Shield construction management and control method and system based on digital twin platform

Abstract

The invention discloses a shield construction management and control method and system based on a digital twin platform, and the method comprises the steps: obtaining geological data and shield tunneling machine data, and constructing a twin finite element model corresponding to a target shield interval tunnel according to the geological data and the shield tunneling machine data; shield tunneling machine excavation simulation calculation is conducted on the twinborn finite element model, and the twinborn finite element model is divided into a plurality of sub-models according to the daily planned tunneling amount after calculation is completed; the width of the sub-model in the tunneling direction is the daily planned tunneling amount; according to a simulation calculation result of the twinborn finite element model, constructing a boundary condition of each sub-model to form a plurality of twinborn sub-models; and managing and controlling the process of tunneling the target shield interval tunnel by the shield tunneling machine through the plurality of twin sub-models. According to the method, the data of the previous round of construction are accurately fed back to the calculation of the next round in a segmented calculation mode, so that the accuracy of model simulation is effectively improved, and the prediction of the risk of the next round of shield construction is improved.

Description

Technical Field

[0001] This invention relates to the field of digital twin technology, and more specifically to a method and system for shield tunneling construction management based on a digital twin platform. Background Technology

[0002] The risks of tunnel boring machine (TBM) construction mainly stem from: sudden encounters with boulders, instability of soft soil, or sudden pressure surges leading to loss of attitude and cutterhead jamming; insufficient synchronous grouting or delayed monitoring causing excessive ground settlement and cracking of structures; and the potential for personal injury due to high-voltage electricity, toxic gases, and overlapping operations. Digital twin technology can quickly issue tiered warnings by comparing predicted and actual measurements in real time, and automatically recommend measures such as speed adjustment, pressure adjustment, and grout replenishment. Drivers can execute these measures with a single click or manually verify them, thus transforming post-incident emergency response into pre-incident intervention and significantly reducing the overall risk of TBM construction.

[0003] In the prior art, Chinese patent application number 202210838252.6 discloses a method for global extrapolation of internal forces in existing shield tunnels based on digital twins. This method includes determining the key sections of the existing shield tunnel structure, forming a finite element numerical model of the key section design, setting sensors at the key sections, calculating the segment thickness reduction factor and the concrete elastic modulus reduction factor γ, forming a numerical simulation model of the key section of the existing shield tunnel in virtual space, generating a set of tunnel segment thickness reduction factors and concrete elastic modulus reduction factors, calculating the stress result dataset of the shield tunnel structure, and obtaining a digital twin model of the key section of the existing shield tunnel. The corresponding calculated internal forces and displacements are the global internal forces and displacements of the structure. However, for actual construction, the underground geological structure is complex, making it difficult to obtain an accurate simulation model. Summary of the Invention

[0004] In order to at least overcome the above-mentioned shortcomings in the prior art, the purpose of this application is to provide a method and system for shield tunneling construction management based on a digital twin platform.

[0005] In a first aspect, embodiments of this application provide a method for shield tunneling construction management and control based on a digital twin platform, including: Obtain geological data and tunnel boring machine data for the target shield tunnel section, and construct a twin finite element model of the target shield tunnel section based on the geological data and tunnel boring machine data. The twin finite element model is used for shield tunneling machine excavation simulation calculations. After the calculations are completed, the twin finite element model is divided into multiple sub-models according to the daily planned excavation volume. The width of each sub-model along the tunnel excavation direction is the daily planned excavation volume. Based on the simulation results of the twin finite element model, the boundary conditions of each sub-model are constructed to form multiple twin sub-models; The process of the tunnel boring machine excavating the target shield tunnel section is controlled by using multiple twin models.

[0006] In one possible implementation, the construction of the twin model includes: Obtain the cell data of the boundary surface of each twin model in the simulation calculation results, and assign the cell data to the boundary of the twin model.

[0007] In one possible implementation, controlling the process of the tunnel boring machine excavating the target shield tunnel section using multiple twin models includes: When a daily planned tunneling volume is completed, acquire the shield machine data and geological data corresponding to the current daily planned tunneling volume, and update the current twin model corresponding to the current daily planned tunneling volume; Perform tunneling calculations on the updated current twin model to obtain the boundary conditions of the next round twin model corresponding to the next planned tunneling volume of the updated current daily planned tunneling volume; The secondary twin model is updated using this boundary condition, and tunneling calculations are performed to obtain ground settlement data. The tunneling process for the next day's planned tunneling volume is controlled based on the ground settlement data.

[0008] In one possible implementation, the boundary conditions for obtaining the next round twin model corresponding to the updated daily planned tunneling volume include: Obtain the cell data at the boundary between the current twin model and the next-round twin model in the tunneling calculation results, and assign the cell data to the corresponding boundary of the next-round twin model.

[0009] In one possible implementation, controlling the tunneling process based on the ground settlement data for the planned daily tunneling volume includes: When the ground settlement data exceeds the preset value, the tunnel boring machine data corresponding to the planned daily tunneling volume is adjusted.

[0010] Secondly, this application also provides a shield tunneling construction control system based on a digital twin platform, including: The acquisition unit is configured to acquire geological data and tunnel boring machine data of the target shield tunnel section, and construct a twin finite element model of the target shield tunnel section based on the geological data and tunnel boring machine data. The calculation unit is configured to perform tunnel boring machine excavation simulation calculations on the twin finite element model, and after completing the calculation, to split the twin finite element model into multiple sub-models according to the daily planned excavation volume; the width of the sub-model along the tunnel excavation direction is the daily planned excavation volume; The twin element is configured to construct the boundary conditions of each sub-model based on the simulation calculation results of the twin finite element model to form multiple twin sub-models; The control unit is configured to control the process of the tunnel boring machine excavating the target shield tunnel section through multiple twin models.

[0011] In one possible implementation, the twin unit is further configured as follows: Obtain the cell data of the boundary surface of each twin model in the simulation calculation results, and assign the cell data to the boundary of the twin model.

[0012] In one possible implementation, the control unit is further configured as follows: When a daily planned tunneling volume is completed, acquire the shield machine data and geological data corresponding to the current daily planned tunneling volume, and update the current twin model corresponding to the current daily planned tunneling volume; Perform tunneling calculations on the updated current twin model to obtain the boundary conditions of the next round twin model corresponding to the next planned tunneling volume of the updated current daily planned tunneling volume; The secondary twin model is updated using this boundary condition, and tunneling calculations are performed to obtain ground settlement data. The tunneling process for the next day's planned tunneling volume is controlled based on the ground settlement data.

[0013] In one possible implementation, the control unit is further configured as follows: Obtain the cell data at the boundary between the current twin model and the next-round twin model in the tunneling calculation results, and assign the cell data to the corresponding boundary of the next-round twin model.

[0014] In one possible implementation, the control unit is further configured as follows: When the ground settlement data exceeds the preset value, the tunnel boring machine data corresponding to the planned daily tunneling volume is adjusted.

[0015] Compared with the prior art, the present invention has the following advantages and beneficial effects: This invention relates to a shield tunneling construction control method and system based on a digital twin platform. By using segmented calculations, the data from the previous round of construction is accurately fed back into the calculations for the next round, effectively improving the accuracy of model simulation and thus enhancing the prediction of risks in the next round of shield tunneling construction. Attached Figure Description

[0016] The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and form part of this application, do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the method steps in an embodiment of this application; Figure 2 This application provides an embodiment of the schematic diagram. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the accompanying drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0018] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0019] Please refer to the following: Figure 1 This is a flowchart illustrating the shield tunneling construction control method based on a digital twin platform provided in an embodiment of the present invention. Further, the shield tunneling construction control method based on a digital twin platform may specifically include the contents described in steps S1-S4.

[0020] S1: Obtain geological data and tunnel boring machine data of the target shield tunnel section, and construct a twin finite element model of the target shield tunnel section based on the geological data and tunnel boring machine data; S2: Perform tunnel boring machine excavation simulation calculations on the twin finite element model, and after completing the calculations, divide the twin finite element model into multiple sub-models according to the daily planned excavation volume; the width of the sub-model along the tunnel excavation direction is the daily planned excavation volume; S3: Based on the simulation results of the twin finite element model, construct the boundary conditions of each sub-model to form multiple twin sub-models; S4: The process of the tunnel boring machine excavating the target shield tunnel section is controlled by using multiple twin models.

[0021] In implementing this application's embodiments, when constructing the twin platform, it is necessary to first obtain the geological data and tunnel boring machine (TBM) data of the target shield tunnel section. The geological data needs to include strata layering and surrounding rock parameters, while the TBM data needs to include TBM dimensions and jacking pressure. Based on these two types of data, a finite element model can be constructed to characterize the target shield tunnel section. Commercial finite element software can be used to construct the finite element model. For the twin finite element model, given the corresponding shield tunneling configuration, TBM excavation simulation calculations can be performed. Generally, the TBM excavation simulation is performed with one segment width as the advance measurement. Each time, a unit of one segment width is eliminated, performing one round of calculation, and then the segment units within that width are activated for another round of calculation, completing one round of advance measurement calculation.

[0022] In this embodiment, although the twin finite element model can perform tunnel boring machine (TBM) excavation simulation calculations, the geological conditions are complex, and the geological data obtained from previous geological surveys cannot accurately represent the geological conditions. Therefore, the calculation results often differ from the actual situation. To reduce this difference, this embodiment divides the twin finite element model into multiple sub-models along the tunnel axis, with each sub-model having an axial width equal to the planned daily excavation volume. Simultaneously, the calculation result of the corresponding excavation volume in the twin finite element model is used as the boundary condition of the twin sub-model. That is, the calculation result of the twin finite element model when the current planned daily excavation volume is completed is extracted as the current result; the boundary surface data of the twin sub-model corresponding to the next planned daily excavation volume is extracted from the current result and assigned as the boundary condition of that twin sub-model. For example, the boundary surface of the twin sub-model on the tenth day includes the facing face towards the TBM and the back face away from the TBM; at this time, the element parameters of the facing face and back face corresponding to the excavation volume on the ninth day of the twin finite element model are extracted and used as boundary conditions to assign values ​​to the boundary surface of the twin sub-model on the tenth day.

[0023] In the implementation of this application, by re-simulating different twin models, the surface settlement in the planned daily tunneling volume can be calculated, thereby enabling risk management. When the calculated surface settlement exceeds the limit, settlement can be controlled through appropriate means, such as grouting and reducing the jacking force, thereby improving the safety of shield tunnel construction.

[0024] In one possible implementation, the construction of the twin model includes: Obtain the cell data of the boundary surface of each twin model in the simulation calculation results, and assign the cell data to the boundary of the twin model.

[0025] When implementing the embodiments of this application, it should be understood that the simulation calculation results are data generated by the twin finite element model, which corresponds to different tunneling advances. However, the embodiments of this application need to extract the boundary data of the twin sub-model in the simulation calculation corresponding to the planned tunneling volume of the previous day as the boundary conditions of the twin sub-model.

[0026] In one possible implementation, controlling the process of the tunnel boring machine excavating the target shield tunnel section using multiple twin models includes: When a daily planned tunneling volume is completed, acquire the shield machine data and geological data corresponding to the current daily planned tunneling volume, and update the current twin model corresponding to the current daily planned tunneling volume; Perform tunneling calculations on the updated current twin model to obtain the boundary conditions of the next round twin model corresponding to the next planned tunneling volume of the updated current daily planned tunneling volume; The secondary twin model is updated using this boundary condition, and tunneling calculations are performed to obtain ground settlement data. The tunneling process for the next day's planned tunneling volume is controlled based on the ground settlement data.

[0027] In the implementation of this application embodiment, whenever the planned daily tunneling volume is completed, the relevant parameters of the corresponding current twin model need to be adjusted based on the actual shield machine data and geological data of the tunneling completed that day, and a secondary calculation is performed. This results in a more realistic calculation. In the calculation results, since the current twin model and the next-round twin model have an intersecting surface—the facing surface of the next-round twin model and the facing surface of the current twin model—the calculation result of the facing surface of the current twin model is obtained and assigned to the facing surface of the next-round twin model. Then, a secondary calculation is performed on the next-round twin model to obtain the ground settlement value, enabling the prediction of the next day's settlement and thus achieving control. Because the boundary conditions of the facing surface of the next-round twin model are adjusted twice according to the actual situation in each round of calculation, the final calculation is more accurate and more realistic.

[0028] In one possible implementation, the boundary conditions for obtaining the next round twin model corresponding to the updated daily planned tunneling volume include: Obtain the cell data at the boundary between the current twin model and the next-round twin model in the tunneling calculation results, and assign the cell data to the corresponding boundary of the next-round twin model.

[0029] In one possible implementation, controlling the tunneling process based on the ground settlement data for the planned daily tunneling volume includes: When the ground settlement data exceeds the preset value, the tunnel boring machine data corresponding to the planned daily tunneling volume is adjusted.

[0030] For example, taking a shield tunnel section from K1+070.482 to K1+190.453 as an example, the total length is 119.971 meters, rounded to 120 meters. A geological borehole is arranged every 30 meters along the tunnel axis, for a total of 41 boreholes, with a drilling depth of 1.5D below the tunnel bottom, where D is the tunnel diameter of 6.7 meters. The soil layer distribution, unit weight, elastic modulus, Poisson's ratio, internal friction angle, cohesion, and permeability coefficient are obtained at each borehole location. The shield machine data shows a 6.7-meter diameter earth pressure balance shield machine with a maximum thrust of 45000 kN. The working thrust in the calculation is 9800 kN. The shield segment length is 1.5 meters and the thickness is 300 mm. Based on the above data, a twin finite element model is constructed using ABAQUS, see [link to finite element model]. Figure 2 .

[0031] The computational advance of the twin finite element model is 1.5m, calculated in 30 incremental steps, with a planned daily tunneling depth of 8 rings (12m). After performing tunneling simulation on the twin finite element model using the above parameters, data for each element can be obtained. The finite element model is then split into 10 twin sub-models with an axial length of 12m, numbered M01 to M10. Boundary conditions are then assigned to these 10 twin sub-models based on the computational results of the twin finite element model. This involves extracting displacement and strain data from the elements to form a boundary matrix, and then assigning boundary conditions using this matrix. Taking model M5 as an example, the element parameters of the facing and back faces of model M5 at the fourth day of the twin finite element model are extracted to form a parameter matrix, which is then assigned to the facing and back faces of model M5. Simultaneously, corresponding horizontal boundary constraints are set for the facing and back faces of model M5.

[0032] During the calculation, after the fourth day of construction and excavation, the M4 model is updated using the geological data obtained from the fourth day of excavation and the actual thrust of the tunnel boring machine used on that day. Then, the M4 model is calculated. In the calculation results, the element parameters of the interface between the M4 and M5 models can be extracted and assigned to the orientation face of the M5 model. Then, the M5 model is subjected to tunneling simulation to calculate the surface settlement value on the fifth day, and then an early warning is issued.

[0033] Based on the same inventive concept, this application also provides a shield tunneling construction control system based on a digital twin platform, including: The acquisition unit is configured to acquire geological data and tunnel boring machine data of the target shield tunnel section, and construct a twin finite element model of the target shield tunnel section based on the geological data and tunnel boring machine data. The calculation unit is configured to perform tunnel boring machine excavation simulation calculations on the twin finite element model, and after completing the calculation, to split the twin finite element model into multiple sub-models according to the daily planned excavation volume; the width of the sub-model along the tunnel excavation direction is the daily planned excavation volume; The twin element is configured to construct the boundary conditions of each sub-model based on the simulation calculation results of the twin finite element model to form multiple twin sub-models; The control unit is configured to control the process of the tunnel boring machine excavating the target shield tunnel section through multiple twin models.

[0034] In one possible implementation, the twin unit is further configured as follows: Obtain the cell data of the boundary surface of each twin model in the simulation calculation results, and assign the cell data to the boundary of the twin model.

[0035] In one possible implementation, the control unit is further configured as follows: When a daily planned tunneling volume is completed, acquire the shield machine data and geological data corresponding to the current daily planned tunneling volume, and update the current twin model corresponding to the current daily planned tunneling volume; Perform tunneling calculations on the updated current twin model to obtain the boundary conditions of the next round twin model corresponding to the next planned tunneling volume of the updated current daily planned tunneling volume; The secondary twin model is updated using this boundary condition, and tunneling calculations are performed to obtain ground settlement data. The tunneling process for the next day's planned tunneling volume is controlled based on the ground settlement data.

[0036] In one possible implementation, the control unit is further configured as follows: Obtain the cell data at the boundary between the current twin model and the next-round twin model in the tunneling calculation results, and assign the cell data to the corresponding boundary of the next-round twin model.

[0037] In one possible implementation, the control unit is further configured as follows: When the ground settlement data exceeds the preset value, the tunnel boring machine data corresponding to the planned daily tunneling volume is adjusted.

[0038] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0039] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, or may be electrical, mechanical or other forms of connection.

[0040] The units described as separate components may or may not be physically separate. As will be apparent to those skilled in the art, the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0041] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0042] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, 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. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or grid device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0043] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for shield tunneling construction control based on a digital twin platform, characterized in that, include: Obtain geological data and tunnel boring machine data for the target shield tunnel section, and construct a twin finite element model of the target shield tunnel section based on the geological data and tunnel boring machine data. The twin finite element model is used for shield tunneling machine excavation simulation calculations. After the calculations are completed, the twin finite element model is divided into multiple sub-models according to the daily planned excavation volume. The width of each sub-model along the tunnel excavation direction is the daily planned excavation volume. Based on the simulation results of the twin finite element model, the boundary conditions of each sub-model are constructed to form multiple twin sub-models; The process of the tunnel boring machine excavating the target shield tunnel section is controlled by using multiple twin models.

2. The shield tunneling construction control method based on a digital twin platform according to claim 1, characterized in that, The construction of the twin model includes: Obtain the cell data of the boundary surface of each twin model in the simulation calculation results, and assign the cell data to the boundary of the twin model.

3. The shield tunneling construction control method based on a digital twin platform according to claim 1, characterized in that, The process of tunneling the target shield tunnel section using multiple twin models includes: When a daily planned tunneling volume is completed, acquire the shield machine data and geological data corresponding to the current daily planned tunneling volume, and update the current twin model corresponding to the current daily planned tunneling volume; Perform tunneling calculations on the updated current twin model to obtain the boundary conditions of the next round twin model corresponding to the next planned tunneling volume of the updated current daily planned tunneling volume; The secondary twin model is updated using this boundary condition, and tunneling calculations are performed to obtain ground settlement data. The tunneling process for the next day's planned tunneling volume is controlled based on the ground settlement data.

4. The shield tunneling construction control method based on a digital twin platform according to claim 3, characterized in that, The boundary conditions for obtaining the next round twin model corresponding to the updated daily planned tunneling volume include: Obtain the cell data at the boundary between the current twin model and the next-round twin model in the tunneling calculation results, and assign the cell data to the corresponding boundary of the next-round twin model.

5. The shield tunneling construction control method based on a digital twin platform according to claim 3, characterized in that, Controlling the tunneling process for the next day's planned tunneling volume based on the aforementioned ground subsidence data includes: When the ground settlement data exceeds the preset value, the tunnel boring machine data corresponding to the planned daily tunneling volume is adjusted.

6. A shield tunneling construction control system based on a digital twin platform, characterized in that, include: The acquisition unit is configured to acquire geological data and tunnel boring machine data of the target shield tunnel section, and construct a twin finite element model of the target shield tunnel section based on the geological data and tunnel boring machine data. The calculation unit is configured to perform tunnel boring machine excavation simulation calculations on the twin finite element model, and after completing the calculation, to split the twin finite element model into multiple sub-models according to the daily planned excavation volume; the width of the sub-model along the tunnel excavation direction is the daily planned excavation volume; The twin element is configured to construct the boundary conditions of each sub-model based on the simulation calculation results of the twin finite element model to form multiple twin sub-models; The control unit is configured to control the process of the tunnel boring machine excavating the target shield tunnel section through multiple twin models.

7. The shield tunneling construction control system based on a digital twin platform according to claim 6, characterized in that, The twin unit is also configured to: Obtain the cell data of the boundary surface of each twin model in the simulation calculation results, and assign the cell data to the boundary of the twin model.

8. The shield tunneling construction control system based on a digital twin platform according to claim 6, characterized in that, The control unit is also configured to: When a daily planned tunneling volume is completed, acquire the shield machine data and geological data corresponding to the current daily planned tunneling volume, and update the current twin model corresponding to the current daily planned tunneling volume; Perform tunneling calculations on the updated current twin model to obtain the boundary conditions of the next round twin model corresponding to the next planned tunneling volume of the updated current daily planned tunneling volume; The secondary twin model is updated using this boundary condition, and tunneling calculations are performed to obtain ground settlement data. The tunneling process for the next day's planned tunneling volume is controlled based on the ground settlement data.

9. The shield tunneling construction control system based on a digital twin platform according to claim 8, characterized in that, The control unit is also configured to: Obtain the cell data at the boundary between the current twin model and the next-round twin model in the tunneling calculation results, and assign the cell data to the corresponding boundary of the next-round twin model.

10. The shield tunneling construction control method based on a digital twin platform according to claim 8, characterized in that, The control unit is also configured to: When the ground settlement data exceeds the preset value, the tunnel boring machine data corresponding to the planned daily tunneling volume is adjusted.

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