Feasibility judgment method and system for pavement maintenance scheme

Abstract

The present application relates to the technical field of pavement maintenance, and provides a method and system for judging the feasibility of a pavement maintenance plan. The method includes obtaining first geometric parameter information and material composition information of a target pavement segment, and constructing a first simulated pavement segment corresponding to the target pavement segment based on the first geometric parameter information and material composition information; obtaining a maintenance plan for the target pavement segment, and performing simulated maintenance on the simulated pavement segment based on the maintenance plan to obtain a second simulated pavement segment; obtaining vehicle distribution information of the target pavement segment within a preset historical time period, and performing cyclic load simulation on the second simulated pavement segment based on the vehicle distribution information to obtain a third simulated pavement segment; judging whether the maintenance plan is feasible based on the difference information between the first simulated pavement segment and the third simulated pavement segment. The method can scientifically predict the feasibility of the maintenance plan for the target pavement segment before maintaining the target pavement segment.

Description

Technical Field

[0001] The present application relates to the technical field of pavement maintenance, and in particular to a method and system for determining the feasibility of a pavement maintenance plan. Background Art

[0002] In the modern transportation system, the maintenance and upkeep of road infrastructure is crucial for ensuring safe and smooth traffic. As roads age and traffic volumes continue to grow, various forms of road surface damage, such as cracks, potholes, and rutting, inevitably occur. These pavement defects not only affect driving comfort and safety but also accelerate vehicle wear and tear, increasing the likelihood of traffic accidents. Therefore, the scientific evaluation and implementation of road maintenance programs has become a crucial topic in road engineering research.

[0003] Traditional pavement maintenance methods rely primarily on empirical judgment and on-site testing. However, this approach cannot accurately predict maintenance outcomes, which can easily lead to maintenance plans that are inconsistent with the actual pavement conditions, resulting in poor maintenance results. Therefore, a feasibility assessment method for pavement maintenance plans is needed to assess their feasibility before maintenance is carried out. Summary of the Invention

[0004] The present application provides a method and system for determining the feasibility of a pavement maintenance plan to solve the problems raised by the above-mentioned background technology.

[0005] In a first aspect, the present application provides a method for determining the feasibility of a pavement maintenance plan, comprising:

[0006] Acquiring first geometric parameter information and material composition information of a target road surface segment, and constructing a first simulated road surface segment corresponding to the target road surface segment based on the first geometric parameter information and the material composition information;

[0007] Obtaining a maintenance plan for the target pavement segment, and performing simulated maintenance on the simulated pavement segment based on the maintenance plan to obtain a second simulated pavement segment;

[0008] Obtaining vehicle distribution information for the target pavement segment within a preset historical time period, and performing a cyclic load simulation on the second simulated pavement segment based on the vehicle distribution information to obtain a third simulated pavement segment; wherein the preset historical time period is the time period between the last time maintenance on the target pavement segment was completed and the current time;

[0009] Whether the maintenance plan is feasible is determined based on difference information between the first simulated road surface segment and the third simulated road surface segment.

[0010] In one possible implementation, the vehicle distribution information includes a plurality of historical driving path information, each historical driving path information corresponds to a driving vehicle, and each historical driving path information includes a historical entry time of the driving vehicle. The cyclic load simulation is performed on the second simulated road segment based on the vehicle distribution information to obtain a third simulated road segment, including:

[0011] Arranging each piece of the historical driving path information in sequence based on the historical entry time corresponding to each piece of the historical driving path information to obtain a historical driving path information sequence;

[0012] Dynamic loads are sequentially applied to the second simulated road surface segment based on the historical driving path information sequence to obtain a third simulated road surface segment.

[0013] In one possible implementation, each piece of historical driving path information includes a vehicle model and a historical driving trajectory of the vehicle. Applying a dynamic load to the second simulated road surface segment based on the sequence of historical driving path information to obtain a third simulated road surface segment includes:

[0014] When a dynamic load is applied to the second simulated road surface segment for any of the historical driving path information, a simulated vehicle is constructed based on the vehicle model corresponding to the historical driving path information, and the simulated vehicle is controlled to travel through the second simulated road surface segment at a preset speed based on the historical driving trajectory corresponding to the historical driving path information.

[0015] In a possible implementation, judging whether the maintenance plan is feasible based on the difference information between the first simulated road surface segment and the third simulated road surface segment includes:

[0016] Scanning the third simulated road surface segment by a virtual laser scanner to obtain second geometric parameter information corresponding to the third simulated road surface segment;

[0017] Acquire geometric difference information between the first geometric parameter information and the second geometric parameter information;

[0018] Determining whether the maintenance plan is feasible based on the geometric difference information;

[0019] If so, obtaining first stress distribution information corresponding to the first simulated road surface segment based on a preset finite element analysis algorithm, and obtaining second stress distribution information corresponding to the third simulated road surface segment based on the finite element analysis algorithm;

[0020] Whether the maintenance plan is feasible is determined based on the first stress distribution information and the second stress distribution information.

[0021] In a possible implementation, obtaining geometric difference information between the first geometric parameter information and the second geometric parameter information includes:

[0022] Inputting the first geometric parameter information into a preset geometric parameter feature extraction model to obtain a first feature vector, and inputting the second geometric parameter information into the geometric parameter feature extraction model to obtain a second feature vector; wherein the geometric parameter feature extraction model is a pre-trained deep learning model;

[0023] A similarity between the first eigenvector and the second eigenvector is obtained; the similarity is the geometric difference information.

[0024] In a possible implementation, inputting the first geometric parameter information into a preset geometric parameter feature extraction model to obtain a first feature vector includes:

[0025] Inputting the first geometric parameter information into a preset geometric parameter feature extraction model; wherein the geometric parameter feature extraction model includes an input layer, a hidden layer, and an output layer;

[0026] The input layer performs standardization processing on the first geometric parameter information based on a preset standardization processing rule to obtain first standard geometric parameter information;

[0027] The hidden layer performs a linear transformation on the first standard geometric parameter information based on a preset first linear transformation rule to obtain a linear transformation result, and performs an activation process on the linear transformation result based on a preset activation function to obtain an activation process result;

[0028] The output layer performs a linear transformation on the activation processing result based on a preset second linear transformation rule to obtain the first feature vector, and outputs the first feature vector.

[0029] In one possible implementation, obtaining first stress distribution information corresponding to the first simulated pavement segment based on a preset finite element analysis algorithm, and obtaining second stress distribution information corresponding to the third simulated pavement segment based on the finite element analysis algorithm, include:

[0030] Dividing the first simulated road surface segment into a plurality of first finite element units based on a preset grid division method;

[0031] Applying a static load to the segmented first simulated road surface segment based on a preset load application rule, and performing a stress analysis on each of the first finite element units based on a preset static solver during the process of applying the static load to the first simulated road surface segment to obtain a first stress value corresponding to each of the first finite element units;

[0032] Integrating the first stress values ​​corresponding to the first finite element units to obtain the first stress distribution information;

[0033] Dividing the third simulated road surface segment into a plurality of second finite element units based on a preset grid division method;

[0034] applying a static load to the segmented third simulated road surface segment based on a preset load application rule, and performing a stress analysis on each of the second finite element units based on a preset static solver during the process of applying the static load to the third simulated road surface segment to obtain a second stress value corresponding to each of the second finite element units;

[0035] The second stress values ​​corresponding to each of the second finite element units are integrated to obtain the second stress distribution information.

[0036] In a possible implementation, judging whether the maintenance plan is feasible based on the first stress distribution information and the second stress distribution information includes:

[0037] determining a first target stress value among the first stress values ​​of the first stress distribution information, and determining a second target stress value among the second stress values ​​of the second stress distribution information; wherein the first target stress value is a maximum stress value among the first stress values, and the second target stress value is a maximum stress value among the second stress values;

[0038] calculating a first absolute value of a difference between the first target stress value and the second target stress value, and comparing the first absolute value with a first preset absolute value;

[0039] If the first absolute value is not greater than the first preset absolute value, obtaining a first standard deviation between each of the first stress values, and obtaining a second standard deviation between each of the second stress values;

[0040] calculating a second absolute value of a difference between the first standard deviation and the second standard deviation, and comparing the second absolute value with a second preset absolute value;

[0041] If the second absolute value is not greater than the second preset absolute value, it is determined that the maintenance plan is feasible.

[0042] In a second aspect, the present application provides a road maintenance scheme feasibility determination system, comprising:

[0043] a first acquisition module, configured to acquire first geometric parameter information and material composition information of a target road surface segment, and construct a first simulated road surface segment corresponding to the target road surface segment based on the first geometric parameter information and the material composition information;

[0044] a second acquisition module, configured to acquire a maintenance plan for the target pavement segment, and perform simulated maintenance on the simulated pavement segment based on the maintenance plan to obtain a second simulated pavement segment;

[0045] a third acquisition module, configured to acquire vehicle distribution information of the target pavement segment within a preset historical time period, and perform a cyclic load simulation on the second simulated pavement segment based on the vehicle distribution information to obtain a third simulated pavement segment; wherein the preset historical time period is the time period between the last time maintenance of the target pavement segment was completed and the current time;

[0046] A judgment module is used to judge whether the maintenance plan is feasible based on the difference information between the first simulated road surface segment and the third simulated road surface segment.

[0047] The present application provides a method and system for determining the feasibility of a pavement maintenance plan, wherein the method includes: obtaining first geometric parameter information and material composition information of a target pavement segment, and constructing a first simulated pavement segment corresponding to the target pavement segment based on the first geometric parameter information and the material composition information; obtaining a maintenance plan for the target pavement segment, and performing a simulated maintenance on the simulated pavement segment based on the maintenance plan to obtain a second simulated pavement segment; obtaining vehicle distribution information for the target pavement segment within a preset historical time period, and performing a cyclic load simulation on the second simulated pavement segment based on the vehicle distribution information to obtain a third simulated pavement segment; wherein the preset historical time period is the time period between the last time the target pavement segment was maintained and the current time; and determining whether the maintenance plan is feasible based on the difference information between the first simulated pavement segment and the third simulated pavement segment. This method can scientifically predict the feasibility of the maintenance plan for the target pavement segment before maintaining the target pavement segment, and can help engineers design a reasonable maintenance plan for the target pavement segment, thereby improving the maintenance effect of the target pavement segment. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0049] Figure 1 A schematic flow chart of a method for determining the feasibility of a pavement maintenance solution provided in an embodiment of the present application;

[0050] Figure 2 A schematic block diagram of the structure of a pavement maintenance solution feasibility determination system provided in an embodiment of the present application;

[0051] Figure 3 A schematic block diagram of the structure of a terminal device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0052] 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 them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0053] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, combined, or partially merged, so the actual execution order may change based on actual circumstances.

[0054] It should also be understood that the terms used in this specification are for the purpose of describing specific embodiments only and are not intended to limit the present application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0055] It should be further understood that the term "and / or" used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0056] In the modern transportation system, the maintenance and upkeep of road infrastructure is crucial for ensuring safe and smooth traffic. As roads age and traffic volumes continue to grow, various forms of road surface damage, such as cracks, potholes, and rutting, inevitably occur. These pavement defects not only affect driving comfort and safety but also accelerate vehicle wear and tear, increasing the likelihood of traffic accidents. Therefore, the scientific evaluation and implementation of road maintenance programs has become a crucial topic in road engineering research.

[0057] Traditional pavement maintenance methods rely primarily on empirical judgment and on-site testing. However, these methods cannot accurately predict maintenance outcomes, which can easily lead to maintenance plans that do not match the actual pavement conditions, resulting in poor maintenance results. Therefore, a method for determining the feasibility of pavement maintenance plans is needed to pre-judge the feasibility of maintenance plans before maintenance is performed. To this end, embodiments of the present application provide a method and system for determining the feasibility of pavement maintenance plans to address the aforementioned issues.

[0058] The following describes some embodiments of the present application in detail with reference to the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments may be combined with each other.

[0059] See also Figure 1 , Figure 1 A flow chart of a method for determining the feasibility of a pavement maintenance solution provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the method for determining the feasibility of a pavement maintenance plan provided in an embodiment of the present application includes steps S1 to S4.

[0060] Step S1: Acquire first geometric parameter information and material composition information of a target road surface segment, and construct a first simulated road surface segment corresponding to the target road surface segment based on the first geometric parameter information and the material composition information.

[0061] Specifically, first, first geometric parameter information of the target pavement segment is obtained using a preset 3D scanner, and material composition information of the target pavement segment is obtained from a construction information database of the target pavement segment. Then, the first geometric parameter information is input into preset pavement design and analysis software (Pavement ME Design or AutoCAD Civil 3D) to construct a 3D model corresponding to the target pavement segment, and the material composition information is assigned to the 3D model to obtain the first simulated pavement segment. The pavement design and analysis software is either Pavement ME Design or AutoCAD Civil 3D.

[0062] Step S2: Obtain a maintenance plan for the target pavement segment, and perform simulated maintenance on the simulated pavement segment based on the maintenance plan to obtain a second simulated pavement segment.

[0063] The maintenance plan is designed by engineers after analyzing each road defect in the target road section. The maintenance plan includes the repair method and materials for each road defect. It is understood that each road defect in the target road section corresponds to a simulated road defect in the second simulated road section.

[0064] Specifically, first, the maintenance plan input by the engineer is obtained, and then, for each simulated road defect in the second simulated pavement section, the simulated road defect is simulated maintained based on the repair method and repair material corresponding to the road defect in the maintenance plan.

[0065] Step S3: Obtain vehicle distribution information for the target pavement segment within a preset historical time period, and perform a cyclic load simulation on the second simulated pavement segment based on the vehicle distribution information to obtain a third simulated pavement segment; wherein the preset historical time period is the time period between the last time maintenance on the target pavement segment was completed and the current time.

[0066] Specifically, the vehicle distribution information includes a plurality of historical driving path information, each historical driving path information corresponds to a driving vehicle, and each historical driving path information includes a historical entry time of the driving vehicle. The cyclic load simulation is performed on the second simulated road segment based on the vehicle distribution information to obtain a third simulated road segment, including the following steps:

[0067] Arranging each piece of the historical driving path information in sequence based on the historical entry time corresponding to each piece of the historical driving path information to obtain a historical driving path information sequence;

[0068] Dynamic loads are sequentially applied to the second simulated road surface segment based on the historical driving path information sequence to obtain a third simulated road surface segment.

[0069] Each of the historical driving path information includes a vehicle model and a historical driving trajectory of the vehicle. The step of applying a dynamic load to the second simulated road surface segment based on the sequence of the historical driving path information to obtain a third simulated road surface segment includes:

[0070] When a dynamic load is applied to the second simulated road surface segment based on any of the historical driving path information, a simulated vehicle is constructed based on the vehicle model corresponding to the historical driving path information, and the simulated vehicle is controlled to travel through the second simulated road surface segment at a preset speed based on the historical driving trajectory corresponding to the historical driving path information. Specifically, a simulated driving trajectory corresponding to the historical driving path information is first determined on the second simulated road surface segment, and then the simulated vehicle is controlled to travel through the simulated driving trajectory at a preset speed.

[0071] It can be understood that the above method obtains the third simulated pavement segment by applying dynamic loads to the second simulated pavement segment in sequence based on the historical driving path information sequence, which can truly reproduce the dynamic effects of the vehicle on the second simulated pavement segment and help improve the accuracy of the feasibility judgment method of the pavement maintenance plan.

[0072] Step S4: Determine whether the maintenance plan is feasible based on the difference information between the first simulated pavement segment and the third simulated pavement segment.

[0073] Specifically, step S4 includes the following steps:

[0074] Scanning the third simulated road surface segment by a virtual laser scanner to obtain second geometric parameter information corresponding to the third simulated road surface segment;

[0075] Acquire geometric difference information between the first geometric parameter information and the second geometric parameter information;

[0076] Determining whether the maintenance plan is feasible based on the geometric difference information;

[0077] If so, obtaining first stress distribution information corresponding to the first simulated road surface segment based on a preset finite element analysis algorithm, and obtaining second stress distribution information corresponding to the third simulated road surface segment based on the finite element analysis algorithm;

[0078] Whether the maintenance plan is feasible is determined based on the first stress distribution information and the second stress distribution information.

[0079] It can be understood that after the above-mentioned scheme determines that the maintenance plan is feasible based on the geometric difference information, the first stress distribution information corresponding to the first simulated pavement segment is obtained based on a preset finite element analysis algorithm, and the second stress distribution information corresponding to the third simulated pavement segment is obtained based on the finite element analysis algorithm, and whether the maintenance plan is feasible is determined based on the first stress distribution information and the second stress distribution information, thereby improving the accuracy of the judgment result.

[0080] The step of obtaining geometric difference information between the first geometric parameter information and the second geometric parameter information comprises the following steps:

[0081] Inputting the first geometric parameter information into a preset geometric parameter feature extraction model to obtain a first feature vector, and inputting the second geometric parameter information into the geometric parameter feature extraction model to obtain a second feature vector; wherein the geometric parameter feature extraction model is a pre-trained deep learning model;

[0082] A similarity between the first eigenvector and the second eigenvector is obtained; the similarity is the geometric difference information.

[0083] The step of inputting the first geometric parameter information into a preset geometric parameter feature extraction model to obtain a first feature vector, and inputting the second geometric parameter information into the geometric parameter feature extraction model to obtain a second feature vector comprises the following steps:

[0084] Inputting the first geometric parameter information into a preset geometric parameter feature extraction model; wherein the geometric parameter feature extraction model includes an input layer, a hidden layer, and an output layer;

[0085] The input layer performs standardization processing on the first geometric parameter information based on a preset standardization processing rule to obtain first standard geometric parameter information;

[0086] The hidden layer performs a linear transformation on the first standard geometric parameter information based on a preset first linear transformation rule to obtain a linear transformation result, and performs activation processing on the linear transformation result based on a preset activation function to obtain an activation processing result; wherein the activation function is any one of ReLU, Sigmoid, or Tanh;

[0087] The output layer performs a linear transformation on the activation processing result based on a preset second linear transformation rule to obtain the first feature vector, and outputs the first feature vector;

[0088] Inputting the second geometric parameter information into a preset geometric parameter feature extraction model; wherein the geometric parameter feature extraction model includes an input layer, a hidden layer, and an output layer;

[0089] The input layer performs standardization processing on the first geometric parameter information based on a preset standardization processing rule to obtain second standard geometric parameter information;

[0090] The hidden layer performs a linear transformation on the first standard geometric parameter information based on a preset first linear transformation rule to obtain a linear transformation result, and performs activation processing on the linear transformation result based on a preset activation function to obtain an activation processing result; wherein the activation function is any one of ReLU, Sigmoid, or Tanh;

[0091] The output layer performs a linear transformation on the activation processing result based on a preset second linear transformation rule to obtain the second feature vector, and outputs the second feature vector.

[0092] The step of determining whether the maintenance plan is feasible based on the geometric difference information includes the following steps:

[0093] comparing the similarity with a preset similarity;

[0094] If the similarity is not less than the preset similarity, the maintenance plan is determined to be feasible;

[0095] If the similarity is less than the preset similarity, it is determined that the maintenance plan is not feasible.

[0096] The obtaining of first stress distribution information corresponding to the first simulated pavement segment based on a preset finite element analysis algorithm, and the obtaining of second stress distribution information corresponding to the third simulated pavement segment based on the finite element analysis algorithm, include the following steps:

[0097] Dividing the first simulated road surface segment into a plurality of first finite element units based on a preset grid division method;

[0098] Applying a static load to the segmented first simulated road surface segment based on a preset load application rule, and performing a stress analysis on each of the first finite element units based on a preset static solver during the process of applying the static load to the first simulated road surface segment to obtain a first stress value corresponding to each of the first finite element units;

[0099] Integrating the first stress values ​​corresponding to the first finite element units to obtain the first stress distribution information;

[0100] Dividing the third simulated road surface segment into a plurality of second finite element units based on a preset grid division method;

[0101] applying a static load to the segmented third simulated road surface segment based on a preset load application rule, and performing a stress analysis on each of the second finite element units based on a preset static solver during the process of applying the static load to the third simulated road surface segment to obtain a second stress value corresponding to each of the second finite element units;

[0102] The second stress values ​​corresponding to each of the second finite element units are integrated to obtain the second stress distribution information.

[0103] Wherein, judging whether the maintenance plan is feasible based on the first stress distribution information and the second stress distribution information includes the following steps:

[0104] determining a first target stress value among the first stress values ​​of the first stress distribution information, and determining a second target stress value among the second stress values ​​of the second stress distribution information; wherein the first target stress value is a maximum stress value among the first stress values, and the second target stress value is a maximum stress value among the second stress values;

[0105] calculating a first absolute value of a difference between the first target stress value and the second target stress value, and comparing the first absolute value with a first preset absolute value;

[0106] If the first absolute value is not greater than the first preset absolute value, obtaining a first standard deviation between each of the first stress values, and obtaining a second standard deviation between each of the second stress values;

[0107] calculating a second absolute value of a difference between the first standard deviation and the second standard deviation, and comparing the second absolute value with a second preset absolute value;

[0108] If the second absolute value is not greater than the second preset absolute value, it is determined that the maintenance plan is feasible.

[0109] The method provided in this embodiment can scientifically predict the feasibility of the maintenance plan for the target pavement section before maintaining the target pavement section, and can help engineers design a reasonable maintenance plan for the target pavement section to improve the maintenance effect of the target pavement section.

[0110] See also Figure 2 , Figure 2 The schematic block diagram of the structure of the road maintenance scheme feasibility judgment system 100 provided in the embodiment of the present application is as follows: Figure 2 As shown, the pavement maintenance plan feasibility determination system 100 includes:

[0111] The first acquisition module 110 is configured to acquire first geometric parameter information and material composition information of a target road surface segment, and construct a first simulated road surface segment corresponding to the target road surface segment based on the first geometric parameter information and the material composition information.

[0112] The second acquisition module 120 is configured to acquire a maintenance plan for the target road surface segment, and perform simulated maintenance on the simulated road surface segment based on the maintenance plan to obtain a second simulated road surface segment.

[0113] The third acquisition module 130 is used to obtain vehicle distribution information of the target pavement segment within a preset historical time period, and perform a cyclic load simulation on the second simulated pavement segment based on the vehicle distribution information to obtain a third simulated pavement segment; wherein the preset historical time period is the time period between the time when the maintenance of the target pavement segment was last completed and the current time.

[0114] The judgment module 140 is configured to judge whether the maintenance plan is feasible based on the difference information between the first simulated road surface segment and the third simulated road surface segment.

[0115] It should be noted that, those skilled in the art will clearly understand that, for the sake of convenience and brevity in description, the specific working processes of the above-described devices and modules can refer to the corresponding processes in the aforementioned embodiment of the feasibility judgment method for the pavement maintenance scheme, and will not be repeated here.

[0116] The pavement maintenance scheme feasibility judgment system 100 provided in the above embodiment can be implemented in the form of a computer program. The computer program can be used in Figure 3 The system runs on the terminal device 200 shown.

[0117] See also Figure 3 , Figure 3This is a schematic block diagram of the structure of a terminal device 200 provided in an embodiment of the present application. The terminal device 200 includes a processor 201 and a memory 202. The processor 201 and the memory 202 are connected via a device bus 203, wherein the memory 202 may include a non-volatile storage medium and an internal memory.

[0118] The non-volatile storage medium may store a computer program including program instructions, which, when executed by the processor 201, may cause the processor 201 to execute any of the above-mentioned methods for determining the feasibility of a pavement maintenance plan.

[0119] The processor 201 is used to provide computing and control capabilities to support the operation of the entire terminal device 200.

[0120] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor 201, the processor 201 can execute any of the above-mentioned methods for determining the feasibility of a pavement maintenance plan.

[0121] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the terminal device 200 involved in the solution of the present application. The specific terminal device 200 may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0122] It should be understood that the processor 201 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0123] In some embodiments, the processor 201 is configured to execute a computer program stored in the memory to implement the following steps:

[0124] Acquiring first geometric parameter information and material composition information of a target road surface segment, and constructing a first simulated road surface segment corresponding to the target road surface segment based on the first geometric parameter information and the material composition information;

[0125] Obtaining a maintenance plan for the target pavement segment, and performing simulated maintenance on the simulated pavement segment based on the maintenance plan to obtain a second simulated pavement segment;

[0126] Obtaining vehicle distribution information for the target pavement segment within a preset historical time period, and performing a cyclic load simulation on the second simulated pavement segment based on the vehicle distribution information to obtain a third simulated pavement segment; wherein the preset historical time period is the time period between the last time maintenance on the target pavement segment was completed and the current time;

[0127] Whether the maintenance plan is feasible is determined based on difference information between the first simulated road surface segment and the third simulated road surface segment.

[0128] It should be noted that, those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the terminal device 200 described above can refer to the corresponding process of the aforementioned pavement maintenance scheme feasibility judgment method, and will not be repeated here.

[0129] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by one or more processors, the one or more processors implement the feasibility judgment method of the pavement maintenance plan provided in the embodiment of the present application.

[0130] The computer-readable storage medium may be an internal storage unit of the terminal device 200 in the aforementioned embodiment, such as a hard disk or memory of the terminal device 200. The computer-readable storage medium may also be an external storage device of the terminal device 200, such as a plug-in hard disk, a smart memory card (SMC), a secure digital (SD) card, a flash card, etc. equipped with the terminal device 200.

[0131] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present application, and such modifications or substitutions should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A method for determining the feasibility of a pavement maintenance plan, characterized in that: include: Acquire first geometric parameter information and material composition information of a target road surface segment, and construct a first simulated road surface segment corresponding to the target road surface segment based on the first geometric parameter information and the material composition information; Acquiring a maintenance plan for the target road surface segment, and performing simulated maintenance on the simulated road surface segment based on the maintenance plan to obtain a second simulated road surface segment; Obtaining vehicle distribution information of the target road section within a preset historical time period, and performing cyclic load simulation on the second simulated road section based on the vehicle distribution information to obtain a third simulated road section; wherein the preset historical time period is a time period between the time when the maintenance of the target road section was last completed and the current time; Determining whether the maintenance plan is feasible based on difference information between the first simulated pavement segment and the third simulated pavement segment; Wherein, judging whether the maintenance plan is feasible based on the difference information between the first simulated pavement segment and the third simulated pavement segment includes: Scanning the third simulated road section by a virtual laser scanner to obtain second geometric parameter information corresponding to the third simulated road section; Acquire geometric difference information between the first geometric parameter information and the second geometric parameter information; Determining whether the maintenance plan is feasible based on the geometric difference information; If so, obtaining first stress distribution information corresponding to the first simulated pavement segment based on a preset finite element analysis algorithm, and obtaining second stress distribution information corresponding to the third simulated pavement segment based on the finite element analysis algorithm; Determining whether the maintenance plan is feasible based on the first stress distribution information and the second stress distribution information; The acquiring geometric difference information between the first geometric parameter information and the second geometric parameter information includes: Inputting the first geometric parameter information into a preset geometric parameter feature extraction model to obtain a first feature vector, and inputting the second geometric parameter information into the geometric parameter feature extraction model to obtain a second feature vector; wherein the geometric parameter feature extraction model is a pre-trained deep learning model; Acquire the similarity between the first feature vector and the second feature vector; the similarity is the geometric difference information; The determining whether the maintenance plan is feasible based on the geometric difference information includes: comparing the similarity with a preset similarity; If the similarity is not less than the preset similarity, it is determined that the maintenance plan is feasible; If the similarity is less than the preset similarity, it is determined that the maintenance plan is not feasible.

2. The method for determining the feasibility of a pavement maintenance plan according to claim 1, characterized in that: The vehicle distribution information includes a plurality of historical driving path information, each of which corresponds to a driving vehicle, and each of which includes a historical entry time of the driving vehicle. The cyclic load simulation is performed on the second simulated road segment based on the vehicle distribution information to obtain a third simulated road segment, including: Arranging each of the historical driving path information in sequence based on the historical entry time corresponding to each of the historical driving path information to obtain a historical driving path information sequence; Dynamic loads are sequentially applied to the second simulated road surface segment based on the historical driving path information sequence to obtain a third simulated road surface segment.

3. The method for determining the feasibility of a pavement maintenance plan according to claim 2, characterized in that: Each of the historical driving path information includes a vehicle model of a driving vehicle and a historical driving track of the driving vehicle. The method of applying a dynamic load to the second simulated road surface segment in sequence based on the historical driving path information sequence to obtain a third simulated road surface segment includes: When a dynamic load is applied to the second simulated road surface segment for any of the historical driving path information, a simulated vehicle is constructed based on the vehicle model corresponding to the historical driving path information, and the simulated vehicle is controlled to pass through the second simulated road surface segment at a preset speed based on the historical driving trajectory corresponding to the historical driving path information.

4. The method for determining the feasibility of a pavement maintenance plan according to claim 1, characterized in that: The step of inputting the first geometric parameter information into a preset geometric parameter feature extraction model to obtain a first feature vector includes: Inputting the first geometric parameter information into a preset geometric parameter feature extraction model; wherein the geometric parameter feature extraction model includes an input layer, a hidden layer and an output layer; The input layer performs standardization processing on the first geometric parameter information based on a preset standardization processing rule to obtain first standard geometric parameter information; The hidden layer performs a linear transformation on the first standard geometric parameter information based on a preset first linear transformation rule to obtain a linear transformation result, and performs an activation process on the linear transformation result based on a preset activation function to obtain an activation process result; The output layer performs a linear transformation on the activation processing result based on a preset second linear transformation rule to obtain the first feature vector, and outputs the first feature vector.

5. The method for determining the feasibility of a pavement maintenance plan according to claim 1, characterized in that: The obtaining of first stress distribution information corresponding to the first simulated road surface segment based on a preset finite element analysis algorithm, and obtaining of second stress distribution information corresponding to the third simulated road surface segment based on the finite element analysis algorithm, includes: Dividing the first simulated road surface segment into a plurality of first finite element units based on a preset grid division method; Applying a static load to the segmented first simulated road surface segment based on a preset load application rule, and in the process of applying the static load to the first simulated road surface segment, performing stress analysis on each of the first finite element units based on a preset static solver to obtain a first stress value corresponding to each of the first finite element units; Integrate the first stress values ​​corresponding to the first finite element units to obtain the first stress distribution information; Dividing the third simulated road surface segment into a plurality of second finite element units based on a preset grid division method; Applying a static load to the segmented third simulated road surface segment based on a preset load application rule, and in the process of applying the static load to the third simulated road surface segment, performing stress analysis on each of the second finite element units based on a preset static solver to obtain a second stress value corresponding to each of the second finite element units; The second stress values ​​corresponding to each of the second finite element units are integrated to obtain the second stress distribution information.

6. The method for determining the feasibility of a pavement maintenance plan according to claim 5, characterized in that: The determining whether the maintenance plan is feasible based on the first stress distribution information and the second stress distribution information includes: Determine a first target stress value among the first stress values ​​of the first stress distribution information, and determine a second target stress value among the second stress values ​​of the second stress distribution information; wherein the first target stress value is the maximum stress value among the first stress values, and the second target stress value is the maximum stress value among the second stress values; Calculating a first absolute value of a difference between the first target stress value and the second target stress value, and comparing the first absolute value with a first preset absolute value; If the first absolute value is not greater than the first preset absolute value, obtaining a first standard deviation between each of the first stress values, and obtaining a second standard deviation between each of the second stress values; Calculating a second absolute value of a difference between the first standard deviation and the second standard deviation, and comparing the second absolute value with a second preset absolute value; If the second absolute value is not greater than the second preset absolute value, it is determined that the maintenance plan is feasible.

7. A road maintenance scheme feasibility judgment system, characterized in that: include: A first acquisition module, used to acquire first geometric parameter information and material composition information of a target road surface segment, and construct a first simulated road surface segment corresponding to the target road surface segment based on the first geometric parameter information and the material composition information; a second acquisition module, configured to acquire a maintenance plan for the target road surface segment, and perform simulated maintenance on the simulated road surface segment based on the maintenance plan to obtain a second simulated road surface segment; a third acquisition module, configured to acquire vehicle distribution information of the target road section within a preset historical time period, and perform cyclic load simulation on the second simulated road section based on the vehicle distribution information to obtain a third simulated road section; wherein the preset historical time period is a time period between the time when the maintenance of the target road section was last completed and the current time; A judgment module, configured to judge whether the maintenance plan is feasible based on difference information between the first simulated road surface segment and the third simulated road surface segment; Wherein, judging whether the maintenance plan is feasible based on the difference information between the first simulated pavement segment and the third simulated pavement segment includes: Scanning the third simulated road section by a virtual laser scanner to obtain second geometric parameter information corresponding to the third simulated road section; Acquire geometric difference information between the first geometric parameter information and the second geometric parameter information; Determining whether the maintenance plan is feasible based on the geometric difference information; If so, obtaining first stress distribution information corresponding to the first simulated pavement segment based on a preset finite element analysis algorithm, and obtaining second stress distribution information corresponding to the third simulated pavement segment based on the finite element analysis algorithm; Determining whether the maintenance plan is feasible based on the first stress distribution information and the second stress distribution information; The acquiring geometric difference information between the first geometric parameter information and the second geometric parameter information includes: Inputting the first geometric parameter information into a preset geometric parameter feature extraction model to obtain a first feature vector, and inputting the second geometric parameter information into the geometric parameter feature extraction model to obtain a second feature vector; wherein the geometric parameter feature extraction model is a pre-trained deep learning model; Acquire the similarity between the first feature vector and the second feature vector; the similarity is the geometric difference information; The determining whether the maintenance plan is feasible based on the geometric difference information includes: comparing the similarity with a preset similarity; If the similarity is not less than the preset similarity, it is determined that the maintenance plan is feasible; If the similarity is less than the preset similarity, it is determined that the maintenance plan is not feasible.

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