CN115393240A - GIS and BIM fusion method and device, electronic equipment and readable storage medium - Google Patents
GIS and BIM fusion method and device, electronic equipment and readable storage medium Download PDFInfo
- Publication number
- CN115393240A CN115393240A CN202211066935.0A CN202211066935A CN115393240A CN 115393240 A CN115393240 A CN 115393240A CN 202211066935 A CN202211066935 A CN 202211066935A CN 115393240 A CN115393240 A CN 115393240A
- Authority
- CN
- China
- Prior art keywords
- bim
- point cloud
- gis
- file
- model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003860 storage Methods 0.000 title claims abstract description 17
- 238000007500 overflow downdraw method Methods 0.000 title abstract description 11
- 238000006243 chemical reaction Methods 0.000 claims abstract description 42
- 238000000034 method Methods 0.000 claims abstract description 34
- 230000004927 fusion Effects 0.000 claims abstract description 28
- 238000007906 compression Methods 0.000 claims description 32
- 230000006835 compression Effects 0.000 claims description 32
- 230000007613 environmental effect Effects 0.000 claims description 21
- 238000004422 calculation algorithm Methods 0.000 claims description 9
- 238000007781 pre-processing Methods 0.000 claims description 9
- 238000000638 solvent extraction Methods 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 claims description 7
- 230000003247 decreasing effect Effects 0.000 claims description 6
- 230000002194 synthesizing effect Effects 0.000 claims description 5
- 230000000903 blocking effect Effects 0.000 claims description 2
- 238000004590 computer program Methods 0.000 claims description 2
- 239000000463 material Substances 0.000 description 8
- 238000012545 processing Methods 0.000 description 8
- 238000010276 construction Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000001556 precipitation Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000005034 decoration Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000007499 fusion processing Methods 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000001960 triggered effect Effects 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- 241000509579 Draco Species 0.000 description 1
- 229910000831 Steel Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005266 casting Methods 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000013079 data visualisation Methods 0.000 description 1
- 238000009795 derivation Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 235000019800 disodium phosphate Nutrition 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000005429 filling process Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Graphics (AREA)
- Geometry (AREA)
- Software Systems (AREA)
- Multimedia (AREA)
- Processing Or Creating Images (AREA)
Abstract
The application relates to a GIS and BIM fusion method, a device, electronic equipment and a readable storage medium, and relates to the technical field of BIM. The method comprises the following steps: the BIM and GIS point cloud files are obtained, the BIM is compressed and subjected to format conversion to obtain BIM tiles, the GIS point cloud files are compressed and subjected to format conversion to obtain point cloud tile files, and after the BIM tiles and the point cloud tile files are obtained, the BIM tiles and the point cloud tile files are fused. The GIS and BIM fusion method, the device, the electronic equipment and the readable storage medium can reduce the data volume of the BIM model and the GIS and improve the fusion efficiency of the GIS and the BIM.
Description
Technical Field
The present application relates to the field of BIM technologies, and in particular, to a method and an apparatus for fusing a GIS and a BIM, an electronic device, and a readable storage medium.
Background
With the development of science and technology, building Information Modeling (BIM) and Geographic Information System (GIS) are more and more widely applied, the GIS and the BIM belong to a relationship of mutual complementation and mutual perfection, and the current GIS and BIM fusion method can be roughly divided into 3 modes of data format conversion, data standard expansion and ontology, wherein the data format conversion is the current mainstream GIS and BIM fusion mode.
The inventor finds out in the research process that: when BIM and GIS are fused, due to the fact that the BIM model and the GIS model are large, synchronous loading time is too long, the problems of system breakdown and the like can be caused during synchronization, the fusion efficiency of the BIM and the GIS is low, and therefore how to improve the fusion efficiency of the BIM and the GIS is more and more important.
Disclosure of Invention
The application aims to provide a GIS and BIM fusion method, a GIS and BIM fusion device, electronic equipment and a readable storage medium, which are used for solving at least one problem.
The above object of the present invention is achieved by the following technical solutions:
in a first aspect, a method for fusing GIS and BIM is provided, where the method includes:
acquiring a BIM (building information model) and a GIS (geographic information system) point cloud file;
compressing and format converting the BIM model to obtain a BIM tile, and compressing and format converting the GIS point cloud file to obtain a point cloud tile file;
and fusing the BIM tile and the point cloud tile file.
In a possible implementation manner, compressing and format converting the BIM model to obtain a BIM tile includes:
compressing the BIM model to obtain a BIM scene;
preprocessing the BIM scene;
and carrying out format conversion and compression on the preprocessed BIM scene to obtain a BIM tile.
In another possible implementation manner, the BIM model includes: a BIM attribute;
compressing the BIM model to obtain a BIM scene, wherein the BIM scene comprises the following steps:
extracting a BIM component in the BIM model, and analyzing the BIM component to obtain the data volume of the BIM component;
based on the BIM component data volume, deleting the BIM attribute;
synthesizing the BIM component based on the deleted BIM attribute to obtain a BIM scene;
wherein, the preprocessing the BIM scene comprises:
interpolating the BIM scene based on a preset geometric error decreasing coefficient to obtain a BIM sub-scene space hierarchical structure;
compressing the BIM properties at different levels based on geometric errors at each level in the BIM sub-scene space hierarchy.
In another possible implementation manner, the performing format conversion and compression on the preprocessed BIM scene to obtain a BIM tile includes:
converting the BIM scene into BIM data based on GLTF specification of a graphic language transmission format;
compress BIM data based on compression algorithm to BIM data after based on the compression, through element table featureTable and batch table BatchTable, output single batch three-dimensional model B3DM file, with one B3DM file is as a BIM tile, B3DM file includes: the gltf format model data and global data, the global data comprising: featureTable and BatchTable.
In another possible implementation manner, compressing and format converting the GIS point cloud file to obtain a point cloud tile file includes:
acquiring point cloud data based on the GIS point cloud file, wherein the point cloud data comprises: number of points and spatial location;
if the number of the points is larger than a preset threshold value, dividing the GIS point cloud file into a plurality of point cloud subfiles;
based on the point cloud data, the earth is classified and partitioned according to a pyramid structure to obtain an earth pyramid structure;
traversing the points of the GIS point cloud file, and filling the points of the GIS point cloud file into the earth pyramid structure based on the spatial position to obtain a point cloud pyramid structure;
and converting the GIS point cloud file into a point cloud tile file based on a preset standard by traversing the point cloud pyramid structure.
In another possible implementation, based on the point cloud data, the earth is ranked and partitioned according to a pyramid structure, including:
calculating the average distance of the point cloud data to obtain the average distance of the point cloud;
and grading and partitioning the geospatial space in a preset splitting mode based on the point cloud average distance and the error of each level of the pyramid structure, wherein the error is determined by the length corresponding to each level and the minimum grid number in the block.
In another possible implementation manner, fusing the BIM tile and the point cloud tile file, and then further including:
acquiring specific BIM model information, wherein the specific BIM model information comprises: a specific BIM model location and a specific BIM model attribute;
determining current environment information of the specific BIM model based on the position of the specific BIM model, acquiring historical environment information of the specific BIM model, and determining future environment information of the specific BIM model through an environment prediction model based on the current environment information and the historical environment information, wherein the future environment information is environment information of preset future time;
calculating a specific BIM model impact value based on the future environmental information and the specific BIM model attribute.
In a second aspect, a GIS and BIM fusion apparatus is provided, the apparatus comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a Building Information Model (BIM) and a Geographic Information System (GIS) point cloud file;
the compressing and format converting module is used for compressing and format converting the BIM model to obtain a BIM tile and compressing and format converting the GIS point cloud file to obtain a point cloud tile file;
and the fusion module is used for fusing the BIM tile and the point cloud tile file.
In a possible implementation manner, when the compressing and format converting module compresses and converts the BIM model to obtain the BIM tile, the compressing and format converting module is specifically configured to:
compressing the BIM model to obtain a BIM scene;
preprocessing the BIM scene;
and carrying out format conversion and compression on the preprocessed BIM scene to obtain a BIM tile.
In another possible implementation manner, the BIM model further includes: a BIM attribute;
the compressing and format converting module is specifically configured to, when compressing the BIM model to obtain a BIM scene:
extracting a BIM component in the BIM model, and analyzing the BIM component to obtain BIM component data volume;
based on the BIM component data volume, deleting the BIM attribute;
synthesizing the BIM component based on the deleted BIM attribute to obtain a BIM scene;
wherein, when the compressing and format converting module preprocesses the BIM scene, it is specifically configured to:
interpolating the BIM scene based on a preset geometric error decreasing coefficient to obtain a BIM sub-scene space hierarchical structure;
compressing the BIM attributes at different levels based on geometric errors at each level in the BIM sub-scene space hierarchy.
In another possible implementation manner, the compression and format conversion module, when performing format conversion and compression on the preprocessed BIM scene to obtain a BIM tile, is specifically configured to:
converting the BIM scene into BIM data based on GLTF specification of a graphic language transmission format;
compress BIM data based on compression algorithm to BIM data after based on the compression, through element table featureTable and batch table BatchTable, output single batch three-dimensional model B3DM file, with one B3DM file is as a BIM tile, B3DM file includes: the gltf format model data and global data, the global data including: featureTable and BatchTable.
In another possible implementation manner, the compressing and format converting module is specifically configured to, when compressing and format converting the GIS point cloud file to obtain a point cloud tile file:
acquiring point cloud data based on the GIS point cloud file, wherein the point cloud data comprises: number of points and spatial location;
if the number of the points is larger than a preset threshold value, the GIS point cloud file is divided into a plurality of point cloud subfiles;
based on the point cloud data, grading and partitioning the earth according to a pyramid structure to obtain an earth pyramid structure;
traversing the points of the GIS point cloud file, and filling the points of the GIS point cloud file into the earth pyramid structure based on the spatial position to obtain a point cloud pyramid structure;
and converting the GIS point cloud file into a point cloud tile file based on a preset specification by traversing the point cloud pyramid structure.
In another possible implementation manner, when the earth is classified and partitioned according to the pyramid structure based on the point cloud data, the compressing and format converting module is specifically configured to:
calculating the average distance of the point cloud data to obtain the average distance of the point cloud;
and grading and partitioning the geospace in a preset splitting mode based on the point cloud average distance and the error of each level of the pyramid structure, wherein the error is determined by the length corresponding to each level and the minimum grid number in the block.
In another possible implementation manner, the apparatus further includes: a second obtaining module, a determining module, and a calculating module, wherein,
the second obtaining module is configured to obtain specific BIM model information, where the specific BIM model information includes: a specific BIM model location and a specific BIM model attribute;
the determining module is used for determining the current environment information of the specific BIM model based on the position information of the specific BIM model, acquiring the historical environment information of the specific BIM model, and determining the future environment information of the specific BIM model through an environment prediction model based on the current environment information and the historical environment information, wherein the future environment information is the environment information of preset future time;
and the calculation module is used for calculating a specific BIM model influence value based on the future environment information and the specific BIM model attribute.
In a third aspect, an electronic device is provided, which includes:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more applications configured to: and executing the operation corresponding to the GIS and BIM fusion method shown in any possible implementation manner of the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, in which at least one instruction, at least one program, a set of codes, or a set of instructions is stored, and loaded and executed by a processor to implement the method for GIS and BIM fusion as shown in any possible implementation manner in the first aspect.
In summary, the present application includes at least one of the following beneficial technical effects:
compared with the related art, in the application, the BIM and the point cloud file of the building information model are obtained, the BIM and the point cloud file of the GIS are compressed and subjected to format conversion respectively to obtain a BIM tile and a point cloud tile file, the BIM tile and the point cloud tile file are fused, the BIM model and the point cloud file of the GIS are compressed respectively, the BIM model data volume and the GIS point cloud file data volume are reduced, the time for fusing the BIM and the GIS is further reduced, and the efficiency for fusing the BIM and the GIS is further improved.
Drawings
Fig. 1 is a schematic flowchart of a method for fusing a GIS and a BIM provided in an embodiment of the present application.
Fig. 2 is a schematic diagram of a processing flow of a BIM model provided in an embodiment of the present application.
Fig. 3 is a schematic view of a processing flow of a GIS point cloud file provided in the embodiment of the present application.
Fig. 4 is a schematic diagram of the fusion processing of BIM and GIS provided in the embodiment of the present application.
Fig. 5 is a schematic structural diagram of a device for fusing a GIS and a BIM according to an embodiment of the present disclosure.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to the attached drawings.
The present embodiment is only for explaining the present application, and it is not limited to the present application, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present application.
The field of GIS and BIM fusion is very wide, the existing GIS and BIM fusion method can be roughly divided into three modes of data format conversion, data standard expansion and ontology, wherein the data format conversion is the main GIS and BIM fusion mode at present, and mainly integrates industrial basic Class (IFC) data into City geographic Markup Language (City GML).
According to the embodiment of the application, the integrity between data conversion is fully considered, the information fusion of the BIM and the GIS data in the three-dimensional earth scene is realized, the BIM + GIS information fusion method can be further solidified into a tool and deployed into cloud Service in a cloud computing Software Service (SaaS) mode, a user can obtain a cloud data Service address of a model processing result only by submitting the original BIM and the GIS data to a cloud platform, and the cloud data Service address can be used in various business application systems.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship, unless otherwise specified.
The embodiments of the present application will be described in further detail with reference to the drawings.
The embodiment of the application provides a method for fusing a GIS and a BIM, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and a cloud server for providing cloud computing service. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, and the like, but is not limited thereto, the terminal device and the server may be directly or indirectly connected through wired or wireless communication, and the embodiment of the present application is not limited thereto, where as shown in fig. 1, the method may include:
s1, acquiring a BIM (building information modeling) model and a GIS point cloud file.
For the embodiment of the present application, the BIM model is a datamation tool applied to engineering design, construction and management, before the electronic device obtains the BIM model, the BIM model building device may build the BIM model, and the BIM model building device may be a device independent of the electronic device, or may belong to a BIM model building module in the electronic device, for example, a building with better quality of design, construction and maintenance and higher energy efficiency may be built by Revit.
Further, in order to compress and format-convert the BIM model, the electronic device may obtain the BIM model from the BIM model establishing device in real time, may also obtain the BIM model from the BIM model establishing device at specific time intervals, and may also obtain the BIM model from the BIM model establishing device when detecting a BIM model compression and format conversion instruction triggered by a user.
For the embodiment of the application, the GIS is an important spatial system, collects relevant geographic distribution data in the whole or partial earth surface space, and the like, before the electronic device obtains the GIS point cloud file, the data collection device collects images through oblique photography, obtains rich high-resolution textures on the top surface and the side surface of a building and geographic information around the building, transmits the collected images to the data conversion device, and the data conversion device converts the images into the GIS point cloud file.
It should be noted that: the data conversion device may be a device independent from the electronic device, or may be a data conversion module belonging to the electronic device.
Furthermore, in order to compress and format-convert the GIS point cloud file, the electronic device may acquire the GIS point cloud file from the data conversion device in real time, may also acquire the GIS point cloud file from the data conversion device at specific time intervals, and may also acquire the GIS point cloud file from the data conversion device when detecting a GIS point cloud file compression and format conversion instruction triggered by a user.
And S2, compressing and format converting the BIM model to obtain a BIM tile, and compressing and format converting the GIS point cloud file to obtain a point cloud tile file.
For the embodiment of the present application, in order to implement the fusion of the GIS and the BIM, the GIS and the BIM are converted into the same data format, that is, 3D Tiles (Tiles), and the BIM model includes: the method comprises the following steps that a Revit model is developed secondarily (namely, compression and format conversion) to obtain a BIM (building information modeling) model in a 3D (three-dimensional) tile format, namely a BIM tile, and the GIS comprises the following steps: and processing the point cloud data, namely compressing and converting the format of the GIS point cloud file to obtain the GIS point cloud file in a 3D tile format, wherein the 3D files is an open standard and is used for transmitting a massive heterogeneous three-dimensional geospatial data set. 3d files is a data format developed for streaming and rendering three-dimensional geospatial data such as photogrammetry, three-dimensional construction, BIM/CAD, instantiated elements and point clouds. The method is based on a transmission renderable hierarchical data structure and a tile format set, and because the 3D tile does not have a clear data visualization rule, visualization content can be defined according to a preset visualization rule.
And S3, fusing the BIM tile and the point cloud tile file.
For this application embodiment, through the same data of matching BIM tile and point cloud tile file, realize the integration of BIM tile and point cloud tile file, the BIM tile includes: BIM Tile coordinate System, the point cloud tile file includes: the method comprises the steps of correcting a point cloud tile Coordinate System in a BIM tile Coordinate System and a point cloud tile Coordinate System in a point cloud tile file according to a preset Coordinate System standard, converting BIM tiles and point cloud tiles into the same Coordinate System, and obtaining a fused three-dimensional scene by matching the BIM tiles and the point cloud tiles in the same Coordinate range, wherein the preset Coordinate System standard is a standard for converting different Coordinate systems into the same Coordinate System, such as a 2000 national Geodetic Coordinate System (CGCS2000), for example, for a BIM model, the BIM model and buildings around the BIM model, such as rivers and the like, are fused.
The embodiment of the application provides a BIM and GIS fusion method, compared with the related art, in the embodiment of the application, by obtaining a BIM model and a GIS point cloud file of a building information model, the BIM model and the GIS point cloud file are compressed and format converted respectively to obtain a BIM tile and a point cloud tile file, the BIM tile and the point cloud tile file are fused, the BIM model and the GIS point cloud file are compressed respectively, the BIM model data volume and the GIS point cloud file data volume are reduced, the BIM and GIS fusion time is further reduced, and further the BIM and GIS fusion efficiency is improved.
A possible implementation manner of the embodiment of the present application is to perform compression and format conversion on the BIM model to obtain the BIM tile, which may specifically include: step S2a1 (not shown), step S2a2 (not shown), and step S2a3 (not shown), wherein,
and S2a1, compressing the BIM model to obtain a BIM scene.
For the embodiment of the application, the BIM model is compressed to reduce the data volume of the BIM model, and the BIM model comprises the following components: BIM component, BIM scene still includes: and the BIM attribute reduces the data volume of the BIM model through compressing the BIM component attribute.
In another possible implementation manner of the embodiment of the present application, the BIM model further includes: a BIM attribute;
in step S2a1, compressing the BIM model to obtain a BIM scene, which may specifically include: step S2a11 (not shown), step S2a12 (not shown), and step S2a13 (not shown), wherein,
and S2a11, extracting the BIM component in the BIM model, and analyzing the BIM component to obtain the data volume of the BIM component.
For the embodiments of the present application, the BIM member includes: the column, the roof beam, board and wall, can be with in the complete extraction of BIM model component to SQLite middle database file, carry out the component analysis in the SQLite database, wherein, SQLite is a section light-weight open source embedded database, realized self-sufficient, no server and zero configuration, mainly used for storing BIM model file, BIM component, BIM material map and BIM attribute etc. through the analysis to the BIM component and the matching of same BIM component, obtain BIM component quantity, when the BIM model is great, can appear the problem of load time overlength, through obtaining BIM component data volume, handle the BIM model.
And S2a12, deleting the BIM attribute based on the BIM component data amount.
For the embodiment of the application, the data volume of the BIM component is compared with the preset threshold value of the data volume, all data in the BIM model is not needed to be used in the fusion process of the BIM and the GIS, and if the data volume of the BIM component is larger than the preset threshold value of the data volume, the attribute of the BIM component is deleted in batches.
And S2a13, synthesizing the BIM components based on the deleted BIM attributes to obtain a BIM scene.
For the embodiment of the application, after data of the BIM component attributes are deleted, the BIM components are synthesized, a spherical scene (namely a BIM model) is constructed in a database, the obtained BIM model is the deleted BIM model (namely the BIM scene), the BIM components in the BIM model are split (namely the BIM components are analyzed), the BIM attributes are deleted, the data volume of the BIM model is reduced, the BIM model is synthesized based on the deleted BIM attributes and the BIM components, the BIM scene is obtained, the data volume of the BIM model is reduced, and the efficiency of GIS and BIM fusion is improved.
And S2a2, preprocessing the BIM scene.
For the embodiment of the application, the BIM scene is preprocessed, so that the data volume of the BIM scene is reduced, and the fusion efficiency of the GIS and the BIM is improved.
In step S2a2, the preprocessing of the BIM scene may specifically include: step S2a21 (not shown in the figure) and step S2a22 (not shown in the figure), wherein,
and S2a21, interpolating the BIM scene based on a preset geometric error decreasing coefficient to obtain a spatial hierarchy of the BIM scene.
For the embodiment of the application, after the BIM scene is obtained, the BIM scenes are grouped according to the preset rule to obtain the BIM sub-scene, wherein the preset rule comprises: the material priority strategy divides the BIM component into at least two sub-scenes according to the excellent degree of the material to obtain the BIM sub-scenes, wherein the BIM sub-scenes comprise: the BIM component and the BIM attribute, respectively calculating the corresponding geometric errors of the BIM sub-scenes through the BIM component attribute, interpolating between the BIM sub-scenes with the maximum geometric errors and the BIM sub-scenes with the minimum geometric errors through presetting a geometric error decreasing coefficient, and constructing a BIM sub-scene space hierarchical structure, wherein the BIM component in the BIM sub-scene space hierarchical structure comprises: a set of geometric triangulation networks, wherein a triangulation network is a mesh of planar control figures made up of a series of consecutive triangles.
Step S2a22 compresses the BIM properties of the different levels based on the geometric error of each level in the BIM sub-scene space hierarchy.
For the embodiment of the present application, the BIM sub-scene space hierarchy structure includes: the BIM component is used for screening, simplifying and combining the attributes of the BIM component according to the geometric error of each level after the BIM sub-scene space hierarchical structure is obtained; screening preset type data, such as material attributes, simplifying redundant data, such as comments of the BIM components, combining similar data, such as the height and the length of the BIM components, and preprocessing the BIM scene to simplify the BIM model attributes and further reduce the data volume of the BIM model.
And S2a3, performing format conversion and compression on the preprocessed BIM scene to obtain a BIM tile.
For the embodiment of the application, in order to fuse the BIM and the GIS, the BIM needs to be converted into a 3D tile format, namely a BIM tile, format conversion and compression are carried out on BIM data to obtain the BIM tile, and format conversion and compression are carried out on the BIM, so that the data volume of the BIM is reduced, and the efficiency of fusing the GIS and the BIM is improved.
In another possible implementation manner of the embodiment of the present application, performing format conversion and compression on the BIM data in step S2a3 to obtain a BIM tile may specifically include: step S2a31 (not shown in the figure) and step S2a32 (not shown in the figure), wherein,
and S2a31, converting the BIM scene into BIM data based on the GLTF specification of the graphic language transmission format.
For the embodiment of the present application, a Graphics Language Transmission Format (GLTF) is a conversion format, and is used for efficiently transmitting and loading a 3D scene and a model, where a BIM scene includes: and the BIM model is used for carrying out format conversion on the BIM attribute based on the GLTF specification, such as data of vertex, batch, normal vector, color, texture, index, material and the like, so as to obtain BIM data.
And S2a32, compressing the filled BIM data based on a compression algorithm, outputting a single batch three-dimensional model B3DM file through a feature table (Ftab) and a batch table BatchTable based on the compressed BIM data, and taking one B3DM file as a BIM tile.
Wherein, the B3DM file comprises: the gltf format model data and the global data, the global data including: featureTable and batchTable.
For the embodiment of the application, after the BIM component data is filled, a compression algorithm is applied to the BIM component data after filling, for example, a Draco compression algorithm is applied to the triangle mesh vertex data, and a CRN compression algorithm is applied to the texture data.
Further, after the BIM component data is compressed, a batch three-dimensional model (Batched 3D mode, B3DM) file is output by combining FeatureTable and BatchTable, the B3DM file serves as a tile, the FeatureTable mainly records global attributes, such as the number of BIM models, the BatchTable mainly records BIM attributes, after the BIM tiles are generated, a tree-shaped space structure of a BIM tile set (at least two BIM tiles) is constructed according to octrees, the BIM tiles are obtained through processing of the BIM models, the BIM models are converted into the BIM models in a 3D tile format before GIS and BIM fusion, and the fusion efficiency of the GIS and the BIM is improved.
For the embodiment of the present application, the processing procedure of the BIM model is as shown in fig. 2, and the BIM model includes: the method comprises the steps of taking a Revit model as an example, carrying out secondary development on the Revit model, namely adding or deleting data to the Revit model, exporting components of the Revit model to a component database (SQLite), analyzing the components, forming a three-dimensional scene, grouping component materials or spaces of the three-dimensional scene by the three-dimensional scene, forming a space hierarchy structure, namely HLOD (hyper text object model) through geometric errors of the three-dimensional scene, forming a GLTF model through triangle network simplification and data combination, converting the three-dimensional Yangtze river space hierarchy structure into BIM (binary) data through a GLTF standard, forming a b3dm file through FeatureTable and BatchTable, and indexing the b3dm file through an octree to generate a tileset json file.
Another possible implementation manner of the embodiment of the application is to compress and format-convert the GIS point cloud file to obtain a point cloud tile file, which may specifically include: step S2b1 (not shown), step S2b2 (not shown), step S2b3 (not shown), step S2b4 (not shown) and step S2b5 (not shown), wherein step S2b1, point cloud data is acquired based on the GIS point cloud file.
Wherein the point cloud data comprises: number of points and spatial location.
For the embodiment of the application, the point cloud file in the LAS format is loaded through the libLAS open source library, the number of points of the whole point cloud data can be obtained through the public head block of the point cloud file, the point cloud file in the LAS format is in a binary point cloud file format, after the point cloud data are obtained, collision detection is carried out on the GIS through a space bounding box algorithm, and whether GIS model components are crossed or not is checked.
And S2b2, if the number of points is larger than a preset point number threshold, dividing the GIS point cloud file into a plurality of point cloud subfiles.
For the embodiment of the application, in order to avoid the problem that the loading time is too long due to too large data volume of the GIS point cloud file, the GIS point cloud file can be divided into a plurality of point cloud subfiles according to the number of points of the point cloud through the quadtree.
And S2b3, grading and blocking the earth according to the pyramid structure based on the point cloud data to obtain the earth pyramid structure.
According to the method and the device, in order to avoid the problem that the GIS and the BIM are fused for a long time due to the fact that a GIS model is too large, the earth is constructed into a pyramid structure, the earth pyramid structure is formed by grading and partitioning the earth structure, and point cloud storage is facilitated.
Another possible implementation manner of the embodiment of the application is to grade and block the earth according to the pyramid structure based on the point cloud data to obtain the earth pyramid structure, and specifically may include: step S2b31 (not shown in the figure) and step S2b32 (not shown in the figure), wherein,
and S2b31, calculating the average distance of the point cloud data to obtain the average distance of the point cloud.
For the embodiment of the application, a sample data set is selected from point cloud data through a preset rule, and the average distance between sample data is calculated, for example, the preset rule can be the number of points, 10 ten thousand points are selected from the point cloud data, the number of neighbors is 6, and the method is based on K t ＝(K 1 +K 2 +K 3 +K 4 +K 5 +K 6 ) (iv) obtaining the average distance of the point clouds, wherein K 1 ～K 6 Distance, K, for characterizing 6 points t For characterizing the point cloud mean distance.
And S2b32, grading and partitioning the earth space in a preset splitting mode based on the point cloud average distance and the error of each grade of the pyramid structure.
Wherein, the error is determined by the length corresponding to each level and the minimum grid number in the block.
For the embodiment of the application, the earth is classified and partitioned according to a pyramid structure, the length of the 0 th level is half of the circumference of the earth, each level corresponds to one error, wherein the error = the length/the minimum grid number in the block, the maximum level of the point cloud data is calculated based on the point cloud average distance, for example, if the point cloud average distance is greater than the error of a certain level i, the maximum level of the point cloud data is i, then each level is partitioned, the earth is partitioned according to the earth zoom level, the partitioning is stopped when the earth is partitioned to the maximum level of the point cloud data, the maximum level of the point cloud is the zoom level of the earth, for example, the zoom level of the earth =0, two blocks are provided, namely east and west hemispheres, when zoom is less than 8, the earth is partitioned according to a quadtree structure according to longitude and latitude, the length of the 0 th level earth is 180 meters, the data structure is a quadtree recursion, when zoom is greater than or equal to 8, the earth is partitioned according to a relative coordinate system according to the circumference of the octree structure, the 0 th level is half of the earth, and the data structure is an octree recursion. 512 grids are set for each block, each grid only falls on 1 point, wherein, the zoom level of the earth is the value of zoom, the corresponding relation between the zoom size of zoom and the zoom scale of the earth can be preset by the system or preset by an engineer, or can be determined by the current selection of a user, for example, zoom of zoom is 0, zoom of the earth is 1, zoom of the earth is 1/30, the relative coordinate system is a coordinate system which uniformly defines the longitude and latitude of the map projection in a country or a region as coordinate axes to determine the positions of all the measurement results of the country or a region on a plane or space, and the earth is graded and partitioned to make the earth structure grading and partitioning speed faster and make the earth precision of different zoom levels higher.
And S2b4, traversing the points of the GIS point cloud file and filling the points of the GIS point cloud file into the earth pyramid structure based on the spatial position to obtain the point cloud pyramid structure.
For the embodiment of the application, the points of the point cloud are filled into the pyramid structure by traversing the points in the subfile of the point cloud, in the filling process, the previous points are updated by the subsequent points in the same grid, in the blocks with zoom less than 8 levels, the point coordinates of the point cloud are converted into longitude and latitude, in the blocks with zoom more than or equal to 8 levels, the point coordinates of the point cloud need to be converted into related coordinates, the related coordinates can be tile coordinates, the point coordinates of the point cloud after conversion are matched with the coordinates in the earth pyramid structure, in the embodiment, the earth is graded and partitioned, and the points of the point cloud are filled into the corresponding pyramid structure blocks.
And S2b5, converting the GIS point cloud file into a point cloud tile file based on a preset specification by traversing the pyramid structure of the point cloud.
For the embodiment of the application, in order to fuse the BIM and the GIS, the GIS point cloud file is converted into the point cloud tile file which is in a 3D tile format, and when the GIS point cloud file is converted into the point cloud tile file, the conversion is carried out through the preset specification.
For the embodiment of the application, the GIS point cloud file is divided into point cloud subfiles through a quadtree in the embodiment of the application, each leaf node in the quadtree corresponds to one point cloud subfile, the point cloud file is converted into a point cloud tile file, and a source library can be opened by using cepimum pnts, and the point cloud subfiles corresponding to the leaf nodes are converted into the point cloud tile files based on the relevant specifications of the nodes in the 3D tile as point clouds.
For the embodiment of the application, for non-leaf nodes, point cloud subfiles of all sub-nodes corresponding to each non-leaf node are merged to obtain a merged point cloud subfile, namely the merged point cloud subfile, the point cloud is divided into a large number of voxels in order to avoid overlarge data volume of the point cloud file, the average value of each voxel is extracted to replace the point cloud contained by each voxel so as to realize point cloud voxel rarefaction and obtain the point cloud subfile corresponding to the non-leaf node, the point cloud file corresponding to the non-leaf node is converted into the point cloud file in a 3D tile format, and the point cloud subfile corresponding to the non-leaf node can be converted into the point cloud tile file by traversing the pyramid structure of the point cloud by using CesiumPNTs.
For the embodiment of the application, the GIS point cloud file is converted into the GIS point cloud file in the tile format, and the GIS point cloud file is compressed (namely point cloud voxel rarefaction), so that the data volume of the GIS point cloud file is reduced, and the fusion efficiency of GIS and BIM is improved.
For the processing of the GIS in the embodiment of the present application, as shown in fig. 3, a las file is obtained through a libLAS library, points of a point cloud are derived based on the las file, a point set is obtained, a sample point (i.e., a sample data set) is selected from the point cloud data, a maximum level of the point cloud data is calculated, the earth is classified and partitioned by using a quadtree and an octree, a pyramid structure of the earth is obtained, points of the point cloud are traversed, the points of the point cloud are filled into the pyramid structure, a pyramid structure of the point cloud is obtained, after the pyramid structure of the point cloud is obtained, a point cloud tile file (i.e., pnts file) and a data file (i.e., json file) are generated by traversing the pyramid structure, one tile file corresponds to one data file, and the generated point cloud tile file and data file are respectively indexed by using the quadtree and/or the octree, so as to obtain a tileset file of the GIS, in the embodiment, the index manner of the point cloud tile file and the data file may be set by a system in advance or an engineer, or the index manner of the point cloud tile file and the data file may be determined by a user in the embodiment, when the index is larger than 8, such as a size of the zoom, when the index is determined in the index according to the index, when the index is smaller than the zoom, when the index is equal to the index of the zoom.
Another possible implementation manner of the embodiment of the application is to fuse the BIM tile and the point cloud tile file, and then may further include: step Sc1 (not shown in the figure), step Sc2 (not shown in the figure), and step Sc3 (not shown in the figure), wherein step Sc1 obtains specific BIM model information, and the specific BIM model information includes: a specific BIM model location and a specific BIM model attribute.
For the embodiment of the present application, during the actual construction process, concrete is required to be poured, and after the concrete is poured, the concrete is affected by the weather, so as to reduce the quality of the building, by acquiring the information of the building required to be poured, i.e. the specific BIM model position and the specific BIM model attribute, for example, the building 1 needs to be poured after one day, and in order to ensure the efficiency of pouring, by building the BIM model of the building, and extracting the BIM model position and the BIM model attribute.
And step Sc2, determining current environment information of the specific BIM based on the position of the specific BIM, acquiring historical environment information of the specific BIM, and determining future environment information of the specific BIM through a prediction model based on the current environment information and the historical environment information.
Wherein, the future environment information is environment information of preset future time.
For the embodiment of the application, based on the position of the specific BIM model, determining current environment information of the specific BIM model, and based on the current environment information of the specific BIM model, obtaining historical environment information of the specific BIM model, training the historical environment information through the original model to obtain an environment prediction model, and based on the current environment information, determining environment information of the specific BIM model at a preset future time by using the environment prediction model, wherein the future environment information includes: future precipitation and future humidity, historical environmental information includes: historical precipitation and historical humidity, and current environmental information includes: current precipitation and current humidity.
For the embodiment of the application, the historical environment information of the specific BIM model can be acquired from a local storage, can also be acquired from other equipment, and can also be acquired from the historical environment information of the specific BIM model input by a user.
The historical environment information may be historical environment information corresponding to a specific BIM model in a previous hour or a previous week corresponding to the current environment information.
And step Sc3, calculating a specific BIM model influence value based on the future environmental information and the specific BIM model attribute.
For the embodiment of the application, through the fusion of the GIS and the BIM, the future environmental information and the analysis of the specific BIM model parameters are analyzed to obtain the specific BIM model influence value, wherein the BIM model component data comprises: the material quality is that the BIM model component data is converted into numerical data through a preset database table, and the future weight corresponding to the future environmental information and the specific BIM model component data and the future environmental information and the specific BIM model component data are passed through P t ＝f 0 *a i +(1-f 0 )*b i Calculating a specific BIM model influence value, wherein P t For characterizing a particular BIM model influence value, a i For characterizing future environmental information, f 0 Preset weights for characterizing future environmental information, b i For characterizing specific BIM model building block data, wherein the preset weights may be selected by the user himself. For example, after the preset time of the future is 10 hours, the future environmental information includes the precipitation amount of 80%, the humidity of 65%, and the material of the BIM model member includes: column, steel, then the specific BIM model impact value is 81.3%, which is not suitable for casting.
For the embodiment of the application, environmental information and BIM model component data have influence on the BIM, and in order to reduce loss in the building process, the influence on the building is determined through the fusion of the BIM and the GIS so as to help a user to quickly determine whether to perform the next building project.
FIG. 4 shows a BIM and GIS fusion method, wherein the BIM model comprises: the BIM model is sliced through a data conversion tool, for example, the Revit model in rvt format is sliced through a Revit plug-in tmp intermediate format, the Bently model in dgn format is sliced through a Bently plug-in tmp intermediate format, the Catia model in CATProduct format is sliced through a Gatia plug-in tmp intermediate format, the Tekia model in combined file format is sliced through derivation of the Tekia model in IFC format, and the IFC model in IFC format is sliced, and the models are sliced to obtain the 3D tile in b3dm format. The GIS data includes: oblique photography (i.e., raw photographs), point cloud data, elevation data, image data, and vector data, the GIS data is Format-converted, for example, oblique photography is converted through ContextCapture in Open Scene Binary Image (OSGB) Format into 3D tiles in b3dm Format, point cloud data is generated through cloud tile in las Format, 3D tiles in pnts Format, elevation data is terrain-sliced through aris in Digital Elevation Model (DEM) Format or Tag Image File Format (Tag Image File Format), and converted into terrain tile Format, the Image data is converted into cgis and Image slices in Portable Network Graphics (Network Graphics) Format through Joint Photographic Experts Group (JPEG) Format or TIFF Format, and converted into Portable Network Graphics (File, network Graphics) Format, the vector data is converted into GIS and Image data through File in GIS Format, and the GIS data is stored in GIS Format, and the GIS data is converted into GIS data in GIS Format through File library, and the GIS data is stored in GIS Format, the GIS data library is data is converted into GIS data in GIS Format, and Image File Format, and the GIS data are stored in GIS Format, and converted into GIS data in pnq database through File Format, and database, and processed through File database, and converted into GIS database, and stored in pnmos data in pnmos Format.
The above embodiment introduces a method for fusing a GIS and a BIM from the perspective of a method flow, and the following embodiment introduces a device for fusing a GIS and a BIM from the perspective of a virtual module or a virtual unit, which is described in detail in the following embodiment.
The embodiment of the present application provides a device for fusing a GIS and a BIM, as shown in fig. 5, the device 50 for fusing a GIS and a BIM specifically may include: the system comprises a first acquisition module 51, a compression and format conversion module 52 and a fusion module 53, wherein the first acquisition module 51 is used for acquiring a building information model BIM and a geographic information system GIS point cloud file;
a compressing and format converting module 52, configured to compress and format convert the BIM model to obtain a BIM tile, and compress and format convert the GIS point cloud file to obtain a point cloud tile file;
and the fusion module 53 is configured to fuse the BIM tile and the point cloud tile file.
In a possible implementation manner of the embodiment of the present application, the compression and format conversion module is specifically configured to, when performing compression and format conversion on the BIM model to obtain the BIM tile:
compressing the BIM model to obtain a BIM scene;
preprocessing a BIM scene;
and carrying out format conversion and compression on the preprocessed BIM scene to obtain the BIM tile.
In another possible implementation manner of the embodiment of the present application, the BIM model further includes: a BIM attribute;
when the compressing and format converting module 52 compresses the BIM model to obtain the BIM scene, it is specifically configured to:
extracting a BIM component in the BIM model, and analyzing the BIM component to obtain the data volume of the BIM component;
based on the data volume of the BIM component, deleting the BIM attribute;
synthesizing the BIM components based on the deleted BIM attributes to obtain a BIM scene;
when the compression and format conversion module preprocesses the BIM scene, the compression and format conversion module is specifically configured to:
interpolating the BIM scene based on a preset geometric error decreasing coefficient to obtain a BIM sub-scene space hierarchical structure;
the different levels of BIM attributes are compressed based on the geometric error of each level in the BIM sub-scene space hierarchy.
In another possible implementation manner of this embodiment, the compressing and format converting module 52 is specifically configured to, when performing format conversion and compression on the preprocessed BIM scene to obtain the BIM tile:
converting the BIM scene into BIM data based on GLTF specification of a graphic language transmission format;
compress BIM data based on compression algorithm to BIM data after based on the compression, through element table featureTable and batch table BatchTable, output single batch three-dimensional model B3DM file, regard a B3DM file as a BIM tile, B3DM file includes: the gltf format model data and the global data, the global data including: f eatureTable and BatchTable.
In another possible implementation manner of the embodiment of the present application, the compressing and format converting module 52 is specifically configured to, when compressing and format converting the GIS point cloud file to obtain a point cloud tile file:
acquiring point cloud data based on a GIS point cloud file, wherein the point cloud data comprises: number of points and spatial location;
if the number of points is larger than a preset threshold value, dividing the GIS point cloud file into a plurality of point cloud subfiles;
based on the point cloud data, the earth is classified and partitioned according to the pyramid structure to obtain an earth pyramid structure;
traversing points of the GIS point cloud file, and filling the points of the GIS point cloud file into a global pyramid structure based on the spatial position to obtain a point cloud pyramid structure;
and converting the GIS point cloud file into a point cloud tile file based on a preset standard by traversing the point cloud pyramid structure.
In another possible implementation manner of the embodiment of the present application, the compressing and format converting module 52 is specifically configured to, when the earth is classified and partitioned according to the pyramid structure based on the point cloud data:
carrying out average distance calculation on the point cloud data to obtain a point cloud average distance;
and grading and partitioning the earth space by a preset splitting mode based on the point cloud average distance and the error of each level of the pyramid structure, wherein the error is determined by the length corresponding to each level and the minimum grid number in the block.
In another possible implementation manner of the embodiment of the present application, the apparatus further includes: a second obtaining module, a determining module, and a calculating module, wherein,
a second obtaining module, configured to obtain specific BIM model information, where the specific BIM model information includes: a specific BIM model location and a specific BIM model attribute;
the determining module is used for determining the current environmental information of the specific BIM model based on the position of the specific BIM model, acquiring the historical environmental information of the specific BIM model, and determining the future environmental information of the specific BIM model through the environmental prediction model based on the current environmental information and the historical environmental information, wherein the future environmental information is the environmental information of the preset future time;
and the calculation module is used for calculating the specific BIM model influence value based on the future environmental information and the specific BIM model attribute.
The embodiment of the application provides a device that BIM and GIS fuse, compare with relevant technology, in this application embodiment, through obtaining building information model BIM model and GIS point cloud file, compress BIM model and GIS point cloud file respectively and format conversion, obtain BIM tile and point cloud tile file, fuse BIM tile and point cloud tile file, through compressing BIM model and GIS point cloud file respectively, BIM model data volume and GIS point cloud file data volume have been reduced, BIM and GIS fuse's time has further been reduced, and then BIM and GIS fuse's efficiency has been improved.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the GIS and BIM fusion apparatus described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
An embodiment of the present application provides an electronic device, as shown in fig. 6, an electronic device 60 shown in fig. 6 includes: a processor 601 and a memory 603. The processor 601 is coupled to the memory 603, such as via a bus 602. Optionally, the electronic device 60 may also include a transceiver 604. It should be noted that the transceiver 604 is not limited to one in practical applications, and the structure of the electronic device 60 is not limited to the embodiment of the present application.
The Processor 601 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or execute the various illustrative logical blocks, modules, and circuits described in connection with the disclosure herein. The processor 601 may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs and microprocessors, and the like.
The Memory 603 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.
The memory 603 is used for storing application program codes for executing the scheme of the application, and the processor 601 controls the execution. The processor 601 is configured to execute application program code stored in the memory 603 to implement the content shown in the foregoing method embodiments.
Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. But also a server, etc. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the use range of the embodiment of the present application.
The present application provides a computer-readable storage medium, on which a computer program is stored, which, when running on a computer, enables the computer to execute the corresponding content in the foregoing method embodiments. Compared with the prior art, in the embodiment of the application, the BIM model and the GIS point cloud file are compressed and format-converted respectively by acquiring the BIM model and the GIS point cloud file to obtain the BIM tile and the point cloud tile file, the BIM tile and the point cloud tile file are fused, and the BIM model and the GIS point cloud file are compressed respectively, so that the data volume of the BIM model and the data volume of the GIS point cloud file are reduced, the time for fusing the BIM and the GIS is further reduced, and the efficiency for fusing the BIM and the GIS is further improved.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless otherwise indicated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of execution is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations should also be regarded as the protection scope of the present application.
Claims (10)
1. A method for fusing GIS and BIM is characterized by comprising the following steps:
acquiring a BIM (building information model) and a GIS (geographic information system) point cloud file of a geographic information system;
compressing and format converting the BIM model to obtain a BIM tile, and compressing and format converting the GIS point cloud file to obtain a point cloud tile file;
and fusing the BIM tile and the point cloud tile file.
2. The method of claim 1, wherein compressing and format converting the BIM model to obtain BIM tiles comprises:
compressing the BIM model to obtain a BIM scene;
preprocessing the BIM scene;
and carrying out format conversion and compression on the preprocessed BIM scene to obtain a BIM tile.
3. The method of claim 2, wherein the BIM model comprises: a BIM attribute;
compressing the BIM model to obtain a BIM scene, including:
extracting a BIM component in the BIM model, and analyzing the BIM component to obtain BIM component data volume;
based on the BIM component data volume, deleting the BIM attribute;
synthesizing the BIM component based on the deleted BIM attribute to obtain a BIM scene;
wherein, the preprocessing the BIM scene comprises:
interpolating the BIM scene based on a preset geometric error decreasing coefficient to obtain a BIM sub-scene space hierarchical structure;
compressing the BIM attributes at different levels based on geometric errors at each level in the BIM sub-scene space hierarchy.
4. The method of claim 2, wherein the format converting and compressing the preprocessed BIM scene to obtain a BIM tile comprises:
converting the BIM scene into BIM data based on GLTF specification of a graphic language transmission format;
compressing the BIM data based on a compression algorithm, outputting a single batch three-dimensional model B3DM file through an element table FeatureTable and a batch table BatchTable based on the compressed BIM data, taking the B3DM file as a BIM tile, wherein the B3DM file comprises: the gltf format model data and global data, the global data including: featureTable and BatchTable.
5. The method of claim 1, wherein compressing and format converting the GIS point cloud file to obtain a point cloud tile file comprises:
acquiring point cloud data based on the GIS point cloud file, wherein the point cloud data comprises: number of points and spatial location;
if the number of the points is larger than a preset threshold value, dividing the GIS point cloud file into a plurality of point cloud subfiles;
based on the point cloud data, the earth is classified and partitioned according to a pyramid structure to obtain an earth pyramid structure;
traversing the points of the GIS point cloud file, and filling the points of the GIS point cloud file into the earth pyramid structure based on the spatial position to obtain a point cloud pyramid structure;
and converting the GIS point cloud file into a point cloud tile file based on a preset standard by traversing the point cloud pyramid structure.
6. The method of claim 5, wherein ranking and blocking the earth according to a pyramid structure based on the point cloud data comprises:
calculating the average distance of the point cloud data to obtain the average distance of the point cloud;
and grading and partitioning the geospace in a preset splitting mode based on the point cloud average distance and the error of each level of the pyramid structure, wherein the error is determined by the length corresponding to each level and the minimum grid number in the block.
7. The method of claim 1, fusing the BIM tiles and the point cloud tile file, followed by further comprising:
acquiring specific BIM model information, wherein the specific BIM model information comprises: a specific BIM model location and a specific BIM model attribute;
determining current environment information of the specific BIM model based on the position of the specific BIM model, acquiring historical environment information of the specific BIM model, and determining future environment information of the specific BIM model through an environment prediction model based on the current environment information and the historical environment information, wherein the future environment information is environment information of preset future time;
calculating a specific BIM model impact value based on the future environmental information and the specific BIM model attribute.
8. A GIS and BIM fusion device, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a Building Information Model (BIM) and a Geographic Information System (GIS) point cloud file;
the compressing and format converting module is used for compressing and format converting the BIM model to obtain a BIM tile and compressing and format converting the GIS point cloud file to obtain a point cloud tile file;
and the fusion module is used for fusing the BIM tile and the point cloud tile file.
9. An electronic device, comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more applications configured to: a method of performing GIS and BIM fusion according to any one of claims 1 to 7.
10. A computer readable storage medium having stored thereon a computer program, characterized in that the program, when being executed by a processor, implements a method for GIS and BIM fusion according to any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211066935.0A CN115393240A (en) | 2022-09-01 | 2022-09-01 | GIS and BIM fusion method and device, electronic equipment and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211066935.0A CN115393240A (en) | 2022-09-01 | 2022-09-01 | GIS and BIM fusion method and device, electronic equipment and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115393240A true CN115393240A (en) | 2022-11-25 |
Family
ID=84125144
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211066935.0A Pending CN115393240A (en) | 2022-09-01 | 2022-09-01 | GIS and BIM fusion method and device, electronic equipment and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115393240A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115661396A (en) * | 2022-12-28 | 2023-01-31 | 中国电子科技集团公司第二十八研究所 | Map element annotation display method and system based on global grid division |
| CN116416387A (en) * | 2023-06-12 | 2023-07-11 | 中国电建集团昆明勘测设计研究院有限公司 | OSGB three-dimensional model rapid top layer reconstruction method |
| CN116563485A (en) * | 2023-05-11 | 2023-08-08 | 北京云庐科技有限公司 | Image fusion method and storage medium for BIM three-dimensional model and GIS map |
| CN117332102A (en) * | 2023-11-30 | 2024-01-02 | 陕西建一建设有限公司 | Building data optimized storage method based on BIM |
-
2022
- 2022-09-01 CN CN202211066935.0A patent/CN115393240A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115661396A (en) * | 2022-12-28 | 2023-01-31 | 中国电子科技集团公司第二十八研究所 | Map element annotation display method and system based on global grid division |
| CN116563485A (en) * | 2023-05-11 | 2023-08-08 | 北京云庐科技有限公司 | Image fusion method and storage medium for BIM three-dimensional model and GIS map |
| CN116563485B (en) * | 2023-05-11 | 2023-10-27 | 北京云庐科技有限公司 | Image fusion method and storage medium for BIM three-dimensional model and GIS map |
| CN116416387A (en) * | 2023-06-12 | 2023-07-11 | 中国电建集团昆明勘测设计研究院有限公司 | OSGB three-dimensional model rapid top layer reconstruction method |
| CN116416387B (en) * | 2023-06-12 | 2023-08-11 | 中国电建集团昆明勘测设计研究院有限公司 | OSGB three-dimensional model rapid top layer reconstruction method |
| CN117332102A (en) * | 2023-11-30 | 2024-01-02 | 陕西建一建设有限公司 | Building data optimized storage method based on BIM |
| CN117332102B (en) * | 2023-11-30 | 2024-02-06 | 陕西建一建设有限公司 | Building data optimized storage method based on BIM |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115393240A (en) | GIS and BIM fusion method and device, electronic equipment and readable storage medium | |
| Xu et al. | Combining IFC and 3D tiles to create 3D visualization for building information modeling | |
| CN115774861B (en) | Natural resource multi-source heterogeneous data convergence fusion service system | |
| CN110134752B (en) | Three-dimensional large-scene modeling data processing method and device | |
| CN109934911B (en) | OpenGL-based three-dimensional modeling method for high-precision oblique photography of mobile terminal | |
| CN112113544B (en) | Remote sensing data processing method and system based on unmanned aerial vehicle image | |
| US20150154796A1 (en) | Accelerated three-dimensional intersection testing using compressed volumes | |
| CN113112603B (en) | Method and device for optimizing three-dimensional model | |
| CN111221933A (en) | Three-dimensional tile construction method for fusion of massive map data and building information model | |
| CN113516769A (en) | Virtual reality three-dimensional scene loading and rendering method and device and terminal equipment | |
| EP3317852B1 (en) | Method in constructing a model of a scenery and device therefor | |
| CN111090712A (en) | Data processing method, device and equipment and computer storage medium | |
| Pepe et al. | Data for 3D reconstruction and point cloud classification using machine learning in cultural heritage environment | |
| KR101405891B1 (en) | Reality display system of air inteligence and method thereof | |
| CN111429560A (en) | Three-dimensional terrain service fusion method and device and server | |
| Khayyal et al. | Creation and spatial analysis of 3D city modeling based on GIS data | |
| CN113743155A (en) | Method for constructing multi-detail level model of object and computer equipment | |
| CN115082699B (en) | Contour shape extraction method and device, electronic equipment and storage medium | |
| JP2010525491A (en) | Geospatial modeling system and associated method for providing data decimation of geospatial data | |
| CN112053440A (en) | Method for determining individualized model and communication device | |
| CN116343103A (en) | Natural resource supervision method based on three-dimensional GIS scene and video fusion | |
| Wong et al. | Using geometry-based metrics as part of fitness-for-purpose evaluations of 3D city models | |
| Pyka et al. | LiDAR-based method for analysing landmark visibility to pedestrians in cities: case study in Kraków, Poland | |
| CN115357675B (en) | Method and system for establishing image control point database through standardized processing of image control points | |
| CN113989680B (en) | Automatic building three-dimensional scene construction method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |