Underground space characteristic analysis method based on three-dimensional geologic model and related device

Abstract

The embodiment of the invention relates to the field of data processing, and provides an underground space characteristic analysis method based on a three-dimensional geologic model and a related device, and the method comprises the steps: obtaining soil attribute information and geologic structure information of an underground space region of a working region; constructing a three-dimensional geologic model according to the geologic structure information and the soil attribute information; determining earth surface building data of the working area; and determining the space occupation characteristic information of the underground space area of the working area according to the earth surface building data and the three-dimensional geologic model, so that the space occupation characteristic information of the underground space area can be determined based on the constructed three-dimensional geologic model and the earth surface building data, and the accuracy of determining the space occupation characteristic information is improved.

Description

Technical Field

[0001] The present application relates to the technical field of data processing, and in particular to a method and related device for analyzing underground space characteristics based on a three-dimensional geological model. Background Art

[0002] With the development of urban geological research, the research objects gradually show a development trend towards "two poles" of macroscopic and microscopic. Macroscopic geological problems mainly focus on the spatio-temporal variation characteristics of large-scale geological laws; microscopic geological problems mainly focus on the mechanism of geological phenomena (problems) at fine scales. The previous analysis mode based on a two-dimensional plane cannot provide a more refined technical method for solving these urban geological problems, resulting in low accuracy in obtaining underground space characteristic information. Summary of the Invention

[0003] Embodiments of the present application provide a method and related device for analyzing underground space characteristics based on a three-dimensional geological model, which can determine the spatial occupancy characteristic information of the underground space area based on the constructed three-dimensional geological model and surface building data, and improve the accuracy in determining the spatial occupancy characteristic information.

[0004] In a first aspect of the embodiments of the present application, a method for analyzing underground space characteristics based on a three-dimensional geological model is provided. The method includes:

[0005] Obtain soil attribute information and geological structure information of the underground space area of the working area;

[0006] Construct a three-dimensional geological model according to the geological structure information and the soil attribute information;

[0007] Determine the surface building data of the working area;

[0008] Determine the spatial occupancy characteristic information of the underground space area of the working area according to the surface building data and the three-dimensional geological model.

[0009] In a possible implementation manner, the determining the surface building data of the working area includes:

[0010] Obtain high-resolution remote sensing data of landmark buildings in the working area;

[0011] Determine a morphological building index and a shadow index according to the high-resolution remote sensing data;

[0012] Determine the surface building data according to the morphological building index, the shadow index, and the position information of the acquisition device of the high-resolution remote sensing data.

[0013] In a possible implementation, determining the spatial occupancy characteristic information of the underground space area of the working area according to the surface building data and the three-dimensional geological model includes:

[0014] Determining the bedrock depth distribution information according to the three-dimensional geological model;

[0015] Extracting the building height information from the surface building data, and determining the building influence restriction quantity according to the surface building data;

[0016] Determining the spatial occupancy characteristic information according to the bedrock depth distribution information, the building height information, and the building influence restriction quantity.

[0017] In a possible implementation, determining the building influence restriction quantity according to the surface building data includes:

[0018] Determining the projected area of the building foundation influence range according to the landmark building data;

[0019] Extracting the building influence restriction depth of the landmark buildings in the working area;

[0020] Determining the building influence restriction quantity according to the projected area of the building foundation influence range and the building influence restriction depth.

[0021] In a possible implementation, the method further includes:

[0022] Performing filtering processing on the spatial occupancy characteristic information to obtain first spatial occupancy characteristic information;

[0023] Constructing a spatial occupancy map according to the first spatial occupancy characteristic information to obtain a first spatial occupancy map;

[0024] Performing used space segmentation processing on the first spatial occupancy map to obtain k pieces of reference used space information;

[0025] Determining target used space information from the k pieces of reference used space information according to the target construction information of the working area;

[0026] Displaying the target used space information.

[0027] A second aspect of the embodiments of the present application provides an underground space characteristic analysis device based on a three-dimensional geological model. The device includes:

[0028] An acquisition unit, configured to acquire soil attribute information and geological structure information of the underground space area of the working area;

[0029] A construction unit, configured to construct a three-dimensional geological model according to the geological structure information and the soil attribute information;

[0030] A first determination unit, configured to determine surface building data of a working area;

[0031] A second determination unit, configured to determine spatial occupancy characteristic information of an underground space area of the working area according to the surface building data and the three-dimensional geological model.

[0032] In a possible implementation manner, the first determination unit is specifically configured to:

[0033] Obtain high-resolution remote sensing data of landmark buildings in the working area;

[0034] Determine a morphological building index and a shadow index according to the high-resolution remote sensing data;

[0035] Determine the surface building data according to the morphological building index, the shadow index, and position information of a collection device of the high-resolution remote sensing data.

[0036] In a possible implementation manner, in terms of determining the spatial occupancy characteristic information of the underground space area of the working area according to the surface building data and the three-dimensional geological model, the first determination unit is specifically configured to:

[0037] Determine bedrock burial depth distribution information according to the three-dimensional geological model;

[0038] Extract building height information from the surface building data, and determine a building influence constraint quantity according to the surface building data;

[0039] Determine the spatial occupancy characteristic information according to the bedrock burial depth distribution information, the building height information, and the building influence constraint quantity.

[0040] In a possible implementation manner, in terms of determining the building influence constraint quantity according to the surface building data, the first determination unit is specifically configured to:

[0041] Determine a projected area of a building foundation influence range according to the landmark building data;

[0042] Extract a building influence constraint depth of landmark buildings in the working area;

[0043] Determine the building influence constraint quantity according to the projected area of the building foundation influence range and the building influence constraint depth.

[0044] In a possible implementation manner, the apparatus is further configured to:

[0045] Perform filtering processing on the spatial occupancy characteristic information to obtain first spatial occupancy characteristic information;

[0046] Construct a space occupancy map according to the first space occupancy characteristic information to obtain a first space occupancy map;

[0047] Perform usage space segmentation processing on the first space occupancy map to obtain k pieces of reference usage space information;

[0048] Determine target usage space information from the k pieces of reference usage space information according to the target construction information of the work area;

[0049] Display the target usage space information.

[0050] A third aspect of the embodiments of the present application provides a terminal, including a processor, an input device, an output device, and a memory. The processor, the input device, the output device, and the memory are interconnected. Among them, the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the step instructions in the first aspect of the embodiments of the present application.

[0051] A fourth aspect of the embodiments of the present application provides a computer-readable storage medium. Among them, the computer-readable storage medium stores a computer program for electronic data exchange. Among them, the computer program enables a computer to execute some or all of the steps described in the first aspect of the embodiments of the present application.

[0052] A fifth aspect of the embodiments of the present application provides a computer program product. Among them, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute some or all of the steps described in the first aspect of the embodiments of the present application. This computer program product can be a software installation package.

[0053] Implementing the embodiments of the present application has the following beneficial effects:

[0054] By obtaining the soil property information and geological structure information of the underground space area of the work area, constructing a three-dimensional geological model according to the geological structure information and the soil property information, determining the surface building data of the work area, and determining the space occupancy characteristic information of the underground space area of the work area according to the surface building data and the three-dimensional geological model. Therefore, it is possible to determine the space occupancy characteristic information of the underground space area based on the constructed three-dimensional geological model and surface building data, improving the accuracy when determining the space occupancy characteristic information. Description of the Drawings

[0055] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0056] Figure 1 This is a schematic flowchart of a method for analyzing the characteristics of underground space based on a three-dimensional geological model provided by an embodiment of the present application;

[0057] Figure 2 This is a schematic diagram of a reference three-dimensional stratigraphic model provided by an embodiment of the present application;

[0058] Figure 3 This is a schematic structural diagram of a terminal provided by an embodiment of the present application;

[0059] Figure 4 This is a schematic structural diagram of a device for analyzing the characteristics of underground space based on a three-dimensional geological model provided by an embodiment of the present application. Detailed implementation manners

[0060] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0061] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products, or devices.

[0062] Referring to "embodiments" in the present application means that the specific features, structures, or characteristics described in connection with the embodiments may be included in at least one embodiment of the present application. The phrase appears in various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described in the present application may be combined with other embodiments.

[0063] To better understand a method for analyzing the characteristics of underground space based on a three-dimensional geological model provided in an embodiment of the present application, the following first briefly introduces the method for analyzing the characteristics of underground space in the existing solution. In the existing solution, when analyzing the characteristics of underground space, a two-dimensional plane-based analysis mode is usually adopted to extract the characteristics of underground space. However, since the two-dimensional plane cannot provide a more refined technical method, the accuracy of obtaining underground space feature information is relatively low.

[0064] Aiming at solving the above problems, an embodiment of the present application provides a method for analyzing the characteristics of underground space based on a three-dimensional geological model, which can determine the spatial occupancy characteristic information of the underground space area based on the constructed three-dimensional geological model and surface building data, improving the accuracy of determining the spatial occupancy characteristic information.

[0065] Please refer to Figure 1 , Figure 1 which is a schematic flowchart of a method for analyzing the characteristics of underground space based on a three-dimensional geological model provided in an embodiment of the present application. As Figure 1 shown, the method includes:

[0066] 101. Obtain the soil property information and geological structure information of the underground space area in the working area.

[0067] Among them, the soil property information may include soil body properties, soil body states, and lithologies. Specific soil body properties include cohesive soil, silt, sand, cobbles, etc., soil body states include the softness and hardness of cohesive soil, and the density of silt and sand, and lithologies include sandstone, mudstone, limestone, etc. The geological structure information includes the geological structure formed by genetic types such as the sedimentation age and intrusion law of rock and soil masses.

[0068] 102. Construct a three-dimensional geological model according to the geological structure information and the soil property information.

[0069] When constructing a three-dimensional geological model, it is also necessary to obtain the borehole data of the working area, and then construct a three-dimensional stratigraphic model in combination with the surface elevation data. After constructing the three-dimensional stratigraphic model, the three-dimensional geological model is constructed in combination with the geological structure information and the soil property information, thereby obtaining the three-dimensional geological model.

[0070] Specifically, the three-dimensional stratigraphic model can be assigned values according to the geological structure information and the soil property information to obtain a reference three-dimensional geological model; then interpolation processing is performed on the reference three-dimensional geological model to obtain the three-dimensional geological model.

[0071] The three-dimensional geological model can express parameters such as water content, void ratio, cohesion, internal friction angle, permeability coefficient, dynamic penetration number, standard penetration number, etc. at any position in the corresponding three-dimensional space.

[0072] A specific method for constructing a three-dimensional stratum model is as follows: extract a preset finite difference network; perform value assignment processing on the preset finite difference network according to the borehole data to obtain a reference three-dimensional stratum model; then perform interpolation processing on the reference three-dimensional geological model to obtain a three-dimensional stratum model.

[0073] Among them, after obtaining the preset finite difference network, a convex hull grid can be constructed in the preset finite difference network. Each unit of the convex hull grid can have different sizes and directions. The convex hull of a set of points in a two-dimensional space is the smallest convex region containing the set. The finite difference grid and the rectangular grid can construct regular grid cells according to the given grid accuracy. The construction rules, grid accuracy, etc. can be determined according to the borehole data. The reference three-dimensional stratum model can be referred to Figure 2 as shown. When performing interpolation processing, the specific interpolation formula can be:

[0074]

[0075] In the formula, Z * (p 0 ) is the estimated value at point p 0 ; N is the number of sample points used for interpolation in the neighborhood; Z(p i ) is the measured value at sample point p i ; w i is the weight contributed by the i-th sample point to the estimated p 0 point, which can be obtained by the variogram and solving the Kriging equations. Point p 0 is the reference point.

[0076] The method of performing interpolation processing on the reference three-dimensional geological model to obtain a three-dimensional geological model can be processed by using a general interpolation processing method to obtain a three-dimensional geological model, or it can also be processed by referring to the interpolation processing method in the foregoing embodiments to obtain a three-dimensional geological model.

[0077] 103. Determine the surface building data of the working area.

[0078] Among them, high-resolution remote sensing data of landmark buildings in the working area can be obtained, and the surface building data can be determined according to the high-resolution remote sensing data. Specifically, the high-resolution remote sensing data can be obtained through satellites, etc.

[0079] 104. Determine the spatial occupancy characteristic information of the underground space area of the working area according to the surface building data and the three-dimensional geological model.

[0080] Among them, the bedrock burial depth distribution information can be determined according to the three-dimensional geological model, and the building height information can be extracted from the surface building data information and the building influence restriction amount can be calculated. Finally, according to the bedrock burial depth distribution information, the building height information and the building influence restriction amount, the space occupancy characteristic information is determined, so that the accuracy of determining the space occupancy characteristic information can be improved.

[0081] In this example, by obtaining the soil property information and geological structure information of the underground space area of the working area, constructing a three-dimensional geological model according to the geological structure information and the soil property information, determining the surface building data of the working area, and determining the space occupancy characteristic information of the underground space area of the working area according to the surface building data and the three-dimensional geological model. Therefore, the space occupancy characteristic information of the underground space area can be determined based on the constructed three-dimensional geological model and surface building data, and the accuracy of determining the space occupancy characteristic information is improved.

[0082] In a possible implementation manner, the determining the surface building data of the working area includes:

[0083] A1. Obtain the high-resolution remote sensing data of the landmark buildings in the working area;

[0084] A2. Determine the morphological building index and shadow index according to the high-resolution remote sensing data;

[0085] A3. Determine the surface building data according to the morphological building index, the shadow index and the position information of the acquisition device of the high-resolution remote sensing data.

[0086] Among them, high-resolution remote sensing data can be obtained through satellites, etc. After obtaining the high-resolution remote sensing data, it is necessary to perform remote sensing image preprocessing on it to obtain the preprocessed high-resolution remote sensing data. The preprocessed high-resolution remote sensing data is used to determine the morphological building index and shadow index, and multi-scale optimization segmentation and object-oriented classification techniques are combined to extract the building and its shadow contours in the high-resolution remote sensing image. On the basis of building shadow extraction, create a class description of the building and select features such as MBI, area, brightness and inter-class distance. Manually interactively select thresholds according to the above feature rules, and use the decision tree analysis method for building extraction. According to the selected object features and their thresholds, extract the shadow and the building in the order of object extraction. The building height information needs to be inversely obtained based on the imaging geometric relationship of the sun, satellite, building and shadow, so as to finally obtain the surface building data.

[0087] In a possible implementation manner, the determining the space occupancy characteristic information of the underground space area of the working area according to the surface building data and the three-dimensional geological model includes:

[0088] B1. Determine the bedrock depth distribution information according to the three-dimensional geological model;

[0089] B2. Extract the building height information from the surface building data, and determine the building influence constraint quantity according to the surface building data;

[0090] B3. Determine the space occupancy characteristic information according to the bedrock depth distribution information, the building height information and the building influence constraint quantity.

[0091] Among them, the bedrock depth distribution information can be extracted from the three-dimensional geological model.

[0092] The surface building data includes building height information, so that the building height information can be extracted from the surface building data. The building influence constraint quantity can be calculated based on the surface building data. For example, the building influence constraint quantity can be calculated according to the projected area of the building foundation influence range determined from the landmark building data and the building influence constraint depth.

[0093] A preset space occupancy characteristic information calculation model can be used to determine the space occupancy characteristic information according to the bedrock depth distribution information, the building height information and the building influence constraint quantity. The preset space occupancy characteristic information calculation model is a pre-trained model for calculating space occupancy characteristic information.

[0094] In a possible implementation manner, the determining the building influence constraint quantity according to the surface building data includes:

[0095] C1. Determine the projected area of the building foundation influence range according to the landmark building data;

[0096] C2. Extract the building influence constraint depth of the landmark building in the working area;

[0097] C3. Determine the building influence constraint quantity according to the projected area of the building foundation influence range and the building influence constraint depth.

[0098] Among them, it can be calculated according to the landmark building data by using a general method for calculating the projected area of the building foundation influence range.

[0099] The following formula can be used to determine the building influence constraint quantity:

[0100] H h =(1.5 - 3.0)Sh x ;

[0101] Among them, H his the building influence restriction amount (m 3 ); S is the projected area of the building foundation influence range (m 2 ); h x is the building influence restriction depth (m).

[0102] In a possible implementation, the method further includes:

[0103] D1. Filter the space occupancy characteristic information to obtain first space occupancy characteristic information;

[0104] D2. Construct a space occupancy map according to the first space occupancy characteristic information to obtain a first space occupancy map;

[0105] D3. Perform usage space segmentation processing on the first space occupancy map to obtain k pieces of reference usage space information;

[0106] D4. Determine target usage space information from the k pieces of reference usage space information according to the target construction information of the work area;

[0107] D5. Display the target usage space information.

[0108] Among them, an outlier filtering processing method can be used to filter the space occupancy characteristic information to obtain the first space occupancy characteristic information. Specifically, median filtering, mean filtering, etc. can be performed on the space occupancy characteristic information to filter the information and obtain the first space occupancy characteristic information.

[0109] When constructing the space occupancy map, the first space occupancy characteristic information can be used in combination with the bedrock burial depth distribution map and the building height map for construction to obtain the space occupancy map. A general space occupancy map construction method can be used for construction to obtain the first space occupancy map.

[0110] After constructing the first space occupancy map, the first space occupancy map can be processed by using space segmentation to obtain k pieces of reference usage space information. When specifically performing the segmentation process, it can be based on the occupied space areas in the first space occupancy map for segmentation. For example, it can be to extract the envelope areas formed between the occupied space areas to obtain m envelope areas. Extract the shape information and volume of each envelope area to obtain m pieces of reference area attribute information; obtain the similarity between the m pieces of reference area attribute information and the preset area attribute information to obtain m similarities; extract k first similarities higher than the preset similarity threshold from the m similarities; use the reference area attribute information corresponding to the k first similarities to segment the first space occupancy map to obtain k pieces of reference usage space information. Thus, some areas with low space utilization and high development difficulty can be removed, improving the accuracy and efficiency of subsequent processing. The preset area attribute information is set through empirical values or historical data and is used to screen out areas that meet the basic usage requirements. Areas that meet the basic usage requirements can be understood as areas with low development difficulty and high space utilization.

[0111] After obtaining the k pieces of reference usage space information, the construction compatibility between the target construction information and the k pieces of reference usage space information can be obtained to obtain k target construction compatibilities; determine the reference usage space information corresponding to the maximum value among the k target construction compatibilities as the target usage space information.

[0112] The method for determining the target construction compatibility between the target construction information and the reference usage space information can be: determine the construction building information according to the target construction information; obtain the similarity between the construction building information and the reference usage space information to obtain the first similarity; obtain the soil quality information of the reference usage space corresponding to the reference usage space information; determine the reference construction compatibility according to the soil quality information and the first similarity; optimize the reference construction compatibility according to the construction cost information in the target construction information to obtain the target construction compatibility.

[0113] Specifically, the construction difficulty of different soil quality information during construction is different. Therefore, the construction difficulty information corresponding to the drawing information can be determined according to the mapping relationship between the preset soil quality information and the construction difficulty; determine the reference construction compatibility according to the construction difficulty information and the first similarity. The greater the construction difficulty, the lower the reference construction compatibility, and the smaller the construction difficulty, the higher the reference construction compatibility; the greater the first similarity, the greater the reference construction compatibility, and the smaller the first similarity, the lower the reference construction compatibility.

[0114] The higher the construction cost budget corresponding to the construction cost information, the higher the corresponding construction redundancy, and the greater the positive optimization of the construction fit. The lower the construction cost budget corresponding to the construction cost information, the lower the construction redundancy, and the smaller the positive optimization of the construction fit. Therefore, the reference construction fit can be optimized according to the construction cost information to obtain the target construction fit. Thus, the target usable space information can be accurately determined, improving the accuracy of subsequent construction and reducing the overall construction cost.

[0115] Consistent with the above embodiments, please refer to Figure 3 , Figure 3 which is a schematic structural diagram of a terminal provided by an embodiment of the present application. As Figure 3 shown, it includes a processor, an input device, an output device, and a memory. The processor, the input device, the output device, and the memory are interconnected. Among them, the memory is used to store a computer program, and the computer program includes program instructions. The processor is configured to call the program instructions, and the above program includes instructions for performing the following steps;

[0116] Obtain the soil property information and geological structure information of the underground space area of the working area;

[0117] Construct a three-dimensional geological model according to the geological structure information and the soil property information;

[0118] Determine the surface building data of the working area;

[0119] Determine the space occupancy characteristic information of the underground space area of the working area according to the surface building data and the three-dimensional geological model.

[0120] The above mainly introduces the solution of the embodiment of the present application from the perspective of the execution process on the method side. It can be understood that in order for the terminal to implement the above functions, it includes the corresponding hardware structure and / or software module for executing each function. Those skilled in the art should easily realize that, combining the units and algorithm steps of each example described in the embodiments provided in this article, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the way of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0121] Embodiments of the present application can divide the terminal into functional units according to the above method examples. For example, each functional unit can be divided corresponding to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. It should be noted that the division of units in the embodiments of the present application is illustrative, only a logical function division, and there can be other division methods in actual implementation.

[0122] Consistent with the above, please refer to Figure 4 , Figure 4 which is a schematic structural diagram of an underground space characteristic analysis device based on a three-dimensional geological model provided by an embodiment of the present application. As Figure 4 shown, the device includes:

[0123] An acquisition unit 301, configured to acquire soil attribute information and geological structure information of an underground space area in a working area;

[0124] A construction unit 302, configured to construct a three-dimensional geological model according to the geological structure information and the soil attribute information;

[0125] A first determination unit 303, configured to determine surface building data of the working area;

[0126] A second determination unit 304, configured to determine spatial occupancy characteristic information of the underground space area in the working area according to the surface building data and the three-dimensional geological model.

[0127] In a possible implementation manner, the first determination unit 303 is specifically configured to:

[0128] Acquire high-resolution remote sensing data of landmark buildings in the working area;

[0129] Determine a morphological building index and a shadow index according to the high-resolution remote sensing data;

[0130] Determine the surface building data according to the morphological building index, the shadow index, and the position information of the acquisition device of the high-resolution remote sensing data.

[0131] In a possible implementation manner, in terms of determining the spatial occupancy characteristic information of the underground space area in the working area according to the surface building data and the three-dimensional geological model, the first determination unit 303 is specifically configured to:

[0132] Determine bedrock depth distribution information according to the three-dimensional geological model;

[0133] Extract building height information from the surface building data, and determine the building influence restriction amount according to the surface building data;

[0134] Determine the spatial occupancy characteristic information according to the bedrock burial depth distribution information, the building height information, and the building influence restriction quantity.

[0135] In a possible implementation manner, in terms of determining the building influence restriction quantity according to the surface building data, the first determination unit 303 is specifically configured to:

[0136] Determine the projected area of the building foundation influence range according to the landmark building data;

[0137] Extract the building influence restriction depth of the landmark buildings in the work area;

[0138] Determine the building influence restriction quantity according to the projected area of the building foundation influence range and the building influence restriction depth.

[0139] In a possible implementation manner, the device is further configured to:

[0140] Perform filtering processing on the spatial occupancy characteristic information to obtain first spatial occupancy characteristic information;

[0141] Construct a spatial occupancy map according to the first spatial occupancy characteristic information to obtain a first spatial occupancy map;

[0142] Perform used space segmentation processing on the first spatial occupancy map to obtain k reference used space information;

[0143] Determine target used space information from the k reference used space information according to the target construction information of the work area;

[0144] Display the target used space information.

[0145] An embodiment of the present application further provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute some or all of the steps of any one of the underground space characteristic analysis methods based on a three-dimensional geological model as recorded in the above method embodiments.

[0146] An embodiment of the present application further provides a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program enables a computer to execute some or all of the steps of any one of the underground space characteristic analysis methods based on a three-dimensional geological model as recorded in the above method embodiments.

[0147] It should be noted that, for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0148] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0149] In the several embodiments provided by this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be in electrical or other forms.

[0150] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0151] In addition, the functional units in the respective embodiments of the application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software program modules.

[0152] If the integrated unit is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The aforementioned memory includes various media that can store program codes, such as USB flash drives, read-only memories (ROM), random access memories (RAM), mobile hard disks, magnetic disks, or optical discs.

[0153] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program. This program can be stored in a computer-readable memory, and the memory can include: flash drives, read-only memories, random access memories, magnetic disks, or optical discs, etc.

[0154] The above has introduced the embodiments of this application in detail. Specific examples are used in this article to elaborate on the principle and implementation manner of this application. The description of the above embodiments is only used to help understand the method and its core idea of this application; at the same time, for those of ordinary skill in the art, according to the idea of this application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to this application.

Claims

1. A method for analyzing underground space characteristics based on a three-dimensional geological model, characterized in that: The method comprises: Obtain soil property information and geological structure information of the underground space area of ​​the work area; Constructing a three-dimensional geological model according to the geological structure information and the soil property information; Determine the surface building data of the work area; The space occupancy characteristic information of the underground space area in the working area is determined based on the surface building data and the three-dimensional geological model.

2. The underground space characteristic analysis method based on a three-dimensional geological model according to claim 1, characterized in that: The surface building data of the work area is determined, including: Acquire high-resolution remote sensing data of landmark buildings in the work area; determining a morphological building index and a shadow index based on the high-resolution remote sensing data; The surface building data is determined according to the morphological building index, the shadow index and the location information of the acquisition equipment of the high-resolution remote sensing data.

3. The underground space characteristic analysis method based on three-dimensional geological model according to claim 2 is characterized in that: The determining of the space occupancy characteristic information of the underground space area of ​​the working area according to the surface building data and the three-dimensional geological model includes: Determining bedrock burial depth distribution information according to the three-dimensional geological model; Extracting building height information from the surface building data, and determining a building impact constraint amount based on the surface building data; The space occupancy characteristic information is determined according to the bedrock burial depth distribution information, the building height information and the building impact constraint amount.

4. The underground space characteristic analysis method based on three-dimensional geological model according to claim 3 is characterized in that: The determining of the building impact constraint amount according to the surface building data includes: Determine the projected area of ​​the building foundation influence range according to the landmark building data; Extracting the building impact constraint depth of the landmark buildings in the working area; The building influence restriction amount is determined according to the projected area of ​​the building foundation influence range and the building influence restriction depth.

5. The underground space characteristic analysis method based on a three-dimensional geological model according to any one of claims 1 to 4, characterized in that: The method further comprises: Performing filtering processing on the space occupancy characteristic information to obtain first space occupancy characteristic information; Constructing a space occupancy map according to the first space occupancy characteristic information to obtain a first space occupancy map; Performing a usage space segmentation process on the first space occupancy map to obtain k reference usage space information; Determine target usage space information from the k reference usage space information according to target construction information of the work area; Display the target usage space information.

6. An underground space characteristic analysis device based on a three-dimensional geological model, characterized in that: The device comprises: An acquisition unit, used to acquire soil property information and geological structure information of the underground space area of ​​the working area; A construction unit, used for constructing a three-dimensional geological model according to the geological structure information and the soil property information; A first determining unit, used to determine the surface building data of the working area; The second determining unit is used to determine the space occupancy characteristic information of the underground space area in the working area according to the surface building data and the three-dimensional geological model.

7. The underground space characteristic analysis method based on three-dimensional geological model according to claim 6 is characterized in that: The first determining unit is specifically configured to: Acquire high-resolution remote sensing data of landmark buildings in the work area; determining a morphological building index and a shadow index based on the high-resolution remote sensing data; The surface building data is determined according to the morphological building index, the shadow index and the location information of the acquisition equipment of the high-resolution remote sensing data.

8. The underground space characteristic analysis method based on a three-dimensional geological model according to claim 7, characterized in that: In determining the space occupancy characteristic information of the underground space area of ​​the working area according to the surface building data and the three-dimensional geological model, the first determining unit is specifically used to: Determining bedrock burial depth distribution information according to the three-dimensional geological model; Extracting building height information from the surface building data, and determining a building impact constraint amount based on the surface building data; The space occupancy characteristic information is determined according to the bedrock burial depth distribution information, the building height information and the building impact constraint amount.

9. A terminal, characterized in that: It includes a processor, an input device, an output device and a memory, which are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the underground space characteristic analysis method based on the three-dimensional geological model as described in any one of claims 1-5.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor, the processor executes the underground space characteristic analysis method based on a three-dimensional geological model as described in any one of claims 1-5.

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