical data units to be loaded from the private cloud" to realize the on-demand scheduling and the interactive call.

[0012] Preferably, based on the cross-dimensional element association index, element queries and attribute analyses are performed, and multi-dimensional results linked to the query results are output, including: The platform receives a query request for a target element and determines the element identifier of the target element. Based on the element identifier, the cross-dimensional element association index is retrieved to obtain a set of associated element identifiers related to the target element, and the element attribute information of the corresponding element is obtained based on the set of associated element identifiers. The attribute information of the elements is subjected to attribute analysis processing to generate analysis results. Based on the analysis results, the loading content corresponding to the target element and the set of associated element identifiers on the display platform is updated in a coordinated manner to output the multidimensional result display results.

[0013] Preferably, publishing the multi-dimensional results display through the private cloud to achieve shared applications includes: Generate a publication record corresponding to the multidimensional results display; the publication record includes a publication identifier, a data range description, and access permission rules; The publishing record is associated with the display service data corresponding to the multi-dimensional results display, and the publishing record is written to the private cloud to generate publishing entry information; Access control is performed on the published entry information based on the access permission rules, and access logs are recorded to realize the shared application.

[0014] Preferably, it further includes: Detect incremental changes in the multi-source mapping dataset and determine the set of affected result identifiers; Based on the set of result identifiers, determine the set of affected element identifiers, and only update the cross-dimensional element association records corresponding to the set of element identifiers to maintain the cross-dimensional element association index; Based on the set of results identifiers, the affected set of hierarchical data units is determined, and only the spatial range information and spatial index entries corresponding to the set of hierarchical data units are updated to maintain the consistency between the spatial index and the display service data.

[0015] A multi-dimensional data results display system for basic surveying and mapping production includes: The data access and dataset construction unit is used to acquire point cloud data and image data collected in the field, as well as vector map data and 3D model data generated by indoor processing. The point cloud data, image data, vector map data and 3D model data are accessed and deployed in a unified data management and display framework on a private cloud to form a multi-source surveying and mapping dataset. The results standardization processing unit is used to perform results standardization processing on the multi-source mapping dataset to unify the format of the results and the spatial benchmark, thereby obtaining a standardized results dataset. The multi-dimensional element fusion and association index generation unit is used to construct multi-dimensional element fusion results based on the unified result dataset and generate cross-dimensional element association indexes; the cross-dimensional element association indexes are used to establish traceable mapping relationships between two-dimensional vector elements, three-dimensional model elements, and image elements corresponding to the image data. The hierarchical organization and spatial index construction unit is used to construct hierarchical organization data and spatial index for multi-scale browsing in the private cloud based on the cross-dimensional element association index and the multi-dimensional element fusion result, so as to obtain display service data. The unified loading and on-demand scheduling interaction unit is used to load two-dimensional vector data, three-dimensional models and image data in the same display platform based on the display service data, and to perform on-demand scheduling and interactive calls based on the spatial index. The element query analysis and results publishing unit is used to perform element queries and attribute analysis based on the cross-dimensional element association index, output multi-dimensional results display results linked with the query results, and publish the multi-dimensional results display results through the private cloud to achieve shared applications.

[0016] The present invention discloses the following technical effects: This invention addresses the problem of existing basic surveying and mapping results being managed in a decentralized manner and displayed on separate platforms. By constructing a unified data management and display framework in a private cloud environment, point cloud data, image data, vector map data, and 3D model data are incorporated into the same technical system. This enables centralized access and unified organization of multi-source surveying and mapping results, thereby avoiding the management costs caused by scattered storage and repeated maintenance of results from the source, and improving the overall controllability and reusability of basic surveying and mapping results.

[0017] This invention introduces multi-dimensional element fusion and cross-dimensional element association index on the basis of result consistency processing, so as to establish a stable and traceable mapping relationship between two-dimensional vector elements, three-dimensional model elements and image elements. This overcomes the shortcomings of the existing technology, which can only display different results side by side and is difficult to form element-level linkage, thus providing technical support for the linkage query, comparative analysis and comprehensive application of cross-dimensional results.

[0018] This invention constructs a hierarchical organization of data and spatial index for multi-scale browsing based on cross-dimensional element association index and multi-dimensional element fusion results. This enables multi-dimensional results to be loaded on demand according to the browsing scale and field of view during the display process, avoiding the performance bottleneck caused by loading a large amount of data at once. This improves the response efficiency and interactive smoothness of multi-dimensional results display and adapts to application scenarios where the volume of basic surveying and mapping results data is constantly increasing.

[0019] This invention enables unified loading and interactive calling of two-dimensional vector data, three-dimensional models, and image data within the same display platform. This allows users to browse, query, and perform attribute analysis within the same spatial view, reducing the complexity of switching between different systems and improving the intuitiveness and efficiency of basic surveying and mapping results in planning and design, engineering construction, and other application scenarios.

[0020] This invention publishes multi-dimensional results through a private cloud, enabling centralized publication and controlled sharing of results. While ensuring data security and access control, it improves the sharing efficiency and service capabilities of basic surveying and mapping results, which is conducive to supporting collaborative use and continuous updates by multiple departments. It also solves the problems of relying on manual copying and difficulty in unifying versions in existing technologies. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. 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.

[0022] Figure 1 A flowchart of the method provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the system structure provided in an embodiment of the present invention. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] The purpose of this invention is to provide a method and system for displaying multi-dimensional data results for basic surveying and mapping production, which improves the visualization consistency, interaction efficiency and application value of multi-dimensional surveying and mapping results, and is suitable for the comprehensive application needs of basic surveying and mapping results in multiple fields.

[0025] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0026] Figure 1 The method flowchart provided in the embodiments of the present invention is as follows: Figure 1 As shown, this invention provides a method for displaying multi-dimensional data results for basic surveying and mapping production, including: Step 100: Acquire point cloud data and image data collected in the field, as well as vector map data and 3D model data generated by indoor processing. Connect the point cloud data, image data, vector map data, and 3D model data to a unified data management and display framework deployed on a private cloud to form a multi-source surveying and mapping dataset. Step 200: Perform result standardization processing on the multi-source mapping dataset to express the results in a unified format and spatial benchmark, thereby obtaining a standardized result dataset; Step 300: Construct multi-dimensional element fusion results based on the consistent results dataset and generate cross-dimensional element association index; the cross-dimensional element association index is used to establish a traceable mapping relationship between two-dimensional vector elements, three-dimensional model elements, and image elements corresponding to image data; Step 400: Based on the cross-dimensional feature association index and the multi-dimensional feature fusion results, construct a hierarchical organization data and spatial index for multi-scale browsing in the private cloud to obtain display service data; Step 500: On the same display platform, based on the display service data, realize the unified loading of two-dimensional vector data, three-dimensional model and image data, and perform on-demand scheduling and interactive calling based on spatial index; Step 600: Perform feature query and attribute analysis based on cross-dimensional feature association index, output multi-dimensional result display results linked with the query results, and publish the multi-dimensional result display results through private cloud to achieve shared application.

[0027] Specifically, in step 100 of this embodiment, when performing multi-source mapping data access, point cloud data and image data generated from field collection are first acquired, and vector map data and 3D model data generated from indoor processing are also acquired. In this embodiment, a single access operation includes at least four types of output data: point cloud data, image data, vector map data, and 3D model data. The single access data volume for point cloud data is one point cloud file, for image data it is one set of image files, for vector map data it is one vector map file, and for 3D model data it is one 3D model file. Subsequently, this embodiment generates an output identifier for each type of output data. The output identifier is used to uniquely mark and subsequently locate individual output data. This embodiment also generates a set identifier, which is used to characterize the attribution and aggregation relationships among multiple output identifiers corresponding to the same access operation. In this embodiment, four output identifiers are generated for each of the above four types of output data, and one set identifier is generated to merge the four output identifiers into a target set for the same access operation.

[0028] After generating the result identifier and the set identifier, this embodiment connects the point cloud data, image data, vector map data, and 3D model data to a unified data management and display framework deployed on a private cloud, and generates result catalog records during the connection process. Each result catalog record corresponds one-to-one with a result identifier, describing the catalog information and location information of the corresponding result data, enabling the unified data management and display framework to retrieve and call result data based on the result catalog records. In this embodiment, four result catalog records are generated for each of the point cloud data, image data, vector map data, and 3D model data, each containing a corresponding result identifier. Furthermore, when writing the result data to the private cloud, this embodiment ensures that each result catalog record carries the same set identifier, thereby establishing a batch association between the four result catalog records connected in the same session, avoiding confusion between results from different connection batches. In this embodiment, each of the four result catalog records carries the set identifier.

[0029] After generating the result catalog records, this embodiment aggregates the result catalog records based on the set identifier to generate a dataset catalog record. The dataset catalog record includes at least the set identifier and a set of result identifiers associated with the set identifier. The set of result identifiers is used to list all result identifiers belonging to the same access, representing the scope of the multi-source mapping dataset. In this embodiment, the dataset catalog record contains one set identifier and one set of result identifiers, and the set of result identifiers contains at least four result identifiers. Subsequently, this embodiment registers the dataset catalog record to the unified data management and display framework, and uses the set of result identifiers corresponding to the set identifier and the result catalog record together to constitute the multi-source mapping dataset. This enables the unified data management and display framework to retrieve the multi-source mapping dataset based on the single dataset catalog record and further to call the multi-source mapping dataset based on the four result catalog records.

[0030] Optionally, in step 200 of this embodiment, when performing result consistency processing on the multi-source mapping dataset, the first step is to read the result catalog records in the multi-source mapping dataset that correspond one-to-one with the point cloud data, the image data, the vector map data, and the 3D model data. Based on the result catalog records, the source format information and source spatial reference information for each result are determined. The source format information characterizes the original data expression method of the result data, and the source spatial reference information characterizes the original spatial reference basis of the result data. In this embodiment, when the multi-source mapping dataset formed in the same access session is used as the processing object, the number of result catalog records read is consistent with the number of results in the multi-source mapping dataset. In this embodiment, the number of result catalog records is 4, and the source format information and the source spatial reference information are extracted and determined from the 4 result catalog records respectively.

[0031] After determining the source format information and the source spatial reference information, this embodiment converts the source format information into a target format expression supported by the unified data management and display framework, and converts the source spatial reference information into a preset target spatial reference to generate a consistent result catalog record. The target format expression is used to define the unified data expression method of the result data within the unified data management and display framework, the preset target spatial reference is used to define the unified spatial reference basis of the result data within the unified data management and display framework, and the consistent result catalog record describes the target format expression information and target spatial reference information of the converted result data. This embodiment generates corresponding consistent result catalog records for the point cloud data, the image data, the vector image data, and the 3D model data. In this embodiment, the number of consistent result catalog records is 4, and each consistent result catalog record contains 1 item of target format expression information and 1 item of target spatial reference information. The conversion results of the corresponding result data are consistently identified through the target format expression information and the target spatial reference information.

[0032] After generating the unified result catalog record, this embodiment writes the converted result data and the corresponding unified result catalog record into the private cloud, and the converted result data and the corresponding unified result catalog record together constitute the unified result dataset; wherein, the unified result dataset is used as a unified data foundation for the subsequent construction of multi-dimensional element fusion and display service data. In this embodiment, the conversion results of the point cloud data, the image data, the vector data, and the 3D model data are respectively established with the corresponding unified result catalog records and written. In this embodiment, the number of converted result data written is 4, the number of unified result catalog records written is 4, and the unified result dataset includes at least the 4 converted result data and the 4 unified result catalog records corresponding one-to-one with the 4 converted result data.

[0033] Further, in this embodiment, when performing step 300, the unified result dataset is used as the input object to parse the vector data, the 3D model data, and the image data respectively, obtaining a 2D vector element set, a 3D model element set, and an image element set. The 2D vector element set is used to represent line elements, surface elements, or point elements obtained from the parsing of the vector data; the 3D model element set is used to represent model component elements obtained from the parsing of the 3D model data; and the image element set is used to represent image element units obtained from the parsing of the image data. This embodiment generates an element identifier for each element in the 2D vector element set, the 3D model element set, and the image element set. The element identifier is used to uniquely mark and backtrack the corresponding element in the unified result dataset. In this embodiment, the 2D vector element set contains at least 10 2D vector elements, the 3D model element set contains at least 10 3D model elements, and the image element set contains at least 10 image elements, and each of these elements corresponds to one element identifier.

[0034] After generating the element identifiers, this embodiment generates element spatial range information for each element in the two-dimensional vector element set, the three-dimensional model element set, and the image element set. The element spatial range information characterizes the spatial coverage of the corresponding element under the preset target spatial reference, supporting subsequent association matching and traceable mapping. In this embodiment, the element spatial range information generated for two-dimensional vector elements includes the minimum planar enclosing range and elevation range; for three-dimensional model elements, it includes the three-dimensional enclosing range; and for image elements, it includes the image coverage range. In this embodiment, the element spatial range information is expressed using coordinate values ​​under the preset target spatial reference, and one element spatial range information is generated for each element. The total number of element spatial range information entries for the two-dimensional vector elements, the three-dimensional model elements, and the image elements is no less than 10, 10, and 10, respectively.

[0035] After generating the spatial extent information of the elements, this embodiment performs association matching between the two-dimensional vector element set and the three-dimensional model element set, and between the two-dimensional vector element set and the image element set, based on preset association criteria, to generate cross-dimensional element association records. The preset association criteria are used to determine whether the two-dimensional vector elements and candidate three-dimensional model elements or candidate image elements meet the association conditions. The preset association criteria used in this embodiment include a spatial extent intersection criterion and a distance threshold criterion. The spatial extent intersection criterion is used to determine whether the spatial extent information of the two-dimensional vector elements overlaps with the spatial extent information of the candidate elements. The distance threshold criterion is used to determine whether the distance between the spatial position of the two-dimensional vector elements and the spatial position of the candidate elements is less than a preset distance threshold. In this embodiment, the preset distance threshold is 2. The generated cross-dimensional element association records include at least the element identifier of the two-dimensional vector elements and the element identifier of the associated elements, and the cross-dimensional element association index is constructed using these records. In this embodiment, each two-dimensional vector element is associated with at least one three-dimensional model element or one image element to form no fewer than 10 cross-dimensional element association records. Subsequently, in this embodiment, the two-dimensional vector element set, the three-dimensional model element set, and the image element set are organized according to a unified calling structure. The unified calling structure is used to use the element identifier as a unified reference entry to perform backtracking calls on related elements, thereby forming the multi-dimensional element fusion result and establishing a traceable mapping relationship between the two-dimensional vector elements, the three-dimensional model elements, and the image elements corresponding to the image data.

[0036] Further, in step 400 of this embodiment, the cross-dimensional element association index and the multi-dimensional element fusion result are used as input objects to construct hierarchical organization data and spatial indexes for multi-scale browsing in the private cloud, so as to generate display service data for subsequent display calls. The preset scale level is used to characterize the data organization hierarchy corresponding to different display scales during multi-scale browsing. This embodiment presets multiple scale levels according to the clarity requirements of the result display and the data volume control requirements. In this embodiment, the preset scale level includes three scale levels, respectively used to correspond to coarse-scale browsing, medium-scale browsing, and fine-scale browsing. The data organization granularity corresponding to each scale level is predetermined by this embodiment to ensure that data under the same scale level can be uniformly loaded on the display platform.

[0037] After determining the preset scale level, this embodiment organizes the multi-dimensional element fusion results hierarchically according to the preset scale level, generating hierarchical data units corresponding to each scale level. The hierarchical data unit serves as the organizational carrier of the multi-dimensional element fusion results at a specific scale level, carrying the set range of two-dimensional vector elements, three-dimensional model elements, and image elements that need to be uniformly loaded at that scale level. This embodiment generates at least one hierarchical data unit at each scale level and generates a unit identifier for each hierarchical data unit. The unit identifier is used to uniquely identify the corresponding hierarchical data unit during subsequent retrieval, scheduling, and updating processes. In this embodiment, at least two hierarchical data units are generated for each of the three scale levels, resulting in at least six hierarchical data units, and at least six unit identifiers are generated for each of the at least six hierarchical data units.

[0038] After generating the hierarchical data units and unit identifiers, this embodiment generates unit spatial range information for each hierarchical data unit and constructs a spatial index based on the unit identifier and the unit spatial range information. The unit spatial range information characterizes the spatial coverage of the corresponding hierarchical data unit under the preset target spatial benchmark, supporting range retrieval and on-demand scheduling during multi-scale browsing. The spatial index establishes a retrieval relationship between the unit identifier and the unit spatial range information, enabling the determination of the set of hierarchical data units to be loaded under given viewing range and display scale conditions. This embodiment generates one unit spatial range information entry for each hierarchical data unit and writes the unit identifier and the corresponding unit spatial range information into the spatial index. In this embodiment, the number of unit spatial range information entries is consistent with the number of hierarchical data units, with no fewer than six entries, and the spatial index contains at least six index entries.

[0039] After completing the spatial index construction, this embodiment writes the hierarchical data units, unit identifiers, unit spatial range information, spatial indexes, and cross-dimensional element association indexes into the private cloud, and makes the hierarchical data units, unit identifiers, unit spatial range information, spatial indexes, and cross-dimensional element association indexes together constitute the display service data; wherein, the display service data is used as the basic data set for the display platform to perform unified loading, on-demand scheduling, and interactive calls. In this embodiment, when writing to the private cloud, each hierarchical data unit is kept in a one-to-one correspondence with its corresponding unit identifier and corresponding unit spatial range information, and the cross-dimensional element association index and the spatial index are both referenced by the display service data to ensure that cross-dimensional element linkage calls can be realized in the same display platform in the future; in this embodiment, the display service data includes at least 6 hierarchical data units, at least 6 unit identifiers, at least 6 pieces of unit spatial range information, 1 spatial index, and 1 cross-dimensional element association index.

[0040] In this embodiment, when performing "incremental maintenance in step 400", incremental changes to the multi-source mapping dataset are first detected, and the set of affected result identifiers is determined. The incremental change refers to the addition, replacement, or deletion of result data relative to the previous state of writing display service data to the private cloud. The result identifier set is used to characterize the result data corresponding to the incrementally changed data. After detecting an incremental change, this embodiment extracts the result identifiers corresponding to the incremental change and forms the result identifier set, which serves as the input range for subsequent index maintenance. Quantitative small anchor points: In this embodiment, at least one incremental change is detected within an incremental maintenance cycle, and the result identifier set contains at least one result identifier. Furthermore, if the result identifier set contains three result identifiers, the incremental maintenance is only performed on the data range corresponding to those three result identifiers.

[0041] After determining the set of result identifiers, this embodiment determines the set of affected element identifiers based on the set of result identifiers, and only updates the cross-dimensional element association records corresponding to the set of element identifiers to maintain the cross-dimensional element association index; wherein, the set of element identifiers is the set of element identifiers that need to re-establish association relationships due to the influence of the set of result identifiers, and the cross-dimensional element association records are the association records generated in step 300 and used to construct the cross-dimensional element association index. This embodiment further determines the set of affected hierarchical data units based on the set of result identifiers, and only updates the unit spatial range information and spatial index entries corresponding to the set of hierarchical data units to maintain the consistency between the spatial index and the display service data; wherein, the set of hierarchical data units is the set of hierarchical data units that has a corresponding relationship with the spatial range covered by the set of result identifiers, and the spatial index entries are the index entries constructed in step 400 and used to retrieve hierarchical data units. In this embodiment, the update scope is limited to the records and entries corresponding to the element identifier set and the hierarchical data unit set during the update process, so that the cross-dimensional element association index, spatial index and display service data are consistent; quantified small anchor points: in this embodiment, when the result identifier set contains 3 result identifiers, the determined affected element identifier set does not exceed 30 element identifiers, the determined affected hierarchical data unit set does not exceed 6 hierarchical data units, and the number of updated spatial index entries does not exceed 6.

[0042] Furthermore, in this embodiment, during step 500, the unified loading of two-dimensional vector data, three-dimensional models, and image data is achieved based on the display service data within the same display platform, and on-demand scheduling and interactive invocation are performed based on the spatial index. This embodiment first obtains the current field of view and current display scale of the display platform. The current field of view characterizes the spatial range covered by the current display window of the display platform, and the current display scale characterizes the scale level corresponding to the current display magnification of the display platform. In this embodiment, the spatial coverage area corresponding to the current field of view is one continuous spatial range, and the current display scale corresponds to one of the three scale levels preset in step 400.

[0043] After obtaining the current field of view and the current display scale, this embodiment determines a set of hierarchical data units to be loaded based on the current field of view, the current display scale, and the spatial index, and reads the set of hierarchical data units to be loaded from the private cloud. The set of hierarchical data units to be loaded is used to carry the display data range that matches the current field of view at the current display scale, ensuring that the corresponding scale can be uniformly loaded in the display platform. This embodiment retrieves hierarchical data units that have an overlap relationship with the current field of view and correspond to the current display scale through the spatial index, and determines the retrieved hierarchical data units as the set of hierarchical data units to be loaded. In this embodiment, the set of hierarchical data units to be loaded contains two hierarchical data units, and both hierarchical data units correspond to the same current display scale.

[0044] After completing the reading of the hierarchical data unit set to be loaded, this embodiment completes the unified loading of two-dimensional vector data, three-dimensional models, and image data based on the hierarchical data unit set to be loaded in the display platform, and performs on-demand scheduling and interactive invocation based on the spatial index. The unified loading is used to synchronously present the two-dimensional vector data, the three-dimensional model, and the image data in the same spatial view; the on-demand scheduling is used to update the corresponding loaded content when the field of view or display scale changes; and the interactive invocation is used to trigger the update of the loaded content corresponding to the interaction target after receiving an interaction command. In this embodiment, after receiving an interaction command on the display platform, the current field of view or the current display scale is updated according to the interaction command, and the process of "determining the hierarchical data unit set to be loaded based on the current field of view, the current display scale, and the spatial index, and reading the hierarchical data unit set to be loaded from the private cloud" is repeated to achieve the on-demand scheduling and interactive invocation. In this embodiment, during the continuous receipt of 5 interaction commands, each interaction command triggers at least one re-determination and reading of the hierarchical data unit set to be loaded.

[0045] Furthermore, in this embodiment, during step 600, feature querying and attribute analysis are performed based on the cross-dimensional feature association index to output a multi-dimensional result display that is linked to the query results. After the multi-dimensional result display is completed, it is published through the private cloud to achieve shared application. This embodiment maintains the cross-dimensional feature association index and the display service data in a callable state within the display platform, enabling feature queries to be conducted based on the unified loading of two-dimensional vector data, three-dimensional models, and image data. Quantitative small anchor points: This embodiment maintains at least one cross-dimensional feature association index and one set of display service data in a callable state within the display platform.

[0046] This embodiment receives a query request for a target element on the display platform and determines the element identifier of the target element. The query request is a request to select or retrieve elements from the content already loaded on the display platform. The target element is the element to be queried specified by the query request, and the element identifier is the identifier information generated in step 300 for uniquely marking the element. After receiving the query request, this embodiment uses the element pointed to by the query request as the target element and extracts the element identifier of the target element from the content already loaded on the display platform. Quantitative small anchor points: This embodiment determines the element identifier of one target element in a single query request and determines the element identifiers of three target elements respectively when three consecutive query requests are received.

[0047] After determining the element identifier of the target element, this embodiment retrieves the cross-dimensional element association index based on the element identifier to obtain a set of associated element identifiers related to the target element, and obtains the element attribute information of the corresponding element based on the set of associated element identifiers. The set of associated element identifiers represents the set of element identifiers that have a traceable mapping relationship with the target element, and the element attribute information represents the attribute content associated with the target element and the corresponding element in the set of associated element identifiers. After retrieving the cross-dimensional element association index, this embodiment obtains a set of associated element identifiers containing at least one associated element identifier, and obtains the element attribute information of the target element and the corresponding element in the set of associated element identifiers respectively. Quantitative small anchor points: The set of associated element identifiers obtained in this embodiment contains at least one associated element identifier, and the obtained element attribute information contains at least two sets of element attribute information, the two sets of element attribute information corresponding to the target element and the at least one associated element identifier respectively.

[0048] After obtaining the element attribute information, this embodiment performs attribute analysis processing on the element attribute information to generate analysis results, and based on the analysis results, updates the loaded content corresponding to the target element and the related element identifier set on the display platform to output the multi-dimensional result display result. The attribute analysis processing is used to statistically analyze, filter, or compare the element attribute information to form analysis results that can be directly used for display. The linked update is used to establish a correspondence between the analysis results and the loaded content corresponding to the target element and the related element identifier set and trigger the display. After generating the analysis results, this embodiment synchronously updates the loaded content corresponding to the target element and the related element identifier set on the display platform, ensuring that the target element and the related elements present consistent query feedback in the same display view. Quantitative small anchor points: This embodiment performs at least one linked update on the loaded content corresponding to the target element and the related element identifier set, and presents at least one analysis result in the linked update.

[0049] After outputting the multi-dimensional results display, this embodiment publishes the results through the private cloud to achieve shared application. This embodiment generates a publication record corresponding to the multi-dimensional results display, wherein the publication record includes a publication identifier, a data range description, and access permission rules; the publication identifier uniquely identifies a publication action, the data range description limits the data coverage corresponding to the publication, and the access permission rules limit the access conditions for the accessing subject. This embodiment associates the publication record with the display service data corresponding to the multi-dimensional results display, and writes the publication record to the private cloud to generate publication entry information. The publication entry information serves as a shared access entry in the unified data management and display framework. This embodiment performs access control on the publication entry information based on the access permission rules and records access logs to achieve the shared application. Quantitative small anchor point: This embodiment generates one publication record for each multi-dimensional results display, and the publication record includes one publication identifier, one data range description, and one access permission rule; the access logs recorded in this embodiment contain at least 10 access records.

[0050] Corresponding to the above methods, such as Figure 2 As shown, this embodiment also provides a multi-dimensional data results display system for basic surveying and mapping production, including: The data access and dataset construction unit is used to acquire point cloud data and image data collected in the field, as well as vector map data and 3D model data generated by indoor processing. The point cloud data, image data, vector map data and 3D model data are accessed and deployed in a unified data management and display framework on a private cloud to form a multi-source surveying and mapping dataset. The results standardization processing unit is used to perform results standardization processing on the multi-source mapping dataset to unify the format of the results and the spatial benchmark, thereby obtaining a standardized results dataset. The multi-dimensional element fusion and association index generation unit is used to construct multi-dimensional element fusion results based on the unified result dataset and generate cross-dimensional element association indexes; the cross-dimensional element association indexes are used to establish traceable mapping relationships between two-dimensional vector elements, three-dimensional model elements, and image elements corresponding to the image data. The hierarchical organization and spatial index construction unit is used to construct hierarchical organization data and spatial index for multi-scale browsing in the private cloud based on the cross-dimensional element association index and the multi-dimensional element fusion result, so as to obtain display service data. The unified loading and on-demand scheduling interaction unit is used to load two-dimensional vector data, three-dimensional models and image data in the same display platform based on the display service data, and to perform on-demand scheduling and interactive calls based on the spatial index. The element query analysis and results publishing unit is used to perform element queries and attribute analysis based on the cross-dimensional element association index, output multi-dimensional results display results linked with the query results, and publish the multi-dimensional results display results through the private cloud to achieve shared applications.

[0051] The beneficial effects of this invention are as follows: (1) This invention integrates point cloud data, image data, vector data and 3D model data into a unified data management and display framework deployed on a private cloud, and organizes the integrated results with result identifiers, set identifiers, result catalog records and dataset catalog records, so that multi-source results have clear ownership relationships and searchable entry points when forming multi-source surveying and mapping datasets. This avoids the problems of scattered storage of results, unclear batch relationships and reliance on manual location in the prior art, thereby improving the management consistency and traceability of basic surveying and mapping results in production flow and delivery applications.

[0052] (2) This invention performs result consistency processing on multi-source mapping datasets, converts the source format information and source spatial reference information of each result into a target format expression and a preset target spatial reference, and constrains the conversion results through a consistent result catalog record, so that point cloud data, image data, vector data and three-dimensional model data maintain a consistent spatial expression and a unified format entry under the same spatial reference, reducing the risk of misalignment, scale inconsistency and parsing incompatibility when displaying cross-results, and providing a stable data foundation for subsequent multi-dimensional element fusion, hierarchical organization and unified loading.

[0053] (3) Based on the unified result dataset, the present invention constructs multi-dimensional element fusion results and generates cross-dimensional element association index. By generating element identifiers and element spatial range information for two-dimensional vector elements, three-dimensional model elements and image elements respectively, and forming cross-dimensional element association records according to preset association criteria, a traceable mapping relationship is established between two-dimensional vector elements, three-dimensional model elements and image elements. This solves the problem that in the prior art, two-dimensional and three-dimensional, image and model can only be displayed side by side and it is difficult to form element-level linkage. This enables cross-dimensional results to achieve associated positioning, associated query and associated presentation around the same target element.

[0054] (4) Based on the cross-dimensional element association index and the multi-dimensional element fusion result, this invention constructs hierarchical organization data and spatial index for multi-scale browsing in a private cloud, so that the display service data can be organized by scale with hierarchical data units as carriers, and can be quickly retrieved by field of view and display scale through unit spatial range information and spatial index entries. Thus, the unified loading of two-dimensional vector data, three-dimensional model and image data can be realized on the same display platform, and the updates can be scheduled as needed when the field of view or scale changes, avoiding the performance pressure caused by one-time loading, improving the response efficiency and interactive continuity of multi-dimensional results browsing, and adapting to the display needs of large-scale, multi-scale basic surveying and mapping results.

[0055] (5) This invention performs element query and attribute analysis under the support of cross-dimensional element association index, and updates the analysis results in conjunction with the loaded content of the target element and its related elements, so that the query results can be fed back synchronously in multiple dimensions such as two-dimensional, three-dimensional and image, improving the intuitiveness of the results display and the usability of the analysis; at the same time, this invention publishes multi-dimensional results display results through private cloud, uses the publishing record to limit the publishing identifier, data range description and access permission rules, and achieves controlled sharing through the publishing entry information, and achieves access traceability by combining access logs, which solves the problems of sharing dependence on copy, difficulty in version unification and difficulty in permission management in the prior art, thereby significantly improving the sharing efficiency and application guarantee capability of basic surveying and mapping results.

[0056] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0057] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for displaying multi-dimensional data results for basic surveying and mapping production, characterized in that, include: Acquire point cloud data and image data collected in the field, as well as vector map data and 3D model data generated by indoor processing. Integrate the point cloud data, image data, vector map data, and 3D model data into a unified data management and display framework deployed on a private cloud to form a multi-source mapping dataset. The multi-source mapping dataset is subjected to result standardization processing to express the results in a unified format and spatial benchmark, resulting in a standardized result dataset. Based on the unified result dataset, a multi-dimensional element fusion result is constructed, and a cross-dimensional element association index is generated; the cross-dimensional element association index is used to establish a traceable mapping relationship between two-dimensional vector elements, three-dimensional model elements, and image elements corresponding to the image data; Based on the cross-dimensional element association index and the multi-dimensional element fusion result, a hierarchical organization data and spatial index for multi-scale browsing are constructed in the private cloud to obtain display service data. Within the same display platform, two-dimensional vector data, three-dimensional models, and image data are uniformly loaded based on the display service data, and on-demand scheduling and interactive calls are performed based on the spatial index. Based on the cross-dimensional element association index, perform element queries and attribute analysis, output multi-dimensional results display results linked with the query results, and publish the multi-dimensional results display results through the private cloud to achieve shared application.

2. The method for displaying multi-dimensional data results for basic surveying and mapping production according to claim 1, characterized in that, The point cloud data, image data, vector map data, and 3D model data are integrated into a unified data management and display framework deployed on a private cloud to form a multi-source mapping dataset, including: Result identifiers are generated for the point cloud data, the image data, the vector image data, and the 3D model data, respectively, and a set identifier is generated to represent the same access. Based on the achievement identifier and the set identifier, the point cloud data, the image data, the vector data and the 3D model data are written into the private cloud, and an achievement catalog record corresponding one-to-one with the achievement identifier is generated; The result catalog records are aggregated based on the set identifier to generate a dataset catalog record, wherein the dataset catalog record includes at least the set identifier and the set of result identifiers associated with the set identifier; The dataset directory records are registered to the unified data management and display framework, and the result identifier set corresponding to the set identifier and the result directory records together constitute the multi-source mapping dataset, so that the multi-source mapping dataset can be retrieved and called.

3. The method for displaying multi-dimensional data results for basic surveying and mapping production according to claim 1, characterized in that, The multi-source mapping dataset is subjected to result standardization processing to express the results in a unified format and spatial benchmark, resulting in a standardized result dataset, including: Read the result catalog records corresponding to the point cloud data, image data, vector data and 3D model data in the multi-source mapping dataset, and determine the source format information and source spatial reference information of each result based on the result catalog records; The source format information is converted into a target format expression supported by the unified data management and display framework, and the source spatial reference information is converted into a preset target spatial reference to generate a consistent result catalog record; the consistent result catalog record includes target format expression information and target spatial reference information; The transformed result data and the corresponding consistent result directory records are written into the private cloud, and the transformed result data and the corresponding consistent result directory records together constitute the consistent result dataset.

4. The method for displaying multi-dimensional data results for basic surveying and mapping production according to claim 1, characterized in that, Based on the unified dataset, a multi-dimensional feature fusion result is constructed, and a cross-dimensional feature association index is generated, including: Based on the unified result dataset, a two-dimensional vector element set, a three-dimensional model element set, and an image element set are obtained by parsing, and element identifiers are generated for the elements in the two-dimensional vector element set, the three-dimensional model element set, and the image element set; Generate feature spatial extent information for each feature in the two-dimensional vector feature set, the three-dimensional model feature set, and the image feature set; Based on preset association criteria, the two-dimensional vector element set and the three-dimensional model element set, as well as the two-dimensional vector element set and the image element set, are associated and matched to generate cross-dimensional element association records; the cross-dimensional element association records include at least the element identifier of the two-dimensional vector element and the element identifier of the associated element. The cross-dimensional element association index is constructed using the cross-dimensional element association records, and the two-dimensional vector element set, the three-dimensional model element set, and the image element set are organized according to a unified calling structure to form the multi-dimensional element fusion result.

5. The method for displaying multi-dimensional data results for basic surveying and mapping production according to claim 1, characterized in that, Based on the cross-dimensional feature association index and the multi-dimensional feature fusion result, a hierarchical organization data and spatial index for multi-scale browsing are constructed in the private cloud to obtain display service data, including: The multi-dimensional element fusion results are hierarchically organized according to a preset scale level to generate hierarchical data units corresponding to each scale level, and a unit identifier is generated for each hierarchical data unit. Generate unit spatial range information for each of the hierarchical data units, and construct the spatial index based on the unit identifier and the unit spatial range information; The hierarchical data unit, the unit identifier, the unit spatial range information, the spatial index, and the cross-dimensional element association index are written into the private cloud, and the hierarchical data unit, the unit identifier, the unit spatial range information, the spatial index, and the cross-dimensional element association index together constitute the display service data.

6. The method for displaying multi-dimensional data results for basic surveying and mapping production according to claim 1, characterized in that, Within the same display platform, the unified loading of 2D vector data, 3D models, and image data is achieved based on the display service data, and on-demand scheduling and interactive invocation are performed based on the spatial index, including: Obtain the current field of view and current display scale of the display platform; Based on the current field of view, the current display scale, and the spatial index, determine the set of hierarchical data units to be loaded, and read the set of hierarchical data units to be loaded from the private cloud; In the display platform, the unified loading of two-dimensional vector data, three-dimensional model and image data is completed based on the set of hierarchical data units to be loaded. After receiving the interaction command, the display platform updates the current field of view or the current display scale according to the interaction command, and repeats the step "determine the set of hierarchical data units to be loaded based on the current field of view, the current display scale and the spatial index, and read the set of hierarchical data units to be loaded from the private cloud" to realize the on-demand scheduling and the interactive call.

7. The method for displaying multi-dimensional data results for basic surveying and mapping production according to claim 1, characterized in that, Based on the cross-dimensional feature association index, feature queries and attribute analyses are performed, and multi-dimensional results are displayed in conjunction with the query results, including: The platform receives a query request for a target element and determines the element identifier of the target element. Based on the element identifier, the cross-dimensional element association index is retrieved to obtain a set of associated element identifiers related to the target element, and the element attribute information of the corresponding element is obtained based on the set of associated element identifiers. The attribute information of the elements is subjected to attribute analysis processing to generate analysis results. Based on the analysis results, the loading content corresponding to the target element and the set of associated element identifiers on the display platform is updated in a coordinated manner to output the multidimensional result display results.

8. The method for displaying multi-dimensional data results for basic surveying and mapping production according to claim 1, characterized in that, The multi-dimensional results display is published through the private cloud to achieve shared applications, including: Generate a publication record corresponding to the multidimensional results display; the publication record includes a publication identifier, a data range description, and access permission rules; The publishing record is associated with the display service data corresponding to the multi-dimensional results display, and the publishing record is written to the private cloud to generate publishing entry information; Access control is performed on the published entry information based on the access permission rules, and access logs are recorded to realize the shared application.

9. The method for displaying multi-dimensional data results for basic surveying and mapping production according to claim 1, characterized in that, Also includes: Detect incremental changes in the multi-source mapping dataset and determine the set of affected result identifiers; Based on the set of result identifiers, determine the set of affected element identifiers, and only update the cross-dimensional element association records corresponding to the set of element identifiers to maintain the cross-dimensional element association index; Based on the set of results identifiers, the affected set of hierarchical data units is determined, and only the spatial range information and spatial index entries corresponding to the set of hierarchical data units are updated to maintain the consistency between the spatial index and the display service data.

10. A multi-dimensional data results display system for basic surveying and mapping production, characterized in that, include: The data access and dataset construction unit is used to acquire point cloud data and image data collected in the field, as well as vector map data and 3D model data generated by indoor processing. The point cloud data, image data, vector map data and 3D model data are accessed and deployed in a unified data management and display framework on a private cloud to form a multi-source surveying and mapping dataset. The results standardization processing unit is used to perform results standardization processing on the multi-source mapping dataset to unify the format of the results and the spatial benchmark, thereby obtaining a standardized results dataset. The multi-dimensional element fusion and association index generation unit is used to construct multi-dimensional element fusion results based on the unified result dataset and generate cross-dimensional element association indexes; the cross-dimensional element association indexes are used to establish traceable mapping relationships between two-dimensional vector elements, three-dimensional model elements, and image elements corresponding to the image data. The hierarchical organization and spatial index construction unit is used to construct hierarchical organization data and spatial index for multi-scale browsing in the private cloud based on the cross-dimensional element association index and the multi-dimensional element fusion result, so as to obtain display service data. The unified loading and on-demand scheduling interaction unit is used to load two-dimensional vector data, three-dimensional models and image data in the same display platform based on the display service data, and to perform on-demand scheduling and interactive calls based on the spatial index. The element query analysis and results publishing unit is used to perform element queries and attribute analysis based on the cross-dimensional element association index, output multi-dimensional results display results linked with the query results, and publish the multi-dimensional results display results through the private cloud to achieve shared applications.

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