A decision-making method for selecting intelligent shield tunneling parameters

Abstract

The present invention discloses an intelligent shield tunneling parameter selection and decision-making method, comprising the following steps: determining the macroscopic mechanical parameters of composite strata; preparing experimental rock samples; rotating and cutting the rock samples using a comprehensive experimental platform for rock cutter action; recording the basic experimental parameters, cutterhead rock breaking parameters, and cutterhead mechanical parameters when cutting the rock samples; inputting the measured data results into a cutterhead rock breaking digital twin system to obtain the rock breaking parameters of a single cutter; conducting rock breaking experiments using multiple cutters, recording the basic experimental parameters, cutterhead rock breaking parameters, and cutterhead mechanical parameters when cutting the rock samples; inputting the measured data results into the cutterhead rock breaking digital twin system to obtain the rock breaking parameters of multiple cutters, and then importing them into the cutterhead rock breaking intelligent decision-making system to determine the final cutterhead rock breaking parameters. The present invention intelligently and systematically provides a safe and reliable rock breaking and tunneling parameter solution for the design of shield cutters in composite strata, thereby reducing engineering construction costs and improving tunneling efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of shield construction, and in particular to an intelligent shield tunneling parameter selection and decision-making method. Background Art

[0002] As my country's urbanization process continues to advance, the rail transit network continues to expand and intensify, construction conditions are becoming more and more demanding, and the surrounding environment is becoming more and more complex, posing new challenges to construction. The construction of underground projects in urban environments is characterized by the coexistence of rock and soil surrounding rock, predominantly soft composite strata, and complex structures. At the same time, the designed routes often pass through core areas and are adjacent to densely populated sensitive structures such as existing important buildings (structures), roads, overpasses, and underground pipelines. Engineering design and tunneling construction are both risky. Especially under the conditions of complex strata in sensitive urban areas, the theoretical guidance and construction technology methods of shield tunneling are relatively lagging, and engineering construction faces challenges in many aspects. The cutterhead is located at the front end of the shield tunneling machine and is in direct contact with the rock. It is the core of the research on tunneling and rock breaking. The primary rock-breaking tools on the cutterhead are the straight and edge cutters. Under the combined effects of the cutterhead's thrust and torque, these cutters engage in a complex rock-breaking process, intruding, compressing, and rolling the rock. Their rock-breaking efficiency and mechanical properties significantly impact tunneling efficiency. These cutters are also critical and consumable components during shield machine rock-breaking, ultimately determining the cost of shield excavation. Therefore, ensuring more efficient rock-breaking performance is a critical issue urgently needed for shield tunneling in complex strata, and studying their rock-breaking parameters has significant engineering value. Summary of the Invention

[0003] In order to solve the above-mentioned deficiencies in the prior art, the present invention provides an intelligent shield tunneling parameter selection and decision-making method to improve the efficiency of shield tunneling projects and enhance the economic efficiency of the project.

[0004] In order to achieve the above technical objectives, the technical solution adopted by the present invention is:

[0005] A method for selecting and deciding parameters of intelligent shield tunneling includes the following steps:

[0006] S1. Determine the macroscopic mechanical parameters of the composite formation based on the surrounding rock engineering geological survey report and the real-time drilling parameters of the tunnel face through the computer-assisted engineering geological parameter selection system;

[0007] S2. preparing a rock sample for composite formation experiment according to the formation macroscopic mechanical parameters determined in step S1;

[0008] S3. Install a single roller cutter on an intelligent large-diameter rotary roller cutter integrated test bench, remotely adjust the excavation and rock breaking parameters via a computer, and rotate the roller cutter to cut the rock sample prepared in step S2.

[0009] S4. Use a high-precision cutterhead mechanical analysis test sensor system to record the basic experimental parameters when cutting rock samples, cutterhead excavation and rock breaking parameters, and cutterhead mechanical parameters;

[0010] S5. Importing the experimental basic parameters, cutterhead excavation and rock breaking parameters, and cutterhead mechanical parameter results measured in step S4 into the cutterhead rock breaking digital twin system to obtain the excavation and rock breaking parameters of a single disc cutter;

[0011] S6. Based on the rock-breaking parameters of a single cutter determined in step S5, conduct a rock-breaking experiment using multiple cutters. The single cutter is removed and multiple cutters are installed. The rock-breaking parameters are remotely adjusted via a computer. The rock sample is cut with rotary motion. A high-precision cutterhead mechanical analysis and test sensor system is used to record basic experimental parameters, cutterhead rock-breaking parameters, and cutterhead mechanical parameters when the multiple cutters cut the rock sample.

[0012] S7. Importing the experimental basic parameters, cutterhead excavation and rock breaking parameters, and cutterhead mechanical parameter results measured in step S6 into the cutterhead rock breaking digital twin system to obtain the excavation and rock breaking parameters of the multiple disc cutters;

[0013] S8. Import the rock breaking parameters of multiple roller cutters obtained in S7 into the cutter head rock breaking intelligent decision-making system to determine the final rock breaking parameters of the roller cutters, and provide a safe and reliable rock breaking parameter solution for shield cutter head design.

[0014] Furthermore, the macroscopic mechanical parameters of the composite formation include but are not limited to bulk density, elastic modulus, Poisson's ratio, cohesion, internal friction angle and tensile strength.

[0015] Furthermore, the rock sample is prepared using rock blocks and concrete materials, the mechanical parameters of the rock blocks and concrete materials are similar to or consistent with the macroscopic mechanical parameters of step S1, and the rock sample is prepared into a circular column with an inner ring diameter of 0.5m and an outer ring diameter of 2m.

[0016] Furthermore, the rock sample is provided with a total of 8 trapezoidal rock blocks, which are evenly arranged in a ring around the center of the rock box, and concrete material fills the gaps between the rock blocks and between the rock blocks and the rock box.

[0017] Furthermore, in step S3, the cutter installed on the comprehensive test bench of the intelligent large-diameter rotary cutter rock machine is a positive cutter or an edge cutter. The cutter spacing and cutter inclination are remotely adjusted by a computer. The cutter disc uses vertical intrusion and pressure to break the rock and horizontal rotation of the rock box to complete the cutter rotary rock breaking experiment. The rock breaking range is between the inner and outer rolling lines.

[0018] Furthermore, in step S3, the basic experimental parameters include but are not limited to the total experimental time, the time required for the cutterhead to break rock and cut the rock sample one circle (2π), the cutter type and cutter radius; the excavation rock breaking parameters include but are not limited to the cutter spacing, cutter penetration rate, cutter penetration, cutterhead speed, cutterhead speed and cutter inclination angle; the cutterhead mechanical parameters include but are not limited to the cutterhead thrust and torque.

[0019] Furthermore, the high-precision cutterhead mechanical analysis and test sensor system consists of a measuring sensor, a data collector and a controller. The measuring sensor is arranged on the cutterhead of the cutter of the comprehensive experimental bench for the rock cutter action. The measuring sensor includes a pull-wire grating fiber optic sensor, a load sensor, and a torque sensor. The measuring sensor is electrically connected to the data collector, and the data collector is communicatively connected to the controller.

[0020] Furthermore, the cutterhead rock breaking digital twin system uses Python language to assign the experimental basic parameters, cutterhead excavation parameters in various experimental conditions, cutterhead mechanical parameters and composite formation macro-mechanical parameters to the three-dimensional discrete element particle flow software, establish a comprehensive rock breaking discrete element model of cutter rolling and intrusion pressure, extract and record the vertical force and rolling force of the cutter during the excavation process of the discrete element model through the fish language, output a dot-line graph with the x-axis as the cutterhead excavation process and the y-axis as the vertical force and rolling force through the plot command, calculate the average value of the vertical force and rolling force, and then calculate the cutter thrust and torque in various experimental conditions through the formula F 垂直力 =F 推力 / cosθ 滚刀倾角 Japanese style F 滚动力 =T 扭矩 / (R 当前滚刀的破岩半径 +sinθ 滚刀倾角 ·R 滚刀的半径 ) The vertical force and rolling force of the cutter during rock breaking and tunneling are calculated, and AI feature decision analysis is carried out. The AI ​​feature decision is based on the theory that the smaller the fluctuation range of the vertical force and rolling force of the cutter, the smaller the average rolling force, and the larger the average vertical force, the closer the contact between the cutter and the rock sample, the more through cracks in the rock sample, and the better the rock breaking effect. By comparing the discrete element model and various experimental conditions, the fluctuation range and average value of the vertical force and rolling force are obtained, and the specific cutterhead tunneling parameters are determined.

[0021] Furthermore, the cutterhead excavation and rock breaking intelligent decision-making system is based on the excavation and rock breaking parameter results of multiple roller cutters obtained by S7, fuzzy searches for approximate results of cutterhead excavation parameters with an error within 10% in the rock breaking parameter database, and provides three optimal shield excavation parameter selection schemes for manual decision-making, and records the final manually determined results under the current working conditions and uploads them again to the excavation and rock breaking parameter database.

[0022] Furthermore, a computer-readable storage medium is provided, characterized in that it is used to calculate and store a computer program, and the computer program is executed to implement a method for selecting and deciding intelligent shield tunneling parameters.

[0023] The beneficial effects of the present invention are:

[0024] The present invention's computer-aided shield tunneling parameter selection and decision-making method, based on digital twin and AI technology, uses a computer-assisted engineering geological parameter selection system to determine macroscopic mechanical parameters for complex geological conditions, and an intelligent large-diameter rotary rock cutter integrated test bench to conduct indoor experiments on the cutter. The resulting experimental basic parameters, cutterhead rock breaking parameters, and cutterhead mechanical parameter results are input into the cutterhead rock breaking digital twin system to determine the cutterhead rock breaking parameters. This reduces the testing workload and determines the optimal shield tunneling parameter scheme, effectively reducing risks such as tool wear, chipping, and shield over-excavation and under-excavation, thereby improving shield tunneling efficiency and engineering economy. At the same time, key shield tunneling parameters are collected and fed back through the tunneling rock breaking parameter database, further enabling tunneling control work under complex geological conditions to gradually develop in an intelligent direction. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 It is a flow chart of a method for selecting and deciding parameters of intelligent shield tunneling;

[0027] Figure 2 It is a top view of the rock specimen;

[0028] Figure 3 It is a schematic diagram of the rock mass;

[0029] Figure 4 This is a schematic diagram of an intelligent large-diameter rotary rock cutter comprehensive action test bench;

[0030] Figure 5 This is a bird's-eye view of the bedrock.

[0031] Figure numerals: 1-rock block; 2-concrete material; 3-rock box; 4-roller rock cutter comprehensive action test bench, 41-built-in intelligent control system of the test bench, 42-electric guide wheel and guide rail, 43-angle control electric hydraulic rod; 5-computer. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, 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 part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application for protection, but merely represents the selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0033] A method for selecting and deciding parameters of intelligent shield tunneling includes the following steps:

[0034] S1. The surrounding rock engineering geological survey report and the real-time drilling parameters of the tunnel face are transmitted to the computer, and the macroscopic mechanical parameters of the composite formation are determined according to the computer engineering geological parameter auxiliary selection system.

[0035] The macroscopic mechanical parameters of the composite formation include bulk density, elastic modulus, Poisson's ratio, cohesion, internal friction angle and tensile strength.

[0036] S2. Prepare a rock sample for composite formation experiment based on the macroscopic mechanical parameters of the composite formation determined in step S1. The rock sample is prepared from a rock block 1 and a concrete material 2. The mechanical parameters of the rock block 1 and the concrete material 2 are similar to or consistent with the macroscopic mechanical parameters determined in step S1. The rock sample is in the shape of a circular column with an inner diameter of 0.5m, an outer diameter of 2m, and a thickness of 0.4m. Figure 2 Preferably, the rock sample is provided with 8 trapezoidal rock blocks 1, which are evenly arranged in a ring around the center of the rock box 3, and the concrete material 2 fills the gaps between the rock blocks 1 and between the rock blocks 1 and the rock box 3.

[0037] S3, in the intelligent large diameter rotary rock cutter comprehensive test bench 4 ( Figure 4 ) is installed on the rock sample ( ) and the installed rock sample is a positive rock sample (0 degree inclination) or an edge rock sample (5 to 30 degree inclination). The rock sample penetration rate and the rock sample rotation speed are remotely adjusted by the computer 5, and the parameters such as the rock sample spacing and the rock sample inclination are adjusted by the electric guide wheel and the guide rail 42, so that the rock sample ( Figure 2 ). The hob rock cutter function comprehensive test bench ( Figure 4 ) The rotary rock breaking experiment of the cutterhead is completed by vertical pressure breaking of the cutter head and horizontal rotation of the rock box. The rock breaking range is between the inner and outer rolling pressure lines, such as Figure 5As shown. The surface of the rock sample must be processed at the beginning of the experiment. That is, before the formal rock cutter rock breaking experiment is carried out, the rock sample is first cut with a rock cutter to form a series of equally spaced grooves on the surface of the rock sample. Then, the rock cutter rock breaking experiment is carried out according to the experimental plan. The intelligent large-diameter rotary rock cutter integrated test bench and the control computer 5 equipped with the test bench can remotely control the working parameters of the rock cutter integrated test bench. The top of the rock cutter integrated test bench 4 is the built-in intelligent control system 41 of the test bench, the middle part is the electric guide wheel and guide rail 42, which are used to control the movement and adjust the tool position through electrical signals; the lower part is the angle control electric hydraulic rod 43, which is used to intelligently and dynamically adjust the tool position.

[0038] S4. Through high-precision cutterhead mechanical analysis and testing of the sensor system, the basic experimental parameters during rock breaking, cutterhead excavation and rock breaking parameters, and cutterhead mechanical parameters are recorded.

[0039] The basic experimental parameters include but are not limited to the total experimental time, the time required for the cutterhead to cut the rock sample one circle (2π), the cutter type and cutter diameter; the excavation rock breaking parameters include but are not limited to the cutter spacing, cutter penetration rate, cutterhead speed, cutterhead speed and cutter inclination angle; the cutterhead mechanical parameters include but are not limited to the cutterhead thrust and torque.

[0040] The cutterhead mechanics analysis and test sensor system is arranged on the cutterhead of the cutter of the comprehensive experimental platform for the rock cutter machine, and is composed of a measuring sensor, a data collector and a controller. The measuring sensor includes a pull-wire grating fiber optic sensor, a load sensor and a torque sensor, which can monitor the basic experimental parameters of the rock breaking of the cutterhead, the rock breaking parameters of the cutterhead and the mechanical parameters of the cutterhead in real time.

[0041] S5. Input the experimental basic parameters, cutterhead excavation and rock breaking parameters, and cutterhead mechanical parameter data results measured in step S4 into the cutterhead rock breaking digital twin system to obtain the single disc cutter excavation and rock breaking parameters.

[0042] The cutterhead rock-breaking digital twin system uses Python language to assign experimental basic parameters, cutterhead excavation parameters in various experimental conditions, cutterhead mechanical parameters, and composite formation macro-mechanical parameters to the three-dimensional discrete element particle flow software (PFC3D), establishes a comprehensive rock-breaking discrete element model of cutter rolling and intrusion, extracts and records the vertical force and rolling force of the cutterhead during the excavation process of the discrete element model through the fish language, and outputs a dot-line graph with the x-axis representing the cutterhead excavation process and the y-axis representing the vertical force and rolling force through the plot command. The average value of the vertical force and rolling force is calculated, and the cutterhead thrust and torque in various experimental conditions are calculated through F 垂直力 =F 推力 / cosθ 滚刀倾角 Japanese style F 滚动力 =T 扭矩 / (R 当前滚刀的破岩半径 +sinθ 滚刀倾角 ·R 滚刀的半径 ) The vertical force and rolling force of the disc cutter during rock breaking and tunneling were calculated, and AI feature decision analysis was carried out. The AI ​​feature decision was based on the theory that the smaller the fluctuation range of the vertical force and rolling force of the disc cutter, the smaller the average rolling force value, and the larger the average vertical force value, the closer the contact between the disc cutter and the rock sample, the more through cracks in the rock sample, and the better the rock breaking effect. By comparing the discrete element model with various experimental conditions, the fluctuation range and average value of the vertical force and rolling force were obtained, and the specific cutterhead tunneling parameters were determined, including the cutter spacing, cutter penetration rate, penetration degree, cutterhead speed, and cutter inclination angle.

[0043] S6. Based on the excavation and rock breaking parameters of a single disc cutter determined in step S5, conduct a multi-disc rock breaking experiment. Remove the single disc cutter and install multiple disc cutters. Remotely adjust the excavation and rock breaking parameters via a computer. Rotate and cut the rock sample. Use a high-precision cutterhead mechanical analysis test sensor system to record the basic experimental parameters, cutterhead excavation and rock breaking parameters, and cutterhead mechanical parameters when the multiple disc cutters cut the rock sample.

[0044] The intelligent large-diameter rotary rock cutter machine comprehensive test bench is used for indoor test of the cutter. The test bench can move horizontally toward the center of the rock sample along the radial direction along the three cutter head control axes, thereby controlling the cutter spacing of the rock cutter. The two angles between the three axes are both 70°, and the cutter spacing can be adjusted between 60 and 180 mm. The rock breaking range is between the inner and outer rolling lines. The radius of the inner rolling line is 250 mm, and the radius of the outer rolling line is 900 mm. The specific experimental plans for S5 and S6 are as follows:

[0045] ① To explore the rock breaking rules of a single roller cutter with different cutter spacing, the rock sample must be tested before the roller cutter rock breaking test begins ( Figure 2 ) surface to form a series of equally spaced grooves on the surface in order to obtain stable test data. A single disc cutter was then installed, with constant disc cutter angle (0-degree inclination), penetration rate (5mm / min), cutterhead speed (1rad / min), penetration (5mm), and cutterhead rotation number (4 turns). The disc cutter spacing was set to 45mm (rolling radius 450mm), 75mm (rolling radius 525mm), 90mm (rolling radius 615mm), 110mm (rolling radius 725mm), and 125mm (rolling radius 850mm). The disc cutter spacing varied from 45mm to 125mm. The parameters were recorded and transmitted to the cutterhead rock breaking digital twin system to determine the disc cutter spacing for the single disc cutter.

[0046] ② The rock-breaking behavior of a single disc cutter with different penetration depths was investigated. Based on the appropriate cutter spacing, a constant disc angle (0-degree inclination), penetration rate (5 mm / min), cutterhead speed (1 rad / min), and number of cutterhead rotations (4) were established. Rock-breaking tests with disc cutters at different penetration depths ranging from 3 mm to 12 mm were conducted. The parameters were recorded and transmitted to the cutterhead rock-breaking digital twin system to determine the penetration depth of a single disc cutter.

[0047] ③ The rock breaking behavior of a single disc cutter at different penetration rates and cutterhead speeds was investigated. Based on the appropriate cutter spacing and penetration depth, a constant disc angle (0-degree inclination) and cutterhead rotation number (4 turns) were established. Rock breaking tests were conducted at different penetration rates of 3 mm / min to 12 mm / min (fixed cutterhead speed of 1.2 rad / min) and at different cutterhead speeds of 0.8 rad / min to 2.0 rad / min (fixed penetration rate of 6 mm / min). The parameters were recorded and transmitted to the cutterhead rock breaking digital twin system to determine the penetration rate and cutterhead rotation speed of a single disc cutter.

[0048] ④ The rock breaking behavior of a single roller cutter at different cutter angles was investigated. Based on the appropriate cutter spacing, penetration, penetration rate, and cutterhead speed, a constant cutter angle (0-degree inclination) and cutterhead rotation number (4 turns) were established. Rock breaking tests were conducted at different cutter angles ranging from 0 to 30 degrees. The parameters were recorded and transmitted to the cutterhead rock breaking digital twin system to study the influence of the rolling angle of a single roller cutter on rock breaking.

[0049] ⑤ Explore the rock breaking patterns of multiple roller cutters at different cutter angles. Based on the appropriate cutter spacing, penetration, penetration rate, cutterhead speed, the rock breaking influence of the rolling angle of a single roller cutter, and the number of cutterhead rotations, conduct rock breaking tests using a combination of positive roller cutters (0-degree inclination) and edge roller cutters at different inclinations (5-30 degrees). Record the parameters and transmit them to the cutterhead rock breaking digital twin system to determine the rock breaking parameters of multiple roller cutters.

[0050] S7. Import the experimental basic parameters, cutterhead excavation and rock breaking parameters, and cutterhead mechanical parameter results measured in step S6 into the cutterhead rock breaking digital twin system to determine the excavation and rock breaking parameters of multiple disc cutters.

[0051] S8. Import the excavation and rock breaking parameters of the multiple rollers obtained in S7 into the cutterhead excavation and rock breaking intelligent decision-making system. Based on the excavation and rock breaking parameter results of the multiple rollers obtained in step S7, the cutterhead excavation and rock breaking intelligent decision-making system fuzzily searches for approximate results of the cutterhead excavation parameters with an error within 10% in the rock breaking parameter database, provides three optimal shield excavation parameter selection schemes for manual decision-making, and records the final manually determined results under the current working conditions and uploads them again to the excavation and rock breaking parameter database, thereby providing a safe and reliable rock breaking and excavation parameter scheme for shield cutterhead design.

[0052] A computer-readable storage medium is used for computing and storing a program, wherein the program is executed to implement the above-mentioned intelligent shield tunneling parameter selection and decision-making method.

[0053] Of course, the present invention may have many other embodiments. Without departing from the spirit and essence of the present invention, those skilled in the art may make various corresponding changes and modifications based on the present invention, but these corresponding changes and modifications should all fall within the scope of protection of the claims attached to the present invention.

Claims

1. An intelligent shield tunneling parameter selection and decision-making method, characterized by: The steps include: S1. Determine the macroscopic mechanical parameters of the composite formation based on the surrounding rock engineering geological survey report and the real-time drilling parameters of the tunnel face through the computer-assisted engineering geological parameter selection system; S2. preparing a rock sample for composite formation experiment according to the macroscopic mechanical parameters of the composite formation determined in step S1; S3. Install a single roller cutter on an intelligent large-diameter rotary roller cutter integrated test bench, remotely adjust the excavation and rock breaking parameters via a computer, and rotate the roller cutter to cut the rock sample prepared in step S2. S4. Use a high-precision cutterhead mechanical analysis test sensor system to record the basic experimental parameters when cutting rock samples, cutterhead excavation and rock breaking parameters, and cutterhead mechanical parameters; S5. Importing the experimental basic parameters, cutterhead excavation and rock breaking parameters, and cutterhead mechanical parameter results measured in step S4 into the cutterhead rock breaking digital twin system to determine the excavation and rock breaking parameters of a single disc cutter; S6. Based on the rock-breaking parameters of a single cutter determined in step S5, conduct a rock-breaking experiment using multiple cutters. The single cutter is removed and multiple cutters are installed. The rock-breaking parameters are remotely adjusted via a computer. The rock sample is cut with rotary motion. A high-precision cutterhead mechanical analysis and test sensor system is used to record basic experimental parameters, cutterhead rock-breaking parameters, and cutterhead mechanical parameters when the multiple cutters cut the rock sample. S7, importing the experimental basic parameters, cutterhead excavation and rock breaking parameters, and cutterhead mechanical parameter results measured in step S6 into the cutterhead rock breaking digital twin system to determine the excavation and rock breaking parameters of the multiple disc cutters; S8. Import the rock breaking parameters of multiple roller cutters obtained in S7 into the cutter head rock breaking intelligent decision-making system to determine the final rock breaking parameters of the roller cutters, and provide a safe and reliable rock breaking parameter solution for shield cutter head design.

2. The method for selecting and deciding intelligent shield tunneling parameters according to claim 1 is characterized in that: The macroscopic mechanical parameters of the composite formation include but are not limited to bulk density, elastic modulus, Poisson's ratio, cohesion, internal friction angle and tensile strength.

3. The method for selecting and deciding intelligent shield tunneling parameters according to claim 1 is characterized in that: The rock sample is prepared using rock blocks and concrete materials. The mechanical parameters of the rock blocks and concrete materials are similar to or consistent with the macroscopic mechanical parameters determined in step S1. The rock sample is prepared into a circular column with an inner ring diameter of 0.5m and an outer ring diameter of 2m.

4. The method for selecting and deciding intelligent shield tunneling parameters according to claim 3 is characterized in that: The rock sample is provided with 8 trapezoidal rock blocks, which are evenly distributed in a ring around the center of the rock box, and concrete material is used to fill the gaps between the rock blocks and between the rock blocks and the rock box.

5. The method for selecting and deciding intelligent shield tunneling parameters according to claim 1 is characterized in that: In step S3, the cutter installed on the comprehensive test bench of the intelligent large-diameter rotary cutter rock machine is a positive cutter or an edge cutter. The cutter spacing and cutter inclination are remotely adjusted by a computer. The cutter disc uses vertical intrusion and pressure to break the rock and horizontal rotation of the rock box to complete the rotary cutter rock breaking experiment. The rock breaking range is between the inner and outer rolling lines.

6. The method for selecting and deciding intelligent shield tunneling parameters according to claim 1 is characterized in that: In step S3, the basic experimental parameters include but are not limited to the total experimental time, the time required for the cutterhead to break rock and cut the rock sample for one cycle, the cutter type and cutter diameter; the excavation rock breaking parameters include but are not limited to the cutter spacing, cutter penetration rate, cutterhead speed and cutter inclination angle; the cutterhead mechanical parameters include but are not limited to the cutterhead thrust and torque.

7. The method for selecting and deciding intelligent shield tunneling parameters according to claim 1 is characterized in that: The high-precision cutterhead mechanical analysis and test sensor system consists of a measuring sensor, a data collector and a controller. The measuring sensor is arranged on the cutterhead of the hob rock cutter comprehensive experimental platform. The measuring sensor includes a pull-wire grating fiber optic sensor, a load sensor, and a torque sensor. The measuring sensor is electrically connected to the data collector, and the data collector is communicatively connected to the controller.

8. The method for selecting and deciding intelligent shield tunneling parameters according to claim 1 is characterized in that: The cutterhead rock breaking digital twin system uses Python language to assign experimental basic parameters, cutterhead excavation parameters in various experimental conditions, cutterhead mechanical parameters and composite formation macro-mechanical parameters to three-dimensional discrete element particle flow software, establish a comprehensive rock breaking discrete element model of cutter rolling and intrusion pressure, extract and record the vertical force and rolling force of the cutterhead during the excavation process of the discrete element model through fish language, output a dot-line graph with the x-axis as the cutterhead excavation process and the y-axis as the vertical force and rolling force through the plot command, calculate the average value of the vertical force and rolling force, and then use the cutterhead thrust and torque in various experimental conditions through the formula F 垂直力 = F 推力 / cos θ 滚刀倾角 Japanese style F 滚动力 = T 扭矩 / ( R 当前滚刀的破岩半径 +sin θ 滚刀倾角 ·R 滚刀的半径 ) The vertical force and rolling force of the cutter during rock breaking and tunneling are calculated, and AI feature decision analysis is carried out. The AI ​​feature decision is based on the theory that the smaller the fluctuation range of the vertical force and rolling force of the cutter, the smaller the average rolling force, and the larger the average vertical force, the closer the contact between the cutter and the rock sample, the more through cracks in the rock sample, and the better the rock breaking effect. By comparing the discrete element model and various experimental conditions, the fluctuation range and average value of the vertical force and rolling force are obtained, and the specific cutterhead tunneling parameters are determined.

9. The method for selecting and deciding intelligent shield tunneling parameters according to claim 1, characterized in that: The cutterhead excavation and rock breaking intelligent decision-making system is based on the excavation and rock breaking parameter results of multiple roller cutters obtained in step S7, fuzzy searches for approximate results of cutterhead excavation parameters with an error within 10% in the rock breaking parameter database, provides three optimal shield excavation parameter selection schemes for manual decision-making, and records the final manually determined results under the current working conditions and uploads them again to the excavation and rock breaking parameter database.

10. A computer-readable storage medium, characterized in that: Used for computing and storing programs, wherein the programs are executed to implement the method for selecting and deciding the parameters of intelligent shield tunneling as described in any one of claims 1-9.

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