Tunnel disease cause analysis method

Abstract

The invention provides a tunnel disease cause analysis method. The method comprises the following steps: determining a target disease to be treated by a target tunnel; based on the target disease, analyzing and determining all causes of the target disease of the target tunnel; constructing a tunnel disease cause element set based on all causes of the target disease; based on the tunnel disease cause element set, constructing a tunnel disease cause adjacent matrix, and determining a binary relationship between every two cause elements of the target disease by the adjacent matrix; calculating a tunnel disease cause reachable matrix based on the tunnel disease cause adjacent matrix; based on the tunnel disease cause reachable matrix, calculating driving force and dependency of tunnel disease cause elements; drawing a tunnel disease cause factor dependency-driving force scatter diagram; the characteristics of tunnel disease cause elements are ascertained, and the fundamental cause of the tunnel disease is excavated. According to the analysis method provided by the invention, numerous causes of tunnel diseases are ascertained, driving force and dependency of various causes are analyzed, and fundamental causes are excavated from the causes to serve source treatment of the tunnel diseases.

Description

Technical Field

[0001] The present invention relates to the technical field of tunnel operation and maintenance, and in particular to a method for analyzing the causes of tunnel diseases. Background Art

[0002] During the operation of the tunnel, due to the influence of many factors such as changes in the hydrogeological environment, the impact of nearby construction activities, and the deterioration of the structure itself, various tunnel diseases are inevitable, such as leakage, cracks, misalignment, block drop, convergence deformation, etc. If these diseases are not treated in time, they will seriously threaten the safety of the tunnel structure itself and the safety of operation. In the process of tunnel disease treatment, it is necessary to combine the actual engineering characteristics and operating environment of the operating tunnel, analyze a series of causes of tunnel diseases, and dig out the fundamental causes of tunnel diseases. On this basis, treatment from the root of the disease can achieve source treatment of disease treatment and ensure the long-term stability of the tunnel disease treatment effect.

[0003] Among the currently available technologies, most methods are unable to dig out the root causes of tunnel diseases from the many possible causes of the diseases, and are confused by the "apparent causes" of tunnel diseases, resulting in "treating the symptoms rather than the root cause" when treating tunnel diseases, and are unable to ensure the long-term stability of the tunnel disease treatment effect. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a method for analyzing the causes of tunnel diseases, which explores the many causes of tunnel diseases and analyzes the driving forces and dependencies of various causes, thereby digging out the fundamental causes and serving the source control of tunnel diseases.

[0005] The technical solution of the present invention is as follows:

[0006] A method for analyzing the causes of tunnel diseases comprises the following steps: determining a target disease to be treated in a target tunnel; analyzing and determining all possible causes of the target disease occurring in the target tunnel based on the target disease; constructing a set of tunnel disease cause elements S based on all possible causes of the target disease; constructing a tunnel disease cause adjacency matrix A based on the set of tunnel disease cause elements, wherein the adjacency matrix determines the binary relationship between all the cause elements of the target disease; calculating a tunnel disease cause reachable matrix M based on the tunnel disease cause adjacency matrix, wherein the reachable matrix determines the transfer relationship between all the cause elements of the target disease; calculating the driving force and dependency of the tunnel disease cause elements based on the tunnel disease cause reachable matrix, wherein the driving force and dependency are the row sum and column sum of the rows and columns where each cause element is located in the reachable matrix, respectively; drawing a tunnel disease cause element dependency-driving force scatter plot based on the driving force and dependency of the tunnel disease cause elements; and analyzing the causes of tunnel diseases based on the tunnel disease cause element dependency-driving force scatter plot.

[0007] In some embodiments, determining the target disease to be treated in the target tunnel includes:

[0008] According to the need of disease treatment of the target tunnel to be treated, the target disease to be treated in the target tunnel is determined; the target disease includes one or more of leakage, crack, misalignment, block falling, convergence deformation, and voiding.

[0009] In some embodiments, the analyzing and determining all possible causes of the target disease in the target tunnel includes:

[0010] Based on the survey, design and construction data of the target tunnel, combined with expert consultation and on-site field investigation, all possible causes of the target tunnel's target disease are analyzed and determined.

[0011] In some embodiments, constructing the tunnel disease cause factor set S includes:

[0012] Based on all possible causes of the target disease in the target tunnel, the tunnel disease cause factor set S is constructed, and there is , where S i represents a certain causal factor of tunnel disease, and n represents the total number of causal factors of tunnel disease.

[0013] In some embodiments, constructing the tunnel disease cause adjacency matrix A includes:

[0014] Establish an expert group in the field of tunnel diseases, and have the expert group discuss and determine the binary relationship between the causal factors of tunnel diseases;

[0015] Traverse all the causal factors in the tunnel disease causal factor set S, and form an n-order matrix in order of their binary relations. The n-order matrix is ​​defined as the adjacency matrix A, which is expressed as , where i represents the i-th row of the adjacency matrix A, j represents the j-th column of the adjacency matrix A, and a ij Represents the element in the i-th row and j-th column of the adjacency matrix A.

[0016] In some embodiments, the binary relationship is represented by "0" or "1", and the binary relationship determination method is as follows:

[0017] .

[0018] In some embodiments, the calculating of the tunnel disease cause reachable matrix M comprises:

[0019] Obtain the transfer relationship between all causal factors, and calculate the reachable matrix M of the tunnel disease causal adjacency matrix A by the following formula:

[0020]

[0021] Where I is the identity matrix of the same order as the adjacency matrix A, and k is a positive integer.

[0022] In some embodiments, the calculation of the driving forces and dependencies of the tunnel disease causal factors includes:

[0023] Based on the tunnel disease cause reachable matrix M, the cause factor S in the reachable matrix M is i Sum the elements in the i-th row, and get the row sum of the elements in the i-th row, which is the causal factor S i The driving force of

[0024] For the causal factor S in the reachable matrix M i Sum the elements in the i-th column, and get the column sum of the elements in the i-th column, which is the causal factor S i Dependence;

[0025] The row and column sums of the elements in each row and column of the reachable matrix M are calculated in turn to obtain the driving force and dependency of all causal factors of tunnel diseases.

[0026] In some embodiments, drawing a tunnel disease cause factor dependency-driving force scatter plot includes:

[0027] According to the driving force and dependence of all the causal factors of tunnel diseases, a coordinate system is established with dependence as the horizontal axis and driving force as the vertical axis;

[0028] According to the driving force and dependence of the causal factors of tunnel diseases, a scatter plot of each causal factor is drawn;

[0029] The coordinate system is divided into four quadrants to classify the dependencies and driving forces of each causal factor.

[0030] In some embodiments, the first quadrant of the four quadrants is located at the lower left corner of the coordinate system and is defined as an autonomous cluster; the second quadrant is located at the upper left corner of the coordinate system and is defined as an independent cluster; the third quadrant is located at the upper right corner of the coordinate system and is defined as a connected cluster; and the fourth quadrant is located at the lower right corner of the coordinate system and is defined as a dependent cluster.

[0031] The beneficial effects of the present invention compared with the prior art are as follows: the present invention proposes a method for analyzing the causes of tunnel diseases, which explores the many causes of tunnel diseases and analyzes the driving forces and dependencies of various causes, thereby digging out the fundamental causes, serving the source control of tunnel diseases, and ensuring the long-term stability of the tunnel disease control effect. The specific advantages include at least one or more of the following:

[0032] (1) The analysis method provided by the present invention can analyze various causal factors of tunnel diseases and thus find out the characteristics and internal logical relationships of various causal factors of tunnel diseases.

[0033] (2) The analysis method provided by the present invention can obtain the binary relationship between the disease causative factors by constructing an adjacency matrix, thereby generating a reachable matrix as the basis for the subsequent calculation of the driving force and dependency of the disease causative factors.

[0034] (3) The analysis method provided by the present invention can explore the driving force and dependency relationship between different causal factors of tunnel diseases, and provide a reference for designing disease control solutions.

[0035] (4) The analysis method provided by the present invention can explore the deep-seated fundamental causes of tunnel diseases and provide a theoretical basis and rational suggestions for the source control of tunnel diseases.

[0036] (5) The analytical method provided by the present invention is simple, practical and easy to promote.

[0037] It should be understood that the implementation of any embodiment of the present invention does not mean that multiple or all of the above-mentioned beneficial effects must be possessed or achieved at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0039] The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with the technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantial technical significance. Any structural modification, change in proportion or adjustment in size shall still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0040] Figure 1 It is a schematic diagram of the overall process of a tunnel disease cause analysis method of the present invention;

[0041] Figure 2 This is a scatter diagram of tunnel disease causal factor dependence-driving force according to an embodiment of the present invention.

[0042] The same or corresponding symbols in the drawings indicate the same or corresponding parts. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the embodiments of the present invention more clearly understood, the embodiments of the present invention are further described in detail below in conjunction with the embodiments and drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0044] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0045] It should be understood that the terms "include / comprise", "consist of..." or any other variations are intended to cover non-exclusive inclusion, so that a product, device, process or method that includes a series of elements includes not only those elements, but also may include other elements not explicitly listed when necessary, or also includes elements inherent to such product, device, process or method. In the absence of more restrictions, the elements defined by the sentence "include / comprise...", "consist of..." do not exclude the presence of other identical elements in the product, device, process or method that includes the elements.

[0046] It is also necessary to understand that terms such as "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside" and "outside" to indicate directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device, component or structure must have a specific direction, be constructed or operate in a specific direction, and should not be understood as a limitation on the present invention.

[0047] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0048] The implementation of the present invention is described in detail below in conjunction with preferred embodiments.

[0049] The present invention provides a method for analyzing the causes of tunnel diseases. Figure 1The flowchart shown in the figure comprises the following steps: S10, determining the target disease to be treated in the target tunnel; S20, analyzing and determining all possible causes of the target disease in the target tunnel based on the target disease; S30, constructing a tunnel disease cause element set S based on all possible causes of the target disease; S40, constructing a tunnel disease cause adjacency matrix A based on the tunnel disease cause element set, the adjacency matrix determining the binary relationship between all the cause elements of the target disease; S50, calculating the tunnel disease cause adjacency matrix based on the tunnel disease cause adjacency matrix. Cause reachable matrix M, the reachable matrix determines the transfer relationship between all the cause elements of the target disease; S60, based on the tunnel disease cause reachable matrix, calculate the driving force and dependency of the tunnel disease cause elements, the driving force and dependency are the row sum and column sum of the row and column of each cause element in the reachable matrix respectively; S70, according to the driving force and dependency of the tunnel disease cause elements, draw the tunnel disease cause element dependency-driving force scatter diagram; S80, according to the tunnel disease cause element dependency-driving force scatter diagram, analyze the cause of tunnel disease. The analysis method provided by the present invention finds out the many causes of tunnel diseases and analyzes the driving force and dependency of various causes, digs out the fundamental cause, and serves the source control of tunnel diseases.

[0050] The method steps of the present invention are introduced below with a specific embodiment.

[0051] In step S10, the target disease to be treated in the target tunnel is determined.

[0052] According to the need for treating the target tunnel diseases to be treated, the target diseases to be treated in the target tunnel are determined. The target diseases may be one or more of leakage, cracks, misalignment, block drop, convergence deformation, and voiding. This embodiment takes a tunnel project as an example. The convergence deformation disease of the tunnel project is relatively serious and needs to be treated. The target disease to be treated in the target tunnel is convergence deformation.

[0053] In step S20, based on the target disease, all possible causes of the target disease in the target tunnel are analyzed and determined.

[0054] It should be noted that all possible causes mentioned here should be understood to include all foreseeable and unforeseen factors, referring to various possible factors rather than specifically referring to one or a certain type of cause.

[0055] After determining the target diseases to be treated in the target tunnel, all possible causes of the target diseases, such as changes in the stratum environment and adjacent construction activities, are analyzed based on the survey, design and construction data of the target tunnel, combined with expert consultation and on-site field investigation.

[0056] In this embodiment, after investigation and analysis, all possible causes of the target disease are shown in Table 1.

[0057] Table 1 Summary of causes of tunnel convergence deformation

[0058]

[0059] As shown in Table 1, it was initially found that the causes of the target diseases include four major categories: quality defects during the construction period, changes in the water and soil environment, adjacent construction activities, and tunnel operation factors. These four categories correspond to the 11 subcategories in the second column of Table 1, all of which are causes of tunnel convergence and deformation.

[0060] In step S30, a tunnel disease cause factor set S is constructed based on all possible causes of the target disease.

[0061] According to the analysis results of all possible causes of the target disease in the tunnel, a set of n disease cause factors is constructed and determined as the tunnel disease cause factor set S, and there is , where S i represents a certain causal factor of tunnel disease, and n represents the total number of causal factors of tunnel disease.

[0062] In this embodiment, after analyzing all possible causes of the target disease, a set of 11 disease cause elements is constructed in combination with Table 1, which is determined as the tunnel disease cause element set S. The constructed tunnel disease cause element set S is shown in Table 2, and .

[0063] Table 2 Factors causing tunnel damage

[0064]

[0065] In step S40, a tunnel disease cause adjacency matrix A is constructed based on the set of tunnel disease cause factors.

[0066] It should be noted that the adjacency matrix A determines the binary relationship between all the causal factors of the target disease. The binary relationship between the causal factors of the disease can be obtained by using the adjacency matrix.

[0067] In some embodiments, constructing the tunnel disease cause adjacency matrix may be specifically performed in the following manner:

[0068] In step S401, an expert group in the field of tunnel diseases is formed, and the expert group discusses and determines the binary relationship between the causal factors of tunnel diseases.

[0069] The binary relationship between all the causal factors of tunnel diseases is determined through group discussion and bidding. The binary relationship is represented by "0" or "1". The method for determining the binary relationship is as follows:

[0070]

[0071] In step S402, all the causal factors in the tunnel disease causal factor set S are traversed, and their binary relationships are sequentially constructed into an n-order matrix, which is defined as an adjacency matrix A, expressed as , where i represents the i-th row of the adjacency matrix A, j represents the j-th column of the adjacency matrix A, and a ij Represents the element in the i-th row and j-th column of the adjacency matrix A.

[0072] It should be noted that the adjacency matrix A is a Boolean matrix. A Boolean matrix is ​​a matrix whose elements can only be "0" or "1", so it is also called a 0-1 matrix.

[0073] In this embodiment, the tunnel disease cause adjacency matrix A obtained according to formula (1) is shown in formula (2):

[0074]

[0075] It is easy to understand that the above matrix element "1" represents the row causal factor S i List the causal factors S j Yes, for example, S1 affects S2 and S3 respectively.

[0076] In step S50, based on the tunnel disease cause adjacency matrix, the tunnel disease cause reachability matrix M is calculated.

[0077] The adjacency matrix is ​​the direct binary relationship between the causal factors of tunnel diseases. Through the transmission, some causal factors of tunnel diseases may have indirect influence relationships. By finding the transmission relationship between all the causal factors of tunnel diseases, the reachable matrix M can be obtained. If the adjacency matrix A satisfies the following formula (3) according to the Boolean matrix operation rules, the reachable matrix M of the adjacency matrix A of the causal factors of tunnel diseases is obtained:

[0078]

[0079] In formula (3), I is the identity matrix of the same order as the adjacency matrix A, and k is a positive integer. The reachability matrix is ​​also a Boolean matrix, indicating whether there is a connecting path from one causal factor to another causal factor. For example, if the element m in the i-th row and j-th column of the reachability matrix M is ij If it is 1, it means that the causal factor S i Can reach the causal factor S j , if m ij If it is 0, it means that the causal factor S i The causal factor S cannot be reached j .

[0080] It should be noted that k in formula (3) represents a positive integer, which increases from 1 until formula (3) is established, that is, the transfer relationship between the causal factors is found and the operation is terminated. I is the unit matrix, that is, the elements on the main diagonal are all 1 and the other elements are all 0.

[0081] In this embodiment, according to the Boolean matrix operation rules, the tunnel disease cause reachable matrix M is calculated by programming according to formula (3), and the calculation result is shown in formula (4):

[0082]

[0083] It is easy to understand that the above matrix element "1" represents the row causal factor S i You can reach the corresponding column causal factor S j .

[0084] In step S60, based on the tunnel disease cause reachability matrix, the driving force and dependency of the tunnel disease cause factors are calculated.

[0085] The driving force of a certain causal factor indicates the degree of influence of the causal factor on other causal factors; the dependency of a certain causal factor indicates the dependency or dependence of the causal factor on other causal factors. In the reachable matrix of the present invention, the driving force and the dependency are the row sum and column sum of the rows and columns of each causal factor in the reachable matrix, respectively.

[0086] Based on the tunnel disease cause reachable matrix M, firstly, the elements of the ith row where the cause element Si is located in the reachable matrix M are summed up to obtain the row sum of the elements of the ith row, which is the cause element S i driving force.

[0087] Then, the causal factor S in the reachable matrix M i The sum of the elements in the i-th column is obtained, and the column sum of the elements in the i-th column is the causal factor S i dependency.

[0088] Finally, the row and column sums of the elements in each row and column of the reachable matrix M are calculated in turn to obtain the driving force and dependency of all causal factors of tunnel diseases. The calculation results are shown in Table 3.

[0089] Table 3 Driving force and dependency values

[0090]

[0091] In step S70, a tunnel disease causal factor dependency-driving force scatter plot is drawn according to the driving force and dependency of the tunnel disease causal factor.

[0092] In some embodiments, drawing a tunnel disease cause factor dependency-driving force scatter diagram may be specifically performed in the following manner:

[0093] In step S701, according to the driving force and dependency of all causal factors of tunnel diseases, a coordinate system is established with dependency as the horizontal axis and driving force as the vertical axis.

[0094] In step S702, a scatter plot of each causal factor is drawn according to the driving force and dependency of the causal factors of tunnel disease.

[0095] It should be noted that the driving force of the tunnel disease causal factor is used as the ordinate value, and the dependence is used as the abscissa value. Points are plotted in the plane coordinate system established in step S701 to draw a scatter plot of each causal factor.

[0096] In step S703, the coordinate system is divided into four quadrants, and the dependency and driving force of each causal factor are classified.

[0097] By dividing the quadrants, we can more clearly understand the roles and correlations between the causal factors of the disease and classify them so as to better formulate strategies and measures to control the disease.

[0098] like Figure 2 As shown, the present invention divides the coordinate system into four quadrants according to the calculation results of the driving force and dependency of the tunnel disease causative factors. Among them, the position of the vertical dotted line relative to the horizontal axis of the quadrant divided by the MICMAC model is obtained by adding 1 to the maximum value of the dependency among all the disease causative factors and then dividing it by 2, and the position of the horizontal dotted line relative to the vertical axis is obtained by adding 1 to the maximum value of the driving force among all the disease causative factors and then dividing it by 2.

[0099] Continue to see Figure 2 Specifically, the first quadrant is located in the lower left corner of the coordinate system and is defined as an autonomous cluster; the second quadrant is located in the upper left corner of the coordinate system and is defined as an independent cluster; the third quadrant is located in the upper right corner of the coordinate system and is defined as a connected cluster; the fourth quadrant is located in the lower right corner of the coordinate system and is defined as a dependent cluster. From the definition combined with the coordinate axis, it can be seen that the driving force and dependence of the autonomous cluster are weaker; the driving force of the independent cluster is stronger and the dependence is weaker; the driving force and dependence of the connected cluster are stronger; the dependence of the dependent cluster is stronger and the driving force is weaker. It should be noted that the arrangement of the above quadrants is not unique. The arrangement and definition of the four quadrants can be adjusted as needed. For example, placing the dependency on the vertical axis and the driving force on the horizontal axis will change the definition of each quadrant accordingly.

[0100] Based on their positions in different quadrants, each causal factor is classified.

[0101] In this embodiment, according to the dependence and driving force values ​​of the various causal factors of tunnel diseases in Table 3, a scatter diagram of the dependence of the causal factors of tunnel diseases and the driving force is drawn, as shown in FIG. Figure 2 shown.

[0102] In step S80, based on the tunnel disease causal factor dependency-driving force scatter diagram, the characteristics of the tunnel disease causal factors are explored and the fundamental causes of the tunnel disease are excavated.

[0103] In this embodiment, Figure 2 It can be seen that the causes of tunnel diseases are distributed in quadrants 1, 2 and 4, but not in quadrant 3. The following conclusions can be drawn through analysis:

[0104] (1) Element S9 (increased operating time) is located in the autonomous cluster (the first quadrant). The driving force and dependence of the causal factors of the autonomous cluster are relatively weak. It is relatively independent and objective. It does not affect other causal factors, nor is it affected by other causal factors.

[0105] (2) The causal factors S1 (investigation quality defects), S2 (design quality defects), S6 (surface load), S7 (side foundation pit excavation), S8 (adjacent foundation pit dewatering), S10 (traffic load in the tunnel) and S11 (untimely and inadequate disease control) are located in an independent cluster (the second quadrant). These causal factors have strong driving forces and weak dependencies. They are essentially deep-seated root cause factors. If these causal factors can be better resolved, they will have a positive impact on the resolution of other causal factors.

[0106] (3) The causal factors S3 (construction quality defects), S4 (hydrological environment changes), and S5 (geological environment changes) are located in the dependency cluster (quadrant 4), that is, these causal factors have lower driving force and higher dependence, indicating that the solution of these causal factors is heavily dependent on the solution of other causal factors.

[0107] Therefore, when treating tunnel convergence deformation diseases, it is important to first eliminate the disease-causing factors located in the independent cluster (second quadrant), including S1 (investigation quality defects), S2 (design quality defects), S6 (surface load), S7 (side foundation pit excavation), S8 (adjacent foundation pit dewatering), S10 (traffic load in the tunnel) and S11 (untimely and inadequate disease treatment). Considering that some of the disease-causing factors have already occurred and cannot be solved, such as S1 (investigation quality defects), S2 (design quality defects), S6 (surface load), S7 (side foundation pit excavation), S8 (adjacent foundation pit dewatering), S10 (traffic load in the tunnel) and S11 (untimely and inadequate disease treatment). Therefore, when actually treating the convergence and deformation disease of the tunnel, it is necessary to first deal with the three types of causal factors S6 (surface load), S7 (side foundation pit excavation) and S8 (adjacent foundation pit dewatering), take measures to eliminate or weaken these causal factors as much as possible, and then treat the tunnel convergence and deformation disease in a timely and effective manner. Tunnel reinforcement measures such as internal bonded steel rings and composite cavities can be used to ensure that the tunnel convergence and deformation disease is fundamentally treated.

[0108] It can be seen that the analysis method provided by the present invention can identify the many causes of tunnel diseases and analyze the driving forces and dependencies of various causes, thereby digging out the fundamental causes and giving priority to the fundamental causes. The present invention can serve the source control of tunnel diseases and ensure the long-term stability of the tunnel disease control effect.

[0109] It is easy for those skilled in the art to understand that, under the premise of no conflict, the above-mentioned preferred solutions can be freely combined and superimposed.

[0110] 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 protection scope of the present invention.

Claims

1. A method for analyzing the causes of tunnel defects, characterized in that: The steps include: Determine the target diseases to be treated in the target tunnel; Based on the target disease, analyze and determine all possible causes of the target disease in the target tunnel; Based on all possible causes of the target disease, a set of tunnel disease cause factors S is constructed; Based on the set of tunnel disease causal factors, a tunnel disease causal adjacency matrix A is constructed, wherein the adjacency matrix determines the binary relationship between all the causal factors of the target disease; Based on the adjacency matrix of the causes of tunnel diseases, a reachable matrix M of the causes of tunnel diseases is calculated, wherein the reachable matrix determines the transmission relationship between all the causal factors of the target diseases; Based on the tunnel disease causal reachable matrix, the driving force and dependency of the tunnel disease causal factors are calculated, and the driving force and dependency are the row sum and column sum of the rows and columns where each causal factor is located in the reachable matrix respectively; According to the driving force and dependency of the causal factors of tunnel diseases, a scatter diagram of the dependency-driving force of the causal factors of tunnel diseases is drawn; The causes of tunnel diseases are analyzed based on the scatter plot of tunnel disease cause factor dependence-driving force.

2. The analysis method according to claim 1, characterized in that The target diseases to be treated in the target tunnel include: According to the need of disease treatment of the target tunnel to be treated, the target disease to be treated in the target tunnel is determined; the target disease includes one or more of leakage, crack, misalignment, block falling, convergence deformation, and voiding.

3. The analysis method according to claim 1, characterized in that The analysis determined that all possible causes of the target disease in the target tunnel include: Based on the survey, design and construction data of the target tunnel, combined with expert consultation and on-site field investigation, all possible causes of the target tunnel's target disease are analyzed and determined.

4. The analysis method according to claim 1, characterized in that The tunnel disease cause factor set S constructed includes: Based on all possible causes of the target disease in the target tunnel, the tunnel disease cause factor set S is constructed, and there is , where S i represents a certain causal factor of tunnel disease, and n represents the total number of causal factors of tunnel disease.

5. The analysis method according to claim 4, characterized in that The construction of the tunnel disease cause adjacency matrix A includes: Establish an expert group in the field of tunnel diseases, and have the expert group discuss and determine the binary relationship between the causal factors of tunnel diseases; Traverse all the causal factors in the tunnel disease causal factor set S, and form an n-order matrix in order of their binary relations. The n-order matrix is ​​defined as the adjacency matrix A, which is expressed as , where i represents the i-th row of the adjacency matrix A, j represents the j-th column of the adjacency matrix A, and a ij Represents the element in the i-th row and j-th column of the adjacency matrix A.

6. The analysis method according to claim 5, characterized in that The binary relationship is represented by "0" or "1", and the binary relationship determination method is as follows: 。 7. The analysis method according to claim 1, characterized in that The calculation of the tunnel disease cause reachable matrix M includes: Obtain the transfer relationship between all causal factors, and calculate the reachable matrix M of the tunnel disease causal adjacency matrix A by the following formula: ； Where I is the identity matrix of the same order as the adjacency matrix A, and k is a positive integer.

8. The analysis method according to claim 1, characterized in that The driving forces and dependencies for calculating the causes of tunnel disease include: Based on the tunnel disease cause reachable matrix M, the cause factor S in the reachable matrix M is i Sum the elements in the i-th row, and get the row sum of the elements in the i-th row, which is the causal factor S i The driving force of For the causal factor S in the reachable matrix M i Sum the elements in the i-th column, and get the column sum of the elements in the i-th column, which is the causal factor S i Dependence; The row and column sums of the elements in each row and column of the reachable matrix M are calculated in turn to obtain the driving force and dependency of all causal factors of tunnel diseases.

9. The analysis method according to claim 1, characterized in that The drawing of the tunnel disease cause factor dependency-driving force scatter diagram includes: According to the driving force and dependence of all the causal factors of tunnel diseases, a coordinate system is established with dependence as the horizontal axis and driving force as the vertical axis; According to the driving force and dependence of the causal factors of tunnel diseases, a scatter plot of each causal factor is drawn; The coordinate system is divided into four quadrants to classify the dependencies and driving forces of each causal factor.

10. The analysis method according to claim 9, characterized in that The first quadrant of the four quadrants is located at the lower left corner of the coordinate system and is defined as an autonomous cluster; the second quadrant is located at the upper left corner of the coordinate system and is defined as an independent cluster; the third quadrant is located at the upper right corner of the coordinate system and is defined as a connected cluster; and the fourth quadrant is located at the lower right corner of the coordinate system and is defined as a dependent cluster.

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