Foundation pit support design method and system based on digital twinning

Abstract

The invention relates to the technical field of foundation pit support design, and provides a foundation pit support design method and system based on digital twinning, and the method comprises the steps: building a digital twinning body related to a foundation pit and a support, and constructing a corresponding change curve according to the data of foundation pit excavation, substituting into the digital twinborn body to predict the mechanical parameters of the side wall of the foundation pit with the unexcavated depth to obtain second soil layer change prediction data; and according to the second soil layer change prediction data and the real-time foundation pit support data, the future support demand change of each part of the foundation pit is judged, and the foundation pit support is subjected to adaptive foundation pit reinforcement by coordinates, so that the foundation pit support cost is reduced, and the excavation and support efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of foundation pit support scheme design, and in particular to a foundation pit support design method and system based on digital twin. Background Art

[0002] In the existing technology, before a project is constructed, a foundation pit must be excavated first. However, during the excavation process, the soil layer at the edge may be at risk of overturning and sliding, affecting the stability of the foundation pit. In addition, a foundation pit support plan is generally set up before the excavation of the foundation pit. The cost of foundation pit support may vary by millions for foundation pits of the same size, greatly affecting the overall project cost. Summary of the Invention

[0003] The present invention provides a foundation pit support design method based on digital twin, which is used to solve the problems of low efficiency and difficult cost control in foundation pit support setting in the prior art.

[0004] A first aspect of the present invention provides a foundation pit support design method based on digital twins, comprising:

[0005] Obtain the current foundation pit data, set the corresponding minimum foundation pit support data according to the foundation pit data, and establish the corresponding digital twin model;

[0006] Acquire the current real-time data of foundation pit excavation, establish multiple real-time change curves of soil layer parameters, and make predictions based on the real-time change curves of soil layer parameters to obtain corresponding multiple soil layer parameter prediction curves; substitute the predicted soil layer parameters into the preset digital twin model to obtain discrete first soil layer mechanical change prediction data, and construct continuous second soil layer mechanical change prediction data around the foundation pit based on the mechanical change prediction data of each soil layer;

[0007] The current foundation pit support data in the digital twin model is obtained and compared with the predicted data of the mechanical changes of the second soil layer. The coordinates of the foundation pit support area that cannot meet the predicted data of the mechanical changes of the second soil layer are identified, and the foundation pit support reinforcement parameters are set according to the pressure difference.

[0008] Optionally, the prediction is performed based on the real-time change curve of the soil layer parameters to obtain corresponding multiple soil layer parameter prediction curves, specifically:

[0009] Obtain weather forecast data, obtain predicted precipitation data, make predictions based on the real-time change curve of soil layer parameters, and obtain corresponding multiple soil layer parameter prediction curves.

[0010] Optionally, after obtaining the current foundation pit support data in the digital twin model, the method further includes:

[0011] Obtain monitoring data of foundation pit support to determine whether the displacement and deformation of the support exceed the limit. If so, set the corresponding foundation pit support reinforcement parameters according to the excess value of the foundation pit support displacement and deformation.

[0012] The second aspect of the present application provides a foundation pit support design system based on digital twins, comprising:

[0013] The digital twin construction module is used to obtain the current foundation pit data, set the corresponding minimum foundation pit support data according to the foundation pit data, and establish the corresponding digital twin model;

[0014] The data prediction module is used to obtain the current real-time data of foundation pit excavation, establish multiple real-time change curves of soil layer parameters, and make predictions based on the real-time change curves of soil layer parameters to obtain corresponding multiple soil layer parameter prediction curves; substitute the predicted soil layer parameters into the preset digital twin model to obtain discrete first soil layer mechanical change prediction data, and construct continuous second soil layer mechanical change prediction data around the foundation pit based on the mechanical change prediction data of each soil layer;

[0015] The support design module is used to obtain the current foundation pit support data in the digital twin model and compare it with the predicted data of the mechanical changes of the second soil layer, identify the coordinates of the foundation pit support area that cannot meet the predicted data of the mechanical changes of the second soil layer, and set the foundation pit support reinforcement parameters according to the pressure difference.

[0016] Optionally, in the data prediction module, prediction is performed based on the real-time change curve of soil layer parameters to obtain corresponding multiple soil layer parameter prediction curves, specifically:

[0017] Obtain weather forecast data, obtain predicted precipitation data, make predictions based on the real-time change curve of soil layer parameters, and obtain corresponding multiple soil layer parameter prediction curves.

[0018] Optionally, in the data prediction module, after obtaining the current foundation pit support data in the digital twin model, the module further includes:

[0019] Obtain monitoring data of foundation pit support to determine whether the displacement and deformation of the support exceed the limit. If so, set the corresponding foundation pit support reinforcement parameters according to the excess value of the foundation pit support displacement and deformation.

[0020] A third aspect of the present application provides a foundation pit support design method and device based on digital twins, the device comprising a processor and a memory:

[0021] The memory is used to store program code and transmit the program code to the processor;

[0022] The processor is used to execute a foundation pit support design method based on digital twins as described in any one of the first aspects of the present invention according to the instructions in the program code.

[0023] The fourth aspect of the present application provides a computer-readable storage medium, which is used to store program code, and the program code is used to execute a foundation pit support design method based on digital twins as described in any one of the first aspects of the present invention.

[0024] It can be seen from the above technical solution that the present invention has the following advantages: establishing a digital twin related to the foundation pit and support, constructing a corresponding change curve based on the data of foundation pit excavation, substituting it into the digital twin to predict the mechanical parameters of the foundation pit side wall at the unexcavated depth, and obtaining the second soil layer change prediction data; judging the future support demand changes at various parts of the foundation pit based on the second soil layer change prediction data and the real-time foundation pit support data, and adaptively reinforcing the foundation pit support with coordinates, thereby reducing the foundation pit support cost and improving the efficiency of excavation and support. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 This is a flow chart of a foundation pit support design method based on digital twins;

[0027] Figure 2 This is a structural diagram of a foundation pit support design system based on digital twins. DETAILED DESCRIPTION

[0028] In order to make the purpose, features, and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0029] The present invention provides a foundation pit support design method based on digital twin, which is used to solve the problems of low efficiency and difficult cost control in foundation pit support setting in the prior art.

[0030] See also Figure 1 , Figure 1 The present invention provides a first flowchart of a foundation pit support design method based on digital twins.

[0031] S100, obtaining current foundation pit data, setting corresponding minimum foundation pit support data according to the foundation pit data, and establishing a corresponding digital twin model;

[0032] It should be noted that the foundation pit data is the foundation pit data required for the current project and the real-time excavation depth data of the foundation pit, that is, the length, width and depth data of the foundation pit that needs to be excavated in the end, the depth status of the foundation pit in real time, and the current foundation pit soil layer status. Based on these foundation pit data, the foundation pit part of the digital twin can be constructed, and while mapping the future preset foundation pit data, the real-time foundation pit status can also be mapped. The real-time foundation pit status includes the excavated depth of the foundation pit and the soil layer distribution, groundwater level, and geotechnical parameters, among which the geotechnical parameters include cohesion, internal friction angle, permeability coefficient, etc. Before excavation, a foundation pit support design scheme that meets the most basic requirements of anti-overturning stability, anti-slip stability and overall stability can be set based on the length, width and depth of the foundation pit required for the current project, and the situation where all depth soil layers of the foundation pit are considered to be consistent with the surface soil layer parameters. That is, the most basic support scheme in the case of no subsequent changes in soil layer density, water level changes, or seepage damage.

[0033] Mechanical analysis and stability verification can be performed based on the digital twin foundation pit, and the internal forces (bending moment and shear force) of the support structure required for anti-overturning and anti-slip stability can be calculated. Finite element software such as PLAXIS and MIDAS GTS can be used in conjunction with the digital twin to meet the requirements of the technical regulations for foundation pit support. After constructing the most basic foundation pit support scheme, the support part of the digital twin is constructed based on this minimum foundation pit support data, and bored cast-in-place piles or steel sheet piles are used to form pile support.

[0034] S200, obtaining real-time data of the current foundation pit excavation, establishing multiple real-time soil layer parameter change curves, and performing predictions based on the real-time soil layer parameter change curves to obtain corresponding multiple soil layer parameter prediction curves; substituting the predicted soil layer parameters into a preset digital twin model to obtain discrete first soil layer mechanical change prediction data, and constructing continuous second soil layer mechanical change prediction data surrounding the foundation pit based on the mechanical change prediction data of each soil layer;

[0035] It should be noted that during the excavation of the foundation pit, the data that changes with the excavation depth is recorded in real time. A soil compaction sensor can be used for real-time detection during the excavation process to obtain the relationship between the foundation pit depth and the change in soil layer density, and to construct a curve function of the relationship between the change in soil layer density and the depth of the foundation pit. The density of the soil layer is not uniform at different depths, but the foundation pit excavation is generally carried out at a consistent depth. For example, when the foundation pit is dug to a certain depth, the density parameters of the soil layer in a certain area and the soil layer in another area are greatly different. At this time, there may be differences in the demand for foundation pit support. In this case, multiple sensors can be set around the foundation pit intervals to obtain multiple real-time change curves of soil layer parameters. Each curve has a corresponding foundation pit plane coordinate, that is, each soil curve has a corresponding foundation pit plane coordinate. The layer density change curve reflects the change of soil layer density with depth at a certain point coordinate on the horizontal plane of the foundation pit. In this embodiment, each sensor can be set next to the foundation pit support pile to directly detect the soil layer changes near the support, or directly detect on the side wall around the foundation pit; although the soil layer type properties may change from sandy soil to clay soil, the parameter changes of the soil layer should be continuous, that is, the subsequent soil layer parameters can be predicted based on the change trend of the soil layer parameters from the real-time change curve. The soil layer parameter prediction model can be pre-trained, and the soil layer parameter prediction curve can be input into the prediction model to obtain the soil layer parameter prediction curve, and substituted into the digital twin model constructed in the aforementioned step S100 to supplement the physical quantity parameters of the digital twin of the foundation pit part;

[0036] The deeper the foundation pit, the greater the bending moment, shear force and pressure caused by the depth of the soil layer that the support needs to withstand. Based on the recorded known soil layer parameters and the predicted soil layer parameters, the pressure conditions at each depth can be calculated by integrating the finite element method under the accumulation of soil layer density changes. In this embodiment, the soil layer parameter detection sensors are set in a discrete distribution, so the corresponding first soil layer mechanical change prediction data also corresponds to the discrete distribution of the plane coordinates set by the sensor. The mechanical data obtained after finite element integration is the mechanical condition per unit area; based on the digital twin model, the second soil layer mechanical change prediction data that continuously covers the entire side wall surface around the foundation pit side wall can be constructed based on the first soil layer mechanical change prediction data of multiple points around the foundation pit side wall. It can be understood that the first soil layer mechanical change prediction data is the mechanical prediction data of multiple vertical lines on the foundation pit side wall, and the second soil layer mechanical change prediction data is the mechanical prediction data on the entire foundation pit side wall surface. The mechanical prediction data in this embodiment covers the real-time excavated foundation pit depth and the subsequent unexcavated foundation pit depth in the digital twin.

[0037] S300: Obtain the current foundation pit support data in the digital twin model and compare it with the mechanical change prediction data of the second soil layer to identify the coordinates of the foundation pit support area that cannot meet the mechanical change prediction data of the second soil layer, and set the foundation pit support reinforcement parameters according to the pressure difference.

[0038] It should be noted that the parameter data of the foundation pit support will be updated in real time in the digital twin model. The initial foundation pit support parameters of the scheme are the minimum support data of the aforementioned step S100. The foundation pit support parameters will be updated in real time during the excavation and support process. The foundation pit support data is compared with the predicted data of the mechanical change of the second soil layer at the corresponding coordinate position to determine whether the foundation pit support can meet the bending moment and shear pressure brought by the soil layer after subsequent foundation pit excavation. The coordinates of all foundation pit support areas that cannot meet the requirements of subsequent foundation pit excavation are identified. At the same time, the pressure difference is calculated, and the corresponding foundation pit reinforcement scheme is set based on the pressure difference. The foundation pit reinforcement scheme may include adding anchor rods, inserting micro piles, and grouting to reinforce weak areas.

[0039] Furthermore, as the foundation pit excavation progresses, the aforementioned steps S200 and S300 are repeated, and as the reinforcement of the foundation pit support changes, as well as the mechanical parameters of the soil layer change, as the foundation pit depth changes and as the current foundation pit support changes, the reinforcement and update of the foundation pit support are performed in real time.

[0040] In this embodiment, a digital twin related to the foundation pit and support is established, and a corresponding change curve is constructed based on the data of foundation pit excavation. The data is substituted into the digital twin to predict the mechanical parameters of the foundation pit side wall at the unexcavated depth, thereby obtaining the predicted data of the second soil layer change. Based on the predicted data of the second soil layer change and the real-time foundation pit support data, the future support demand changes at various locations in the foundation pit are judged, and the foundation pit support is adaptively reinforced using coordinates, thereby reducing the foundation pit support cost and improving the efficiency of excavation and support.

[0041] The above is a detailed description of the first embodiment of a foundation pit support design method based on digital twins provided in this application. The following is a detailed description of the second embodiment of a foundation pit support design method based on digital twins provided in this application.

[0042] In this embodiment, a foundation pit support design method based on digital twins is further provided. In the aforementioned step S200, the prediction is performed based on the real-time change curve of the soil layer parameters to obtain multiple corresponding soil layer parameter prediction curves. Specifically, weather forecast data is obtained to obtain predicted precipitation data, and prediction is performed based on the real-time change curve of the soil layer parameters to obtain multiple corresponding soil layer parameter prediction curves.

[0043] It should be noted that the precipitation can be obtained based on the weather forecast data of the local meteorological bureau of the foundation pit, and the corresponding mechanical change data of the soil layer density after mixing with the precipitation can be obtained based on the precipitation and the predicted real-time data of the soil layer parameters, so as to obtain the corresponding mechanical change prediction data of the first soil layer; rainfall will quickly raise the low water level and increase the water pressure outside the pit, resulting in an increase in the lateral load of the support piles, a decrease in cohesion after the soil is saturated, a decrease in shear strength, and an increase in the risk of pile displacement. The support design needs to consider the groundwater pressure and the soil consolidation settlement caused by precipitation. In actual engineering, combined with numerical simulation and real-time monitoring of dynamic adjustment plans, the support plan is changed and designed immediately according to the predicted extreme climate to ensure the safety of the foundation pit.

[0044] Furthermore, in step S300, after obtaining the current foundation pit support data in the digital twin model, it also includes: obtaining monitoring data of the foundation pit support, judging whether the displacement and deformation of the support exceed the limit, and if so, setting corresponding foundation pit support reinforcement parameters according to the limit value of the foundation pit support displacement and deformation; it should be noted that sensors can be set on the foundation pit support piles to monitor the horizontal displacement of the pile top. When the horizontal displacement exceeds the preset percentage of the foundation pit depth, or the daily deformation rate exceeds the threshold value of millimeters per day, it is necessary to adopt measures such as unloading and excavating the soil pile at the top of the pit, and backfilling and counter-pressing the pit to add internal support prestressed anchor cables; the axial force of the anchor rod is monitored by sensors. When the axial force of the anchor rod support exceeds the preset threshold ratio of the design value, or the support is compressed, it is necessary to supplement the anchor rods of the same specification or replace them with higher strength steel strands, and reinforce the support points and weld stiffening plates.

[0045] The above is a detailed description of a foundation pit support design method based on digital twins provided in the first aspect of this application. The following is a detailed description of an embodiment of a foundation pit support design system based on digital twins provided in the second aspect of this application.

[0046] See also Figure 2 , Figure 2 This is a structural diagram of a foundation pit support design system based on digital twins. This embodiment provides a foundation pit support design system based on digital twins, including:

[0047] The digital twin construction module 10 is used to obtain the current foundation pit data, set the corresponding minimum foundation pit support data according to the foundation pit data, and establish the corresponding digital twin model;

[0048] The data prediction module 20 is used to obtain the current real-time data of the foundation pit excavation, establish multiple real-time change curves of soil layer parameters, and perform predictions based on the real-time change curves of soil layer parameters to obtain corresponding multiple soil layer parameter prediction curves; substitute the predicted soil layer parameters into the preset digital twin model to obtain discrete first soil layer mechanical change prediction data, and construct continuous second soil layer mechanical change prediction data around the foundation pit based on the mechanical change prediction data of each soil layer;

[0049] The support design module 30 is used to obtain the current foundation pit support data in the digital twin model and compare it with the mechanical change prediction data of the second soil layer, identify the coordinates of the foundation pit support area that cannot meet the mechanical change prediction data of the second soil layer, and set the foundation pit support reinforcement parameters according to the pressure difference.

[0050] Furthermore, the data prediction module 20 performs prediction based on the real-time change curve of soil layer parameters to obtain corresponding multiple soil layer parameter prediction curves, specifically:

[0051] Obtain weather forecast data, obtain predicted precipitation data, make predictions based on the real-time change curve of soil layer parameters, and obtain corresponding multiple soil layer parameter prediction curves.

[0052] Furthermore, in the data prediction module 20, after obtaining the current foundation pit support data in the digital twin model, the following steps are further included:

[0053] Obtain monitoring data of foundation pit support to determine whether the displacement and deformation of the support exceed the limit. If so, set the corresponding foundation pit support reinforcement parameters according to the excess value of the foundation pit support displacement and deformation.

[0054] The third aspect of this application also provides a foundation pit support design method device based on digital twins, including a processor and a memory: the memory is used to store program code and transfer the program code to the processor; the processor is used to execute the above-mentioned foundation pit support design method based on digital twins according to the instructions in the program code.

[0055] The fourth aspect of the present application provides a computer-readable storage medium, characterized in that the computer-readable storage medium is used to store program code, and the program code is used to execute the above-mentioned foundation pit support design method based on digital twins.

[0056] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and equipment can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0057] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as 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 an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0058] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0059] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0060] If the integrated unit is implemented as 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 invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0061] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features thereof can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A foundation pit support design method based on digital twin, characterized by include: Obtain the current foundation pit data, set the corresponding minimum foundation pit support data according to the foundation pit data, and establish the corresponding digital twin model; Acquire the current real-time data of foundation pit excavation, establish multiple real-time change curves of soil layer parameters, and make predictions based on the real-time change curves of soil layer parameters to obtain corresponding multiple soil layer parameter prediction curves; substitute the predicted soil layer parameters into the preset digital twin model to obtain discrete first soil layer mechanical change prediction data, and construct continuous second soil layer mechanical change prediction data around the foundation pit based on the mechanical change prediction data of each soil layer; The current foundation pit support data in the digital twin model is obtained and compared with the predicted data of the mechanical changes of the second soil layer. The coordinates of the foundation pit support area that cannot meet the predicted data of the mechanical changes of the second soil layer are identified, and the foundation pit support reinforcement parameters are set according to the pressure difference.

2. A foundation pit support design method based on digital twin according to claim 1, characterized in that: The prediction is performed based on the real-time change curve of soil layer parameters to obtain corresponding multiple soil layer parameter prediction curves, specifically: Obtain weather forecast data, obtain predicted precipitation data, make predictions based on the real-time change curve of soil layer parameters, and obtain corresponding multiple soil layer parameter prediction curves.

3. The foundation pit support design method based on digital twin according to claim 1 is characterized in that: After obtaining the current foundation pit support data in the digital twin model, the method further includes: Obtain monitoring data of foundation pit support to determine whether the displacement and deformation of the support exceed the limit. If so, set the corresponding foundation pit support reinforcement parameters according to the excess value of the foundation pit support displacement and deformation.

4. A foundation pit support design system based on digital twin, characterized by: include: The digital twin construction module is used to obtain the current foundation pit data, set the corresponding minimum foundation pit support data according to the foundation pit data, and establish the corresponding digital twin model; The data prediction module is used to obtain the current real-time data of foundation pit excavation, establish multiple real-time change curves of soil layer parameters, and make predictions based on the real-time change curves of soil layer parameters to obtain corresponding multiple soil layer parameter prediction curves; substitute the predicted soil layer parameters into the preset digital twin model to obtain discrete first soil layer mechanical change prediction data, and construct continuous second soil layer mechanical change prediction data around the foundation pit based on the mechanical change prediction data of each soil layer; The support design module is used to obtain the current foundation pit support data in the digital twin model and compare it with the predicted data of the mechanical changes of the second soil layer, identify the coordinates of the foundation pit support area that cannot meet the predicted data of the mechanical changes of the second soil layer, and set the foundation pit support reinforcement parameters according to the pressure difference.

5. The foundation pit support design system based on digital twin according to claim 4 is characterized in that: In the data prediction module, prediction is performed based on the real-time change curve of soil layer parameters to obtain corresponding multiple soil layer parameter prediction curves, specifically: Obtain weather forecast data, obtain predicted precipitation data, make predictions based on the real-time change curve of soil layer parameters, and obtain corresponding multiple soil layer parameter prediction curves.

6. The foundation pit support design system based on digital twin according to claim 4 is characterized in that: In the data prediction module, after obtaining the current foundation pit support data in the digital twin model, it also includes: Obtain monitoring data of foundation pit support to determine whether the displacement and deformation of the support exceed the limit. If so, set the corresponding foundation pit support reinforcement parameters according to the excess value of the foundation pit support displacement and deformation.

7. A foundation pit support design device based on digital twin, characterized in that: The device includes a processor and a memory: The memory is used to store program code and transmit the program code to the processor; The processor is used to execute a foundation pit support design method based on digital twins as described in any one of claims 1 to 3 according to the instructions in the program code.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium is used to store program code, and the program code is used to execute a foundation pit support design method based on digital twins as described in any one of claims 1 to 3.

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