Aqueduct degradation analysis method, system and device

Abstract

The present invention discloses an aqueduct degradation analysis method, system and device, which belongs to the technical field of aqueduct degradation analysis. The present invention obtains static data and dynamic data of an aqueduct entity through an acquisition module, establishes a digital twin model A based on the static data β1, establishes a digital twin model B based on the static data β2 and dynamic data of the aqueduct entity, analyzes the static data β3, obtains the change point interval I (X, Y) and determines the change point position D of B, performs degradation processing on A, and obtains a digital model A. 1 , A 1 Compare with B, and perform statistical analysis on the comparison results to obtain the degradation results. The degradation treatment is carried out through freeze-thaw damage dynamic analysis, coupled prediction analysis and finite element analysis methods, and then the treatment results are analyzed through the comparison module, and the degradation analysis results are presented in graphics.

Description

Technical Field

[0001] The present invention relates to the technical field of aqueduct degradation analysis, and in particular to an aqueduct degradation analysis system and analysis method. Background Art

[0002] Aqueducts are overhead water channels used to transport channel water across rivers, valleys, depressions, and roads. They play an important role in water diversion and regulation projects. During use, aqueducts are subject to hazards such as low temperature frost damage and sulfate erosion. Especially in the northwest region, due to climatic reasons, the service life of aqueducts in this area is much shorter than that in other regions. If the aqueduct is damaged, the entire water diversion and regulation project will fail. Therefore, it is of great significance to conduct degradation analysis of aqueducts.

[0003] Most of the existing aqueduct disadvantage analysis methods take a piece of aqueduct as an example, establish experimental specimens according to the material ratio of the aqueduct, and then conduct disadvantage analysis. The experimental analysis process takes a lot of time and cannot simulate the environment in which the aqueduct is located well, resulting in certain errors in the degradation analysis process. At the same time, it has obvious disadvantages for studying multiple aqueducts.

[0004] Therefore, the degradation analysis of aqueducts can be carried out by establishing a digital model of the aqueduct, thereby solving the disadvantages of traditional aqueduct degradation analysis, such as being time-consuming and unable to accurately simulate the environment in which the aqueduct exists. At the same time, it can more conveniently study multiple different aqueducts and solve the problem of having to establish experimental specimens based on the material ratio of the aqueduct when studying a section of the aqueduct. Summary of the Invention

[0005] The object of the present invention is to provide an aqueduct degradation analysis system and analysis method to solve the problems raised in the above background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solution: an aqueduct degradation analysis method, the steps of the aqueduct degradation analysis method comprising:

[0007] L1. Obtain static data and dynamic data of the aqueduct entity;

[0008] L2, establish digital twin model A based on static data β1;

[0009] L3. Establish a digital twin model B based on the static data β2 and dynamic data of the aqueduct entity;

[0010] L4. Analyze the static data β3 to obtain the change point interval I(X, Y) and determine the change point position D of B;

[0011] L5, perform degradation processing on the basis of A to obtain digital model A 1 ;

[0012] L6. Will A 1 Compare with B, and perform statistical analysis on the comparison results to obtain the degradation results.

[0013] Among them, static data β1 refers to all aqueduct data when the aqueduct construction is completed, static data β2 refers to the aqueduct data collected in real time by the data acquisition unit, and static data β3 refers to the historical data of the aqueduct change process.

[0014] According to the above technical solution, the calculation steps of the change point interval are:

[0015] Establish the likelihood function based on the static data β3;

[0016] Based on the likelihood function, the change point interval I(X, Y) is calculated using a multidimensional search algorithm and the BIC minimum criterion;

[0017] Use the if function to determine whether the static data β3 is within the change point interval I(X, Y) and determine the change point position D of B;

[0018] Among them, the multidimensional search algorithm and BIC minimum criterion are known technical solutions and will not be described in detail here. Calculating the change point interval and determining the change point position D of B is to more accurately judge whether it conforms to the actual degradation process of the aqueduct, making the degradation analysis results more accurate.

[0019] According to the above technical solution, the degradation treatment is carried out through freeze-thaw damage dynamic analysis, coupled prediction analysis and finite element analysis.

[0020] According to the above technical solution, the freeze-thaw damage dynamic analysis is performed through a freeze-thaw damage dynamic model, and the freeze-thaw damage dynamic model expression is:

[0021]

[0022] Where β is the inverse of the Biot modulus, p w is the pore water pressure, D is the permeability coefficient, η is the dynamic viscosity of water, S is the source term of water pressure, K0 and K m are the bulk elastic moduli of the porous system and the skeleton, is the volume strain, σ is the total stress, ρ is the density of the entire system, C is the specific heat capacity of the system, t is the time, L is the latent heat of phase change of water, λ is the thermal conductivity of the system, W i for the heat of ice;

[0023] The establishment of this freeze-thaw damage dynamic model takes into account the coupling of the Darcy seepage field of penetration, the stress field of frost heave and the temperature field of water-ice phase change, making the freeze-thaw damage dynamic model more accurate.

[0024] According to the above technical solution, the steps of coupling prediction analysis include:

[0025] The basic idea of ​​Granger causality test is used to screen coupling variables and establish a multivariate prediction model;

[0026] The data structure of coupled variables is determined using the saturated correlation dimension method and mutual information function value;

[0027] The determined coupling variable data structure is brought into the multivariable prediction model to establish a coupling prediction model.

[0028] Among them, the basic idea of ​​Granger causality test, saturated correlation dimension and mutual information function value belong to the existing technology and will not be explained in detail here. The expression of the multivariate prediction model is: x1, x2,

[0029] x nm They are represented as different coupling variables.

[0030] According to the above technical solution, the coupling prediction model is:

[0031]

[0032] in, represents a nonlinear model, nm represents the number of valid variables, f1(*), f2(*), …, f nm (*) represent the prediction models of different variables, x1, x2, x nm are expressed as different coupling variables;

[0033] The steps of model building are The linear weighted combination in is replaced by nonlinear weighting, w1, w2, w nm They represent different combination weights respectively. The model considers not only the influence of a single coupling variable, but also the mutual influence between multiple coupling variables, making the model prediction more accurate. The coupling variables can be different concentrations of Na2SO4, temperature, etc.

[0034] According to the above technical solution, the finite element analysis step includes:

[0035] A coordinate system is established based on A, with the water flow direction as the X-axis, the direction perpendicular to the water flow as the Y-axis, and the Z-axis as the vertical direction;

[0036] Calculate loads and determine boundary conditions based on static data;

[0037] Determine the aqueduct loss plan based on various types of damage to the aqueduct;

[0038] Simulate and analyze A according to the aqueduct loss scheme to determine relevant parameters, and obtain the finite element analysis results.

[0039] Among them, the loads considered include self-weight, water load, crowd load, wind load, ice pressure, uneven settlement displacement load, prestress, etc. The relevant parameters for finite element analysis include ANSYS element types, node coupling between elements, and the constitutive model of structural materials. The aqueduct loss scheme can be various, and multiple deterioration analysis models make the analysis process more comprehensive and the results more accurate.

[0040] According to the above technical solution, the steps of the statistical analysis include:

[0041] In A 1 Determine the change point position d corresponding to D, and obtain the data M corresponding to point d;

[0042] Use the if function to judge whether this point is in the change point interval I(X, Y). When X ≤ M ≤ Y, it proves that this point is in the change point state; when M < X or M > Y, it proves that this point is normal, and store the data of this point into the set Ψ;

[0043] Use the sizeof function to calculate the number of elements τ contained in the set Ψ, and compare τ with the maximum error σ, that is

[0044] When τ < α, it proves that the deterioration treatment process of A conforms to the actual deterioration trend of the aqueduct, and draw the data during the process from A to A 1 into a graph to display the deterioration analysis results;

[0045] When τ > α, it proves that the deterioration treatment process of A does not conform to the actual deterioration trend of the aqueduct, and it is necessary to re-adjust the aqueduct loss scheme and the coupling variable combination mode to re-conduct the deterioration analysis;

[0046] Among them, the graphs include bar charts, pie charts, line charts, etc. Displaying in the form of graphs can make the deterioration analysis results more intuitive. Using three methods for deterioration analysis makes the analysis results more persuasive, reduces the errors in the analysis process to a certain extent, and at the same time 1 Compare the number of change points at the position corresponding to A and B with the number of change points of B to judge whether the simulated deterioration process is correct, making the deterioration analysis process more accurate.

[0047] The aqueduct deterioration analysis system includes: an acquisition module for acquiring static data and dynamic data of the aqueduct entity;

[0048] A first modeling module for establishing a digital twin model A according to the static data β1;

[0049] The second modeling module establishes a digital twin model B based on the static data β2 and dynamic data of the aqueduct entity;

[0050] The data analysis module is used to analyze the static data β3 to obtain the change point interval I and determine the change point position D of B;

[0051] Degradation processing module, used to perform degradation processing based on A to obtain digital model A 1 ;

[0052] Comparison module, used to compare A 1 Compare with B, and perform statistical analysis on the comparison results to obtain the degradation results.

[0053] The degradation processing module includes a freeze-thaw analysis unit, a coupling analysis unit and a finite element numerical simulation unit;

[0054] The comparison module includes a comparison unit and a display unit. The comparison unit is used to determine whether the degradation process is consistent with reality, and the display unit is used to present the correct degradation result in the form of a graph.

[0055] The output end of the acquisition module is connected to the input end of the first modeling module, the second modeling module and the data analysis module. The output end of the first modeling module is connected to the input end of the degradation processing module, the output end of the data analysis module is connected to the second modeling module, and the output segments of the second modeling module and the degradation processing module are connected to the input end of the comparison module.

[0056] According to the above technical solution, the aqueduct degradation analysis device includes a processor and a memory, wherein the memory stores a computer program, and the processor implements the steps of the aqueduct degradation analysis method when executing the computer program.

[0057] Through the above technical solution, disadvantage analysis is carried out on the digital twin model of the aqueduct, making the analysis process clearer and the results more accurate, while also saving a certain amount of time.

[0058] Compared with the prior art, the present invention has the following beneficial effects:

[0059] 1. The present invention constructs a digital twin model of the aqueduct to perform aqueduct degradation analysis, which shortens the cycle of aqueduct degradation analysis and makes the content of aqueduct degradation analysis more specific and detailed. Because it can better simulate the actual conditions of the aqueduct, the aqueduct analysis results are more accurate and convenient for studying multiple aqueducts at the same time.

[0060] 2. The present invention is provided with a data analysis module. Since the aqueduct is constantly being damaged, the collected data changes constantly. Due to the continuous accumulation of damage to the aqueduct, a certain node of the aqueduct may undergo a sudden change during the data collection process, resulting in abnormal analysis during degradation analysis. Through the data analysis module, the estimated position and interval of the change point are predicted. By comparing the change point positions, it is determined whether the degradation process is correct, so that the analysis plan can be adjusted in time, and the analysis can be made more accurate.

[0061] 3. The present invention sets up a degradation processing module, which is divided into a freeze-thaw analysis unit, a coupling analysis unit and a finite element numerical unit. The multiple degradation analysis methods make the analysis results more accurate and more convincing. Among them, the coupling analysis unit performs analysis by combining multiple influencing factors, making the analysis results more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0063] Figure 1 It is a schematic flow chart of the steps of the aqueduct degradation analysis method;

[0064] Figure 2 It is a flowchart of the change point interval calculation steps;

[0065] Figure 3 It is a schematic diagram of the steps of coupled prediction analysis;

[0066] Figure 4 It is a flow chart of the steps of finite element analysis;

[0067] Figure 5 It is a schematic diagram of the connection structure of the aqueduct degradation system modules. DETAILED DESCRIPTION

[0068] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0069] See also Figure 1-Figure 5 The present invention provides a technical solution: an aqueduct degradation analysis method, the steps of the aqueduct degradation analysis method include:

[0070] L1. Obtain static and dynamic data of the aqueduct entity. Data collection can be performed using sensors, cameras, measuring instruments, etc. For example, the measuring instrument measures the static data of the 5U-type aqueduct of the main canal of the Jingdian Irrigation District Phase II Project as follows: the single span length is 12.13m.

[0071] L2. Establish a digital twin model A based on static data β1. Static data β1 is the 5U-shaped aqueduct of the main canal of the Jingdian Irrigation District Phase II Project. The design length of the single span is 12m, the distance from the top to the bottom of the aqueduct is 17m, the bottom plate thickness is 0.5m, the design water depth during water flow is 3.05m, the increased water depth is 3.4m, and the foundation dimensions of the aqueduct are 7.4m×4.0m×1.6m. Establish a digital twin model A based on this static data.

[0072] L3. Establish a digital twin model B based on the static data β2 and dynamic data of the aqueduct entity; the static data β2 is the body data measured on-site at the 5U-type aqueduct of the main canal of the Jingdian Irrigation District Phase II Project, such as: the single span length is 12.11m, the distance from the top to the bottom of the aqueduct is 17.05m, and the bottom plate thickness is 0.49m, thereby establishing the digital twin model B.

[0073] L4. Analyze the static data β3 to obtain the change point interval I(X, Y) and determine the change point position D of B. Specifically, establish a likelihood function based on the static data β3; calculate the change point interval I(X, Y) based on the likelihood function using a multidimensional search algorithm and the BIC minimum criterion; use the if function to determine whether the static data β3 is within the change point interval I(X, Y), and determine the change point position D of B;

[0074] L5, perform degradation processing on the basis of A to obtain digital model A 1 Specifically, based on A, degradation treatment is carried out through freeze-thaw damage dynamic analysis, coupled prediction analysis and finite element analysis methods.

[0075] The dynamic analysis of freeze-thaw damage is carried out through the freeze-thaw damage dynamic model. The expression of the freeze-thaw damage dynamic model is:

[0076]

[0077] Where β is the inverse of the Biot modulus, p w is the pore water pressure, D is the permeability coefficient, η is the dynamic viscosity of water, S is the source term of water pressure, K0 and K m are the bulk elastic moduli of the porous system and the skeleton, is the volume strain, σ is the total stress, ρ is the density of the entire system, C is the specific heat capacity of the system, t is the time, L is the latent heat of phase change of water, λ is the thermal conductivity of the system, W i for the heat of ice;

[0078] The establishment of this freeze-thaw damage dynamic model takes into account the coupling of the Darcy seepage field of penetration, the stress field of frost heave and the temperature field of water-ice phase change, making the freeze-thaw damage dynamic model more accurate.

[0079] The steps of coupling prediction analysis include: using the basic idea of ​​Granger causality test to screen coupling variables and establish a multivariate prediction model; using the saturated correlation dimension method and mutual information function value to determine the coupling variable data structure; bringing the determined coupling variable data structure into the multivariate prediction model to establish the coupling prediction model.

[0080] Among them, the basic idea of ​​Granger causality test, saturated correlation dimension and mutual information function value belong to the existing technology and will not be explained in detail here. The expression of the multivariate prediction model is: x1, x2, x nm They are represented as different coupling variables.

[0081] The coupled prediction model is:

[0082]

[0083] in, represents a nonlinear model, nm represents the number of valid variables, f1(*), f2(*), …, f nm (*) represent the prediction models of different variables, x1, x2, x nm are expressed as different coupling variables;

[0084] The steps of model building are The linear weighted combination in is replaced by nonlinear weighting, w1, w2, w nm They represent different combination weights respectively. The model considers not only the influence of a single coupling variable, but also the mutual influence between multiple coupling variables, making the model prediction more accurate. The coupling variables can be different concentrations of Na2SO4, temperature, etc.

[0085] The finite element analysis steps include:

[0086] A coordinate system is established based on A, with the water flow direction as the X-axis, the direction perpendicular to the water flow as the Y-axis, and the Z-axis as the vertical direction;

[0087] Calculate loads and determine boundary conditions based on static data; loads include deadweight, water load, crowd load, wind load, ice pressure, differential settlement displacement load, and prestress;

[0088] The aqueduct loss scheme is determined based on various types of damage to the aqueduct, specifically Scheme 1: structural deadweight + prestressed load + crowd load + water load + wind load + ice pressure + freeze-thaw damage; Scheme 2: structural deadweight + prestressed load + crowd load + water load + wind load + ice pressure + prestressed damage; Scheme 3: structural deadweight + prestressed load + crowd load + water load + wind load + ice pressure + uneven settlement;

[0089] Based on the aqueduct loss scenario, relevant parameters were determined for simulation analysis of A, resulting in finite element analysis results. The relevant finite element analysis parameters include ANSYS element type, inter-element node coupling, and the constitutive model of the structural material. These parameters were determined by using ANSYS finite element analysis software to study the system, using LINK8 elements for the prestressed steel strands and SOLID65 elements for the aqueduct body.

[0090] L6. Will A 1 Compare with B, and perform statistical analysis on the comparison results to obtain the degradation results. Specifically, 1 Determine the change point position d corresponding to D, and obtain the data 21 for point d;

[0091] Use the if function to determine whether the point is in the change point interval I(20, 30). When 20≤21≤30, it proves that the point is in the change point state.

[0092] The number of elements in the set Ψ = {21, 45, 34, 67, 46} is calculated using the sizeof function. τ = 5 is compared with the maximum error σ = 6, indicating that the degradation process of A is consistent with the actual degradation trend of the aqueduct. 1 The process data is plotted into bar charts, fan charts, and line charts to display the degradation analysis results;

[0093] Among them, the graphics include bar graphs, fan graphs, line graphs, etc. The graphical display can make the degradation analysis results more intuitive. The three methods of degradation analysis make the analysis results more convincing and reduce the error in the analysis process to a certain extent. 1 The number of change points at the position corresponding to B is compared with the number of change points of B to determine whether the simulated degradation process is correct, making the degradation analysis process more accurate.

[0094] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0095] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. Aqueduct degradation analysis method, characterized by: The steps of the aqueduct deterioration analysis method include: Obtain the static data and dynamic data of the aqueduct entity; Establish a digital twin model A based on the static data β1; Establish a digital twin model B based on the static data β2 and dynamic data of the aqueduct entity; Analyze the static data β3 to obtain the change point interval I(X, Y) and determine the change point position D of B; wherein, the calculation steps of the change point interval are: Establish a likelihood function based on the static data β3; Use a multi-dimensional search algorithm and the BIC minimum criterion to calculate the change point interval I(X, Y) based on the likelihood function; Use the if function to determine whether the static data β3 is within the change point interval I(X, Y) and determine the change point position D of B; Perform degradation processing on the basis of A to obtain digital model A 1 ; The degradation treatment is carried out by freeze-thaw damage dynamic analysis, coupled prediction analysis and finite element analysis; A 1 Compare with B, and perform statistical analysis on the comparison results to obtain degradation results, wherein the statistical analysis steps include: In A 1 Determine the change point position d corresponding to D, and obtain the data M for point d; Use the if function to determine whether the point is within the change point interval I(X, Y). When X ≤ M ≤ Y, it is proved that the point is in the change point state; when M < X or M > Y, it is proved that the point is normal, and the data of this point is stored in the set Ψ; Use the sizeof function to calculate the number of elements τ contained in the set Ψ and compare τ with the maximum error σ, that is When τ<α, it is proved that the degradation process of A is consistent with the actual degradation trend of the aqueduct, and the degradation process from A to A 1 The process data is plotted into graphs to display the degradation analysis results; When τ > α, it is proved that the deterioration treatment process of A does not conform to the actual deterioration trend of the aqueduct, and it is necessary to readjust the aqueduct loss scheme and the coupling variable combination mode to re-perform the deterioration analysis.

2. The aqueduct degradation analysis method according to claim 1, characterized in that: The freeze-thaw damage dynamic analysis is carried out through a freeze-thaw damage dynamic model, and the expression of the freeze-thaw damage dynamic model is: Where β is the inverse of the Biot modulus, p w is the pore water pressure, D is the permeability coefficient, η is the dynamic viscosity of water, S is the source term of water pressure, K0 and K m are the bulk elastic moduli of the porous system and the skeleton, is the volume strain, σ is the total stress, ρ is the density of the entire system, C is the specific heat capacity of the system, t is the time, L is the latent heat of phase change of water, λ is the thermal conductivity of the system, W i For the heat of ice.

3. The aqueduct degradation analysis method according to claim 1, characterized in that: The steps of the coupling prediction analysis include: Use the basic idea of Granger causality test to screen the coupling variables and establish a multi-variable prediction model; Use the saturation correlation dimension method and the mutual information function value to determine the data structure of the coupling variables; Substitute the determined data structure of the coupling variables into the multi-variable prediction model to establish a coupling prediction model.

4. The aqueduct degradation analysis method according to claim 3, characterized in that: The coupling prediction model is: in, represents a nonlinear model, nm represents the number of valid variables, f1(*), f2(*), …, f nm (*) represent the prediction models of different variables, x1, x2, x nm They are represented as different coupling variables.

5. The aqueduct degradation analysis method according to claim 1, characterized in that: The steps of the finite element analysis include: Establish a coordinate system based on A, with the water flow direction as the X-axis, the direction perpendicular to the water flow as the Y-axis, and the Z-axis as the vertical direction; Calculate the load according to the static data and determine the boundary conditions; Determine the aqueduct loss scheme according to various damage conditions of the aqueduct; Determine the relevant parameters according to the aqueduct loss scheme and perform simulation analysis on A to obtain the finite element analysis result.

6. Aqueduct degradation analysis system, characterized by: Include: An acquisition module for acquiring the static data and dynamic data of the aqueduct entity; A first modeling module for establishing a digital twin model A based on the static data β1; A second modeling module for establishing a digital twin model B according to the static data β2 and dynamic data of the aqueduct entity; A data analysis module for analyzing the static data β3 to obtain the change point interval I and determining the change point position D of B; the calculation steps of the change point interval are: Establish a likelihood function based on the static data β3; Use a multi-dimensional search algorithm and the BIC minimum criterion to calculate the change point interval I(X, Y) based on the likelihood function; Use the if function to determine whether the static data β3 is within the change point interval I(X, Y) and determine the change point position D of B; Degradation processing module, used to perform degradation processing based on A to obtain digital model A 1 ; The deterioration treatment is carried out through the methods of freeze-thaw damage dynamic analysis, coupling prediction analysis and finite element analysis; Comparison module, used to compare A 1 Compare with B and perform statistical analysis on the comparison results to obtain the degradation results; The steps of the statistical analysis include: In A 1 Determine the change point position d corresponding to D, and obtain the data M for point d; Use the if function to determine whether the point is in the change point interval I(X, Y). When X ≤ M ≤ Y, it proves that the point is in the change point state; when M < X or M > Y, it proves that the point is normal, and the data of this point is stored in the set Ψ; Use the sizeof function to calculate the number of elements τ contained in the set Ψ, and compare τ with the maximum error σ, that is When τ<α, it is proved that the degradation process of A is consistent with the actual degradation trend of the aqueduct, and the degradation process from A to A 1 The process data is plotted into graphs to display the degradation analysis results; When τ > α, it proves that the deterioration process of A does not conform to the actual deterioration trend of the aqueduct, and it is necessary to readjust the aqueduct loss scheme and the coupled variable combination mode to re-perform the deterioration analysis; The deterioration processing module includes a freeze-thaw analysis unit, a coupling analysis unit and a finite element numerical simulation unit; The comparison module includes a comparison unit and a display unit. The comparison unit is used to judge whether the deterioration process conforms to the reality, and the display unit is used to present the correct deterioration result in the form of a graph; The output end of the acquisition module is connected to the input ends of the first modeling module, the second modeling module and the data analysis module. The output end of the first modeling module is connected to the input end of the deterioration processing module. The output end of the data analysis module is connected to the second modeling module. The output segments of the second modeling module and the deterioration processing module are connected to the input end of the comparison module.

7. Aqueduct degradation analysis device, characterized by: It includes a processor and a memory. The memory stores a computer program. When the processor executes the computer program, it realizes the steps of the aqueduct deterioration analysis method described in any one of claims 1-5.

Images