Risk prediction system for building pile foundation construction in multi-layer cave areas

Abstract

The present invention discloses a risk prediction system for pile foundation construction in a multi-layer karst cave area. The survey data integration module is used to obtain geological survey data of the multi-layer karst cave area and establish a three-dimensional geological model. The mechanical model construction module is used to establish a mechanical behavior model of the karst cave area. The pile foundation construction simulation module is used to simulate the pile foundation construction process using a numerical simulation method and predict the pile foundation risk points and risk levels based on the numerical simulation results. The pile foundation construction monitoring module is used to collect geological information of the pile foundation construction area in real time, compare and analyze it with the numerical simulation results, and dynamically adjust the pile foundation risk points. The construction risk warning module is used to calculate the risk index of the risk point and issue an early warning when the risk index exceeds a preset risk threshold. By identifying and processing risk points in advance, the present invention can reduce the additional costs caused by construction accidents, provide a scientific basis for construction decision-making, and support construction teams in making more reasonable and safe decisions.

Description

Technical Field

[0001] The present invention belongs to the technical field of civil engineering, and in particular relates to a risk prediction system for building pile foundation construction in a multi-layer karst cave area. Background Art

[0002] Pile foundation construction in areas with multiple layers of karst caves presents numerous challenges and risks. These risks not only impact project progress and costs but also pose a threat to the safety of construction workers. The distribution of karst caves underground is often irregular and discontinuous, making it difficult to comprehensively survey all karst cave areas using traditional geological survey methods. Karst caves vary in shape and size, from small to large, and even into complex networks, increasing the difficulty and uncertainty of construction. The complex interactions between karst caves and surrounding rock formations can lead to unstable rock formations and the development of cracks, further increasing construction risks.

[0003] Existing risk prediction methods rely heavily on empirical judgment and simple model analysis, lacking in-depth understanding and predictive capabilities for complex geological conditions and construction processes. Therefore, to effectively predict construction risks and improve construction safety, a risk prediction system for pile foundation construction in multi-layered karst cave areas is urgently needed. Summary of the Invention

[0004] In order to solve the above technical problems, the present invention proposes a risk prediction system for building pile foundation construction in multi-layer cave areas to solve the problems existing in the above-mentioned prior art.

[0005] To achieve the above objectives, the present invention provides a risk prediction system for pile foundation construction in multi-layer karst cave areas, comprising:

[0006] A survey data integration module is used to obtain geological survey data of a multi-layered karst cave area and establish a three-dimensional geological model based on the geological survey data;

[0007] The mechanical model construction module is used to establish a mechanical behavior model of the cave area based on a three-dimensional geological model of multi-layer caves using geological theoretical analysis methods;

[0008] The pile foundation construction simulation module is used to simulate the pile foundation construction process using a numerical simulation method based on the mechanical behavior model of the karst cave area, and to predict the pile foundation risk points and risk levels based on the numerical simulation results;

[0009] The pile foundation construction monitoring module is used to collect geological information of the pile foundation construction area in real time based on monitoring equipment, compare and analyze it with the numerical simulation results, and dynamically adjust the pile foundation risk points;

[0010] The construction risk warning module is used to calculate the risk index of risk points based on real-time monitoring data and numerical simulation results, and issue an early warning when the risk index exceeds the preset risk threshold.

[0011] Optionally, the survey data integration module includes a data acquisition unit and a model building unit;

[0012] The data acquisition unit is used to obtain drilling data of karst rocks based on drilling technology and core analysis technology; collect seismic wave data, electromagnetic wave data and earth gravity data to obtain geophysical data; and obtain geological mapping data of rock formations based on a total station and geological profiles;

[0013] The model building unit is used to build a preliminary three-dimensional geological model based on geological surveying data, and to refine the rock layer properties and rock layer structures in the preliminary three-dimensional geological model based on drilling data and geophysical data to obtain a final three-dimensional geological model.

[0014] Optionally, the mechanical model construction module includes a mechanical parameter determination unit, a mechanical model construction unit and a model verification and calibration unit;

[0015] The mechanical parameter determination unit is used to perform load tests and lateral pressure tests on the cave rock layer to obtain the mechanical parameters of the rock and soil mass;

[0016] The mechanical model construction unit is used to set the boundary conditions and external loads of the mechanical behavior model using a numerical analysis method, perform unstructured grid division on the three-dimensional geological model, assign the mechanical parameters of the rock and soil body to the corresponding grid units, and complete the construction of the mechanical behavior model;

[0017] The model verification and calibration unit is used to perform preliminary verification of the mechanical behavior model based on historical karst cave pile foundation construction data, perform parameter sensitivity analysis on the mechanical behavior model, and calibrate the model parameters.

[0018] Optionally, the pile foundation construction simulation module includes a construction simulation unit, a risk assessment unit and a result generation unit;

[0019] The construction simulation unit is used to simulate the drilling stage, hole cleaning stage, steel cage installation stage, concrete pouring stage and pile formation stage in pile foundation construction using a numerical simulation method based on the mechanical behavior model of the cave area;

[0020] The risk assessment unit is used to analyze the stress and deformation distribution of the pile foundation at different construction stages based on the numerical simulation results of the construction simulation unit, identify stress concentration areas and high deformation areas, and then obtain pile foundation risk points, preset risk indicators, and classify risk points into different risk levels;

[0021] The result generating unit is used to display the distribution of risk points and the risk level in the form of a cloud map.

[0022] Optionally, the pile foundation construction monitoring module includes a monitoring equipment deployment unit, a data fusion analysis unit, and a risk point adjustment unit;

[0023] The monitoring equipment deployment unit is used to deploy geological radars, acoustic wave detectors, optical fiber sensors, inclinometers, and pore water pressure gauges at the pile foundation construction site in the cave area;

[0024] The data fusion analysis unit is used to fuse the data collected by each monitoring device and comprehensively analyze the geological information and pile foundation status of the pile foundation construction area;

[0025] The risk point adjustment unit is used to compare and analyze real-time monitoring data with numerical simulation results, identify new risk points and changes in existing risk points, and then make real-time adjustments to pile foundation risk points and re-evaluate the risk level of each risk point.

[0026] Optionally, the construction risk warning module includes a risk index determination unit, a warning signal triggering unit and a warning signal transmission unit;

[0027] The risk index determination unit is used to select risk assessment indicators including maximum principal stress, displacement and safety factor, assign different weight coefficients to each indicator based on its importance, and obtain the risk index using a weighted summation method;

[0028] The warning signal triggering unit is used to obtain the current risk index in real time based on the risk index determination unit, and compare the current risk index with a preset risk threshold. When the risk index exceeds the preset risk threshold, it automatically generates warning signals of different levels for warning;

[0029] The warning signal transmission unit is used to notify construction management personnel via SMS, email or mobile phone APP push, and automatically match the corresponding emergency plan according to the warning level.

[0030] The present invention also provides a method for predicting the risk of building pile foundation construction in a multi-layer karst cave area, based on a system for predicting the risk of building pile foundation construction in a multi-layer karst cave area, comprising the following steps:

[0031] Acquiring geological survey data of a multi-layered karst cave area, and establishing a three-dimensional geological model based on the geological survey data;

[0032] Based on the three-dimensional geological model of multi-layered caves, the mechanical behavior model of the cave area was established using geological theoretical analysis methods;

[0033] Based on the mechanical behavior model of the karst cave area, the pile foundation construction process is simulated using numerical simulation methods, and the risk points and risk levels of the pile foundation are predicted based on the numerical simulation results.

[0034] Based on real-time geological information collected by monitoring equipment in the pile foundation construction area, the geological information is compared and analyzed with the numerical simulation results to dynamically adjust the pile foundation risk points;

[0035] Based on real-time monitoring data and numerical simulation results, the risk index of the risk point is calculated, and an early warning is issued when the risk index exceeds the preset risk threshold.

[0036] The present invention also provides an electronic device, comprising: a memory and a processor; the memory is used to store a program; the processor is used to execute the program to implement various modules of the risk prediction system for building pile foundation construction in multi-layer cave areas.

[0037] The present invention also provides a readable storage medium on which a computer program is stored. When the computer program is executed by a processor, each module of the risk prediction system for building pile foundation construction in a multi-layer karst cave area is implemented.

[0038] Compared with the prior art, the present invention has the following advantages and technical effects:

[0039] The present invention ensures the comprehensiveness and accuracy of geological survey data through the survey data integration module. The three-dimensional geological model established based on comprehensive data can more realistically reflect the geological structure of the cave area and provide an accurate basis for subsequent analysis.

[0040] The present invention can predict the mechanical response of the cave under different geological conditions through the mechanical model construction module, and provide important mechanical parameters and risk assessment basis for pile foundation construction.

[0041] The present invention can predict the problems and risks that may arise during the construction process through the pile foundation construction simulation module. Based on the numerical simulation results, it can identify the key risk points and risk levels during the pile foundation construction process, providing a basis for optimizing the construction plan.

[0042] The present invention ensures the real-time and accuracy of data through the pile foundation construction monitoring module, compares and analyzes the real-time monitoring data with the numerical simulation results, can dynamically adjust the pile foundation risk points, and improve the safety and adaptability of construction.

[0043] By identifying and addressing risk points in advance, the present invention can reduce the additional costs caused by construction accidents, provide a scientific basis for construction decision-making, and support construction teams in making more reasonable and safe decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings, which constitute part of this application, are intended to provide a further understanding of this application. The exemplary embodiments and descriptions of this application are intended to explain this application and do not constitute an improper limitation on this application. In the accompanying drawings:

[0045] Figure 1This is a structural diagram of a risk prediction system for building pile foundation construction in a multi-layer karst cave area according to an embodiment of the present invention. DETAILED DESCRIPTION

[0046] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0047] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0048] Example 1

[0049] like Figure 1 As shown, this embodiment provides a risk prediction system for pile foundation construction in a multi-layer karst cave area, comprising: a survey data integration module, a mechanical model construction module, a pile foundation construction simulation module, a pile foundation construction monitoring module, and a construction risk warning module connected in sequence;

[0050] A survey data integration module is used to obtain geological survey data of a multi-layered karst cave area and establish a three-dimensional geological model based on the geological survey data;

[0051] The mechanical model construction module is used to establish a mechanical behavior model of the cave area based on a three-dimensional geological model of multi-layer caves using geological theoretical analysis methods;

[0052] The pile foundation construction simulation module is used to simulate the pile foundation construction process using a numerical simulation method based on the mechanical behavior model of the karst cave area, and to predict the pile foundation risk points and risk levels based on the numerical simulation results;

[0053] The pile foundation construction monitoring module is used to collect geological information of the pile foundation construction area in real time based on monitoring equipment, compare and analyze it with the numerical simulation results, and dynamically adjust the pile foundation risk points;

[0054] The construction risk warning module is used to calculate the risk index of risk points based on real-time monitoring data and numerical simulation results, and issue an early warning when the risk index exceeds the preset risk threshold.

[0055] It is feasible that the survey data integration module includes a data acquisition unit and a model building unit; the data acquisition unit is used to obtain drilling data of karst rocks based on drilling technology and core analysis technology; collect seismic wave data, electromagnetic wave data and earth gravity data to obtain geophysical data; obtain geological mapping data of rock layers based on a total station and geological profiles; the model building unit is used to construct a preliminary three-dimensional geological model based on the geological mapping data, and refine the rock layer properties and rock layer structure in the preliminary three-dimensional geological model based on the drilling data and geophysical data to obtain the final three-dimensional geological model.

[0056] It is feasible that the mechanical model construction module includes a mechanical parameter determination unit, a mechanical model construction unit and a model verification and calibration unit; the mechanical parameter determination unit is used to perform load tests and lateral pressure tests on the cave rock layer to obtain the mechanical parameters of the rock and soil body; the mechanical model construction unit is used to use a numerical analysis method to set the boundary conditions and external loads of the mechanical behavior model, and perform unstructured grid division on the three-dimensional geological model, assign the mechanical parameters of the rock and soil body to the corresponding grid units, and complete the construction of the mechanical behavior model; the model verification and calibration unit is used to perform preliminary verification of the mechanical behavior model based on historical cave pile foundation construction data, and perform parameter sensitivity analysis on the mechanical behavior model and calibrate the model parameters.

[0057] Commonly used numerical simulation software in this embodiment includes ABAQUS, ANSYS, FLAC3D, PFC, etc. These software provide powerful numerical calculation capabilities and pre-processing and post-processing functions.

[0058] It is feasible that the pile foundation construction simulation module includes a construction simulation unit, a risk assessment unit and a result generation unit; the construction simulation unit is used to simulate the drilling stage, hole cleaning stage, steel cage installation stage, concrete pouring stage and pile formation stage in pile foundation construction based on the mechanical behavior model of the cave area using a numerical simulation method; the risk assessment unit is used to analyze the stress and deformation distribution of the pile foundation at different construction stages based on the numerical simulation results of the construction simulation unit, identify stress concentration areas and high deformation areas, and then obtain pile foundation risk points, preset risk indicators, and divide risk points into different risk levels; the result generation unit is used to display the distribution of risk points and the degree of risk in the form of a cloud map.

[0059] As a specific example, this embodiment uses professional tools such as HyperMesh and GID for meshing to ensure simulation accuracy and efficiency. Laboratory and field test data are used to obtain accurate geotechnical and concrete material parameters to ensure the reliability of the simulation results. Reasonable boundary conditions, such as fixed boundaries, free boundaries, and far-field boundaries, are set to ensure the rationality of the simulation results. Considering the nonlinear characteristics of geotechnical materials, appropriate constitutive models, such as the Mohr-Coulomb model and the Drucker-Prager model, are used for analysis.

[0060] It is feasible that the pile foundation construction monitoring module includes a monitoring equipment deployment unit, a data fusion analysis unit and a risk point adjustment unit; the monitoring equipment deployment unit is used to deploy geological radars, acoustic wave detectors, optical fiber sensors, inclinometers and pore water pressure gauges at the pile foundation construction site in the karst area; the data fusion analysis unit is used to fuse the data collected by each monitoring device and comprehensively analyze the geological information and pile foundation status of the pile foundation construction area; the risk point adjustment unit is used to compare and analyze the real-time monitoring data with the numerical simulation results, identify new risk points and changes in the original risk points, and then make real-time adjustments to the pile foundation risk points and re-evaluate the risk level of each risk point.

[0061] As a specific example, this embodiment sets a reasonable monitoring frequency based on construction progress and geological conditions to ensure real-time and effective data transmission. Advanced data processing algorithms, such as Kalman filtering and wavelet transform, are used to improve data processing accuracy and efficiency. Reliable communication protocols, such as LoRa and NB-IoT, are employed to ensure stable and secure data transmission.

[0062] It is feasible that the construction risk warning module includes a risk index determination unit, a warning signal triggering unit and a warning signal transmission unit; the risk index determination unit is used to select risk assessment indicators including maximum principal stress, displacement and safety factor, assign different weight coefficients to each indicator based on its importance, and adopt a weighted summation method to obtain the risk index; the warning signal triggering unit is used to obtain the current risk index in real time based on the risk index determination unit, and compare the current risk index with a preset risk threshold. When the risk index exceeds the preset risk threshold, different levels of warning signals are automatically generated for warning; the warning signal transmission unit is used to notify construction management personnel by SMS, email or mobile phone APP push, and automatically match the corresponding emergency plan according to the warning level.

[0063] As a specific example, this embodiment uses machine learning algorithms, such as random forests and support vector machines, to analyze monitoring data to improve the accuracy of risk index calculation. The risk warning module is seamlessly integrated with other modules to achieve data sharing and process automation. Encryption technology is used during data transmission to ensure security, and redundancy mechanisms are designed to ensure stable system operation.

[0064] Example 2

[0065] The present invention also provides a method for predicting the risk of building pile foundation construction in a multi-layer karst cave area, based on a system for predicting the risk of building pile foundation construction in a multi-layer karst cave area, comprising the following steps:

[0066] Acquiring geological survey data of a multi-layered karst cave area, and establishing a three-dimensional geological model based on the geological survey data;

[0067] Based on the three-dimensional geological model of multi-layered caves, the mechanical behavior model of the cave area was established using geological theoretical analysis methods;

[0068] Based on the mechanical behavior model of the karst cave area, the pile foundation construction process is simulated using numerical simulation methods, and the risk points and risk levels of the pile foundation are predicted based on the numerical simulation results.

[0069] Based on real-time geological information collected by monitoring equipment in the pile foundation construction area, the geological information is compared and analyzed with the numerical simulation results to dynamically adjust the pile foundation risk points;

[0070] Based on real-time monitoring data and numerical simulation results, the risk index of the risk point is calculated, and an early warning is issued when the risk index exceeds the preset risk threshold.

[0071] Example 3

[0072] The present invention also provides an electronic device, comprising: a memory and a processor; the memory is used to store a program; the processor is used to execute the program to implement various modules of the risk prediction system for building pile foundation construction in multi-layer cave areas.

[0073] Example 4

[0074] The present invention also provides a readable storage medium on which a computer program is stored. When the computer program is executed by a processor, each module of the risk prediction system for building pile foundation construction in a multi-layer karst cave area is implemented.

[0075] The above are merely preferred embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A risk prediction system for pile foundation construction in multi-layer karst cave areas, characterized by: include: The survey data integration module, mechanical model construction module, pile foundation construction simulation module, pile foundation construction monitoring module and construction risk early warning module are connected in sequence; The survey data integration module is used to obtain geological survey data of a multi-layer karst cave area and establish a three-dimensional geological model based on the geological survey data; The mechanical model building module is used to establish a mechanical behavior model of the cave area based on a three-dimensional geological model of a multi-layer cave using a geological theory analysis method; The pile foundation construction simulation module is used to simulate the pile foundation construction process based on the mechanical behavior model of the cave area using a numerical simulation method, and predict the pile foundation risk points and risk levels based on the numerical simulation results; The pile foundation construction monitoring module is used to collect geological information of the pile foundation construction area in real time based on monitoring equipment, compare and analyze it with the numerical simulation results, and dynamically adjust the pile foundation risk points; The construction risk warning module is used to calculate the risk index of the risk point based on real-time monitoring data and numerical simulation results, and issue an early warning when the risk index exceeds a preset risk threshold; The survey data integration module includes a data acquisition unit and a model building unit; The data acquisition unit is used to obtain drilling data of karst rocks based on drilling technology and core analysis technology; collect seismic wave data, electromagnetic wave data and earth gravity data to obtain geophysical data; and obtain geological mapping data of rock formations based on a total station and geological profiles; The model building unit is used to build a preliminary three-dimensional geological model based on geological surveying data, and to refine the rock layer properties and rock layer structures in the preliminary three-dimensional geological model based on drilling data and geophysical data to obtain a final three-dimensional geological model; The mechanical model construction module includes a mechanical parameter determination unit, a mechanical model construction unit and a model verification and calibration unit; The mechanical parameter determination unit is used to perform load tests and lateral pressure tests on the cave rock layer to obtain the mechanical parameters of the rock and soil mass; The mechanical model construction unit is used to set the boundary conditions and external loads of the mechanical behavior model using a numerical analysis method, perform unstructured grid division on the three-dimensional geological model, assign the mechanical parameters of the rock and soil body to the corresponding grid units, and complete the construction of the mechanical behavior model; The model verification and calibration unit is used to perform preliminary verification of the mechanical behavior model based on historical karst cave pile foundation construction data, perform parameter sensitivity analysis on the mechanical behavior model, and calibrate the model parameters; The pile foundation construction simulation module includes a risk assessment unit; The risk assessment unit is used to analyze the stress and deformation distribution of the pile foundation at different construction stages based on the numerical simulation results of the construction simulation unit, identify stress concentration areas and high deformation areas, and then obtain pile foundation risk points, preset risk indicators, and divide the risk points into different risk levels.

2. The risk prediction system for pile foundation construction in multi-layer karst cave areas according to claim 1 is characterized in that: The pile foundation construction simulation module also includes a construction simulation unit and a result generation unit; The construction simulation unit is used to simulate the drilling stage, hole cleaning stage, steel cage installation stage, concrete pouring stage and pile formation stage in pile foundation construction using a numerical simulation method based on the mechanical behavior model of the cave area; The result generating unit is used to display the distribution of risk points and the risk level in the form of a cloud map.

3. The risk prediction system for pile foundation construction in multi-layer karst cave areas according to claim 1 is characterized in that: The pile foundation construction monitoring module includes a monitoring equipment deployment unit, a data fusion analysis unit and a risk point adjustment unit; The monitoring equipment deployment unit is used to deploy geological radars, acoustic wave detectors, optical fiber sensors, inclinometers, and pore water pressure gauges at the pile foundation construction site in the cave area; The data fusion analysis unit is used to fuse the data collected by each monitoring device and comprehensively analyze the geological information and pile foundation status of the pile foundation construction area; The risk point adjustment unit is used to compare and analyze real-time monitoring data with numerical simulation results, identify new risk points and changes in existing risk points, and then make real-time adjustments to pile foundation risk points and re-evaluate the risk level of each risk point.

4. The risk prediction system for pile foundation construction in multi-layer karst cave areas according to claim 1 is characterized in that: The construction risk warning module includes a risk index determination unit, a warning signal triggering unit and a warning signal transmission unit; The risk index determination unit is used to select risk assessment indicators including maximum principal stress, displacement and safety factor, assign different weight coefficients to each indicator based on its importance, and obtain the risk index using a weighted summation method; The warning signal triggering unit is used to obtain the current risk index in real time based on the risk index determination unit, and compare the current risk index with a preset risk threshold. When the risk index exceeds the preset risk threshold, it automatically generates warning signals of different levels for warning; The warning signal transmission unit is used to notify construction management personnel via SMS, email or mobile phone APP push, and automatically match the corresponding emergency plan according to the warning level.

5. A method for predicting the risk of building pile foundation construction in multi-layer karst cave areas, characterized in that: The risk prediction system for pile foundation construction in multi-layer karst cave areas according to any one of claims 1 to 4 comprises the following steps: Acquiring geological survey data of a multi-layered karst cave area, and establishing a three-dimensional geological model based on the geological survey data; Based on the three-dimensional geological model of multi-layered caves, the mechanical behavior model of the cave area was established using geological theoretical analysis methods; Based on the mechanical behavior model of the karst cave area, the pile foundation construction process is simulated using numerical simulation methods, and the risk points and risk levels of the pile foundation are predicted based on the numerical simulation results. Based on real-time geological information collected by monitoring equipment in the pile foundation construction area, the geological information is compared and analyzed with the numerical simulation results to dynamically adjust the pile foundation risk points; Based on real-time monitoring data and numerical simulation results, the risk index of the risk point is calculated, and an early warning is issued when the risk index exceeds the preset risk threshold.

6. An electronic device, characterized in that: include: memory and processor; The memory is used to store programs; the processor is used to execute the programs to implement the various modules of the risk prediction system for building pile foundation construction in multi-layer cave areas as described in any one of claims 1-4.

7. A readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, each module of the risk prediction system for building pile foundation construction in a multi-layer karst cave area according to any one of claims 1 to 4 is implemented.

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