A method and system for advanced geological prediction of underground engineering construction

Abstract

The present invention discloses a method and system for advanced geological prediction of underground engineering construction, and the method includes: setting a plurality of sampling points on the surface of the construction site of the target underground engineering, generating a sampling signal, sampling the underground layer on the surface of the construction site through each sampling point, acquiring the sampling data, determining the bad geological body information in the underground layer on the surface of the construction site according to the sampling data, generating a geological analysis report based on the bad geological body information, uploading it to the terminal device of the construction project team for prediction. The geological sampling work for the construction environment can be quickly realized by signal deployment, which improves the practicality, and at the same time, there is no need to perform earthwork operations in advance for measurement, which saves labor costs, and at the same time, the accuracy and objectivity of the geological sampling data can be guaranteed, and the stability is improved.

Description

Technical Field

[0001] The present invention relates to the field of geological survey technology, and in particular to a method and system for advanced geological prediction of underground engineering construction. Background Art

[0002] Correct prediction of underground engineering geological conditions is the key to the steady and efficient advancement of the project, especially in the interlayered rock mass formed in the eruption zone of modern mountain rock mass and the widely developed karst karst area. The geological conditions are complex, with poor regularity and difficult to ascertain. Therefore, for the long-term prediction of underground engineering, in order to ensure the stability of the cavern and the safety of construction, advanced geological prediction is an indispensable link. At present, the commonly used geological advance prediction method is mainly drilling coring. Drilling coring has a long preparation time, and for the construction of larger caverns, the number of drill holes is large, and the accuracy of predicting geological conditions is high, but the cost is high, the economy is poor, and the time period is long. Summary of the invention

[0003] In response to the above-mentioned problems, the present invention provides a method and system for advanced geological prediction of underground engineering construction to solve the problems mentioned in the background technology that drilling and coring have long preparation time, a large number of drill holes for larger cavern construction, and high accuracy in predicting geological conditions, but high cost, poor economy, and long time period.

[0004] A method for advanced geological prediction of underground engineering construction comprises the following steps:

[0005] Set up multiple sampling points on the surface of the construction site of the target underground project;

[0006] Generate a sampling signal to sample the underground layer on the surface of the construction site at each sampling point to obtain sampling data;

[0007] Determine the unfavorable geological body information in the underground layer of the construction site surface according to the sampling data;

[0008] A geological analysis report is generated based on the adverse geological body information and uploaded to the terminal device of the construction project team for forecasting.

[0009] Preferably, the multiple sampling points are set on the surface of the construction site of the target underground project, including:

[0010] Obtain the planned plan for the target underground project and conduct a rationality analysis on it, and determine whether it is logically feasible based on the analysis results;

[0011] If so, determining the project forecast occupancy volume of the construction project based on the predetermined plan of the target underground project;

[0012] Determine the occupied area surface of the construction site based on the cross-sectional area in the predicted occupied volume of the project;

[0013] A plurality of sampling points are set on the surface of the occupied area according to preset signal expansion characteristic parameters of the collected signal.

[0014] Preferably, generating a sampling signal to sample the underground layer on the surface of the construction site at each sampling point to obtain the sampling data includes:

[0015] Determine the construction depth of the construction project according to the predetermined plan, and determine the sampling depth of the sampling signal based on the construction depth and the project occupied volume;

[0016] Setting a target transmission frequency and a target signal strength of a sampling signal according to the sampling depth;

[0017] Generate an ultrasonic sampling signal of a target transmission frequency and a target signal strength and import it into a signal transmitter at each sampling point via wireless communication;

[0018] The ultrasonic sampling signal is transmitted to the ground surface by the signal transmitter of each sampling point, and the sampling data of each sampling point is acquired in real time.

[0019] Preferably, the determining of the adverse geological body information in the underground layer of the construction site surface according to the sampling data includes:

[0020] Based on the AlexNet convolutional neural network model algorithm, the sampled data is screened for bad track data, and the initial sampled data corresponding to the screened bad track number is linearly corrected to obtain the processed sampled data;

[0021] Constructing a signal transmission spectrum at each sampling point according to the processed sampling data;

[0022] Analyze the signal transmission spectrum of each sampling point based on a preset deep learning algorithm to obtain analysis results;

[0023] Based on the analysis results of each sampling point, the structural and scale information of the adverse geological body in the underground layer where the construction project is located is comprehensively determined.

[0024] Preferably, the geological analysis report generated based on the adverse geological body information is uploaded to the terminal device of the construction project team for forecasting.

[0025] Analyzing the structural information and scale information of the adverse geological body to generate a geological prediction table;

[0026] Determine the impact of unfavorable geological bodies on the construction progress of the target underground project through the geological prediction table;

[0027] Determining the compatibility between the predetermined plan of the target underground project and the construction position of the underground layer on the surface of the construction site according to the construction impact schedule;

[0028] A geological analysis report is generated based on the compatibility and uploaded to the terminal device of the construction project team.

[0029] Preferably, before transmitting the ultrasonic sampling signal to the ground surface through the signal transmitter of each sampling point to obtain the sampling data of each sampling point in real time, the method further includes:

[0030] Acquire the working parameters of the signal transmitter at each sampling point, and determine the signal transmission mechanism of each signal transmitter according to the working parameters;

[0031] Synchronizing the initial working states of all signal transmitters when transmitting ultrasonic sampling signals according to the signal transmission mechanism of each signal transmitter;

[0032] Generate a transmission time synchronization trigger signal and a transmission parameter synchronization trigger signal;

[0033] The transmission time synchronization trigger signal and the transmission parameter synchronization trigger signal are associated with the initial working state of each signal transmitter when transmitting the ultrasonic sampling signal to generate a sampling signal synchronization trigger control mechanism.

[0034] Preferably, judging the impact of unfavorable geological bodies on the construction progress of the target underground project through the geological prediction table includes:

[0035] Determine the structure and density information of the adverse geological body according to the geological prediction table;

[0036] Constructing a virtual model of the bad geological body according to the structure and density information of the bad geological body, generating a vibration wave signal of the maximum vibration frequency emitted by the operation machine related to the construction project and inputting it into the virtual model;

[0037] Determine the reflection wave data set and the transmission wave data set of the bad geological body for the vibration wave signal according to the output result of the virtual model;

[0038] The reflected wave data set and the transmitted wave data set are integrated and analyzed, and the fault properties of the underground layer under the construction surface under the influence of construction vibration are determined according to the analysis results, and the impact of the unfavorable geological body on the construction progress of the target underground project is derived according to the fault properties.

[0039] Preferably, after determining the adverse geological body information in the underground layer of the construction site surface according to the sampling data, the method further comprises:

[0040] Determine a first density parameter and a geochemical characteristic parameter of the bad geological body according to the bad geological body information, and calculate a ratio of the first density parameter to a second density parameter of the construction site surface;

[0041] Collecting drilling parameters of a drilling machine when drilling a hole on the surface of a construction site, and inverting physical parameters of the undesirable geological body according to the drilling parameters and the ratio of the first density parameter to the second density parameter;

[0042] Evaluate the target classification interval to which the bad geological body belongs based on the physical parameters and geochemical characteristic parameters of the bad geological body;

[0043] Obtain geological parameters within the target classification range as reference data for geological analysis reports.

[0044] Preferably, the method further comprises:

[0045] Constructing a constraint condition function of a bad geological body according to the fault attributes;

[0046] Solving the constraint condition function, and determining the correlation coefficient between the stability of the unfavorable geological body and the external force intervention according to the solution result;

[0047] Obtaining relevant construction variables of the external force intervention, and adjusting the relevant construction variables according to the correlation coefficient to meet the maximum stability of the unfavorable geological body;

[0048] The predetermined plan of the target underground project is optimized according to the adjusted relevant construction variables, and the optimized predetermined plan is confirmed as the implementation plan of the target underground project.

[0049] An advanced geological prediction system for underground engineering construction, the system comprising:

[0050] A setting module, used to set a plurality of sampling points on the surface of the construction site of the target underground project;

[0051] A sampling module is used to generate a sampling signal to sample the underground layer on the surface of the construction site through each sampling point to obtain sampling data;

[0052] A determination module, used to determine the adverse geological body information in the underground layer of the construction site surface according to the sampling data;

[0053] A generation module is used to generate a geological analysis report based on the adverse geological body information and upload it to the terminal device of the construction project team for forecasting.

[0054] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0055] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0057] Figure 1 A workflow diagram of an advanced geological prediction method for underground engineering construction provided by the present invention;

[0058] Figure 2 Another work flow chart of the method for advanced geological prediction of underground engineering construction provided by the present invention;

[0059] Figure 3 Another work flow chart of the method for advanced geological prediction of underground engineering construction provided by the present invention;

[0060] Figure 4 The present invention provides a structural schematic diagram of an advanced geological prediction system for underground engineering construction. DETAILED DESCRIPTION

[0061] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0062] Correct prediction of underground engineering geological conditions is the key to the steady and efficient advancement of the project, especially in the interlayered rock mass formed in the eruption zone of modern mountain rock mass and the area where karst karst is widely developed. The geological conditions are complex, with poor regularity, and it is difficult to ascertain the geological conditions. Therefore, for the long-term prediction of underground engineering, in order to ensure the stability of the cavern and the safety of construction, advanced geological forecasting is an indispensable link. The currently commonly used geological advanced forecasting method is mainly drilling coring. Drilling coring has a long preparation time, and for the construction of larger caverns, the number of drill holes is large, and the accuracy of predicting geological conditions is high, but the cost is high, the economy is poor, and the time period is long. In order to solve the above problems, this embodiment discloses a method for advanced geological forecasting of underground engineering construction.

[0063] A method for advanced geological prediction of underground engineering construction, such as Figure 1 As shown, the following steps are included:

[0064] Step S101, setting a plurality of sampling points on the surface of the construction site of the target underground project;

[0065] Step S102, generating a sampling signal to sample the underground layer on the surface of the construction site through each sampling point to obtain sampling data;

[0066] Step S103, determining the adverse geological body information in the underground layer of the construction site surface according to the sampling data;

[0067] Step S104: Generate a geological analysis report based on the adverse geological body information and upload it to the terminal device of the construction project team for forecasting.

[0068] In this embodiment, the sampling point is represented as a marking point at which a sampling signal is sent;

[0069] In this embodiment, the sampling data is represented as geological sampling data within the construction stratum;

[0070] In this embodiment, the adverse geological body information is represented by the scale information and structural information corresponding to the large-scale structural geology or dangerous structural geology in the construction stratum that affects the construction of underground engineering.

[0071] The working principle of the above technical solution is: multiple sampling points are set on the surface of the construction site of the target underground project, a sampling signal is generated, and data sampling is performed on the underground layer of the construction site surface through each sampling point to obtain sampling data, and the unfavorable geological body information in the underground layer of the construction site surface is determined according to the sampling data, and a geological analysis report is generated based on the unfavorable geological body information and uploaded to the terminal device of the construction project team for forecasting.

[0072] The beneficial effects of the above technical solution are as follows: by setting sampling points on the construction surface and sending sampling signals from the surface to the underground layer, the information of unfavorable geological bodies can be determined based on the sampling data, and the geological sampling work for the construction environment can be quickly realized through signal deployment, thereby improving practicality. At the same time, there is no need to carry out earthwork in advance for measurement, which saves manpower costs. At the same time, it can also ensure the accuracy and objectivity of the geological sampling data, improve stability, and solve the problems in the prior art of drilling and coring that the preparation time is long, the number of drill holes is large for larger cavern construction, the accuracy of predicting geological conditions is high, but the cost is high, the economy is poor, and the time period is long.

[0073] In one embodiment, the step of setting a plurality of sampling points on the surface of the construction site of the target underground project includes:

[0074] Obtain the planned plan for the target underground project and conduct a rationality analysis on it, and determine whether it is logically feasible based on the analysis results;

[0075] If so, determining the project forecast occupancy volume of the construction project based on the predetermined plan of the target underground project;

[0076] Determine the occupied area surface of the construction site based on the cross-sectional area in the predicted occupied volume of the project;

[0077] A plurality of sampling points are set on the surface of the occupied area according to preset signal expansion characteristic parameters of the collected signal.

[0078] In this embodiment, the predetermined plan is represented by a predetermined construction plan for the target underground project;

[0079] In this embodiment, logical feasibility refers to whether the construction logic and development logic of the predetermined solution are feasible;

[0080] In this embodiment, the project predicted occupied volume is represented as the project underground occupied volume of the target underground project.

[0081] The beneficial effects of the above technical solution are: through adaptive and reasonable analysis of the predetermined plan, the predetermined plan can be comprehensively evaluated for its quality through the big data decision-making function of the intelligent terminal, laying the foundation for the safety and stability of subsequent project construction, while also further avoiding waste of costs. Furthermore, by setting multiple sampling points on the surface of the occupied area according to the preset signal expansion characteristic parameters of the collected signal, it can be ensured that the underground area occupied by the entire target underground project is comprehensively monitored, further improving stability and practicality.

[0082] In one embodiment, Figure 2 As shown, a sampling signal is generated to sample the underground layer on the surface of the construction site through each sampling point to obtain sampling data, including:

[0083] Step S201, determining the construction depth of the construction project according to the predetermined plan, and determining the sampling depth of the sampling signal based on the construction depth and the project occupied volume;

[0084] Step S202, setting a target transmission frequency and a target signal strength of a sampling signal according to the sampling depth;

[0085] Step S203, generating an ultrasonic sampling signal of a target transmission frequency and a target signal strength and importing the ultrasonic sampling signal into a signal transmitter at each sampling point via wireless communication;

[0086] Step S204: The ultrasonic sampling signal is transmitted to the ground surface by the signal transmitter of each sampling point, so as to obtain the sampling data of each sampling point in real time.

[0087] In this embodiment, the construction depth is represented as the length between the construction location of the construction project underground and the ground surface;

[0088] In this embodiment, the sampling depth is represented by the signal sampling depth of the sampled signal;

[0089] The beneficial effects of the above technical solution are: by setting the target transmission frequency and signal strength of the sampling signal, it can have the ability to penetrate the underground layer, and the underground layer sampling data can be obtained more completely and accurately, further improving the practicality and stability.

[0090] In one embodiment, determining the adverse geological body information in the underground layer of the construction site surface according to the sampling data includes:

[0091] Based on the AlexNet convolutional neural network model algorithm, the sampled data is screened for bad track data, and the initial sampled data corresponding to the screened bad track number is linearly corrected to obtain the processed sampled data;

[0092] Constructing a signal transmission spectrum at each sampling point according to the processed sampling data;

[0093] Analyze the signal transmission spectrum of each sampling point based on a preset deep learning algorithm to obtain analysis results;

[0094] Based on the analysis results of each sampling point, the structural and scale information of the adverse geological body in the underground layer where the construction project is located is comprehensively determined.

[0095] The beneficial effects of the above technical solution are as follows: by constructing a signal transmission spectrum for each sampling point, the transmission parameters of the ultrasonic sampling signal under different geological parameters can be intuitively determined, and then the abnormal penetration information can be quickly and intuitively evaluated to determine the structural information and scale information of the adverse geological body, thereby ensuring data acquisition efficiency and accuracy and further improving work efficiency.

[0096] In one embodiment, the geological analysis report generated based on the adverse geological body information is uploaded to the terminal device of the construction project team for forecasting.

[0097] Analyzing the structural information and scale information of the adverse geological body to generate a geological prediction table;

[0098] Determine the impact of unfavorable geological bodies on the construction progress of the target underground project through the geological prediction table;

[0099] Determining the compatibility between the predetermined plan of the target underground project and the construction position of the underground layer on the surface of the construction site according to the construction impact schedule;

[0100] A geological analysis report is generated based on the compatibility and uploaded to the terminal device of the construction project team.

[0101] In this embodiment, the geological forecast table is represented as a comprehensive forecast situation table of geological information.

[0102] The beneficial effect of the above technical solution is: by judging the impact of adverse geological bodies on the construction progress of the target underground project and then determining the compatibility between the target underground project and the construction location, the geological impact can be accurately evaluated to quickly and accurately generate a geological analysis report, further improving practicality.

[0103] In one embodiment, Figure 3 As shown, before transmitting the ultrasonic sampling signal to the ground surface through the signal transmitter of each sampling point to obtain the sampling data of each sampling point in real time, the method also includes:

[0104] Step S301: acquiring the working parameters of the signal transmitter at each sampling point, and determining the signal transmission mechanism of each signal transmitter according to the working parameters;

[0105] Step S302, synchronizing the initial working states of all signal transmitters when transmitting ultrasonic sampling signals according to the signal transmission mechanism of each signal transmitter;

[0106] Step S303, generating a transmission time synchronization trigger signal and a transmission parameter synchronization trigger signal;

[0107] Step S304: Associating the transmission time synchronization trigger signal and the transmission parameter synchronization trigger signal with the initial working state of each signal transmitter when transmitting the ultrasonic sampling signal to generate a sampling signal synchronization trigger control mechanism.

[0108] In this embodiment, the signal transmission mechanism represents the signal transmission mode of each signal transmitter and the signal transmission mechanism corresponding to the mode;

[0109] In this embodiment, the transmission time synchronization trigger signal is represented by a time trigger mechanism signal for all signal transmitters to synchronously transmit sampling signals;

[0110] In this embodiment, the transmission parameter synchronization trigger signal is represented by a same-frequency trigger mechanism signal for all signal transmitters to synchronously transmit sampling signals.

[0111] The beneficial effects of the above technical solution are: by synchronizing the signal transmission time and signal transmission parameters of each signal transmitter, a stable one-to-many control effect can be achieved, thereby improving the control stability. Furthermore, by generating a synchronous trigger control mechanism for the sampling signal, the synchronous control stability of each signal transmitter can be further guaranteed.

[0112] In one embodiment, judging the impact of unfavorable geological bodies on the construction progress of the target underground project through the geological prediction table includes:

[0113] Determine the structure and density information of the adverse geological body according to the geological prediction table;

[0114] Constructing a virtual model of the bad geological body according to the structure and density information of the bad geological body, generating a vibration wave signal of the maximum vibration frequency emitted by the operation machine related to the construction project and inputting it into the virtual model;

[0115] Determine the reflection wave data set and the transmission wave data set of the bad geological body for the vibration wave signal according to the output result of the virtual model;

[0116] The reflected wave data set and the transmitted wave data set are integrated and analyzed, and the fault properties of the underground layer under the construction surface under the influence of construction vibration are determined according to the analysis results, and the impact of the unfavorable geological body on the construction progress of the target underground project is derived according to the fault properties.

[0117] In this embodiment, the structure and density information is represented by the geological structure and geological density information of the bad geological body.

[0118] The beneficial effects of the above technical solution are: by constructing a model to obtain the reflection wave data set and the transmission wave data set of the poor geological body for the vibration wave signal based on the output results of the model, and then determine the fault properties of the underground layer on the construction surface under the influence of construction vibration. The stability of the poor geological body under construction vibration can be intuitively determined, so that its impact on the construction progress of the target underground project can be quickly judged, thereby improving the accuracy and objectivity of the judgment.

[0119] In one embodiment, after determining the adverse geological body information in the underground layer of the construction site surface according to the sampling data, the method further includes:

[0120] Determine a first density parameter and a geochemical characteristic parameter of the bad geological body according to the bad geological body information, and calculate a ratio of the first density parameter to a second density parameter of the construction site surface;

[0121] Collecting drilling parameters of a drilling machine when drilling a hole on the surface of a construction site, and inverting physical parameters of the undesirable geological body according to the drilling parameters and the ratio of the first density parameter to the second density parameter;

[0122] Evaluate the target classification interval to which the bad geological body belongs based on the physical parameters and geochemical characteristic parameters of the bad geological body;

[0123] Obtain geological parameters within the target classification range as reference data for geological analysis reports.

[0124] The beneficial effect of the above technical solution is that by inverting the physical parameters of the poor geological body, the classification interval of the poor geological body can be quickly derived and then the geological parameters within this interval can be determined, thereby providing effective and reliable reference data for the generation of subsequent geological analysis reports, further improving practicality and work efficiency.

[0125] In one embodiment, the method further comprises:

[0126] Constructing a constraint condition function of a bad geological body according to the fault attributes;

[0127] Solving the constraint condition function, and determining the correlation coefficient between the stability of the unfavorable geological body and the external force intervention according to the solution result;

[0128] Obtaining relevant construction variables of the external force intervention, and adjusting the relevant construction variables according to the correlation coefficient to meet the maximum stability of the unfavorable geological body;

[0129] The predetermined plan of the target underground project is optimized according to the adjusted relevant construction variables, and the optimized predetermined plan is confirmed as the implementation plan of the target underground project.

[0130] The beneficial effect of the above technical solution is that it can ensure that the plan for the target underground project is executed while satisfying the maximum stability of the adverse geological body, which not only ensures safety but also makes the execution plan have a sufficiently large fault tolerance rate, further improving practicality and stability.

[0131] This embodiment also discloses an advanced geological prediction system for underground engineering construction. Figure 4 As shown, the system includes:

[0132] A setting module 401 is used to set a plurality of sampling points on the surface of the construction site of the target underground project;

[0133] The sampling module 402 is used to generate a sampling signal to sample the underground layer of the construction site surface through each sampling point to obtain sampling data;

[0134] A determination module 403 is used to determine the bad geological body information in the underground layer of the construction site surface according to the sampling data;

[0135] The generating module 404 is used to generate a geological analysis report based on the adverse geological body information and upload it to the terminal device of the construction project team for forecasting.

[0136] The working principle and beneficial effects of the above technical solution have been described in the method claims and will not be repeated here.

[0137] Other embodiments of the present disclosure will be readily apparent to those skilled in the art after considering the specification and practicing the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0138] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method for advanced geological prediction of underground engineering construction, characterized in that: The following steps are involved: Set up multiple sampling points on the surface of the construction site of the target underground project; Generate a sampling signal to sample the underground layer on the surface of the construction site at each sampling point to obtain sampling data; Determine the unfavorable geological body information in the underground layer of the construction site surface according to the sampling data; Generate a geological analysis report based on the adverse geological body information and upload it to the terminal device of the construction project team for forecasting; The method of setting a plurality of sampling points on the surface of the construction site of the target underground project includes: Obtain the planned plan for the target underground project and conduct a rationality analysis on it, and determine whether it is logically feasible based on the analysis results; If so, determining the project forecast occupancy volume of the construction project based on the predetermined plan of the target underground project; Determine the occupied area surface of the construction site based on the cross-sectional area in the predicted occupied volume of the project; Setting a plurality of sampling points on the surface of the occupied area according to preset signal expansion characteristic parameters of the collected signal; Generate sampling signals to sample the underground layer on the surface of the construction site at each sampling point to obtain sampling data, including: Determine the construction depth of the construction project according to the predetermined plan, and determine the sampling depth of the sampling signal based on the construction depth and the project occupied volume; Setting a target transmission frequency and a target signal strength of a sampling signal according to the sampling depth; Generate an ultrasonic sampling signal of a target transmission frequency and a target signal strength and import it into a signal transmitter at each sampling point via wireless communication; The ultrasonic sampling signal is transmitted to the ground surface by the signal transmitter at each sampling point, and the sampling data of each sampling point is obtained in real time; Determining the adverse geological body information in the underground layer of the construction site surface according to the sampling data includes: Based on the AlexNet convolutional neural network model algorithm, the sampled data is screened for bad track data, and the initial sampled data corresponding to the screened bad track number is linearly corrected to obtain the processed sampled data; Constructing a signal transmission spectrum at each sampling point according to the processed sampling data; Analyze the signal transmission spectrum of each sampling point based on a preset deep learning algorithm to obtain analysis results; Based on the analysis results of each sampling point, the structural and scale information of the adverse geological body in the underground layer where the construction project is located is comprehensively determined.

2. The method for advanced geological prediction of underground engineering construction according to claim 1, characterized in that: The generating of the geological analysis report based on the adverse geological body information and uploading it to the terminal device of the construction project team for forecasting includes: Analyze the structural and scale information of adverse geological bodies to generate geological prediction tables; Determine the impact of unfavorable geological bodies on the construction progress of the target underground project through the geological prediction table; Determining the compatibility between the predetermined plan of the target underground project and the construction position of the underground layer on the surface of the construction site according to the construction impact schedule; A geological analysis report is generated based on the compatibility and uploaded to the terminal device of the construction project team.

3. The method for advanced geological prediction of underground engineering construction according to claim 1, characterized in that: Before transmitting the ultrasonic sampling signal to the ground surface through the signal transmitter of each sampling point to obtain the sampling data of each sampling point in real time, the method further includes: Acquire the working parameters of the signal transmitter at each sampling point, and determine the signal transmission mechanism of each signal transmitter according to the working parameters; Synchronizing the initial working states of all signal transmitters when transmitting ultrasonic sampling signals according to the signal transmission mechanism of each signal transmitter; Generate a transmission time synchronization trigger signal and a transmission parameter synchronization trigger signal; The transmission time synchronization trigger signal and the transmission parameter synchronization trigger signal are associated with the initial working state of each signal transmitter when transmitting the ultrasonic sampling signal to generate a sampling signal synchronization trigger control mechanism.

4. The method for advanced geological prediction of underground engineering construction according to claim 2 is characterized in that: The step of judging the impact of unfavorable geological bodies on the construction progress of the target underground project through the geological prediction table includes: Determine the structure and density information of the adverse geological body according to the geological prediction table; Constructing a virtual model of the bad geological body according to the structure and density information of the bad geological body, generating a vibration wave signal of the maximum vibration frequency emitted by the operation machine related to the construction project and inputting it into the virtual model; Determine the reflection wave data set and the transmission wave data set of the bad geological body for the vibration wave signal according to the output result of the virtual model; The reflected wave data set and the transmitted wave data set are integrated and analyzed, and the fault properties of the underground layer under the construction surface under the influence of construction vibration are determined according to the analysis results, and the impact of the unfavorable geological body on the construction progress of the target underground project is derived according to the fault properties.

5. The method for advanced geological prediction of underground engineering construction according to claim 1, characterized in that: After determining the unfavorable geological body information in the underground layer of the construction site surface according to the sampling data, the method further includes: Determine a first density parameter and a geochemical characteristic parameter of the bad geological body according to the bad geological body information, and calculate a ratio of the first density parameter to a second density parameter of the construction site surface; Collecting drilling parameters of a drilling machine when drilling a hole on the surface of a construction site, and inverting physical parameters of the undesirable geological body according to the drilling parameters and the ratio of the first density parameter to the second density parameter; Evaluate the target classification interval to which the bad geological body belongs based on the physical parameters and geochemical characteristic parameters of the bad geological body; Obtain geological parameters within the target classification range as reference data for geological analysis reports.

6. The method for advanced geological prediction of underground engineering construction according to claim 5 is characterized in that: The method further comprises: Construct constraint function of bad geological body according to fault attributes; Solving the constraint condition function, and determining the correlation coefficient between the stability of the unfavorable geological body and the external force intervention according to the solution result; Obtaining relevant construction variables of the external force intervention, and adjusting the relevant construction variables according to the correlation coefficient to meet the maximum stability of the unfavorable geological body; The predetermined plan of the target underground project is optimized according to the adjusted relevant construction variables, and the optimized predetermined plan is confirmed as the implementation plan of the target underground project.

7. An advanced geological prediction system for underground engineering construction, characterized in that: The system includes: A setting module, used to set a plurality of sampling points on the surface of the construction site of the target underground project; A sampling module is used to generate a sampling signal to sample the underground layer on the surface of the construction site through each sampling point to obtain sampling data; A determination module, used to determine the adverse geological body information in the underground layer of the construction site surface according to the sampling data; A generation module, used to generate a geological analysis report based on the adverse geological body information and upload it to the terminal device of the construction project team for forecasting; The method of setting a plurality of sampling points on the surface of the construction site of the target underground project includes: Obtain the planned plan for the target underground project and conduct a rationality analysis on it, and determine whether it is logically feasible based on the analysis results; If so, determining the project forecast occupancy volume of the construction project based on the predetermined plan of the target underground project; Determine the occupied area surface of the construction site based on the cross-sectional area in the predicted occupied volume of the project; Setting a plurality of sampling points on the surface of the occupied area according to preset signal expansion characteristic parameters of the collected signal; Generate sampling signals to sample the underground layer on the surface of the construction site at each sampling point to obtain sampling data, including: Determine the construction depth of the construction project according to the predetermined plan, and determine the sampling depth of the sampling signal based on the construction depth and the project occupied volume; Setting a target transmission frequency and a target signal strength of a sampling signal according to the sampling depth; Generate an ultrasonic sampling signal of a target transmission frequency and a target signal strength and import it into a signal transmitter at each sampling point via wireless communication; The ultrasonic sampling signal is transmitted to the ground surface by the signal transmitter at each sampling point, and the sampling data of each sampling point is obtained in real time; Determining the adverse geological body information in the underground layer of the construction site surface according to the sampling data includes: Based on the AlexNet convolutional neural network model algorithm, the sampled data is screened for bad track data, and the initial sampled data corresponding to the screened bad track number is linearly corrected to obtain the processed sampled data; Constructing a signal transmission spectrum at each sampling point according to the processed sampling data; Analyze the signal transmission spectrum of each sampling point based on a preset deep learning algorithm to obtain analysis results; Based on the analysis results of each sampling point, the structural and scale information of the adverse geological body in the underground layer where the construction project is located is comprehensively determined.

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