CN118918281A - Digital sand table construction method based on BIM and GIS - Google Patents

Abstract

The invention discloses a digital sand table construction method based on BIM and GIS, which relates to the field of electronic sand tables and comprises the following steps: data acquisition is carried out on the target greening area to obtain corresponding area data information; carrying out data processing on the obtained regional data information to obtain a corresponding digital elevation model, carrying out model verification on the corresponding digital elevation model, and storing the corresponding digital elevation model after the verification is passed; constructing a corresponding digital orthographic image based on the stored digital elevation model; building a corresponding space sand table model based on the constructed digital orthographic image and the digital elevation model; performing functional interaction and scene verification on the obtained space sand table model, and obtaining a corresponding electronic sand table when the verification is passed; the invention is beneficial to enhancing the visual perception effect of users on landscaping.

Description

Digital sand table construction method based on BIM and GIS

Technical Field

The invention relates to the field of electronic sand tables, in particular to a digital sand table construction method based on BIM and GIS.

Background

Compared with the prior art, the traditional physical sand table is visual, but is inconvenient to update and cannot reflect complex spatial data information in real time, and the traditional sand table is greatly limited in function due to static property and limitation and lack of interactivity, so that the problems which need to be solved are solved, and the digital sand table construction method based on BIM and GIS is provided.

Disclosure of Invention

The invention aims to provide a digital sand table construction method based on BIM and GIS.

The aim of the invention can be achieved by the following technical scheme: the digital sand table construction method based on BIM and GIS comprises the following steps:

Step one: data acquisition is carried out on the target greening area to obtain corresponding area data information;

step two: carrying out data processing on the obtained regional data information to obtain a corresponding digital elevation model, carrying out model verification on the corresponding digital elevation model, and storing the corresponding digital elevation model after the verification is passed;

Step three: constructing a corresponding digital orthographic image based on the stored digital elevation model;

Step four: building a corresponding space sand table model based on the constructed digital orthographic image and the digital elevation model;

Step five: and performing functional interaction and scene verification on the obtained space sand table model, and obtaining a corresponding electronic sand table after the verification is passed.

Further, the process of acquiring the data information of the corresponding region by collecting the data of the target greening region comprises the following steps:

the method comprises the steps of setting a data acquisition unit and an acquisition database, wherein the data acquisition unit is used for acquiring data of a target greening area in a plurality of acquisition modes to obtain corresponding acquisition data;

reading the acquired data, carrying out data induction and arrangement on the acquired data to acquire corresponding regional data information, and uploading the acquired regional data information into an acquisition database for storage.

Further, the process of performing data processing on the obtained region data information to obtain the corresponding digital elevation model includes:

Carrying out data preprocessing on the obtained regional data information, reading the preprocessed regional data information to obtain corresponding remote sensing data and laser measurement data, obtaining ground surface reflection or height information of a target region based on the obtained laser measurement data, and marking in the corresponding remote sensing data according to the obtained ground surface reflection or height information to obtain corresponding terrain data point clouds;

The obtained terrain data point cloud is split based on a Delaunay triangulation algorithm to obtain a corresponding triangle network,

Verifying the obtained triangle network, judging whether the triangle network meets a first preset standard, if not, continuing to split, and if so, storing the corresponding triangle network;

Performing high Cheng Chazhi on triangles in the corresponding triangle network based on the Kriging interpolation method after the storage is completed; and rasterizing the triangle network with the elevation interpolation completed and inputting the triangle network into GIS software to obtain a corresponding digital elevation model.

Further, the process of performing model verification on the corresponding digital elevation model comprises the following steps:

Acquiring a corresponding digital elevation model, and simultaneously acquiring a three-dimensional coordinate system corresponding to the corresponding digital elevation model;

dividing the obtained digital elevation model into areas according to the dividing requirement to obtain a plurality of identical square blocks;

acquiring a coordinate system where a corresponding digital elevation model is located, and marking the coordinate system as a first coordinate system;

Acquiring coordinate information corresponding to the corresponding square block based on the acquired first coordinate system;

acquiring visual points, and acquiring visual distances and fuzzy degrees corresponding to the corresponding square blocks from the corresponding visual points based on the acquired coordinate information and the visual points;

acquiring node coefficients corresponding to the corresponding square blocks based on the acquired visual distance and the corresponding fuzzy degree;

Setting a node threshold value, and comparing the obtained node coefficients with the node threshold value;

If the node coefficient is not lower than the node threshold value, performing no other operation;

if the node coefficient is lower than the node threshold, adjusting the corresponding square blocks, and after the adjustment is completed, performing model verification again until all the square blocks meet the requirements, and recombining the corresponding square blocks;

comparing the recombined digital elevation model with GIS data in the corresponding region data information and a second preset standard, and judging whether the corresponding digital elevation model meets the requirement according to a comparison result; if the requirements are not met, re-interpolating the corresponding triangle network and verifying the digital elevation model to obtain a new digital elevation model, and if the requirements are met, storing the corresponding digital elevation model.

Further, the process of constructing a corresponding digital orthophoto based on the saved digital elevation model includes:

Based on the extracted remote sensing data, a plurality of remote sensing images are obtained, the obtained remote sensing images are mapped into a coordinate system where a corresponding digital elevation model is located, and digital orthographic correction is carried out on a corresponding mapping process;

Performing image registration and image fusion on the mapped remote sensing images based on the mapping result, and obtaining corresponding digital orthographic images after the image registration and the image fusion are completed;

And comparing the obtained digital orthographic image with a corresponding third preset standard, if the third preset standard is met, storing the corresponding digital orthographic image, and if the third preset standard is not met, adjusting the resolution of the corresponding digital orthographic image until the resolution meets the requirement.

Further, the process of constructing the corresponding space sand table model based on the constructed digital orthographic image and the digital elevation model comprises the following steps:

inputting the obtained digital elevation model and the digital orthophoto into ArcGIS Pro software to obtain a corresponding topography-landform model;

Respectively importing corresponding regional data information into corresponding professional software to obtain a corresponding GIS data set layer, a BIM data set layer and a vector data set layer;

Meanwhile, constructing a corresponding vector labeling layer based on the topography-topography data, the matched equipment data of roads, water conservancy and management and maintenance houses and the data format, the expression form and the data volume corresponding to various greening vegetation data in the corresponding target area in the area data information;

the method comprises the steps of superposing an obtained GIS data set layer, a BIM data set layer, a vector data set layer and a vector labeling layer by taking a coordinate system of a corresponding topography-topography model base layer as an auxiliary coordinate system, and moving the corresponding layers up and down according to a display sequence until the display effect among the layers meets the actual requirement; obtaining a corresponding initial sand table model;

Partial data in the corresponding region data information is imported into corresponding three-dimensional modeling software for modeling, and a corresponding three-dimensional model is obtained;

Respectively deploying the obtained three-dimensional model into a corresponding image layer in a corresponding initial sand table model according to the type of the three-dimensional model, and adjusting the deployed three-dimensional model based on a corresponding auxiliary coordinate system; and after deployment is completed, obtaining a corresponding space sand table model.

Further, the process of performing functional interaction on the obtained space sand table model comprises the following steps:

and constructing a sand table interaction platform, and integrating the obtained sand table interaction platform with a corresponding space sand table model and the acquired regional data information to obtain a corresponding electronic sand table.

Further, the scene verification process for the obtained electronic sand table comprises the following steps:

Performing functional test based on the obtained electronic sand table, and collecting scene data in the corresponding functional test process;

Obtaining scene rendering data of the corresponding electronic sand table based on the obtained scene data;

Acquiring a rendering standard, comparing the acquired scene rendering data with a corresponding rendering standard, and checking and correcting the scene rendering state of a corresponding electronic sand table if at least one item of index data in the scene rendering data is lower than the corresponding rendering standard; and if the requirements are met, outputting the corresponding electronic sand table to obtain the corresponding digital sand table, and completing the construction of the digital sand table.

Compared with the prior art, the invention has the beneficial effects that:

1. The three-dimensional scene is built by superposing vector data such as roads, water systems, pipelines and the like based on the regional Digital Elevation Model (DEM) and the orthophoto (DOM), so that multi-source data are effectively integrated, and the precision and the practicability of the digital sand table are improved;

2. Through the integration of the basic function and the auxiliary function, the planning efficiency is improved, personalized requirements are met, the scientificity of planning decisions is improved, the quality of the digital sand table is ensured, and multi-source data are integrated to provide richer information.

Drawings

Fig. 1 is a schematic diagram of the present invention.

Detailed Description

As shown in fig. 1, the digital sand table construction method based on BIM and GIS includes the following steps:

Step one: data acquisition is carried out on the target greening area to obtain corresponding area data information;

step two: carrying out data processing on the obtained regional data information to obtain a corresponding digital elevation model, carrying out model verification on the corresponding digital elevation model, and storing the corresponding digital elevation model after the verification is passed;

Step three: constructing a corresponding digital orthographic image based on the stored digital elevation model;

Step four: building a corresponding space sand table model based on the constructed digital orthographic image and the digital elevation model;

step five: performing functional interaction and scene verification on the obtained space sand table model, and obtaining a corresponding electronic sand table when the verification is passed;

It should be further described that, in the specific implementation process, the process of acquiring data of the target greening area and obtaining data information of the corresponding area includes:

the method comprises the steps of setting a data acquisition unit and an acquisition database, wherein the data acquisition unit is used for carrying out data acquisition on a target greening area through a plurality of acquisition modes to obtain corresponding acquisition data, and the acquisition data comprise remote sensing data, laser measurement data, ground measurement data, sensing data and the like; wherein the plurality of acquisition modes comprise, but are not limited to, remote sensing acquisition (aerial remote sensing and satellite remote sensing), laser measurement, ground investigation, sensor acquisition and the like;

Reading the acquired data, and carrying out data induction and arrangement on the acquired data to acquire corresponding regional data information, wherein the regional data information comprises GIS data, BIM data and vegetation data of a target region, and also comprises roads, water systems, pipelines and other vector data; the GIS data comprises geographic information such as topography, landform, land utilization and the like of a target area; the BIM data comprise building information such as building structures, equipment layout and the like in a target area; the vegetation data comprises vegetation type, vegetation coverage degree and other information of a target area;

and uploading the acquired regional data information into an acquisition database for storage.

It should be further noted that, in the implementation process, the process of performing data processing on the obtained region data information to obtain the corresponding digital elevation model includes: performing data preprocessing on the obtained region data information, wherein the data preprocessing comprises, but is not limited to, data cleaning, data denoising, data correction and data filtering;

The data cleaning is used for identifying and processing abnormal data in the regional data information and comprises filling missing values, deleting repeated records or correcting error data; the data denoising is used for identifying and removing noise data in the regional data information based on a statistical algorithm; the data correction is used for correcting data with inconsistency in the regional data information; the data filtering is used for removing irrelevant data or invalid data in the regional data information based on a preset data standard;

After preprocessing is completed, reading the preprocessed region data information to obtain corresponding remote sensing data and laser measurement data, obtaining ground surface reflection or height information of a target region based on the obtained laser measurement data, and marking in the corresponding remote sensing data to obtain corresponding terrain data point clouds;

The obtained terrain data point cloud is split based on a Delaunay triangulation algorithm to obtain a corresponding triangle network,

Verifying the obtained triangle network, judging whether the triangle network meets a first preset standard, if not, continuing to split, and if so, storing the corresponding triangle network; the first prediction criterion includes that there are no overlapping triangles within the obtained triangle network and that the inscribed circle of each triangle contains no other topographical data points;

After the storage is completed, carrying out high Cheng Chazhi on triangles in the corresponding triangle network based on the Kriging interpolation method so as to realize smooth transition between the triangles;

Rasterizing the triangle network with the elevation interpolation completed and inputting the triangle network into GIS software to obtain a corresponding digital elevation model; the digital elevation model is expressed in the form of grid units, and each grid unit contains elevation information of the earth surface in the target area;

It should be further noted that, in the implementation process, the process of performing model verification on the corresponding digital elevation model includes:

Acquiring a corresponding digital elevation model, and simultaneously acquiring a three-dimensional coordinate system corresponding to the corresponding digital elevation model;

Dividing the obtained digital elevation model into areas according to dividing requirements to obtain a plurality of identical square blocks, wherein the dividing requirements comprise that the obtained square blocks cannot be overlapped, only one topographic data point can exist in each square block, the topographic data point is positioned at the center of the corresponding square block, and the position of the topographic data point can represent the position of the corresponding square block;

acquiring a coordinate system where a corresponding digital elevation model is located, and marking the coordinate system as a first coordinate system;

numbering the square blocks obtained, and marking the square blocks as i, i=1, 2, … …, n, n > 0 and n is an integer;

acquiring coordinate information corresponding to the corresponding square block based on the acquired first coordinate system, and marking the coordinate information as (xi, yi, zi);

Selecting one coordinate point at will and marking the coordinate point as a visual point P, wherein the visual point is positioned in a first coordinate system but is positioned outside the corresponding digital elevation model, and the corresponding visual point can read the corresponding digital elevation model;

Acquiring visual distances from the corresponding visual points to the corresponding square blocks i based on the acquired coordinate information and the visual points, and marking the acquired visual distances as L;

wherein, L= |xi-xp|+|yi-yp|+|zi-zp|;

meanwhile, the degree of blurring between the corresponding visual point P and the corresponding square block is obtained and noted as M, wherein, Wherein θ refers to the angle between the corresponding visual point p and the horizontal plane where the square block i is located; d represents the side length corresponding to the corresponding square data block i;

Further, acquiring node coefficients corresponding to the corresponding square blocks i based on the acquired visual distance and the corresponding blurring degree, and marking the acquired node coefficients as Ji;

wherein, Wherein C, c respectively represent a corresponding distance adjustment factor and a corresponding fuzzy adjustment factor, which are determined according to actual requirements;

Setting a node threshold value, and comparing the obtained node coefficients with the node threshold value;

If the node coefficient is not lower than the node threshold value, performing no other operation;

if the node coefficient is lower than the node threshold value, reading corresponding laser measurement data, and carrying out data point adjustment on the terrain data points in the corresponding square data blocks based on the corresponding laser measurement data, wherein the data point adjustment comprises adding or modifying the corresponding terrain control points in the corresponding square data blocks; the terrain control points are reference points for correcting and adjusting data in the digital elevation model, namely the terrain control points can be used for checking and correcting errors in the digital elevation model, and the quality and the accuracy of the digital elevation model are improved;

after the adjustment is completed, performing model verification again until all square blocks meet the requirements, and recombining the corresponding square blocks;

Comparing the recombined digital elevation model with GIS data in the corresponding region data information and a second preset standard, and judging whether the corresponding digital elevation model meets the requirement according to a comparison result; wherein the second preset standard means that the resolution of the digital elevation model is better than 30m;

If the requirements are not met, re-interpolating the corresponding triangle network and verifying the digital elevation model to obtain a new digital elevation model, and if the requirements are met, storing the corresponding digital elevation model.

It should be further noted that, in the implementation process, the process of constructing the corresponding digital orthographic image based on the saved digital elevation model includes:

Based on the extracted remote sensing data, a plurality of remote sensing images are obtained, the obtained remote sensing images are mapped into a coordinate system where a corresponding digital elevation model is located, and meanwhile digital orthographic correction is carried out on a corresponding mapping process, wherein the digital orthographic correction is used for the process of mapping the remote sensing images into the coordinate system, so that image distortion caused by ground deformation and topography fluctuation is eliminated;

Further, image registration and image fusion are carried out on the mapped remote sensing images based on the mapping result, wherein the image registration is to align coordinate systems of different remote sensing images so that the different remote sensing images are in the same geographic space range, and the image fusion is to fuse a plurality of remote sensing images into a seamless image; after the image registration and the image fusion are completed, obtaining a corresponding digital orthographic image;

comparing the obtained digital orthographic image with a corresponding third preset standard, if the third preset standard is met, storing the corresponding digital orthographic image, and if the third preset standard is not met, adjusting the resolution of the corresponding digital orthographic image until the resolution meets the requirement; wherein, the third preset standard means that the resolution of the digital orthographic image is better than 1m.

It should be further noted that, in the implementation process, the process of constructing the corresponding spatial sand table model based on the constructed digital orthographic image and the digital elevation model includes:

inputting the obtained digital elevation model and the digital orthophoto into ArcGIS Pro software to obtain a corresponding topography-landform model;

Respectively importing corresponding regional data information into corresponding professional software to obtain a corresponding GIS data set layer, a BIM data set layer and a vector data set layer; the GIS data set layer comprises, but is not limited to, a ground object layer, a cadastral layer, a geocoding layer, an environment layer and a vegetation layer; the BIM layer comprises, but is not limited to, a building structure layer, an equipment facility layer, a building appearance layer, a space planning layer and a material layer; the vector data set layer includes, but is not limited to, a road and pavement layer, a water system layer, and a piping layer;

Meanwhile, based on the region data information, obtaining the data format, the expression form and the data quantity corresponding to the topographic-geomorphic data, the matched facility equipment data such as roads, water conservancy, management and maintenance houses and the like in the corresponding target region and various greening vegetation data, and further constructing a corresponding vector labeling layer according to the data format, the expression form and the data quantity;

further, the obtained GIS data set layer, BIM data set layer, vector data set layer and vector labeling layer are overlapped by taking the coordinate system of the corresponding topography-topography model base layer as an auxiliary coordinate system, and the corresponding layers are moved up and down according to the display sequence until the display effect among the layers meets the actual requirement; obtaining a corresponding initial sand table model;

partial data in the corresponding region data information is imported into corresponding three-dimensional modeling software to perform modeling, and a corresponding three-dimensional model is obtained, wherein the three-dimensional model comprises a terrain model, a building model, an equipment model, an object model and an environment model, and further description is needed that the model precision is better than 10cm, and the model precision is performed by carrying out three-dimensional modeling based on DP-model three-dimensional modeling software linkage 3Ds Max by default;

Respectively deploying the obtained three-dimensional model into a corresponding image layer in a corresponding initial sand table model according to the type of the three-dimensional model, and adjusting the deployed three-dimensional model based on a corresponding auxiliary coordinate system so as to enable the deployed three-dimensional model to be more in line with an actual scene; and after deployment is completed, obtaining a corresponding space sand table model.

It should be further described that, in the specific implementation process, performing functional interaction and scene verification on the obtained spatial sand table model, and when the verification passes, obtaining a corresponding electronic sand table includes:

constructing a sand table interaction platform, wherein the sand table interaction platform has the functions of three-dimensional display, interactive operation, data analysis and the like;

Integrating the obtained sand table interaction platform with a corresponding space sand table model and the acquired region data information to obtain a corresponding electronic sand table, wherein the electronic sand table can provide a plurality of basic functions and auxiliary functions for a user based on the corresponding sand table interaction platform;

The basic functions comprise a space measurement, analysis and statistics function, a roaming function, a space and attribute bidirectional query function and a space object editing function;

The space measurement, analysis and statistics function refers to outputting corresponding three-dimensional scenes to a user according to a design planning drawing of a target area and area data information acquired in real time, and carrying out space distance and azimuth measurement, data statistics and analysis through the corresponding three-dimensional scenes;

The roaming function is used for providing a scene video of a target area for a user based on the electronic sand table, so that the user can overlook and roam the corresponding scene video through VR glasses at any view angle and height so as to know the area scene of the corresponding target area in detail;

The space and attribute bidirectional query function refers to that a user can query attribute information of space data of a target area based on a sand table interaction platform, wherein the space data comprises but is not limited to plots and vegetation coverage states of the target area;

The space object editing function means that objects in the electronic sand table can be created, modified and deleted based on the sand table interaction platform;

Meanwhile, the sand table interaction platform is also used for providing relevant auxiliary functions of regional planning for users based on the integrated basic functions; the specific auxiliary functions are as follows: the space object editing function is integrated, the space object editing is carried out on the corresponding electronic sand table based on the existing planning scheme, the edited electronic sand table is displayed to a user through the roaming function, so that the user can quickly obtain the planning scheme with high satisfaction, meanwhile, the data recording is carried out on the corresponding space object editing process, and the time and space information such as creation, modification and the like of the obtained space object can be used for managing and dynamically monitoring the planning object; the statistics and analysis are carried out on the recorded data, so that various application models can be constructed, and the space effect of the corresponding planning scheme is analyzed based on the constructed model;

Performing functional test based on the obtained electronic sand table, and collecting scene data in the corresponding functional test process;

obtaining scene rendering data of the corresponding electronic sand table based on the obtained scene data; the scene rendering data includes, but is not limited to, scene geometry data, texture data, illumination data, and texture data;

Acquiring a rendering standard, wherein the rendering standard refers to the expected requirement of each rendering result set by a worker according to actual requirements;

comparing the obtained scene rendering data with corresponding rendering standards, if at least one item of index data in the scene rendering data is lower than the corresponding rendering standards, indicating that the corresponding electronic sand table does not meet the expected requirement, and checking and correcting the scene rendering state of the corresponding electronic sand table; and if the requirements are met, outputting the corresponding electronic sand table to obtain the corresponding digital sand table, and completing the construction of the digital sand table.

The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.

Claims (8)

1. The digital sand table construction method based on BIM and GIS is characterized by comprising the following steps:

Step one: data acquisition is carried out on the target greening area to obtain corresponding area data information;

step two: carrying out data processing on the obtained regional data information to obtain a corresponding digital elevation model, carrying out model verification on the corresponding digital elevation model, and storing the corresponding digital elevation model after the verification is passed;

Step three: constructing a corresponding digital orthographic image based on the stored digital elevation model;

Step four: building a corresponding space sand table model based on the constructed digital orthographic image and the digital elevation model;

Step five: and performing functional interaction and scene verification on the obtained space sand table model, and obtaining a corresponding electronic sand table after the verification is passed.

2. The method for constructing a digital sand table based on BIM and GIS according to claim 1, wherein the process of acquiring data of the target greening area and obtaining data information of the corresponding area includes:

the method comprises the steps of setting a data acquisition unit and an acquisition database, wherein the data acquisition unit is used for acquiring data of a target greening area in a plurality of acquisition modes to obtain corresponding acquisition data;

reading the acquired data, carrying out data induction and arrangement on the acquired data to acquire corresponding regional data information, and uploading the acquired regional data information into an acquisition database for storage.

3. The method for constructing a digital sand table based on BIM and GIS according to claim 2, wherein the process of performing data processing on the obtained region data information to obtain the corresponding digital elevation model includes:

Carrying out data preprocessing on the obtained regional data information, reading the preprocessed regional data information to obtain corresponding remote sensing data and laser measurement data, obtaining ground surface reflection or height information of a target region based on the obtained laser measurement data, and marking in the corresponding remote sensing data according to the obtained ground surface reflection or height information to obtain corresponding terrain data point clouds;

The obtained terrain data point cloud is split based on a Delaunay triangulation algorithm to obtain a corresponding triangle network,

Verifying the obtained triangle network, judging whether the triangle network meets a first preset standard, if not, continuing to split, and if so, storing the corresponding triangle network;

Performing high Cheng Chazhi on triangles in the corresponding triangle network based on the Kriging interpolation method after the storage is completed; and rasterizing the triangle network with the elevation interpolation completed and inputting the triangle network into GIS software to obtain a corresponding digital elevation model.

4. A method of building a digital sand table based on BIM and GIS according to claim 3, wherein the process of model verification of the corresponding digital elevation model includes:

Acquiring a corresponding digital elevation model, and simultaneously acquiring a three-dimensional coordinate system corresponding to the corresponding digital elevation model;

dividing the obtained digital elevation model into areas according to the dividing requirement to obtain a plurality of identical square blocks;

acquiring a coordinate system where a corresponding digital elevation model is located, and marking the coordinate system as a first coordinate system;

Acquiring coordinate information corresponding to the corresponding square block based on the acquired first coordinate system;

acquiring visual points, and acquiring visual distances and fuzzy degrees corresponding to the corresponding square blocks from the corresponding visual points based on the acquired coordinate information and the visual points;

acquiring node coefficients corresponding to the corresponding square blocks based on the acquired visual distance and the corresponding fuzzy degree;

Setting a node threshold value, and comparing the obtained node coefficients with the node threshold value;

If the node coefficient is not lower than the node threshold value, performing no other operation;

if the node coefficient is lower than the node threshold, adjusting the corresponding square blocks, and after the adjustment is completed, performing model verification again until all the square blocks meet the requirements, and recombining the corresponding square blocks;

comparing the recombined digital elevation model with GIS data in the corresponding region data information and a second preset standard, and judging whether the corresponding digital elevation model meets the requirement according to a comparison result; if the requirements are not met, re-interpolating the corresponding triangle network and verifying the digital elevation model to obtain a new digital elevation model, and if the requirements are met, storing the corresponding digital elevation model.

5. The method of building a digital sand table based on BIM and GIS according to claim 4, wherein the process of building the corresponding digital orthographic image based on the stored digital elevation model includes:

Based on the extracted remote sensing data, a plurality of remote sensing images are obtained, the obtained remote sensing images are mapped into a coordinate system where a corresponding digital elevation model is located, and digital orthographic correction is carried out on a corresponding mapping process;

Performing image registration and image fusion on the mapped remote sensing images based on the mapping result, and obtaining corresponding digital orthographic images after the image registration and the image fusion are completed;

And comparing the obtained digital orthographic image with a corresponding third preset standard, if the third preset standard is met, storing the corresponding digital orthographic image, and if the third preset standard is not met, adjusting the resolution of the corresponding digital orthographic image until the resolution meets the requirement.

6. The method for constructing a digital sand table based on BIM and GIS according to claim 5, wherein the process of constructing a corresponding spatial sand table model based on the constructed digital orthographic image and the digital elevation model includes:

inputting the obtained digital elevation model and the digital orthophoto into ArcGIS Pro software to obtain a corresponding topography-landform model;

Respectively importing corresponding regional data information into corresponding professional software to obtain a corresponding GIS data set layer, a BIM data set layer and a vector data set layer;

Meanwhile, constructing a corresponding vector labeling layer based on the topography-topography data, the matched equipment data of roads, water conservancy and management and maintenance houses and the data format, the expression form and the data volume corresponding to various greening vegetation data in the corresponding target area in the area data information;

the method comprises the steps of superposing an obtained GIS data set layer, a BIM data set layer, a vector data set layer and a vector labeling layer by taking a coordinate system of a corresponding topography-topography model base layer as an auxiliary coordinate system, and moving the corresponding layers up and down according to a display sequence until the display effect among the layers meets the actual requirement; obtaining a corresponding initial sand table model;

Partial data in the corresponding region data information is imported into corresponding three-dimensional modeling software for modeling, and a corresponding three-dimensional model is obtained;

Respectively deploying the obtained three-dimensional model into a corresponding image layer in a corresponding initial sand table model according to the type of the three-dimensional model, and adjusting the deployed three-dimensional model based on a corresponding auxiliary coordinate system; and after deployment is completed, obtaining a corresponding space sand table model.

7. The method for constructing a digital sand table based on BIM and GIS according to claim 6, wherein the process of performing the functional interaction on the obtained spatial sand table model includes:

and constructing a sand table interaction platform, and integrating the obtained sand table interaction platform with a corresponding space sand table model and the acquired regional data information to obtain a corresponding electronic sand table.

8. The method for constructing a digital sand table based on BIM and GIS according to claim 7, wherein the process of performing scene verification on the obtained electronic sand table includes:

Performing functional test based on the obtained electronic sand table, and collecting scene data in the corresponding functional test process;

Obtaining scene rendering data of the corresponding electronic sand table based on the obtained scene data;

Acquiring a rendering standard, comparing the acquired scene rendering data with a corresponding rendering standard, and checking and correcting the scene rendering state of a corresponding electronic sand table if at least one item of index data in the scene rendering data is lower than the corresponding rendering standard; and if the requirements are met, outputting the corresponding electronic sand table to obtain the corresponding digital sand table, and completing the construction of the digital sand table.