Fuzzy comprehensive evaluation method for TBM tunneling suitability in exploration design stage

The multi-factor TBM boring suitability evaluation model is constructed through fuzzy mathematical methods, which solves the problem of single evaluation indicators in the existing technology, and achieves a more accurate TBM boring suitability evaluation, which improves the guidance effect of engineering construction.

CN120494545APending Publication Date: 2025-08-15CHINA RAILWAY ERYUAN ENGINEERING GROUP CO LTD
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Patent Information

Application Number
CN202510212430.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-25
Publication Date
2025-08-15

AI Technical Summary

Technical Problem

In the prior art, there is a lack of scientific and reliable method for the evaluation of TBM boring suitability, and the evaluation index is single and influencing factors are not fully considered, resulting in low accuracy of evaluation results and poor construction results of guidance projects.

Method used

The fuzzy mathematical method is used to construct the TBM excavation suitability evaluation model, comprehensively considering the TBM equipment parameters, geological condition parameters, poor geological parameters and construction organization parameters, and by constructing an index system, judgment matrix and membership function, membership degree and consistency ratio are calculated, and diverse evaluation indicators are provided to improve accuracy.

Benefits of technology

It improves the accuracy and guidance of TBM excavation suitability evaluation, is suitable for decision-making in the survey and design stage, and improves the efficiency and safety of engineering construction.

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Abstract

The invention relates to the technical field of tunnel boring machine construction, in particular to a TBM tunneling suitability fuzzy comprehensive evaluation method in an exploration design stage, and the method comprises the steps: obtaining influence factors used for evaluating TBM tunneling suitability D; constructing an index system for evaluating the tunneling suitability of the TBM, and obtaining a judgment matrix of each parameter; calculating a feature vector corresponding to the maximum feature value of each parameter judgment matrix and the maximum feature value of the judgment matrix; the consistency proportion of the judgment matrix is calculated, consistency judgment is conducted, and the membership degree of each parameter and the sequence of the membership degree of each parameter are obtained; calculating to obtain the membership degree of the TBM tunneling suitability; and a suitable tunneling threshold value d is preset, D is compared with d, and evaluation on the tunneling suitability of the TBM in the target area is completed. The system adopts the TBM tunneling suitability evaluation method. The device can execute the TBM tunneling suitability evaluation method. By means of the method, the accuracy of the TBM tunneling evaluation result is improved, and the guiding effect on engineering construction is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of tunnel boring machine construction, and in particular to a fuzzy comprehensive evaluation method for TBM excavation suitability in the survey and design stage. Background Art

[0002] With the development of infrastructure construction in my country, TBMs have been increasingly used in engineering fields such as hydraulic tunnels, railway tunnels, highway tunnels, and urban rail transit tunnels in recent years, and have achieved good construction results. However, due to the different geological conditions of different tunnel construction projects, once the design and configuration of the TBM are not suitable for the geological characteristics of the tunnel project, many construction problems will arise, such as reduced excavation efficiency, increased construction costs, increased construction risks, and even serious accidents. Therefore, it is particularly important to evaluate the suitability of TBM excavation during the survey and design stage.

[0003] Currently, there is a lack of scientific and reliable methods for evaluating the suitability of TBM excavation. Evaluation schemes often use data from the excavated sections within the same target section to predict the unexcavated sections, which is not suitable for decision-making in the survey and design stages. In addition, most evaluation indicators are single-aspect indicators, which are too simple and do not adequately consider the factors affecting TBM excavation. This results in low accuracy of evaluation results and poor guidance for engineering construction. Summary of the Invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art in evaluating the suitability of TBM tunneling, in which most evaluation indicators are single-aspect indicators, the evaluation is too simple, and the factors affecting TBM tunneling are not adequately considered, resulting in low accuracy of the TBM tunneling suitability evaluation results and poor guidance for engineering construction. A fuzzy comprehensive evaluation method for TBM tunneling suitability in the survey and design stage is provided.

[0005] In a first aspect, the present invention provides a TBM excavation suitability evaluation method, comprising the following steps:

[0006] S1: Obtaining influencing factors for evaluating TBM excavation suitability D based on data of the target area, the influencing factors including: TBM equipment parameters P1, geological condition parameters P2, adverse geological parameters P3, and construction organization parameters P4;

[0007] S2: constructing an index system for evaluating TBM excavation suitability based on the influencing factors, constructing a membership function for each parameter in the influencing factors and quantifying each parameter to obtain a judgment matrix for each parameter;

[0008] S3: Calculate the eigenvector corresponding to the maximum eigenvalue of each parameter judgment matrix and the maximum eigenvalue of the judgment matrix;

[0009] S4: Calculate the consistency ratio of the judgment matrix according to the maximum eigenvalue of each parameter judgment matrix, perform consistency judgment on the judgment matrix, and obtain the membership degree of each parameter and the ranking of the membership degree of each parameter;

[0010] S5: The membership degree of TBM excavation suitability is calculated through the judgment matrix of each parameter and the membership degree of each parameter;

[0011] S6: Preset a suitable tunneling threshold d, calculate the TBM tunneling suitability D based on the membership degree of TBM tunneling suitability, compare the TBM tunneling suitability D with the suitable tunneling threshold d, and complete the evaluation of the TBM tunneling suitability of the target area.

[0012] The TBM equipment parameter P1 is obtained based on engineering experience, and the geological condition parameter P2, adverse geological parameter P3 and construction organization parameter P4 are obtained based on field data and technical manuals.

[0013] Through this method, the present invention uses TBM equipment parameters, geological condition parameters, adverse geological parameters and construction organization parameters to evaluate the suitability of TBM excavation, replacing the method in the prior art of using data from the excavated section within the same target section to predict the unexcavated section. This makes the method of the present invention suitable for decision-making in the survey and design stage, and the evaluation indicators are diverse, fully considering the influencing factors of TBM excavation, improving the accuracy of the evaluation results, and providing better guidance for engineering construction.

[0014] P1 includes: excavation speed u1, total thrust u2, cutterhead speed u3 and cutterhead torque u4;

[0015] P2 includes: rock uniaxial compressive strength u5, rock mass integrity coefficient u6, quartz content u7, ground stress level u8, maximum burial depth u9 and rock abrasion index u10;

[0016] P3 includes: fracture zone width u11, formation composite ratio u12, water inflow u13, water permeability u14, ground temperature u15 and harmful gas outflow u16;

[0017] P4 includes: construction technology level u17 and construction management u18.

[0018] The indicator system includes the target layer, the criterion layer and the indicator layer.

[0019] The target layer includes: TBM excavation suitability D;

[0020] The criteria layers include: P1-P4;

[0021] The indicator layer includes: u1-u18.

[0022] The membership function is constructed using fuzzy mathematics methods. The distribution types of membership functions mainly include: single-value distribution type, triangular and semi-triangular distribution type, rectangular and semi-rectangular distribution type, trapezoidal and semi-trapezoidal distribution type, normal distribution type, etc. The membership function can be selected according to different variable types.

[0023] Preferably, a triangular distribution type membership function is used to quantify the parameters of the indicator layer to obtain a judgment matrix of the parameters of the indicator layer. The triangular distribution type membership function is:

[0024]

[0025] When U(x)=0, the parameter is unsuitable; when 0<U(x)≤α, the parameter is basically suitable; when α<U(x)≤β, the parameter is relatively suitable; when U(x)>β, the parameter is strongly suitable;

[0026] The judgment matrix is:

[0027] The eigenvector w corresponding to the maximum eigenvalue of the judgment matrix i The calculation formula is:

[0028]

[0029] The calculation formula of the maximum eigenvalue λmax of the judgment matrix is:

[0030] in,

[0031] The S4 includes:

[0032] S41: Calculate the consistency index CI,

[0033]

[0034] Where N is a constant;

[0035] S42: Calculate the average random consistency index RI,

[0036]

[0037] Among them, λ′max is the average value of the maximum characteristic roots of several sample judgment matrices constructed by random methods;

[0038] S43: Calculate the consistency ratio CR of the judgment matrix,

[0039]

[0040] S44: Preset the acceptable threshold value as γ. When CR < γ, the value of the consistency ratio CR is acceptable. When CR ≥ γ, the value of the consistency ratio CR is unacceptable. The judgment matrix is modified until CR < γ.

[0041] S45: Calculate the membership degree B of each parameter i And the ranking of each parameter's membership.

[0042] The calculation formula for the membership degree of TBM excavation suitability is:

[0043] The calculation formula for TBM excavation suitability D is:

[0044]

[0045] Among them, x i (i=1, 2, 3, 4), x1 is unsuitable when U(x)=0, x2 is basically suitable when 0<U(x)≤α, x3 is relatively suitable when α<U(x)≤β, and x4 is strongly suitable when U(x)>β.

[0046] x i Assign values, where x1=0.25, x2=0.5, x3=0.75, and x4=1.

[0047] The suitable excavation threshold d includes: a completely suitable excavation threshold d1, a strongly suitable excavation threshold d2, a relatively suitable excavation threshold d3 and a basically suitable excavation threshold d4;

[0048] When D≥d1, it is judged to be completely suitable for TBM excavation.

[0049] When d1>D≥d2, it is judged to be highly suitable for TBM excavation.

[0050] When d2>D≥d3, it is judged to be more suitable for TBM excavation.

[0051] When d3>D≥d4, it is judged to be basically suitable for TBM excavation.

[0052] When D<d4, it is judged to be unsuitable for TBM excavation.

[0053] In a second aspect, the present invention provides a TBM excavation suitability evaluation system, which adopts the above-mentioned TBM excavation suitability evaluation method, including a TBM excavation suitability index system construction module, a judgment matrix calculation module, a membership calculation module, a membership calculation module and a TBM excavation suitability evaluation module.

[0054] The TBM excavation suitability index system construction module is used to construct an index system for evaluating TBM excavation suitability, and at the same time, construct a membership function of each parameter in the influencing factors and quantify each parameter to obtain a judgment matrix for each parameter;

[0055] The judgment matrix calculation module is used to calculate the maximum eigenvalue of each parameter judgment matrix and the eigenvector corresponding to the maximum eigenvalue of the judgment matrix;

[0056] The membership calculation module is used to calculate the consistency ratio of the judgment matrix, perform consistency judgment on the judgment matrix, and obtain the membership of each parameter and the ranking of the membership of each parameter;

[0057] The membership calculation module is used to calculate the membership of TBM excavation suitability;

[0058] The TBM excavation suitability evaluation module is used to calculate the TBM excavation suitability D and evaluate the TBM excavation suitability of the target area.

[0059] This setting improves the convenience of using the TBM excavation suitability evaluation method.

[0060] In a third aspect, the present invention provides a TBM excavation suitability evaluation device, comprising at least one processor and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the aforementioned TBM excavation suitability evaluation method.

[0061] This setting improves the convenience of using the TBM excavation suitability evaluation method.

[0062] Compared with the prior art, the present invention has the following beneficial effects:

[0063] 1. The present invention provides a method for evaluating TBM excavation suitability. This method uses TBM equipment parameters, geological condition parameters, adverse geological parameters, and construction organization parameters to evaluate TBM excavation suitability. This method replaces the prior art method of using data from excavated sections within the same target section to predict the suitability of unexcavated sections. This makes the method suitable for decision-making in the survey and design stages. Furthermore, the method incorporates diverse evaluation indicators, fully considers factors influencing TBM excavation, improves the accuracy of evaluation results, and provides effective guidance for engineering construction.

[0064] 2. The present invention provides a method for evaluating the suitability of TBM excavation. This configuration improves the convenience of using the method.

[0065] 3. The present invention provides a TBM excavation suitability evaluation device, through which the convenience of using the TBM excavation suitability evaluation method is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Picture 1 This is a flow chart of the fuzzy comprehensive evaluation method for TBM excavation suitability in the survey and design stage of Example 1 provided by the present invention. DETAILED DESCRIPTION

[0067] The present invention will be further described in detail below with reference to specific embodiments. However, this should not be construed as limiting the scope of the present invention to the following embodiments, as all technologies implemented based on the present invention fall within the scope of the present invention.

[0068] Unless otherwise specified, in the description of the specific embodiments of the present invention, the terms indicating the orientation or positional relationship, such as "upper", "lower", "left", "right", "center", "inside", and "outside", are based on the expressions of the orientation or positional relationship shown in the accompanying drawings, or are the orientation or positional relationship in which the invented product / device / apparatus is placed when it is conventionally used. These terms of orientation or positional relationship are merely for the purpose of facilitating the description of the scheme of the present invention or simplifying the description of the specific embodiments to facilitate the rapid understanding of the scheme by technicians, and do not indicate or imply that a specific device / component / element must have a specific orientation, or be constructed and operated in a specific positional relationship, and therefore should not be understood as limiting the present invention.

[0069] In addition, if the terms "horizontal", "vertical", "overhanging", "parallel" and the like appear, it does not mean that the corresponding devices / components / elements are required to be absolutely horizontal or vertical or overhanging or parallel, but may be slightly tilted or have deviations. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but may be slightly tilted. Alternatively, it can be simply understood that the corresponding devices / components / elements are set in directions such as "horizontal", "vertical", "overhanging", and "parallel", and can have an error / deviation of ±10% relative to the corresponding direction setting, more preferably an error / deviation within ±8%, more preferably an error / deviation within ±6%, more preferably an error / deviation within ±5%, and more preferably an error / deviation within ±4%. As long as the corresponding device / component / element is within the error / deviation range, it can still achieve its role in the solution of the present invention.

[0070] In addition, the expressions “first”, “second”, “third”, etc. in the terms are merely used to distinguish the description of the same or similar components, and should not be understood as emphasizing or implying the relative importance of specific components.

[0071] In addition, in the description of the embodiments of the present invention, "several," "plurality," and "a number" represent at least two. It can also be any number such as two, three, four, five, six, seven, eight, nine, or even more than nine.

[0072] Furthermore, in the description of the technical solution of the present invention, unless otherwise expressly specified, defined, or limited, the terms "disposed," "installed," "connected," "connected," "provided with," "laid," and "arranged" should be understood broadly. For example, they may refer to fixed connections, detachable connections, or integral connections. They may be welded, riveted, bolted, threaded, or other commonly used connection methods in the art. Such connections may be mechanical, electrical, or communicative; they may be direct, indirect via an intermediate medium, or internally connected between two components.

[0073] Example 1

[0074] like Picture 1 As shown, this embodiment provides a method for evaluating TBM excavation suitability, including the following steps:

[0075] S1: Obtaining influencing factors for evaluating TBM excavation suitability D based on data of the target area, the influencing factors including: TBM equipment parameters P1, geological condition parameters P2, adverse geological parameters P3, and construction organization parameters P4;

[0076] S2: constructing an index system for evaluating TBM excavation suitability based on the influencing factors, constructing a membership function for each parameter in the influencing factors and quantifying each parameter to obtain a judgment matrix for each parameter;

[0077] S3: Calculate the eigenvector corresponding to the maximum eigenvalue of each parameter judgment matrix and the maximum eigenvalue of the judgment matrix;

[0078] S4: Calculate the consistency ratio of the judgment matrix according to the maximum eigenvalue of each parameter judgment matrix, perform consistency judgment on the judgment matrix, and obtain the membership degree of each parameter and the ranking of the membership degree of each parameter;

[0079] S5: The membership degree of TBM excavation suitability is calculated through the judgment matrix of each parameter and the membership degree of each parameter;

[0080] S6: Preset a suitable tunneling threshold d, calculate the TBM tunneling suitability D based on the membership degree of TBM tunneling suitability, compare the TBM tunneling suitability D with the suitable tunneling threshold d, and complete the evaluation of the TBM tunneling suitability of the target area.

[0081] The TBM equipment parameter P1 is obtained based on engineering experience, and the geological condition parameter P2, adverse geological parameter P3 and construction organization parameter P4 are obtained based on field data and technical manuals.

[0082] Through this method, the present invention uses TBM equipment parameters, geological condition parameters, adverse geological parameters and construction organization parameters to evaluate the suitability of TBM excavation, replacing the method in the prior art of using data from the excavated section within the same target section to predict the unexcavated section. This makes the method of the present invention suitable for decision-making in the survey and design stage, and the evaluation indicators are diverse, fully considering the influencing factors of TBM excavation, improving the accuracy of the evaluation results, and providing better guidance for engineering construction.

[0083] P1 includes: excavation speed u1, total thrust u2, cutterhead speed u3 and cutterhead torque u4;

[0084] P2 includes: rock uniaxial compressive strength u5, rock mass integrity coefficient u6, quartz content u7, ground stress level u8, maximum burial depth u9 and rock abrasion index u10;

[0085] P3 includes: fracture zone width u11, formation composite ratio u12, water inflow u13, water permeability u14, ground temperature u15 and harmful gas outflow u16;

[0086] P4 includes: construction technology level u17 and construction management u18.

[0087] The index system includes a target layer, a criterion layer and an index layer, wherein the target layer includes: TBM excavation suitability D;

[0088] The criteria layers include: P1-P4;

[0089] The indicator layer includes: u1-u18.

[0090] The index system for TBM excavation suitability in a target area is shown in Table 1:

[0091] Table 1

[0092]

[0093] The membership function is constructed using fuzzy mathematics methods. The distribution types of membership functions mainly include: single-value distribution type, triangular and semi-triangular distribution type, rectangular and semi-rectangular distribution type, trapezoidal and semi-trapezoidal distribution type, normal distribution type, etc. The membership function can be selected according to different variable types.

[0094] Preferably, a triangular distribution type membership function is used to quantify the parameters of the indicator layer to obtain a judgment matrix of the parameters of the indicator layer. The triangular distribution type membership function is:

[0095]

[0096] When U(x)=0, the parameter is unsuitable; when 0<U(x)≤α, the parameter is basically suitable; when α<U(x)≤β, the parameter is relatively suitable; when U(x)>β, the parameter is strongly suitable;

[0097] The judgment matrix is:

[0098] Substitute the specific values of each parameter into the judgment matrix of each parameter to obtain:

[0099]

[0100]

[0101] The eigenvector w corresponding to the maximum eigenvalue of the judgment matrix i The calculation formula is:

[0102]

[0103] The calculation formula of the maximum eigenvalue λmax of the judgment matrix is: in, The S4 includes:

[0104] S41: Calculate the consistency index CI,

[0105]

[0106] Where N is a constant;

[0107] S42: Calculate the average random consistency index RI,

[0108]

[0109] Among them, λ′max is the average value of the maximum characteristic roots of several sample judgment matrices constructed by random methods;

[0110] The calculation method for λ′max is to construct 500 sample judgment matrices using a random method, randomly select numbers from 1 to 9 and their reciprocals to construct the reciprocal matrix order, and calculate the average value λ′max of the maximum characteristic root of the 500 sample judgment matrices. The calculation results of the average random consistency index RI are shown in Table 2:

[0111] Table 2

[0112] N 2 3 4 5 6 7 8 RI 0 0.5149 0.8931 1.1185 1.2494 1.3450 1.4200 N 9 10 11 12 13 14 15 RI 1.4616 1.4874 1.5156 1.5405 1.5583 1.5779 1.5894

[0113] S43: Calculate the consistency ratio CR of the judgment matrix,

[0114]

[0115] S44: The acceptance threshold is preset to γ. When CR is less than 0.1, the value of the consistency ratio CR is acceptable. When CR is greater than or equal to 0.1, the value of the consistency ratio CR is unacceptable. The judgment matrix is modified until CR is less than 0.1.

[0116] S45: Calculate the membership degree B of each parameter i And the ranking of each parameter's membership.

[0117] The membership degree B of the TBM excavation suitability i The calculation formula is:

[0118] Among them, B i (i=1, 2, 3, 4)

[0119] The membership degree of each parameter is calculated, as shown in Table 3:

[0120] Table 3

[0121]

[0122]

[0123] The fuzzy comprehensive evaluation formula is used to conduct a fuzzy evaluation of the suitability of TBM excavation. The calculation results are shown below:

[0124]

[0125] The calculation results {0.068, 0.222, 0.256, 0.454} represent the membership of TBM construction corresponding to the evaluation criteria of unsuitability, basic suitability, relatively suitability, and strong suitability, respectively. The maximum membership value is 0.454. According to the maximum membership principle, the fuzzy evaluation of the suitability of TBM excavation is "strong suitability".

[0126] The calculation formula for TBM excavation suitability D is:

[0127]

[0128] Among them, x i (i=1, 2, 3, 4), x1 is unsuitable when U(x)=0, x2 is basically suitable when 0<U(x)≤α, x3 is relatively suitable when α<U(x)≤β, and x4 is strongly suitable when U(x)>β.

[0129] x i Assign values, where x1=0.25, x2=0.5, x3=0.75, and x4=1.

[0130] B1=0.068, B2=0.222, B3=0.256, B4=0.454, and the suitability D of the TBM excavation suitability evaluation in the target area is calculated to be 0.774.

[0131] The threshold value d1 for being completely suitable for excavation is 0.9, the threshold value d2 for being strongly suitable for excavation is 0.7, the threshold value d3 for being relatively suitable for excavation is 0.5, and the threshold value d4 for being basically suitable for excavation is 0.3;

[0132] When D≥0.9, it is judged to be completely suitable for TBM excavation.

[0133] When 0.9>D≥0.7, it is judged to be highly suitable for TBM excavation.

[0134] When 0.7>D≥0.5, it is judged to be more suitable for TBM excavation.

[0135] When 0.5>D≥0.3, it is judged to be basically suitable for TBM excavation.

[0136] When D < 0.3, it is judged to be unsuitable for TBM excavation.

[0137] After comparison, it was determined that the suitability of the TBM excavation suitability evaluation in the target area was highly suitable for TBM excavation.

[0138] Example 2

[0139] This embodiment provides a TBM excavation suitability evaluation system, which adopts the above-mentioned TBM excavation suitability evaluation method, including a TBM excavation suitability index system construction module, a judgment matrix calculation module, a membership calculation module, a membership calculation module and a TBM excavation suitability evaluation module.

[0140] The TBM excavation suitability index system construction module is used to construct an index system for evaluating TBM excavation suitability, and at the same time, construct a membership function of each parameter in the influencing factors and quantify each parameter to obtain a judgment matrix for each parameter;

[0141] The judgment matrix calculation module is used to calculate the maximum eigenvalue of each parameter judgment matrix and the eigenvector corresponding to the maximum eigenvalue of the judgment matrix;

[0142] The membership calculation module is used to calculate the consistency ratio of the judgment matrix, perform consistency judgment on the judgment matrix, and obtain the membership of each parameter and the ranking of the membership of each parameter;

[0143] The membership calculation module is used to calculate the membership of TBM excavation suitability;

[0144] The TBM excavation suitability evaluation module is used to calculate the TBM excavation suitability D and evaluate the TBM excavation suitability of the target area.

[0145] This setting improves the convenience of using the TBM excavation suitability evaluation method.

[0146] Example 3

[0147] This embodiment provides a TBM excavation suitability evaluation device, including at least one processor and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the TBM excavation suitability evaluation method described above.

[0148] This setting improves the convenience of using the TBM excavation suitability evaluation method.

[0149] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for evaluating TBM excavation suitability, characterized in that: The following steps are involved: S1: Based on the data of the target area, the suitability of TBM excavation is evaluated. D The influencing factors include: TBM equipment parameters P1, geological condition parameters P2, unfavorable geological parameters P3 and construction organization parameters P4; S2: constructing an index system for evaluating TBM excavation suitability based on the influencing factors, constructing a membership function for each parameter in the influencing factors and quantifying each parameter to obtain a judgment matrix for each parameter; S3: Calculate the eigenvector corresponding to the maximum eigenvalue of each parameter judgment matrix and the maximum eigenvalue of the judgment matrix; S4: Calculate the consistency ratio of the judgment matrix according to the maximum eigenvalue of each parameter judgment matrix, perform consistency judgment on the judgment matrix, and obtain the membership degree of each parameter and the ranking of the membership degree of each parameter; S5: The membership degree of TBM excavation suitability is calculated through the judgment matrix of each parameter and the membership degree of each parameter; S6: Preset the suitable excavation threshold d, and calculate the TBM excavation suitability according to the membership degree of TBM excavation suitability D , TBM excavation suitability D Compare with the suitable excavation threshold d to complete the evaluation of TBM excavation suitability in the target area.

2. The method for evaluating TBM excavation suitability according to claim 1, characterized in that: P1 includes: Excavation speed u1, total thrust u2, cutterhead speed u3 and cutterhead torque u4; P2 includes: rock uniaxial compressive strength u5, rock mass integrity coefficient u6, quartz content u7, ground stress level u8, maximum burial depth u9 and rock abrasion index u10; P3 includes: fracture zone width u11, formation composite ratio u12, water inflow u13, water permeability u14, ground temperature u15 and harmful gas outflow u16; P4 includes: construction technology level u17 and construction management u18.

3. The method for evaluating TBM excavation suitability according to claim 2, wherein: The indicator system includes the target layer, the criterion layer and the indicator layer. The target layers include: TBM excavation suitability D ; The criteria layers include: P1-P4; The indicator layer includes: u1-u18.

4. The method for evaluating TBM excavation suitability according to claim 3, wherein: The triangular distribution type membership function is used to quantify the parameters of the indicator layer to obtain the judgment matrix of the parameters of the indicator layer. The triangular distribution type membership function is: ; when U ( x )=0, the parameter is inappropriate. U ( x ) ≤α When α < U ( x ) ≤β This parameter is more appropriate when U ( x )> β When , the parameter is strongly suitable; The judgment matrix is: ; 5. The method for evaluating TBM excavation suitability according to claim 4, characterized in that: The eigenvector corresponding to the maximum eigenvalue of the judgment matrix w i The calculation formula is: ; The maximum eigenvalue of the judgment matrix λ The calculation formula for max is: in, .

6. The method for evaluating TBM excavation suitability according to claim 5, characterized in that: The S4 includes: S41: Calculate consistency index CI , ; in, N is a constant; S42: Calculate the average random consistency index RI , ; in, λ′ max is the average value of the maximum characteristic roots of several judgment matrices constructed by random methods; S43: Calculate the consistency ratio of the judgment matrix CR, ; S44: The preset acceptance threshold is γ. CR When γ<γ, the consistency ratio CR The value of is acceptable when CR When ≥γ, the consistency ratio CR The value of is unacceptable, and the judgment matrix is modified until CR <γ; S45: Calculate the membership of each parameter Bi And the ranking of each parameter's membership.

7. The method for evaluating TBM excavation suitability according to claim 6, characterized in that: TBM excavation suitability D The calculation formula is: ; in, x i ( i =1, 2, 3, 4), x 1 for U ( x )=0 corresponds to the unsuitable, x 2 is 0< U ( x ) ≤α The basic appropriateness of the time x 3 for α < U ( x ) ≤β The corresponding time is more appropriate, x 4 for U ( x )> β The corresponding strong suitability. The suitable excavation threshold d includes: a completely suitable excavation threshold d1, a strongly suitable excavation threshold d2, a relatively suitable excavation threshold d3, and a basically suitable excavation threshold d4; when D When ≥d1, it is judged to be completely suitable for TBM excavation. When d1> D When ≥d2, it is judged to be highly suitable for TBM excavation. When d2> D When ≥d3, it is judged to be more suitable for TBM excavation. When d3> D When ≥d4, it is judged to be basically suitable for TBM excavation. when D When <d4, it is judged to be unsuitable for TBM excavation.

8. A TBM excavation suitability evaluation system, characterized by: A TBM excavation suitability evaluation method according to any one of claims 1 to 7 is used, comprising a TBM excavation suitability index system construction module, a judgment matrix calculation module, a membership calculation module, a membership calculation module and a TBM excavation suitability evaluation module. The TBM excavation suitability index system construction module is used to construct an index system for evaluating TBM excavation suitability, and at the same time, construct a membership function of each parameter in the influencing factors and quantify each parameter to obtain a judgment matrix for each parameter; The judgment matrix calculation module is used to calculate the eigenvector corresponding to the maximum eigenvalue of each parameter judgment matrix and the maximum eigenvalue of the judgment matrix; The membership calculation module is used to calculate the consistency ratio of the judgment matrix, perform consistency judgment on the judgment matrix, and obtain the membership of each parameter and the ranking of the membership of each parameter; The membership calculation module is used to calculate the membership of TBM excavation suitability; The TBM excavation suitability evaluation module is used to calculate the TBM excavation suitability D And evaluate the suitability of TBM excavation in the target area.

9. A TBM excavation suitability evaluation device, characterized in that: The method comprises at least one processor and a memory in communication with the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so as to enable the at least one processor to execute a method for evaluating TBM excavation suitability as described in any one of claims 1 to 7.