Method, system and equipment for aging grade analysis and maintenance of modified asphalt pavement

Abstract

The invention discloses a modified asphalt pavement aging grade analysis and maintenance method, system and equipment, and relates to the technical field of pavement performance analysis. The aging grade analysis and maintenance method for the modified asphalt pavement comprises the following steps: classifying aging grades of the asphalt pavement; the crushing uniformity is optimized; and asphalt pavement maintenance analysis. Asphalt pavement aging grade classification is carried out through the obtained pavement aging evaluation parameters, whether crushing uniformity analysis is carried out or not is judged, if crushing uniformity analysis is carried out, whether crushing uniformity optimization is carried out or not is judged based on crushing uniformity data, and if crushing uniformity analysis is not carried out, asphalt pavement maintenance analysis is carried out. The effect of improving the effectiveness of crushing uniformity in the aging grade analysis and maintenance process of the modified asphalt pavement is achieved, and the problem that the influence of crushing uniformity is not fully considered in the aging grade analysis and maintenance process of the modified asphalt pavement in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of pavement performance analysis, and particularly to a method, system and equipment for analyzing the aging grade and maintaining a modified asphalt pavement. Background Art

[0002] With the acceleration of the urbanization process, asphalt pavements have become the mainstream choice for urban traffic construction due to their characteristics such as smoothness, dust prevention, and shock absorption. However, during the use of asphalt pavements, due to long-term exposure to the natural environment and being affected by various factors such as light, temperature, moisture, and oxygen, the asphalt will age, resulting in the attenuation of pavement performance and the occurrence of diseases such as cracks, looseness, and potholes, seriously affecting road traffic safety and service life. In the process of asphalt pavement maintenance analysis using asphalt concrete pavements, resonant crushing is a key technology. However, due to the complexity and diversity of pavement structure conditions, uneven crushing often occurs in local areas during the resonant crushing process.

[0003] Existing methods mainly adaptively adjust construction parameters such as the frequency, amplitude, and traveling speed of the resonant crusher according to the pavement conditions of the old pavement.

[0004] For example, a method for evaluating the aging performance of asphalt disclosed in the invention patent announcement with the publication number of CN105842239B includes: Step 1, obtaining a 3D scan image of the asphalt pavement to be evaluated, and extracting all sunken areas and all non-sunken areas from the 3D scan image; Step 2, selecting multiple detection sites in the non-sunken areas and sunken areas, and collecting samples to be evaluated from each detection site on the asphalt pavement to be evaluated; Step 3, preparing a suspension of the samples to be evaluated; Step 4, measuring the methylene blue adsorption amount.

[0005] For example, a method for monitoring the aging condition of asphalt pavement based on remote sensing images disclosed in the invention patent announcement with the publication number of CN106124454B includes: selecting a multi-spectral satellite remote sensing image containing spectral bands of asphalt aging characteristics, classifying the endmembers in the remote sensing image, establishing an initial endmember spectral library, optimizing the endmember spectra of each land cover type, and running a multi-endmember linear mixture pixel decomposition model to obtain the pixel abundance values of each type of endmember.

[0006] However, in the process of implementing the technical solutions of the present invention in the embodiments of the present application, it is found that the above technologies have at least the following technical problems:

[0007] In the prior art, when analyzing the maintenance of asphalt pavements using asphalt concrete pavements, it is necessary to perform resonant rubblization on the old pavement. Due to the influence of pavement structure conditions, it is easy to cause uneven crushing in local areas, affecting the uniformity of the asphalt layer, resulting in a decrease in the accuracy of resonant rubblization data, and leading to the problem that the influence of crushing uniformity is not fully considered in the analysis of the aging grade and maintenance process of modified asphalt pavements. Summary of the Invention

[0008] By providing a method, system and device for analyzing and maintaining the aging grade of modified asphalt pavements, the embodiments of the present application solve the problem that the influence of crushing uniformity is not fully considered in the analysis of the aging grade and maintenance process of modified asphalt pavements in the prior art, and achieve an improvement in the effectiveness of uniform crushing in the analysis and maintenance process of the aging grade of modified asphalt pavements.

[0009] The embodiments of the present application provide a method for analyzing and maintaining the aging grade of modified asphalt pavements, including the following steps: S1, classifying the aging grade of the asphalt pavement based on the obtained pavement aging evaluation parameters, and determining whether to perform an analysis of crushing uniformity; S2, if an analysis of crushing uniformity is to be performed, determining whether to optimize the crushing uniformity based on the crushing uniformity data; S3, if an analysis of crushing uniformity is not to be performed, performing an analysis of asphalt pavement maintenance.

[0010] Furthermore, the pavement aging evaluation parameters include the average pavement thickness, average pavement compressive strength, average pavement crack width, average pavement crack depth, and average pavement deflection value. The specific process for classifying the asphalt pavement aging grade based on the obtained pavement aging evaluation parameters is as follows: After analyzing the degree of approximation between the preset average pavement thickness and the average pavement thickness, combined with the average deflection influence factor and the preset thickness reflection weight, a weighted operation is performed to obtain the deflection-thickness reflection value, which is used to reflect the influence of the average pavement thickness and the average deflection influence factor on the pavement aging degree; After analyzing the degree of approximation between the preset average pavement compressive strength and the average pavement compressive strength, combined with the average deflection influence factor and the preset compressive strength reflection weight, a weighted operation is performed to obtain the deflection-compressive strength reflection value, which is used to reflect the influence of the average pavement compressive strength and the average deflection influence factor on the pavement aging degree; After analyzing the degree of approximation between the average pavement crack width and the preset average pavement crack width, combined with the average deflection influence factor and the preset crack width reflection weight, a weighted operation is performed to obtain the deflection-crack width reflection value, which is used to reflect the influence of the average pavement crack width and the average deflection influence factor on the pavement aging degree; After analyzing the degree of approximation between the average pavement crack depth and the preset average pavement crack depth, combined with the average deflection influence factor and the preset crack depth reflection weight, a weighted operation is performed to obtain the deflection-crack depth reflection value, which is used to reflect the influence of the average pavement crack depth and the average deflection influence factor on the pavement aging degree; After performing coupling processing on the deflection reflection data group, a significant deflection difference analysis is carried out, and then a weighted operation is performed with the preset deflection reflection weight to obtain the pavement aging evaluation value. The pavement aging evaluation value is used to reflect the situation where the pavement aging evaluation parameters and the preset pavement aging evaluation parameters jointly act on the pavement aging degree; The deflection reflection data group includes the deflection-thickness reflection value, deflection-compressive strength reflection value, deflection-crack width reflection value, and deflection-crack depth reflection value.

[0011] Furthermore, the specific process for determining whether to perform the crushing uniformity analysis is as follows: The pavement aging evaluation value and the preset pavement aging evaluation threshold obtained from the database are subjected to a difference operation to obtain the pavement aging judgment value; When the pavement aging judgment value is greater than 0, the corresponding test pavement is marked as a first-level aging pavement, and the crushing uniformity analysis is performed; When the pavement aging judgment value is not greater than 0, the corresponding test pavement is marked as a second-level aging pavement, and the crushing uniformity analysis is not performed.

[0012] Further, the specific process of analyzing the fragmentation uniformity is as follows: The strength difference value is obtained by analyzing the deviation degree between the compressive strength value and the preset compressive strength value obtained from the database. When the monitored strength difference value is not greater than the preset difference value, the corresponding first qualified data set is directly obtained, and the pavement fragmentation uniformity is evaluated; when the monitored strength difference value is greater than the preset difference value, a first control signal is sent as a prompt to the resonant rubblization machine; the first control signal includes a first vibration frequency control signal and a first amplitude control signal; the first qualified data set includes a qualified vibration frequency and a qualified amplitude.

[0013] Further, the specific process of evaluating the pavement fragmentation uniformity is as follows: After analyzing the approaching degree between the qualified amplitude and the preset qualified amplitude, a particle size-amplitude reflection value is obtained through weighted operation by combining the particle size influence factor and the preset amplitude reflection weight, which is used to reflect the comprehensive effect of the qualified amplitude and the average particle size on the pavement rubblization uniformity; after analyzing the approaching degree between the qualified vibration frequency and the preset qualified vibration frequency, a particle size-vibration frequency reflection value is obtained through weighted operation by combining the particle size influence factor and the preset vibration frequency reflection weight, which is used to reflect the comprehensive effect of the qualified vibration frequency and the average particle size on the pavement rubblization uniformity; after analyzing the approaching degree between the preset average mechanical traveling speed and the average mechanical traveling speed, a particle size-traveling speed reflection value is obtained through weighted operation by combining the particle size influence factor and the preset traveling speed reflection weight, which is used to reflect the comprehensive effect of the average mechanical traveling speed and the average particle size on the pavement rubblization uniformity; the fragmentation uniformity data is subjected to coupling processing to obtain a fragmentation uniformity value, which is used to reflect the comprehensive effect of the fragmentation uniformity parameters and the preset fragmentation uniformity parameters on the pavement rubblization uniformity. The fragmentation uniformity data includes the particle size-amplitude reflection value, the particle size-vibration frequency reflection value, and the particle size-traveling speed reflection value. The fragmentation uniformity parameters include the qualified amplitude, the qualified vibration frequency, the average mechanical traveling speed, and the average particle size.

[0014] Further, the specific process of determining whether to optimize the crushing uniformity based on the crushing uniformity data is as follows: When the crushing uniformity value is within the preset crushing uniformity range obtained from the database, no crushing uniformity optimization is performed, and asphalt pavement maintenance analysis is carried out; when the crushing uniformity value is not within the preset crushing uniformity range obtained from the database, crushing uniformity optimization is performed; the specific process of crushing uniformity optimization is as follows: First step, send a prompt for secondary crushing treatment; Second step, send a second control signal prompt to the resonant rubblization machine. When the monitored crushing uniformity value is within the preset crushing uniformity range obtained from the database, stop the crushing uniformity optimization and obtain the corresponding and homogenization qualified parameters; The second control signal prompt includes a second vibration frequency control signal, a second amplitude control signal, a hammer head width control signal, and a traveling speed control signal; The homogenization qualified parameters include the vibration frequency of the resonant rubblization machine, the amplitude of the resonant rubblization machine, the hammer head width of the resonant rubblization machine, and the traveling speed of the resonant rubblization machine corresponding to the crushing uniformity value within the preset crushing uniformity range.

[0015] Further, the specific process of asphalt pavement maintenance analysis is as follows: Based on the homogenization qualified parameters, re - conduct crushing uniformity analysis on the test pavement and determine whether the pavement uniformity is qualified; When the crushing uniformity value corresponding to the test section where the crushing uniformity analysis is re - conducted is within the preset crushing uniformity range, carry out asphalt pavement maintenance analysis: Asphalt pavement maintenance analysis includes rolling parameter setting and maintenance of the pavement to be rolled; Rolling parameter setting means sending a third control signal to the resonant rubblization machine to obtain qualified rolling parameters; The third control signal includes a rolling times control signal and a rolling speed control signal.

[0016] Further, the specific process of maintaining the pavement to be rolled is as follows: When the moisture content of the mixture meets the water - content qualified condition, carry out maintenance operations, otherwise send a prompt to re - obtain the mixture; The water - content qualified condition means that the moisture content of the mixture is within the preset moisture content range; The specific steps of the maintenance operation are as follows: AA1, send a rolling prompt to the preset personnel; AA2, send a prompt to set the surface temperature of the asphalt pavement to the preset personnel when the surface temperature of the asphalt pavement is lower than the preset temperature obtained from the database; AA3, send an open - to - traffic prompt to the preset personnel, and after a preset time period, send a pavement - cleaning prompt to the preset personnel.

[0017] An embodiment of the present application provides a modified asphalt pavement aging grade analysis and maintenance system, including an asphalt pavement aging grade classification module, a crushing uniformity optimization module, and an asphalt pavement maintenance analysis module: Among them, the asphalt pavement aging grade classification module is used to classify the aging grade of the asphalt pavement based on the obtained pavement aging evaluation parameters and determine whether to perform crushing uniformity analysis; the crushing uniformity optimization module is used to determine whether to perform crushing uniformity optimization based on the crushing uniformity data if crushing uniformity analysis is to be performed; the asphalt pavement maintenance analysis module is used to perform asphalt pavement maintenance analysis if crushing uniformity analysis is not to be performed.

[0018] An embodiment of the present application provides an electronic device, characterized in that the electronic device includes a memory for storing computer program instructions and a processor for executing the program instructions. Among them, when the computer program instructions are executed by the processor, the electronic device is triggered to execute a method for analyzing and maintaining the aging grade of a modified asphalt pavement.

[0019] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0020] 1. Classify the aging grade of the asphalt pavement through the obtained pavement aging evaluation parameters and determine whether to perform crushing uniformity analysis. If crushing uniformity analysis is to be performed, determine whether to perform crushing uniformity optimization based on the crushing uniformity data. If crushing uniformity analysis is not to be performed, perform asphalt pavement maintenance analysis, thereby improving the accuracy of crushing uniformity analysis and asphalt pavement maintenance analysis, and further improving the effectiveness of crushing uniformity in the process of analyzing and maintaining the aging grade of the modified asphalt pavement, effectively solving the problem that the influence of crushing uniformity is not fully considered in the process of analyzing and maintaining the aging grade of the modified asphalt pavement in the prior art.

[0021] 2. After coupling processing the deflection reflection data group, perform significant deflection difference analysis, then perform weighted operation with the preset deflection reflection weight to obtain the pavement aging evaluation value, and finally perform coupling processing on the crushing uniformity data to obtain the crushing uniformity value, thereby realizing the accurate evaluation of the pavement aging degree and the crushing uniformity of the pavement rubblization, and further improving the reliability of performing crushing uniformity analysis.

[0022] 3. Send a prompt for secondary crushing treatment, and then send a second control signal prompt to the resonant rubblization machine. When the crushing uniformity value is within the preset crushing uniformity range, stop performing crushing uniformity optimization, thereby realizing the reliability of crushing uniformity optimization and further improving the accuracy of crushing uniformity optimization. Description of the Drawings

[0023] Figure 1It is a flowchart of a method for analyzing the aging grade and maintaining a modified asphalt pavement provided by an embodiment of the present application;

[0024] Figure 2 It is a schematic structural diagram of a system for analyzing the aging grade and maintaining a modified asphalt pavement provided by an embodiment of the present application. Specific embodiments

[0025] In an embodiment of the present application, by providing a method, system and equipment for analyzing the aging grade and maintaining a modified asphalt pavement, the problem that the influence of the uniformity of crushing is not fully considered in the process of analyzing the aging grade and maintaining a modified asphalt pavement in the prior art is solved. Through the obtained pavement aging evaluation parameters, the aging grade classification of the asphalt pavement is carried out and it is judged whether to perform the crushing uniformity analysis. When the pavement aging judgment value is greater than 0, the crushing uniformity analysis is carried out. When the pavement aging judgment value is not greater than 0, the crushing uniformity analysis is not carried out; if the crushing uniformity analysis is carried out, it is judged whether to perform the crushing uniformity optimization based on the crushing uniformity data. If the crushing uniformity analysis is not carried out, the asphalt pavement maintenance analysis is carried out, realizing the improvement of the effectiveness of the crushing uniformity in the process of analyzing the aging grade and maintaining a modified asphalt pavement.

[0026] The technical solution in the embodiment of the present application is to solve the problem that the influence of the uniformity of crushing is not fully considered in the process of analyzing the aging grade and maintaining a modified asphalt pavement, and the general idea is as follows:

[0027] Through the obtained pavement aging evaluation parameters, the aging grade classification of the asphalt pavement is carried out and it is judged whether to perform the crushing uniformity analysis. If the crushing uniformity analysis is carried out, it is judged whether to perform the crushing uniformity optimization based on the crushing uniformity data. If the crushing uniformity analysis is not carried out, the asphalt pavement maintenance analysis is carried out, achieving the effect of improving the effectiveness of the crushing uniformity in the process of analyzing the aging grade and maintaining a modified asphalt pavement.

[0028] In order to better understand the above technical solution, the above technical solution will be described in detail below in combination with the accompanying drawings of the specification and specific embodiments.

[0029] As Figure 1 shown, it is a flowchart of a method for analyzing the aging grade and maintaining a modified asphalt pavement provided by an embodiment of the present application. The method includes the following steps: S1, asphalt pavement aging grade classification: based on the obtained pavement aging evaluation parameters, the aging grade classification of the asphalt pavement is carried out and it is judged whether to perform the crushing uniformity analysis; S2, crushing uniformity optimization: if the crushing uniformity analysis is carried out, it is judged whether to perform the crushing uniformity optimization based on the crushing uniformity data; S3, asphalt pavement maintenance analysis: if the crushing uniformity analysis is not carried out, the asphalt pavement maintenance analysis is carried out.

[0030] Specifically, during the resonant rubblization process, uneven crushing can make it difficult to form a uniform thickness and density in the asphalt layer during paving. The uniformity of the asphalt layer is crucial for the performance of the road surface, such as durability, crack resistance, and skid resistance. By analyzing the aging grade of the modified asphalt pavement and optimizing the crushing uniformity, the problem of uneven crushing that may occur during the resonant rubblization process can be effectively addressed.

[0031] In this embodiment, the pavement aging evaluation value and the pavement aging judgment value are obtained by monitoring the pavement aging evaluation parameters. Based on the pavement aging evaluation value and the pavement aging judgment value, the aging grade classification of the asphalt pavement is carried out. When the pavement aging judgment value is greater than 0, the corresponding test pavement is subjected to crushing uniformity analysis. Whether to optimize the crushing uniformity is judged by monitoring the crushing uniformity value. When the crushing uniformity value is not within the preset crushing uniformity range, the crushing uniformity is optimized. When the crushing uniformity value of the test section corresponding to the re - carried - out crushing uniformity analysis is within the preset crushing uniformity range, the asphalt pavement maintenance analysis is carried out. Through the asphalt pavement aging grade classification, crushing uniformity optimization, and asphalt pavement maintenance analysis, it helps to improve the quality of pavement repair or maintenance, and thus realizes the improvement of the effectiveness of crushing uniformity during the aging grade analysis and maintenance process of the modified asphalt pavement.

[0032] Further, the specific obtaining process for classifying the aging grade of asphalt pavement based on the obtained pavement aging evaluation parameters is as follows: After analyzing the approaching degree between the preset average pavement thickness and the average pavement thickness, and then combining the average deflection influence factor and the preset thickness reflection weight for weighted operation to obtain the deflection-thickness reflection value, which is used to reflect the influence of the average pavement thickness and the average deflection influence factor on the pavement aging degree; The average deflection influence factor is obtained by analyzing the approaching degree between the average pavement deflection value and the average pavement deflection value; After analyzing the approaching degree between the preset average pavement compressive strength and the average pavement compressive strength, and then combining the average deflection influence factor and the preset compressive strength reflection weight for weighted operation to obtain the deflection-compressive strength reflection value, which is used to reflect the influence of the average pavement compressive strength and the average deflection influence factor on the pavement aging degree; After analyzing the approaching degree between the average pavement crack width and the preset average pavement crack width, and then combining the average deflection influence factor and the preset crack width reflection weight for weighted operation to obtain the deflection-crack width reflection value, which is used to reflect the influence of the average pavement crack width and the average deflection influence factor on the pavement aging degree; After analyzing the approaching degree between the average pavement crack depth and the preset average pavement crack depth, and then combining the average deflection influence factor and the preset crack depth reflection weight for weighted operation to obtain the deflection-crack depth reflection value, which is used to reflect the influence of the average pavement crack depth and the average deflection influence factor on the pavement aging degree; After performing coupling processing on the deflection reflection data group and then conducting a significant deflection difference analysis, and then performing a weighted operation with the preset deflection reflection weight to obtain the pavement aging evaluation value, which is used to reflect the situation where the pavement aging evaluation parameters and the preset pavement aging evaluation parameters jointly act on the pavement aging degree.

[0033] The deflection reflection data group includes the deflection-thickness reflection value, the deflection-compressive strength reflection value, the deflection-crack width reflection value, and the deflection-crack depth reflection value; The preset pavement aging evaluation parameters include the preset average pavement thickness, the preset average pavement compressive strength, the preset average pavement crack width, the preset average pavement crack depth, the preset average pavement deflection value, and the preset aging reflection weight group, and the preset deflection reflection weight; The preset aging reflection weight group includes the preset thickness reflection weight, the preset compressive strength reflection weight, the preset crack width reflection weight, and the preset crack depth reflection weight, which are used to reflect the influence of the pavement aging evaluation parameters on the deflection reflection data group; The preset deflection reflection weight is used to reflect the influence of the deflection reflection data group on the pavement aging evaluation value; The pavement aging evaluation parameters include the average pavement thickness, the average pavement compressive strength, the average pavement crack width, the average pavement crack depth, and the average pavement deflection value.

[0034] Among them, the pavement thickness of the test pavement is detected by a core drilling machine and a ground radar device such as GPR (Ground Penetrating Radar), and its average value is used as the average pavement thickness; the compressive strength of the test pavement is detected by an ultrasonic detector, and its average value is used as the average pavement compressive strength; the crack width of the test pavement is detected by a crack observation instrument, and its average value is used as the average pavement crack depth; the crack width of the test pavement is detected by a crack observation instrument, and its average value is used as the average pavement crack depth; the deflection value of the test pavement is detected by an automatic deflectometer, and its average value is used as the average pavement deflection value.

[0035] It should be explained that in this embodiment, two mapping groups are obtained from the database and contain mapping sets, which are used to reflect the mapping relationship between pavement aging evaluation parameters and corresponding preset aging reflection weight groups, and the mapping relationship between deflection reflection data groups and corresponding preset deflection reflection weights. The mapping relationship in the mapping set can be a one-to-one or many-to-one relationship; by inputting real-time pavement aging evaluation parameters and deflection reflection data groups into the mapping group, the corresponding preset aging reflection weight group and preset deflection reflection weight can be obtained; for example, in this embodiment, the value range of the weight is 0-1.

[0036] Among them, the units of the average pavement thickness and the preset average pavement thickness are both centimeters, the units of the average pavement compressive strength and the preset average pavement compressive strength are both MPa, the units of the average pavement crack width, the average pavement crack depth, the preset average pavement crack width and the preset average pavement crack depth are all centimeters, and the units of the average pavement deflection value and the preset average pavement deflection value are both millimeters.

[0037] Among them, the pavement aging evaluation value is obtained by the following method:

[0038] H(g) = ε * [h1(g) + h2(g) + h3(g) + h4(g)];

[0039] In the formula, H(g) represents the pavement aging evaluation value of the g-th section of the test pavement, g = 1, 2,..., k, g represents the number of the test pavement, k represents the total number of the test pavements, h1(g) represents the deflection-thickness reflection value of the g-th section of the test pavement, h2(g) represents the deflection-compressive strength reflection value of the g-th section of the test pavement, h3(g) represents the deflection-crack width reflection value of the g-th section of the test pavement, h4(g) represents the deflection-crack depth reflection value of the g-th section of the test pavement, and ε represents the preset deflection reflection weight.

[0040] Specifically, Where Y(g) represents the average deflection influence factor of the g-th test road surface, WCZ(g) represents the average road surface deflection value of the g-th test road surface, and WCZ(0) represents the preset average road surface deflection value.

[0041] Where a1 represents the preset thickness reflection weight, HD(g) represents the average road surface thickness of the g-th test road surface, and HD(0) represents the preset average road surface thickness.

[0042] Where a2 represents the preset compressive strength reflection weight, QD(g) represents the average road surface compressive strength of the g-th test road surface, and QD(0) represents the preset average road surface compressive strength.

[0043] Where a3 represents the preset crack width reflection weight, FK(g) represents the average road surface crack width of the g-th test road surface, and FK(0) represents the preset average road surface crack width.

[0044] Where FS(g) represents the average road surface crack depth of the g-th test road surface, FS(0) represents the preset average road surface crack depth, and a4 represents the preset crack depth reflection weight.

[0045] In this embodiment, the average deflection influence factor is interactively processed with the average road surface thickness, the average road surface compressive strength, the average road surface crack width, and the average road surface crack depth respectively, to reflect the combined effect of the average deflection influence factor, the average road surface thickness, the average road surface compressive strength, the average road surface crack width, and the average road surface crack depth on the road surface aging degree; the aforementioned database is a database for storing various set data in a method for analyzing the aging grade and maintaining a modified asphalt road surface provided by an embodiment of the present application. The database includes but is not limited to the preset average road surface thickness, the preset average road surface compressive strength, the preset average road surface crack width, etc. The various numerical values therein are directly set by technicians; for example, the preset road surface analysis parameters are represented by the average value of the road surface analysis parameters in the corresponding historical time period in the database; the preset road surface analysis parameters include the preset average road surface thickness, the preset average road surface compressive strength, the preset average road surface crack width, the preset average road surface crack depth, the preset average road surface deflection value, the preset qualified amplitude, the preset qualified vibration frequency, the preset average mechanical travel speed, the preset average particle size; the road surface analysis parameters include the average road surface thickness, the average road surface compressive strength, the average road surface crack width, the average road surface crack depth, the average road surface deflection value, the qualified amplitude, the qualified vibration frequency, the average mechanical travel speed, the average particle size.

[0046] In this embodiment, the pavement aging evaluation value is obtained by combining the deflection reflection data group for analysis. The larger the deflection-thickness reflection value, the stronger the effects of the average pavement thickness and the average deflection influence factor on the pavement aging degree, resulting in a larger pavement aging evaluation value; the larger the deflection-compressive strength reflection value, the stronger the effects of the average pavement compressive strength and the average deflection influence factor on the pavement aging degree, resulting in a larger pavement aging evaluation value; the larger the deflection-crack width reflection value, the stronger the effects of the average pavement crack width and the average deflection influence factor on the pavement aging degree, resulting in a larger pavement aging evaluation value; the larger the deflection-crack depth reflection value, the stronger the effects of the average pavement crack depth and the average deflection influence factor on the pavement aging degree, resulting in a larger pavement aging evaluation value; in summary, there is a positive proportional relationship between the deflection reflection data group and the pavement aging evaluation value.

[0047] In this embodiment, the pavement aging evaluation parameters do not exist independently and are interrelated, and comprehensive analysis is required. The larger the average pavement thickness, the stronger the compressive capacity of the pavement may be, because the thicker the pavement, the less likely it is to deform and be damaged under the action of loads, thereby resulting in a larger average pavement compressive strength; the crack width and depth are interrelated. Usually, the increase in crack width is accompanied by the increase in crack depth, that is, the larger the average pavement crack width, the larger the average pavement crack depth will be; the larger the average pavement compressive strength, the more capable the pavement is of resisting deformation under the action of loads, thereby resulting in a decrease in the average pavement deflection value; the presence of cracks will increase the pavement deflection value. Cracks weaken the structural integrity of the pavement, making the pavement more likely to deform under the action of loads. Therefore, the increase in the average pavement crack width and the average pavement crack depth is usually accompanied by the increase in the average pavement deflection value. By analyzing the comprehensive effects between parameters, the accurate evaluation of the pavement aging degree is achieved, and further, the improvement of the effectiveness of the broken uniformity in the analysis of the aging grade of the modified asphalt pavement and the maintenance process is realized.

[0048] Furthermore, the specific process of judging whether to perform the broken uniformity analysis is as follows: perform a difference operation on the pavement aging evaluation value and the preset pavement aging evaluation threshold obtained from the database to obtain the pavement aging judgment value; judge whether the pavement aging judgment value is greater than 0; when the pavement aging judgment value is greater than 0, mark the corresponding test pavement as a first-level aging pavement and perform the broken uniformity analysis; when the pavement aging judgment value is not greater than 0, mark the corresponding test pavement as a second-level aging pavement and do not perform the broken uniformity analysis; the pavement aging judgment value is represented by the difference between the pavement aging evaluation value and the preset pavement aging evaluation threshold.

[0049] It should be added that the specific process of performing the crushing uniformity analysis is as follows: the strength difference value is obtained by analyzing the deviation degree between the compressive strength value and the preset compressive strength value obtained from the database. The strength difference value is represented by the average value of the absolute values of the differences between the compressive strength values of the preset points on the test road surface and the preset compressive strength value; it is judged whether to send a first control signal prompt to the resonant rubblization machine; when the monitored strength difference value is not greater than the preset difference value, the corresponding first qualified data group is directly obtained, and the pavement crushing uniformity is evaluated; when the monitored strength difference value is greater than the preset difference value, a first control signal prompt is sent to the resonant rubblization machine; the first control signal includes a first vibration frequency control signal and a first amplitude control signal; the first qualified data group includes a qualified vibration frequency and a qualified amplitude; the qualified vibration frequency represents the vibration frequency of the resonant rubblization machine corresponding to the strength difference value not greater than the preset difference value; the qualified amplitude represents the amplitude of the resonant rubblization machine corresponding to the strength difference value not greater than the preset difference value.

[0050] In this embodiment, the compressive strength of the test road surface is detected by a compressive strength value ultrasonic detector as the compressive strength value. The preset pavement aging evaluation threshold is represented by the average value of the pavement aging evaluation values in the historical time period, and the preset compressive strength value is represented by the average value of the pavement compressive strength values in the historical time period; when the first control signal prompt is monitored, the proportional relationship (the ratio of the pavement aging evaluation value to the preset pavement aging evaluation threshold) between the pavement aging evaluation value and the preset pavement aging evaluation threshold is judged, and the vibration frequency of the resonant rubblization machine and the preset vibration frequency are set in a preset ratio, and the amplitude of the resonant rubblization machine and the preset amplitude are set in a preset ratio; the preset vibration frequency and the preset amplitude are set in advance by preset personnel; the adjustment of the vibration frequency and the amplitude is aimed at optimizing the crushing effect, making the crushed pavement materials more uniform, thereby improving the laying quality of the subsequent asphalt layer and the overall performance of the road surface, and further achieving the effect of enhancing the effectiveness of crushing uniformity in the analysis and maintenance process of the modified asphalt pavement aging grade.

[0051] Further, the specific process of evaluating the pavement fragmentation uniformity is as follows: After analyzing the approaching degree between the qualified amplitude and the preset qualified amplitude, a weighted operation is performed by combining the particle size influence factor and the preset amplitude reflection weight to obtain the particle size-amplitude reflection value, which is used to reflect the comprehensive effect of the qualified amplitude and the average particle size on the pavement rubblization uniformity; the particle size influence factor is obtained by analyzing the approaching degree between the preset average particle size and the average particle size; after analyzing the approaching degree between the qualified vibration frequency and the preset qualified vibration frequency, a weighted operation is performed by combining the particle size influence factor and the preset vibration frequency reflection weight to obtain the particle size-vibration frequency reflection value, which is used to reflect the comprehensive effect of the qualified vibration frequency and the average particle size on the pavement rubblization uniformity; after analyzing the approaching degree between the preset average mechanical travel speed and the average mechanical travel speed, a weighted operation is performed by combining the particle size influence factor and the preset travel speed reflection weight to obtain the particle size-travel speed reflection value, which is used to reflect the comprehensive effect of the average mechanical travel speed and the average particle size on the pavement rubblization uniformity; the fragmentation uniformity data is coupled to obtain the fragmentation uniformity value, which is used to reflect the comprehensive effect of the fragmentation uniformity parameters and the preset fragmentation uniformity parameters on the pavement fragmentation uniformity situation.

[0052] The fragmentation uniformity data includes the particle size-amplitude reflection value, the particle size-vibration frequency reflection value, and the particle size-travel speed reflection value. The fragmentation uniformity parameters include the qualified amplitude, the qualified vibration frequency, the average mechanical travel speed, and the average particle size; the preset fragmentation uniformity parameters include the preset qualified amplitude, the preset qualified vibration frequency, the preset average mechanical travel speed, the preset average particle size, and the preset fragmentation reflection weight; the preset fragmentation reflection weight includes the preset amplitude reflection weight, the preset vibration frequency reflection weight, and the preset travel speed reflection weight, which are used to reflect the influence degree of the fragmentation uniformity parameters on the fragmentation uniformity data.

[0053] Among them, the amplitude monitored by the oscilloscope and the vibration sensor for the resonant rubblization machine on the test pavement during the preset time period (the time period corresponding to the intensity difference value not greater than the preset difference value) is used as the qualified amplitude; the vibration frequency monitored by the spectrum analyzer and the vibration sensor for the resonant rubblization machine on the test pavement during the preset time period is used as the qualified vibration frequency; the travel speed of the resonant rubblization machine on the test pavement monitored by the speed sensor during the preset time period, and its average value is used as the average mechanical travel speed; the particle size of the test pavement detected by the laser particle size analyzer, and its average value is used as the average particle size.

[0054] It should be noted that in this embodiment, a set of mapping groups containing a mapping set are obtained from the database to reflect the mapping relationship between the crushing uniformity parameters and the corresponding preset crushing uniformity reflection weights. The mapping relationship in the mapping set can be one-to-one or many-to-one. By inputting the real-time crushing uniformity parameters into the mapping group, the corresponding preset crushing uniformity reflection weights can be obtained. For example, in this embodiment, the value range of the weight is 0-1.

[0055] The units of the qualified amplitude and the preset qualified amplitude are both millimeters, the units of the qualified vibration frequency and the preset qualified vibration frequency are both hertz, the units of the average mechanical traveling speed and the preset average mechanical traveling speed are both kilometers per hour, and the units of the average particle size and the preset average particle size are both centimeters.

[0056] Among them, the crushing uniformity value is obtained by the following method:

[0057] D(g) = M1(g) + M2(g) + M3(g);

[0058] In the formula, D(g) represents the crushing uniformity value of the g-th section of the test road surface, g = 1, 2,..., k, g represents the number of the test road surface, k represents the total number of the test road surfaces, M1(g) represents the particle size-amplitude reflection value of the g-th section of the test road surface, M2(g) represents the particle size-vibration frequency reflection value of the g-th section of the test road surface, and M3(g) represents the particle size-traveling speed reflection value of the g-th section of the test road surface.

[0059] Specifically, In the formula, x(g) represents the particle size influence factor of the g-th section of the test road surface, LJ(g) represents the average particle size of the g-th section of the test road surface, and LJ(0) represents the preset average particle size.

[0060] In the formula, b1 represents the preset amplitude reflection weight, ZF(g) represents the qualified amplitude corresponding to the g-th section of the test road surface, and ZF(0) represents the preset qualified amplitude.

[0061] In the formula, b2 represents the preset vibration frequency reflection weight, ZP(g) represents the qualified vibration frequency corresponding to the g-th section of the test road surface, and ZP(0) represents the preset qualified vibration frequency.

[0062] In the formula, b3 represents the preset traveling speed reflection weight, XV(g) represents the average mechanical traveling speed corresponding to the g-th section of the test road surface, and XV(0) represents the preset average mechanical traveling speed.

[0063] In this embodiment, the particle size influence factor is interactively processed with the qualified amplitude, the qualified vibration frequency, and the average mechanical travel speed respectively to reflect the combined effect of the particle size influence factor, the qualified amplitude, the qualified vibration frequency, and the average mechanical travel speed on the uniformity of the pavement rubblization; in this embodiment, the rubblization uniformity value is obtained by combining the analysis of the rubblization uniformity data. The larger the particle size-amplitude reflection value, the stronger the combined effect of the qualified amplitude and the average particle size on the uniformity of the pavement rubblization, resulting in a larger rubblization uniformity value; the larger the particle size-vibration frequency reflection value, the stronger the combined effect of the qualified vibration frequency and the average particle size on the uniformity of the pavement rubblization, resulting in a larger rubblization uniformity value; the stronger the particle size-travel speed reflection value, the stronger the combined effect of the average mechanical travel speed and the average particle size on the uniformity of the pavement rubblization, resulting in a larger rubblization uniformity value; in summary, the rubblization uniformity data is in a direct proportional relationship with the rubblization uniformity value.

[0064] In this embodiment, the rubblization uniformity parameters do not exist independently and are interrelated, and comprehensive analysis is required. The larger the qualified amplitude, the stronger the impact force of the resonant rubblization machine on the pavement material, making it easier for the stones to be broken into smaller particle sizes, and thus resulting in a decrease in the average particle size; the larger the qualified vibration frequency, the more effectively it can break the large particle size stones, improving the rubblization uniformity, and thus resulting in a smaller average particle size and a larger rubblization uniformity value; the slower the average mechanical travel speed, the more sufficient the breaking of the pavement material by the resonant rubblization machine can be ensured, thereby improving the rubblization uniformity, and thus resulting in a larger rubblization uniformity value. By analyzing the comprehensive influence between the parameters, the accurate evaluation of the uniformity of the pavement rubblization is realized, and thus the effectiveness of improving the rubblization uniformity in the analysis of the aging grade and the maintenance process of the modified asphalt pavement is achieved.

[0065] Further, the specific process of determining whether to optimize the crushing uniformity based on the crushing uniformity data is as follows: Determine whether the crushing uniformity value is within the preset crushing uniformity range obtained from the database; when the crushing uniformity value is within the preset crushing uniformity range obtained from the database, do not perform crushing uniformity optimization and conduct asphalt pavement maintenance analysis; when the crushing uniformity value is not within the preset crushing uniformity range obtained from the database, perform crushing uniformity optimization; the specific process of crushing uniformity optimization is as follows: First step, send a prompt for secondary crushing treatment; Second step, send a second control signal prompt to the resonant crushing machine. When the monitored crushing uniformity value is within the preset crushing uniformity range obtained from the database, stop performing crushing uniformity optimization and obtain the corresponding and homogenization qualified parameters; The second control signal prompt includes a second vibration frequency control signal, a second amplitude control signal, a hammer head width control signal, and a traveling speed control signal; The homogenization qualified parameters include the vibration frequency of the resonant crushing machine, the amplitude of the resonant crushing machine, the hammer head width of the resonant crushing machine, and the traveling speed of the resonant crushing machine corresponding to the crushing uniformity value within the preset crushing uniformity range.

[0066] In this embodiment, the preset crushing uniformity range is set in advance by preset personnel. When the second control signal prompt is detected, judge the proportional relationship (the ratio of the crushing uniformity value to the preset crushing uniformity value threshold) between the crushing uniformity value and the preset crushing uniformity value threshold, and gradually increase the vibration frequency of the resonant crushing machine and the amplitude of the resonant crushing machine in a preset proportion, and gradually decrease the hammer head width of the resonant crushing machine and the traveling speed of the resonant crushing machine in a preset proportion; The preset crushing uniformity value threshold is represented by the average value of the crushing uniformity values in the historical time period; The vibration frequency of the resonant crushing machine is within 35 - 50 Hz, the amplitude of the resonant crushing machine is within 10 - 20 mm, the hammer head width of the resonant crushing machine is within 150 - 250 mm, and the traveling speed of the resonant crushing machine is less than 6.5 km / h; By adjusting the parameters of the resonant crushing machine, the uniformity of the crushed road surface material can be significantly improved, which helps to ensure the laying quality of the subsequent asphalt layer and the overall performance of the road surface, and thus realizes the improvement of the effectiveness of crushing uniformity in the aging grade analysis and maintenance process of the modified asphalt pavement.

[0067] Further, the specific process of asphalt pavement maintenance analysis is as follows: Based on the homogenization qualified parameters, the crushing uniformity of the test pavement is analyzed again to determine whether the pavement uniformity is qualified; when the crushing uniformity value corresponding to the test section with re-analyzed crushing uniformity is within the preset crushing uniformity range, asphalt pavement maintenance analysis is carried out: Asphalt pavement maintenance analysis includes rolling parameter setting and maintenance of the pavement to be rolled; rolling parameter setting means sending a third control signal to the resonant rubblization machine to obtain qualified rolling parameters; the third control signal includes a rolling times control signal and a rolling speed control signal; the qualified rolling parameters are used for the rolling operation of the pavement to be rolled.

[0068] It should be added that the specific process of maintaining the pavement to be rolled is as follows: Determine whether the moisture content of the mixture meets the water content qualified condition; when the moisture content of the mixture meets the water content qualified condition, maintenance operations are carried out, otherwise a prompt to re-obtain the mixture is sent; the water content qualified condition means that the moisture content of the mixture is within the preset moisture content range; the specific steps of the maintenance operation are as follows: AA1, send a rolling prompt to the preset personnel; AA2, send a prompt to set the surface temperature of the asphalt pavement to the preset personnel when the surface temperature of the asphalt pavement is lower than the preset temperature obtained from the database; AA3, send an open traffic prompt to the preset personnel, and after a preset time period, send a pavement cleaning prompt to the preset personnel.

[0069] Among them, the preset temperature is represented by the average value of the surface temperature of the asphalt pavement in the historical time period (generally 50 °C), and the preset moisture content is set in advance by the preset personnel.

[0070] As Figure 2 shown, it is a schematic structural diagram of a modified asphalt pavement aging grade analysis and maintenance system provided by an embodiment of the present application. An embodiment of the present application provides a modified asphalt pavement aging grade analysis and maintenance system, including an asphalt pavement aging grade classification module, a crushing uniformity optimization module, and an asphalt pavement maintenance analysis module: Among them, the asphalt pavement aging grade classification module is used to classify the aging grade of the asphalt pavement based on the obtained pavement aging evaluation parameters and determine whether to perform crushing uniformity analysis; the crushing uniformity optimization module is used to determine whether to perform crushing uniformity optimization based on the crushing uniformity data if crushing uniformity analysis is to be performed; the asphalt pavement maintenance analysis module is used to perform asphalt pavement maintenance analysis if crushing uniformity analysis is not to be performed.

[0071] Among them, an embodiment of the present application provides an electronic device, characterized in that the electronic device includes a memory for storing computer program instructions and a processor for executing the program instructions. Among them, when the computer program instructions are executed by the processor, the electronic device is triggered to execute a method for analyzing and maintaining the aging grade of a modified asphalt pavement.

[0072] In this embodiment, when the crushing uniformity value corresponding to the test section where the crushing uniformity analysis is re - carried out is within the preset crushing uniformity range, it is considered that the pavement uniformity is qualified and subsequent asphalt pavement maintenance analysis can be carried out; when the third control signal is monitored, the rolling times and rolling speed of the resonant rubblization machine are increased step by step at a preset ratio. After the rolling parameters are set, the maintenance operation of the pavement to be rolled is carried out; by adjusting the rolling parameters (rolling times and rolling speed), the rolling effect can be optimized, making the pavement smoother, more uniform and denser, and thus achieving the effect of improving the effectiveness of crushing uniformity in the analysis and maintenance process of the modified asphalt pavement aging grade.

[0073] In summary, in the embodiment of the present application, the asphalt pavement aging grade is classified by using the obtained pavement aging evaluation parameters and it is judged whether to carry out the crushing uniformity analysis. If the crushing uniformity analysis is carried out, it is judged whether to optimize the crushing uniformity based on the crushing uniformity data. If the crushing uniformity analysis is not carried out, the asphalt pavement maintenance analysis is carried out, thus improving the accuracy of the crushing uniformity analysis and the asphalt pavement maintenance analysis, and further improving the effectiveness of crushing uniformity in the analysis and maintenance process of the modified asphalt pavement aging grade, effectively solving the problem that the influence of crushing uniformity is not fully considered in the analysis and maintenance process of the modified asphalt pavement aging grade in the prior art.

[0074] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer - usable storage media (including but not limited to disk memory, CD - ROM, optical memory, etc.) containing computer - usable program code.

[0075] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general - purpose computer, a special - purpose computer, an embedded processor, or other programmable data - processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data - processing devices generate a device for realizing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0076] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the functions specified in one or more of the processes Figure 1 and / or boxes Figure 1 specified in one or more of the boxes.

[0077] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one or more of the processes Figure 1 and / or boxes Figure 1 specified in one or more of the boxes.

[0078] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made by those skilled in the art once they learn of the basic inventive concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present invention.

[0079] It is obvious that those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A method for analyzing the aging grade and maintaining a modified asphalt pavement, characterized in that, It includes the following steps: S1. Classify the aging level of the asphalt pavement based on the obtained pavement aging evaluation parameters, and determine whether to conduct a crushing uniformity analysis; S2. If a crushing uniformity analysis is to be conducted, determine whether to optimize the crushing uniformity based on the crushing uniformity data; S3. If a crushing uniformity analysis is not to be conducted, conduct an asphalt pavement maintenance analysis.

2. The aging grade analysis and maintenance method for a modified asphalt pavement as described in claim 1, wherein The pavement aging evaluation parameters include the average pavement thickness, average pavement compressive strength, average pavement crack width, average pavement crack depth, and average pavement deflection value; The specific acquisition process of classifying the aging level of the asphalt pavement based on the obtained pavement aging evaluation parameters is as follows: After analyzing the degree of approximation between the preset average pavement thickness and the average pavement thickness, and then combining the average deflection influence factor and the preset thickness reflection weight for weighted operation to obtain the deflection-thickness reflection value, which is used to reflect the influence of the average pavement thickness and the average deflection influence factor on the pavement aging degree; After analyzing the degree of approximation between the preset average pavement compressive strength and the average pavement compressive strength, and then combining the average deflection influence factor and the preset compressive strength reflection weight for weighted operation to obtain the deflection-compressive strength reflection value, which is used to reflect the influence of the average pavement compressive strength and the average deflection influence factor on the pavement aging degree; After analyzing the degree of approximation between the average pavement crack width and the preset average pavement crack width, and then combining the average deflection influence factor and the preset crack width reflection weight for weighted operation to obtain the deflection-crack width reflection value, which is used to reflect the influence of the average pavement crack width and the average deflection influence factor on the pavement aging degree; After analyzing the degree of approximation between the average pavement crack depth and the preset average pavement crack depth, and then combining the average deflection influence factor and the preset crack depth reflection weight for weighted operation to obtain the deflection-crack depth reflection value, which is used to reflect the influence of the average pavement crack depth and the average deflection influence factor on the pavement aging degree; After performing coupling processing on the deflection reflection data group and then conducting a significant deflection difference analysis, and then performing weighted operation with the preset deflection reflection weight to obtain the pavement aging evaluation value, which is used to reflect the situation of the combined action of the pavement aging evaluation parameters and the preset pavement aging evaluation parameters on the pavement aging degree; The deflection reflection data group includes the deflection-thickness reflection value, deflection-compressive strength reflection value, deflection-crack width reflection value, and deflection-crack depth reflection value.

3. The method for analyzing the aging grade and maintaining a modified asphalt pavement according to claim 2, characterized in that, The specific process of determining whether to conduct a crushing uniformity analysis is as follows: Perform a difference operation on the pavement aging evaluation value and the preset pavement aging evaluation threshold obtained from the database to obtain the pavement aging judgment value; When the pavement aging judgment value is greater than 0, mark the corresponding test pavement as a first-level aging pavement and conduct a crushing uniformity analysis; When the pavement aging judgment value is not greater than 0, mark the corresponding test pavement as a second-level aging pavement and do not conduct a crushing uniformity analysis.

4. The aging grade analysis and maintenance method for a modified asphalt pavement according to claim 1, characterized in that, The specific process of conducting a crushing uniformity analysis is as follows: Obtain the strength difference value by analyzing the deviation degree between the compressive strength value and the preset compressive strength value obtained from the database; When the monitored intensity difference value is not greater than the preset difference value, directly obtain the corresponding first qualified data set and conduct an evaluation of the pavement crushing uniformity; When the monitored intensity difference value is greater than the preset difference value, send a first control signal prompt to the resonant rubblization machine; The first control signal includes a first vibration frequency control signal and a first amplitude control signal; The first qualified data set includes a qualified vibration frequency and a qualified amplitude.

5. The modified asphalt pavement aging grade analysis and maintenance method according to claim 4, wherein The specific process of the pavement crushing uniformity evaluation is as follows: After analyzing the approaching degree between the qualified amplitude and the preset qualified amplitude, a particle size - amplitude reflection value is obtained through weighted operation by combining the particle size influence factor and the preset amplitude reflection weight, which is used to reflect the comprehensive effect of the qualified amplitude and the average particle size on the pavement rubblization uniformity; After analyzing the approaching degree between the qualified vibration frequency and the preset qualified vibration frequency, a particle size - vibration frequency reflection value is obtained through weighted operation by combining the particle size influence factor and the preset vibration frequency reflection weight, which is used to reflect the comprehensive effect of the qualified vibration frequency and the average particle size on the pavement rubblization uniformity; After analyzing the approaching degree between the preset average mechanical travel speed and the average mechanical travel speed, a particle size - travel speed reflection value is obtained through weighted operation by combining the particle size influence factor and the preset travel speed reflection weight, which is used to reflect the comprehensive effect of the average mechanical travel speed and the average particle size on the pavement rubblization uniformity; The crushing uniformity data is coupled to obtain a crushing uniformity value, which is used to reflect the comprehensive effect of the crushing uniformity parameters and the preset crushing uniformity parameters on the pavement crushing uniformity. The crushing uniformity data includes the particle size - amplitude reflection value, the particle size - vibration frequency reflection value, and the particle size - travel speed reflection value. The crushing uniformity parameters include the qualified amplitude, the qualified vibration frequency, the average mechanical travel speed, and the average particle size.

6. The method for analyzing the aging grade and maintenance of a modified asphalt pavement according to claim 5, characterized in that, The specific process of judging whether to optimize the crushing uniformity based on the crushing uniformity data is as follows: When the crushing uniformity value is within the preset crushing uniformity range obtained from the database, no crushing uniformity optimization is performed, and the asphalt pavement maintenance analysis is carried out; When the crushing uniformity value is not within the preset crushing uniformity range obtained from the database, crushing uniformity optimization is performed; The specific process of the crushing uniformity optimization is as follows: First step, send a prompt for secondary crushing treatment; Second step, send a second control signal prompt to the resonant rubblization machine. When the monitored crushing uniformity value is within the preset crushing uniformity range obtained from the database, stop the crushing uniformity optimization and obtain the corresponding and homogenization qualified parameters; The second control signal prompt includes a second vibration frequency control signal, a second amplitude control signal, a hammer head width control signal, and a travel speed control signal; The homogenization qualified parameters include the vibration frequency of the resonant rubblization machine, the amplitude of the resonant rubblization machine, the hammer head width of the resonant rubblization machine, and the travel speed of the resonant rubblization machine corresponding to the crushing uniformity value within the preset crushing uniformity range.

7. The method for analyzing the aging grade and maintaining a modified asphalt pavement according to claim 6, characterized in that, The specific process of the asphalt pavement maintenance analysis is as follows: Based on the homogenization qualification parameters, re - conduct the crushing uniformity analysis on the test road surface and determine whether the road surface uniformity is qualified; When the crushing uniformity value corresponding to the test section where the crushing uniformity analysis is re - conducted is within the preset crushing uniformity range, conduct the asphalt pavement maintenance analysis: The asphalt pavement maintenance analysis includes rolling parameter setting and the maintenance of the pavement to be rolled; The rolling parameter setting means sending a third control signal to the resonant rubblization machine to obtain qualified rolling parameters; The third control signal includes a rolling - times control signal and a rolling - speed control signal.

8. The method for analyzing the aging level and maintaining a modified asphalt pavement according to claim 7, wherein The specific process of the maintenance of the pavement to be rolled is as follows: When the moisture content of the mixture meets the qualified moisture condition, carry out the maintenance operation, otherwise send a prompt to re - obtain the mixture; The qualified moisture condition means that the moisture content of the mixture is within the preset moisture content range; The specific steps of the maintenance operation are as follows: AA1, send a rolling prompt to the preset personnel; AA2, send a prompt to set the surface temperature of the asphalt pavement to the preset personnel, where the surface temperature of the asphalt pavement is lower than the preset temperature obtained from the database; AA3, send an open - to - traffic prompt to the preset personnel, and after a preset time period, send a pavement - cleaning prompt to the preset personnel.

9. A modified asphalt pavement aging grade analysis and maintenance system, characterized in that, It includes an asphalt pavement aging - grade classification module, a crushing uniformity optimization module, and an asphalt pavement maintenance analysis module: Among them, the asphalt pavement aging - grade classification module is used to classify the aging grade of the asphalt pavement based on the obtained pavement aging evaluation parameters and determine whether to conduct the crushing uniformity analysis; The crushing uniformity optimization module is used to determine whether to optimize the crushing uniformity based on the crushing uniformity data if the crushing uniformity analysis is to be conducted; The asphalt pavement maintenance analysis module is used to conduct the asphalt pavement maintenance analysis if the crushing uniformity analysis is not to be conducted.

10. An electronic device, characterized in that, The electronic device includes a memory for storing computer program instructions and a processor for executing the program instructions. Among them, when the computer program instructions are executed by the processor, the electronic device is triggered to execute a method for analyzing and maintaining the aging grade of a modified asphalt pavement according to any one of claims 1 - 8.

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