Method and device for determining stability of foundation pit, storage medium and program product

Abstract

The invention discloses a foundation pit stability determination method and device, a storage medium and a program product. The method comprises the steps that in the foundation pit construction process, multi-source monitoring data of a foundation pit are acquired; based on the multi-source monitoring data, deformation data of the foundation pit are determined, and the deformation data are used for representing the deformation condition of an original structure of the foundation pit; based on the deformation data, an original three-dimensional model of the foundation pit is adjusted, a target three-dimensional model is obtained, the original three-dimensional model is used for representing the original structure of the foundation pit, and the target three-dimensional model is used for representing the original structure of the foundation pit after deformation; and determining the stability of the foundation pit based on the target three-dimensional model. The technical problem that the stability evaluation accuracy of the foundation pit is low is solved.

Description

Technical Field

[0001] The present application relates to the field of foundation pits, and in particular, to a method, device, storage medium and program product for determining the stability of a foundation pit. Background Art

[0002] In related technologies, the assessment of foundation pit stability usually relies on geotechnical engineering investigation report data. However, during the construction of the foundation pit, various factors, such as groundwater changes and construction disturbances, may cause the actual situation to be inconsistent with the investigation results, thereby affecting the accuracy of the assessment. Therefore, this method has the technical problem of low accuracy in foundation pit stability assessment.

[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0004] The embodiments of the present application provide a method, device, storage medium and program product for determining the stability of a foundation pit, so as to at least solve the technical problem of low accuracy in evaluating the stability of a foundation pit.

[0005] According to one aspect of an embodiment of the present application, a method for determining the stability of a foundation pit is provided, and the method may include: during the construction of the foundation pit, obtaining multi-source monitoring data of the foundation pit; determining deformation data of the foundation pit based on the multi-source monitoring data, wherein the deformation data is used to characterize the deformation of the original structure of the foundation pit; based on the deformation data, adjusting the original three-dimensional model of the foundation pit to obtain a target three-dimensional model, wherein the original three-dimensional model is used to characterize the original structure of the foundation pit, and the target three-dimensional model is used to characterize the original structure of the foundation pit after deformation; and determining the stability of the foundation pit based on the target three-dimensional model.

[0006] Optionally, based on the target three-dimensional model, the stability of the foundation pit is determined, including: determining the similarity between the target three-dimensional model and the abnormal three-dimensional model, wherein the abnormal three-dimensional model is used to characterize the original structure of the foundation pit under an abnormal state; in response to the similarity being greater than a similarity threshold, determining that the stability is less than a stability threshold; in response to the similarity being less than or equal to the similarity threshold, determining that the stability is greater than the stability threshold.

[0007] Optionally, the deformation data of the foundation pit is determined based on the multi-source monitoring data, including: determining the force data of the structure in the foundation pit based on the multi-source monitoring data; and determining the deformation data based on the force data.

[0008] Optionally, the deformation data is determined based on the force data, including: simulating the force data to obtain movement data of the original structure during the construction process; and determining the deformation data based on the movement data.

[0009] Optionally, based on the deformation data, the original three-dimensional model of the foundation pit is adjusted to obtain a target three-dimensional model, including: fusing the deformation data with attribute data of the original three-dimensional model to obtain fused data; and generating the target three-dimensional model based on the fused data.

[0010] Optionally, the method may further include: predicting the stability of the foundation pit at a future time based on the target three-dimensional model to obtain a prediction result; in response to the prediction result being that the stability at the future time is less than a stability threshold, issuing a prompt message.

[0011] According to another aspect of an embodiment of the present application, a device for determining the stability of a foundation pit is also provided, and the device may include: an acquisition unit, used to acquire multi-source monitoring data of a foundation pit during the construction of the foundation pit; a first determination unit, used to determine the deformation data of the foundation pit based on the multi-source monitoring data, wherein the deformation data is used to characterize the deformation of the original structure of the foundation pit; an adjustment unit, used to adjust the original three-dimensional model of the foundation pit based on the deformation data to obtain a target three-dimensional model, wherein the original three-dimensional model is used to characterize the original structure of the foundation pit, and the target three-dimensional model is used to characterize the original structure of the foundation pit after deformation; a second determination unit, used to determine the stability of the foundation pit based on the target three-dimensional model.

[0012] According to another aspect of an embodiment of the present application, a computer-readable storage medium is also provided, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the method for determining the stability of the foundation pit of the embodiment of the present application.

[0013] According to another aspect of an embodiment of the present application, a processor is further provided, the processor being used to run a program, wherein when the program is run by the processor, the method for determining the stability of a foundation pit of an embodiment of the present application is executed.

[0014] According to another aspect of an embodiment of the present application, a computer program product is also provided, which includes computer instructions, wherein when the computer instructions are executed by a processor, the method for determining the stability of the foundation pit of the embodiment of the present application is implemented.

[0015] In an embodiment of the present application, during the construction of the foundation pit, multi-source monitoring data of the foundation pit is obtained; based on the multi-source monitoring data, the deformation data of the foundation pit is determined, wherein the deformation data is used to characterize the deformation of the original structure of the foundation pit; based on the deformation data, the original three-dimensional model of the foundation pit is adjusted to obtain a target three-dimensional model, wherein the original three-dimensional model is used to characterize the original structure of the foundation pit, and the target three-dimensional model is used to characterize the original structure of the foundation pit after deformation; based on the target three-dimensional model, the stability of the foundation pit is determined. That is to say, in an embodiment of the present application, based on the multi-source monitoring data, the deformation data of the foundation pit is determined, the original three-dimensional model is called, and based on the deformation data, the original three-dimensional model is adjusted to obtain the target three-dimensional model, and the target three-dimensional model is judged to determine the stability of the foundation pit, thereby solving the technical problem of low accuracy of stability assessment of the foundation pit and achieving the technical effect of improving the accuracy of determining the stability assessment of the foundation pit. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0017] Figure 1 is a flow chart of a method for determining the stability of a foundation pit according to an embodiment of the present application;

[0018] Figure 2 is a flow chart of a foundation pit stability assessment method based on data fusion according to an embodiment of the present application;

[0019] Figure 3 is a schematic diagram of a device for determining the stability of a foundation pit according to an embodiment of the present application;

[0020] Figure 4 is a structural block diagram of a computer terminal according to an embodiment of the present application;

[0021] Figure 5 It is a block diagram of an electronic device for determining the stability of a foundation pit according to an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] According to an embodiment of the present application, an embodiment of a method for determining the stability of a foundation pit is provided. The steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0025] In this embodiment, a method for determining the stability of a foundation pit is proposed. The method can determine the deformation data of the foundation pit based on multi-source monitoring data, call the original three-dimensional model, and adjust the original three-dimensional model based on the deformation data to obtain a target three-dimensional model. The target three-dimensional model is judged to determine the stability of the foundation pit, thereby solving the technical problem of low accuracy in stability assessment of the foundation pit and achieving the technical effect of improving the accuracy of determining the stability assessment of the foundation pit.

[0026] Figure 1 FIG. 1 is a flow chart of a method for determining the stability of a foundation pit according to an embodiment of the present application. Figure 1 As shown, the method may include the following steps:

[0027] Step S102, during the foundation pit construction process, obtaining multi-source monitoring data of the foundation pit.

[0028] In the technical solution provided in the above step S102 of the present application, the above multi-source monitoring data may include data collected by different monitoring equipment, and may include monitoring data, survey report data, surrounding environment data (for example, the foundation form of nearby buildings, load conditions, etc.) and historical engineering case data. For example, the multi-source monitoring data may include: real-time monitoring data such as surface settlement, wall inclination measurement, soil inclination measurement, and support axial force. It should be noted that this is only for example purposes, and there is no specific restriction on the type of multi-source monitoring data and the collection method.

[0029] Optionally, the multi-source monitoring data may include multiple key geological parameters such as soil type, water content, porosity, etc., which can be used to determine the degree of deformation of the foundation pit, and may include data such as the geological conditions of the foundation pit, the depth of the foundation pit, the type of support structure, and the construction process. It should be noted that this is only an example, and there is no specific restriction on the data type of the multi-source monitoring data.

[0030] Optionally, multi-source monitoring data corresponding to multiple monitoring points in the foundation pit and within the target range of the foundation pit can be obtained through multiple monitoring devices.

[0031] Optionally, the above foundation pit is a cavity with a certain depth, width and length excavated on the ground in order to build underground structures such as basements, underground garages, subway stations, bridge piers, etc. in a construction project. Foundation pit excavation is an important part of civil engineering. Its purpose is to provide working space for underground construction. At the same time, it is necessary to ensure the safety of surrounding buildings and underground structures, and prevent adverse situations such as soil landslides and groundwater infiltration. Foundation pit projects usually involve complex geological conditions and groundwater management. Therefore, during the design and construction process, appropriate support structures and construction technologies need to be adopted to ensure the safety of the project and the quality of construction.

[0032] For example, for data collection and preprocessing, a ground-based synthetic aperture radar system (GBSAR) can be used to obtain monitoring data, wherein the GBSAR system can actively transmit and receive microwave signals through an antenna, based on the synthetic aperture radar (SAR) differential interferometry measurement principle, including radar distance equation, pulse compression principle and radar imaging principle, to detect targets within a range of tens of meters to thousands of meters to obtain monitoring data, which can be used for three-dimensional reconstruction of foundation pits. The total station instrument can also be deployed at fixed measuring stations and rear-view points, and the plane coordinates of the observation points can be measured using a prism, and the coordinates measured each time at the observation point can be compared to obtain the deformation value of the observation point. It should be noted that the above-mentioned multi-source data collection method is only for example, and no specific limitation is made here.

[0033] Optionally, the multi-source monitoring data obtained by GBSAR monitoring can be processed to obtain relevant information about the ground deformation around the foundation pit, and the total station measurement data can be used for correction and verification to ensure the accuracy and reliability of the data.

[0034] At present, the processing of foundation pit data usually relies solely on geotechnical engineering survey report data. However, because the geological parameters are obtained during the survey stage, various factors (such as groundwater changes, construction disturbances, etc.) may cause the actual situation to be inconsistent with the survey results during the construction process, thus affecting the accuracy of the assessment. For example, in some areas with high groundwater levels, groundwater leakage and other situations may occur during construction, which will change the physical properties of the soil, but the assessment based solely on the survey report cannot capture these changes in a timely manner. In addition, the above data acquisition method is relatively single, and there is a problem that it cannot reflect the dynamic changes of the foundation pit during the construction process in real time.

[0035] At the same time, the method that relies solely on monitoring data lacks comprehensive consideration of the overall geological conditions of the foundation pit. Monitoring data can only reflect local deformation conditions, and some potential geological risks (such as the distribution of unmonitored soft soil layers) cannot be effectively identified, and some key factors that lead to foundation pit instability may be missed. For example, if the soft soil layer is located in the area between monitoring points, the potential threat of the soft soil layer to the stability of the foundation pit may not be discovered through the monitoring point data alone. The above method has the problem of one-sided monitoring data.

[0036] In this embodiment, in order to solve the problems of data uniformity and fusion, the monitoring data of the foundation pit during the construction process is monitored to obtain multi-source monitoring data, and the collected multi-source monitoring data can be integrated in real time and dynamically.

[0037] Optionally, in view of the defect in the prior art that only geotechnical engineering survey report data cannot reflect the dynamic changes in the foundation pit construction process in real time, this embodiment integrates real-time monitoring data with survey report data to obtain multi-source monitoring data. For example, during the construction process, dynamic monitoring data such as groundwater level changes and soil displacement rate are obtained in real time, and integrated and analyzed with geological parameters in the initial survey report (such as soil type, porosity, etc.), so as to more comprehensively capture the impact of various factors on the stability of the foundation pit during the construction process, and avoid inaccurate evaluation results due to the limitations of a single data source.

[0038] Optionally, in order to overcome the deficiency of relying solely on monitoring data and lacking a comprehensive consideration of the overall geological conditions of the foundation pit, this embodiment can also integrate multiple data sources to complete the comprehensive consideration of multi-source data. In addition to monitoring data and survey report data, surrounding environmental data (such as the foundation form of nearby buildings, load conditions, etc.) and historical engineering case data can also be analyzed. Through the comprehensive analysis of these multi-source data (that is, multi-source monitoring data), it is possible to have a deeper understanding of the geological and environmental background of the foundation pit, thereby more accurately evaluating its stability (also known as stability).

[0039] For example, using the GBSAR system, microwave signals can be actively emitted and received through antennas. Based on the SAR differential interferometry measurement principle, such as the radar distance equation, pulse compression principle and radar imaging principle, targets within a range of tens of meters to several kilometers can be detected to obtain GBSAR monitoring data, which can provide important data support for the three-dimensional reconstruction of the foundation pit. A total station can also be used. By using the total station method, fixed measuring stations and backsight points are arranged, and the plane coordinates of the observation points are measured using a prism, and the coordinates of the observation points measured each time are compared to obtain the deformation value of the observation points. The above measurement methods may include polar coordinate method and small angle method.

[0040] Optionally, the data obtained by GBSAR monitoring is processed to obtain relevant information about the ground deformation around the foundation pit, and the total station measurement data is used for correction and verification to ensure the accuracy and reliability of the multi-source monitoring data.

[0041] Step S104, determining deformation data of the foundation pit based on the multi-source monitoring data, wherein the deformation data is used to characterize the deformation of the original structure of the foundation pit.

[0042] In the technical solution provided in the above step S104 of the present application, the above deformation data can be used to characterize the deformation of the original structure of the foundation pit, and can be used to characterize the displacement, strain and stress changes of the original structure of the foundation pit under the action of force. The above original structure can be the structure of the foundation pit before construction, the foundation pit structure, the spatial structure of the foundation pit and its support system, which can be used to characterize the soil and support structure of the foundation pit, and can include the excavated pit body and the support structure designed to ensure the safety of the surrounding environment and the stability of the pit body, such as the retaining walls, supports, anchor rods, soil nail walls, etc. in the foundation pit. The above support structure can be used to prevent the collapse of the pit wall soil, control the groundwater level, and ensure construction safety and the stability of surrounding buildings. It should be noted that this is only for example, and there is no specific restriction on the type of original structure.

[0043] Optionally, based on multi-source monitoring data, deformation data of the foundation pit during the foundation pit construction process can be determined, and the deformation data can be used to characterize the deformation of the original structure of the foundation pit during the foundation pit construction process.

[0044] For example, finite element simulation of the foundation pit can be used to determine the deformation data of the foundation pit based on multi-source monitoring data and the original structure of the foundation pit. For example, the stress conditions and deformation conditions at different locations in the foundation pit can be determined.

[0045] Step S106, based on the deformation data, the original three-dimensional model of the foundation pit is adjusted to obtain a target three-dimensional model, wherein the original three-dimensional model is used to characterize the original structure of the foundation pit, and the target three-dimensional model is used to characterize the original structure of the foundation pit after deformation.

[0046] In the technical solution provided in the above step S106 of the present application, an original three-dimensional model of the foundation pit can be constructed in advance based on the original structure of the foundation pit. After the deformation data is obtained, the original three-dimensional model of the foundation pit can be adjusted based on the deformation data to obtain a target three-dimensional model, which can be a digital twin model, and can be used to characterize the original structure of the foundation pit after deformation.

[0047] Optionally, the original three-dimensional model can be a building information model (BIM), which can be used for visualization and information management of the foundation pit and its surrounding environment. Through the original three-dimensional model, the structure and geological conditions of the foundation pit can be intuitively displayed, which can be used to provide dynamic engineering status feedback. The target three-dimensional model can be a digital twin model, which can be used to display the deformation of the foundation pit model in three dimensions. The target three-dimensional model can be a digital twin model, which can be constructed based on the original three-dimensional model and basic deformation data, and can be used to characterize the original structure of the foundation pit after deformation.

[0048] Optionally, during the construction process of the digital twin model, various real-time monitoring data of the foundation pit construction site (for example, multi-source monitoring data such as surface settlement and wall inclination) can be collected, and the deformation data of the foundation pit can be determined by using the finite element simulation of the foundation pit. The deformation data is processed and spatialized, and the processed deformation data (that is, the finite element simulation results) can be combined with the original three-dimensional model (that is, the BIM three-dimensional model) to obtain a highly simulated virtual model (that is, the target three-dimensional model). The target three-dimensional model can integrate the static information of the BIM three-dimensional model and the finite element simulation results to form a highly simulated virtual simulation.

[0049] Optionally, the digital twin model not only integrates the static information of the BIM three-dimensional model and the dynamic analysis results of the finite element simulation, but also can be connected to the foundation pit monitoring and early warning system in real time, thereby providing real-time guidance and decision-making support for foundation pit construction.

[0050] Optionally, use BIM modeling software to quickly and accurately model to obtain the original three-dimensional model of the foundation pit, which can be used to characterize the foundation pit and its surrounding environment. During the foundation pit excavation stage, the monitoring points at different locations of the project can be reasonably and intuitively mapped to the three-dimensional model. According to the layout principles of surface settlement, building settlement, support internal force, horizontal displacement of the top of the supporting pile, vertical settlement, etc., the spatial position relationship between the monitoring points is analyzed. At the same time, considering the conditions such as the on-site environment, light, and instrument characteristics, the reasonable location and number of monitoring points are selected to improve the monitoring effect, reduce monitoring costs, and save project management costs. After the monitoring points are determined, the three-dimensional model and the monitoring point coordinates, attributes and other information can be imported into the deformation monitoring system to achieve effective transmission of the model monitoring point data and reflect the deformation of the foundation pit in a three-dimensional manner.

[0051] In this embodiment, a BIM three-dimensional model (i.e., an original three-dimensional model) can be established using BIM modeling software. Deformation data can be obtained using finite element simulation. Using the deformation data, the original three-dimensional model of the foundation pit can be adjusted to obtain a target three-dimensional model.

[0052] Step S108, determining the stability of the foundation pit based on the target three-dimensional model.

[0053] In the technical solution provided in the above step S108 of the present application, the structural state of the foundation pit can be determined based on the target three-dimensional model, so that the stability of the foundation pit can be determined. The stability can be stability, which can be used to determine the stability of the structure of the foundation pit.

[0054] Optionally, the relevant data of the structure of the foundation pit can be determined based on the target 3D model, and the stability of the foundation pit can be determined based on the data. Alternatively, the target 3D model can be compared with a predetermined abnormal 3D model to determine the stability of the foundation pit.

[0055] Through the above steps S102 and S108 of the present application, in the process of foundation pit construction, multi-source monitoring data of the foundation pit is obtained; based on the multi-source monitoring data, the deformation data of the foundation pit is determined, wherein the deformation data is used to characterize the deformation of the original structure of the foundation pit; based on the deformation data, the original three-dimensional model of the foundation pit is adjusted to obtain a target three-dimensional model, wherein the original three-dimensional model is used to characterize the original structure of the foundation pit, and the target three-dimensional model is used to characterize the original structure of the foundation pit after deformation; based on the target three-dimensional model, the stability of the foundation pit is determined. That is to say, in the embodiment of the present application, based on the multi-source monitoring data, the deformation data of the foundation pit is determined, the original three-dimensional model is called, and based on the deformation data, the original three-dimensional model is adjusted to obtain the target three-dimensional model, and the target three-dimensional model is judged to determine the stability of the foundation pit, thereby solving the technical problem of low accuracy of stability assessment of the foundation pit and achieving the technical effect of improving the accuracy of determining the stability assessment of the foundation pit.

[0056] The above method of this embodiment is further introduced below.

[0057] As an optional implementation, step S108, based on the target three-dimensional model, determines the stability of the foundation pit, including: determining the similarity between the target three-dimensional model and the abnormal three-dimensional model, wherein the abnormal three-dimensional model is used to characterize the original structure of the foundation pit under the abnormal state; in response to the similarity being greater than a similarity threshold, determining that the stability is less than a stability threshold; in response to the similarity being less than or equal to the similarity threshold, determining that the stability is greater than the stability threshold.

[0058] In this embodiment, an abnormal three-dimensional model whose stability is lower than the stability threshold can be obtained in advance, and the abnormal three-dimensional model is compared with the target three-dimensional model to determine the similarity between the abnormal three-dimensional model and the target three-dimensional model. If the similarity is greater than the similarity threshold, it can be determined that the stability is less than the stability threshold. If the similarity is less than or equal to the similarity threshold, it can be determined that the stability is greater than the stability threshold. If the stability is less than the stability threshold, it can be determined that the foundation pit is in an unstable state. If the stability is greater than the stability threshold, it can be determined that the foundation pit is in a stable state.

[0059] Optionally, the target 3D model and the abnormal 3D model can be compared by a neural network model to obtain the similarity between the target 3D model and the abnormal 3D model, and then the stability of the target 3D model can be determined based on the similarity. The stability threshold can be a preset value.

[0060] Optionally, the original structure of the foundation pit under different abnormal conditions can be obtained in advance to obtain an abnormal three-dimensional model. If the similarity between the target three-dimensional model and the abnormal three-dimensional model is higher than a similarity threshold, it can be determined that the target three-dimensional model is in an abnormal state, and thus it can be determined that the stability of the target three-dimensional model is lower than a stability threshold, that is, it can be determined that the structure of the target three-dimensional model is stable.

[0061] As an optional implementation, step S104, determining deformation data of the foundation pit based on multi-source monitoring data, includes: determining force data of the structure in the foundation pit based on the multi-source monitoring data; and determining deformation data based on the force data.

[0062] In this embodiment, the multi-source monitoring data can be analyzed to obtain the force data of the structure in the foundation pit, and the deformation data of the foundation pit can be determined based on the force data. The force data can include the force magnitude and force direction at different positions in the foundation pit, etc. It should be noted that this is only an example, and the type of force data is not specifically limited.

[0063] Optionally, multi-source monitoring data is obtained, and finite element simulation analysis of the foundation pit is used to determine the force data of the structure in the foundation pit to obtain deformation data in the foundation pit. For example, finite element software (such as ABAQUS software) can be used to analyze the multi-source monitoring data to obtain force data, and the force data can be used to determine the deformation data of the foundation pit.

[0064] Optionally, the finite element simulation software of the foundation pit can perform numerical simulation analysis on the stress and deformation of the main body and supporting structure during the foundation pit excavation process based on the information in the BIM three-dimensional model to obtain the deformation data of the foundation pit. The results of the finite element simulation can be fed back to the BIM model to update the stress and deformation information in the model, and can also be used as input data for the digital twin model structure to construct the target three-dimensional model.

[0065] For example, the ABAQUS finite element analysis of the deformation of the soil and supporting structure of a deep foundation pit may include: using ABAQUS finite element software to perform numerical simulation analysis on the stress and deformation of the soil and supporting structure during the foundation pit excavation process, which may include modeling, meshing, given material properties, given boundary conditions, initial conditions and loading conditions, etc. Simulating the foundation pit excavation can use multiple load steps to simulate the actual construction process, while considering the problem of nonlinear analysis and contact analysis that is difficult to converge, and using multiple steps to gradually approach the final state.

[0066] Optionally, as the earthwork excavation proceeds, the horizontal displacement of the support structure gradually increases, the maximum horizontal displacement position gradually moves downward along the Z axis, and finally stabilizes in the lower middle part of the foundation pit. The measured value of the horizontal displacement of the support structure at the observation point (for example, J1 measurement point) during the foundation pit excavation process with the depth is compared with the simulated value to verify the feasibility of the model.

[0067] As an optional implementation, the deformation data is determined based on the force data, including: simulating the force data to obtain the movement data of the original structure during the construction process; and determining the deformation data based on the movement data.

[0068] In this embodiment, the force data can be simulated to obtain the movement data of the original structure during the construction process, and the deformation data can be determined based on the movement data. The above movement data may include information such as the movement direction and movement angle of the original structure. It should be noted that this is only an example and the type of movement data is not specifically limited.

[0069] As an optional implementation, step S106, based on the deformation data, adjusts the original three-dimensional model of the foundation pit to obtain a target three-dimensional model, including: fusing the deformation data with the attribute data of the original three-dimensional model to obtain fused data; and generating a target three-dimensional model based on the fused data.

[0070] In this embodiment, the deformation data and the attribute information of the original three-dimensional model can be fused to obtain fused data, which can be used to characterize the state of the foundation pit after the structure changes. Based on the fused data, a target three-dimensional model can be generated.

[0071] Optionally, digital twin technology can connect physical devices in the physical world with virtual devices in the information world to increase the flexibility of the production system, improve production efficiency and product quality, and reduce energy and material consumption. In foundation pit engineering, by analyzing multi-source monitoring data (which can be referred to as monitoring data), the state of the foundation pit can be determined, engineering hazards can be discovered in time, and effective measures can be taken to reduce engineering risks.

[0072] For example, real-time monitoring data such as surface settlement, wall inclination, soil inclination, and support axial force of sensors buried at the foundation pit construction site can be collected and processed in spatial coordinates. Code (e.g., Python) is used to extract data and organize logic, and the triangular mesh contour filling (tr icontourf()) function in the submodule (e.g., pyplot module) of the drawing library (e.g., matplotlib library) is called to draw a vector cloud map of the force and deformation of the foundation pit on the unstructured triangular mesh, thereby establishing a measured model of the foundation pit construction. The vector cloud map can be used in the form of a mask grayscale map to simulate real vector changes based on grayscale changes through a material system (e.g., UE4). BIM models from different sources and formats can be converted into a common format (e.g., FBX format, OBJ format), or directly exported to a specific format (e.g., .udatasmith format) through a plug-in (e.g., Datasmith plug-in), with BIM construction attribute information attached. The model can be processed by software (for example, DCC software) to enrich the model details and process the texture lighting UV.

[0073] Optionally, the digital twin model can restore the scene of the foundation pit construction site, the surface surrounding environment, and the underground geological body in real life, establish a twin scene, use the Unreal Engine to build an immersive experience, and perform high-fidelity rendering. Furthermore, the numerical simulation model (i.e., finite element analysis model) analyzed in advance can be integrated into the original three-dimensional model through file conversion into an input file of the virtual engine to generate a target three-dimensional model.

[0074] Optionally, the force and deformation information in the BIM model can be indirectly updated through the finite element simulation model to more accurately reflect the structural status of the foundation pit.

[0075] For example, deformation data can be obtained by using a finite element simulation model, and parameters such as elastic modulus and internal friction angle can be determined based on the deformation data. Based on the deformation parameters, the original three-dimensional model's attribute information can be fused to obtain fused data. The above attribute information can be used to determine the lateral contraction and longitudinal extension of the foundation pit, the volume of pores in the rock and soil mass, and other information, which can be used to characterize the structure of the foundation pit. Using the fused data, a target three-dimensional model can be generated. Among them, the above fused data can be used to characterize parameters such as elastic modulus and internal friction angle to be adjusted.

[0076] Optionally, the elastic modulus can be a measure of the stiffness of the rock and soil mass, the Poisson's ratio can be used to describe the proportional relationship between the lateral contraction and longitudinal elongation of the rock and soil mass when subjected to stress, the shear modulus is a measure of the rock and soil mass's ability to resist shear stress, the porosity ratio describes the proportional relationship between the volume of pores in the rock and soil mass and the total volume, and the saturation refers to the degree to which the pores in the rock and soil mass are filled with water or other fluids. The accuracy of the above-mentioned physical and mechanical parameters of the rock and soil mass is crucial to the reliability and accuracy of the numerical modeling of the foundation pit. After the simulation is completed, for situations with large differences, the elastic modulus E, cohesion c, internal friction angle Φ, Poisson's ratio r and other parameters of the soil layer can be adjusted. Combined with the surrounding environment, geological conditions, construction plan, and engineering overview of the site, the prediction model and parameter values ​​are corrected by back analysis, and the simulation value results are inverted to optimize the error with the measured results, determine the best parameter inversion method, and provide the system with a parameter inversion program script to be applied to the prediction analysis of subsequent similar projects.

[0077] In this embodiment, deformation data is obtained, and the deformation data can be fused with attribute data to obtain fused data. The fused data can be the corrected attribute data, so that a target three-dimensional model can be generated based on the fused data. The fusion of deformation data and attribute data can be completed by modifying the attribute data using the deformation data. It should be noted that this is only an example and there is no specific limitation on the method of data fusion.

[0078] Optionally, the target three-dimensional model (i.e., digital twin model) constructed in the above manner not only integrates the static information of the BIM three-dimensional model and the dynamic analysis results of the finite element simulation, but also can access the latest monitoring data provided by the foundation pit monitoring and early warning system in real time to provide real-time guidance and decision support for foundation pit construction.

[0079] As an optional implementation, the method may also include: predicting the stability of the foundation pit at a future time based on the target three-dimensional model to obtain a prediction result; in response to the prediction result being that the stability at a future time is less than a stability threshold, issuing a prompt message.

[0080] In this embodiment, the target three-dimensional model can also be used to predict the stability of the foundation pit at a future time to obtain a prediction result. If the prediction result is that the stability is less than the stability threshold at a future time, a prompt message can be issued to indicate that the structure of the foundation pit is in danger. The prompt message can be text information, voice information, video information, image information, etc., and can be used to indicate the time, cause, location, and other information of the problem in the structure of the foundation pit. It should be noted that this is only an example, and the content of the prompt message issued is not specifically limited.

[0081] Optionally, a foundation pit monitoring and early warning module can be built, which can collect and process various monitoring data from the construction site, such as horizontal displacement of the top of the support structure, settlement monitoring, etc. The monitoring data can be directly used for early warning and decision support, and on the other hand, it can be used as one of the inputs for building a digital twin model to help the digital twin model to be continuously updated based on real-time monitored data to determine the real-time and accuracy of the generated target 3D model.

[0082] Optionally, based on the target three-dimensional model and multi-source monitoring data collected in real time, a prediction model can be used to predict changes in the structure of the foundation pit at future times to obtain prediction results, which can be used to determine changes in the stability of the structure.

[0083] For example, through on-site monitoring and measurement, the status information of foundation pit strata, groundwater, retaining structure and support system, and adjacent buildings (structures) can be obtained to ensure project safety and construction period. The purpose of foundation pit monitoring and early warning can include: ensuring the safety of the retaining system, protecting adjacent buildings (structures), understanding the changes in groundwater levels, and establishing early warning mechanisms.

[0084] Optionally, the foundation pit monitoring content may include horizontal position monitoring, vertical displacement monitoring and crack monitoring, such as horizontal displacement of the top of the supporting structure, settlement monitoring, building settlement monitoring, support axial force monitoring, column settlement monitoring, surface settlement monitoring, land inclinometer monitoring, on-site inspections, etc.

[0085] Optionally, monitoring of deep foundation pit projects can include monitoring of support structures and the surrounding environment. The stress and deformation data monitored in the previous excavation can be compared with the force and deformation of the support structure in the design, and the original design can be evaluated to determine the safety of the foundation pit under the current excavation conditions. The deformation and stability of the support structure under the next condition can be predicted through reverse analysis, providing reliable information for optimizing the design, making recommendations for subsequent excavation and support plans, and providing alarms for possible dangerous situations that may occur during the construction process to ensure the safety of the foundation pit project.

[0086] Optionally, the processing of foundation pit monitoring data may include horizontal displacement analysis of support structures, analysis of settlement and settlement rate, support axial force and anchoring force analysis, groundwater level analysis, comprehensive analysis and mutual comparison of various monitoring results, and analysis of the impact of foundation pit excavation on the surrounding environment based on monitoring data. The various monitoring results can be compared with the design data to judge the rationality of the design and construction plans. When the monitoring information shows that the support structure is in danger within a limited time, it should be reinforced in time; when it shows that the safety is very high, the support density and stiffness can be appropriately adjusted to reduce the project cost.

[0087] Optionally, the principles and contents of the foundation pit monitoring scheme design may include: Principles may include reliability, multi-level, key monitoring areas, convenience and practicality, economic rationality, displacement-based, overall control and compliance with engineering needs, etc. Contents may include determining the purpose of monitoring, selecting monitoring items, determining the arrangement of measurement points and monitoring frequency, establishing a monitoring results feedback system, formulating protection measures for monitoring points and closely coordinating with the construction organization plan, etc.

[0088] In this embodiment, through the technical solution of data fusion, the stability of the foundation pit can be evaluated more comprehensively and accurately, and the scientificity and reliability of the evaluation can be improved. It can be manifested in the following aspects: First, comprehensive use of various monitoring technologies such as GBSAR and total station to obtain richer and more accurate monitoring data of the foundation pit and surrounding areas, providing a more solid data foundation for stability evaluation. Second, by establishing a BIM three-dimensional model and conducting finite element simulation analysis, the mechanical behavior and deformation characteristics of the foundation pit can be understood more intuitively and deeply, providing a more effective analysis method for evaluation. Third, the construction of the digital twin model realizes the prediction and simulation of the entire life cycle of the foundation pit construction, which can detect potential problems in advance, take timely measures, and ensure the safety of the foundation pit project. Fourth, a complete foundation pit monitoring and early warning system can promptly detect abnormal conditions in the foundation pit, provide timely guidance and decision-making support for engineering construction, and effectively avoid accidents.

[0089] Optionally, after the BIM three-dimensional model (i.e., the original three-dimensional model) is generated, the monitoring information collected at the monitoring point can be transmitted to the deformation monitoring system, and the results of the finite element simulation analysis can be fed back to the BIM model as part of the digital twin model. During the model construction process, the data twin model can integrate the BIM three-dimensional model, the finite element simulation results, and the real-time monitoring data of the foundation pit monitoring and early warning system to form a comprehensive and dynamic foundation pit construction virtual model. The above-mentioned foundation pit monitoring and early warning system not only provides the latest monitoring data for the digital twin model, but also directly supports the safety management and decision-making of the project.

[0090] In an embodiment of the present application, the deformation data of the foundation pit is determined based on multi-source monitoring data, the original three-dimensional model is called, and the original three-dimensional model is adjusted based on the deformation data to obtain the target three-dimensional model, and the target three-dimensional model is judged to determine the stability of the foundation pit, thereby solving the technical problem of low accuracy in stability assessment of the foundation pit and achieving the technical effect of improving the accuracy of determining the stability assessment of the foundation pit.

[0091] The present application is further described below with reference to another embodiment.

[0092] At present, the determination of foundation pit stability is usually based on a single data source for analysis. However, this method only relies on the geological parameters in the geotechnical engineering survey report to evaluate the stability of the foundation pit. In the specific evaluation process, it is only carried out through empirical formulas or numerical simulation methods. For example, some empirical formulas are summarized based on a large number of engineering practices and have certain reference value. However, there are obvious limitations in its scope of application. Because the geological conditions in different regions vary greatly, the geological structure, soil texture, groundwater distribution and other factors are different. The above huge differences may cause the evaluation results to be seriously inconsistent with the actual situation. Although the numerical simulation method can consider a variety of factors in theory, in actual operation, the establishment of the model requires a lot of simplified assumptions on complex geological conditions. Moreover, the selection of parameters usually depends on experience and test data, which will inevitably affect the accuracy of the evaluation results to a certain extent. In addition, geological conditions may change over time, such as the dynamic changes of groundwater and soil creep, and it is difficult to accurately reflect the impact of these dynamic changes on the stability of the foundation pit by relying solely on static geological parameters for evaluation.

[0093] On the other hand, by reasonably setting up monitoring points around the foundation pit, key data can be obtained at the monitoring points. Subsequently, the stability of the foundation pit can be judged based on the set threshold. However, this method can only reflect the local situation of the location of the monitoring point, and lacks comprehensiveness for the stability assessment of the entire foundation pit. The instability of the foundation pit is usually caused by the changes in complex geological conditions in multiple regions. Relying only on the data of local monitoring points, it is impossible to fully capture these potential risk factors. Moreover, the number and location of the monitoring points will also affect the evaluation results. If the number of monitoring points is too small or the location is unreasonable, some important deformation areas may be missed, resulting in misjudgment of the stability of the foundation pit. In addition, the accuracy of the monitoring data is also affected by the accuracy of the monitoring instrument, the installation quality and environmental factors. For example, severe weather conditions and interference from surrounding construction activities may affect the reliability of the monitoring data.

[0094] In summary, the prior art has the following disadvantages:

[0095] 1. Data singleness limitation. That is, the method that relies solely on geotechnical engineering survey report data has the problem of being unable to reflect the dynamic changes of the foundation pit during the construction process in real time. Because the geological parameters are obtained during the survey stage, various factors (such as groundwater changes, construction disturbances, etc.) may cause the actual situation to be inconsistent with the survey results during the construction process, thus affecting the accuracy of the assessment. For example, in some areas with high groundwater levels, groundwater leakage and other situations may occur during construction, changing the physical properties of the soil, but the assessment based on the survey report cannot capture these changes in time. Alternatively, the method that relies solely on monitoring data lacks comprehensive consideration of the overall geological conditions of the foundation pit. Monitoring data can only reflect local deformation, and some potential geological risks (such as the distribution of unmonitored soft soil layers) cannot be effectively identified, and some key factors that lead to foundation pit instability may be missed. For example, if the soft soil layer is located in the area between monitoring points, the potential threat of the soft soil layer to the stability of the foundation pit may not be discovered through the monitoring point data alone.

[0096] 2. The problem of poor accuracy. In related technologies, the evaluation method is only based on empirical formulas. However, the scope of application of the formulas is limited, and the geological conditions in different regions vary greatly, which may cause the evaluation results to deviate greatly from the actual situation. For example, some empirical formulas are summarized under specific geological conditions. When applied to other areas with greatly different geological conditions, they may not accurately reflect the actual stability of the foundation pit. Although the numerical simulation method can take into account a variety of factors, the establishment of the model requires a lot of assumptions and simplifications, and the selection of parameters will rely on experience and experiments, which will affect the accuracy of the evaluation results. For example, when simulating the constitutive relationship of the soil, the complex mechanical behavior of the soil may be simplified, resulting in differences between the simulation results and the actual situation.

[0097] 3. It is impossible to conduct comprehensive analysis of multi-source data. In other words, in the relevant technologies, only a single data source is analyzed independently, and data from different sources are not effectively integrated and comprehensively analyzed. It is impossible to fully utilize the advantages of various data and it is difficult to comprehensively and accurately evaluate the stability of the foundation pit. For example, it is impossible to combine the geological parameters in the survey report with the monitoring data to comprehensively consider the stability of the foundation pit, and some important mutual influence relationships may be ignored.

[0098] In view of the above shortcomings, this embodiment proposes a foundation pit stability assessment method based on data fusion. The method integrates real-time monitoring data and survey report data to achieve real-time dynamic data integration of multi-source monitoring data, thereby solving the problems of data uniformity and fusion. For example, during the construction process, dynamic monitoring data such as groundwater level changes and soil displacement rate are obtained in real time, and fused and analyzed with the geological parameters in the initial survey report, so as to more comprehensively capture the impact of various factors on the foundation pit stability during the construction process, and avoid inaccurate assessment results due to the limitations of a single data source.

[0099] Optionally, the multi-source monitoring data may include dynamic monitoring data, and geological parameters in the initial survey report, such as soil type, porosity, etc. It should be noted that this is only an example and there is no specific limitation on the type of multi-source monitoring data.

[0100] Optionally, in order to overcome the deficiency of relying solely on monitoring data and lacking a comprehensive consideration of the overall geological conditions of the foundation pit, multiple data sources can also be integrated. In addition to the monitoring data and survey report data mentioned above, the multi-source monitoring data can also include surrounding environmental data, such as the foundation form of nearby buildings, load conditions, and historical engineering case data. Through the comprehensive analysis of these multi-source monitoring data, we can have a deeper understanding of the geological and environmental background of the foundation pit, and thus more accurately evaluate its stability.

[0101] In this embodiment, in order to improve the accuracy of the evaluation, it is also possible to establish a more universal empirical formula system by analyzing and summarizing a large number of foundation pit engineering data in different regions and under different geological conditions, or to modify and optimize the empirical formula in combination with advanced numerical simulation technology to improve its accuracy under different geological conditions.

[0102] In view of the problem that the numerical simulation method needs a lot of assumptions and simplifications in model establishment and the parameter selection depends on experience and experiments, which affects the accuracy of the evaluation results, in this embodiment, on the one hand, a more sophisticated soil constitutive model is used to reduce the simplified processing of the complex mechanical behavior of the soil and more realistically reflect the deformation characteristics of the soil under different stress states. On the other hand, through advanced parameter inversion technology, the parameters in the numerical simulation are adjusted and optimized in real time in combination with field monitoring data to improve the accuracy and reliability of the model.

[0103] In this embodiment, in order to make up for the defects of the prior art in lacking data fusion and comprehensive analysis, a model that can effectively associate different data sources can be constructed. The model will be able to identify the inherent connections between different data, for example, the connection between soil displacement in monitoring data and soil strength in the survey report, and the mutual influence relationship between surrounding environmental data and foundation pit stability. By establishing such a data association model, the potential information of different data sources can be fully explored, providing strong support for the comprehensive and accurate assessment of foundation pit stability. Among them, the models of the above-mentioned different data sources can include: BIM three-dimensional model, finite element simulation analysis model of the foundation pit and digital twin model. The comprehensive use of the above-mentioned models can achieve the purpose of analyzing the structure of the foundation pit and the transformation of the foundation pit structure.

[0104] Optionally, based on the establishment of the data association model, the embodiment can further explore intelligent analysis methods to achieve automated comprehensive analysis of multi-source data. For example, a large amount of foundation pit engineering data can be learned and trained using a machine learning algorithm, so that it can automatically identify the stability characteristics of the foundation pit under different data modes, and perform rapid and accurate stability assessment based on real-time input data. This intelligent comprehensive analysis method can improve the efficiency and accuracy of the assessment, while reducing the impact of human factors on the assessment results.

[0105] Optionally, the foundation pit stability assessment method based on data fusion provided by this embodiment can solve the problems existing in traditional foundation pit stability assessment methods, such as strong dependence on human expertise, low efficiency, strong subjectivity, inaccurate geological information, and difficulty in accurate time series analysis. This can improve the accuracy and reliability of foundation pit stability assessment, and further solve the technical problem of low accuracy of foundation pit stability assessment, thereby achieving the technical effect of improving the accuracy of determining the stability assessment of the foundation pit.

[0106] Figure 2 is a flow chart of a method for evaluating foundation pit stability based on data fusion according to an embodiment of the present application, such as Figure 2 As shown, the method may include the following steps:

[0107] Step S202: Collect multi-source monitoring data.

[0108] In this embodiment, the GBSAR system and the total station can be used to acquire monitoring data, and the monitoring data can be preprocessed and verified.

[0109] Optionally, this embodiment utilizes a variety of monitoring technologies such as GBSAR and total station to acquire data, and processes and verifies the data, thereby realizing the integration of multiple monitoring technologies and providing a richer and more accurate data basis for stability assessment.

[0110] For example, GBSAR monitoring data can be processed to obtain relevant information, and the relevant information can be corrected and verified using total station measurement data to obtain multi-source monitoring data with high accuracy.

[0111] Step S204: establishing a BIM three-dimensional model.

[0112] In this embodiment, a BIM three-dimensional model (ie, an original three-dimensional model) can be constructed by using multi-source monitoring data of the foundation pit and historical multi-source monitoring data.

[0113] Optionally, the foundation pit and its surrounding environment model obtained by fast and high-precision modeling with BIM modeling software (such as Revit) can be used to reasonably and intuitively map monitoring points at different locations of the project to the three-dimensional model during the foundation pit excavation stage. Through three-dimensional digital simulation and restoration, three-dimensional visual foundation pit monitoring can be achieved.

[0114] For example, Revit can be selected for BIM modeling, and the monitoring points can be reasonably mapped to the three-dimensional model, the spatial position relationship between the monitoring points can be analyzed, the effective transmission of the model monitoring point data can be achieved, and related technologies can be used to reflect the deformation of the foundation pit in three dimensions.

[0115] Step S206: finite element simulation analysis of the foundation pit.

[0116] In this embodiment, multi-source monitoring data is transmitted to the ABAQUS finite element software through the software interface of the ABAQUS finite element software. The ABAQUS finite element software can be used to perform numerical simulation analysis on the stress and deformation of the soil and support structure during the foundation pit excavation process to obtain the deformation data of the foundation pit.

[0117] Optionally, this embodiment can determine the deformation data of the foundation pit by determining the stress conditions at different positions in the foundation pit. It should be noted that this is only an example and does not specifically limit the method of determining the deformation data.

[0118] Optionally, a method for numerical simulation analysis of soil and support structure during foundation pit excavation is performed based on ABAQUS software. The method may include modeling, meshing, given material properties, given boundary conditions, initial conditions and loading conditions, and the method may also verify the simulation results.

[0119] Step S208, constructing a digital twin model.

[0120] In this embodiment, an original three-dimensional model constructed in advance or in real time based on historical monitoring data can be obtained. The dynamic analysis results (ie, deformation data) of the finite element simulation are obtained, and the parameters of the original three-dimensional model are adjusted based on the deformation data, so as to obtain a target three-dimensional model.

[0121] Optionally, real-time monitoring data is collected and processed in spatial coordinates. Python code can be used to extract data and organize logic, call relevant functions to draw vector cloud maps to establish measured models, export BIM models in different formats with attribute information, process the original three-dimensional model through DCC software, use PBR process for scene representation, establish twin scenes and render them, and integrate deformation data into BIM real scenes, so as to obtain the target three-dimensional model.

[0122] Optionally, the adjustment of the above parameters may include: adjusting the physical and mechanical parameters of the rock and soil such as elastic modulus and internal friction angle. Combined with the surrounding environment, geological conditions, construction plan, and engineering overview of the site, the attribute information of the model can be reversely analyzed to correct the prediction model and parameter values ​​to determine the optimal parameter inversion method and provide a parameter inversion program script.

[0123] Step S210, monitoring and early warning of the foundation pit.

[0124] In this embodiment, an alarm mechanism can be constructed in advance, which can determine situations where an alarm is required, and analyze various data of the foundation pit based on the target three-dimensional model to determine whether prompt information needs to be output.

[0125] Optionally, the monitoring and early warning of foundation pits may include: monitoring of horizontal position, monitoring of vertical displacement, and monitoring of cracks, etc. It is also possible to compare the stress and deformation data with the design to evaluate the safety status of the original design, predict the deformation and stability of the support structure under the next working condition through reverse analysis, provide reliable information for optimizing the design, and make suggestions for subsequent excavation and support plans, and provide monitoring methods for alarming dangerous situations that may occur during the construction process.

[0126] Optionally, data processing methods such as horizontal displacement analysis of the supporting structure, analysis of settlement and settlement rate, support axial force and anchoring force analysis, groundwater level analysis, comprehensive analysis and mutual comparison of various monitoring results, analysis of the impact of foundation pit excavation on the surrounding environment based on monitoring data, and adjustment of design and construction plans based on monitoring information are performed.

[0127] In this embodiment, by integrating multiple monitoring data and analysis methods, the stability of the foundation pit can be evaluated more comprehensively and accurately, reducing the errors caused by single data and methods, thereby achieving the purpose of improving the accuracy of the evaluation. Various factors in the foundation pit construction process, such as geological conditions, support structures, and surrounding environment, are also comprehensively considered to make the evaluation results more reliable.

[0128] Optionally, the construction of a digital twin model can realize the prediction and simulation of the entire life cycle of foundation pit construction, detect potential problems in advance, take timely measures, and avoid accidents.

[0129] Optionally, through the analysis and feedback of monitoring data, the design and construction plan of the foundation pit can be optimized to improve the safety and economy of the project. The three-dimensional visualization foundation pit monitoring and information management platform based on BIM can improve the efficiency of monitoring and management, reduce manual intervention, and reduce management costs, so that this method can cope with large-scale and complex foundation pit projects and solve the limitations of traditional evaluation methods when facing these projects.

[0130] Optionally, by real-time monitoring of the status information of the foundation pit, abnormal situations can be discovered and early warnings can be issued in a timely manner, providing timely guidance and decision-making support for engineering construction.

[0131] It should be noted that the embodiments of the present application can be implemented by hardware, software, or a combination of software and hardware. The hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated design hardware. A person of ordinary skill in the art will appreciate that the above-mentioned devices and methods can be implemented using computer executable instructions and / or contained in a processor control code, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium. The device and its modules of the present application can be implemented by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., can also be implemented by software executed by various types of processors, and can also be implemented by a combination of the above-mentioned hardware circuits and software, such as firmware.

[0132] The above are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any modifications, equivalent substitutions and improvements made by any technician familiar with the technical field within the technical scope disclosed in the present application and within the spirit and principles of the present application should be covered within the protection scope of the present application.

[0133] According to an embodiment of the present application, a device for determining the stability of a foundation pit is also provided. It should be noted that the device for determining the stability of a foundation pit of this embodiment can be used to execute the method for determining the stability of a foundation pit of the above embodiment of the present application.

[0134] Figure 3 Schematic diagram of a device for determining the stability of a foundation pit according to an embodiment of the present application. Figure 3As shown, the device 30 for determining the stability of the foundation pit may include: an acquisition unit 302 , a first determination unit 304 , an adjustment unit 306 and a second determination unit 308 .

[0135] The acquisition unit 302 is used to acquire multi-source monitoring data of the foundation pit during the foundation pit construction process.

[0136] The first determination unit 304 is used to determine deformation data of the foundation pit based on the multi-source monitoring data, wherein the deformation data is used to characterize the deformation of the original structure of the foundation pit.

[0137] The adjustment unit 306 is used to adjust the original three-dimensional model of the foundation pit based on the deformation data to obtain a target three-dimensional model, wherein the original three-dimensional model is used to characterize the original structure of the foundation pit, and the target three-dimensional model is used to characterize the original structure of the foundation pit after deformation.

[0138] The second determination unit 308 is used to determine the stability of the foundation pit based on the target three-dimensional model.

[0139] The device for determining the stability of the foundation pit of this embodiment obtains multi-source monitoring data of the foundation pit through an acquisition unit during the construction of the foundation pit; determines the deformation data of the foundation pit based on the multi-source monitoring data through a first determination unit, wherein the deformation data is used to characterize the deformation of the original structure of the foundation pit; adjusts the original three-dimensional model of the foundation pit based on the deformation data through an adjustment unit to obtain a target three-dimensional model, wherein the original three-dimensional model is used to characterize the original structure of the foundation pit, and the target three-dimensional model is used to characterize the original structure of the foundation pit after deformation; determines the stability of the foundation pit based on the target three-dimensional model through a second determination unit, thereby solving the technical problem of low accuracy in stability assessment of the foundation pit and achieving the technical effect of improving the accuracy of determining the stability assessment of the foundation pit.

[0140] The embodiment of the present application may provide a computer terminal, which may be any computer terminal device in a computer terminal group. Optionally, in this embodiment, the computer terminal may also be replaced by a terminal device such as a mobile terminal.

[0141] Optionally, in this embodiment, the computer terminal may be located in at least one network device among a plurality of network devices of the computer network.

[0142] In this embodiment, the above-mentioned computer terminal can execute the program code of the following steps in the method for determining the stability of the foundation pit: during the foundation pit construction process, obtain multi-source monitoring data of the foundation pit; based on the multi-source monitoring data, determine the deformation data of the foundation pit, wherein the deformation data is used to characterize the deformation of the original structure of the foundation pit; based on the deformation data, adjust the original three-dimensional model of the foundation pit to obtain a target three-dimensional model, wherein the original three-dimensional model is used to characterize the original structure of the foundation pit, and the target three-dimensional model is used to characterize the original structure of the foundation pit after deformation; based on the target three-dimensional model, determine the stability of the foundation pit.

[0143] Optionally, Figure 4 is a structural block diagram of a computer terminal according to an embodiment of the present application, such as Figure 4 As shown, the computer terminal 408 may include: one or more (only one is shown in the figure) processors 402 , a memory 404 and a transmission device 406 .

[0144] Among them, the memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the method and device for determining the stability of the foundation pit in the embodiment of the present application. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, the above-mentioned method for determining the stability of the foundation pit is realized. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include a memory remotely arranged relative to the processor, and these remote memories can be connected to the computer terminal 408 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0145] The processor can call the information and application programs stored in the memory through the transmission device to perform the following steps: during the foundation pit construction process, obtain multi-source monitoring data of the foundation pit; based on the multi-source monitoring data, determine the deformation data of the foundation pit, wherein the deformation data is used to characterize the deformation of the original structure of the foundation pit; based on the deformation data, adjust the original three-dimensional model of the foundation pit to obtain a target three-dimensional model, wherein the original three-dimensional model is used to characterize the original structure of the foundation pit, and the target three-dimensional model is used to characterize the original structure of the foundation pit after deformation; based on the target three-dimensional model, determine the stability of the foundation pit.

[0146] It can be understood by those skilled in the art that Figure 4The structure shown is for illustration only, and the computer terminal 408 may also be a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a PDA, a mobile Internet device (Mobile Internet Devices, referred to as MID), a PAD, or other terminal devices. Figure 4 The structure of the computer terminal 408 is not limited. For example, the computer terminal 408 may also include Figure 4 More or fewer components (such as network interfaces, display devices, etc.) shown in, or having Figure 4 Different configurations shown.

[0147] A person 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 the hardware related to the terminal device through a program, and the program can be stored in a computer-readable storage medium, and the storage medium may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0148] According to an embodiment of the present application, a computer-readable storage medium is also provided, which includes a stored program, wherein the program executes the method for determining the stability of the foundation pit in the above embodiment.

[0149] Optionally, in this embodiment, the computer-readable storage medium may be located in any one of the computer terminals in a computer terminal group in a computer network, or in any one of the mobile terminals in a mobile terminal group.

[0150] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for executing the following steps: during the foundation pit construction process, obtaining multi-source monitoring data of the foundation pit; based on the multi-source monitoring data, determining the deformation data of the foundation pit, wherein the deformation data is used to characterize the deformation of the original structure of the foundation pit; based on the deformation data, adjusting the original three-dimensional model of the foundation pit to obtain a target three-dimensional model, wherein the original three-dimensional model is used to characterize the original structure of the foundation pit, and the target three-dimensional model is used to characterize the original structure of the foundation pit after deformation; based on the target three-dimensional model, determining the stability of the foundation pit.

[0151] Optionally, the computer-readable storage medium may also execute program code for the following steps: determining the similarity between the target three-dimensional model and the abnormal three-dimensional model, wherein the abnormal three-dimensional model is used to characterize the original structure of the foundation pit under an abnormal state; in response to the similarity being greater than a similarity threshold, determining that the stability is less than a stability threshold; in response to the similarity being less than or equal to a similarity threshold, determining that the stability is greater than the stability threshold.

[0152] Optionally, the computer-readable storage medium may also execute program codes for the following steps: determining force data of the structure in the foundation pit based on multi-source monitoring data; and determining deformation data based on the force data.

[0153] Optionally, the computer-readable storage medium may also execute program codes of the following steps: simulating the force data to obtain movement data of the original structure during the construction process; and determining deformation data based on the movement data.

[0154] Optionally, the computer-readable storage medium may also execute program code for the following steps: fusing the deformation data with the attribute data of the original three-dimensional model to obtain fused data; and generating a target three-dimensional model based on the fused data.

[0155] Optionally, the computer-readable storage medium may also execute program code of the following steps: based on the target three-dimensional model, predict the stability of the foundation pit at a future time to obtain a prediction result; in response to the prediction result that the stability is less than a stability threshold at a future time, issue a prompt message.

[0156] In this embodiment, the deformation data of the foundation pit is determined based on multi-source monitoring data, the original three-dimensional model is called, and the original three-dimensional model is adjusted based on the deformation data to obtain the target three-dimensional model, and the target three-dimensional model is judged to determine the stability of the foundation pit, thereby solving the technical problem of low accuracy in stability assessment of the foundation pit and achieving the technical effect of improving the accuracy of determining the stability assessment of the foundation pit.

[0157] According to an embodiment of the present application, a processor is also provided, which is used to run a program, wherein when the program is run by the processor, the method for determining the stability of the foundation pit in the above embodiment is executed.

[0158] Optionally, in this embodiment, the computer terminal may be located in at least one network device among a plurality of network devices of the computer network.

[0159] In this embodiment, the above-mentioned computer terminal can execute the program code of the following steps in the method for determining the stability of the foundation pit: during the foundation pit construction process, obtain multi-source monitoring data of the foundation pit; based on the multi-source monitoring data, determine the deformation data of the foundation pit, wherein the deformation data is used to characterize the deformation of the original structure of the foundation pit; based on the deformation data, adjust the original three-dimensional model of the foundation pit to obtain a target three-dimensional model, wherein the original three-dimensional model is used to characterize the original structure of the foundation pit, and the target three-dimensional model is used to characterize the original structure of the foundation pit after deformation; based on the target three-dimensional model, determine the stability of the foundation pit.

[0160] Among them, the memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the method and device for determining the stability of the foundation pit in the embodiment of the present application. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, the above-mentioned method for determining the stability of the foundation pit is realized. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include a memory remotely arranged relative to the processor, and these remote memories can be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0161] The processor can call the information and application programs stored in the memory through the transmission device to perform the following steps: during the foundation pit construction process, obtain multi-source monitoring data of the foundation pit; based on the multi-source monitoring data, determine the deformation data of the foundation pit, wherein the deformation data is used to characterize the deformation of the original structure of the foundation pit; based on the deformation data, adjust the original three-dimensional model of the foundation pit to obtain a target three-dimensional model, wherein the original three-dimensional model is used to characterize the original structure of the foundation pit, and the target three-dimensional model is used to characterize the original structure of the foundation pit after deformation; based on the target three-dimensional model, determine the stability of the foundation pit.

[0162] Optionally, the processor may also execute program code for the following steps: determining the similarity between the target three-dimensional model and the abnormal three-dimensional model, wherein the abnormal three-dimensional model is used to characterize the original structure of the foundation pit under an abnormal state; in response to the similarity being greater than a similarity threshold, determining that the stability is less than a stability threshold; in response to the similarity being less than or equal to a similarity threshold, determining that the stability is greater than the stability threshold.

[0163] Optionally, the processor may also execute program codes of the following steps: determining the stress data of the structure in the foundation pit based on multi-source monitoring data; and determining deformation data based on the stress data.

[0164] Optionally, the processor may also execute program codes of the following steps: simulating the force data to obtain the movement data of the original structure during the construction process; and determining the deformation data based on the movement data.

[0165] Optionally, the processor may also execute program codes of the following steps: fusing the deformation data with the attribute data of the original three-dimensional model to obtain fused data; and generating a target three-dimensional model based on the fused data.

[0166] Optionally, the processor may also execute program code of the following steps: based on the target three-dimensional model, predict the stability of the foundation pit at a future moment to obtain a prediction result; in response to the prediction result that the stability is less than a stability threshold at a future moment, issue a prompt message.

[0167] By adopting the embodiment of the present application, the deformation data of the foundation pit is determined based on multi-source monitoring data, the original three-dimensional model is called, and the original three-dimensional model is adjusted based on the deformation data to obtain the target three-dimensional model, and the target three-dimensional model is judged to determine the stability of the foundation pit, thereby solving the technical problem of low accuracy of stability assessment of the foundation pit and achieving the technical effect of improving the accuracy of determining the stability assessment of the foundation pit.

[0168] According to an embodiment of the present application, a computer program product is also provided. The computer program product includes computer instructions, wherein when the computer instructions are executed by a processor, the method for determining the stability of the foundation pit in the above embodiment is implemented.

[0169] An embodiment of the present application may provide an electronic device, which may include a memory and a processor.

[0170] Figure 5 It is a block diagram of an electronic device for determining the stability of a foundation pit according to an embodiment of the present application. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are only examples and are not intended to limit the implementation of the present application described and / or required herein.

[0171] like Figure 5 As shown, the device 500 includes a computing unit 501, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 502 or a computer program loaded from a storage unit 508 to a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the device 500 can also be stored. The computing unit 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0172] A number of components in the device 500 are connected to the I / O interface 505, including: an input unit 506, such as a keyboard, a mouse, etc.; an output unit 507, such as various types of displays, speakers, etc.; a storage unit 508, such as a disk, an optical disk, etc.; and a communication unit 509, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 509 allows the device 500 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0173] The computing unit 501 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The computing unit 501 performs the various methods and processes described above, such as a verification method for data. For example, in some embodiments, the verification method for data may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 508. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 500 via the ROM 502 and / or the communication unit 509. When the computer program is loaded into RAM 503 and executed by the computing unit 501, one or more steps of the data verification method described above may be performed. Alternatively, in other embodiments, the computing unit 501 may be configured to perform the data verification method in any other appropriate manner (e.g., by means of firmware).

[0174] According to an embodiment of the present application, a method for determining the stability of a foundation pit is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0175] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor that may be a dedicated or general purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0176] The program code for implementing the method of the present application can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0177] In the context of the present application, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0178] To provide interaction with a user, the systems and techniques described herein may be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or an LCD (liquid crystal display, monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a path ball) through which the user can provide input to the computer. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0179] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a Local Area Network (LAN), a Wide Area Network (WAN), and the Internet.

[0180] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0181] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0182] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0183] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. 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 mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0184] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0185] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0186] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of each embodiment method of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc. Various media that can store program codes.

[0187] The above are only preferred implementations of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for determining the stability of a foundation pit, characterized in that: include: During the foundation pit construction, obtaining multi-source monitoring data of the foundation pit; Determining deformation data of the foundation pit based on the multi-source monitoring data, wherein the deformation data is used to characterize the deformation of the original structure of the foundation pit; Based on the deformation data, the original three-dimensional model of the foundation pit is adjusted to obtain a target three-dimensional model, wherein the original three-dimensional model is used to characterize the original structure of the foundation pit, and the target three-dimensional model is used to characterize the original structure of the foundation pit after deformation; Based on the target three-dimensional model, the stability of the foundation pit is determined.

2. The method according to claim 1, characterized in that The step of determining the stability of the foundation pit based on the target three-dimensional model includes: Determining the similarity between the target three-dimensional model and the abnormal three-dimensional model, wherein the abnormal three-dimensional model is used to characterize the original structure of the foundation pit in an abnormal state; In response to the similarity being greater than a similarity threshold, determining that the stability is less than a stability threshold; In response to the similarity being less than or equal to the similarity threshold, determining that the stability is greater than the stability threshold.

3. The method according to claim 1, characterized in that The step of determining the deformation data of the foundation pit based on the multi-source monitoring data includes: Determining stress data of the structure in the foundation pit based on the multi-source monitoring data; Based on the force data, the deformation data is determined.

4. The method according to claim 3, characterized in that The step of determining the deformation data based on the force data comprises: Simulating the force data to obtain movement data of the original structure during the construction process; Based on the movement data, the deformation data is determined.

5. The method according to claim 1, characterized in that: The adjusting the original three-dimensional model of the foundation pit based on the deformation data to obtain the target three-dimensional model includes: Fusing the deformation data with the attribute data of the original three-dimensional model to obtain fused data; Based on the fused data, the target three-dimensional model is generated.

6. The method according to claim 1, characterized in that The method further comprises: Based on the target three-dimensional model, predicting the stability of the foundation pit at a future time, and obtaining a prediction result; In response to the prediction result that the stability is less than a stability threshold at the future moment, a prompt message is issued.

7. A device for determining the stability of a foundation pit, characterized in that: include: An acquisition unit, used for acquiring multi-source monitoring data of the foundation pit during the foundation pit construction process; a first determining unit, configured to determine deformation data of the foundation pit based on the multi-source monitoring data, wherein the deformation data is used to characterize the deformation of the original structure of the foundation pit; an adjustment unit, configured to adjust the original three-dimensional model of the foundation pit based on the deformation data to obtain a target three-dimensional model, wherein the original three-dimensional model is used to characterize the original structure of the foundation pit, and the target three-dimensional model is used to characterize the original structure of the foundation pit after deformation; The second determination unit is used to determine the stability of the foundation pit based on the target three-dimensional model.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 1 to 6.

9. A computer program product, characterized in that The method comprises computer instructions, which implement the method according to any one of claims 1 to 6 when executed by a processor.

10. A processor, characterized in that: The processor is used to run a program, wherein the program executes the method according to any one of claims 1 to 6 when run by the processor.

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