CN117272495A - Image and data organization, fusion loading and display method and system - Google Patents

Abstract

The invention relates to an image and data organization, fusion loading and display method and system, which belong to the technical field of image data loading and display, a graph database of a BIM model is constructed, non-geometric data and geometric data of the BIM model are stripped through the graph database of the BIM model, lightweight calculation is carried out on the geometric data based on a QEM algorithm to obtain a lightweight model, LOD geometric data and required LOD grade information of the lightweight model are obtained, LOD geometric data of the same grade are called in the model database based on the LOD geometric data and the required LOD grade information to obtain a minimum loading model, occlusion object bounding box information is obtained, and an occlusion rejection result is obtained by carrying out combined calculation on the occlusion object bounding box information and a model view projection matrix. The method and the system can organize, fuse, load and display images and data of the BIM model at the webpage end, and improve the display efficiency of graphics and the use experience of users.

Description

Image and data organization, fusion loading and display method and system

Technical Field

The invention relates to the technical field of graphic data loading and displaying, in particular to an image and data organization, fusion loading and displaying method and system.

Background

BIM is a digital representation mode integrating information in the fields of construction, engineering and construction, and can provide valuable information in the stages of design, construction, operation and maintenance and the like. With the increase of computer hardware and graphics processing capability, graphics technology has rapidly evolved from the earliest line drawing to pixel-by-pixel rasterization to today's advanced techniques of real-time ray tracing and volume rendering, which advances enable data to be presented in a more intuitive and easy-to-understand manner, thereby facilitating decision-making and analysis. The existing BIM model loading method generally has the problem that the speed of model downloading and rendering is slow, the loading process and model operation cannot reach the optimal fluency, so that the BIM model is low in efficiency in the daily use process, the calling quality is difficult to expect, and the assembly type management of model display and the display management of project-level general BIM model are difficult to realize, so that an image and data organization, fusion loading and display method is urgently needed to solve the problems.

Disclosure of Invention

The invention overcomes the defects of the prior art and provides a method and a system for organizing, fusing, loading and displaying images and data.

In order to achieve the above purpose, the invention adopts the following technical scheme:

the invention provides an image and data organization, fusion loading and display method, which comprises the following steps:

obtaining a plurality of vector graphic files of a BIM model, analyzing contents according to the plurality of vector graphic files to obtain geometric primitive information and drawing attribute information, and embedding a drawing segment frame of a tree structure into the geometric primitive information and the drawing attribute information to obtain a graphic database of the BIM model;

stripping non-geometric data and geometric data of the BIM model through BIM model software and a graphic database of the BIM model, and carrying out light weight calculation on the geometric data based on a QEM algorithm to obtain a light weight model;

acquiring LOD geometric data and required LOD grade information of a lightweight model, calling the LOD geometric data of the same grade in a model database based on the LOD geometric data and the required LOD grade information to obtain a minimum loading model, and verifying when the minimum loading model receives the response of the LOD geometric data of the same grade to obtain a loading result;

acquiring shelter bounding box information, generating shelter test results by combining and calculating the shelter bounding box information with a model view projection matrix, and analyzing and removing the shelter test results to obtain shelter removal results;

Acquiring creation demand information of a user, drawing a reference method according to the creation demand information of the user to obtain a graph data reference method, simultaneously establishing a data set containing path data, traversing and screening the path data in the data set, and generating a screening result.

Further, in a preferred embodiment of the present invention, the obtaining a plurality of vector graphics files of the BIM model, and resolving content according to the plurality of vector graphics files to obtain geometric primitive information and drawing attribute information, embedding the geometric primitive information and the drawing attribute information into a drawing segment frame for constructing a tree structure, to obtain a graphic database of the BIM model, specifically includes the following steps:

obtaining a plurality of vector graphic files of a BIM model, simultaneously obtaining file format types corresponding to the plurality of vector graphic files, calculating the duty quantity of the file format types to obtain a file format duty value, and carrying out format conversion on the vector graphic files of the BIM model by taking the highest duty value as a reference to obtain a plurality of vector graphic files with uniform formats;

analyzing the vector graphic files with the uniform formats to obtain file streams, selecting corresponding analysis tools according to the file streams to read file contents to obtain preview contents of the vector graphic files, extracting file format specifications based on the vector graphic files with the uniform formats, and analyzing the preview contents through the file format specifications to obtain geometric primitive information and drawing attribute information;

Constructing and rendering the geometric primitive information and the drawing attribute information through an OpenGL graphic display engine to obtain visualized data of a plurality of vector graphics;

constructing a drawing segment frame, defining different root nodes, branch nodes and leaf nodes in the drawing segment frame to obtain a drawing segment frame of a tree structure, importing the visualized data of the plurality of vector graphics into the drawing segment frame of the tree structure, and classifying and embedding the visualized data according to the requirements of the root nodes, the branch nodes and the leaf nodes to obtain a graphic database of a BIM model.

Further, in a preferred embodiment of the present invention, the non-geometric data and geometric data of the BIM model are stripped through the BIM model software and the graphic database of the BIM model, and the geometric data is subjected to light-weight calculation based on a QEM algorithm to obtain a light-weight model, which specifically includes the following steps:

acquiring component object information of a BIM model, dividing the component object information into a plurality of sub-information segments, defining target data attributes, searching the sub-information segments based on a graphic database of the BIM model until search results meet the target data attributes, and determining non-geometric data of a plurality of BIM models;

Performing table summarization and export on a plurality of non-geometric data through an API provided by BIM model software to obtain a non-geometric data table of a BIM model, analyzing a stripping script corresponding to data compiling in the non-geometric data table, importing the non-geometric data table of the BIM model into the stripping script for stripping to obtain geometric data of the BIM model;

calculating the association degree between the non-geometric data and the geometric data based on a covariance algorithm, defining the non-geometric data and the geometric data as association variables, judging the distribution of covariance between the association variables in a value range from-1 to obtain the association degree, judging whether the association degree is larger than a preset association degree, and if so, carrying out light weight processing on the geometric data;

and carrying out light weight calculation on the geometric data based on a QEM algorithm, determining vertexes to be simplified in the geometric data, calculating quadric surface errors between the vertexes to be simplified and adjacent points, surfaces and lines, minimizing the quadric surface errors, screening optimal vertexes, and merging simultaneously to obtain a light weight model.

Further, in a preferred embodiment of the present invention, the obtaining LOD geometry data and required LOD grade information of a lightweight model, and calling LOD geometry data of the same grade in a model database based on the LOD geometry data and the required LOD grade information, obtaining a minimum loading model, and calculating a response time of the minimum loading model to receive the LOD geometry data of the same grade, to verify, and obtaining a loading result, which specifically includes the following steps:

Constructing a grid segmentation coordinate system, defining the lightweight model as a region to be segmented, and importing the lightweight model into the grid segmentation coordinate system to carry out region division to obtain coordinate values of a plurality of sub-segmentation regions;

determining the vertex position in each sub-divided area based on the coordinate values of the plurality of sub-divided areas, carrying out hierarchical detail division on the lightweight model through an LOD-resolution algorithm, calculating error measurement of each vertex position, selecting secondary vertices in each sub-divided area according to the error measurement to be combined, and carrying out multiple iterations until the preset LOD level is met, so as to obtain LOD geometric data of the lightweight model;

obtaining initial operation demand information of a user, analyzing the initial operation demand information of the user to determine required LOD grade information, constructing a model database, storing LOD geometric data of the lightweight model into the model database, and calling LOD geometric data of the same grade in the model database based on the required LOD grade information to obtain a minimum loading model;

acquiring real-time operation information of a user, determining browsing view angle variation of the user according to the real-time operation information of the user, and asynchronously sending a request to a server based on the browsing view angle variation of the user and the required LOD grade information to obtain LOD geometric data of the same grade;

And when the minimum loading model receives the response of the LOD geometric data of the same level, obtaining the actual response time length, judging whether the actual response time length is smaller than the preset response time length, and if so, loading the streaming asynchronous system to obtain a loading result.

Further, in a preferred embodiment of the present invention, the obtaining occlusion bounding box information, by performing a combined calculation on the occlusion bounding box information and a model view projection matrix, generates an occlusion test result, and performs analysis and rejection based on the occlusion test result to obtain an occlusion rejection result, specifically includes the following steps:

obtaining a browsing view angle range of a current user, visually determining objects in the browsing view angle range through a camera view cone to obtain an object set, and detecting a shelter potentially shielding the LOD geometric data in the object set based on a hierarchical bounding box tree algorithm to obtain shelter bounding box information;

constructing a model view projection matrix, obtaining a two-dimensional bounding box under projection by combining and calculating the information of the shelter bounding box with the model view projection matrix, and calculating the shelter relation of the two-dimensional bounding box based on an HZB algorithm to obtain a specific shelter relation of the bounding box;

Transmitting the information of the shielding object bounding box into a computer shader, selecting an optimal Mic level in the computer shader, executing shielding test on the shielding relation of the two-dimensional bounding box to obtain a shielding pixel value, judging whether the shielding pixel value is smaller than a preset pixel value range, and if so, marking the two-dimensional bounding box as a reject object to generate a shielding test result;

and extracting an object to be removed based on the shielding test result, removing the object to be removed, and continuously rendering the rest objects to obtain a shielding removal result.

Further, in a preferred embodiment of the present invention, the method for obtaining the creation requirement information of the user and drawing the reference method according to the creation requirement information of the user obtains the graphic data reference method, and establishes a data set containing path data, and performs traversal screening on the path data in the data set to generate a screening result, which specifically includes the following steps:

acquiring creation demand information of a user, constructing a model object to be drawn and a plurality of instance objects according to the creation demand information, setting the plurality of instance objects as reference relations and pointing to the model object to be drawn, and rendering the model object to be drawn in a redirection relation to obtain a graphic data reference method;

Presetting corresponding condition attributes according to the creation demand information of the user, and drawing paths according to the corresponding condition attributes to obtain standard path data;

establishing a data set containing path data, starting to draw a path, traversing the path data in the data set containing the path data, screening the data set containing the path data based on the standard path data, and judging whether the path data in the data set accords with the standard path data;

if yes, marking the path data as path data to be drawn, and if not, skipping drawing of the path data and generating a screening result.

The second aspect of the present invention provides an image and data organization, fusion loading and displaying system, the image and data organization, fusion loading and displaying system including a memory and a processor, the memory storing an image and data organization, fusion loading and displaying method program, the image and data organization, fusion loading and displaying method program when executed by the processor implementing the steps of:

obtaining a plurality of vector graphic files of a BIM model, analyzing contents according to the plurality of vector graphic files to obtain geometric primitive information and drawing attribute information, and embedding a drawing segment frame of a tree structure into the geometric primitive information and the drawing attribute information to obtain a graphic database of the BIM model;

Stripping non-geometric data and geometric data of the BIM model through BIM model software and a graphic database of the BIM model, and carrying out light weight calculation on the geometric data based on a QEM algorithm to obtain a light weight model;

acquiring LOD geometric data and required LOD grade information of a lightweight model, calling the LOD geometric data of the same grade in a model database based on the LOD geometric data and the required LOD grade information to obtain a minimum loading model, and verifying when the minimum loading model receives the response of the LOD geometric data of the same grade to obtain a loading result;

acquiring shelter bounding box information, generating shelter test results by combining and calculating the shelter bounding box information with a model view projection matrix, and analyzing and removing the shelter test results to obtain shelter removal results;

acquiring creation demand information of a user, drawing a reference method according to the creation demand information of the user to obtain a graph data reference method, simultaneously establishing a data set containing path data, traversing and screening the path data in the data set, and generating a screening result.

Further, in a preferred embodiment of the present invention, the method for obtaining the creation requirement information of the user and drawing the reference method according to the creation requirement information of the user obtains the graphic data reference method, and establishes a data set containing path data, and performs traversal screening on the path data in the data set to generate a screening result, which specifically includes the following steps:

acquiring creation demand information of a user, constructing a model object to be drawn and a plurality of instance objects according to the creation demand information, setting the plurality of instance objects as reference relations and pointing to the model object to be drawn, and rendering the model object to be drawn in a redirection relation to obtain a graphic data reference method;

presetting corresponding condition attributes according to the creation demand information of the user, and drawing paths according to the corresponding condition attributes to obtain standard path data;

establishing a data set containing path data, starting to draw a path, traversing the path data in the data set containing the path data, screening the data set containing the path data based on the standard path data, and judging whether the path data in the data set accords with the standard path data;

If yes, marking the path data as path data to be drawn, and if not, skipping drawing of the path data and generating a screening result.

The invention solves the technical defects existing in the background technology, and has the beneficial technical effects that:

obtaining geometric primitive information and drawing attribute information, constructing a drawing segment frame of a tree structure, embedding the geometric primitive information and the drawing attribute information, obtaining a graphic database of a BIM model, stripping non-geometric data and geometric data of the BIM model through the graphic database of the BIM model, carrying out light weight calculation on the geometric data based on a QEM algorithm, obtaining a light weight model, obtaining LOD geometric data of the light weight model and required LOD grade information, calling same-grade LOD geometric data in the model database based on the LOD geometric data and the required LOD grade information, obtaining a minimum loading model, obtaining shelter bounding box information, carrying out combined calculation on the shelter bounding box information and a model view projection matrix, obtaining a shelter rejection result, simultaneously establishing a data set containing path data, carrying out traversal screening on the path data in the data set, and generating a screening result. The method and the device can improve the display efficiency of the graph, realize a loading process with better experience and smooth model operation, and improve the use experience of users.

Drawings

In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other embodiments of the drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a first method flow diagram of an image and data organization, fusion loading and presentation method;

FIG. 2 is a second method flow diagram of an image and data organization, fusion loading and presentation method;

FIG. 3 is a third method flow diagram illustrating an image and data organization, fusion loading and presentation method;

FIG. 4 illustrates a system frame diagram of an image and data organization, fusion loading and presentation system.

Detailed Description

In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.

The invention provides an image and data organization, fusion loading and display method, which is shown in figure 1 and comprises the following steps:

s102: obtaining a plurality of vector graphic files of a BIM model, analyzing contents according to the plurality of vector graphic files to obtain geometric primitive information and drawing attribute information, and embedding a drawing segment frame of a tree structure into the geometric primitive information and the drawing attribute information to obtain a graphic database of the BIM model;

s104: stripping non-geometric data and geometric data of the BIM model through BIM model software and a graphic database of the BIM model, and carrying out light weight calculation on the geometric data based on a QEM algorithm to obtain a light weight model;

s106: acquiring LOD geometric data and required LOD grade information of a lightweight model, calling the LOD geometric data of the same grade in a model database based on the LOD geometric data and the required LOD grade information to obtain a minimum loading model, and verifying when the minimum loading model receives the response of the LOD geometric data of the same grade to obtain a loading result;

S108: acquiring shelter bounding box information, generating shelter test results by combining and calculating the shelter bounding box information with a model view projection matrix, and analyzing and removing the shelter test results to obtain shelter removal results;

s110: acquiring creation demand information of a user, drawing a reference method according to the creation demand information of the user to obtain a graph data reference method, simultaneously establishing a data set containing path data, traversing and screening the path data in the data set, and generating a screening result.

Further, in a preferred embodiment of the present invention, the obtaining a plurality of vector graphics files of the BIM model, and resolving content according to the plurality of vector graphics files to obtain geometric primitive information and drawing attribute information, embedding the geometric primitive information and the drawing attribute information into a drawing segment frame for constructing a tree structure, to obtain a graphic database of the BIM model, specifically includes the following steps:

obtaining a plurality of vector graphic files of a BIM model, simultaneously obtaining file format types corresponding to the plurality of vector graphic files, calculating the duty quantity of the file format types to obtain a file format duty value, and carrying out format conversion on the vector graphic files of the BIM model by taking the highest duty value as a reference to obtain a plurality of vector graphic files with uniform formats;

Analyzing the vector graphic files with the uniform formats to obtain file streams, selecting corresponding analysis tools according to the file streams to read file contents to obtain preview contents of the vector graphic files, extracting file format specifications based on the vector graphic files with the uniform formats, and analyzing the preview contents through the file format specifications to obtain geometric primitive information and drawing attribute information;

constructing and rendering the geometric primitive information and the drawing attribute information through an OpenGL graphic display engine to obtain visualized data of a plurality of vector graphics;

constructing a drawing segment frame, defining different root nodes, branch nodes and leaf nodes in the drawing segment frame to obtain a drawing segment frame of a tree structure, importing the visualized data of the plurality of vector graphics into the drawing segment frame of the tree structure, and classifying and embedding the visualized data according to the requirements of the root nodes, the branch nodes and the leaf nodes to obtain a graphic database of a BIM model.

It should be noted that, the graphic system primitive storage database is constructed, the graphic data can be quickly modified and traversed, thus improving the requirements of complex BIM model data management and graphic display, the vector graphic file is an image type file describing images through mathematical formulas and geometric shapes in the BIM model, the high-quality and scalable images in the BIM model can be clearly displayed, the premise of constructing the graphic system primitive storage database is that the vector graphic file format needs to be uniformly converted, the file can be quickly previewed and read by the same parsing tool, the construction rate of the database is improved, the geometric primitive information comprises information such as points, line segments, polygons and the like, the drawing attribute information comprises information such as colors, line types, filling and the like, the geometric primitive information and the drawing attribute information are acquired in the vector graphic file, then the geometric primitive information and the drawing attribute information are further rendered through an OpenGL graphic display engine, the visual data is provided for constructing a tree-structured segment frame, the graphic storage can be finely ensured, the tree-structured drawing segment frame can be displayed, the root nodes, the tree-structured segment frame is generally provided with the root nodes, the multiple leaf nodes and the corresponding tree-shaped nodes can be quickly displayed, and the vector graphics can be quickly classified and the user can be found. The method can construct a graphic system primitive storage database, can quickly modify and traverse graphic data, and improves the efficiency and flexibility of graphic drawing and displaying.

Further, in a preferred embodiment of the present invention, the non-geometric data and geometric data of the BIM model are stripped through the BIM model software and the graphic database of the BIM model, and the geometric data is subjected to light weight calculation based on the QEM algorithm to obtain a light weight model, as shown in fig. 2, which specifically includes the following steps:

s202: acquiring component object information of a BIM model, dividing the component object information into a plurality of sub-information segments, defining target data attributes, searching the sub-information segments based on a graphic database of the BIM model until search results meet the target data attributes, and determining non-geometric data of a plurality of BIM models;

s204: performing table summarization and export on a plurality of non-geometric data through an API provided by BIM model software to obtain a non-geometric data table of a BIM model, analyzing a stripping script corresponding to data compiling in the non-geometric data table, importing the non-geometric data table of the BIM model into the stripping script for stripping to obtain geometric data of the BIM model;

s206: calculating the association degree between the non-geometric data and the geometric data based on a covariance algorithm, defining the non-geometric data and the geometric data as association variables, judging the distribution of covariance between the association variables in a value range from-1 to obtain the association degree, judging whether the association degree is larger than a preset association degree, and if so, carrying out light weight processing on the geometric data;

S208: and carrying out light weight calculation on the geometric data based on a QEM algorithm, determining vertexes to be simplified in the geometric data, calculating quadric surface errors between the vertexes to be simplified and adjacent points, surfaces and lines, minimizing the quadric surface errors, screening optimal vertexes, and merging simultaneously to obtain a light weight model.

It should be noted that, the component object information includes geometric information, attribute information, material information, structure information, etc., the non-geometric data is related business data such as subsection item structure data, component attribute data, etc. included in the BIM model, the geometric data is two-dimensional and three-dimensional model data visible in the BIM model, the geometric data and the non-geometric data are related to each other in the BIM model, and the non-geometric data can be used for back-end application by digital-analog separation, so that the volume of the BIM model file is reduced by about 20% -50%, the downloading speed of the model is improved, firstly, it is required to explicitly define which data belong to the non-geometric data, the non-geometric data is usually stored in the component object of the BIM model or related database, therefore, the non-geometric data is obtained according to the component object information, and summarizing the non-geometric data through an API in BIM model software, arranging a table format for output, compiling a corresponding stripping script according to the table, performing digital-analog separation through the stripping script to obtain geometric data, finally performing calculation and verification on the degree of association between the separated geometric data and the non-geometric data, judging whether the degree of association calculated through a covariance algorithm is larger than a preset degree of association, if so, performing light weight processing on the geometric data, wherein the light weight processing can reduce the calculated amount during model downloading and rendering, improve the loading and display speed of the model, perform light weight calculation through a QEM algorithm, evaluate the simplifying effect of vertexes through using a secondary error measure, maintain the surface characteristics of the original model, and finally obtain the light weight model. The method can realize digital-analog separation and light weight processing of the BIM model, thereby improving the speed of model downloading and rendering, greatly saving the waiting time of user operation and having high reliability.

Further, in a preferred embodiment of the present invention, the obtaining LOD geometry data and required LOD grade information of a lightweight model, and calling LOD geometry data of the same grade in a model database based on the LOD geometry data and the required LOD grade information, obtaining a minimum loading model, and calculating a response time of the minimum loading model to receive LOD geometry data of the same grade, and verifying, to obtain a loading result, specifically including the following steps:

constructing a grid segmentation coordinate system, defining the lightweight model as a region to be segmented, and importing the lightweight model into the grid segmentation coordinate system to carry out region division to obtain coordinate values of a plurality of sub-segmentation regions;

determining the vertex position in each sub-divided area based on the coordinate values of the plurality of sub-divided areas, carrying out hierarchical detail division on the lightweight model through an LOD-resolution algorithm, calculating error measurement of each vertex position, selecting secondary vertices in each sub-divided area according to the error measurement to be combined, and carrying out multiple iterations until the preset LOD level is met, so as to obtain LOD geometric data of the lightweight model;

obtaining initial operation demand information of a user, analyzing the initial operation demand information of the user to determine required LOD grade information, constructing a model database, storing LOD geometric data of the lightweight model into the model database, and calling LOD geometric data of the same grade in the model database based on the required LOD grade information to obtain a minimum loading model;

Acquiring real-time operation information of a user, determining browsing view angle variation of the user according to the real-time operation information of the user, and asynchronously sending a request to a server based on the browsing view angle variation of the user and the required LOD grade information to obtain LOD geometric data of the same grade;

and when the minimum loading model receives the response of the LOD geometric data of the same level, obtaining the actual response time length, judging whether the actual response time length is smaller than the preset response time length, and if so, loading the streaming asynchronous system to obtain a loading result.

It should be noted that LOD is a technology for optimizing model rendering and performance, which can implement streaming loading of models, and is particularly suitable for Web model services, and a model loaded for the first time based on LOD technology may only include geometric data with a lower level of detail, so that model files are smaller, and loading speed is also faster. The method comprises the steps of carrying out streaming loading on the basis of a lightweight model, improving the precision of hierarchical detail division, dividing the lightweight model by a grid division coordinate system to determine the position of a vertex in each sub-divided area, further dividing the hierarchical detail level by using an LOD-resolution algorithm, wherein the LOD-resolution algorithm is a geometric simplification algorithm and is used for generating low-detail level data from model geometric data with high detail level, calculating the importance of an error measurement evaluation vertex of each vertex position for maintaining model detail, realizing detail level management in model streaming loading and rendering, obtaining LOD geometric data of the lightweight model, and carrying out calculation and analysis on LOD levels of the same level in a model database according to LOD level information input by a user demand. The method can realize the streaming loading of the model through the LOD mechanism of the Web model service, thereby realizing a loading process with better experience and smooth model operation.

Further, in a preferred embodiment of the present invention, the obtaining occlusion bounding box information generates an occlusion test result by performing a combined calculation on the occlusion bounding box information and a model view projection matrix, and performs analysis and rejection based on the occlusion test result to obtain an occlusion rejection result, as shown in fig. 3, specifically including the following steps:

s302: obtaining a browsing view angle range of a current user, visually determining objects in the browsing view angle range through a camera view cone to obtain an object set, and detecting a shelter potentially shielding the LOD geometric data in the object set based on a hierarchical bounding box tree algorithm to obtain shelter bounding box information;

s304: constructing a model view projection matrix, obtaining a two-dimensional bounding box under projection by combining and calculating the information of the shelter bounding box with the model view projection matrix, and calculating the shelter relation of the two-dimensional bounding box based on an HZB algorithm to obtain a specific shelter relation of the bounding box;

s306: transmitting the information of the shielding object bounding box into a computer shader, selecting an optimal Mic level in the computer shader, executing shielding test on the shielding relation of the two-dimensional bounding box to obtain a shielding pixel value, judging whether the shielding pixel value is smaller than a preset pixel value range, and if so, marking the two-dimensional bounding box as a reject object to generate a shielding test result;

S308: and extracting an object to be removed based on the shielding test result, removing the object to be removed, and continuously rendering the rest objects to obtain a shielding removal result.

It should be noted that occlusion culling is a technique that calculates the spatial positional relationship of objects within a scene to determine which objects are occluded by other objects without display and rendering. In model stream loading and rendering, occlusion rejection is based on the value of each geometrical bounding box in a scene and the visual cone of a camera, and the spatial position relation calculation is carried out, so that the occlusion relation of each object in the scene is determined, whether the objects are loaded or not is carried out, and the display is divided, so that the performance and the efficiency are improved. Measuring objects with potential shielding LOD geometric data in an object set in a current user browsing view angle range through a Hierarchical bounding box tree algorithm to obtain shielding object bounding box information, wherein the shielding object bounding box information comprises information such as geometric shapes, spheres and bounding boxes, multiplying a model view projection matrix by the shielding object bounding box information to calculate a two-dimensional bounding box, calculating the shielding relation of the two-dimensional bounding box based on an HZB algorithm, dividing a depth buffer into a plurality of mips, recording the furthest depth value in four surrounding points in each level, and selecting proper mips for shielding relation calculation and shielding test in a shielding rejection process, so that the calculation efficiency is improved; after the HZB is generated, bounding box information of the object to be removed can be transmitted into a computer shader for calculation, and the most suitable Mich level is selected for shielding test during calculation to obtain a shielding test result, and a shielding object is removed based on the shielding test result to obtain a shielding removal result. The method can determine which objects are blocked by other objects without display and rendering for elimination, improves performance and efficiency, and achieves better user experience.

Further, in a preferred embodiment of the present invention, the method for obtaining the creation requirement information of the user and drawing the reference method according to the creation requirement information of the user obtains the graphic data reference method, and establishes a data set containing path data, and performs traversal screening on the path data in the data set to generate a screening result, which specifically includes the following steps:

acquiring creation demand information of a user, constructing a model object to be drawn and a plurality of instance objects according to the creation demand information, setting the plurality of instance objects as reference relations and pointing to the model object to be drawn, and rendering the model object to be drawn in a redirection relation to obtain a graphic data reference method;

presetting corresponding condition attributes according to the creation demand information of the user, and drawing paths according to the corresponding condition attributes to obtain standard path data;

establishing a data set containing path data, starting to draw a path, traversing the path data in the data set containing the path data, screening the data set containing the path data based on the standard path data, and judging whether the path data in the data set accords with the standard path data;

If yes, marking the path data as path data to be drawn, and if not, skipping drawing of the path data and generating a screening result.

It should be noted that, by using the graphic data reference, the same drawing data can be reused, so that the data volume is greatly reduced, and especially, the model scene is created by means of copying, array and the like; the method comprises the steps of obtaining creation demand information of a user, creating a model object and an instance object, realizing that different drawing nodes can refer to the same drawing node containing graph geometry by using a node redirection technology, realizing multi-reference drawing of one piece of geometric data, obtaining a graph data reference method, and realizing sharing and reuse of data; by the drawing path screening technology, the same data can be drawn in different modes, and the drawing data of a model scene can be greatly reduced; when the path is drawn, the path can be screened by setting condition attributes on the path, wherein the corresponding condition attributes comprise label, category, attribute and the like, and the selection of the drawn path can be selectively realized by matching the condition attributes on the path; and establishing a data set containing path data, traversing the path data in the data set, screening and judging whether the path data in the data set accords with the standard path data, if so, indicating that the screened path data reaches the drawing expectation, marking the path data as the path data to be drawn, and if not, indicating that the screened path data does not reach the drawing expectation, and therefore, skipping the drawing of the path data, and generating a screening result. The method can meet the large model drawing requirement of a three-dimensional scene by establishing a graphic data reference method and drawing path screening, and realize the assembly type management of model display and the display management of a project-level general BIM model.

In addition, the image and data organization, fusion loading and display method further comprises the following steps:

acquiring detail characteristic information of a BIM model, dividing the detail characteristic information into a plurality of detail levels, and endowing the detail levels with different levels according to detail requirements to obtain a plurality of detail levels;

acquiring the position of an observation point in a BIM model and the central position of a model bounding box, constructing a Euclidean distance matrix, and importing the position of the observation point and the central position of the model bounding box into the Euclidean distance matrix for calculation to obtain the viewpoint distance;

defining two different detail level adaptation standards for the viewpoint distance based on a linear interpolation algorithm, calculating the proportion between the two different detail level allocation standards to obtain an interpolation proportion value, and performing linear interpolation calculation on the detail levels according to the interpolation proportion value to obtain a designated detail level of the viewpoint distance;

rendering the appointed detail level of the viewpoint distance through a model mesh replacement to obtain a rendered BIM model, extracting the current viewpoint distance according to the rendered BIM model, and calculating the difference value between the current viewpoint distance and the viewpoint distance to obtain a deviation value;

And judging whether the deviation value is larger than a preset deviation value, if so, correcting and re-rendering the replacement model grid, and if so, dynamically updating the detail level of the viewpoint distance to obtain an LOD control result.

It should be noted that, when a scene contains a large number of models with rich details or a large-scale complex scene, no LOD control method may cause performance problems in rendering. The high-resolution model requires more calculation and drawing resources, which may cause a decrease in frame rate and affect the smoothness of real-time rendering; meanwhile, more memory resources are occupied, and redundant details in a large-scale scene can cause waste of the memory resources and affect the running efficiency of the application program. According to the method, the drawing efficiency of the large model scene can be greatly improved through an LOD control technology, so that the three-dimensional rendering performance is optimized, the computing and drawing resource cost is reduced, the real-time rendering smoothness is kept, the resource utilization is more efficient, the data storage and transmission requirements are reduced, the resource is saved, the visual effect quality is ensured, and the user experience is improved.

The second aspect of the present invention provides an image and data organization, fusion loading and displaying system, which includes a memory 41 and a processor 42, wherein the memory 41 stores an image and data organization, fusion loading and displaying method program, and when the image and data organization, fusion loading and displaying method program is executed by the processor 42, the following steps are implemented, as shown in fig. 4:

Obtaining a plurality of vector graphic files of a BIM model, analyzing contents according to the plurality of vector graphic files to obtain geometric primitive information and drawing attribute information, and embedding a drawing segment frame of a tree structure into the geometric primitive information and the drawing attribute information to obtain a graphic database of the BIM model;

stripping non-geometric data and geometric data of the BIM model through BIM model software and a graphic database of the BIM model, and carrying out light weight calculation on the geometric data based on a QEM algorithm to obtain a light weight model;

acquiring LOD geometric data and required LOD grade information of a lightweight model, calling the LOD geometric data of the same grade in a model database based on the LOD geometric data and the required LOD grade information to obtain a minimum loading model, and verifying when the minimum loading model receives the response of the LOD geometric data of the same grade to obtain a loading result;

acquiring shelter bounding box information, generating shelter test results by combining and calculating the shelter bounding box information with a model view projection matrix, and analyzing and removing the shelter test results to obtain shelter removal results;

Acquiring creation demand information of a user, drawing a reference method according to the creation demand information of the user to obtain a graph data reference method, simultaneously establishing a data set containing path data, traversing and screening the path data in the data set, and generating a screening result.

Further, in a preferred embodiment of the present invention, the method for obtaining the creation requirement information of the user and drawing the reference method according to the creation requirement information of the user obtains the graphic data reference method, and establishes a data set containing path data, and performs traversal screening on the path data in the data set to generate a screening result, which specifically includes the following steps:

acquiring creation demand information of a user, constructing a model object to be drawn and a plurality of instance objects according to the creation demand information, setting the plurality of instance objects as reference relations and pointing to the model object to be drawn, and rendering the model object to be drawn in a redirection relation to obtain a graphic data reference method;

presetting corresponding condition attributes according to the creation demand information of the user, and drawing paths according to the corresponding condition attributes to obtain standard path data;

Establishing a data set containing path data, starting to draw a path, traversing the path data in the data set containing the path data, screening the data set containing the path data based on the standard path data, and judging whether the path data in the data set accords with the standard path data;

if yes, marking the path data as path data to be drawn, and if not, skipping drawing of the path data and generating a screening result.

The foregoing is merely illustrative embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think about variations or substitutions within the technical scope of the present invention, and the invention should be covered. Therefore, the protection scope of the invention is subject to the protection scope of the claims.

Claims (8)

1. The image and data organizing, fusion loading and displaying method is characterized by comprising the following steps:

obtaining a plurality of vector graphic files of a BIM model, analyzing contents according to the plurality of vector graphic files to obtain geometric primitive information and drawing attribute information, and embedding a drawing segment frame of a tree structure into the geometric primitive information and the drawing attribute information to obtain a graphic database of the BIM model;

Stripping non-geometric data and geometric data of the BIM model through BIM model software and a graphic database of the BIM model, and carrying out light weight calculation on the geometric data based on a QEM algorithm to obtain a light weight model;

acquiring LOD geometric data and required LOD grade information of a lightweight model, calling the LOD geometric data of the same grade in a model database based on the LOD geometric data and the required LOD grade information to obtain a minimum loading model, and verifying when the minimum loading model receives the response of the LOD geometric data of the same grade to obtain a loading result;

acquiring shelter bounding box information, generating shelter test results by combining and calculating the shelter bounding box information with a model view projection matrix, and analyzing and removing the shelter test results to obtain shelter removal results;

acquiring creation demand information of a user, drawing a reference method according to the creation demand information of the user to obtain a graph data reference method, simultaneously establishing a data set containing path data, traversing and screening the path data in the data set, and generating a screening result.

2. The method for organizing, fusing, loading and displaying images and data according to claim 1, wherein the steps of obtaining a plurality of vector graphics files of a BIM model, analyzing contents according to the plurality of vector graphics files to obtain geometric primitive information and drawing attribute information, embedding the geometric primitive information and the drawing attribute information into a drawing segment frame constructing a tree structure to obtain a graphic database of the BIM model comprise the following steps:

obtaining a plurality of vector graphic files of a BIM model, simultaneously obtaining file format types corresponding to the plurality of vector graphic files, calculating the duty quantity of the file format types to obtain a file format duty value, and carrying out format conversion on the vector graphic files of the BIM model by taking the highest duty value as a reference to obtain a plurality of vector graphic files with uniform formats;

analyzing the vector graphic files with the uniform formats to obtain file streams, selecting corresponding analysis tools according to the file streams to read file contents to obtain preview contents of the vector graphic files, extracting file format specifications based on the vector graphic files with the uniform formats, and analyzing the preview contents through the file format specifications to obtain geometric primitive information and drawing attribute information;

Constructing and rendering the geometric primitive information and the drawing attribute information through an OpenGL graphic display engine to obtain visualized data of a plurality of vector graphics;

constructing a drawing segment frame, defining different root nodes, branch nodes and leaf nodes in the drawing segment frame to obtain a drawing segment frame of a tree structure, importing the visualized data of the plurality of vector graphics into the drawing segment frame of the tree structure, and classifying and embedding the visualized data according to the requirements of the root nodes, the branch nodes and the leaf nodes to obtain a graphic database of a BIM model.

3. The method for organizing, fusing, loading and displaying images and data according to claim 1, wherein the non-geometric data and geometric data of the BIM model are stripped out through the BIM model software and the graphic database of the BIM model, the geometric data is subjected to lightweight calculation based on a QEM algorithm, and a lightweight model is obtained, and the method specifically comprises the following steps:

acquiring component object information of a BIM model, dividing the component object information into a plurality of sub-information segments, defining target data attributes, searching the sub-information segments based on a graphic database of the BIM model until search results meet the target data attributes, and determining non-geometric data of a plurality of BIM models;

Performing table summarization and export on a plurality of non-geometric data through an API provided by BIM model software to obtain a non-geometric data table of a BIM model, analyzing a stripping script corresponding to data compiling in the non-geometric data table, importing the non-geometric data table of the BIM model into the stripping script for stripping to obtain geometric data of the BIM model;

calculating the association degree between the non-geometric data and the geometric data based on a covariance algorithm, defining the non-geometric data and the geometric data as association variables, judging the distribution of covariance between the association variables in a value range from-1 to obtain the association degree, judging whether the association degree is larger than a preset association degree, and if so, carrying out light weight processing on the geometric data;

and carrying out light weight calculation on the geometric data based on a QEM algorithm, determining vertexes to be simplified in the geometric data, calculating quadric surface errors between the vertexes to be simplified and adjacent points, surfaces and lines, minimizing the quadric surface errors, screening optimal vertexes, and merging simultaneously to obtain a light weight model.

4. The method for organizing, fusing, loading and displaying images and data according to claim 1, wherein the obtaining of LOD geometric data and required LOD grade information of a lightweight model, the retrieving of LOD geometric data of the same grade in a model database based on the LOD geometric data and the required LOD grade information, obtaining a minimum loading model, and the verification of the response time of the minimum loading model to receive LOD geometric data of the same grade is performed, and the method specifically comprises the following steps:

Constructing a grid segmentation coordinate system, defining the lightweight model as a region to be segmented, and importing the lightweight model into the grid segmentation coordinate system to carry out region division to obtain coordinate values of a plurality of sub-segmentation regions;

determining the vertex position in each sub-divided area based on the coordinate values of the plurality of sub-divided areas, carrying out hierarchical detail division on the lightweight model through an LOD-resolution algorithm, calculating error measurement of each vertex position, selecting secondary vertices in each sub-divided area according to the error measurement to be combined, and carrying out multiple iterations until the preset LOD level is met, so as to obtain LOD geometric data of the lightweight model;

obtaining initial operation demand information of a user, analyzing the initial operation demand information of the user to determine required LOD grade information, constructing a model database, storing LOD geometric data of the lightweight model into the model database, and calling LOD geometric data of the same grade in the model database based on the required LOD grade information to obtain a minimum loading model;

acquiring real-time operation information of a user, determining browsing view angle variation of the user according to the real-time operation information of the user, and asynchronously sending a request to a server based on the browsing view angle variation of the user and the required LOD grade information to obtain LOD geometric data of the same grade;

And when the minimum loading model receives the response of the LOD geometric data of the same level, obtaining the actual response time length, judging whether the actual response time length is smaller than the preset response time length, and if so, loading the streaming asynchronous system to obtain a loading result.

5. The method for organizing, fusing, loading and displaying images and data according to claim 1, wherein the method for acquiring occlusion bounding box information, generating an occlusion test result by combining and calculating the occlusion bounding box information with a model view projection matrix, analyzing and rejecting based on the occlusion test result to obtain an occlusion reject result, comprises the following steps:

obtaining a browsing view angle range of a current user, visually determining objects in the browsing view angle range through a camera view cone to obtain an object set, and detecting a shelter potentially shielding the LOD geometric data in the object set based on a hierarchical bounding box tree algorithm to obtain shelter bounding box information;

constructing a model view projection matrix, obtaining a two-dimensional bounding box under projection by combining and calculating the information of the shelter bounding box with the model view projection matrix, and calculating the shelter relation of the two-dimensional bounding box based on an HZB algorithm to obtain a specific shelter relation of the bounding box;

Transmitting the information of the shielding object bounding box into a computer shader, selecting an optimal Mic level in the computer shader, executing shielding test on the shielding relation of the two-dimensional bounding box to obtain a shielding pixel value, judging whether the shielding pixel value is smaller than a preset pixel value range, and if so, marking the two-dimensional bounding box as a reject object to generate a shielding test result;

and extracting an object to be removed based on the shielding test result, removing the object to be removed, and continuously rendering the rest objects to obtain a shielding removal result.

6. The method for organizing, fusing, loading and displaying images and data according to claim 1, wherein the method for acquiring the creation requirement information of the user, drawing the reference method according to the creation requirement information of the user to obtain the graphic data reference method, simultaneously establishing a data set containing path data, and performing traversal screening on the path data in the data set to generate a screening result, specifically comprising the following steps:

acquiring creation demand information of a user, constructing a model object to be drawn and a plurality of instance objects according to the creation demand information, setting the plurality of instance objects as reference relations and pointing to the model object to be drawn, and rendering the model object to be drawn in a redirection relation to obtain a graphic data reference method;

Presetting corresponding condition attributes according to the creation demand information of the user, and drawing paths according to the corresponding condition attributes to obtain standard path data;

establishing a data set containing path data, starting to draw a path, traversing the path data in the data set containing the path data, screening the data set containing the path data based on the standard path data, and judging whether the path data in the data set accords with the standard path data;

if yes, marking the path data as path data to be drawn, and if not, skipping drawing of the path data and generating a screening result.

7. The image and data organization, fusion loading and display system is characterized by comprising a memory and a processor, wherein the memory stores an image and data organization, fusion loading and display method program, and the image and data organization, fusion loading and display method program realizes the following steps when being executed by the processor:

obtaining a plurality of vector graphic files of a BIM model, analyzing contents according to the plurality of vector graphic files to obtain geometric primitive information and drawing attribute information, and embedding a drawing segment frame of a tree structure into the geometric primitive information and the drawing attribute information to obtain a graphic database of the BIM model;

Stripping non-geometric data and geometric data of the BIM model through BIM model software and a graphic database of the BIM model, and carrying out light weight calculation on the geometric data based on a QEM algorithm to obtain a light weight model;

acquiring LOD geometric data and required LOD grade information of a lightweight model, calling the LOD geometric data of the same grade in a model database based on the LOD geometric data and the required LOD grade information to obtain a minimum loading model, and verifying when the minimum loading model receives the response of the LOD geometric data of the same grade to obtain a loading result;

acquiring shelter bounding box information, generating shelter test results by combining and calculating the shelter bounding box information with a model view projection matrix, and analyzing and removing the shelter test results to obtain shelter removal results;

acquiring creation demand information of a user, drawing a reference method according to the creation demand information of the user to obtain a graph data reference method, simultaneously establishing a data set containing path data, traversing and screening the path data in the data set, and generating a screening result.

8. The system for organizing, fusing, loading and displaying images and data according to claim 7, wherein the method for acquiring the creation requirement information of the user, drawing the reference method according to the creation requirement information of the user, obtaining the graphic data reference method, simultaneously establishing a data set containing path data, and performing traversal screening on the path data in the data set, generating a screening result, comprises the following steps:

acquiring creation demand information of a user, constructing a model object to be drawn and a plurality of instance objects according to the creation demand information, setting the plurality of instance objects as reference relations and pointing to the model object to be drawn, and rendering the model object to be drawn in a redirection relation to obtain a graphic data reference method;

presetting corresponding condition attributes according to the creation demand information of the user, and drawing paths according to the corresponding condition attributes to obtain standard path data;

establishing a data set containing path data, starting to draw a path, traversing the path data in the data set containing the path data, screening the data set containing the path data based on the standard path data, and judging whether the path data in the data set accords with the standard path data;

If yes, marking the path data as path data to be drawn, and if not, skipping drawing of the path data and generating a screening result.