Method for automatically judging shape suitability of construction land

Abstract

The invention relates to the field of construction land evaluation, and provides a construction land shape suitability automatic judgment method, which combines initial image information provided by a satellite map and actual image information and three-dimensional topographic data acquired by a high-precision camera carried by an aircraft and a laser radar. Accurate positioning of a construction land target area and accurate capturing of three-dimensional topographic features are realized. The slope value of each point in the target area is analyzed, the slope area is divided according to the preset slope range, and the stability of the building under different geological conditions is evaluated by combining the stratum lithology, the geological structure information and the size and shape information of the building. And further considering fault factors in the geological structure, and calculating the distance between the fault and the building, so as to finally evaluate the suitability of the shape of the construction land. The accuracy and efficiency of construction land evaluation are improved, reliable data support is provided for urban planning and construction, and automatic judgment of the shape suitability of the construction land is achieved.

Description

Technical Field

[0001] The present application relates to the field of construction land evaluation, and more specifically, to a method for automatically determining the shape suitability of construction land. Background Art

[0002] The contents of this section merely provide background information related to the present application and may not constitute prior art.

[0003] In the field of construction land planning and management, the traditional judgment of the suitability of construction land shape mainly relies on manual on-site surveys, geological report analysis, and two-dimensional drawing comparison. Although these methods can evaluate the suitability of construction land to a certain extent, they have many shortcomings.

[0004] First, manual survey is not only time-consuming and laborious, but also limited by the subjective experience and judgment of personnel, making it difficult to fully and accurately obtain detailed engineering geological information and terrain characteristics of construction land. Secondly, the traditional two-dimensional drawing comparison method cannot intuitively reflect the three-dimensional terrain data of the construction land, resulting in inaccurate evaluation of key factors such as slope and stratum lithology, which in turn affects the stability and safety of the building. In addition, the existing technology lacks a systematic evaluation model that comprehensively considers multiple factors such as geological conditions, building size and shape, and cannot accurately judge the suitability of the shape of the construction land for a specific building type. Especially when faced with complex geological structures, such as faults and other potential risk factors, the existing methods are often difficult to accurately assess their impact on the stability of the building, increasing the uncertainty and safety risks in the construction process. Therefore, there is an urgent need for an automatic judgment method for the suitability of the shape of construction land to overcome the shortcomings of the existing technology and improve the scientificity and efficiency of construction land planning. Summary of the invention

[0005] In order to solve the above technical problems, the purpose of this application is to provide a method for automatically judging the suitability of the shape of construction land, which can achieve rapid and accurate judgment of the suitability of the shape of construction land through remote sensing technology, three-dimensional terrain data analysis, and building stability assessment models.

[0006] The purpose of this application is achieved through the following technical solutions:

[0007] In a first aspect, the present invention provides a method for automatically determining the suitability of a construction land shape, comprising:

[0008] Obtain engineering geological information based on the exploration of construction land; obtain the size and shape information of the building to be constructed based on the type of construction land; obtain the initial image information of the construction land from satellite maps;

[0009] The actual image information of the construction land and the corresponding three-dimensional terrain data are obtained through the camera and lidar on the aircraft;

[0010] Compare the initial image information with the actual image information, and locate the target area where the initial image information is located in the actual image information;

[0011] Obtain the target three-dimensional terrain data corresponding to the target area from the three-dimensional terrain data, and calculate the slope values of each point in the target area according to the target three-dimensional terrain data; Divide the corresponding slope areas according to multiple slope ranges set by the planned use;

[0012] Obtain the formation lithology and geological structure of each slope area according to the engineering geological information; Obtain the rock parameters and soil parameters of each slope area according to the formation lithology corresponding to each slope area; Input the rock parameters, soil parameters and the size and shape information of the building into the building stability evaluation model to obtain a preliminary evaluation result; The building stability evaluation model includes the influence relationship of the stability of buildings with different sizes and shapes under different slope conditions, different rock parameters and soil parameters;

[0013] If the preliminary evaluation result is that the stability index is less than or equal to the threshold, output that the shape of the construction land is not suitable for construction; If the preliminary evaluation result is that the stability index is greater than the threshold, obtain the positions of the faults in each slope area according to the geological structure corresponding to each slope area, and calculate the distance between the faults and the building; When the distance is greater than the preset threshold, output that the shape of the construction land is suitable for construction; When the distance is less than or equal to the preset threshold, output that the shape of the construction land is not suitable for construction.

[0014] Furthermore, obtaining the size and shape information of the building to be constructed according to the category of the construction land further includes:

[0015] Query relevant building codes according to the urban planning area to which the construction land belongs to determine the building restrictions;

[0016] Select the corresponding building according to the building category and restrictions, and use the standard size and shape of the building as the size and shape information of the building to be constructed.

[0017] Furthermore, the step of comparing the initial image information with the actual image information specifically includes:

[0018] Define one or more sliding windows based on the size of the initial image information;

[0019] Slide the window on the actual image information, and compare the similarity of the image within the window with the initial image information region by region;

[0020] Calculate the similarity using the structural similarity index or peak signal-to-noise ratio, and select the region where the similarity exceeds the preset threshold as the target region.

[0021] Further, the step of calculating the slope value of each point in the target area according to the target three-dimensional terrain data specifically includes:

[0022] Establish a digital elevation model based on the target three-dimensional terrain data, and calculate the slope value of each point in the target area through the elevation difference between adjacent points.

[0023] Further, in the step of establishing a digital elevation model according to the target three-dimensional terrain data, it further includes:

[0024] Conduct a preliminary inspection on the obtained target three-dimensional terrain data, and identify and mark the vacant or missing parts in the data;

[0025] Adopt an interpolation algorithm to fill the vacant or missing parts to improve the continuity and accuracy of the digital elevation model.

[0026] Further, the formula of the building stability evaluation model is:

[0027]

[0028] Among them, R is the compressive strength of the rock, a is the coefficient corresponding to the rock compressive strength, S p is the internal friction angle of the soil, b is the coefficient corresponding to the soil internal friction angle, D is the dimension parameter of the building, c is the coefficient corresponding to the building dimension parameter, A is the aspect ratio of the building, and d is the coefficient corresponding to the building aspect ratio.

[0029] Further, the step of obtaining data through the camera and lidar on the aircraft includes:

[0030] Use the GPS positioning system to calibrate the position information of the aircraft to ensure that the geographical coordinates of the obtained actual image information and three-dimensional terrain data are accurate.

[0031] Further, after outputting that the shape of the construction land is not suitable for construction or outputting that the shape of the construction land is suitable for construction, it further includes:

[0032] Set up a visualization window, which allows users to view the engineering geological information, the size and shape information of the building to be constructed, the initial image information, the image information of the target area, and the preliminary evaluation results through an interactive interface.

[0033] In a second aspect, the present invention provides an automatic judgment system for the suitability of the shape of construction land, including:

[0034] A data acquisition module, configured to obtain engineering geological information according to the exploration of the construction land; obtain the size and shape information of the building to be constructed according to the category of the construction land; obtain the initial image information of the construction land from the satellite map;

[0035] A three-dimensional terrain acquisition module, which is used to obtain the actual image information of the construction land and the corresponding three-dimensional terrain data through the cameras and lidars on the aircraft;

[0036] A target area positioning module, which is used to compare the initial image information with the actual image information and locate the target area where the initial image information is located on the actual image information;

[0037] A region division module, which is used to obtain the target three-dimensional terrain data corresponding to the target area from the three-dimensional terrain data, calculate the slope values of each point in the target area according to the target three-dimensional terrain data; divide the corresponding slope regions according to multiple slope ranges set by the planned use;

[0038] A preliminary evaluation module, which is used to obtain the stratum lithology and geological structure of each slope region according to the engineering geological information; obtain the rock parameters and soil parameters of each slope region according to the stratum lithology corresponding to each slope region; input the rock parameters, soil parameters and the size and shape information of the building into the building stability evaluation model to obtain a preliminary evaluation result; the building stability evaluation model includes the influence relationship between the stability of the building with different size and shape information under different slope conditions and different rock parameters and soil parameters;

[0039] A final evaluation module, which is used to output that the shape of the construction land is not suitable for construction if the preliminary evaluation result is that the stability index is less than or equal to the threshold; if the preliminary evaluation result is that the stability index is greater than the threshold, obtain the positions of the faults in each slope region according to the geological structure corresponding to each slope region, and calculate the distance between the faults and the building; when the distance is greater than the preset threshold, output that the shape of the construction land is suitable for construction; when the distance is less than or equal to the preset threshold, output that the shape of the construction land is not suitable for construction.

[0040] In a third aspect, the present invention provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the steps corresponding to the method in the first aspect are implemented.

[0041] To sum up, the technical solutions of the embodiments of the present application have at least the following advantages and beneficial effects:

[0042] The present invention obtains detailed engineering geological information through geological exploration, and determines the size and shape requirements of the to-be-built building according to the category of the construction land. Subsequently, by combining the initial image information provided by the satellite map with the actual image information and three-dimensional terrain data collected by the high-precision camera and lidar carried by the aircraft, precise positioning of the target area of the construction land and accurate capture of the three-dimensional terrain features are achieved. On this basis, the slope values of each point in the target area are further analyzed, the slope areas are divided according to the preset slope range, and the rock parameters and soil parameters of each slope area are obtained in combination with the formation lithology and geological structure information. These parameters, together with the size and shape information of the building, are input into the pre-constructed building stability evaluation model to evaluate the stability of the building under different geological conditions. If the preliminary evaluation result shows that the stability index does not meet the standard, it is directly determined that the shape of the construction land is not suitable for construction; if the stability index meets the standard, the fault factor in the geological structure is further considered, the distance between the fault and the building is calculated, and compared with the preset safety distance threshold, and finally the suitability of the shape of the construction land is comprehensively determined. While improving the accuracy and efficiency of the evaluation of the construction land, it also provides reliable data support for urban planning and construction, and realizes the automatic judgment of the suitability of the shape of the construction land. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a flowchart of a method for automatically judging the suitability of the shape of a construction land provided by the present invention;

[0044] Figure 2 It is a schematic structural diagram of a system for automatically judging the suitability of the shape of a construction land provided by the present invention;

[0045] Figure 3 It is a schematic structural diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. Usually, the components of the embodiments of the present application described and illustrated herein can be arranged and designed in various different configurations.

[0047] As Figure 1 shown, a method for automatically judging the suitability of the shape of a construction land proposed in the embodiments of the present application includes:

[0048] S101, obtaining engineering geological information according to the exploration of the construction land; obtaining the size and shape information of the to-be-built building according to the category of the construction land; obtaining the initial image information of the construction land from the satellite map.

[0049] Specifically, step S101 is the basic information collection stage of the automatic judgment method for the suitability of the construction land shape. Its core lies in obtaining a number of key information related to the construction land, providing solid data support for subsequent analysis and evaluation. First, through the exploration of the construction land, detailed engineering geological information is obtained. Secondly, according to the category of the construction land (such as residential, commercial, industrial, etc.), the size and shape information of the building to be constructed is obtained, aiming to understand the building coverage. And the initial image information of the construction land is obtained from satellite maps. That is to use remote sensing technology to obtain macroscopic information such as the geographical location, surrounding environment, topography and landform of the construction land. These information have important reference value for preliminarily judging the suitability of the construction land, planning the layout and orientation of the building, etc. At the same time, the initial image information can also be used as the basis for subsequent on-site exploration and image comparison, helping to determine the key areas and directions of actual exploration.

[0050] Among them, obtaining the size and shape information of the building to be constructed according to the category of the construction land also includes: querying relevant building codes according to the urban planning area to which the construction land belongs to determine the building restrictions; selecting the corresponding building according to the building category and restrictions, and using the standard size and shape of the building as the size and shape information of the building to be constructed.

[0051] That is to say, for the link of obtaining the size and shape information of the building to be constructed according to the category of the construction land, the present invention has carried out more in-depth refinement and expansion. This expansion not only considers the basic categories of the construction land (such as residential, commercial, industrial, etc.), but also incorporates the key element of the urban planning area to which the construction land belongs, so as to ensure that the building design not only conforms to the land use nature, but also meets the overall requirements of urban planning. Specifically, after determining the category of the construction land, we will first query and understand the relevant building codes according to the urban planning area where the land is located. These building codes are usually formulated by local governments or urban planning departments, aiming to ensure that the design, construction and use of buildings conform to the overall goals of urban development, including but not limited to restrictions such as building height, floor area ratio, greening rate, and setback distance from the red line. These restrictions are of great significance for maintaining the overall style of the city, improving the quality of life of residents, and ensuring public safety.

[0052] After mastering the relevant building codes, we further select the appropriate building type from the preset building database according to the category of the construction land and these restrictions. These building types usually have been standardized in design, with fixed size and shape information, and at the same time meet the requirements of the building codes. By selecting these standardized buildings, it can be ensured that the building to be constructed not only meets the requirements of the construction land category, but also can be reasonably laid out and arranged within the framework of urban planning.

[0053] S102. Obtain the actual image information of the construction land and the corresponding three-dimensional terrain data through the camera and lidar on the aircraft.

[0054] Step S102 realizes the accurate capture from the high-altitude perspective to the ground details, providing detailed and accurate data support for subsequent evaluations. It mainly relies on the high-precision camera and lidar equipment carried by the aircraft (such as drones). Specifically, the camera on the aircraft can capture the actual image information of the construction land through the camera and lidar. These information not only include visual features such as the texture and color of the ground, but also can reflect the actual utilization status of the construction land, such as vegetation coverage and the layout of existing buildings, providing an intuitive basis for judging the current situation of the construction land. At the same time, the lidar emits laser pulses and receives their echoes, accurately measuring the distance of each point on the ground relative to the aircraft, and then constructing the three-dimensional terrain data of the construction land. These data are presented in the form of point clouds, containing key information such as the undulation of the terrain and the change of slope, which is the basis for analyzing the topographic and geomorphic features of the construction land.

[0055] S103. Compare the initial image information with the actual image information, and locate the target area where the initial image information is located on the actual image information.

[0056] Step S103 realizes the accurate docking from the macroscopic to the microscopic and from the theory to the practice. The core of this step is to compare and analyze the initial image information obtained from the satellite map (macroscopic perspective) with the actual image information actually captured by the aircraft (microscopic perspective) to determine the specific location of the target area.

[0057] During the specific operation, first define one or more sliding windows based on the size of the initial image information. These windows are like moving "observation frames" for comparing each area on the actual image information one by one. As the window slides on the actual image information, the system will calculate the similarity between the image in each window and the initial image information one by one. This calculation process relies on advanced image processing algorithms, such as the structural similarity index (SSIM) or the peak signal-to-noise ratio (PSNR), which can accurately quantify the similarity between images.

[0058] When the similarity between the image in a certain window and the initial image information exceeds the preset threshold, this area is identified as the target area. The setting of this threshold is based on a large amount of experimental data and empirical judgment, aiming to ensure the accuracy and reliability of the target area positioning. Through this step, the system can accurately locate the area that matches the initial image information in the actual image information, providing an accurate spatial positioning basis for subsequent analysis and evaluation.

[0059] The effect of step S103 is to achieve precise docking from the macroscopic to the microscopic. Although the initial image information provides a macroscopic perspective of the construction land, it lacks details and accuracy. The actual image information, on the other hand, captures the detailed features of the ground through the high-precision cameras and lidar devices on the aircraft. By comparing and analyzing the two, not only can the accuracy of the initial image information be verified, but also the target area can be accurately located in the actual image information, providing a solid foundation for subsequent steps such as three-dimensional terrain data acquisition, slope value calculation, and building stability assessment.

[0060] S104, obtain the target three-dimensional terrain data corresponding to the target area from the three-dimensional terrain data, calculate the slope values of each point in the target area according to the target three-dimensional terrain data; divide the corresponding slope areas according to multiple slope ranges set by the planned use.

[0061] Specifically, extracting the target three-dimensional terrain data corresponding to the target area from the three-dimensional terrain data is the primary task of this step. This depends on the point cloud data captured by the high-precision lidar on the aircraft, which depicts the three-dimensional terrain features of the construction land with extremely high precision. Through spatial positioning technology, the system can accurately match the target area in the initial image information with the corresponding area in the actual image information, and then screen out the three-dimensional data of the target area from the massive three-dimensional terrain data.

[0062] Next, based on these target three-dimensional terrain data, the system begins to calculate the slope values of each point in the target area. This calculation process first involves establishing a digital elevation model (DEM) based on the target three-dimensional terrain data. A digital elevation model is a model that represents the surface relief in digital form. It records the elevation information of each sampling point in the form of points by discretely sampling the terrain surface. During the process of establishing the digital elevation model, the system will conduct a preliminary inspection on the obtained target three-dimensional terrain data to identify and mark the vacant or missing parts in the data. These vacancies may be caused by equipment failures, measurement errors, or environmental factors (such as occlusion, shadows, etc.). To ensure the continuity and accuracy of the digital elevation model, the system uses advanced interpolation algorithms to fill these vacant parts.

[0063] Once the digital elevation model is established, the system can calculate the slope values of each point in the target area through the elevation difference between adjacent points. Slope is an important indicator describing the degree of terrain inclination and has a direct impact on the stability and safety of buildings. By calculating the slope values, the system can generate a slope distribution map, clearly showing the distribution of different slopes in the target area.

[0064] Subsequently, the system divides the target area into different slope regions according to multiple slope ranges set by the planned use. This step aims to simplify the complex slope information into several categories that are easy to understand and analyze, facilitating subsequent formation lithology analysis and building stability assessment.

[0065] The effect of step S104 is to achieve the goal of extracting key information from the three-dimensional terrain data and presenting this information in an intuitive and accurate manner. By calculating the slope values and dividing the slope regions, the system provides a solid foundation for subsequent formation lithology analysis, obtaining rock parameters and soil parameters, and building stability assessment.

[0066] S105, obtain the formation lithology and geological structure of each slope region according to the engineering geological information; obtain the rock parameters and soil parameters of each slope region according to the formation lithology corresponding to each slope region; input the rock parameters, soil parameters, and the size and shape information of the building into the building stability assessment model to obtain a preliminary assessment result; the building stability assessment model includes the influence relationship of different rock parameters and soil parameters on the stability of buildings with different sizes and shapes under different slope conditions;

[0067] Step S105 combines the engineering geological information with the analysis results of the three-dimensional terrain data to evaluate the stability of the building under different geological conditions. Specifically, this step first analyzes the formation lithology and geological structure of each slope region in detail based on the engineering geological information obtained in the previous steps. Formation lithology refers to the physical properties and chemical compositions of the rocks on the earth's crust surface, which directly determines the physical and mechanical properties of the soil, such as bearing capacity, shear strength, etc., and is a key factor in evaluating the stability of the building foundation. Geological structure reflects the stress state and deformation history inside the earth's crust, including structural forms such as faults and folds, and these structural features have an inescapable impact on the safety of the building.

[0068] After clarifying the formation lithology and geological structure of each slope region, the system further extracts the rock parameters and soil parameters of each slope region according to the formation lithology information. The rock parameters mainly include the compressive strength of the rock, while the soil parameters cover the internal friction angle of the soil. These parameters are important bases for evaluating the foundation deformation, bearing capacity, and overall stability of the building.

[0069] Next, the system takes these rock parameters, soil parameters, and the size and shape information of the building as input variables and imports them into the pre-constructed building stability assessment model. This assessment model is based on a large amount of engineering practice data and theoretical research, comprehensively considering the influence relationship of different rock parameters and soil parameters on the stability of buildings with different sizes and shapes under different slope conditions. Calculate the corresponding stability index to achieve a preliminary assessment of the building stability.

[0070] The effect of step S105 is to achieve an accurate mapping from geological conditions to the stability of buildings, providing a scientific basis for the judgment of the suitability of the construction land shape. By comprehensively considering the formation lithology, geological structure, rock parameters, soil parameters, and the size and shape information of the building, the evaluation model can accurately reflect the stability state of the building under different geological conditions, providing reliable data support for subsequent decision-making.

[0071] Among them, the formula for the building stability evaluation model is:

[0072]

[0073] Among them, R is the compressive strength of the rock, a is the coefficient corresponding to the compressive strength of the rock, S p is the internal friction angle of the soil, b is the coefficient corresponding to the internal friction angle of the soil, D is the size parameter of the building, c is the coefficient corresponding to the size parameter of the building, A is the aspect ratio of the building, and d is the coefficient corresponding to the aspect ratio of the building.

[0074] S106. If the preliminary evaluation result shows that the stability index is less than or equal to the threshold, it outputs that the shape of the construction land is not suitable for construction; if the preliminary evaluation result shows that the stability index is greater than the threshold, it obtains the positions of the faults in each slope area according to the geological structure corresponding to each slope area, and calculates the distance between the faults and the building; when the distance is greater than the preset threshold, it outputs that the shape of the construction land is suitable for construction; when the distance is less than or equal to the preset threshold, it outputs that the shape of the construction land is not suitable for construction.

[0075] Step S106 further refines the judgment basis based on the preliminary evaluation result to ensure the scientificity and safety of the construction land selection. In the preliminary evaluation stage, the stability index calculated by the building stability evaluation model is an important indicator to measure whether the building can remain stable under specific geological conditions. When this index is lower than or equal to the preset threshold, it means that the stability of the building cannot be guaranteed in the current geological environment. Therefore, it directly outputs the conclusion that the shape of the construction land is not suitable for construction, avoiding unnecessary risks and investments in the future.

[0076] However, when the preliminary evaluation result shows that the stability index is higher than the threshold, it indicates that the construction land basically meets the stability requirements of the building in terms of geological conditions, but this does not mean that it can be immediately determined to be suitable for construction. Because potential risk factors such as faults in the geological structure still need to be further considered. A fault is a tectonic phenomenon in the earth's crust where rocks are stressed and fractured, and there is an obvious relative displacement along the fracture surface. It may pose a serious threat to the safety of the building. Therefore, step S106 accurately obtains the positions of the faults according to the geological structure information corresponding to each slope area, and calculates the distance between the faults and the planned building.

[0077] This calculation process is crucial because it directly relates to the geological disaster risks that the building may face in the future. By comparing the relative positions of the fault location and the building's planned location, when the calculated distance is greater than the preset safety threshold, it indicates that the spatial interval between the building and the fault is large enough, and the impact of fault activity on the building's safety is within a controllable range. Therefore, it can be determined that the shape of the construction land is suitable for construction. On the contrary, if the distance is less than or equal to the preset threshold, it means that the building is too close to the fault and there is a high risk of geological disasters. At this time, a conclusion that the shape of the construction land is not suitable for construction should be output to avoid potential safety accidents in the future.

[0078] The implementation effect of step S106 is that it not only considers the impact of geological conditions on the stability of the building but also further takes into account potential risk factors such as faults in the geological structure, thus ensuring the comprehensiveness and accuracy of the construction land selection. Through this step, building safety problems caused by poor geological conditions or risk factors such as faults can be effectively avoided, providing a scientific and reliable decision-making basis for urban planning and construction.

[0079] Furthermore, the steps of obtaining data through the cameras and lidar on the aircraft include:

[0080] Using the GPS positioning system to calibrate the position information of the aircraft to ensure the geographical coordinates of the actual image information and three-dimensional terrain data obtained are accurate.

[0081] Specifically, in the process of using the aircraft to collect construction land data, it is crucial to ensure the accuracy of the data and the precision of the geographical location. To achieve this goal, the GPS positioning system is introduced to calibrate the position information of the aircraft. The GPS positioning system is a satellite navigation-based positioning technology that can provide accurate position and time information globally. When the aircraft is flying in the air and collecting data, the GPS positioning system can receive signals from multiple satellites in real-time and calculate information such as the accurate position, speed, and direction of the aircraft through these signals.

[0082] In the data collection stage, the cameras and lidar on the aircraft work simultaneously to capture the actual image information and three-dimensional terrain data of the construction land respectively. To ensure that these data correspond one-to-one with the real geographical location, we use the position information provided by the GPS positioning system to calibrate the position of the aircraft. This calibration process includes synchronizing the GPS positioning data with the data of the cameras and lidar on the aircraft in terms of time and matching them in space, so as to ensure that each frame of image and each three-dimensional terrain data point can accurately correspond to its real geographical location.

[0083] Further, after outputting that the shape of the construction land is not suitable for construction or that the shape of the construction land is suitable for construction, it further includes:

[0084] Set up a visualization window, which allows users to view engineering geological information, the size and shape information of the building to be constructed, initial image information, image information of the target area, and preliminary evaluation results through an interactive interface. Thus, it provides users with an intuitive and convenient way to view and understand the key information and evaluation results in the whole judgment process.

[0085] Specifically, the setting of the visualization window aims to enhance users' sense of participation and understanding of the process of judging the suitability of the shape of the construction land. This window integrates various information display functions, including but not limited to engineering geological information, the size and shape information of the building to be constructed, initial image information, image information of the target area, and preliminary evaluation results. These information are presented in a graphical and dynamic way, enabling users to easily understand complex geological conditions, building design parameters, and the interaction relationships between them.

[0086] In terms of the display of engineering geological information, the visualization window can present key information such as the stratum distribution, rock type, and geological structure of the construction land, helping users intuitively understand the geological characteristics of the construction land. At the same time, by comparing the geological conditions of different regions, users can more clearly understand the impact of geological factors on the stability of buildings.

[0087] For the size and shape information of the building to be constructed, the visualization window provides a three-dimensional model display function of the building. Users can rotate, zoom, etc. to observe the appearance and internal structure of the building from different angles, so as to more accurately evaluate the matching degree between the building and the construction land.

[0088] In terms of the display of image information, the visualization window superimposes and compares the initial image information with the actual image information, highlighting the location and scope of the target area. Through this function, users can intuitively see the corresponding relationship between the macroscopic information on the satellite map and the actual image taken by the aircraft, and deepen their understanding of the current situation of the construction land.

[0089] In addition, the visualization window also provides a dynamic display function of the preliminary evaluation results. The system will update the display results in real time according to the stability index calculated by the evaluation model, helping users quickly understand the judgment basis and conclusion of the suitability of the shape of the construction land.

[0090] Based on the same inventive concept, the present invention provides an automatic judgment system for the suitability of the shape of construction land, including:

[0091] The data acquisition module 201 is configured to obtain engineering geological information based on the exploration of the construction land; obtain the size and shape information of the building to be constructed according to the category of the construction land; obtain the initial image information of the construction land from the satellite map;

[0092] The three-dimensional terrain acquisition module 202 is configured to obtain the actual image information of the construction land and the corresponding three-dimensional terrain data through the cameras and lidars on the aircraft;

[0093] The target area positioning module 203 is configured to compare the initial image information with the actual image information and locate the target area where the initial image information is located on the actual image information;

[0094] The area division module 204 is configured to obtain the target three-dimensional terrain data corresponding to the target area from the three-dimensional terrain data, calculate the slope values of each point in the target area according to the target three-dimensional terrain data; divide the corresponding slope areas according to multiple slope ranges set by the planned use;

[0095] The preliminary evaluation module 205 is configured to obtain the stratigraphic lithology and geological structure of each slope area according to the engineering geological information; obtain the rock parameters and soil parameters of each slope area according to the stratigraphic lithology corresponding to each slope area; input the rock parameters, soil parameters and the size and shape information of the building into the building stability evaluation model to obtain a preliminary evaluation result; the building stability evaluation model includes the influence relationship of the stability of buildings with different sizes and shapes under different slope conditions, different rock parameters and soil parameters;

[0096] The final evaluation module 206 is configured to, if the preliminary evaluation result is that the stability index is less than or equal to the threshold, output that the shape of the construction land is not suitable for construction; if the preliminary evaluation result is that the stability index is greater than the threshold, obtain the positions of the faults in each slope area according to the geological structure corresponding to each slope area, and calculate the distance between the faults and the building; when the distance is greater than the preset threshold, output that the shape of the construction land is suitable for construction; when the distance is less than or equal to the preset threshold, output that the shape of the construction land is not suitable for construction.

[0097] Based on the same inventive concept, the present invention provides an electronic device, including: a memory 302, a processor 301, and a computer program stored on the memory 302 and executable on the processor 301. When the processor 301 executes the computer program, it implements a method for automatically judging the suitability of the shape of the construction land.

[0098] The above are only the preferred embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for automatically judging the suitability of the shape of construction land, characterized in that: include: Acquire engineering geological information based on the exploration of the construction land; acquire size and shape information of the building to be constructed based on the type of the construction land; Obtaining initial image information of the construction land from a satellite map; The actual image information of the construction land and the corresponding three-dimensional terrain data are obtained through the camera and lidar on the aircraft; Comparing the initial image information with the actual image information, and locating a target area where the initial image information is located on the actual image information; Acquire target three-dimensional terrain data corresponding to the target area from the three-dimensional terrain data, calculate the slope value of each point in the target area according to the target three-dimensional terrain data; divide the corresponding slope area according to multiple slope ranges set for planning purposes; Obtaining the stratum lithology and geological structure of each slope area according to the engineering geological information; obtaining the rock parameters and soil parameters of each slope area according to the stratum lithology corresponding to each slope area; Inputting the rock parameters, soil parameters and the size and shape information of the building into a building stability assessment model to obtain a preliminary assessment result; the building stability assessment model includes the influence relationship of different rock parameters and soil parameters on the stability of buildings with different size and shape information under different slope conditions; If the preliminary assessment result shows that the stability index is less than or equal to the threshold, then the output is that the shape of the construction land is not suitable for construction; If the preliminary assessment result is that the stability index is greater than a threshold, then the position of the fault in each slope area is obtained according to the geological structure corresponding to each slope area, and the distance between the fault and the building is calculated; when the distance is greater than a preset threshold, it is output that the shape of the construction land is suitable for construction; when the distance is less than or equal to the preset threshold, it is output that the shape of the construction land is unsuitable for construction.

2. The method for automatically judging the suitability of the shape of construction land according to claim 1, characterized in that: The step of obtaining the size and shape information of the building to be constructed according to the type of the construction land further includes: According to the urban planning area to which the construction land belongs, check the relevant building codes to determine the restrictions on the building; A corresponding building is selected according to the building category and restriction conditions, and the standard size and shape of the building is used as the size and shape information of the building to be constructed.

3. The method for automatically determining the suitability of the shape of construction land according to claim 1, characterized in that: The step of comparing the initial image information with the actual image information specifically includes: defining one or more sliding windows with a size of the initial image information; Sliding the window on the actual image information, and comparing the similarity between the image in the window and the initial image information region by region; The similarity is calculated using the structural similarity index or peak signal-to-noise ratio, and the regions with similarity exceeding a preset threshold are selected as target regions.

4. The method for automatically judging the suitability of the shape of construction land according to claim 1, characterized in that: The step of calculating the slope value of each point in the target area according to the target three-dimensional terrain data specifically includes: A digital elevation model is established according to the target three-dimensional terrain data, and the slope value of each point in the target area is calculated by the elevation difference between adjacent points.

5. The method for automatically judging the suitability of the shape of construction land according to claim 4, characterized in that: The step of establishing a digital elevation model according to the target three-dimensional terrain data also includes: Conduct a preliminary check on the acquired target 3D terrain data to identify and mark any gaps or missing parts in the data; Interpolation algorithms are used to fill in gaps or missing parts to improve the continuity and accuracy of the digital elevation model.

6. The method for automatically judging the shape suitability of construction land according to claim 1, characterized in that: The formula of the building stability assessment model is: Among them, R is the compressive strength of rock, a is the coefficient corresponding to the compressive strength of rock, S p is the internal friction angle of the soil, b is the coefficient corresponding to the internal friction angle of the soil, D is the size parameter of the building, c is the coefficient corresponding to the size parameter of the building, A is the length-to-width ratio of the building, and d is the coefficient corresponding to the length-to-width ratio of the building.

7. The method for automatically determining the suitability of the shape of construction land according to claim 1, characterized in that: The step of acquiring data through the camera and laser radar on the aircraft includes: The GPS positioning system is used to calibrate the position information of the aircraft to ensure that the actual image information and geographic coordinates of the three-dimensional terrain data obtained are accurate.

8. The method for automatically judging the suitability of the shape of construction land according to claim 1, characterized in that: After outputting that the shape of the construction land is not suitable for construction or outputting that the shape of the construction land is suitable for construction, the method further includes: A visualization window is provided, wherein the visualization window allows a user to view engineering geological information, size and shape information of a building to be constructed, initial image information, image information of a target area, and preliminary evaluation results through an interactive interface.

9. A system for automatically determining the suitability of the shape of construction land, characterized in that: include: The data acquisition module is used to acquire engineering geological information based on the exploration of the construction land; acquire the size and shape information of the building to be constructed based on the type of the construction land; and acquire the initial image information of the construction land from the satellite map; A three-dimensional terrain acquisition module is used to obtain actual image information of the construction land and corresponding three-dimensional terrain data through the camera and laser radar on the aircraft; A target area positioning module, used for comparing the initial image information with the actual image information, and locating the target area where the initial image information is located on the actual image information; A region division module is used to obtain target three-dimensional terrain data corresponding to the target region from the three-dimensional terrain data, calculate the slope value of each point in the target region according to the target three-dimensional terrain data; and divide the corresponding slope region according to multiple slope ranges set for planning purposes; A preliminary evaluation module is used to obtain the stratum lithology and geological structure of each slope area according to the engineering geological information; and obtain the rock parameters and soil parameters of each slope area according to the stratum lithology corresponding to each slope area; Inputting the rock parameters, soil parameters and the size and shape information of the building into a building stability assessment model to obtain a preliminary assessment result; the building stability assessment model includes the influence relationship of different rock parameters and soil parameters on the stability of buildings with different size and shape information under different slope conditions; A final evaluation module, for outputting that the shape of the construction land is not suitable for construction if the preliminary evaluation result shows that the stability index is less than or equal to a threshold value; If the preliminary assessment result is that the stability index is greater than a threshold, then the position of the fault in each slope area is obtained according to the geological structure corresponding to each slope area, and the distance between the fault and the building is calculated; when the distance is greater than a preset threshold, it is output that the shape of the construction land is suitable for construction; when the distance is less than or equal to the preset threshold, it is output that the shape of the construction land is unsuitable for construction.

10. An electronic device, characterized in that: The electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps corresponding to the method according to any one of claims 1 to 8 when executing the computer program.

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