CN113032959A - Method and device for determining safe state of shield tunneling machine tunneling based on construction parameters - Google Patents
Method and device for determining safe state of shield tunneling machine tunneling based on construction parameters Download PDFInfo
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Abstract
The application relates to a method and a device for determining the safe state of shield tunneling machine tunneling based on construction parameters, computer equipment and a storage medium. The method and the device can reduce subjectivity caused by artificial judgment of the risk level and improve accuracy of judgment of the construction state of the shield tunneling machine. The method comprises the following steps: the method comprises the steps of carrying out grade division on shield tunneling states based on tunnel through stratum parameters and shield construction parameters, constructing a membership function corresponding to the grade of the shield tunneling states, calculating the membership of each shield construction parameter by using the membership function, constructing an evaluation matrix, determining shield construction parameter weights corresponding to the shield construction parameters in the shield tunneling state grades according to the evaluation matrix, determining confidence coefficients of the shield construction parameters in the shield tunneling state grades according to the shield construction parameter weights, obtaining a plurality of joint confidence coefficient function values based on evidence theory calculation, and determining the shield tunneling safety state grade according to the joint confidence coefficient function values.
Description
Technical Field
The application relates to the technical field of construction safety, in particular to a method and a device for determining the safety state of shield tunneling machine tunneling based on construction parameters, computer equipment and a storage medium.
Background
Along with the cost of the urbanization process, the development requirement of the urban underground space is continuously improved, and the underground rail transit construction is developed rapidly. The shield tunnel construction method has the advantages of high tunneling speed, high construction concealment, automatic operation and the like, and is gradually the preferred method for urban underground rail traffic construction.
In the process of tunneling a complex stratum, the shield tunneling machine may encounter the defects of mud inrush and water gushing of a tunnel, special geologic body obstacles, abnormal abrasion of a cutter head and a cutter, failure of a shield tail brush and the like, further cause delay of a construction period, even cause serious construction safety accidents such as ground collapse and the like, and cause great construction risks to engineering projects. The current shield tunneling state risk assessment method aiming at the problems comprises the steps of evaluating objective factors such as construction environment, hydrogeology and the like by an expert evaluation method, and the method has subjectivity; in addition, in the prior art, a method based on a multi-state dynamic fault tree and a bayesian network is used for carrying out reliability analysis on a cutter head and a drive of the shield machine, so that the state of a construction system is mastered, and the construction safety risk is effectively reduced.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a computer device and a storage medium for determining a safe state of shield tunneling machine tunneling based on construction parameters.
A method for determining the safe state of shield tunneling machine tunneling based on construction parameters comprises the following steps:
acquiring tunnel through stratum parameters and acquiring shield construction parameters;
grading the shield tunneling state based on the tunnel stratum crossing parameters and the shield construction parameters;
constructing a membership function corresponding to the grade of the shield tunneling state, and calculating the membership of each shield construction parameter under different grades of the shield tunneling state by using the membership function;
constructing a membership degree evaluation matrix according to the membership degree;
determining the corresponding shield construction parameter weights of the shield construction parameters in the shield tunneling state grades according to the membership evaluation matrix;
determining the single confidence coefficient that each shield construction parameter respectively belongs to each shield tunneling state grade according to the shield construction parameter weight;
constructing a joint confidence function aiming at different tunneling state grades based on an evidence theory, using the joint confidence function to combine all shield construction parameters, and calculating to obtain corresponding joint confidence function values under all shield tunneling state grades;
and determining the tunneling safety state grade of the shield tunneling machine according to the combined confidence coefficient function value.
In one embodiment, after the steps of obtaining the parameters of the tunnel penetrating through the stratum and obtaining the parameters of the shield construction, the method further includes:
normalizing the shield construction parameters to obtain normalized shield construction parameters;
the step of grading the shield tunneling state based on the tunnel stratum crossing parameters and the shield construction parameters comprises the following steps:
and grading the shield tunneling state according to the tunnel crossing stratum parameters and the normalized shield construction parameter data.
In one embodiment, the determining the shield tunneling machine excavation safety state level according to the joint confidence coefficient function value includes:
calculating a joint confidence coefficient function value under each shield tunneling state grade to obtain a plurality of joint confidence coefficient function values;
and selecting the grade corresponding to the maximum joint confidence coefficient function value from the plurality of joint confidence coefficient function values as the grade of the shield tunneling safety state.
In one embodiment, the shield construction parameters at least include: one of total thrust, cutter torque, cutter rotation speed, soil pressure, foam injection amount, foam injection pressure, grouting pressure and grouting amount; the divided stages of the shield construction parameters are consistent with the divided stages of the shield tunneling state.
In one embodiment, the membership function is:
wherein x isiThe normalized shield tunneling parameters are the ith normalized shield tunneling parameters; f. ofj(xi) Membership function corresponding to jth rank (j ═ 1,2,3, 4); a is1～a6The boundary values of the membership function of different levels.
In one embodiment, the shield construction parameter weight is:
wherein x isiIs a normalized shield construction parameter, omegajIs xiWeight in the jth level, fj(xi) Is xiAnd the membership value corresponding to the jth grade (j is 1,2,3 and 4).
In one embodiment, the step of determining, according to the weight of the shield construction parameter, a single confidence that each shield construction parameter respectively belongs to each shield tunneling state level includes:
constructing a confidence function based on the shield construction parameters;
and calculating the single confidence coefficient that each shield construction parameter respectively belongs to each shield tunneling state grade according to the confidence coefficient function.
A shield tunneling machine tunneling safety status determining apparatus based on construction parameters, the apparatus comprising:
the parameter acquisition module is used for acquiring tunnel through stratum parameters and acquiring shield construction parameters;
the grading module is used for grading the shield tunneling state based on the tunnel stratum crossing parameters and the shield construction parameters;
the membership calculation module is used for constructing a membership function corresponding to the grade of the shield tunneling state and calculating the membership of each shield construction parameter under different shield tunneling state grades by using the membership function;
the evaluation matrix building module is used for building a membership evaluation matrix according to the membership;
the shield construction parameter weight determining module is used for determining the corresponding shield construction parameter weights of all the shield construction parameters in all the shield tunneling state grades according to the membership degree evaluation matrix;
the single confidence coefficient determining module is used for determining the confidence coefficient that each section of consolidated construction parameters respectively belongs to each shield tunneling state grade according to the shield construction parameter weight;
the combined confidence coefficient function value calculation module is used for constructing a combined confidence coefficient function aiming at different tunneling state grades based on an evidence theory, and calculating to obtain corresponding combined confidence coefficient function values under all the shield tunneling state grades by using the combined confidence coefficient function in combination with all the shield construction parameters;
and the safety state grade determining module is used for determining the tunneling safety state grade of the shield tunneling machine according to the combined confidence coefficient function value.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method for determining the safety state of shield tunneling machine tunneling according to the construction parameters as described above when the processor executes the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method for determining a safety state of shield tunneling according to construction parameters as described above.
The method, the device, the computer equipment and the storage medium for determining the safe state of the shield tunneling machine tunneling based on the construction parameters are used for grading the shield tunneling state based on the tunnel stratum-crossing parameters and the shield construction parameters, constructing a membership function corresponding to the grade of the shield tunneling state, calculating the membership of each shield construction parameter by using the membership function, constructing an evaluation matrix according to the membership, determining the corresponding shield construction parameter weight of each shield construction parameter in each shield tunneling state grade according to the evaluation matrix, determining the confidence coefficient of each shield construction parameter respectively belonging to each shield tunneling state grade according to the shield construction parameter weight, constructing a combined confidence coefficient function based on an evidence theory, combining each shield construction parameter by using the combined confidence coefficient function, and calculating to obtain the corresponding combined confidence coefficient function value under each shield tunneling state grade, and determining the tunneling safety state grade of the shield tunneling machine according to the combined confidence coefficient function value. The method can reduce subjectivity caused by artificial judgment of the risk level, and can quantitatively analyze the tunneling safety state level of the shield tunneling machine, so that the state of the shield tunneling machine construction system can be accurately mastered.
Drawings
FIG. 1 is an application environment diagram of a shield tunneling machine tunneling safety state determination method based on construction parameters in an embodiment;
FIG. 2 is a schematic flow chart of a method for determining the safe state of shield tunneling machine tunneling based on construction parameters in one embodiment;
FIG. 3 is a schematic diagram of a safe state level of a shield segment of the shield tunneling machine in one embodiment;
fig. 4 is a block diagram of a safety state determination device for shield tunneling machine tunneling based on construction parameters in one embodiment;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The method for determining the safe state of the shield tunneling machine based on the construction parameters can be applied to the application environment shown in fig. 1. Wherein the terminal 101 communicates with the server 102 via a network. The terminal 101 may be, but not limited to, monitoring equipment installed on various shield machines or data acquisition devices arranged in a construction environment, such as various geological parameter testers for sludge density, internal friction angle, cohesion and the like, wherein the shield machine is a tunnel boring machine using a shield method; the server 102 may be implemented as a stand-alone server or as a server cluster comprised of multiple servers.
In one embodiment, as shown in fig. 2, a method for determining a safe state of shield tunneling machine tunneling based on construction parameters is provided, which is described by taking the method as an example applied to the server 102 in fig. 1, and includes the following steps:
step S201, acquiring tunnel through stratum parameters and acquiring shield construction parameters;
the tunnel through stratum parameters refer to stratum distribution along the shield tunnel, physical and mechanical parameters of the passed stratum and hydrogeological parameters; wherein, the stratum distribution is the thickness of the upper and lower interfaces of each stratum measured by a line drilling method; the drilling along the line means that the drilling is crosswise arranged at the positions 3-5 m away from the two sides of the tunnel structure, and the hole distance is 30-50 m; the formation physical mechanical parameters refer to geological parameters obtained by performing behavior physics experiments on patterns of all layers sampled along the line drilling, such as cohesive force, internal friction angle, soil layer gravity and the like. The hydrogeological parameters refer to the distribution of a total aquifer and a south permeable stratum of a soil body, the permeability coefficient of the water body, the water storage rate and the like.
The shield construction parameters refer to construction parameters to be controlled by the shield machine in a tunneling state and monitoring parameters generated during tunneling, and can be specifically obtained from construction records (such as a shield construction record table) and monitoring records of the shield tunnel according to the actual shield construction condition.
Optionally, the shield construction parameters may specifically include total thrust, soil pressure, cutter torque, foam injection amount, foam injection pressure, cutter rotation speed, grouting pressure and injection amount, and the like.
Specifically, in the construction of a certain intercity railway, an earth pressure balance shield machine is adopted to construct a tunnel shield interval of the left side facing the sea, wherein the total length of the left line is about 2.15 km. During the construction of the tunnel, the buried depth of the tunnel top is 10.0 m-12.0 m, the inner diameter of the tunnel is 8.0m, and the outer diameter of the tunnel is 8.8 m. In order to improve the tunneling efficiency of the shield tunneling machine and reduce the risk accidents of shield construction, the engineering adopts a method for determining the tunneling state of the earth pressure balance shield tunneling machine based on shield construction parameters, and estimates the shield tunneling safety state of the shield region of the tunnel by taking a ring as a unit.
And (3) drilling holes are arranged at the positions 3-5 m along the two sides of the shield tunnel structure in a crossed manner, so that the parameters of the tunnel passing through the stratum, which is passed by the shield tunnel, are measured.
Firstly, measuring the distribution thickness of the stratum and the geological parameters of each layer of soil. Specifically, the stratum distribution mainly comprises an artificial filling layer (Q4ml), silt of sea-land phase deposition (Q4mc), silty clay, silt and coarse sand stratum; the average layer thicknesses of the corresponding strata were 3.29m, 3.57m, 5.74m, 2.82m, 2.99m, respectively. The tunnel underburden is distributed as fully weathered granite, weakly weathered hard rock in the Yanshan period (gamma 52).
Secondly, the concrete physical and mechanical parameters of the stratum obtained by the soil sample physical and mechanical experiment are respectively as follows: sludge: natural density 1.73g/cm3, internal friction angle (phi) 5.09 degrees, cohesion (C)8.97 kPa; powdery clay: natural density 1.92g/cm3, internal friction angle (phi) 11.73 degrees, cohesion (C)26.34 kPa; powder sand: natural density 1.93g/cm 3; coarse sand: natural density 1.78g/cm3, internal friction angle (phi) 5.9 degrees, cohesion (C)13 kPa; completely weathered granite: natural density 1.92g/cm3, internal friction angle (. PHI.) 5.9 °, cohesion (C)13 kPa.
Again, measuring hydrogeological parameters includes: the underground water buried depth is 0.7-3.5 m, and the underground water has chloride corrosivity. The tunnel body is mainly positioned in the plastic sludge and the plastic clay, and is locally positioned in a sandy soil stratum; the hole bottom is mainly positioned on a silty clay layer, and the local part of the hole bottom is positioned on plastic flowing silt and sandy soil. Therefore, the problems that the surrounding rock at the bottom of the hole body and the hole is weak and easy to deform, the hydrological environment is complex, the water inrush of the foundation pit is easy to occur and the like exist.
Finally, the shield construction parameters are obtained, and the embodiment followsThe shield construction record table collects 8 tunneling construction parameters from tunnel excavation to 300 rings, and specifically comprises total thrust (x)1) Earth pressure (x)2) Cutter torque (x)3) Foam injection amount (x)4) Foam injection pressure (x)5) Rotational speed of cutter (x)6) Grouting pressure (x)7) And the injection amount (x)8)。
And S202, grading the shield tunneling state based on the tunnel stratum crossing parameters and the shield construction parameters.
The shield tunneling state refers to a safe state in the tunneling process of the shield tunneling machine.
Specifically, the shield tunneling state is divided into four stages, namely I, II, III and IV, wherein the smaller the stage number is, the safer the shield tunneling state is, and the higher the stage number is, the more dangerous the shield tunneling state is. Based on the actually surveyed tunnel through stratum parameters and shield construction parameters, the shield construction parameter intervals are classified according to construction experience, and the classification standard is shown in the following table 1:
TABLE 1 influence factor ranking
Optionally, the grading standard of the shield construction parameters may be formulated according to hydrogeology and surrounding environment of the actual project.
And S203, constructing a membership function corresponding to the grade of the shield tunneling state, and calculating the membership of each shield construction parameter under different shield tunneling state grades by using the membership function.
Specifically, the membership function is used for calculating various shield construction parameters x under different grade classifications of shield tunneling statesiA membership value of. Each shield tunneling state grade corresponds to a membership function, so that the number n of the shield tunneling state grades is equal to the number j of the membership functions.
In the formula, xiThe normalized shield tunneling parameters are the ith normalized shield tunneling parameters; f. ofj(xi) Membership function corresponding to jth rank (j ═ 1,2,3, 4); a is1～a6The boundary values of the membership function of different levels.
And step S204, constructing a membership evaluation matrix according to the membership.
Specifically, the membership value of each shield construction parameter is calculated according to the above equations (1) to (4), and in this embodiment, xiThe value range of i is 1-8 for the normalized construction parameters; a is to1～a6The values are respectively 0.1, 0.3, 0.4, 0.6, 0.7 and 0.9. Normalizing the processed shield construction parameter data x by the 20 th ring pipe piece of the shield tunneli＝[0.75,0.68,0.75,0.62,0.17,0.42,0.60,0.70]For example, the calculated membership value is shown in table 2, where table 2 is the membership evaluation matrix in this embodiment.
TABLE 2 normalized values and membership values of shield construction parameters of shield tunnel ring 20
And S205, determining the corresponding shield construction parameter weights of the shield construction parameters in the shield tunneling state grades according to the membership evaluation matrix.
The weight of the shield construction parameters refers to the importance degree of the shield construction parameters under each tunneling state grade j, and is determined according to the following formula:
in the formula, xiIs a normalized shield construction parameter, omegajIs xiWeight in the jth level, fj(xi) Is xiAnd the membership value corresponding to the jth grade (j is 1,2,3 and 4).
And step S206, determining single confidence coefficients of all shield construction parameters respectively belonging to all shield tunneling state grades according to the shield construction parameter weights.
The single confidence coefficient refers to the confidence level that each shield construction parameter is respectively subordinate to each shield tunneling state grade.
Specifically, the single confidence coefficient function is used for determining the confidence level of each shield construction parameter belonging to each tunneling state grade, and the confidence level is calculated according to mi(Aj) And mi(theta) two-part composition. m isi(Aj) Indicates shield construction factor xiConfidence value at jth level, mi(θ) is the uncertainty of the single confidence function. The single confidence function is as follows:
in the formula, ωjIs xiWeight in the jth level, fj(xi) Is xiAnd the membership value corresponding to the jth grade (j is 1,2,3 and 4).
In this embodiment, the shield construction parameter weight ωjDetermined by the formula (5), wherein j represents different grades and the value range is 1-4, and the value is substituted into the shield construction parameter xiAnd the membership value f calculated in the fourth stepj(xi) In formula (5). According to the shield construction parameter x of the 20 th ring segment of the shield tunneliAnd degree of membershipValue fj(xi) The weight value of the shield construction parameter at each tunneling state grade can be obtained as omegaj＝[0.08,0.16,0.70,0.06]。
In this embodiment, the confidence function value of each construction parameter is determined by equation (6), and is substituted into the calculated shield construction parameter weight value ω of the 20 th ring segment of the shield tunneljAnd membership value fj(xi) In equation (5), the confidence function values of the shield construction parameters are shown in the following table:
TABLE 3 confidence function values of shield construction parameters
And step S207, constructing a joint confidence function aiming at different tunneling state grades based on an evidence theory, combining each shield construction parameter by using the joint confidence function, and calculating to obtain a corresponding joint confidence function value under each shield tunneling state grade.
The evidence theory generally refers to a D-S (Dempster-Shafer) evidence fusion theory, which is an important method for uncertainty reasoning, and originates from the 60 th century in 20 th century, and at the time, Dempster, an American mathematician, begins to solve the multi-value mapping problem by using upper and lower limit probabilities, and has published a plurality of papers in 1967, marking the birth of the evidence theory, and Dempster, student Shafer introduces a trust function concept, and makes further development on the evidence theory.
In this embodiment, the evidence refers to various clues for determining the safety state level of the shield machine, such as the above-mentioned various shield construction parameters and physical quantities related thereto, such as the above-mentioned various confidences. When a model for judging the shield tunneling state is established by adopting a plurality of shield construction parameters, a joint confidence coefficient set m (A) is synthesized by a single confidence coefficient function of each shield construction parameter belonging to each shield tunneling state grade according to an evidence theory. The joint confidence set m (a) in this embodiment is determined by the following formula:
wherein A is a target event, such as the tunneling safety state grade of the shield tunneling machine; m (A) is a joint confidence set obtained by formula (7) for the target event A, mi(Aj) And a single confidence coefficient function value representing the evidence i is ^ an evidence fusion operator. Specifically, AjThe evidence i includes a certain set of target events, and in this embodiment, indicates the state level of the influencing factor, for example, if the state level of the influencing factor (total thrust) of the 20 th ring of the shield machine is i, j is 1, and n is the number of evidences.
And step S208, determining the shield tunneling machine excavation safety state grade according to the combined confidence coefficient set m (A).
Specifically, the joint confidence set obtained from equation (7) is m (a) ═ m (a)1),m(A2),m(A3),m(A4) And m (Θ) }, the grade of the tunneling safety state of the shield tunneling machine is the grade corresponding to the maximum joint confidence value in the joint confidence set m (a), which is specifically as follows:
Q＝max[m(Aj)] (8)
wherein m is: (j) And j is a joint confidence coefficient function value corresponding to the grade j, wherein j is 1,2,3 and 4, and Q is the grade of the shield tunneling state. m (Θ) is the uncertainty of the joint confidence function.
In this embodiment, each shield construction parameter is used as a basis for judging the shield tunneling state based on the evidence theory, and the single confidence function is synthesized into a joint confidence function m (according to the formula (7) (7))j) Namely, a formula (7) is used to calculate a combined confidence function value corresponding to each shield tunneling state grade after evidence synthesis for the confidence function values in table 3 (namely, the confidence degrees that the shield construction parameters of the 20 th ring segment belong to each shield tunneling state grade respectively), as shown in the following table:
TABLE 4 Joint confidence function values after evidence synthesis
The final shield machine safety state grade is determined according to the formula (8), and as can be seen from table 4, m (a) is a combined confidence coefficient function value after evidence synthesis3) And if the maximum value is 0.92, judging that the corresponding shield tunneling safety state grade is grade III when the 20 th ring pipe piece is excavated according to the maximum value.
Through the above steps, the safety state level of any one ring of the shield segments of the 300 rings before the shield machine is driven and installed can be calculated, and fig. 3 is a safety state level evaluation result of each ring of the 300 rings. As can be seen from fig. 3, the tunneling safety state grade result of the front 130 rings is shown as grade 3 or 4, and belongs to a section with a higher risk grade; and if the grade of the tunneling safety state is higher than grade 4, the damage of the shield tunnel is represented. Because the shield tunnel of the first 130 rings is in the initial stage of tunneling, the geological condition of the stratum is complex, and the tunneling safety state grade result determined by the method conforms to the actual condition. After 130 rings, the tunneling grade state is mainly grade 2 or grade 3, and belongs to a section with a lower risk grade, and in the section, the shield is mainly positioned in simpler strata such as sandy soil, clay and the like, so that the construction process is smooth.
In the embodiment, the shield driving state is graded based on the tunnel through stratum parameter and the shield construction parameter, a membership function corresponding to the grade of the shield driving state is constructed, the membership of each shield construction parameter is calculated by using the membership function, an evaluation matrix is constructed according to the membership, determining the corresponding shield construction parameter weight of each shield construction parameter in each shield tunneling state grade according to the evaluation matrix, determining the confidence coefficient of each shield construction parameter respectively belonging to each shield tunneling state grade according to the shield construction parameter weight, constructing a joint confidence coefficient function based on an evidence theory, using the joint confidence coefficient function to combine the shield construction parameters, calculating to obtain a corresponding joint confidence coefficient function value under each shield tunneling state grade, and determining the shield tunneling safety state grade according to the joint confidence coefficient function value. The method can greatly reduce subjectivity caused by artificial judgment of the risk level, and can quantitatively analyze the tunneling safety state level of the shield tunneling machine, so that the state of the shield tunneling machine construction system can be accurately mastered.
In an embodiment, after the step S201, the method further includes: normalization processing is carried out on the shield construction parameters to obtain normalized shield construction parameters; the step S202 includes: and grading the shield tunneling state according to the tunnel crossing stratum parameters and the normalized shield construction parameter data.
Specifically, after acquiring tunnel through stratum parameters and shield construction parameters, data preprocessing needs to be performed on the parameters, where the data preprocessing refers to performing normalization processing on collected different unit shield tunneling parameters, performing linear transformation on data corresponding to different parameters through maximum-minimum standardization, and mapping original parameters to an interval [0,1] to obtain normalized shield construction parameters, so that data of different types are subjected to dimensionless operation to facilitate subsequent operation and calculation. And the subsequent steps are also subjected to grade division or data operation based on the normalized shield construction parameters.
According to the embodiment, the original data are normalized, so that the influence of different dimensions on data processing is eliminated, and the subsequent standardization of grade division is facilitated.
In an embodiment, the step S208 includes: calculating a joint confidence coefficient function value under each shield tunneling state grade to obtain a plurality of joint confidence coefficient function values; and selecting the grade corresponding to the maximum joint confidence coefficient function value from the joint confidence coefficient function values as the grade of the shield tunneling safety state.
Specifically, after the joint confidence function values at each level are calculated, the maximum value of all the joint confidence function values is determined by using the formula (8), and the level corresponding to the maximum value is the final level of the shield tunneling safety state.
In the embodiment, the grade corresponding to the maximum value of the joint confidence coefficient function value is taken as the final grade of the shield tunneling machine tunneling safety state, so that the accuracy of grade judgment is improved.
In an embodiment, the shield construction parameters at least include: one of total thrust, cutter torque, cutter rotation speed, soil pressure, foam injection amount, foam injection pressure, grouting pressure and grouting amount; the divided stages of the shield construction parameters are consistent with the divided stages of the shield tunneling state.
Specifically, several parameters having a large influence on the shield tunneling state are preferably selected in the embodiment, wherein the parameters at least include one of total thrust, cutter torque, cutter rotation speed, soil pressure, foam injection amount, foam injection pressure, grouting pressure and grouting amount.
Optionally, the shield construction parameters may be determined according to actual shield construction conditions, and specific data of the shield construction parameters may be obtained from the construction records and monitoring records of the shield tunnel.
In the embodiment, the parameter which has a large influence on the shield tunneling state is preferably selected as the target of analysis and calculation, so that the quantitative analysis of the grade of the shield tunneling state is facilitated.
In an embodiment, the step S206 includes: constructing a confidence function based on the shield construction parameters; and calculating the single confidence coefficient that each shield construction parameter respectively belongs to each shield tunneling state grade according to the confidence coefficient function.
Specifically, the constructed confidence function may be as shown in the above formula (6), and a single confidence that each shield construction parameter is respectively subordinate to each shield tunneling state level is calculated according to the above formula (6).
In the embodiment, the confidence level function is constructed to calculate the confidence level of each shield construction parameter belonging to each tunneling state grade, and data bedding is provided for the subsequent calculation of the joint confidence level and the determination of the final tunneling state grade.
It should be understood that although the various steps in the flow charts of fig. 1-2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-2 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 4, there is provided a safety state determination apparatus 400 for shield tunneling machine tunneling based on construction parameters, including: the system comprises a parameter acquisition module 401, a grade division module 402, a membership calculation module 403, an evaluation matrix construction module 404, a shield construction parameter weight determination module 405, a confidence determination module 406, a joint confidence function value calculation module 407 and a safety state grade determination module 408, wherein:
a parameter obtaining module 401, configured to obtain a parameter of a tunnel penetrating through a stratum, and obtain a shield construction parameter;
a grading module 402, configured to grade a shield driving state based on the tunnel stratum crossing parameter and the shield construction parameter;
a membership degree calculation module 403, configured to construct a membership degree function corresponding to the grade of the shield driving state, and calculate membership degrees of various shield construction parameters under different shield driving state grades by using the membership degree function;
an evaluation matrix construction module 404, configured to construct a membership evaluation matrix according to the membership;
a shield construction parameter weight determination module 405, configured to determine, according to the membership degree evaluation matrix, shield construction parameter weights corresponding to the shield construction parameters in the shield excavation state levels, respectively;
a single confidence determining module 406, configured to determine, according to the weight of the shield construction parameter, a single confidence that each of the consolidation construction parameters belongs to each of the shield tunneling state levels;
a joint confidence function value calculation module 407, configured to construct a joint confidence function for different tunneling state levels based on an evidence theory, and calculate, by using the joint confidence function in combination with the shield construction parameters, a corresponding joint confidence function value at each shield tunneling state level;
and a safety state level determining module 408, configured to determine, according to the joint confidence coefficient function value, a shield tunneling machine excavation safety state level.
In an embodiment, the system further includes a data preprocessing unit, configured to perform normalization processing on the shield construction parameters to obtain normalized shield construction parameters; the aforementioned ranking module 402 is further configured to: and grading the shield tunneling state according to the tunnel crossing stratum parameters and the normalized shield construction parameter data.
In an embodiment, the security status level determining module 408 is further configured to: calculating a joint confidence coefficient function value under each shield tunneling state grade to obtain a plurality of joint confidence coefficient function values; and selecting the grade corresponding to the maximum joint confidence coefficient function value from the plurality of joint confidence coefficient function values as the grade of the shield tunneling safety state.
In one embodiment, the shield construction parameters at least include: one of total thrust, cutter torque, cutter rotation speed, soil pressure, foam injection amount, foam injection pressure, grouting pressure and grouting amount; the divided stages of the shield construction parameters are consistent with the divided stages of the shield tunneling state.
In one embodiment, the membership function is represented by the following equations (1) to (4).
In an embodiment, the weight of the shield construction parameter is:
wherein x isiAfter being normalizedShield construction parameter, omegajIs xiWeight in the jth level, fj(xi) Is xiAnd the membership value corresponding to the jth grade (j is 1,2,3 and 4).
In an embodiment, the single confidence determination module 406 is further configured to: constructing a confidence function based on the shield construction parameters; and calculating the single confidence coefficient that each shield construction parameter respectively belongs to each shield tunneling state grade according to the confidence coefficient function.
For specific limitations of the device for determining the safe state of shield tunneling machine tunneling based on the construction parameters, reference may be made to the above limitations of the method for determining the safe state of shield tunneling machine tunneling based on the construction parameters, which are not described herein again. All or part of the modules in the device for determining the safe state of the shield tunneling machine based on the construction parameters can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing shield construction parameters and tunnel crossing stratum parameter data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to realize a method for determining the safe state of shield tunneling machine tunneling based on construction parameters.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, which includes a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement the steps in the embodiment of the method for determining the safety state of shield tunneling based on construction parameters.
In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, which when executed by a processor implements the steps in the above-described embodiments of the method for determining the safety state of shield tunneling based on construction parameters.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for determining the safe state of shield tunneling machine tunneling based on construction parameters is characterized by comprising the following steps:
acquiring tunnel through stratum parameters and acquiring shield construction parameters;
grading the shield tunneling state based on the tunnel stratum crossing parameters and the shield construction parameters;
constructing a membership function corresponding to the grade of the shield tunneling state, and calculating the membership of each shield construction parameter under different grades of the shield tunneling state by using the membership function;
constructing a membership degree evaluation matrix according to the membership degree;
determining the corresponding shield construction parameter weights of the shield construction parameters in the shield tunneling state grades according to the membership evaluation matrix;
determining the single confidence coefficient that each shield construction parameter respectively belongs to each shield tunneling state grade according to the shield construction parameter weight;
constructing a joint confidence function aiming at different tunneling state grades based on an evidence theory, using the joint confidence function to combine all shield construction parameters, and calculating to obtain corresponding joint confidence function values under all shield tunneling state grades;
and determining the tunneling safety state grade of the shield tunneling machine according to the combined confidence coefficient function value.
2. The method of claim 1, wherein the steps of obtaining tunnel-traversing formation parameters and obtaining shield construction parameters are followed by:
normalizing the shield construction parameters to obtain normalized shield construction parameters;
the step of grading the shield tunneling state based on the tunnel stratum crossing parameters and the shield construction parameters comprises the following steps:
and grading the shield tunneling state according to the tunnel crossing stratum parameters and the normalized shield construction parameter data.
3. The method of claim 2, wherein said determining a shield tunneling safety state level from said joint confidence function value comprises:
calculating a joint confidence coefficient function value under each shield tunneling state grade to obtain a plurality of joint confidence coefficient function values;
and selecting the grade corresponding to the maximum joint confidence coefficient function value from the plurality of joint confidence coefficient function values as the grade of the shield tunneling safety state.
4. The method of claim 1, wherein the shield construction parameters include at least: one of total thrust, cutter torque, cutter rotation speed, soil pressure, foam injection amount, foam injection pressure, grouting pressure and grouting amount; the divided stages of the shield construction parameters are consistent with the divided stages of the shield tunneling state.
5. The method of claim 4, wherein the membership function is:
wherein x isiThe normalized shield tunneling parameters are the ith normalized shield tunneling parameters; f. ofj(xi) Membership function corresponding to jth rank (j ═ 1,2,3, 4); a is1～a6The boundary values of the membership function of different levels.
6. The method of claim 1, wherein the shield construction parameter weights are:
wherein x isiIs a normalized shield construction parameter, omegajIs xiWeight in the jth level, fj(xi) Is xiAnd the membership value corresponding to the jth grade (j is 1,2,3 and 4).
7. The method of claim 1, wherein the step of determining a single confidence level that each of the shield construction parameters respectively belongs to each of the shield tunneling status levels according to the shield construction parameter weights comprises:
constructing a confidence function based on the shield construction parameters;
and calculating the single confidence coefficient that each shield construction parameter respectively belongs to each shield tunneling state grade according to the confidence coefficient function.
8. A shield tunneling machine tunneling safety state determining device based on construction parameters is characterized by comprising:
the parameter acquisition module is used for acquiring tunnel through stratum parameters and acquiring shield construction parameters;
the grading module is used for grading the shield tunneling state based on the tunnel stratum crossing parameters and the shield construction parameters;
the membership calculation module is used for constructing a membership function corresponding to the grade of the shield tunneling state and calculating the membership of each shield construction parameter under different shield tunneling state grades by using the membership function;
the evaluation matrix building module is used for building a membership evaluation matrix according to the membership;
the shield construction parameter weight determining module is used for determining the corresponding shield construction parameter weights of all the shield construction parameters in all the shield tunneling state grades according to the membership degree evaluation matrix;
the single confidence coefficient determining module is used for determining the single confidence coefficient that each section of consolidated construction parameters respectively belong to each shield tunneling state grade according to the shield construction parameter weight;
the combined confidence coefficient function value calculation module is used for constructing a combined confidence coefficient function aiming at different tunneling state grades based on an evidence theory, and calculating to obtain corresponding combined confidence coefficient function values under all the shield tunneling state grades by using the combined confidence coefficient function in combination with all the shield construction parameters;
and the safety state grade determining module is used for determining the tunneling safety state grade of the shield tunneling machine according to the combined confidence coefficient function value.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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