CN115952580A - Underground space three-dimensional modeling processing method, system and storage medium - Google Patents

Abstract

The application relates to the technical field of BIM modeling, in particular to a method, a system and a storage medium for underground space three-dimensional modeling processing, wherein the method comprises the following steps: acquiring initial survey information of an underground space; classifying the initial survey information of the underground space according to a preset classification method to obtain a plurality of classification sub-information; establishing an underground space initial model according to the plurality of classification sub-information; judging whether the stable entropy values of the plurality of classification sub-information are larger than a preset value or not; if the number of the components is less than the preset number, marking the corresponding components to obtain unstable component information; generating an underground space reference model according to the unstable member information; updating the underground space reference model according to the new unstable component information, and updating the underground space initial model according to the classification sub-information of which the stable entropy value is greater than the preset value; and acquiring the underground space final model according to the construction task progress node. The method and the device have the effect of improving the efficiency of complex underground space modeling.

Description

Underground space three-dimensional modeling processing method, system and storage medium

Technical Field

The application relates to the technical field of BIM modeling, in particular to a method and a system for processing underground space three-dimensional modeling and a storage medium.

Background

The BIM represents a building information module, which is a three-dimensional digital expression of the full life cycle information of the building and comprises three-dimensional geometric models and functional characteristic information of all building components in the building engineering. The used components are not only basic constituent units of building entities, but also basic elements in BIM. With the wide application of BIM in the building construction process, a four-dimensional BIM model is formed nowadays, and the three-dimensional animation simulation of the construction process according to the construction planning time is supported.

The BIM technology is widely applied to the construction process of the above-ground and underground buildings, and the BIM modeling application of the underground space has certain complexity and uncertainty because the underground space construction is compared with the above-ground space. For example, the underground cavern has different surrounding rock types, and for construction excavation of underground spaces such as underground passages and subways, the surrounding rock type of the underground space cannot be judged according to geological survey in an early stage, but the geological condition needs to be acquired in real time according to the excavation progress.

In the three-dimensional modeling of the underground space in the related technology, in the face of modeling design with uncertainty, along with the deepening of the excavation progress, different geological conditions occur, and the three-dimensional model needs to be continuously modified, but the general modification mode is to re-model or replace drawings of areas needing to be changed, modify the three-dimensional model manually, and replace the modified three-dimensional model into the original model after modification.

However, in the method in the related art, the workload of designers is increased to a certain extent no matter the modeling is performed again or the corresponding drawing is replaced and then the modeling is performed manually, the whole model is processed and updated after being modified every time, and the workload of a computer is also large.

Disclosure of Invention

In order to improve the efficiency of complex underground space modeling, the application provides a method, a system and a storage medium for underground space three-dimensional modeling processing.

In a first aspect, the present application provides a method for processing a three-dimensional modeling of an underground space, which adopts the following technical solution:

a three-dimensional modeling processing method for underground space comprises the following steps:

acquiring initial survey information of an underground space;

classifying the initial survey information of the underground space according to a preset classification method to obtain a plurality of classification sub-information;

establishing an underground space initial model according to a plurality of classification sub-information;

obtaining stable entropy values corresponding to the plurality of classification sub-information according to a preset assignment library, wherein the stable entropy values represent the possibility that the classification and numerical values of certain classification sub-information are stable and not modified in the whole construction process;

judging whether stable entropy values of a plurality of classification sub-information are larger than a preset value or not;

if the number of the sub-information is smaller than the preset number, marking the underground space initial model and the component corresponding to the classification sub-information to obtain unstable component information;

acquiring all the unstable component information, and generating an underground space reference model according to the unstable component information;

acquiring continuous survey information of an underground space, marking classification sub-information of which the stable entropy value is smaller than a preset value in the continuous survey information of the underground space to acquire new unstable member information, updating a reference model of the underground space according to the new unstable member information, and updating a primary model of the underground space according to the classification sub-information of which the stable entropy value is larger than the preset value;

and acquiring a construction task progress node, wherein the construction task progress node is represented as a time point for receiving the survey information each time, and acquiring an underground space final model formed by combining the underground space initial model and the underground space reference model according to the construction task progress node.

Preferably, the establishing of the initial model of the underground space according to the plurality of classification sub-information further includes:

acquiring attribute information corresponding to a plurality of classification sub-information;

partitioning the initial underground space model according to the attribute information to obtain a plurality of subunit models;

and performing thinning grading on the plurality of subunit models to obtain invisible information and filtering, wherein the invisible information is represented by spatial data which is invisible in the three-dimensional direction.

Preferably, if the number of the unstable members is less than the predetermined number, the method includes the following steps:

if the unstable component information is short-term unstable component information, marking a first color on the corresponding component;

and if the unstable component information is long-term unstable component information, marking a second color on the corresponding component.

Preferably, the method for acquiring continuous survey information of the underground space and marking the classification sub-information of which the stable entropy value is smaller than the preset value in the continuous survey information of the underground space to acquire new unstable component information comprises the following steps:

judging whether the marking times of the classified sub-information is greater than a preset value or not;

if the marking times of the classification sub-information are smaller than a preset value, the marking times are in inverse proportion to the stable entropy value corresponding to the classification sub-information, the more the marking times are, the lower the stable entropy value is, and the less the marking times are, the higher the stable entropy value is;

if the marking times of the classification sub-information are larger than a preset value, the marking times are in direct proportion to the stable entropy value corresponding to the classification sub-information, the more the marking times are, the higher the stable entropy value is, and the more the marking times are, the lower the stable entropy value is.

Preferably, after updating the reference model of the subsurface space according to the new unstable member information, the method further includes:

packing the new unstable component information to generate a reference variable update package;

sending the reference variable update package to a cloud database corresponding to the underground space initial model for storage;

generating corresponding updating maps and position information according to the reference variable updating packets;

and pasting the updated chartlet on the corresponding position of the underground space initial model according to the position information.

Preferably, the updating the initial model of the underground space according to the classification sub-information of which the stable entropy is greater than the preset value includes the following steps:

if the classification sub-information of the underground space continuous investigation information with the stable entropy value larger than the preset value and the unstable component information in the underground space initial investigation information belong to the same classification;

and updating the initial model of the underground space according to the classification sub-information of which the stable entropy value is greater than the preset value and canceling the mark of the corresponding unstable member information.

Preferably, the obtaining of the final underground space model formed by combining the initial underground space model and the reference underground space model according to the construction task progress node specifically includes:

acquiring first modeling information of an underground space initial model;

acquiring second modeling information of the underground space reference model;

judging whether the first modeling information and the second modeling information are seamlessly fused or not;

if yes, acquiring a latest reference variable update package in a cloud database corresponding to the underground space initial model, and performing fusion update on the underground space initial model according to the reference variable update package to obtain an underground space final model;

if not, a corresponding abnormal instruction is sent out.

Preferably, the fusion updating of the initial model of the underground space according to the reference variable data packet at least includes the following steps: boolean operation, DEM editing, space correction and three-dimensional rendering.

In a second aspect, the present application provides a three-dimensional modeling system for an underground space, which adopts the following technical solutions:

a three-dimensional modeling system for a subsurface space, comprising: a processing module, a modeling module and a value assignment library, wherein,

the processing module is used for acquiring initial survey information of the underground space and classifying the initial survey information of the underground space according to a preset classification method to acquire a plurality of classification sub-information; the modeling module is used for carrying out three-dimensional modeling according to the plurality of classification sub-information to obtain an underground space initial module.

The processing module is further used for obtaining the stable entropy values corresponding to the plurality of classification sub-information according to the preset assignment library, and the stable entropy values represent the possibility that the classification and numerical values of certain classification sub-information are stable and not modified in the whole construction process.

The processing module judges whether the stable entropy values of the classification sub-information are larger than a preset value or not;

if the number of the sub-information is smaller than the preset number, marking the underground space initial model and the component corresponding to the classification sub-information to obtain unstable component information;

and acquiring all the unstable component information, enabling the modeling module to generate an underground space reference model according to the unstable component information, acquiring underground space continuous survey information, marking classification sub-information with a stable entropy value smaller than a preset value in the underground space continuous survey information to acquire new unstable component information, updating the underground space reference model according to the new unstable component information, and updating the underground space initial model according to the classification sub-information with a stable entropy value larger than the preset value.

The processing module is further used for obtaining a construction task progress node, the construction task progress node is characterized by a time point of receiving the survey information each time, and an underground space final model formed by combining the underground space initial model and the underground space reference model is obtained according to the construction task progress node.

In a third aspect, the present application provides a computer storage medium, which adopts the following technical solutions:

a computer storage medium on which a computer program is stored, which computer program, when executed by a processor, implements the above-described three-dimensional modeling processing method for a subsurface space.

In summary, the present application includes at least one of the following beneficial technical effects:

1. classifying the data with high stability and the data with low stability, generating a primary model according to a first investigation result, generating a reference model according to the data with low stability, and updating the data with poor stability in the input reference model and updating the input primary model with high stability in the data information in the subsequent investigation process, so that the data modified for many times along with the construction process can be updated in the reference model with low data volume, the calculation amount of a computer is reduced, and the modeling efficiency is improved;

2. by generating an updating package and a map corresponding to the reference model, an effect map corresponding to the current construction progress can be seen on the initial model in the form of the map without repeated updating, and after construction is finished, the initial model is quickly updated according to the updating package, so that the modeling efficiency is improved;

3. whether the corresponding relation between the initial model and the reference model reaches the standard or not is judged through seamless fusion check, so that the situations of data loss and data abnormity in the updating process are reduced.

Drawings

Fig. 1 is a schematic overall flow chart of an embodiment of the present application.

Detailed Description

The present application is described in further detail below with reference to fig. 1.

The embodiment of the application discloses a three-dimensional modeling processing method for an underground space.

As shown in fig. 1, a processing method for three-dimensional modeling of a subsurface space includes the following steps:

and S100, acquiring initial survey information of the underground space.

The initial reconnaissance information of the underground space is reconnaissance data which is recorded and uploaded after the underground space is preliminarily reconnaissance by a constructor, and comprises data measured and drawn by a professional space surveying and mapping tool and data of various manual surveying and surveying surveys.

In the uploading initial stage, the processing module can automatically generate a survey information recording template according to the past survey experience, and constructors or surveys can fill in corresponding survey information according to the template and upload the corresponding survey information to the server.

S200, classifying the initial survey information of the underground space according to a preset classification method to obtain a plurality of classification sub-information.

Survey information often has different classifications, such as basic information, position information, drilling information, surrounding rock type information, soil texture information, tunnel information, underground pipelines, foundations and the like, and each information is properly classified according to the corresponding type.

Meanwhile, the classification sub-information can be directly generated according to the corresponding information division on the template, that is, each area on the template is classified and divided in advance, and the information filled in the area is automatically divided into the corresponding classification.

The classification method can be properly adjusted according to historical data analysis so as to judge which classification the data belong to.

S300, establishing an underground space initial model according to the plurality of classification sub-information.

Modeling is performed through BIM according to preliminary survey data of the underground space, and besides the BIM, the method also supports modeling by using CAD, two-dimensional vectors, oblique photography three-dimensional models, traditional manual three-dimensional models, geo3DGML and the like.

Specifically, the method further comprises the following steps:

s310, obtaining attribute information corresponding to the classification sub-information.

And S320, partitioning the initial model of the underground space according to the attribute information to obtain a plurality of subunit models.

S330, performing rarefaction grading on the plurality of subunit models to obtain invisible information and filtering.

Often, modeling grid data of an underground space in a project are very huge, and a three-dimensional model with large data volume is divided into scattered small data connected in space through different attributes, namely subunit modules and stored in different logic units, so that the maximum utilization of computing units of storage resources is realized. The storage effect is improved, and the efficiency of underground space analysis is further improved.

The thinning-out classification essentially compresses data, obtains feature points of line segments, and requires calculation to extract subsets of point data geometry forming the line segments according to specified precision requirements, so that the line segments corresponding to the subsets are similar to original line segments in expression, and the subsets are as small as possible relative to the original set, namely, the subsets are characterized as being as small as possible in data volume.

By carrying out rarefaction grading on the plurality of subunit models, filtering data which are invisible in the model in the three-dimensional direction, and determining the spatial data of the coarsest grade for processing, the data volume is reduced, and the operation efficiency is improved.

S400, obtaining stable entropy values corresponding to the plurality of classification sub-information according to a preset assignment library.

The stable entropy value is characterized in that the classification and data of certain classification sub-information are stable in the whole construction process and are not modified.

Each classified information is basically modified in different times in the process from initial exploration to subsequent continuous exploration, because the underground space is different from the ground space, when the ground space is constructed, the exploration information of the subsequent construction is not modified in a large number of variables, but the underground space is complex and is mixed with different soil layers, surrounding rocks, underground water and the like, so that some variables are changed along with the construction progress in different stages.

And when the classification sub-information is divided from the underground space initial survey information, the stable entropy values corresponding to different classification sub-information are found in the assignment library.

Information such as foundations, positions and the like is set in advance during initial construction, the possibility of modification is low, and therefore the stable entropy value is relatively high, and the possibility of modification of information such as surrounding rocks and underground water along with the depth of excavation is high, and therefore the stable entropy value is relatively low.

S500, judging whether the stable entropy values of the plurality of classification sub-information are larger than a preset value or not, and if so, marking the underground space initial model and the member corresponding to the classification sub-information to obtain unstable member information.

If the stable entropy value of the classification sub-information is larger than the preset value, the classification sub-information is relatively stable, the possibility of data modification is determined to be relatively low according to the stable entropy value obtained by the previous construction analysis, and if the stable entropy value of the classification sub-information is smaller than the preset value, the classification sub-information is unstable, and the classification sub-information is modified with the progress of exploration and mining after a large probability, so that the classification sub-information needs to be marked to obtain corresponding unstable component information.

Wherein the non-stationary member information includes short-term non-stationary member information and long-term non-stationary member information.

The method specifically comprises the following steps:

if the unstable component information is short-term unstable component information, the first color is marked on the corresponding component.

If the unstable member information is long-term unstable member information, the second color is marked on the corresponding member.

The first color and the second color are different, e.g., the first color may be blue and the second color may be red. The information of the unstable members after the initial survey is marked in the three-dimensional model by different colors, thereby enabling the designer to quickly find out that those members are unstable.

S600, acquiring all unstable component information, and generating an underground space reference model according to the unstable construction information.

And acquiring all unstable construction information, and generating a new underground space model according to the component information, wherein the new underground space model is defined as an underground space reference model. The difference between the underground space reference model and the underground space initial model is that the underground space reference model only contains unstable components, but does not contain stable components.

S700, obtaining continuous underground space survey information, marking classification sub-information of which the stable entropy value is smaller than a preset value in the continuous underground space survey information to obtain new unstable component information, updating an underground space reference model according to the new unstable component information, and updating an underground space initial model according to the classification sub-information of which the stable entropy value is larger than the preset value.

If new exploration information is generated and uploaded in the deep excavation process along with the development of construction, the stable entropy values of various classification sub-information in the underground space continuous exploration information need to be judged again, the classification sub-information of which the stable entropy value is smaller than the preset value is sent to the underground space reference model to be closer, and the classification sub-information of which the stable entropy value is larger than the preset value is sent to the underground space primary model to be updated.

By the method, a reference three-dimensional model is set, any data with poor stability is modified in the reference model with small data volume, and the initial model of the underground space only updates some numerical values with high stability due to large data volume, and the modification times are relatively small due to strong stability of classification information, so that the workload of a computer is reduced, and repeated data updating on model drawing paper with large data volume is not needed.

Further, the method specifically comprises the following steps:

s710, judging whether the marking times of the classification sub-information is larger than a preset value.

S720, if the marking times of the classification sub-information are smaller than the preset value, the marking times are in inverse proportion to the stable entropy corresponding to the classification sub-information, the more the marking times are, the lower the stable entropy is, and the less the marking times are, the higher the stable entropy is.

And S730, if the marking times of the classification sub-information are larger than the preset value, the marking times are in direct proportion to the stable entropy corresponding to the classification sub-information, the more the marking times are, the higher the stable entropy is, and the more the marking times are, the lower the stable entropy is.

When new construction progress is available and new underground space continuous survey information is received each time, some classification sub-information is necessarily marked for multiple times, namely is modified for multiple times, whether the marked times are more than the preset times or not is further judged, if the marked times are more than the preset times, the classification sub-information is modified for very many times, the possibility that the classification information is modified subsequently is correspondingly lowered, otherwise, if the marked times of the classification information are less than the preset values, the classification sub-information is not modified for many times, the possibility that the classification information is modified again is higher.

For example, a classification sub-message with a low initial stable entropy is likely to be modified many times, and when the classification sub-message has been modified more than a predetermined number of times, such as 10 times, the probability of being modified again is lower than 1 time, and the corresponding stable entropy becomes larger and more stable.

And a classification sub-information has a higher initial stable entropy value, which indicates that the data is relatively stable, but if the value is modified for 1 time, 2 times and 3 times, the stability of the value is definitely reduced, so that when the modification times are less, the stable entropy value is correspondingly smaller and smaller as the marking times are increased. When the stable entropy value is continuously reduced and is lower than the preset value, the corresponding data becomes unstable, and unstable component information is generated.

Further comprising:

and S740, packaging the new unstable component information to generate a reference variable update package.

And S750, sending the reference variable update package to a cloud database corresponding to the underground space initial model for storage.

S760, generating corresponding updated map and position information according to the reference variable update package.

And S770, pasting the updated map on the corresponding position of the initial model of the underground space according to the position information.

And packaging all the new unstable component information to generate a reference variable updating package, and continuously adding the new unstable component information into the updating package each time when the new unstable component information appears, and placing the new unstable component information into the cloud database corresponding to the initial model.

And generating a corresponding map and a position corresponding to the map according to the component information in the update package, and pasting the map on the initial model.

When the reference model is updated according to the unstable component information every time, updated contents are packaged and stored, the initial model can be rapidly updated after the follow-up exploration is finished conveniently, and the mapping is carried out when the exploration is not finished, in order to enable designers to conveniently check the engineering future effect graph service obtained after the BIM three-dimensional model is advanced and rendered through the time dimension, the current model is displayed in a mapping mode, and the data which is not stable yet is not required to be placed into the initial model for modeling, so that the workload is reduced.

Further comprising:

and S780, if the classification sub-information of the continuous survey information of the underground space, of which the stable entropy value is greater than the preset value, and the unstable component information in the initial survey information of the underground space belong to the same classification, updating the initial model of the underground space according to the classification sub-information of which the stable entropy value is greater than the preset value, and marking the unstable component information corresponding to the initial model of the underground space.

If the stable entropy value of one classification sub-information is larger than the preset value after being modified for many times, the classification sub-information is changed from unstable to stable, whether the member corresponding to the classification sub-information and unstable classification information in the initial survey information of the underground space are classified as agreeable is judged, if yes, the mark of the classification information is cancelled, the classification sub-information is changed into a more stable member, and meanwhile, the subsequent information belonging to the same classification with the classification information is directly modified on the initial model.

And S800, acquiring a construction task progress node, and acquiring an underground space final model formed by combining underground space reference models of the underground space initial models according to the construction task progress node.

The method specifically comprises the following steps:

s810, first modeling information of the initial model of the underground space is obtained.

And S820, acquiring second modeling information of the underground space reference model.

And S830, judging whether the first modeling information and the second modeling information are seamlessly fused.

And S840, if yes, acquiring a latest reference variable update package in the cloud database corresponding to the initial underground space model, and performing fusion update on the initial underground space model according to the reference variable update package to obtain a final underground space model.

And S850, if not, sending a corresponding abnormal instruction.

The first modeling information and the second modeling information are both characterized as model parameters in the modeling process, and comprise modeled data parameters, classification sub-information, component information, environment information, facility information and the like.

The seamless fusion means that the two modeling models have a space-time association relationship, the two modeling models can be merged and fused on a reference surface after mapping, and the final model of the underground space generated after fusion has a uniform coordinate system and a uniform scale.

If the two models can be fused, the fact that the incidence relation between the two models is kept in the updating process and the updating error does not occur is shown, and the two models are fused to obtain a final underground space model.

The fusion method comprises Boolean operation, DEM editing, space correction, three-dimensional rendering and the like.

The Boolean operation is realized through a three-dimensional body Boolean operation tool, and the integrated seamless fusion and accurate expression of space element three-dimensional models of geological environment, underground pipelines, underground civil air defense facilities, underground traffic facilities, underground shopping malls and the like are realized.

The DEM is a data set of plane coordinates and elevations of regular grid points in a certain range and is mainly used for describing the spatial distribution of regional landform forms, and the DEM edition is formed by acquiring data through contour lines or similar three-dimensional models and then interpolating the data.

The spatial correction uses a spatial correction tool, so that underground full-space big data with characteristics of multiple elements, multiple scales, multiple meanings, multiple modes and the like are mapped to a uniform space, and a space-time object association relation under a uniform space-time reference is constructed.

If the initial model of the underground space and the reference model of the underground space cannot be seamlessly fused, it is indicated that data loss, data abnormality and the like exist in the updating process, and a corresponding abnormal instruction needs to be sent to remind corresponding designers to check.

The application also discloses a three-dimensional modeling system of the underground space, which comprises a processing module, a modeling module and a value assignment library, wherein:

the processing module is used for acquiring the initial survey information of the underground space and classifying the initial survey information of the underground space according to a preset classification method to obtain a plurality of classification sub-information; the modeling module is used for carrying out three-dimensional modeling according to the plurality of classification sub-information to obtain an underground space initial module.

The processing module is further used for obtaining stable entropy values corresponding to the plurality of classification sub-information according to the preset assignment library, and the stable entropy values represent the possibility that the classification and numerical values of certain classification sub-information are stable and not modified in the whole construction process.

The processing module judges whether the stable entropy values of the plurality of classification sub-information are larger than a preset value or not;

if the component information is smaller than the classification sub information, marking the underground space initial model and the component corresponding to the classification sub information to obtain unstable component information;

acquiring all unstable component information, enabling a modeling module to generate an underground space reference model according to the unstable component information, acquiring underground space continuous survey information, marking classification sub-information of which the stable entropy value is smaller than a preset value in the underground space continuous survey information to acquire new unstable component information, updating the underground space reference model according to the new unstable component information, and updating an underground space initial model according to the classification sub-information of which the stable entropy value is larger than the preset value.

The processing module is further used for obtaining a construction task progress node, the construction task progress node is characterized by a time point of receiving the investigation information each time, and an underground space final model formed by combining the underground space initial model and the underground space reference model is obtained according to the construction task progress node.

The application also discloses a computer storage medium, on which a computer program is stored, and the computer program is executed by a processor to realize the underground space three-dimensional modeling processing method.

The implementation effect is as follows:

by the method, the data with high stability and the data with low stability are classified, a primary model is generated according to a first survey result, a reference model is generated according to the data with low stability, the data with poor stability is updated in the reference model in the data information in the follow-up survey process, and the input primary model with high stability is updated, so that the data modified for many times along with the construction process can be updated in the reference model with low data volume, the calculation amount of a computer is reduced, an effect diagram corresponding to the current construction progress can be seen on the primary model in the form of the map without repeated updating by generating an updating package and the map corresponding to the reference model, and after the construction is finished, the primary model is quickly updated according to the package, so that the modeling efficiency is improved.

The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.

Claims (10)

1. A three-dimensional modeling processing method for underground space is characterized by comprising the following steps:

acquiring initial survey information of an underground space;

classifying the initial survey information of the underground space according to a preset classification method to obtain a plurality of classification sub-information;

establishing an underground space initial model according to a plurality of classification sub-information;

obtaining stable entropy values corresponding to the plurality of classification sub-information according to a preset assignment library, wherein the stable entropy values represent the possibility that the classification and numerical values of certain classification sub-information are stable and not modified in the whole construction process;

judging whether the stable entropy values of the plurality of classification sub-information are larger than a preset value or not;

if the component information is smaller than the classification sub information, marking the underground space initial model and the component corresponding to the classification sub information to obtain unstable component information;

acquiring all the unstable component information, and generating an underground space reference model according to the unstable component information;

acquiring continuous survey information of an underground space, marking classification sub-information of which the stable entropy value is smaller than a preset value in the continuous survey information of the underground space to acquire new unstable member information, updating a reference model of the underground space according to the new unstable member information, and updating a primary model of the underground space according to the classification sub-information of which the stable entropy value is larger than the preset value;

and acquiring a construction task progress node, wherein the construction task progress node is characterized by a time point of receiving the investigation information each time, and acquiring an underground space final model formed by combining the underground space initial model and the underground space reference model according to the construction task progress node.

2. The underground space three-dimensional modeling processing method according to claim 1, characterized in that: establishing an initial model of the underground space according to the plurality of classification sub-information further comprises:

acquiring attribute information corresponding to a plurality of classification sub-information;

partitioning the initial model of the underground space according to the attribute information to obtain a plurality of subunit models;

and thinning and grading the plurality of subunit models to obtain invisible information and filtering the invisible information, wherein the invisible information is characterized by spatial data which are invisible in the three-dimensional direction.

3. The method of claim 1, wherein if the model is smaller than the classification sub-information, the method marks the initial underground space model and the member corresponding to the classification sub-information to obtain unstable member information, wherein the unstable member information includes short-term unstable member information and long-term unstable member information, and comprises the following steps:

if the unstable component information is short-term unstable component information, marking a first color on the corresponding component;

and if the unstable component information is long-term unstable component information, marking a second color on the corresponding component.

4. The underground space three-dimensional modeling processing method according to claim 1, characterized in that: acquiring continuous survey information of an underground space, and marking classification sub-information of which the stable entropy value is smaller than a preset value in the continuous survey information of the underground space to acquire new unstable component information, wherein the method comprises the following steps:

judging whether the marking times of the classified sub-information is greater than a preset value or not;

if the marking times of the classification sub-information are smaller than a preset value, the marking times are in inverse proportion to the stable entropy value corresponding to the classification sub-information, the more the marking times are, the lower the stable entropy value is, and the less the marking times are, the higher the stable entropy value is;

if the marking times of the classification sub-information are larger than a preset value, the marking times are in direct proportion to the stable entropy value corresponding to the classification sub-information, the more the marking times are, the higher the stable entropy value is, and the more the marking times are, the lower the stable entropy value is.

5. The underground space three-dimensional modeling processing method according to claim 1, characterized in that: after the underground space reference model is updated according to the new unstable component information, the method further comprises the following steps:

packing the new unstable component information to generate a reference variable update package;

sending the reference variable update package to a cloud database corresponding to the underground space initial model for storage;

generating corresponding updating map and position information according to the reference variable updating packet;

and pasting the updated chartlet on the corresponding position of the underground space initial model according to the position information.

6. The underground space three-dimensional modeling processing method according to claim 1, characterized in that: meanwhile, the initial model of the underground space is updated according to the classification sub-information of which the stable entropy value is greater than the preset value, and the method comprises the following steps:

if the classification sub-information of the underground space continuous investigation information with the stable entropy value larger than the preset value and the unstable component information in the underground space initial investigation information belong to the same classification;

and updating the initial model of the underground space according to the classification sub-information of which the stable entropy value is greater than the preset value and canceling the mark of the corresponding unstable member information.

7. The underground space three-dimensional modeling processing method according to claim 1, characterized in that: acquiring an underground space final model formed by combining the underground space initial model and the underground space reference model according to the construction task progress node, wherein the method specifically comprises the following steps:

acquiring first modeling information of an underground space initial model;

acquiring second modeling information of the underground space reference model;

judging whether the first modeling information and the second modeling information are seamlessly fused or not;

if so, acquiring a latest reference variable update package in a cloud database corresponding to the underground space initial model, and performing fusion update on the underground space initial model according to the reference variable update package to obtain an underground space final model;

if not, a corresponding abnormal instruction is sent out.

8. The underground space three-dimensional modeling processing method according to claim 7, characterized in that: the fusion updating of the initial model of the underground space according to the reference variable data packet at least comprises the following steps: boolean operation, DEM editing, space correction and three-dimensional rendering.

9. A three-dimensional modeling system for a subsurface space, comprising: a processing module, a modeling module and a value assignment library, wherein,

the processing module is used for acquiring initial survey information of an underground space and classifying the initial survey information of the underground space according to a preset classification method to acquire a plurality of classification sub-information; the modeling module is used for carrying out three-dimensional modeling according to the plurality of classification sub-information to obtain an underground space primary module;

the processing module is further used for obtaining stable entropy values corresponding to the classification sub-information according to the preset assignment library, and the stable entropy values represent the possibility that the classification and numerical values of certain classification sub-information are stable and not modified in the whole construction process;

the processing module judges whether the stable entropy values of the classification sub-information are larger than a preset value or not;

if the component information is smaller than the classification sub information, marking the underground space initial model and the component corresponding to the classification sub information to obtain unstable component information;

acquiring all the unstable component information, enabling the modeling module to generate an underground space reference model according to the unstable component information, acquiring underground space continuous survey information, marking classification sub-information with a stable entropy value smaller than a preset value in the underground space continuous survey information to acquire new unstable component information, updating the underground space reference model according to the new unstable component information, and updating the underground space initial model according to the classification sub-information with the stable entropy value larger than the preset value;

the processing module is further used for obtaining a construction task progress node, the construction task progress node is characterized by a time point of receiving the investigation information each time, and an underground space final model formed by combining the underground space initial model and the underground space reference model is obtained according to the construction task progress node.

10. A computer storage medium having a computer program stored thereon, characterized in that: the computer program, when executed by a processor, implements the method of processing for three-dimensional modeling of a subsurface space of any of claims 1-8.

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