A method and related equipment for testing tunnel surrounding rock pressure during construction

Abstract

The present invention discloses a method and related equipment for testing tunnel surrounding rock pressure during construction. The method includes: obtaining pressure monitoring data of the target position of tunnel surrounding rock; obtaining the construction angle and excavation component pressure of the construction equipment; determining the surrounding rock pressure data based on the above pressure monitoring data, the above construction angle, the above excavation component pressure and the surrounding rock pressure simulation model, wherein the above surrounding rock pressure simulation model is obtained by deep learning based on historical measurement data and historical simulation data. The present application obtains a simulation model through deep learning of historical measurement data and historical simulation data, and obtains pressure monitoring data, construction angle and excavation component pressure in a timely manner during the construction process and uses the simulation model for simulation, obtains surrounding rock pressure data at various positions of the tunnel under the current construction state, implements on-site monitoring and safety warnings during the construction process, and improves the safety of tunnel construction.

Description

Technical Field

[0001] The present specification relates to the field of tunnel engineering, and more specifically, the present invention relates to a method for testing tunnel surrounding rock pressure during construction and related equipment. Background Art

[0002] Surrounding rock pressure is the stress of surrounding rock on the supporting structure in the tunnel. The geological environment and support setting methods in different regions, as well as the mining methods in the mining process, will affect the stress of the tunnel, thereby changing the size of the surrounding rock pressure. If the surrounding rock pressure exceeds the design requirements of the supporting structure, it will cause the supporting structure to deform, and in severe cases, it will cause some geological disasters. The existing surrounding rock force determination method usually only analyzes the stress of the surrounding rock through stress sensors installed in the tunnel, but in the actual construction process, it cannot monitor and warn the changes in surrounding rock pressure well. Summary of the invention

[0003] A series of simplified concepts are introduced in the Summary of the Invention, which will be further described in detail in the Detailed Description of the Invention. The Summary of the Invention does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the scope of protection of the claimed technical solution.

[0004] In order to propose a method for testing tunnel surrounding rock pressure during construction that can be used in engineering, in a first aspect, the present invention proposes a method for testing tunnel surrounding rock pressure during construction, the method comprising:

[0005] Obtain pressure monitoring data at target locations of tunnel surrounding rock;

[0006] Obtain the construction angle of the construction equipment and the pressure of the excavation components;

[0007] The surrounding rock pressure data is determined based on the above-mentioned pressure monitoring data, the above-mentioned construction angle, the above-mentioned tunneling component pressure and the surrounding rock pressure simulation model, wherein the above-mentioned surrounding rock pressure simulation model is obtained by deep learning based on historical measurement data and historical simulation data.

[0008] Optionally, the pressure monitoring data include steel arch pressure data and processed surrounding rock pressure data;

[0009] The pressure monitoring data of the target position of the tunnel surrounding rock is obtained as follows:

[0010] Acquire the steel arch frame pressure data at the first detection position, wherein the steel arch frame pressure data is acquired according to the pressure sensor welded on the steel arch frame;

[0011] The processed surrounding rock pressure data at the second detection position is obtained, wherein the processed surrounding rock pressure data is obtained based on a pressure sensor pre-buried in the surrounding rock.

[0012] Optionally, the above-mentioned obtaining of the construction angle of the construction equipment and the pressure of the excavation component includes:

[0013] Acquire the above construction angle information based on position data acquired by a position sensor installed on the head of the construction equipment;

[0014] The pressure of the excavation component is obtained according to the pressure of the hydraulic assembly corresponding to the excavation component.

[0015] Optionally, the above method further includes:

[0016] Obtain temperature information of target location of tunnel surrounding rock;

[0017] The method of determining the surrounding rock pressure data based on the pressure monitoring data, the construction angle, the tunneling component pressure and the surrounding rock pressure simulation model includes:

[0018] The surrounding rock pressure data is determined based on the temperature information, the pressure monitoring data, the construction angle, the tunneling component pressure and the surrounding rock pressure simulation model.

[0019] Optionally, the above method further includes:

[0020] Construct an ABAQUS initial simulation model based on the geological conditions of the target tunnel;

[0021] The initial geological stress information obtained in the early stage is used as the initial stress of the above-mentioned ABAQUS initial simulation model;

[0022] The corresponding unit models of the above ABAQUS initial simulation model are modified and deleted based on the construction progress;

[0023] Simulating using modified and deleted models based on construction direction and construction stress to obtain the above historical simulation data;

[0024] Deep learning is performed based on historical measurement data and the above historical simulation data to construct the above surrounding rock pressure simulation model.

[0025] Optionally, determining the surrounding rock pressure data based on the pressure monitoring data, the construction angle, and the tunneling component pressure and surrounding rock pressure simulation model includes:

[0026] Obtaining a first correlation coefficient between the construction angle and the construction direction;

[0027] Obtaining a second correlation coefficient between the construction stress and the excavation component pressure;

[0028] The construction angle with the largest first correlation coefficient and greater than the preset correlation coefficient and the construction stress with the largest second correlation coefficient and greater than the preset correlation coefficient are selected as inputs of the surrounding rock simulation model to determine the surrounding rock pressure data.

[0029] Optionally, the above method further includes:

[0030] In the case where the maximum value of the first correlation coefficient is less than the preset correlation coefficient or the maximum value of the second correlation coefficient is less than the preset correlation, a weighted correlation coefficient is calculated according to the first weight coefficient, the second weight coefficient, the first correlation coefficient and the second correlation coefficient, wherein the first weight coefficient is the weight coefficient corresponding to the first correlation coefficient, the second weight coefficient is the weight coefficient corresponding to the second correlation coefficient, and the second weight coefficient is greater than the first weight coefficient;

[0031] The construction angle and the construction stress corresponding to the maximum weighted correlation coefficient are selected as inputs of the surrounding rock simulation model to determine the surrounding rock pressure data.

[0032] In a second aspect, the present invention further provides a tunnel surrounding rock pressure testing device during construction, comprising:

[0033] A first acquisition unit is used to acquire pressure monitoring data at a target position of the tunnel surrounding rock;

[0034] The second acquisition unit is used to acquire the construction angle of the construction equipment and the pressure of the excavation component;

[0035] A determination unit is used to determine the surrounding rock pressure data based on the above-mentioned pressure monitoring data, the above-mentioned construction angle, the above-mentioned tunneling component pressure and the surrounding rock pressure simulation model, wherein the above-mentioned surrounding rock pressure simulation model is obtained by deep learning based on historical measurement data and historical simulation data.

[0036] In a third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of a method for testing tunnel surrounding rock pressure during construction as described in any one of the first aspects above when executing the computer program stored in the memory.

[0037] In a fourth aspect, the present invention further proposes a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for testing tunnel surrounding rock pressure during construction according to any one of the above items in the first aspect is implemented.

[0038] In summary, the method for testing the surrounding rock pressure of a tunnel during construction in an embodiment of the present application includes: obtaining pressure monitoring data of a target position of the surrounding rock of the tunnel; obtaining the construction angle of the construction equipment and the pressure of the excavation components; determining the surrounding rock pressure data based on the above pressure monitoring data, the above construction angle, the above excavation component pressure and the surrounding rock pressure simulation model, wherein the above surrounding rock pressure simulation model is obtained by deep learning based on historical measurement data and historical simulation data. A method for testing the surrounding rock pressure of a tunnel during construction provided in an embodiment of the present application obtains a simulation model through deep learning of historical measurement data and historical simulation data, and obtains pressure monitoring data, construction angle and excavation component pressure in a timely manner during the construction process and uses the simulation model for simulation, obtains the surrounding rock pressure data of each position of the tunnel under the current construction state, implements on-site monitoring and safety warnings during the construction process, and improves the safety of tunnel construction.

[0039] The method for testing tunnel surrounding rock pressure during construction of the present invention, other advantages, objectives and features of the present invention will be reflected in part through the following description, and in part will also be understood by technicians in this field through research and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0041] Figure 1 A schematic diagram of a method for testing tunnel surrounding rock pressure during construction provided in an embodiment of the present application;

[0042] Figure 2 A schematic diagram of the structure of a tunnel surrounding rock pressure testing device during construction provided by an embodiment of the present application;

[0043] Figure 3 A schematic diagram of the structure of an electronic device for testing tunnel surrounding rock pressure during construction provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] The embodiment of the present application provides a method for testing the surrounding rock pressure of a tunnel during the construction process. A simulation model is obtained through deep learning of historical measurement data and historical simulation data. During the construction process, pressure monitoring data, construction angles, and pressure of excavation components are obtained in a timely manner and simulated using the simulation model. The surrounding rock pressure data of various positions of the tunnel under the current construction state are obtained. During the construction process, on-site monitoring and safety warnings are implemented to improve the safety of tunnel construction.

[0045] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0046] See also Figure 1 , which is a flow chart of a method for testing tunnel surrounding rock pressure during construction provided by an embodiment of the present application, which may specifically include:

[0047] S110, obtaining pressure monitoring data of a target position of tunnel surrounding rock;

[0048] For example, surrounding rock refers to the part of the rock mass whose original stress state has changed due to artificial excavation. After the excavation of the cavern, the surrounding rock will undergo secondary stress distribution, and its stress distribution can be divided into elastic distribution and elastoplastic distribution: it is usually understood that when the secondary distribution stress of the rock mass is less than the rock mass's own strength, it is elastically distributed, and when the secondary stress is greater than the rock mass's own strength, it is in an elastoplastic state. In an ideal state, it can reach a stable state without support. In actual engineering, it is rare that support measures are not added after excavation, and the load acting on the support is regarded as surrounding rock pressure in a narrow sense. After the development of rock mass theory, a large number of on-site monitoring results show that surrounding rock and support cannot be simply regarded as two independent systems. The rock mass itself is also part of the support structure. In practice, it should be understood that the support structure and the rock mass are regarded as a whole. The size of surrounding rock pressure is an important theoretical basis for the design of tunnel support structure. The calculation of surrounding rock pressure is a complex problem. Accurate calculation of surrounding rock pressure involves the physical properties of surrounding rock, failure mechanism and interaction between surrounding rock and support, and the construction methods and techniques of tunnel excavation will also have a certain impact on surrounding rock pressure.

[0049] In the tunnel, a group of pressure sensors should be set at fixed intervals in the direction of the excavation length. Each group of pressure sensors should be roughly evenly distributed in different directions within the excavation plane. The pressure sensors can be set on the support frame or in the solidified concrete to detect the pressure at different positions in the tunnel.

[0050] S120, obtaining a construction angle of the construction equipment and a pressure of a tunneling component;

[0051] For example, in the process of tunnel construction, various mining methods such as excavators and shield machines may be used. According to the mining plan, the construction equipment should dig at a preset angle, but construction errors are inevitable in the actual construction process. The construction angle can be obtained by the position sensor of the construction equipment, and the excavation pressure can be obtained through the pressure of the corresponding excavation components of the equipment.

[0052] S130. Determine the surrounding rock pressure data based on the pressure monitoring data, the construction angle, the tunneling component pressure and the surrounding rock pressure simulation model, wherein the surrounding rock pressure simulation model is obtained by deep learning based on historical measurement data and historical simulation data.

[0053] For example, by obtaining a surrounding rock pressure simulation model through deep learning of historical measured data and simulation data, and inputting the pressure monitoring data, construction angle and excavation component pressure during the construction process into the pressure simulation model, the surrounding rock pressure data of various positions in the tunnel under the current construction state can be obtained. By setting preset alarm thresholds, on-site monitoring and safety warnings can be implemented during the construction process to improve the safety of tunnel construction.

[0054] In summary, the embodiment of the present application provides a method for testing the surrounding rock pressure of a tunnel during the construction process. A simulation model is obtained through deep learning of historical measurement data and historical simulation data. During the construction process, pressure monitoring data, construction angles, and pressure of excavation components are obtained in a timely manner and simulated using the simulation model. The surrounding rock pressure data of each position of the tunnel under the current construction state is obtained. During the construction process, on-site monitoring and safety warnings are implemented to improve the safety of tunnel construction.

[0055] In some examples, the pressure monitoring data includes steel arch pressure data and processed surrounding rock pressure data;

[0056] The pressure monitoring data of the target position of the tunnel surrounding rock is obtained as follows:

[0057] Acquire the steel arch frame pressure data at the first detection position, wherein the steel arch frame pressure data is acquired according to the pressure sensor welded on the steel arch frame;

[0058] The processed surrounding rock pressure data at the second detection position is obtained, wherein the processed surrounding rock pressure data is obtained based on a pressure sensor pre-buried in the surrounding rock.

[0059] For example, the stress of the steel arch frame can be monitored by using a surface strain gauge, which is welded to the steel arch frame. The deformation of the steel arch frame causes the tension of the steel string to change, resulting in a change in the frequency of the strain gauge, thereby measuring the pressure of the steel arch frame. Surrounding rock pressure monitoring is used to understand the stress distribution characteristics between the surrounding rock and the primary support after the support structure is constructed after the surrounding rock excavation. The surrounding rock pressure sensor is prefabricated and placed on the wall of the tunnel before spraying concrete. Multiple sensors can be evenly distributed on the wall of the tunnel.

[0060] In some examples, the obtaining of the construction angle of the construction equipment and the pressure of the excavation component includes:

[0061] Acquire the above construction angle information based on position data acquired by a position sensor installed on the head of the construction equipment;

[0062] The pressure of the excavation component is obtained according to the pressure of the hydraulic assembly corresponding to the excavation component.

[0063] For example, during the process of tunnel construction, various mining methods such as excavators and shield machines may be used. By installing a position sensor on the head of the construction equipment, the construction angle of the construction equipment during the excavation process can be obtained, and the force of the excavation equipment on the rock mass can be obtained based on the pressure of the excavation component on the hydraulic component, thereby determining the size and direction of the force applied to the tunnel during the construction process.

[0064] In some examples, the method further includes:

[0065] Obtain temperature information of target location of tunnel surrounding rock;

[0066] The method of determining the surrounding rock pressure data based on the pressure monitoring data, the construction angle, the tunneling component pressure and the surrounding rock pressure simulation model includes:

[0067] The surrounding rock pressure data is determined based on the temperature information, the pressure monitoring data, the construction angle, the tunneling component pressure and the surrounding rock pressure simulation model.

[0068] For example, in high-altitude cold regions, there may be permafrost that will freeze and thaw as the temperature changes. Different freeze-thaw stages will have a great impact on the internal stress of the tunnel. The tunnel's ambient temperature parameter is added during the mining and simulation process to accurately estimate the mechanical properties of rock and soil at different temperatures.

[0069] In some examples, the method further includes:

[0070] Construct an ABAQUS initial simulation model based on the geological conditions of the target tunnel;

[0071] The initial geological stress information obtained in the early stage is used as the initial stress of the above-mentioned ABAQUS initial simulation model;

[0072] The corresponding unit models of the above ABAQUS initial simulation model are modified and deleted based on the construction progress;

[0073] Simulating using modified and deleted models based on construction direction and construction stress to obtain the above historical simulation data;

[0074] Deep learning is performed based on historical measurement data and the above historical simulation data to construct the above surrounding rock pressure simulation model.

[0075] Exemplarily, different tunnels correspond to different geological conditions, which can be reflected in the type of materials, the density of materials, etc. According to the address conditions corresponding to the target tunnel, appropriate materials and densities are selected to construct the ABAQUS initial simulation model, and the initial geological stress information of the area is obtained through the data collected during the early geological exploration process as the initial stress of the ABAQUS model. The initial simulation model is modified and deleted according to the progress of the construction. If a new cavern is formed or the length of the cavern is lengthened, the corresponding unit of the model is deleted. If a new support is formed, the boundary conditions of the cavern are updated and modified. The construction direction and construction stress during the construction process are used as the stress input of the simulation model, and the simulation results are obtained. The obtained simulation results are compared with the measurement results of the sensors in the tunnel to build a connection between the two through deep learning. It should be noted that the simulation results can include simulation data at all locations, while the results of sensor measurements are only the results of installation at fixed measurement points. In order to make the learning process accurate, it is necessary to extract the simulation data corresponding to the measurement points to construct a surrounding rock pressure simulation model.

[0076] In some examples, determining the surrounding rock pressure data based on the pressure monitoring data, the construction angle, and the tunneling component pressure and surrounding rock pressure simulation model includes:

[0077] Obtaining a first correlation coefficient between the construction angle and the construction direction;

[0078] Obtaining a second correlation coefficient between the construction stress and the excavation component pressure;

[0079] The construction angle with the largest first correlation coefficient and greater than the preset correlation coefficient and the construction stress with the largest second correlation coefficient and greater than the preset correlation coefficient are selected as inputs of the surrounding rock simulation model to determine the surrounding rock pressure data.

[0080] Exemplarily, the construction angle and construction stress in the surrounding rock pressure simulation model trained with historical measurement data are not necessarily completely consistent with the current construction direction. Therefore, the first correlation coefficient of the construction angle and the construction direction is obtained, and the second correlation coefficient of the construction stress and the pressure of the excavation component is obtained. When the first correlation coefficient and the second correlation coefficient are both greater than the preset correlation coefficient, the construction angle and construction pressure with the largest corresponding to the two correlation coefficients are selected as the input of the simulation model to determine the surrounding rock pressure data. It should be noted that the preset correlation coefficient is a coefficient that considers that the training data and the measured data can meet the minimum correlation, which can be set to 0.8.

[0081] In some examples, the method further includes:

[0082] In the case where the maximum value of the first correlation coefficient is less than the preset correlation coefficient or the maximum value of the second correlation coefficient is less than the preset correlation, a weighted correlation coefficient is calculated according to the first weight coefficient, the second weight coefficient, the first correlation coefficient and the second correlation coefficient, wherein the first weight coefficient is the weight coefficient corresponding to the first correlation coefficient, the second weight coefficient is the weight coefficient corresponding to the second correlation coefficient, and the second weight coefficient is greater than the first weight coefficient;

[0083] The construction angle and the construction stress corresponding to the maximum weighted correlation coefficient are selected as inputs of the surrounding rock simulation model to determine the surrounding rock pressure data.

[0084] For example, when one of the first correlation coefficient or the second correlation coefficient does not meet the minimum correlation requirement, it is necessary to comprehensively consider the effects of the first correlation coefficient and the second correlation coefficient, and calculate the weighted correlation coefficient c by the following formula:

[0085] c=a1*b1+a2*b2

[0086] In the formula, a1 is the first correlation coefficient, b1 is the first weight coefficient, a2 is the second correlation coefficient, and b2 is the second weight coefficient.

[0087] The second weight coefficient is greater than the first weight coefficient. The deviation of the direction during tunnel excavation is generally small, and due to the uncertainty of geological characteristics, the change of excavation force is more serious for the stress change of the tunnel. It is more accurate to select the construction angle corresponding to the maximum weighted correlation coefficient and the above construction stress as the input of the surrounding rock simulation model to determine the surrounding rock pressure data.

[0088] In summary, an embodiment of the present application provides a method for testing tunnel surrounding rock pressure during construction, which determines the correlation between the construction direction and the pressure of the excavation components during the construction process and the construction angle and the construction pressure through a first correlation coefficient and a second correlation coefficient, and selects the construction angle with the largest correlation and the above-mentioned construction stress as the input of the surrounding rock simulation model to determine the surrounding rock pressure data more accurately.

[0089] See also Figure 2 , an embodiment of a tunnel surrounding rock pressure testing device during construction in the embodiment of the present application may include:

[0090] A first acquisition unit 21 is used to acquire pressure monitoring data at a target position of the tunnel surrounding rock;

[0091] The second acquisition unit 22 is used to acquire the construction angle of the construction equipment and the pressure of the excavation component;

[0092] The determination unit 23 is used to determine the surrounding rock pressure data based on the above-mentioned pressure monitoring data, the above-mentioned construction angle, the above-mentioned excavation component pressure and the surrounding rock pressure simulation model, wherein the above-mentioned surrounding rock pressure simulation model is obtained by deep learning based on historical measurement data and historical simulation data.

[0093] like Figure 3 As shown, an embodiment of the present application also provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 320 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any method of testing the surrounding rock pressure of the tunnel during the above-mentioned construction process are implemented.

[0094] Since the electronic device introduced in this embodiment is a device used to implement a method for testing tunnel surrounding rock pressure during construction in an embodiment of the present application, based on the method introduced in the embodiment of the present application, technical personnel in this field can understand the specific implementation mode of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present application is not introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of the present application is within the scope of protection of this application.

[0095] In the specific implementation process, when the computer program 311 is executed by the processor, it can achieve Figure 1 Any implementation manner in the corresponding embodiments.

[0096] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0097] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0098] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0099] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0100] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0101] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device is caused to execute the following Figure 1 The process of tunnel surrounding rock pressure testing during the construction process in the corresponding embodiment.

[0102] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integration. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)), etc.

[0103] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0104] In the several embodiments provided in the present 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 only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0105] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0106] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0107] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0108] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some of the technical features therein 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 application.

Claims

1. A method for testing tunnel surrounding rock pressure during construction, characterized in that: include: Obtain pressure monitoring data at target locations of tunnel surrounding rock; Obtain the construction angle of the construction equipment and the pressure of the excavation components; Determining surrounding rock pressure data based on the pressure monitoring data, the construction angle, the excavation component pressure, and a surrounding rock pressure simulation model, wherein the surrounding rock pressure simulation model is obtained by deep learning based on historical measurement data and historical simulation data; The pressure monitoring data includes steel arch pressure data and processed surrounding rock pressure data; The step of obtaining pressure monitoring data at a target position of tunnel surrounding rock includes: Acquire steel arch frame pressure data at a first detection position, wherein the steel arch frame pressure data is acquired according to a pressure sensor welded on the steel arch frame; Acquiring processed surrounding rock pressure data at a second detection position, wherein the processed surrounding rock pressure data is acquired based on a pressure sensor pre-buried in the surrounding rock; The obtaining of the construction angle of the construction equipment and the pressure of the excavation components includes: Acquire the construction angle information according to position data acquired by a position sensor installed on the head of the construction equipment; The pressure of the excavation component is obtained according to the pressure of the hydraulic assembly corresponding to the excavation component.

2. The method according to claim 1, characterized in that Also includes: Obtain temperature information of target location of tunnel surrounding rock; The determining of surrounding rock pressure data based on the pressure monitoring data, the construction angle, the tunneling component pressure and the surrounding rock pressure simulation model comprises: The surrounding rock pressure data is determined based on the temperature information, the pressure monitoring data, the construction angle, and the tunneling component pressure and surrounding rock pressure simulation model.

3. The method of claim 1, further comprising: Construct an ABAQUS initial simulation model based on the geological conditions of the target tunnel; Using the initial geological stress information obtained in the early stage as the initial stress of the ABAQUS initial simulation model; Modify and delete the corresponding unit model of the ABAQUS initial simulation model based on the construction progress; Performing simulation using the modified and deleted models based on the construction direction and the construction stress to obtain the historical simulation data; Deep learning is performed based on the historical measurement data and the historical simulation data to construct the surrounding rock pressure simulation model.

4. The method according to claim 3, characterized in that The determining of surrounding rock pressure data based on the pressure monitoring data, the construction angle, the tunneling component pressure and the surrounding rock pressure simulation model comprises: Obtaining a first correlation coefficient between the construction angle and the construction direction; Obtaining a second correlation coefficient between the construction stress and the excavation component pressure; The construction angle at which the first correlation coefficient is maximum and greater than a preset correlation coefficient and the construction stress at which the second correlation coefficient is maximum and greater than the preset correlation coefficient are selected as inputs of the surrounding rock pressure simulation model to determine surrounding rock pressure data.

5. The method according to claim 4, characterized in that Also includes: When the maximum value of the first correlation coefficient is less than the preset correlation coefficient or the maximum value of the second correlation coefficient is less than the preset correlation coefficient, a weighted correlation coefficient is calculated according to the first weight coefficient, the second weight coefficient, the first correlation coefficient and the second correlation coefficient, wherein the first weight coefficient is the weight coefficient corresponding to the first correlation coefficient, the second weight coefficient is the weight coefficient corresponding to the second correlation coefficient, and the second weight coefficient is greater than the first weight coefficient; The construction angle and the construction stress corresponding to the maximum weighted correlation coefficient are selected as inputs of the surrounding rock pressure simulation model to determine the surrounding rock pressure data.

6. A device for testing tunnel surrounding rock pressure during construction, characterized in that: include: A first acquisition unit is used to acquire pressure monitoring data at a target position of the tunnel surrounding rock; The second acquisition unit is used to acquire the construction angle of the construction equipment and the pressure of the excavation component; a determination unit, configured to determine surrounding rock pressure data based on the pressure monitoring data, the construction angle, the excavation component pressure, and a surrounding rock pressure simulation model, wherein the surrounding rock pressure simulation model is obtained by deep learning based on historical measurement data and historical simulation data; The pressure monitoring data includes steel arch pressure data and processed surrounding rock pressure data; The step of obtaining pressure monitoring data at a target position of tunnel surrounding rock includes: Acquire steel arch frame pressure data at a first detection position, wherein the steel arch frame pressure data is acquired according to a pressure sensor welded on the steel arch frame; Acquiring processed surrounding rock pressure data at a second detection position, wherein the processed surrounding rock pressure data is acquired based on a pressure sensor pre-buried in the surrounding rock; The obtaining of the construction angle of the construction equipment and the pressure of the excavation components includes: Acquire the construction angle information according to position data acquired by a position sensor installed on the head of the construction equipment; The pressure of the excavation component is obtained according to the pressure of the hydraulic assembly corresponding to the excavation component.

7. An electronic device comprising: A memory and a processor, wherein the processor is used to implement the steps of the method for testing the surrounding rock pressure of a tunnel during construction as described in any one of claims 1 to 5 when executing the computer program stored in the memory.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for testing the surrounding rock pressure of a tunnel during construction as described in any one of claims 1 to 5 is implemented.

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