Three-dimensional model data management system and method for engineering surveying and mapping

Abstract

The invention relates to the technical field of data processing and analysis, in particular to a three-dimensional model data management system and method for engineering surveying and mapping. The method comprises the following steps: acquiring engineering surveying and mapping data; preprocessing the engineering surveying and mapping data to obtain standard engineering surveying and mapping data; performing multi-dimensional feature recognition on the standard engineering surveying and mapping data to obtain multi-dimensional surveying and mapping feature data; performing key engineering surveying and mapping information extraction on the multi-dimensional surveying and mapping characteristic data to obtain key engineering surveying and mapping information; performing association analysis on the multi-dimensional surveying and mapping characteristic data and the key engineering surveying and mapping information to generate multi-dimensional engineering surveying and mapping associated data; monitoring the engineering surveying and mapping data in real time to obtain engineering surveying and mapping real-time monitoring data; through a data processing technology, a geographic information system technology and a three-dimensional mapping technology, integrated management of multi-source heterogeneous data is realized, and dynamic updating management of the data is realized, so that the presentation accuracy of the engineering surveying and mapping three-dimensional model is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing and analysis, and in particular to a three-dimensional model data management system and method for engineering surveying and mapping. Background Art

[0002] Engineering surveying relies on 3D geographic information system (GIS) technology, which has expanded from traditional ground surveying methods to aerial photogrammetry, satellite remote sensing measurement, and laser scanning measurement, etc.; and maps engineering measurements from two-dimensional planes to three-dimensional space; specifically, by simulating and analyzing topography, buildings, and other spatial objects, the attributes of geographic objects are statistically and aggregated, and the average height of the ground, population density, or land use type distribution in the engineering area are calculated; based on the data information obtained by 3D geographic information system technology, a 3D model of engineering surveying is constructed to better display the relevant situation of engineering surveying; however, the existing 3D model management method for engineering surveying is difficult to achieve integrated management of multi-source heterogeneous data when facing different types of engineering surveying data; and it is difficult to achieve dynamic data update management for real-time engineering surveying data, resulting in low accuracy of engineering surveying information presented by the 3D model. Summary of the invention

[0003] Based on this, it is necessary to provide a three-dimensional model data management system and method for engineering surveying and mapping to solve at least one of the above technical problems.

[0004] To achieve the above object, a 3D model data management method for engineering surveying and mapping is provided, the method comprising the following steps: Step S1: Acquire engineering surveying and mapping data; pre-process the engineering surveying and mapping data to obtain standard engineering surveying and mapping data; perform multi-dimensional feature recognition on the standard engineering surveying and mapping data to obtain multi-dimensional surveying and mapping feature data; extract key engineering surveying and mapping information from the multi-dimensional surveying and mapping feature data to obtain key engineering surveying and mapping information; Step S2: performing correlation analysis on the multi-dimensional surveying and mapping feature data and the key engineering surveying and mapping information to generate multi-dimensional engineering surveying and mapping correlation data; performing real-time monitoring on the engineering surveying and mapping data to obtain engineering surveying and mapping real-time monitoring data; Step S3: extracting update information from the engineering surveying and mapping real-time monitoring data to generate real-time surveying and mapping update information; performing multi-source heterogeneous intelligent integration of standard engineering surveying and mapping data according to the multi-dimensional engineering surveying and mapping associated data and the real-time surveying and mapping update information to obtain multi-source heterogeneous integrated data; Step S4: Perform three-dimensional data mapping on multi-source heterogeneous integrated data through multi-dimensional engineering surveying and mapping associated data to obtain three-dimensional mapping associated data; construct an engineering surveying and mapping three-dimensional model using multi-source heterogeneous integrated data and three-dimensional mapping associated data to obtain an engineering surveying and mapping three-dimensional model; perform real-time dynamic adjustment on the engineering surveying and mapping three-dimensional model based on real-time surveying and mapping update information to obtain a real-time three-dimensional model for engineering surveying and mapping; perform three-dimensional visualization enhancement on the real-time three-dimensional model for engineering surveying and mapping to obtain a three-dimensional enhanced model for engineering surveying and mapping; display an engineering surveying and mapping report based on the three-dimensional enhanced model for engineering surveying and mapping to generate an engineering surveying and mapping visualization report.

[0005] The present invention provides a basic data source for subsequent data processing and analysis by acquiring engineering surveying and mapping data; pre-processes engineering surveying and mapping data and converts them into standard engineering surveying and mapping data to ensure data consistency and comparability; the multi-dimensional feature recognition process can extract key geometric and non-geometric features from standard engineering surveying and mapping data; the extraction of key engineering surveying and mapping information further refines the multi-dimensional surveying and mapping feature data, making it more focused on information that has an important impact on engineering decision-making, and improving the availability and pertinence of information. Correlation analysis of multi-dimensional surveying and mapping feature data with key engineering surveying and mapping information can clarify the inherent connection between different surveying and mapping features; real-time monitoring of engineering surveying and mapping data and acquisition of real-time monitoring data of engineering surveying and mapping can ensure the timeliness of engineering surveying and mapping information and provide the latest data support for engineering management; the extraction of updated information provides a dynamic update mechanism for standard engineering surveying and mapping data, ensuring the continuous accuracy and relevance of data. The combination of multi-dimensional engineering surveying and mapping related data and real-time surveying and mapping update information, and through multi-source heterogeneous intelligent integration, can integrate data from different sources and formats, improving the comprehensiveness and availability of data; multi-source heterogeneous intelligent integration of standard engineering surveying and mapping data based on multi-dimensional engineering surveying and mapping related data and real-time surveying and mapping update information enables engineering surveying and mapping data to reflect the latest engineering status. Through three-dimensional data mapping, multi-source heterogeneous integrated data is converted into three-dimensional mapping related data, providing accurate spatial information for subsequent three-dimensional model construction; using multi-source heterogeneous integrated data and three-dimensional mapping related data to construct engineering surveying and mapping three-dimensional models can intuitively display the three-dimensional spatial structure of the project and improve the visualization of information; based on real-time surveying and mapping update information, the engineering surveying and mapping three-dimensional model is adjusted in real time and dynamically to reflect the latest status of the project; the three-dimensional visualization enhancement process further enhances the visual effect and information expression ability of the engineering surveying and mapping three-dimensional model, making the engineering surveying and mapping three-dimensional enhanced model more intuitive and easy to understand; the engineering surveying and mapping report display based on the engineering surveying and mapping three-dimensional enhanced model can display information clearly, accurately and intuitively. Therefore, the present invention realizes the integrated management of multi-source heterogeneous data and the dynamic update management of data through data processing technology, geographic information system technology and three-dimensional mapping technology, thereby improving the accuracy of the presentation of engineering surveying and mapping three-dimensional models.

[0006] Preferably, step S1 comprises the following steps: Step S11: using sensors and drone cameras to obtain engineering surveying and mapping data; Step S12: preprocessing the engineering surveying and mapping data to generate standard engineering surveying and mapping data, wherein the data preprocessing includes data decryption, data cleaning, data denoising and data standardization; Step S13: performing surface morphological feature recognition on the standard engineering surveying and mapping data to generate surface morphological feature data; performing building morphological feature extraction on the standard engineering surveying and mapping data according to the surface morphological feature data to obtain building morphological feature data; determining the relationship between surface buildings on the surface morphological feature data based on the building morphological feature data to generate surface building relationship data; integrating the surface morphological feature data, the building morphological feature data and the surface building relationship data to obtain multi-dimensional surveying and mapping feature data; Step S14: Perform micro- and macro-segmentation of the surface morphological characteristics of the multi-dimensional surveying and mapping feature data to obtain surface morphological micro- and macro-information; perform morphological structuring processing on the building morphological feature data through the surface morphological micro- and macro-information to generate building morphological structured information; perform surface-building relationship feature mapping on the surface morphological micro- and macro-information according to the building morphological structured information to obtain surface building mapping characteristics; integrate the surface morphological micro- and macro-information, the building morphological structured information and the surface building mapping information to obtain key engineering surveying and mapping information.

[0007] The present invention utilizes the engineering surveying and mapping data acquired by sensors and drone cameras to display surface information and building features; performs data preprocessing, including decryption, cleaning, denoising and standardization, to ensure the accuracy and availability of the data; performs surface morphological feature recognition on standard engineering surveying and mapping data to generate surface morphological feature data; performs building morphological feature extraction on standard engineering surveying and mapping data based on the surface morphological feature data to obtain building morphological feature data; determines the relationship between surface buildings on the surface morphological feature data based on the building morphological feature data to generate surface building relationship data; thereby improving the dimension and depth of the data, making the information on the surface and buildings richer and more accurate; performs micro-macro subdivision on the multi-dimensional surveying and mapping feature data to clarify the micro-macro information of the surface morphology; further, performs structured processing on the building morphological feature data to accurately reflect key engineering surveying and mapping information.

[0008] Preferably, step S2 comprises the following steps: Step S21: performing spatial structure matching on the building morphology structured information according to the surface morphology feature data to generate surface building spatial matching data; performing surface contour morphology recognition on the surface morphology micro-macro information through the surface building spatial matching data to obtain surface contour morphology data; Step S22: Calculate the terrain undulation of the surface contour morphology data to obtain terrain undulation data; determine the mapping degree of the surface building mapping information based on the terrain undulation data to generate surface building mapping degree data; identify the building contour features of the building morphology feature data according to the surface building mapping degree data to obtain building contour feature data; Step S23: Calculate the building outline vector of the building outline feature data to obtain the building outline vector data; determine the regional building distribution density of the surface building relationship data through the building outline vector data and the surface building mapping degree data to obtain the regional building distribution density; Step S24: performing metric scale association on the surface morphological feature data and the surface morphological micro-macro information to obtain metric scale association data; performing geometric attribute association on the surface contour morphological data and the building contour vector data to obtain geometric attribute association data; performing spatial distribution association on the terrain relief data and the regional building distribution density to obtain spatial distribution association data; integrating the metric scale association data, the geometric attribute association data and the spatial distribution association data to generate multi-dimensional engineering surveying and mapping association data; Step S25: Use the drone camera to perform real-time continuous imaging processing on the engineering surveying and mapping data to obtain real-time continuous imaging data for surveying and mapping; perform image digital conversion on the real-time continuous imaging data for surveying and mapping to obtain real-time continuous digital information for surveying and mapping; perform real-time monitoring on the real-time continuous digital information for surveying and mapping to obtain real-time monitoring data for engineering surveying and mapping.

[0009] The present invention uses surface morphological feature data to match the spatial structure of building morphological structured information, and clarifies the structural matching relationship of building space; uses surface building spatial matching data to identify surface contour morphology of surface morphological micro-macro information, and can further refine the morphological characteristics of the surface; uses surface contour morphological data to measure terrain undulation, and provides quantitative indicators for the microscopic characteristics of the surface; uses terrain undulation data to measure the mapping degree of surface building mapping information, and clarifies the corresponding relationship between buildings and terrain; uses building contour feature data to calculate building contour vectors, and can obtain building contour vector data; uses building contour vector data and surface building mapping degree data to match the ground The regional building distribution density can be determined by using the table-building relationship data to determine the regional building distribution density; the surface morphological feature data and the surface morphological micro-macro information are metrically associated to determine the metric scale association; the surface contour morphological data and the building contour vector data are geometrically associated to determine the geometric attribute association; the terrain undulation data and the regional building distribution density are spatially associated to determine the spatial distribution association; the drone camera is used to perform real-time continuous imaging processing on the engineering surveying and mapping data, and the image is digitally converted to obtain real-time continuous digital information of surveying and mapping, thereby realizing real-time monitoring of the project progress and changes, and providing instant information feedback.

[0010] Preferably, step S3 comprises the following steps: Step S31: performing incremental capture of surveying and mapping information on the real-time monitoring data of engineering surveying and mapping to generate incremental surveying and mapping information data; performing feature comparison on the standard engineering surveying and mapping data according to the incremental surveying and mapping information data to obtain incremental information comparison features; performing time series difference recognition on the incremental information comparison features to generate incremental time series difference information; Step S32: extracting difference points from the engineering surveying and mapping real-time monitoring data through the incremental time series difference information to generate surveying and mapping difference point data; marking change points of the standard engineering surveying and mapping data based on the surveying and mapping difference point data to obtain engineering surveying and mapping change data; extracting update information from the engineering surveying and mapping real-time monitoring data based on the engineering surveying and mapping change data to generate real-time surveying and mapping update information; Step S33: performing multi-source correlation feature recognition on the multi-dimensional engineering surveying and mapping related data to obtain surveying and mapping multi-source correlation feature data; performing dynamic data synchronization on the real-time surveying and mapping update information to obtain surveying and mapping data synchronization information; Step S34: Based on the surveying and mapping multi-source associated feature data and the surveying and mapping data synchronization information, multi-source heterogeneous intelligent integration is performed on the standard engineering surveying and mapping data to obtain multi-source heterogeneous integrated data.

[0011] The present invention captures the incremental surveying and mapping information of the real-time monitoring data of engineering surveying and mapping, ensures the real-time updating of data and the recording of dynamic changes, and provides a basis for the subsequent feature comparison and time series difference identification; performs feature comparison on the standard engineering surveying and mapping data according to the incremental surveying and mapping information data to obtain the incremental information comparison feature; performs time series difference identification on the incremental information comparison feature to accurately capture the data features that change over time; extracts the difference points of the real-time monitoring data of engineering surveying and mapping through the incremental time series difference information to clarify the surveying and mapping difference point information; performs change point identification on the standard engineering surveying and mapping data based on the surveying and mapping difference point data Annotation can accurately obtain engineering surveying and mapping change data; update information of engineering surveying and mapping real-time monitoring data is extracted according to engineering surveying and mapping change data, ensuring the real-time and accuracy of the data; multi-source correlation feature recognition is performed on multi-dimensional engineering surveying and mapping related data to obtain surveying and mapping multi-source correlation feature data; at the same time, dynamic data synchronization is performed on real-time surveying and mapping update information to obtain surveying and mapping data synchronization information, which can enhance data consistency and availability; based on surveying and mapping multi-source correlation feature data and surveying and mapping data synchronization information, multi-source heterogeneous intelligent integration of standard engineering surveying and mapping data is performed to form complete multi-source heterogeneous integrated data.

[0012] Preferably, step S34 includes the following steps: Step S341: extracting multi-source spatial features from the surveying and mapping multi-source associated feature data to obtain surveying and mapping spatial feature information; performing spatial information matching on the standard engineering surveying and mapping data according to the surveying and mapping spatial feature information to generate surveying and mapping spatial information matching data; Step S342: performing spatial position calibration on the standard engineering surveying and mapping data based on the surveying and mapping spatial information matching data to obtain surveying and mapping spatial position calibration data; performing spatial alignment on the surveying and mapping spatial position calibration data to generate engineering surveying and mapping spatial alignment data; Step S343: performing difference feature recognition on the synchronization information of the surveying and mapping data to generate synchronization information difference feature data; performing difference time point determination on the synchronization information difference feature data to obtain synchronization difference time point data; performing difference structure extraction on the synchronization information of the surveying and mapping data through the synchronization difference time point data to generate synchronization difference structure information; Step S344: performing multi-source heterogeneous feature recognition on the surveying and mapping multi-source associated feature data according to the synchronous difference structure information to obtain multi-source heterogeneous feature data; performing heterogeneous incremental data adaptive registration on the standard engineering surveying and mapping data through the multi-source heterogeneous feature data to obtain heterogeneous incremental registration information; performing heterogeneous data structure consistency on the multi-source heterogeneous feature data based on the heterogeneous incremental registration information to generate heterogeneous data structured information; performing real-time engineering surveying and mapping data integration on the heterogeneous incremental registration information and the heterogeneous data structured information to obtain multi-source heterogeneous integrated data.

[0013] The present invention can accurately extract surveying and mapping spatial feature information from surveying and mapping multi-source associated feature data through multi-source spatial feature extraction, and perform spatial information matching of the surveying and mapping spatial feature information with standard engineering surveying and mapping data, thereby enhancing the consistency and accuracy of spatial data; based on the surveying and mapping spatial information matching data, spatial position calibration is performed on the standard engineering surveying and mapping data, and surveying and mapping spatial position calibration data can be generated; spatial alignment is performed on the surveying and mapping spatial position calibration data, and the spatial reference accuracy of the data is further improved; difference feature recognition is performed on the synchronization information of the surveying and mapping data, and the difference time point can be clarified, thereby obtaining the synchronized difference time point data; synchronization information The difference time point is determined for the information difference feature data, and the synchronous difference structure information can be clarified; the multi-source heterogeneous features of the surveying and mapping multi-source associated feature data are identified according to the synchronous difference structure information, and the multi-source heterogeneous feature data can be identified; the heterogeneous incremental data adaptive registration is performed on the standard engineering surveying and mapping data to clarify the heterogeneous incremental registration information; and based on this information, the heterogeneous data structure of the multi-source heterogeneous feature data is made consistent to generate heterogeneous data structured information; the heterogeneous incremental registration information and the heterogeneous data structured information are integrated into real-time engineering surveying and mapping data to obtain multi-source heterogeneous integrated data, which can provide unified, accurate and updated data for engineering surveying and mapping.

[0014] Preferably, step S4 comprises the following steps: Step S41: performing three-dimensional data mapping on multi-source heterogeneous integrated data through multi-dimensional engineering surveying and mapping associated data to obtain three-dimensional mapping associated data; Step S42: constructing a 3D model for engineering surveying and mapping according to the multi-source heterogeneous integrated data and the 3D mapping associated data to obtain a 3D pre-model for engineering surveying and mapping, and training the 3D pre-model for engineering surveying and mapping using the multi-source heterogeneous integrated data and the 3D mapping associated data to obtain a 3D training model for engineering surveying and mapping; Step S43: performing model cross-validation evaluation on the engineering surveying and mapping three-dimensional training model to obtain engineering surveying and mapping three-dimensional training model evaluation data; adjusting model parameters of the engineering surveying and mapping three-dimensional training model using the engineering surveying and mapping three-dimensional training model evaluation data to obtain the engineering surveying and mapping three-dimensional model; Step S44: dynamically adjusting the engineering surveying and mapping three-dimensional model in real time based on the real-time surveying and mapping update information to obtain the engineering surveying and mapping real-time three-dimensional model; Step S45: Perform three-dimensional visualization enhancement on the real-time three-dimensional model of engineering surveying and mapping to obtain a three-dimensional enhanced model of engineering surveying and mapping; display the engineering surveying and mapping report based on the three-dimensional enhanced model of engineering surveying and mapping to generate a visualization report of engineering surveying and mapping.

[0015] The present invention uses multi-dimensional engineering surveying and mapping associated data to perform three-dimensional data mapping on multi-source heterogeneous integrated data, and provides an accurate spatial correspondence for subsequent three-dimensional model construction, thereby enhancing the three-dimensional sense of data and the richness of spatial information; constructs a three-dimensional model for engineering surveying and mapping based on multi-source heterogeneous integrated data and three-dimensional mapping associated data to obtain a three-dimensional pre-model for engineering surveying and mapping; trains the pre-model to obtain a three-dimensional training model for engineering surveying and mapping, which can improve the accuracy of the model and the degree of fit to the actual terrain; performs model cross-validation evaluation on the three-dimensional training model for engineering surveying and mapping, and obtains evaluation data for the three-dimensional training model for engineering surveying and mapping; adjusts model parameters using the evaluation data, which can ensure the reliability and effectiveness of the model; performs real-time dynamic adjustment of the three-dimensional model for engineering surveying and mapping based on real-time surveying and mapping update information, which can reflect the latest geographic information, thereby improving the timeliness and practicality of the model; performs three-dimensional visualization enhancement on the real-time three-dimensional model for engineering surveying and mapping, and displays an engineering surveying and mapping report, making the report more intuitive and easy to understand.

[0016] Preferably, step S41 includes the following steps: Step S411: performing spatial information analysis on the multi-dimensional engineering surveying and mapping related data to obtain engineering surveying and mapping spatial information; performing spatial feature enhancement on the engineering surveying and mapping spatial information to obtain spatial feature enhanced data; determining geographic element coordinates on the spatial feature enhanced data to generate geographic element coordinate information; Step S412: performing nonlinear transformation on the multi-source heterogeneous integrated data based on the coordinate information of geographic elements to obtain multi-source integrated linear data; performing hierarchical division on the multi-source integrated linear data to generate multi-source hierarchical structure data; performing spatial data interpolation on the multi-source hierarchical structure data to obtain multi-source structured spatial interpolation data; Step S413: pairing the geographic element coordinate information with the multi-source structure spatial interpolation data to generate multi-source spatial coordinate data; performing geometric precision improvement on the multi-source spatial coordinate data to obtain geometric precision improvement data; performing geometric correction on the multi-source integrated linear data according to the geometric precision improvement data to obtain surveying and mapping geometric correction data; performing engineering surveying and mapping topological relationship determination on the surveying and mapping geometric correction data to obtain engineering surveying and mapping topological relationship data; Step S414: Perform three-dimensional mapping on the multi-source heterogeneous integrated data according to the multi-source spatial coordinate data, the surveying and mapping geometric correction data, and the engineering surveying and mapping topological relationship data to obtain three-dimensional mapping associated data.

[0017] The present invention performs spatial information analysis on multi-dimensional engineering surveying and mapping related data to clarify engineering surveying and mapping spatial information; performs spatial feature enhancement on the spatial information to further determine the coordinates of geographic elements, thereby ensuring the accuracy and availability of spatial information; performs nonlinear transformation on multi-source heterogeneous integrated data based on geographic element coordinate information to obtain multi-source integrated linear data; performs hierarchical structure division on the multi-source integrated linear data to clarify the hierarchical structure information; performs spatial data interpolation on the multi-source hierarchical structure data to obtain multi-source structure spatial interpolation data; performs spatial coordinate pairing on the geographic element coordinate information and the multi-source structure spatial interpolation data to generate multi-source spatial coordinate data; performs geometric accuracy improvement on the multi-source spatial coordinate data to improve the geometric accuracy of the multi-source spatial coordinate data; performs geometric correction on the multi-source integrated linear data according to the geometric accuracy improvement data to generate surveying and mapping geometric correction data; finally, performs engineering surveying and mapping topological relationship determination on the surveying and mapping geometric correction data to obtain engineering surveying and mapping topological relationship data, thereby ensuring the structure of the data; performs three-dimensional mapping on the multi-source heterogeneous integrated data according to the multi-source spatial coordinate data, the surveying and mapping geometric correction data and the engineering surveying and mapping topological relationship data to generate three-dimensional mapping related data.

[0018] Preferably, step S44 includes the following steps: Step S441: recording the update time of the real-time surveying and mapping update information to generate surveying and mapping update time information; identifying the update space of the real-time surveying and mapping update information to obtain surveying and mapping update space information; determining the update time corresponding space of the surveying and mapping update time information and the surveying and mapping update space information to generate update time-space corresponding data; performing time-space synchronization of the update information of the engineering surveying and mapping three-dimensional model based on the update time-space corresponding data to obtain update information time-space synchronization data; Step S442: updating the surface morphology of the engineering surveying and mapping three-dimensional model in real time according to the update information spatiotemporal synchronization data to obtain surface morphology update measures; mapping the building morphology of the engineering surveying and mapping three-dimensional model in real time in combination with the surface morphology update measures to obtain building morphology mapping measures; integrating the surface morphology update measures and the building morphology mapping measures to generate geometric structure dynamic adjustment data; Step S443: performing real-time matching of the relationship between the surface buildings on the engineering surveying and mapping three-dimensional model according to the updated information time-space synchronization data to obtain real-time matching data of the relationship between the surface and the buildings; performing real-time topological adjustment on the real-time matching data of the relationship between the surface and the buildings to obtain dynamic adjustment data of the relationship between the topology; Step S444: Based on the geometric structure dynamic adjustment data and the topological relationship dynamic adjustment data, the engineering surveying and mapping three-dimensional model is dynamically adjusted in real time to obtain the engineering surveying and mapping real-time three-dimensional model.

[0019] The present invention records the update time of real-time surveying and mapping update information and generates surveying and mapping update time information; then, identifies the update space of this information and obtains surveying and mapping update space information. By matching the surveying and mapping update time information with the surveying and mapping update space information, the update time and space corresponding data is generated; the engineering surveying and mapping three-dimensional model is synchronized in time and space, and the update information time and space synchronization data is generated, ensuring that the three-dimensional model can reflect the latest surveying and mapping data in real time; the surface morphology of the engineering surveying and mapping three-dimensional model is updated in real time according to the update information time and space synchronization data, and the surface morphology update measures can be obtained; the building morphology is mapped in real time in combination with the surface morphology update measures to obtain the building morphology mapping measures; the surface morphology update measures and the building morphology mapping measures are integrated to generate geometric structure dynamic adjustment data, so as to achieve accurate adjustment of the surface and building geometric structures in the three-dimensional model; the surface building relationship of the engineering surveying and mapping three-dimensional model is matched in real time according to the update information time and space synchronization data, ensuring that the relationship and topological structure between the surface and the building in the three-dimensional model can be updated in real time; the topological relationship is adjusted in real time for the real-time matching data of the ground-building relationship, and the topological relationship dynamic adjustment data is obtained, so as to ensure the consistency and accuracy of the data; the engineering surveying and mapping three-dimensional model is adjusted in real time and dynamically based on the geometric structure dynamic adjustment data and the topological relationship dynamic adjustment data, which can accurately reflect the surface morphology and building status that change over time.

[0020] Preferably, step S45 includes the following steps: Step S451: performing color high-contrast rendering on the real-time three-dimensional model of engineering surveying and mapping to generate model high-contrast rendering data; performing rendering level refinement on the model high-contrast rendering data to obtain model rendering level data; Step S452: performing hierarchical stereoscopic shadow rendering on the real-time three-dimensional model of engineering surveying and mapping according to the model rendering hierarchical data to obtain model stereoscopic shadow rendering data; performing model perspective correction on the model stereoscopic shadow rendering data to generate model perspective correction data; Step S453: performing model texture mapping on the real-time three-dimensional model for engineering surveying and mapping based on the model perspective correction data to obtain model texture mapping data; performing three-dimensional visualization view enhancement on the real-time three-dimensional model for engineering surveying and mapping based on the model texture mapping data to obtain a three-dimensional enhanced model for engineering surveying and mapping; Step S454: output engineering surveying and mapping information based on the engineering surveying and mapping three-dimensional enhanced model to obtain engineering surveying and mapping output data; process the engineering surveying and mapping output data into information charts to obtain engineering surveying and mapping visualization charts; compile reports on the engineering surveying and mapping visualization charts to generate engineering surveying and mapping visualization reports.

[0021] The present invention performs color high-contrast rendering on the real-time three-dimensional model of engineering surveying and mapping, thereby enhancing the visual distinction of the model; performs rendering level refinement on the high-contrast rendering data of the model, thereby further improving the visual effect and detail expression of the model; performs hierarchical stereoscopic shadow rendering on the real-time three-dimensional model of engineering surveying and mapping according to the model rendering level data, thereby increasing the three-dimensional sense of the model; performs model perspective correction on the model stereoscopic shadow rendering data, thereby ensuring the accuracy and authenticity of the model under different viewing angles; performs model texture mapping on the real-time three-dimensional model of engineering surveying and mapping based on the model perspective correction data, thereby making the surface details of the model richer and more realistic; performs three-dimensional visualization view enhancement on the real-time three-dimensional model of engineering surveying and mapping according to the model texture mapping data, thereby obtaining a three-dimensional enhanced model of engineering surveying and mapping, thereby improving the visualization quality of the model; performs engineering surveying and mapping information output based on the three-dimensional enhanced model of engineering surveying and mapping, thereby obtaining engineering surveying and mapping output data; performs information chart processing on the output data of engineering surveying and mapping, thereby obtaining a visualization chart of engineering surveying and mapping, thereby making the information more intuitive; finally, reports are compiled on the visualization chart of engineering surveying and mapping, thereby generating a visualization report of engineering surveying and mapping.

[0022] In this specification, a three-dimensional model data management system for engineering surveying and mapping is provided, which is used to execute the above-mentioned three-dimensional model data management method for engineering surveying and mapping. The three-dimensional model data management system for engineering surveying and mapping includes: The engineering surveying and mapping data acquisition module is used to obtain engineering surveying and mapping data; pre-process the engineering surveying and mapping data to obtain standard engineering surveying and mapping data; perform multi-dimensional feature recognition on the standard engineering surveying and mapping data to obtain multi-dimensional surveying and mapping feature data; extract key engineering surveying and mapping information from the multi-dimensional surveying and mapping feature data to obtain key engineering surveying and mapping information; The real-time monitoring module for surveying and mapping data is used to correlate and analyze multi-dimensional surveying and mapping feature data and key engineering surveying and mapping information to generate multi-dimensional engineering surveying and mapping correlation data; to monitor engineering surveying and mapping data in real time to obtain real-time monitoring data for engineering surveying and mapping; The multi-source heterogeneous intelligent integration module is used to extract update information from real-time monitoring data of engineering surveying and mapping, and generate real-time surveying and mapping update information; it performs multi-source heterogeneous intelligent integration of standard engineering surveying and mapping data based on multi-dimensional engineering surveying and mapping related data and real-time surveying and mapping update information to obtain multi-source heterogeneous integrated data; The three-dimensional model dynamic adjustment module is used to perform three-dimensional data mapping on multi-source heterogeneous integrated data through multi-dimensional engineering surveying and mapping associated data to obtain three-dimensional mapping associated data; use multi-source heterogeneous integrated data and three-dimensional mapping associated data to construct an engineering surveying and mapping three-dimensional model to obtain an engineering surveying and mapping three-dimensional model; perform real-time dynamic adjustment on the engineering surveying and mapping three-dimensional model based on real-time surveying and mapping update information to obtain a real-time three-dimensional model for engineering surveying and mapping; perform three-dimensional visualization enhancement on the real-time three-dimensional model for engineering surveying and mapping to obtain a three-dimensional enhanced model for engineering surveying and mapping; display an engineering surveying and mapping report based on the three-dimensional enhanced model for engineering surveying and mapping, and generate an engineering surveying and mapping visualization report.

[0023] The present invention acquires engineering surveying and mapping data through an engineering surveying and mapping data acquisition module, providing a basic data source for subsequent data processing and analysis; pre-processes engineering surveying and mapping data and converts them into standard engineering surveying and mapping data, ensuring data consistency and comparability; the multi-dimensional feature recognition process can extract key geometric and non-geometric features from standard engineering surveying and mapping data; the extraction of key engineering surveying and mapping information further refines the multi-dimensional surveying and mapping feature data, making it more focused on information that has an important impact on engineering decision-making, and improving the availability and pertinence of information. Through the surveying and mapping data real-time monitoring module, the multi-dimensional surveying and mapping feature data is correlated and analyzed with key engineering surveying and mapping information, which can clarify the inherent connection between different surveying and mapping features; real-time monitoring of engineering surveying and mapping data and acquisition of engineering surveying and mapping real-time monitoring data can ensure the timeliness of engineering surveying and mapping information and provide the latest data support for engineering management; the extraction of updated information provides a dynamic update mechanism for standard engineering surveying and mapping data, ensuring the continuous accuracy and relevance of data. Through the multi-source heterogeneous intelligent integration module, the multi-dimensional engineering surveying and mapping related data and real-time surveying and mapping update information are combined, and through multi-source heterogeneous intelligent integration, data from different sources and formats can be integrated, which improves the comprehensiveness and availability of data; multi-source heterogeneous intelligent integration of standard engineering surveying and mapping data is carried out according to multi-dimensional engineering surveying and mapping related data and real-time surveying and mapping update information, so that engineering surveying and mapping data can reflect the latest engineering status. Through the three-dimensional model dynamic adjustment module, through three-dimensional data mapping, multi-source heterogeneous integrated data is converted into three-dimensional mapping related data, providing accurate spatial information for subsequent three-dimensional model construction; using multi-source heterogeneous integrated data and three-dimensional mapping related data to construct engineering surveying and mapping three-dimensional models, it can intuitively display the three-dimensional spatial structure of the project and improve the visualization of information; based on real-time surveying and mapping update information, the engineering surveying and mapping three-dimensional model is adjusted in real time and dynamically, which can reflect the latest status of the project; the three-dimensional visualization enhancement process further improves the visual effect and information expression ability of the engineering surveying and mapping three-dimensional model, making the engineering surveying and mapping three-dimensional enhanced model more intuitive and easy to understand; the engineering surveying and mapping report display based on the engineering surveying and mapping three-dimensional enhanced model can display information clearly, accurately and intuitively. Therefore, the present invention realizes the integrated management of multi-source heterogeneous data and the dynamic update management of data through data processing technology, geographic information system technology and three-dimensional mapping technology, thereby improving the accuracy of the presentation of engineering surveying and mapping three-dimensional models. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A schematic diagram of the steps of a three-dimensional model data management method for engineering surveying and mapping; Figure 2 for Figure 1 Detailed implementation steps of step S3 in FIG. Figure 3 for Figure 2Detailed implementation steps of step S34 are shown in the flowchart; The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0025] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0026] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0027] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0028] To achieve this, please refer to Figures 1 to 3 , a three-dimensional model data management method for engineering surveying and mapping, the method comprising the following steps: Step S1: Acquire engineering surveying and mapping data; pre-process the engineering surveying and mapping data to obtain standard engineering surveying and mapping data; perform multi-dimensional feature recognition on the standard engineering surveying and mapping data to obtain multi-dimensional surveying and mapping feature data; extract key engineering surveying and mapping information from the multi-dimensional surveying and mapping feature data to obtain key engineering surveying and mapping information; Step S2: performing correlation analysis on the multi-dimensional surveying and mapping feature data and the key engineering surveying and mapping information to generate multi-dimensional engineering surveying and mapping correlation data; performing real-time monitoring on the engineering surveying and mapping data to obtain engineering surveying and mapping real-time monitoring data; Step S3: extracting update information from the engineering surveying and mapping real-time monitoring data to generate real-time surveying and mapping update information; performing multi-source heterogeneous intelligent integration of standard engineering surveying and mapping data according to the multi-dimensional engineering surveying and mapping associated data and the real-time surveying and mapping update information to obtain multi-source heterogeneous integrated data; Step S4: Perform three-dimensional data mapping on multi-source heterogeneous integrated data through multi-dimensional engineering surveying and mapping associated data to obtain three-dimensional mapping associated data; construct an engineering surveying and mapping three-dimensional model using multi-source heterogeneous integrated data and three-dimensional mapping associated data to obtain an engineering surveying and mapping three-dimensional model; perform real-time dynamic adjustment on the engineering surveying and mapping three-dimensional model based on real-time surveying and mapping update information to obtain a real-time three-dimensional model for engineering surveying and mapping; perform three-dimensional visualization enhancement on the real-time three-dimensional model for engineering surveying and mapping to obtain a three-dimensional enhanced model for engineering surveying and mapping; display an engineering surveying and mapping report based on the three-dimensional enhanced model for engineering surveying and mapping to generate an engineering surveying and mapping visualization report.

[0029] The present invention provides a basic data source for subsequent data processing and analysis by acquiring engineering surveying and mapping data; pre-processes engineering surveying and mapping data and converts them into standard engineering surveying and mapping data to ensure data consistency and comparability; the multi-dimensional feature recognition process can extract key geometric and non-geometric features from standard engineering surveying and mapping data; the extraction of key engineering surveying and mapping information further refines the multi-dimensional surveying and mapping feature data, making it more focused on information that has an important impact on engineering decision-making, and improving the availability and pertinence of information. Correlation analysis of multi-dimensional surveying and mapping feature data with key engineering surveying and mapping information can clarify the inherent connection between different surveying and mapping features; real-time monitoring of engineering surveying and mapping data and acquisition of real-time monitoring data of engineering surveying and mapping can ensure the timeliness of engineering surveying and mapping information and provide the latest data support for engineering management; the extraction of updated information provides a dynamic update mechanism for standard engineering surveying and mapping data, ensuring the continuous accuracy and relevance of data. The combination of multi-dimensional engineering surveying and mapping related data and real-time surveying and mapping update information, and through multi-source heterogeneous intelligent integration, can integrate data from different sources and formats, improving the comprehensiveness and availability of data; multi-source heterogeneous intelligent integration of standard engineering surveying and mapping data based on multi-dimensional engineering surveying and mapping related data and real-time surveying and mapping update information enables engineering surveying and mapping data to reflect the latest engineering status. Through three-dimensional data mapping, multi-source heterogeneous integrated data is converted into three-dimensional mapping related data, providing accurate spatial information for subsequent three-dimensional model construction; using multi-source heterogeneous integrated data and three-dimensional mapping related data to construct engineering surveying and mapping three-dimensional models can intuitively display the three-dimensional spatial structure of the project and improve the visualization of information; based on real-time surveying and mapping update information, the engineering surveying and mapping three-dimensional model is adjusted in real time and dynamically to reflect the latest status of the project; the three-dimensional visualization enhancement process further enhances the visual effect and information expression ability of the engineering surveying and mapping three-dimensional model, making the engineering surveying and mapping three-dimensional enhanced model more intuitive and easy to understand; the engineering surveying and mapping report display based on the engineering surveying and mapping three-dimensional enhanced model can display information clearly, accurately and intuitively. Therefore, the present invention realizes the integrated management of multi-source heterogeneous data and the dynamic update management of data through data processing technology, geographic information system technology and three-dimensional mapping technology, thereby improving the accuracy of the presentation of engineering surveying and mapping three-dimensional models.

[0030] In the embodiment of the present invention, reference Figure 1 The above is a schematic diagram of the steps of the three-dimensional model data management method for engineering surveying and mapping of the present invention. In this example, the three-dimensional model data management method for engineering surveying and mapping includes the following steps: Step S1: Acquire engineering surveying and mapping data; pre-process the engineering surveying and mapping data to obtain standard engineering surveying and mapping data; perform multi-dimensional feature recognition on the standard engineering surveying and mapping data to obtain multi-dimensional surveying and mapping feature data; extract key engineering surveying and mapping information from the multi-dimensional surveying and mapping feature data to obtain key engineering surveying and mapping information; In an embodiment of the present invention, engineering surveying and mapping data is obtained by aerial photogrammetry, remote sensing image interpretation, and building measurement. For example, aerial photogrammetry is performed using a high-definition camera carried by an unmanned aerial vehicle to obtain high-resolution image data of the ground. At the same time, building measurement technology is used to obtain detailed information of the building. The obtained raw data needs to be preprocessed to eliminate errors and noise. Specifically, radiation correction and geometric correction are performed on the image data obtained by aerial photogrammetry. Differential processing is performed on the building measurement data to obtain standard engineering surveying and mapping data. Three-dimensional laser scanning technology (such as LiDAR) is used to extract point cloud data from standard engineering surveying and mapping data. Specifically, the point cloud data is locally filtered and differentiated to obtain the global spatial distribution of engineering surveying and mapping. At the same time, feature extraction is performed on the remote sensing image to identify key information such as terrain and landforms to obtain multi-dimensional surveying and mapping feature data. Further, through surface interpolation and elevation enhancement technology, relief contour surfaces are identified from point cloud data, and relief information elements are classified and identified to obtain key engineering surveying and mapping information.

[0031] Step S2: performing correlation analysis on the multi-dimensional surveying and mapping feature data and the key engineering surveying and mapping information to generate multi-dimensional engineering surveying and mapping correlation data; performing real-time monitoring on the engineering surveying and mapping data to obtain engineering surveying and mapping real-time monitoring data; In an embodiment of the present invention, multi-dimensional surveying and mapping feature data and key engineering surveying and mapping information are integrated and processed through multi-source data fusion technology; specifically, a multimodal geographic big data spatiotemporal analysis method is used, combined with lidar data, remote sensing images and ground measurement data, and the correlation between engineering surveying and mapping data is identified through spatiotemporal clustering analysis and spatiotemporal association mining methods; further, intelligent surveying and mapping technology is used to perform pattern recognition and classification on multi-dimensional surveying and mapping feature data; specifically, key information such as terrain and landforms is identified and associated, thereby generating multi-dimensional engineering surveying and mapping associated data; a data monitoring system is used, specifically, the engineering surveying and mapping data is monitored in real time through the data monitoring system, and a time curve chart is drawn, thereby obtaining real-time monitoring data for engineering surveying and mapping.

[0032] Step S3: extracting update information from the engineering surveying and mapping real-time monitoring data to generate real-time surveying and mapping update information; performing multi-source heterogeneous intelligent integration of standard engineering surveying and mapping data according to the multi-dimensional engineering surveying and mapping associated data and the real-time surveying and mapping update information to obtain multi-source heterogeneous integrated data; In the embodiment of the present invention, high-precision monitoring equipment, such as a total station, a high-definition camera carried by an unmanned aerial vehicle, and a GPS positioning system are used to collect geographic information data of the engineering site; spatiotemporal data mining algorithms, such as multi-source heterogeneous data intelligent fusion technology, are used to quickly analyze and process real-time monitoring data; specifically, steps such as data acquisition, cleaning, and feature engineering are involved; and change detection is performed by comparing remote sensing image data and basic geographic data of different phases; on the basis of multi-dimensional engineering surveying and mapping related data, data-level fusion methods and feature-level fusion methods are used in combination with real-time surveying and mapping update information; data is intelligently integrated, specifically involving data regularization reconstruction, using the MySQL database software platform to build the underlying architecture of the target data, and improving data retrieval speed by building data indexes; in addition, machine learning modeling evaluation is used, such as the Random Forest (RF) algorithm, supplemented by a genetic algorithm for iterative screening of factor weights and data feature space, thereby realizing machine learning data fusion and generating multi-source heterogeneous integrated data.

[0033] Step S4: Perform three-dimensional data mapping on multi-source heterogeneous integrated data through multi-dimensional engineering surveying and mapping associated data to obtain three-dimensional mapping associated data; construct an engineering surveying and mapping three-dimensional model using multi-source heterogeneous integrated data and three-dimensional mapping associated data to obtain an engineering surveying and mapping three-dimensional model; perform real-time dynamic adjustment on the engineering surveying and mapping three-dimensional model based on real-time surveying and mapping update information to obtain a real-time three-dimensional model for engineering surveying and mapping; perform three-dimensional visualization enhancement on the real-time three-dimensional model for engineering surveying and mapping to obtain a three-dimensional enhanced model for engineering surveying and mapping; display an engineering surveying and mapping report based on the three-dimensional enhanced model for engineering surveying and mapping to generate an engineering surveying and mapping visualization report.

[0034] In the embodiment of the present invention, geographic information system (GIS) technology is used to combine multi-dimensional surveying and mapping feature data and multi-source heterogeneous integrated data to achieve three-dimensional mapping of data; for example, engineering surveying and mapping data are displayed in the form of 3D simulation through 3D-GIS technology; at the same time, spatial registration technology is used to extract key feature points from each data set through feature point extraction and matching technology in the same coordinate system; and the corresponding relationship between the data is determined, and geometric transformation is performed to obtain three-dimensional mapping related data; through multi-source multi-scale real-scene three-dimensional fusion technology, multi-source heterogeneous integrated data and three-dimensional mapping related data are combined to construct an engineering surveying and mapping three-dimensional model; specifically, information such as spatial coordinate conversion, multi-source data format, and model monomer attribute encoding is determined; different sources are combined to form a three-dimensional fusion technology. The three-dimensional model of engineering surveying and mapping is finally obtained by integrating the terrain scene features, structured features and vector features of different sources, different types and scales; the three-dimensional model is adjusted dynamically in real time using the real-time surveying and mapping update information; specifically, it involves the real-time import of data, the dynamic update algorithm of the model, and the real-time data exchange with the Internet of Things devices; through the three-dimensional visualization technology, such as high-performance three-dimensional engine for image rendering, the texture of the real-life three-dimensional data set of multi-scale and different sources is processed in a unified color, specifically including the application of texture mapping, illumination model, and the optimization of visual effects, so as to obtain the three-dimensional enhanced model of engineering surveying and mapping; the three-dimensional enhanced model of engineering surveying and mapping and related data are displayed in the engineering surveying and mapping report, and the engineering surveying and mapping visualization report is generated.

[0035] Preferably, step S1 comprises the following steps: Step S11: using sensors and drone cameras to obtain engineering surveying and mapping data; Step S12: preprocessing the engineering surveying and mapping data to generate standard engineering surveying and mapping data, wherein the data preprocessing includes data decryption, data cleaning, data denoising and data standardization; Step S13: performing surface morphological feature recognition on the standard engineering surveying and mapping data to generate surface morphological feature data; performing building morphological feature extraction on the standard engineering surveying and mapping data according to the surface morphological feature data to obtain building morphological feature data; determining the relationship between surface buildings on the surface morphological feature data based on the building morphological feature data to generate surface building relationship data; integrating the surface morphological feature data, the building morphological feature data and the surface building relationship data to obtain multi-dimensional surveying and mapping feature data; Step S14: Perform micro- and macro-segmentation of the surface morphological characteristics of the multi-dimensional surveying and mapping feature data to obtain surface morphological micro- and macro-information; perform morphological structuring processing on the building morphological feature data through the surface morphological micro- and macro-information to generate building morphological structured information; perform surface-building relationship feature mapping on the surface morphological micro- and macro-information according to the building morphological structured information to obtain surface building mapping characteristics; integrate the surface morphological micro- and macro-information, the building morphological structured information and the surface building mapping information to obtain key engineering surveying and mapping information.

[0036] In an embodiment of the present invention, aerial photography is performed using an unmanned aerial vehicle equipped with a high-resolution camera to quickly acquire surface image data of a large area; remote sensing image processing software, such as ENVI software, is used to perform radiation correction and geometric correction on the image data collected by the unmanned aerial vehicle to eliminate sensor errors and atmospheric influences; in the data cleaning step, outliers are excluded and missing values ​​are filled; in the data denoising step, filtering technology, such as Gaussian filtering technology, is used to reduce noise in the image; the data is standardized by the Z-score standardization method to obtain standard engineering surveying and mapping data; deep learning technology is used to identify surface morphological features of standard engineering surveying and mapping data to generate surface morphological feature data; the morphological features of buildings are extracted from the surface morphological feature data by an object-oriented image analysis method combined with a machine learning algorithm; specifically, a classifier based on multidimensional features such as shape, size and texture is used to identify and extract the outline and structural information of the building; based on the building morphological feature data, the surface morphological feature data is further analyzed The spatial relationship between surface morphological feature data; specifically use spatial analysis tools, such as buffer analysis and overlay analysis in GIS software, to determine the relationship between buildings and surrounding surface features, and generate surface building relationship data; through data fusion technology, such as multi-source data fusion technology, integrate data from different sources and types into a multidimensional surveying and mapping feature data set; apply geographic information system technology to classify multidimensional surveying and mapping feature data, specifically distinguish the micro and macro features of surface morphology, and obtain surface morphological micro and macro information; use image processing and pattern recognition technology to structure the building morphological feature data, and specifically extract the structured information of the building, such as the height, volume and layout of the building; combine the morphological structured information of the building and the micro and macro information of the surface morphology, and use spatial data mapping technology, such as spatial autocorrelation analysis, to map the relationship characteristics between surface buildings; use data integration technology to fuse the surface morphological micro and macro information, building morphological structured information and surface building mapping information to form key engineering surveying and mapping information.

[0037] Preferably, step S2 comprises the following steps: Step S21: performing spatial structure matching on the building morphology structured information according to the surface morphology feature data to generate surface building spatial matching data; performing surface contour morphology recognition on the surface morphology micro-macro information through the surface building spatial matching data to obtain surface contour morphology data; Step S22: Calculate the terrain undulation of the surface contour morphology data to obtain terrain undulation data; determine the mapping degree of the surface building mapping information based on the terrain undulation data to generate surface building mapping degree data; identify the building contour features of the building morphology feature data according to the surface building mapping degree data to obtain building contour feature data; Step S23: Calculate the building outline vector of the building outline feature data to obtain the building outline vector data; determine the regional building distribution density of the surface building relationship data through the building outline vector data and the surface building mapping degree data to obtain the regional building distribution density; Step S24: performing metric scale association on the surface morphological feature data and the surface morphological micro-macro information to obtain metric scale association data; performing geometric attribute association on the surface contour morphological data and the building contour vector data to obtain geometric attribute association data; performing spatial distribution association on the terrain relief data and the regional building distribution density to obtain spatial distribution association data; integrating the metric scale association data, the geometric attribute association data and the spatial distribution association data to generate multi-dimensional engineering surveying and mapping association data; Step S25: Use the drone camera to perform real-time continuous imaging processing on the engineering surveying and mapping data to obtain real-time continuous imaging data for surveying and mapping; perform image digital conversion on the real-time continuous imaging data for surveying and mapping to obtain real-time continuous digital information for surveying and mapping; perform real-time monitoring on the real-time continuous digital information for surveying and mapping to obtain real-time monitoring data for engineering surveying and mapping.

[0038] In the embodiment of the present invention, by using geographic information system (GIS) technology, combined with surface morphological feature data and building morphological structured information, spatial structure matching is performed; for example, using the geographic registration tool in ArcGIS software, matching is performed by selecting points of obvious positions; using remote sensing image processing technology, combined with surface building spatial matching data, the surface morphological micro-macro information is analyzed; specifically, by calculating the slope, aspect, slope variation rate, plane curvature and other terrain factors of engineering surveying and mapping data, the landform morphology is automatically identified; using geographic information system (GIS) technology, the surface contour morphological data is measured for terrain undulation; for example, a building density grid layer is set, and statistics are performed according to a 21×21 rectangular window size, so as to perform slope analysis and aspect analysis; the terrain undulation is reclassified, and the average building density of different areas is calculated by zoning statistics to obtain terrain undulation data; the height of the building is measured by using the terrain undulation data and combining it with the surface building mapping information; the height of the building is measured by measuring the length of the building shadow using spatial geometry technology; and the object-oriented analysis is used by GIS software. This method calculates the building index and shadow index, extracts the shadow and performs height measurement to obtain the building outline feature data; uses vector measurement technology to calculate the building outline vector of the building outline feature data to obtain the building outline vector data; combines the building outline vector data and the surface building mapping degree data to calculate the building proportion of each pixel, so as to obtain the regional building distribution density; combines the surface contour morphology data and the building outline vector data to perform geometric attribute association, specifically performs geometric correction and registration on the data to obtain geometric attribute association data; combines the terrain undulation data and the regional building distribution density to perform spatial distribution association, specifically performs spatial analysis to determine the relationship between the terrain undulation and the building distribution; integrates the metric scale association data, the geometric attribute association data and the spatial distribution association data to generate multi-dimensional engineering surveying and mapping association data; uses a drone equipped with a high-definition camera to take aerial photos to obtain large-area surface image data in real time; performs image digital conversion on the real-time continuous imaging data of surveying and mapping to obtain real-time continuous digital information of surveying and mapping; performs real-time monitoring on the real-time continuous digital information of surveying and mapping to obtain real-time monitoring data of engineering surveying and mapping.

[0039] As an example of the present invention, refer to Figure 2 As shown, in this example, step S3 includes: Step S31: performing incremental capture of surveying and mapping information on the real-time monitoring data of engineering surveying and mapping to generate incremental surveying and mapping information data; performing feature comparison on the standard engineering surveying and mapping data according to the incremental surveying and mapping information data to obtain incremental information comparison features; performing time series difference recognition on the incremental information comparison features to generate incremental time series difference information; Step S32: extracting difference points from the engineering surveying and mapping real-time monitoring data through the incremental time series difference information to generate surveying and mapping difference point data; marking change points of the standard engineering surveying and mapping data based on the surveying and mapping difference point data to obtain engineering surveying and mapping change data; extracting update information from the engineering surveying and mapping real-time monitoring data based on the engineering surveying and mapping change data to generate real-time surveying and mapping update information; Step S33: performing multi-source correlation feature recognition on the multi-dimensional engineering surveying and mapping related data to obtain surveying and mapping multi-source correlation feature data; performing dynamic data synchronization on the real-time surveying and mapping update information to obtain surveying and mapping data synchronization information; Step S34: Based on the surveying and mapping multi-source associated feature data and the surveying and mapping data synchronization information, multi-source heterogeneous intelligent integration is performed on the standard engineering surveying and mapping data to obtain multi-source heterogeneous integrated data.

[0040] In the embodiment of the present invention, the high-definition camera and sensor carried by the unmanned aerial vehicle are used to perform real-time continuous imaging processing on the engineering site; the image processing technology is specifically used to convert the real-time imaging data into digital information to obtain the incremental data of surveying and mapping information; the geographic information system (GIS) technology is used to combine the incremental data of surveying and mapping information with the standard engineering surveying and mapping data for feature comparison; the geographic registration tool in the ArcGIS software is used to register and compare the multi-temporal remote sensing image data, and the changes in surface features are identified; the time series analysis technology is used to identify the time series differences of the incremental information comparison features; for example, by calculating the changes in surface features at different time points, the time series feature engineering technology, such as rolling statistics and lag features, is used to identify the differences in time series; the difference points of the engineering surveying and mapping real-time monitoring data are extracted through the incremental time series difference information to generate surveying and mapping difference point data; the digital Surveying and mapping technology combines surveying and mapping difference point data with standard engineering surveying and mapping data to mark change points; for example, the displacement and deformation of buildings are accurately measured through the control point data collected by the total station, and these changes are marked on the standard engineering surveying and mapping data to obtain engineering surveying and mapping change data; combining engineering surveying and mapping change data with real-time monitoring data, using multi-source data fusion technology to extract update information; for example, by integrating data from different sensors, such as GPS, LiDAR, and remote sensing images, to extract engineering surveying and mapping update information; combining real-time surveying and mapping update information with multi-source associated feature data, specifically using data synchronization technology, such as database triggers, to obtain surveying and mapping data synchronization information by updating the surveying and mapping data in the database in real time; using multi-source heterogeneous intelligent integration technology, combining surveying and mapping multi-source associated feature data with surveying and mapping data synchronization information, to perform multi-source heterogeneous intelligent integration of standard engineering surveying and mapping data.

[0041] As an example of the present invention, refer to Figure 3 As shown, in this example, step S34 includes: Step S341: extracting multi-source spatial features from the surveying and mapping multi-source associated feature data to obtain surveying and mapping spatial feature information; performing spatial information matching on the standard engineering surveying and mapping data according to the surveying and mapping spatial feature information to generate surveying and mapping spatial information matching data; Step S342: performing spatial position calibration on the standard engineering surveying and mapping data based on the surveying and mapping spatial information matching data to obtain surveying and mapping spatial position calibration data; performing spatial alignment on the surveying and mapping spatial position calibration data to generate engineering surveying and mapping spatial alignment data; Step S343: performing difference feature recognition on the synchronization information of the surveying and mapping data to generate synchronization information difference feature data; performing difference time point determination on the synchronization information difference feature data to obtain synchronization difference time point data; performing difference structure extraction on the synchronization information of the surveying and mapping data through the synchronization difference time point data to generate synchronization difference structure information; Step S344: performing multi-source heterogeneous feature recognition on the surveying and mapping multi-source associated feature data according to the synchronous difference structure information to obtain multi-source heterogeneous feature data; performing heterogeneous incremental data adaptive registration on the standard engineering surveying and mapping data through the multi-source heterogeneous feature data to obtain heterogeneous incremental registration information; performing heterogeneous data structure consistency on the multi-source heterogeneous feature data based on the heterogeneous incremental registration information to generate heterogeneous data structured information; performing real-time engineering surveying and mapping data integration on the heterogeneous incremental registration information and the heterogeneous data structured information to obtain multi-source heterogeneous integrated data.

[0042] In an embodiment of the present invention, geographic information system (GIS) technology is used, specifically in combination with multi-source associated feature data, and control points are added and multi-source associated feature correction is performed based on latitude and longitude grid coordinates to achieve spatial registration of raster data and obtain surveying and mapping spatial feature information; spatial information matching technology is used to match the surveying and mapping spatial feature information with standard engineering surveying and mapping data; for example, by spatially matching images in ArcGIS with SHP data and manually vectorizing the data, surveying and mapping spatial information matching data is generated; spatial position calibration technology is used to perform spatial calibration on standard engineering surveying and mapping data; for example, adaptive point cloud registration technology is used to perform coarse and fine registration on point cloud data of standard engineering surveying and mapping data, and the pose between the two point clouds is calculated to obtain surveying and mapping spatial position calibration data; data synchronization technology is used to identify difference features of surveying and mapping data synchronization information, specifically by capturing difference data in data synchronization; and time series analysis technology is used to calibrate synchronization information The difference feature data is used to determine the difference time point; for example, time series data feature engineering technology, such as rolling statistics and lag features, is used to identify the difference in time series; the difference structure of the surveying and mapping data synchronization information is extracted through the synchronization difference time point data to generate the synchronization difference structure information; the multi-source heterogeneous data fusion technology is used to identify the multi-source heterogeneous features of the surveying and mapping multi-source associated feature data; the multi-source heterogeneous feature data and standard engineering surveying and mapping data are combined, and the adaptive registration technology, such as the ICP algorithm, is used to perform adaptive registration of heterogeneous incremental data; specifically, the data is downsampled, filtered, and then the point cloud feature information is calculated, and the extracted features are used for coarse registration, and finally fine registration is performed; the multi-source heterogeneous feature data is processed for structural consistency using the heterogeneous incremental registration information, including the geometric correction and registration of the data; the multi-source heterogeneous integrated data is generated by combining the heterogeneous incremental registration information and the heterogeneous data structured information through the real-time engineering surveying and mapping data integration technology.

[0043] Preferably, step S4 comprises the following steps: Step S41: performing three-dimensional data mapping on multi-source heterogeneous integrated data through multi-dimensional engineering surveying and mapping associated data to obtain three-dimensional mapping associated data; Step S42: constructing a 3D model for engineering surveying and mapping according to the multi-source heterogeneous integrated data and the 3D mapping associated data to obtain a 3D pre-model for engineering surveying and mapping, and training the 3D pre-model for engineering surveying and mapping using the multi-source heterogeneous integrated data and the 3D mapping associated data to obtain a 3D training model for engineering surveying and mapping; Step S43: performing model cross-validation evaluation on the engineering surveying and mapping three-dimensional training model to obtain engineering surveying and mapping three-dimensional training model evaluation data; adjusting model parameters of the engineering surveying and mapping three-dimensional training model using the engineering surveying and mapping three-dimensional training model evaluation data to obtain the engineering surveying and mapping three-dimensional model; Step S44: dynamically adjusting the engineering surveying and mapping three-dimensional model in real time based on the real-time surveying and mapping update information to obtain the engineering surveying and mapping real-time three-dimensional model; Step S45: Perform three-dimensional visualization enhancement on the real-time three-dimensional model of engineering surveying and mapping to obtain a three-dimensional enhanced model of engineering surveying and mapping; display the engineering surveying and mapping report based on the three-dimensional enhanced model of engineering surveying and mapping to generate a visualization report of engineering surveying and mapping.

[0044] In an embodiment of the present invention, three-dimensional mapping technology is used, combined with multi-dimensional engineering surveying and mapping associated data and multi-source heterogeneous integrated data, and three-dimensional data mapping is performed through GIS software such as ArcGIS; specifically, two-dimensional GIS data is converted into three-dimensional spatial data; for example, the building data obtained through laser scanning or photogrammetry is used to construct a three-dimensional model of the building, and spatial positioning and mapping are performed; three-dimensional modeling technologies, such as polygonal modeling, surface modeling, and solid modeling, are used to combine multi-source heterogeneous integrated data and three-dimensional mapping associated data to construct a three-dimensional pre-model for engineering surveying and mapping; professional three-dimensional modeling software, such as AutoCAD, is used; the three-dimensional pre-model is trained and optimized through machine learning and deep learning technologies, such as convolutional neural networks (CNN); for example, the method in the technical specification of real-scene three-dimensional modeling of oblique photogrammetry is used to perform geometric and topological analysis, as well as static and dynamic analysis on the model to evaluate the quality and reliability of the model; and model cross-validation technology, such as k-fold cross-validation, is used to evaluate the trained model. This step involves dividing the dataset into a training set and a validation set, and evaluating the generalization ability of the model by comparing the performance of the model on different datasets; adjusting model parameters, such as learning rate, regularization coefficient, etc., based on the evaluation data to optimize model performance; using automated hyperparameter optimization techniques, such as grid search or Bayesian optimization, to find the best model configuration; using real-time mapping update information, such as real-time continuous imaging data obtained by drone cameras, to dynamically adjust the 3D model; using 3D visualization technology to visualize and enhance the real-time 3D model, specifically using professional 3D visualization software, such as Unity tools, to render the model; using the engineering surveying and mapping 3D enhanced model, combined with GIS software and 3D visualization technology, to generate an engineering surveying and mapping visualization report.

[0045] Preferably, step S41 includes the following steps: Step S411: performing spatial information analysis on the multi-dimensional engineering surveying and mapping related data to obtain engineering surveying and mapping spatial information; performing spatial feature enhancement on the engineering surveying and mapping spatial information to obtain spatial feature enhanced data; determining geographic element coordinates on the spatial feature enhanced data to generate geographic element coordinate information; Step S412: performing nonlinear transformation on the multi-source heterogeneous integrated data based on the coordinate information of geographic elements to obtain multi-source integrated linear data; performing hierarchical division on the multi-source integrated linear data to generate multi-source hierarchical structure data; performing spatial data interpolation on the multi-source hierarchical structure data to obtain multi-source structured spatial interpolation data; Step S413: pairing the geographic element coordinate information with the multi-source structure spatial interpolation data to generate multi-source spatial coordinate data; performing geometric precision improvement on the multi-source spatial coordinate data to obtain geometric precision improvement data; performing geometric correction on the multi-source integrated linear data according to the geometric precision improvement data to obtain surveying and mapping geometric correction data; performing engineering surveying and mapping topological relationship determination on the surveying and mapping geometric correction data to obtain engineering surveying and mapping topological relationship data; Step S414: Perform three-dimensional mapping on the multi-source heterogeneous integrated data according to the multi-source spatial coordinate data, the surveying and mapping geometric correction data, and the engineering surveying and mapping topological relationship data to obtain three-dimensional mapping associated data.

[0046] In the embodiment of the present invention, spatial information analysis is performed by using geographic information system (GIS) technology in combination with multi-dimensional engineering surveying and mapping related data; specifically, the geographic registration tool of ArcGIS software is used to add control points and perform correction based on longitude and latitude grid coordinates to achieve spatial registration of raster data and obtain engineering surveying and mapping spatial information; image processing technology, such as edge detection and texture analysis, is used to enhance the spatial features of engineering surveying and mapping spatial information; for example, terrain factors such as slope, slope aspect, slope variation rate, and plane curvature of engineering surveying and mapping data are calculated, and then the landform is identified to obtain spatial feature enhanced data; by using photogrammetry and remote sensing technology in combination with spatial feature enhanced data, the coordinates of geographic elements are determined; specifically, through feature point extraction and matching technology, key feature points are extracted from the data set, and the corresponding relationship between the data is determined to generate geographic elements. Coordinate information; use mathematical transformation methods, such as matrix transformation, to perform nonlinear transformation on geographic feature coordinate information and multi-source heterogeneous integrated data; specifically, by establishing a mapping relationship from two-dimensional to three-dimensional coordinates; use data structuring technology to hierarchically divide multi-source integrated linear data; for example, organize data into a tree-like or network-like hierarchical structure based on the attributes and spatial relationships of the data; use spatial interpolation technology to perform spatial data interpolation on multi-source hierarchical data; for example, estimate the surface elevation attribute values ​​at different locations through interpolation methods; pair the geographic feature coordinate information with the multi-source structured spatial interpolation data for spatial coordinate pairing, perform geometric accuracy improvement on the multi-source spatial coordinate data, and obtain geometric accuracy improved data; use geometric correction technology, such as perspective transformation, to perform geometric correction on multi-source integrated linear data; use topological analysis technology to determine the topological relationship of surveying and mapping geometric correction data. For example, by analyzing the connection, adjacency and inclusion relationships between spatial objects, a topological network is constructed; three-dimensional mapping is performed using three-dimensional GIS technology in combination with multi-source spatial coordinate data, surveying and mapping geometry correction data, and engineering surveying and mapping topological relationship data; specifically, two-dimensional GIS data is converted into three-dimensional spatial data, for example, building data obtained through laser scanning or photogrammetry is used to construct a three-dimensional model of the building, and spatial positioning and mapping are performed.

[0047] Preferably, step S44 includes the following steps: Step S441: recording the update time of the real-time surveying and mapping update information to generate surveying and mapping update time information; identifying the update space of the real-time surveying and mapping update information to obtain surveying and mapping update space information; determining the update time corresponding space of the surveying and mapping update time information and the surveying and mapping update space information to generate update time-space corresponding data; performing time-space synchronization of the update information of the engineering surveying and mapping three-dimensional model based on the update time-space corresponding data to obtain update information time-space synchronization data; Step S442: updating the surface morphology of the engineering surveying and mapping three-dimensional model in real time according to the update information spatiotemporal synchronization data to obtain surface morphology update measures; mapping the building morphology of the engineering surveying and mapping three-dimensional model in real time in combination with the surface morphology update measures to obtain building morphology mapping measures; integrating the surface morphology update measures and the building morphology mapping measures to generate geometric structure dynamic adjustment data; Step S443: performing real-time matching of the relationship between the surface buildings on the engineering surveying and mapping three-dimensional model according to the updated information time-space synchronization data to obtain real-time matching data of the relationship between the surface and the buildings; performing real-time topological adjustment on the real-time matching data of the relationship between the surface and the buildings to obtain dynamic adjustment data of the relationship between the topology; Step S444: Based on the geometric structure dynamic adjustment data and the topological relationship dynamic adjustment data, the engineering surveying and mapping three-dimensional model is dynamically adjusted in real time to obtain the engineering surveying and mapping real-time three-dimensional model.

[0048] In an embodiment of the present invention, a timestamp technology is used to record the time of real-time surveying and mapping update information; for example, during the data collection and processing process, each update information will be assigned a timestamp to record the specific time point of its update; spatial identification technology, such as the geocoding function in the geographic information system (GIS), is used to spatially identify the real-time surveying and mapping update information; for example, by analyzing the high-resolution images taken by the drone, the spatial location of the surface changes is identified, and these changes are compared with the existing engineering surveying and mapping data to determine the updated spatial range; combining the surveying and mapping update time information and the surveying and mapping update space information, using the spatiotemporal analysis technology to determine the spatiotemporal correspondence of the update information; for example, through the spatiotemporal analysis tool of the GIS software, the timestamp is matched with the spatial location; using the spatiotemporal synchronization technology, combined with the update spatiotemporal corresponding data, the engineering surveying and mapping three-dimensional model is updated in real time; specifically, according to the real-time surveying and mapping update information, the existing three-dimensional model is modified and optimized using the three-dimensional GIS technology; using the three-dimensional GIS technology to analyze the spatiotemporal synchronization data of the update information, the surface morphology of the engineering surveying and mapping three-dimensional model is updated in real time; for example, by comparing the remote sensing image data at different time points, the surface morphology is identified 3D models can be modified to detect changes in the surface, such as the reconstruction or construction of roads, rivers and buildings. The 3D model can then be modified accordingly. 3D modeling techniques, such as oblique photogrammetry, can be used in combination with surface morphology update measures to map the building morphology in real time. For example, image data of buildings can be obtained through cameras carried by drones, and real-time mapping of building morphology can be performed to obtain building morphology mapping measures. Data fusion technology can be used to combine surface morphology update measures and building morphology mapping measures to generate geometric structure dynamic adjustment data. Time-space synchronization data can be used to match the relationship between the surface and buildings in the engineering surveying and mapping 3D model in real time. For example, the time-space analysis tools of GIS software can be used to compare the change information of the surface and buildings with the existing 3D model to specifically identify and update the spatial relationship between the surface and buildings. Topological analysis technology can be used to adjust the topological relationship of the real-time matching data of the ground-building relationship in real time. For example, by analyzing the spatial relationship between the surface and buildings, topological changes, such as intersection, inclusion or adjacent relationships, can be identified, and corresponding topological structure updates can be performed in the 3D model. In combination with geometric structure dynamic adjustment data and topological relationship dynamic adjustment data, 3D GIS technology can be used to dynamically adjust the engineering surveying and mapping 3D model in real time.

[0049] Preferably, step S45 includes the following steps: Step S451: performing color high-contrast rendering on the real-time three-dimensional model of engineering surveying and mapping to generate model high-contrast rendering data; performing rendering level refinement on the model high-contrast rendering data to obtain model rendering level data; Step S452: performing hierarchical stereoscopic shadow rendering on the real-time three-dimensional model of engineering surveying and mapping according to the model rendering hierarchical data to obtain model stereoscopic shadow rendering data; performing model perspective correction on the model stereoscopic shadow rendering data to generate model perspective correction data; Step S453: performing model texture mapping on the real-time three-dimensional model for engineering surveying and mapping based on the model perspective correction data to obtain model texture mapping data; performing three-dimensional visualization view enhancement on the real-time three-dimensional model for engineering surveying and mapping based on the model texture mapping data to obtain a three-dimensional enhanced model for engineering surveying and mapping; Step S454: output engineering surveying and mapping information based on the engineering surveying and mapping three-dimensional enhanced model to obtain engineering surveying and mapping output data; process the engineering surveying and mapping output data into information charts to obtain engineering surveying and mapping visualization charts; compile reports on the engineering surveying and mapping visualization charts to generate engineering surveying and mapping visualization reports.

[0050] In the embodiment of the present invention, a three-dimensional rendering software such as 3ds Max software is used to render the real-time 3D model of engineering surveying and mapping with high color contrast, specifically by adjusting the color saturation and contrast to make the outline of the building and the features of the surface more visually distinct; the high-contrast rendering data is further processed by using the rendering level refinement technology, specifically adjusting the texture, lighting and shadow of the model; the model is rendered with shadows using hierarchical stereo shadow rendering technology, such as ray tracing or radiosity algorithm, specifically simulating the interaction between light and the surface of the model to generate realistic shadow effects; the stereo shadow rendering data is perspective corrected using perspective correction technology, such as the perspective transformation function in the OpenCV library; specifically, the perspective distortion in the image is corrected by calculating the perspective transformation matrix and applying the matrix to the rendering data; the real texture image is mapped to the surface of the 3D model using texture mapping technology; specifically, the high-resolution texture image is accurately aligned with the surface of the model; the real-time 3D model of engineering surveying and mapping is enhanced with 3D visualization technology to obtain a 3D enhanced model of engineering surveying and mapping; the engineering surveying and mapping information is output based on the 3D enhanced model of engineering surveying and mapping to obtain the output data of engineering surveying and mapping; data visualization technology, such as Power BI processes the output data of engineering surveying and mapping into graphs, specifically by creating terrain profiles, building height distribution maps, etc., to obtain engineering surveying and mapping visualization charts; it compiles reports on the engineering surveying and mapping visualization charts to generate engineering surveying and mapping visualization reports.

[0051] In this specification, a three-dimensional model data management system for engineering surveying and mapping is provided, which is used to execute the above-mentioned three-dimensional model data management method for engineering surveying and mapping. The three-dimensional model data management system for engineering surveying and mapping includes: The engineering surveying and mapping data acquisition module is used to obtain engineering surveying and mapping data; pre-process the engineering surveying and mapping data to obtain standard engineering surveying and mapping data; perform multi-dimensional feature recognition on the standard engineering surveying and mapping data to obtain multi-dimensional surveying and mapping feature data; extract key engineering surveying and mapping information from the multi-dimensional surveying and mapping feature data to obtain key engineering surveying and mapping information; The real-time monitoring module for surveying and mapping data is used to correlate and analyze multi-dimensional surveying and mapping feature data and key engineering surveying and mapping information to generate multi-dimensional engineering surveying and mapping correlation data; to monitor engineering surveying and mapping data in real time to obtain real-time monitoring data for engineering surveying and mapping; The multi-source heterogeneous intelligent integration module is used to extract update information from real-time monitoring data of engineering surveying and mapping, and generate real-time surveying and mapping update information; it performs multi-source heterogeneous intelligent integration of standard engineering surveying and mapping data based on multi-dimensional engineering surveying and mapping related data and real-time surveying and mapping update information to obtain multi-source heterogeneous integrated data; The three-dimensional model dynamic adjustment module is used to perform three-dimensional data mapping on multi-source heterogeneous integrated data through multi-dimensional engineering surveying and mapping associated data to obtain three-dimensional mapping associated data; use multi-source heterogeneous integrated data and three-dimensional mapping associated data to construct an engineering surveying and mapping three-dimensional model to obtain an engineering surveying and mapping three-dimensional model; perform real-time dynamic adjustment on the engineering surveying and mapping three-dimensional model based on real-time surveying and mapping update information to obtain a real-time three-dimensional model for engineering surveying and mapping; perform three-dimensional visualization enhancement on the real-time three-dimensional model for engineering surveying and mapping to obtain a three-dimensional enhanced model for engineering surveying and mapping; display an engineering surveying and mapping report based on the three-dimensional enhanced model for engineering surveying and mapping, and generate an engineering surveying and mapping visualization report.

[0052] The present invention acquires engineering surveying and mapping data through an engineering surveying and mapping data acquisition module, providing a basic data source for subsequent data processing and analysis; pre-processes engineering surveying and mapping data and converts them into standard engineering surveying and mapping data, ensuring data consistency and comparability; the multi-dimensional feature recognition process can extract key geometric and non-geometric features from standard engineering surveying and mapping data; the extraction of key engineering surveying and mapping information further refines the multi-dimensional surveying and mapping feature data, making it more focused on information that has an important impact on engineering decision-making, and improving the availability and pertinence of information. Through the surveying and mapping data real-time monitoring module, the multi-dimensional surveying and mapping feature data is correlated and analyzed with key engineering surveying and mapping information, which can clarify the inherent connection between different surveying and mapping features; real-time monitoring of engineering surveying and mapping data and acquisition of engineering surveying and mapping real-time monitoring data can ensure the timeliness of engineering surveying and mapping information and provide the latest data support for engineering management; the extraction of updated information provides a dynamic update mechanism for standard engineering surveying and mapping data, ensuring the continuous accuracy and relevance of data. Through the multi-source heterogeneous intelligent integration module, the multi-dimensional engineering surveying and mapping related data and real-time surveying and mapping update information are combined, and through multi-source heterogeneous intelligent integration, data from different sources and formats can be integrated, which improves the comprehensiveness and availability of data; multi-source heterogeneous intelligent integration of standard engineering surveying and mapping data is carried out according to multi-dimensional engineering surveying and mapping related data and real-time surveying and mapping update information, so that engineering surveying and mapping data can reflect the latest engineering status. Through the three-dimensional model dynamic adjustment module, through three-dimensional data mapping, multi-source heterogeneous integrated data is converted into three-dimensional mapping related data, providing accurate spatial information for subsequent three-dimensional model construction; using multi-source heterogeneous integrated data and three-dimensional mapping related data to construct engineering surveying and mapping three-dimensional models, it can intuitively display the three-dimensional spatial structure of the project and improve the visualization of information; based on real-time surveying and mapping update information, the engineering surveying and mapping three-dimensional model is adjusted in real time and dynamically, which can reflect the latest status of the project; the three-dimensional visualization enhancement process further improves the visual effect and information expression ability of the engineering surveying and mapping three-dimensional model, making the engineering surveying and mapping three-dimensional enhanced model more intuitive and easy to understand; the engineering surveying and mapping report display based on the engineering surveying and mapping three-dimensional enhanced model can display information clearly, accurately and intuitively. Therefore, the present invention realizes the integrated management of multi-source heterogeneous data and the dynamic update management of data through data processing technology, geographic information system technology and three-dimensional mapping technology, thereby improving the accuracy of the presentation of engineering surveying and mapping three-dimensional models.

[0053] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0054] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A three-dimensional model data management method for engineering surveying and mapping, characterized in that: The following steps are involved: Step S1: Acquire engineering surveying and mapping data; pre-process the engineering surveying and mapping data to obtain standard engineering surveying and mapping data; perform multi-dimensional feature recognition on the standard engineering surveying and mapping data to obtain multi-dimensional surveying and mapping feature data; Extract key engineering surveying and mapping information from multi-dimensional surveying and mapping feature data to obtain key engineering surveying and mapping information; Step S2: performing correlation analysis on the multi-dimensional surveying and mapping feature data and the key engineering surveying and mapping information to generate multi-dimensional engineering surveying and mapping correlation data; performing real-time monitoring on the engineering surveying and mapping data to obtain engineering surveying and mapping real-time monitoring data; Step S3: extracting update information from the engineering surveying and mapping real-time monitoring data to generate real-time surveying and mapping update information; Based on multi-dimensional engineering surveying and mapping related data and real-time surveying and mapping update information, multi-source heterogeneous intelligent integration of standard engineering surveying and mapping data is performed to obtain multi-source heterogeneous integrated data; Step S4: performing three-dimensional data mapping on multi-source heterogeneous integrated data through multi-dimensional engineering surveying and mapping associated data to obtain three-dimensional mapping associated data; constructing an engineering surveying and mapping three-dimensional model using the multi-source heterogeneous integrated data and the three-dimensional mapping associated data to obtain an engineering surveying and mapping three-dimensional model; performing real-time dynamic adjustment on the engineering surveying and mapping three-dimensional model based on real-time surveying and mapping update information to obtain a real-time three-dimensional model for engineering surveying and mapping; performing three-dimensional visualization enhancement on the real-time three-dimensional model for engineering surveying and mapping to obtain a three-dimensional enhanced model for engineering surveying and mapping; Based on the engineering surveying and mapping 3D enhanced model, the engineering surveying and mapping report is displayed and a visualization report of the engineering surveying and mapping is generated.

2. The three-dimensional model data management method for engineering surveying and mapping according to claim 1, characterized in that: Step S1 includes the following steps: Step S11: using sensors and drone cameras to obtain engineering surveying and mapping data; Step S12: preprocessing the engineering surveying and mapping data to generate standard engineering surveying and mapping data, wherein the data preprocessing includes data decryption, data cleaning, data denoising and data standardization; Step S13: performing surface morphological feature recognition on the standard engineering surveying and mapping data to generate surface morphological feature data; performing building morphological feature extraction on the standard engineering surveying and mapping data according to the surface morphological feature data to obtain building morphological feature data; determining the relationship between surface buildings on the surface morphological feature data based on the building morphological feature data to generate surface building relationship data; integrating the surface morphological feature data, the building morphological feature data and the surface building relationship data to obtain multi-dimensional surveying and mapping feature data; Step S14: Perform micro- and macro-segmentation of the surface morphological characteristics of the multi-dimensional surveying and mapping feature data to obtain surface morphological micro- and macro-information; perform morphological structuring processing on the building morphological feature data through the surface morphological micro- and macro-information to generate building morphological structured information; perform surface-building relationship feature mapping on the surface morphological micro- and macro-information according to the building morphological structured information to obtain surface building mapping characteristics; integrate the surface morphological micro- and macro-information, the building morphological structured information and the surface building mapping information to obtain key engineering surveying and mapping information.

3. The three-dimensional model data management method for engineering surveying and mapping according to claim 1, characterized in that: Step S2 includes the following steps: Step S21: performing spatial structure matching on the building morphology structured information according to the surface morphology feature data to generate surface building spatial matching data; performing surface contour morphology recognition on the surface morphology micro-macro information through the surface building spatial matching data to obtain surface contour morphology data; Step S22: Calculate the terrain undulation of the surface contour morphology data to obtain terrain undulation data; determine the mapping degree of the surface building mapping information based on the terrain undulation data to generate surface building mapping degree data; identify the building contour features of the building morphology feature data according to the surface building mapping degree data to obtain building contour feature data; Step S23: Calculate the building outline vector of the building outline feature data to obtain the building outline vector data; determine the regional building distribution density of the surface building relationship data through the building outline vector data and the surface building mapping degree data to obtain the regional building distribution density; Step S24: performing metric scale association on the surface morphological feature data and the surface morphological micro-macro information to obtain metric scale association data; performing geometric attribute association on the surface contour morphological data and the building contour vector data to obtain geometric attribute association data; performing spatial distribution association on the terrain relief data and the regional building distribution density to obtain spatial distribution association data; integrating the metric scale association data, the geometric attribute association data and the spatial distribution association data to generate multi-dimensional engineering surveying and mapping association data; Step S25: Use the drone camera to perform real-time continuous imaging processing on the engineering surveying and mapping data to obtain real-time continuous imaging data for surveying and mapping; perform image digital conversion on the real-time continuous imaging data for surveying and mapping to obtain real-time continuous digital information for surveying and mapping; perform real-time monitoring on the real-time continuous digital information for surveying and mapping to obtain real-time monitoring data for engineering surveying and mapping.

4. The three-dimensional model data management method for engineering surveying and mapping according to claim 1, characterized in that: Step S3 includes the following steps: Step S31: performing incremental capture of surveying and mapping information on the real-time monitoring data of engineering surveying and mapping to generate incremental surveying and mapping information data; performing feature comparison on the standard engineering surveying and mapping data according to the incremental surveying and mapping information data to obtain incremental information comparison features; performing time series difference recognition on the incremental information comparison features to generate incremental time series difference information; Step S32: extracting difference points from the engineering surveying and mapping real-time monitoring data through the incremental time series difference information to generate surveying and mapping difference point data; marking change points of the standard engineering surveying and mapping data based on the surveying and mapping difference point data to obtain engineering surveying and mapping change data; extracting update information from the engineering surveying and mapping real-time monitoring data based on the engineering surveying and mapping change data to generate real-time surveying and mapping update information; Step S33: performing multi-source correlation feature recognition on the multi-dimensional engineering surveying and mapping related data to obtain surveying and mapping multi-source correlation feature data; performing dynamic data synchronization on the real-time surveying and mapping update information to obtain surveying and mapping data synchronization information; Step S34: Based on the surveying and mapping multi-source associated feature data and the surveying and mapping data synchronization information, multi-source heterogeneous intelligent integration is performed on the standard engineering surveying and mapping data to obtain multi-source heterogeneous integrated data.

5. The three-dimensional model data management method for engineering surveying and mapping according to claim 4, characterized in that: Step S34 includes the following steps: Step S341: extracting multi-source spatial features from the surveying and mapping multi-source associated feature data to obtain surveying and mapping spatial feature information; performing spatial information matching on the standard engineering surveying and mapping data according to the surveying and mapping spatial feature information to generate surveying and mapping spatial information matching data; Step S342: performing spatial position calibration on the standard engineering surveying and mapping data based on the surveying and mapping spatial information matching data to obtain surveying and mapping spatial position calibration data; performing spatial alignment on the surveying and mapping spatial position calibration data to generate engineering surveying and mapping spatial alignment data; Step S343: performing difference feature recognition on the synchronization information of the surveying and mapping data to generate synchronization information difference feature data; performing difference time point determination on the synchronization information difference feature data to obtain synchronization difference time point data; performing difference structure extraction on the synchronization information of the surveying and mapping data through the synchronization difference time point data to generate synchronization difference structure information; Step S344: performing multi-source heterogeneous feature recognition on the surveying and mapping multi-source associated feature data according to the synchronous difference structure information to obtain multi-source heterogeneous feature data; performing heterogeneous incremental data adaptive registration on the standard engineering surveying and mapping data through the multi-source heterogeneous feature data to obtain heterogeneous incremental registration information; performing heterogeneous data structure consistency on the multi-source heterogeneous feature data based on the heterogeneous incremental registration information to generate heterogeneous data structured information; performing real-time engineering surveying and mapping data integration on the heterogeneous incremental registration information and the heterogeneous data structured information to obtain multi-source heterogeneous integrated data.

6. The three-dimensional model data management method for engineering surveying and mapping according to claim 1, characterized in that: Step S4 includes the following steps: Step S41: performing three-dimensional data mapping on multi-source heterogeneous integrated data through multi-dimensional engineering surveying and mapping associated data to obtain three-dimensional mapping associated data; Step S42: constructing a 3D model for engineering surveying and mapping according to the multi-source heterogeneous integrated data and the 3D mapping associated data to obtain a 3D pre-model for engineering surveying and mapping, and training the 3D pre-model for engineering surveying and mapping using the multi-source heterogeneous integrated data and the 3D mapping associated data to obtain a 3D training model for engineering surveying and mapping; Step S43: performing model cross-validation evaluation on the engineering surveying and mapping three-dimensional training model to obtain engineering surveying and mapping three-dimensional training model evaluation data; adjusting model parameters of the engineering surveying and mapping three-dimensional training model using the engineering surveying and mapping three-dimensional training model evaluation data to obtain the engineering surveying and mapping three-dimensional model; Step S44: dynamically adjusting the engineering surveying and mapping three-dimensional model in real time based on the real-time surveying and mapping update information to obtain the engineering surveying and mapping real-time three-dimensional model; Step S45: Perform three-dimensional visualization enhancement on the real-time three-dimensional model of engineering surveying and mapping to obtain a three-dimensional enhanced model of engineering surveying and mapping; display the engineering surveying and mapping report based on the three-dimensional enhanced model of engineering surveying and mapping to generate a visualization report of engineering surveying and mapping.

7. The three-dimensional model data management method for engineering surveying and mapping according to claim 6, characterized in that: Step S41 includes the following steps: Step S411: performing spatial information analysis on the multi-dimensional engineering surveying and mapping related data to obtain engineering surveying and mapping spatial information; performing spatial feature enhancement on the engineering surveying and mapping spatial information to obtain spatial feature enhanced data; determining geographic element coordinates on the spatial feature enhanced data to generate geographic element coordinate information; Step S412: performing nonlinear transformation on the multi-source heterogeneous integrated data based on the coordinate information of geographic elements to obtain multi-source integrated linear data; performing hierarchical division on the multi-source integrated linear data to generate multi-source hierarchical structure data; performing spatial data interpolation on the multi-source hierarchical structure data to obtain multi-source structured spatial interpolation data; Step S413: pairing the geographic element coordinate information with the multi-source structure spatial interpolation data to generate multi-source spatial coordinate data; performing geometric precision improvement on the multi-source spatial coordinate data to obtain geometric precision improvement data; performing geometric correction on the multi-source integrated linear data according to the geometric precision improvement data to obtain surveying and mapping geometric correction data; performing engineering surveying and mapping topological relationship determination on the surveying and mapping geometric correction data to obtain engineering surveying and mapping topological relationship data; Step S414: Perform three-dimensional mapping on the multi-source heterogeneous integrated data according to the multi-source spatial coordinate data, the surveying and mapping geometric correction data, and the engineering surveying and mapping topological relationship data to obtain three-dimensional mapping associated data.

8. The three-dimensional model data management method for engineering surveying and mapping according to claim 6, characterized in that: Step S44 includes the following steps: Step S441: recording the update time of the real-time surveying and mapping update information to generate surveying and mapping update time information; identifying the update space of the real-time surveying and mapping update information to obtain surveying and mapping update space information; determining the update time corresponding space of the surveying and mapping update time information and the surveying and mapping update space information to generate update time-space corresponding data; performing time-space synchronization of the update information of the engineering surveying and mapping three-dimensional model based on the update time-space corresponding data to obtain update information time-space synchronization data; Step S442: updating the surface morphology of the engineering surveying and mapping three-dimensional model in real time according to the update information spatiotemporal synchronization data to obtain surface morphology update measures; mapping the building morphology of the engineering surveying and mapping three-dimensional model in real time in combination with the surface morphology update measures to obtain building morphology mapping measures; integrating the surface morphology update measures and the building morphology mapping measures to generate geometric structure dynamic adjustment data; Step S443: performing real-time matching of the relationship between the surface buildings on the engineering surveying and mapping three-dimensional model according to the updated information time-space synchronization data to obtain real-time matching data of the relationship between the surface and the buildings; performing real-time topological adjustment on the real-time matching data of the relationship between the surface and the buildings to obtain dynamic adjustment data of the relationship between the topology; Step S444: Based on the geometric structure dynamic adjustment data and the topological relationship dynamic adjustment data, the engineering surveying and mapping three-dimensional model is dynamically adjusted in real time to obtain the engineering surveying and mapping real-time three-dimensional model.

9. The three-dimensional model data management method for engineering surveying and mapping according to claim 6, characterized in that: Step S45 includes the following steps: Step S451: performing color high-contrast rendering on the real-time three-dimensional model of engineering surveying and mapping to generate model high-contrast rendering data; performing rendering level refinement on the model high-contrast rendering data to obtain model rendering level data; Step S452: performing hierarchical stereoscopic shadow rendering on the real-time three-dimensional model of engineering surveying and mapping according to the model rendering hierarchical data to obtain model stereoscopic shadow rendering data; performing model perspective correction on the model stereoscopic shadow rendering data to generate model perspective correction data; Step S453: performing model texture mapping on the real-time three-dimensional model for engineering surveying and mapping based on the model perspective correction data to obtain model texture mapping data; performing three-dimensional visualization view enhancement on the real-time three-dimensional model for engineering surveying and mapping based on the model texture mapping data to obtain a three-dimensional enhanced model for engineering surveying and mapping; Step S454: output engineering surveying and mapping information based on the engineering surveying and mapping three-dimensional enhanced model to obtain engineering surveying and mapping output data; process the engineering surveying and mapping output data into information charts to obtain engineering surveying and mapping visualization charts; compile reports on the engineering surveying and mapping visualization charts to generate engineering surveying and mapping visualization reports.

10. A three-dimensional model data management system for engineering surveying and mapping, characterized in that: Used to execute the three-dimensional model data management method for engineering surveying and mapping as claimed in claim 1, the three-dimensional model data management system for engineering surveying and mapping comprises: The engineering surveying and mapping data acquisition module is used to obtain engineering surveying and mapping data; pre-process the engineering surveying and mapping data to obtain standard engineering surveying and mapping data; perform multi-dimensional feature recognition on the standard engineering surveying and mapping data to obtain multi-dimensional surveying and mapping feature data; extract key engineering surveying and mapping information from the multi-dimensional surveying and mapping feature data to obtain key engineering surveying and mapping information; The real-time monitoring module for surveying and mapping data is used to correlate and analyze multi-dimensional surveying and mapping feature data and key engineering surveying and mapping information to generate multi-dimensional engineering surveying and mapping correlation data; to monitor engineering surveying and mapping data in real time to obtain real-time monitoring data for engineering surveying and mapping; The multi-source heterogeneous intelligent integration module is used to extract update information from real-time monitoring data of engineering surveying and mapping, and generate real-time surveying and mapping update information; it performs multi-source heterogeneous intelligent integration of standard engineering surveying and mapping data based on multi-dimensional engineering surveying and mapping related data and real-time surveying and mapping update information to obtain multi-source heterogeneous integrated data; The three-dimensional model dynamic adjustment module is used to perform three-dimensional data mapping on multi-source heterogeneous integrated data through multi-dimensional engineering surveying and mapping associated data to obtain three-dimensional mapping associated data; use multi-source heterogeneous integrated data and three-dimensional mapping associated data to construct an engineering surveying and mapping three-dimensional model to obtain an engineering surveying and mapping three-dimensional model; perform real-time dynamic adjustment on the engineering surveying and mapping three-dimensional model based on real-time surveying and mapping update information to obtain a real-time three-dimensional model for engineering surveying and mapping; perform three-dimensional visualization enhancement on the real-time three-dimensional model for engineering surveying and mapping to obtain a three-dimensional enhanced model for engineering surveying and mapping; display an engineering surveying and mapping report based on the three-dimensional enhanced model for engineering surveying and mapping, and generate an engineering surveying and mapping visualization report.

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