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

Abstract

The application relates to the technical field of BIM modeling, in particular to an underground space three-dimensional modeling processing method and system and a storage medium, which comprises the following steps: obtaining 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 classified sub-information; establishing an initial model of the underground space according to the plurality of classified sub-information; judging whether the stable entropy value of the plurality of classified sub-information is greater than a preset value; if not, marking the corresponding component to obtain non-stable component information; generating a reference model of the underground space according to the non-stable component information; updating the reference model of the underground space according to new non-stable component information, and updating the initial model of the underground space according to the classified sub-information with the stable entropy value greater than the preset value; and obtaining a final model of the underground space according to a construction task progress node. The application has the effect of improving the efficiency of complex underground space modeling.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of BIM modeling, in particular to an underground space three-dimensional modeling processing method and system and a storage medium. BACKGROUND

[0002] BIM represents building information module, which is a three-dimensional digital expression of building life cycle information, which contains three-dimensional geometric models and functional characteristic information of all building components in building engineering. The components used are the basic building blocks of building entities and the basic elements in BIM. With the wide application of BIM in the construction process, four-dimensional BIM models are formed today, which support three-dimensional animation simulation of the construction process according to the construction plan time.

[0003] BIM technology has a relatively wide application in the construction process of aboveground and underground buildings, and the application of BIM modeling for underground space has certain complexity and uncertainty compared with aboveground space. For example, underground caverns have different surrounding rock types, and for the construction and excavation of underground spaces such as underground tunnels and subways, the surrounding rock type of the underground space cannot be determined according to the preliminary geological survey, but needs to be obtained in real time according to the progress of excavation.

[0004] In the related art, the three-dimensional modeling of underground space faces the modeling design with uncertainty, and as the excavation progresses, different geological conditions need to be constantly modified to the three-dimensional model, and the common modification method is to re-model or replace the drawings of the area that needs to be changed, and then manually modify the three-dimensional model. After modification, replace the modified three-dimensional model into the original model.

[0005] However, the method in the related art described above, whether it is re-modeling or replacing the corresponding drawings and then manually re-modeling, increases the workload of the designers to some extent, and the entire model needs to be processed and updated after each modification, which also increases the workload of the computer. SUMMARY

[0006] In order to improve the efficiency of complex underground space modeling, the present application provides an underground space three-dimensional modeling processing method, system and storage medium.

[0007] In a first aspect, the present application provides an underground space three-dimensional modeling processing method, which adopts the following technical solution:

[0008] An underground space three-dimensional modeling processing method, comprising the following steps:

[0009] Obtain initial survey information of underground space;

[0010] classifying the initial survey information of the underground space according to a preset classification method to obtain a plurality of classified sub-information;

[0011] establishing an initial model of the underground space according to the plurality of classified sub-information;

[0012] obtaining stable entropy values corresponding to the plurality of classified sub-information from a preset assignment library, the stable entropy values representing the possibility that the category and value of a certain classified sub-information are stable and do not change during the whole construction process;

[0013] judging whether the stable entropy values of the plurality of classified sub-information are greater than a preset value;

[0014] if not, marking the initial model of the underground space and the component corresponding to the classified sub-information to obtain non-stable component information;

[0015] obtaining all the non-stable component information and generating a reference model of the underground space according to the non-stable component information;

[0016] obtaining continuous survey information of the underground space, marking the classified sub-information in the continuous survey information of the underground space whose stable entropy value is less than the preset value to obtain new non-stable component information, updating the reference model of the underground space according to the new non-stable component information, and updating the initial model of the underground space according to the classified sub-information whose stable entropy value is greater than the preset value;

[0017] obtaining a construction task progress node representing the time point at which survey information is received each time, and obtaining a final model of the underground space combined from the initial model of the underground space and the reference model of the underground space according to the construction task progress node.

[0018] Preferably, establishing an initial model of the underground space according to the plurality of classified sub-information further comprises:

[0019] obtaining attribute information corresponding to the plurality of classified sub-information;

[0020] dividing the initial model of the underground space according to the attribute information to obtain a plurality of sub-unit models;

[0021] thinning and grading the plurality of sub-unit models to obtain invisible information representing spatial data invisible in three-dimensional directions and filtering the invisible information.

[0022] Preferably, if not, marking the initial model of the underground space and the component corresponding to the classified sub-information to obtain non-stable component information, the non-stable component information including short-term non-stable component information and long-term non-stable component information, comprising the following steps:

[0023] If the non-stable component information is short-term non-stable component information, a first color is marked on the corresponding component;

[0024] If the non-stable component information is long-term non-stable component information, a second color is marked on the corresponding component.

[0025] Preferably, the underground space continuous exploration information is obtained, and the classified sub-information with a stable entropy value less than a preset value in the underground space continuous exploration information is marked to obtain new non-stable component information, comprising the following steps:

[0026] It is judged whether the marking number of the classified sub-information is greater than a preset value;

[0027] If the marking number of the classified sub-information is less than the preset value, the marking number is inversely proportional to the stable entropy value corresponding to the classified sub-information, the more the marking number is, the lower the stable entropy value is, and the less the marking number is, the higher the stable entropy value is;

[0028] If the marking number of the classified sub-information is greater than the preset value, the marking number is proportional to the stable entropy value corresponding to the classified sub-information, the more the marking number is, the higher the stable entropy value is, and the more the marking number is, the lower the stable entropy value is.

[0029] Preferably, after the underground space reference model is updated according to the new non-stable component information, the following steps are further included:

[0030] The new non-stable component information is packaged to generate a reference variable update package;

[0031] The reference variable update package is sent to a cloud database corresponding to the underground space initial model for storage;

[0032] The corresponding update map and position information are generated according to the reference variable update package;

[0033] The update map is pasted on the corresponding position of the underground space initial model according to the position information.

[0034] Preferably, the underground space initial model is updated according to the classified sub-information with a stable entropy value greater than a preset value, comprising the following steps:

[0035] If the classified sub-information with a stable entropy value greater than a preset value in the underground space continuous exploration information belongs to the same category as the non-stable component information in the underground space initial exploration information;

[0036] The underground space initial model is updated according to the classified sub-information with a stable entropy value greater than a preset value, and the marking of the non-stable component information corresponding thereto is cancelled.

[0037] Preferably, the underground space final model is obtained according to the construction task progress node and by combining the underground space initial model and the underground space reference model, and specifically includes:

[0038] obtaining first modeling information of the underground space initial model;

[0039] obtaining second modeling information of the underground space reference model;

[0040] determining whether the first modeling information and the second modeling information are seamlessly fused;

[0041] if yes, obtaining the latest reference variable update package in the 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 the underground space final model;

[0042] if no, issuing a corresponding abnormal instruction.

[0043] Preferably, the fusion update of the underground space initial model according to the reference variable data package at least includes the following methods: Boolean operation, DEM editing, spatial correction, and three-dimensional rendering.

[0044] In a second aspect, the application provides an underground space three-dimensional modeling system, which adopts the following technical scheme:

[0045] An underground space three-dimensional modeling system includes a processing module, a modeling module, and an assignment library, wherein

[0046] the processing module is configured to obtain underground space initial survey information and classify the underground space initial survey information according to a preset classification method to obtain a plurality of classified sub-information; and the modeling module is configured to perform three-dimensional modeling according to the plurality of classified sub-information to obtain an underground space initial model.

[0047] The assignment library is preset with stable entropy values corresponding to the plurality of classified sub-information, and the processing module is further configured to obtain the stable entropy values corresponding to the plurality of classified sub-information according to the preset assignment library, wherein the stable entropy value represents the possibility that a certain classified sub-information is stable in category and value without modification in the whole construction process.

[0048] The processing module determines whether the stable entropy values of the plurality of classified sub-information are greater than a preset value.

[0049] if less than, marking the underground space initial model and the component corresponding to the classified sub-information to obtain non-stable component information;

[0050] Obtain all the non-stable component information, and make the modeling module generate an underground space reference model according to the non-stable component information, and obtain underground space continuous exploration information, and mark the classified sub-information with a stable entropy value less than a preset value in the underground space continuous exploration information to obtain new non-stable component information, and update the underground space reference model according to the new non-stable component information, and update the underground space initial model according to the classified sub-information with a stable entropy value greater than the preset value.

[0051] The processing module is further configured to obtain a construction task progress node, the construction task progress node representing a time point at which the exploration information is received each time, and obtain an underground space final model combined by the underground space initial model and the underground space reference model according to the construction task progress node.

[0052] In a third aspect, the present application provides a computer storage medium, which adopts the following technical solution:

[0053] A computer storage medium, which stores a computer program, and the computer program is executed by a processor to implement the above underground space three-dimensional modeling processing method.

[0054] In summary, the present application has at least one of the following beneficial technical effects:

[0055] 1. The data with high stability and the data with low stability are classified, an initial model is generated according to the first exploration result, a reference model is generated according to the data with low stability, and in the data information in the subsequent exploration process, the data with low stability is input into the reference model for updating, and the data with high stability is input into the initial model for updating, so that the data modified multiple times along with the construction process can be updated in the reference model with a relatively small amount of data, the calculation amount of the computer is reduced, and the modeling efficiency is improved.

[0056] 2. By generating an update package and a corresponding map of the reference model, the effect diagram corresponding to the current construction progress can be seen on the initial model in the form of a map without repeated updating, and when the construction is completed, the initial model is quickly updated according to the update package, and the modeling efficiency is improved.

[0057] 3. The corresponding relationship between the initial model and the reference model is judged by seamless fusion checking to determine whether the corresponding relationship meets the standard, so as to reduce the data loss and data anomaly in the updating process. BRIEF DESCRIPTION OF DRAWINGS

[0058] Figure 1 is a schematic diagram of the overall process of the embodiment of the present application. DETAILED DESCRIPTION

[0059] The following will be described in detail with reference to the accompanying drawings. Figure 1This application will be described in further detail.

[0060] This application discloses a method for three-dimensional modeling of underground space.

[0061] like Figure 1 As shown, a method for three-dimensional modeling of underground space includes the following steps:

[0062] S100, Obtain initial exploration information for underground space.

[0063] Initial reconnaissance information for underground space consists of survey data recorded and uploaded by construction personnel after conducting preliminary surveys of the underground space. This includes data mapped using He Lei's professional spatial mapping tools and data from various manual surveys.

[0064] In the initial upload phase, the processing module can automatically generate a survey information record template based on past survey experience. Construction personnel or surveyors can then fill in the corresponding survey information according to the template and upload it to the server.

[0065] S200: The initial exploration information of underground space is classified according to a preset classification method to obtain several sub-classification information.

[0066] Exploration information is often classified in different ways, such as basic information, location information, borehole information, surrounding rock type information, soil layer information, tunnel information, underground pipelines, foundations, etc. Each piece of information should be appropriately classified according to its corresponding type.

[0067] It can also directly generate sub-categories based on the information on the template. In other words, the various areas on the template are pre-categorized, and the information filled into that area is automatically categorized into its corresponding category.

[0068] The classification method can be adjusted appropriately based on historical data analysis to determine which data belongs to which categories.

[0069] S300, an initial model of underground space is established based on several sub-categories of information.

[0070] Based on the preliminary survey data of the underground space, BIM is used to create a model. In addition to BIM, the method in this application also supports the use of CAD, two-dimensional vector, oblique photogrammetry three-dimensional model, traditional manual three-dimensional model, Geo3DGML and other methods to create the model.

[0071] Specifically, it also includes the following steps:

[0072] S310, obtain the attribute information corresponding to several categories of sub-information.

[0073] S320, partition the underground space initial model according to the attribute information to obtain a plurality of sub-unit models.

[0074] S330, thinning and grading the plurality of sub-unit models to obtain invisible information and filtering.

[0075] The modeling grid data of underground space in an engineering is often very large. By dividing the large amount of three-dimensional model into scattered and spatially connected small data, that is, sub-unit modules through different attributes, and storing them in different logical units, the maximum utilization of storage resources is achieved. Not only the storage effect is improved, but also the efficiency of underground space analysis is further improved.

[0076] Thinning and grading is essentially data compression. The feature points of the line segment are obtained, and the point data that constitutes the line segment is extracted according to the specified accuracy requirement, so that the subset corresponding to the line segment is approximately the original line segment in performance, and the subset is as small as possible relative to the original set, that is, as little as possible in data amount.

[0077] By thinning and grading the plurality of sub-unit models, the data that is invisible in the three-dimensional direction is filtered, and the coarsest level of spatial data is determined for processing, thereby reducing the data amount and improving the operation efficiency.

[0078] S400, obtaining stable entropy values corresponding to a plurality of classified sub-information according to a preset assignment library.

[0079] The stable entropy value represents the possibility that a certain classified sub-information is stable in category and data without modification during the entire construction process.

[0080] Each classified information will appear different number of modifications from the preliminary survey to the subsequent continuous survey process. Underground space is different from aboveground space. When construction is carried out in aboveground space, there are not many variables that need to be modified in subsequent construction and survey information, but underground space is more complex, mixed with different soil layers, surrounding rock, underground water, etc. Therefore, some variables change with the construction progress of different stages.

[0081] The stable entropy value corresponding to each classified information, that is, the probability value of modification of the classified sub-information, is stored in the corresponding assignment library in advance. When the classified sub-information is divided from the initial survey information of underground space, the stable entropy value corresponding to the different classified sub-information is found in the assignment library.

[0082] For example, the information such as foundation and location is set in advance during the initial construction period, and the possibility of modification is small, so the stable entropy value is relatively high. The information such as surrounding rock and underground water is modified with the deepening of excavation, and the possibility of modification is large, so the stable entropy value is relatively low.

[0083] S500, judging whether the stability entropy value of the classified sub-information is greater than a preset value, if less than, marking the underground space initial model and the member corresponding to the classified sub-information to obtain non-stable member information.

[0084] If the stability entropy value of the classified sub-information is greater than the preset value, it means that the classified sub-information is relatively stable, and the possibility of modifying the data is relatively small according to the stability entropy value obtained from the previous construction analysis. If the stability entropy value of the classified sub-information is less than the preset value, it means that the classified sub-information is unstable, and it has a high probability of being modified with the progress of the subsequent survey and excavation. Therefore, the classified sub-information needs to be marked at this time to obtain the corresponding non-stable member information.

[0085] The non-stable member information includes short-term non-stable member information and long-term non-stable member information.

[0086] Specifically, it further includes:

[0087] If the non-stable member information is short-term non-stable member information, a first color is marked on the corresponding member.

[0088] If the non-stable member information is long-term non-stable member information, a second color is marked on the corresponding member.

[0089] The first color and the second color are different, for example, the first color can be blue and the second color can be red. The non-stable member information after the initial survey is marked in the three-dimensional model by different colors, so that the designer can quickly find out which members are unstable.

[0090] S600, obtaining all non-stable member information, and generating an underground space reference model according to the non-stable member information.

[0091] All non-stable member information is obtained, and a new underground space model is generated according to the member information, which 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 non-stable members, and there is no stable member.

[0092] S700, obtaining underground space continuous survey information, and marking the classified sub-information with a stability entropy value less than a preset value in the underground space continuous survey information to obtain new non-stable member information, and updating the underground space reference model according to the new non-stable member information, and updating the underground space initial model according to the classified sub-information with a stability entropy value greater than the preset value.

[0093] If new survey information is generated and uploaded in the deep excavation process as the construction is carried out, the stable entropy values of various classified sub-information in the underground space continuous survey information need to be judged again, and the classified sub-information with a stable entropy value less than the preset value is sent to the underground space reference model for more recent update, and the classified sub-information with a stable entropy value greater than the preset value is sent to the underground space initial model for update.

[0094] Through this method, a reference three-dimensional model is set, and any data with poor stability is modified in the reference model with less data, and the underground space initial model has a large amount of data, so only some data with high stability is updated, and because the classified information has high stability, the modification frequency is relatively low, thereby reducing the workload of the computer and avoiding repeated data update on the model drawing with a large amount of data.

[0095] Further, it specifically includes:

[0096] S710, whether the marking frequency of the classified sub-information is greater than the preset value.

[0097] S720, if the marking frequency of the classified sub-information is less than the preset value, the marking frequency is inversely proportional to the stable entropy value corresponding to the classified sub-information, the more the marking frequency, the lower the stable entropy value, and the less the marking frequency, the higher the stable entropy value.

[0098] S730, if the marking frequency of the classified sub-information is greater than the preset value, the marking frequency is proportional to the stable entropy value corresponding to the classified sub-information, the more the marking frequency, the higher the stable entropy value, and the more the marking frequency, the lower the stable entropy value.

[0099] When new underground space continuous survey information is received due to new construction progress, some classified sub-information will be marked multiple times, that is, modified multiple times, and then it is further judged whether the marking frequency is greater than the preset frequency. If it is greater, it means that the classified sub-information has been modified many times, and then the possibility of subsequent modification of the classified information will be correspondingly low, otherwise, if the marking frequency of the classified information is less than the preset value, it means that the classified sub-information has not been modified many times, and then it means that the possibility of modification of the classified information is greater.

[0100] For example, a classified sub-information has a low initial stable entropy value, and it is likely to be modified multiple times, and when the classified sub-information has been modified and marked more than the preset number of times, such as 10 times, the possibility of its modification is relatively low compared to 1 time, and then the corresponding stable entropy value will be larger, and relatively more stable.

[0101] And a classification of initial information sub-stable entropy value is higher, which shows that this data is relatively stable, but if this value is modified 1 times, 2 times, 3 times, then its stability will also be appropriately reduced, so when the modification times is less, with the increase of the marking times, its stable entropy value is more and more small. And when its stable entropy value is continuously reduced and lower than the preset value, it becomes unstable data, generating non-stable component information.

[0102] Also includes:

[0103] S740, the new non-stable component information is packaged to generate a reference variable update package.

[0104] S750, the reference variable update package is sent to the cloud database corresponding to the initial model of underground space for storage.

[0105] S760, according to the reference variable update package, the corresponding update map and position information are generated.

[0106] S770, according to the position information, the update map is pasted on the corresponding position of the initial model of underground space.

[0107] All new non-stable component information is packaged to generate a reference variable update package, and each time new non-stable component information appears, it is added to the update package and put into the cloud database corresponding to the initial model.

[0108] According to the component information in the update package, the corresponding map and the position of the map are generated, and the map is pasted on the initial model.

[0109] In this way, each time the reference model is updated according to the non-stable component information, the updated content will be packaged and saved, which facilitates the quick updating of the initial model after the subsequent survey is completed. The map is used to display the current model for the convenience of the designer to view the future engineering effect drawing of the BIM three-dimensional model after time dimension promotion and rendering, without putting the unstable data into the initial model for modeling, reducing the workload.

[0110] Also includes:

[0111] S780, if the stable entropy value of the underground space continuous survey information is greater than the preset value of the classification sub-information and the non-stable component information in the initial survey information of underground space belongs to the same classification, the initial model of underground space is updated according to the stable entropy value greater than the preset value of the classification sub-information, and the marking of the corresponding non-stable component information is needed.

[0112] If the stable entropy value of a classification sub-information is greater than the preset value after multiple modifications, it means that the classification sub-information has changed from unstable to stable, and then it is judged whether the component corresponding to the classification sub-information and the unstable classification information in the initial survey information of the underground space are the same classification, if yes, the mark of the classification information is cancelled, which means that it has become a more stable component, and the information of the same classification as the classification information is directly modified on the initial model.

[0113] S800, a construction task progress node is acquired, and an underground space final model formed by combining the underground space reference model of the underground space initial model is acquired according to the construction task progress node.

[0114] Specifically, it includes:

[0115] S810, first modeling information of the underground space initial model is acquired.

[0116] S820, second modeling information of the underground space reference model is acquired.

[0117] S830, it is judged whether the first modeling information and the second modeling information are seamlessly fused.

[0118] S840, if yes, the latest reference variable update package in the cloud database corresponding to the underground space initial model is acquired, and the underground space initial model is fused and updated according to the reference variable update package to obtain the underground space final model.

[0119] S850, if no, a corresponding abnormal instruction is issued.

[0120] The first modeling information and the second modeling information are both model parameters in the modeling process, which include data parameters, classification sub-information, component information, environment information, facility information and the like.

[0121] The seamless fusion refers to that two modeling models have a space-time correlation relationship, and after mapping, the two models can be merged and fused on a reference surface, and the generated underground space final model has a unified coordinate system and a unified scale.

[0122] If the two models can be fused, it means that the correlation between the two models is maintained during the updating process, and there is no updating error, and at this time, the two models are fused to obtain a final underground space model.

[0123] The fusion method includes Boolean operation, DEM editing, spatial correction, three-dimensional rendering and the like.

[0124] The Boolean operation is realized by a three-dimensional body Boolean operation tool, and realizes seamless integration and accurate expression of three-dimensional models of spatial elements such as geological environment, underground pipeline, underground civil air defense facility, underground traffic facility and underground shopping mall.

[0125] The DEM is a data set of planar coordinates and elevations of regular grid points in a certain range, and is mainly used for describing the spatial distribution of regional landform morphology. The DEM editing is formed by data collection through contour lines or similar solid models, and then data interpolation.

[0126] The spatial correction uses a spatial correction tool to map the underground full-space big data with multiple, multi-scale, multi-semantic, multi-modal and other characteristics to a unified space, and construct the spatio-temporal object association relationship under the unified space-time reference.

[0127] If the underground space initial model and the underground space reference model cannot be seamlessly integrated, it means that there is data loss, data anomaly and the like in the updating process, and corresponding abnormal instructions need to be issued to remind the corresponding designers to check.

[0128] The application also discloses an underground space three-dimensional modeling system, which comprises a processing module, a modeling module and an assignment library.

[0129] The processing module is used for acquiring underground space initial survey information and classifying the underground space initial survey information according to a preset classification method to obtain a plurality of classified sub-information; and the modeling module is used for three-dimensional modeling according to the plurality of classified sub-information to obtain an underground space initial model.

[0130] The assignment library is preset with stable entropy values corresponding to the plurality of classified sub-information, and the processing module is further used for obtaining the stable entropy values corresponding to the plurality of classified sub-information according to the preset assignment library, wherein the stable entropy value represents the possibility that the category and value of a certain classified sub-information are stable and do not change in the whole construction process.

[0131] The processing module judges whether the stable entropy values of the plurality of classified sub-information are greater than a preset value.

[0132] If the stable entropy values are less than the preset value, the underground space initial model and the member corresponding to the classified sub-information are marked to obtain non-stable member information.

[0133] All non-stable member information is acquired, the modeling module generates an underground space reference model according to the non-stable member information, continuous underground space survey information is acquired, and the classified sub-information with a stable entropy value less than the preset value in the continuous underground space survey information is marked to obtain new non-stable member information, and the underground space reference model is updated according to the new non-stable member information, and the underground space initial model is updated according to the classified sub-information with a stable entropy value greater than the preset value.

[0134] The processing module is further configured to acquire a construction task progress node, the construction task progress node being indicative of a time point at which the survey information is received each time, and acquire an underground space final model combined from the underground space initial model and the underground space reference model according to the construction task progress node.

[0135] The application further discloses a computer storage medium, which stores a computer program, and the computer program is executed by a processor to implement the underground space three-dimensional modeling processing method.

[0136] Implementation effects:

[0137] Through the above method, the data with high stability and the data with low stability are classified, an initial model is generated according to the first survey result, a reference model is generated according to the data with low stability, and in the data information in the subsequent survey process, the data with low stability is input into the reference model for updating, and the data with high stability is input into the initial model for updating. In this way, the data modified multiple times along with the construction process can be updated in the reference model with a relatively low data amount, the calculation amount of the computer is reduced, an update package and a corresponding map of the reference model are generated, the effect diagram corresponding to the current construction progress can be seen on the initial model in the form of the map, and repeated updating is not needed. When the construction is completed, the initial model is quickly updated according to the update package, and the modeling efficiency is improved.

[0138] The above are preferred embodiments of the application, and are not intended to limit the protection scope of the application, so: equivalent changes made according to the structure, shape, principle of the application should be covered within the protection scope of the application.

Claims

1. A method of three-dimensional modeling of an underground space, characterized in that, The method comprises the following steps: obtaining initial survey information of underground space; classifying the initial survey information of underground space according to a preset classification method to obtain a plurality of classified sub-information; establishing an initial model of underground space according to the plurality of classified sub-information; obtaining stable entropy values corresponding to the plurality of classified sub-information from a preset assignment library, wherein the stable entropy values represent the possibility that the category and value of a certain classified sub-information are stable and do not change during the whole construction process; establishing the initial model of underground space according to the plurality of classified sub-information further comprises: obtaining attribute information corresponding to the plurality of classified sub-information; partitioning the initial model of underground space according to the attribute information to obtain a plurality of sub-unit models; thinning and grading the plurality of sub-unit models to obtain invisible information and perform filtering, wherein the invisible information represents spatial data that is invisible in three-dimensional directions; determining whether the stable entropy values of the plurality of classified sub-information are greater than a preset value; if the stable entropy values are less than the preset value, marking the initial model of underground space and components corresponding to the classified sub-information to obtain unstable component information; obtaining all the unstable component information and generating a reference model of underground space according to the unstable component information; obtaining continuous survey information of underground space, marking classified sub-information with stable entropy values less than a preset value in the continuous survey information of underground space to obtain new unstable component information, updating the reference model of underground space according to the new unstable component information, and updating the initial model of underground space according to classified sub-information with stable entropy values greater than the preset value; obtaining construction task progress nodes representing time points at which survey information is received each time, and obtaining a final model of underground space combined from the initial model of underground space and the reference model of underground space according to the construction task progress nodes.

2. The method of claim 1, wherein, if the stable entropy values are less than the preset value, marking the initial model of underground space and components corresponding to the classified sub-information to obtain unstable component information, wherein the unstable component information comprises short-term unstable component information and long-term unstable component information, and the method comprises the following steps: if the unstable component information is short-term unstable component information, marking a first color on the corresponding components; if the unstable component information is long-term unstable component information, marking a second color on the corresponding components.

3. The method of claim 1, wherein: obtaining continuous survey information of underground space, marking classified sub-information with stable entropy values less than a preset value in the continuous survey information of underground space to obtain new unstable component information, and the method comprises the following steps: determining whether the marking frequency of the classified sub-information is greater than a preset value; if the marking frequency of the classified sub-information is less than the preset value, the marking frequency is inversely proportional to the stable entropy value corresponding to the classified sub-information, the more the marking frequency, the lower the stable entropy value, and the less the marking frequency, the higher the stable entropy value; If the marking number of the classified sub-information is greater than a preset value, the marking number is proportional to the stable entropy value corresponding to the classified sub-information, the more the marking number is, the higher the stable entropy value is, the more the marking number is, the lower the stable entropy value is.

4. The method of claim 1, wherein: The method further comprises the following steps of: packing the new non-stable 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 a corresponding update map and position information according to the reference variable update package; pasting the update map on a corresponding position of the underground space initial model according to the position information.

5. The method of claim 1, wherein: Meanwhile, the underground space initial model is updated according to the classified sub-information with the stable entropy value greater than the preset value, comprising the following steps: if the classified sub-information with the stable entropy value greater than the preset value and the non-stable component information in the underground space initial survey information belong to the same classification, the underground space initial model is updated according to the classified sub-information with the stable entropy value greater than the preset value and the marking of the non-stable component information corresponding thereto is cancelled. The underground space final model combined by the underground space initial model and the underground space reference model is obtained according to the construction task progress node, specifically comprising:

6. The method of claim 1, wherein: obtaining first modeling information of the underground space initial model; obtaining second modeling information of the underground space reference model; determining whether the first modeling information and the second modeling information are seamlessly fused; if yes, obtaining the latest reference variable update package in the cloud database corresponding to the underground space initial model, and fusing and updating the underground space initial model according to the reference variable update package to obtain the underground space final model; if no, issuing a corresponding abnormal instruction. The fusion update of the underground space initial model according to the reference variable data package at least comprises the following methods: Boolean operation, DEM editing, spatial correction and three-dimensional rendering.

7. The method of claim 6, wherein: comprising:

8. An underground space 3D modeling system characterized by, a processing module, a modeling module and an assignment library, wherein the processing module is used to obtain underground space initial survey information and classify the underground space initial survey information according to a preset classification method to obtain a plurality of classified sub-information; the modeling module is used to perform three-dimensional modeling according to a plurality of classified sub-information to obtain an underground space initial model; the assignment library is preset with a plurality of stable entropy values corresponding to the classified sub-information, and the processing module is further used to obtain a plurality of stable entropy values corresponding to the classified sub-information according to the preset assignment library, wherein the stable entropy value represents the possibility that a certain classified sub-information is stable in category and value without modification in the whole construction process; the underground space initial model is further established according to a plurality of classified sub-information, comprising the following steps: obtaining attribute information corresponding to a plurality of classified sub-information; partitioning the underground space initial model according to the attribute information to obtain a plurality of sub-unit models; ​ The sub-unit models are thinned and graded to obtain invisible information and filtering, and the invisible information is characterized by spatial data invisible in three-dimensional directions; The processing module judges whether the stable entropy values of the classified sub-information are greater than a preset value; If not, the underground space initial model is marked with the member corresponding to the classified sub-information to obtain non-stable member information; All the non-stable member information is obtained, the modeling module generates an underground space reference model according to the non-stable member information, underground space continuous survey information is obtained, the classified sub-information with a stable entropy value less than a preset value in the underground space continuous survey information is marked to obtain new non-stable member information, the underground space reference model is updated according to the new non-stable member information, and the underground space initial model is updated according to the classified sub-information with a stable entropy value greater than a preset value; the processing module is also used to obtain a construction task progress node, the construction task progress node is characterized by a time point at which survey information is received each time, and an underground space final model combined from the underground space initial model and the underground space reference model is obtained according to the construction task progress node.

9. A computer storage medium having stored thereon a computer program, characterized in that: The computer program is executed by a processor to implement the underground space three-dimensional modeling processing method in any one of claims 1 to 8.

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