Asphalt aging and stripping state detection method and system

Abstract

The invention provides an asphalt aging and stripping state detection method and system, and relates to the technical field of asphalt detection.The method comprises the steps that multiple to-be-detected asphalt samples are obtained, and sampling coordinates of the to-be-detected asphalt samples are determined; detecting physical performance parameters and chemical component parameters of the to-be-detected asphalt sample; determining an overall asphalt aging state detection score according to the physical performance parameters and the chemical component parameters; measuring the stripping area and stripping depth of each stripping position of the to-be-detected asphalt, and obtaining a first physical performance parameter of the to-be-detected asphalt sample; determining an overall asphalt stripping state detection score according to the stripping area, the stripping depth and the first physical performance parameter; and generating a detection report according to the overall asphalt aging state detection score and the overall asphalt stripping state detection score. According to the invention, the overall aging state and the overall stripping state of asphalt can be evaluated, and the accuracy and comprehensiveness of asphalt aging and stripping state detection are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of asphalt detection, and in particular to a method and system for detecting asphalt aging and peeling status. Background Art

[0002] In related technology, CN112213473B discloses a method for measuring asphalt aging. The method involves aging production asphalt to obtain aged asphalt, adding the aged asphalt to production asphalt in varying proportions to obtain mixed asphalt, and then using the mixed asphalt to prepare an asphalt mixture. The splitting tensile strength and tensile strain at failure of the asphalt mixture are then measured. A curve with an inflection point is then used to calculate the asphalt aging index (A) based on the amount of asphalt added and the tensile strain at failure component. This method, which directly tests the asphalt mixture, can objectively and accurately reflect the impact of asphalt aging on the low-temperature crack resistance of the asphalt mixture, providing valuable insights into asphalt quality assessment and on-site production guidance.

[0003] CN114002418B discloses a method for rapidly evaluating the aging level of asphalt. Multiple samples are taken during the process of simulating long-term aging in an asphalt chamber to obtain the composite shear modulus of the asphalt binder at a set temperature at different aging times, and a prediction model is established based on the relationship between the two. A rheometer is then used to obtain the composite shear modulus of the same asphalt binder to be tested at the same set temperature, and the aging time of the asphalt binder to be tested is obtained using the prediction model. This approach can rapidly evaluate the aging level of asphalt by establishing a prediction model of the composite shear modulus and aging time during the long-term aging of asphalt. It only requires measuring the composite shear modulus of the same asphalt to be tested, and can accurately determine the degree of aging of the asphalt to be tested. It can also identify asphalt mixtures to be recycled with different service lives, classify and store them, and optimize the dosage of thermally regenerated asphalt mixtures to maximize the economic benefits of thermal regeneration technology.

[0004] Based on the above related technologies, the aging degree of the asphalt to be tested can be accurately determined. However, the related technologies do not consider the problem of how to detect the peeling state of the asphalt, that is, it is impossible to evaluate the overall aging state and overall peeling state of the asphalt based on the physical properties and chemical composition of the asphalt, as well as the peeling area and peeling depth at the peeling position of the asphalt.

[0005] The information disclosed in the background technology section of this application is only intended to deepen the understanding of the general background technology of this application, and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. Summary of the Invention

[0006] The present invention provides a method for detecting asphalt aging and peeling status, which can solve the technical problem that related technologies cannot evaluate the overall aging status and overall peeling status of asphalt based on the physical properties and chemical composition of asphalt, as well as the peeling area and peeling depth at the peeling position of asphalt.

[0007] According to a first aspect of the present invention, a method for detecting asphalt aging and stripping status is provided, comprising: randomly sampling the asphalt to be tested to obtain a plurality of asphalt samples to be tested, and determining the sampling coordinates of the asphalt samples to be tested in a preset coordinate system, wherein the preset coordinate system is a coordinate system established based on a preset origin within the range of the sampling ground; detecting physical property parameters and chemical composition parameters of the asphalt samples to be tested, wherein the physical property parameters include: needle penetration, softening point and ductility, and wherein the chemical composition parameters include: oil content, asphaltene content and resin content; determining an overall asphalt aging status detection score based on the physical property parameters and the chemical composition parameters; measuring the stripping area and stripping depth at each stripping position of the asphalt to be tested by a measuring instrument, and obtaining a first physical property parameter of the asphalt sample to be tested at the stripping position, wherein the first physical property parameter includes: needle penetration, softening point, ductility and viscosity; determining an overall asphalt stripping status detection score based on the stripping area, the stripping depth and the first physical property parameter; and generating a test report based on the overall asphalt aging status detection score and the overall asphalt stripping status detection score.

[0008] According to a second aspect of the present invention, there is provided an asphalt aging and stripping state detection system, comprising: a sampling detection module for randomly sampling the asphalt to be tested, obtaining a plurality of asphalt samples to be tested, and determining the sampling coordinates of the asphalt samples to be tested in a preset coordinate system, wherein the preset coordinate system is a coordinate system established based on a preset origin within the range of the sampling ground; a sample detection module for detecting the physical performance parameters and chemical composition parameters of the asphalt samples to be tested, wherein the physical performance parameters include needle penetration, softening point and ductility, wherein the chemical composition parameters include oil content, asphaltene content and resin content; an aging detection scoring module for scoring the physical performance parameters and chemical composition parameters of the asphalt samples to be tested according to the physical performance parameters. performance parameters and the chemical composition parameters, to determine the overall asphalt aging status detection score; a peeling detection module, for measuring the peeling area and peeling depth at each peeling position of the asphalt to be tested by a measuring instrument, and obtaining the first physical performance parameters of the asphalt sample to be tested at the peeling position, wherein the first physical performance parameters include: needle penetration, softening point, elongation and viscosity; a peeling detection scoring module, for determining the overall asphalt peeling status detection score according to the peeling area, the peeling depth and the first physical performance parameters; a test report module, for generating a test report according to the overall asphalt aging status detection score and the overall asphalt peeling status detection score.

[0009] Technical effect: According to the present invention, the overall aging state of the asphalt to be tested can be evaluated based on the physical properties, chemical composition and sampling position of the asphalt sample to be tested in a preset coordinate system. The overall stripping state of the asphalt to be tested can be evaluated based on the stripping area, stripping depth and physical properties of the asphalt sample to be tested at the stripping position. Furthermore, a test report can be generated based on the overall aging state and overall stripping state of the asphalt to be tested, thereby improving the accuracy and comprehensiveness of asphalt aging and stripping state detection. When determining the asphalt aging degree coefficient, the asphalt aging degree coefficient can be determined based on the initial physical property vector, the initial chemical composition vector, the physical property vector and the chemical composition vector. During the calculation process, the aging degree of the asphalt sample to be tested can be evaluated based on both the physical property status and the chemical composition status of the asphalt sample to be tested, thereby improving the accuracy and comprehensiveness of the asphalt aging degree coefficient. When determining the overall asphalt aging status detection score, the overall asphalt aging status detection score can be determined based on the asphalt aging degree coefficient of each sampling point in the sampling point combination and the coordinates of each sampling point on the z-axis of the preset coordinate system. During the calculation process, the relationship between the asphalt aging degree at the sampling point and the depth of the sampling point can be accurately analyzed, and the relative aging degree at the sampling point can be determined based on this relationship. Furthermore, based on the relative aging degree of each sampling point in the sampling point combination, the most severe overall asphalt aging degree at the sampling point combination is determined, thereby improving the accuracy and comprehensiveness of the overall asphalt aging status detection score. When determining the overall asphalt stripping status detection score, the overall asphalt stripping status detection score can be determined based on the stripping area, stripping depth, and a first physical property parameter. During the calculation process, the stripping degree at each stripping location can be evaluated based on the stripping area and stripping depth at the stripping location. Furthermore, using a conditional function, the stripping state at each stripping location can be determined based on the stripping degree and physical property parameter at each stripping location, respectively, for cases where the stripping degree is more severe and cases where the stripping degree is less severe, thereby improving the accuracy and comprehensiveness of the overall asphalt stripping status detection score.

[0010] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and not limiting of the present invention. Other features and aspects of the present invention will become more apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can derive other embodiments based on these drawings without inventive efforts. Figure 1 A schematic diagram exemplarily illustrates a flow chart of a method for detecting asphalt aging and peeling status according to an embodiment of the present invention; Figure 2 A block diagram of an asphalt aging and peeling state detection system according to an embodiment of the present invention is exemplarily shown. DETAILED DESCRIPTION

[0012] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0013] The following specific embodiments are used to describe the technical solution of the present invention in detail. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0014] Figure 1The flowchart of the asphalt aging and peeling state detection method according to an embodiment of the present invention is exemplarily shown, and the method comprises: step S101, randomly sampling the asphalt to be tested to obtain a plurality of asphalt samples to be tested, and determining the sampling coordinates of the asphalt samples to be tested in a preset coordinate system, wherein the preset coordinate system is a coordinate system established based on a preset origin within the range of the sampling ground; step S102, detecting the physical performance parameters and chemical composition parameters of the asphalt samples to be tested, wherein the physical performance parameters include: needle penetration, softening point and ductility, wherein the chemical composition parameters include: oil content, asphaltene content and resin content; step S103, based on According to the physical property parameters and the chemical composition parameters, the overall asphalt aging state detection score is determined; in step S104, the stripping area and stripping depth at each stripping position of the asphalt to be tested are measured by a measuring instrument, and the first physical property parameters of the asphalt sample to be tested at the stripping position are obtained, wherein the first physical property parameters include: needle penetration, softening point, elongation and viscosity; in step S105, the overall asphalt stripping state detection score is determined according to the stripping area, the stripping depth and the first physical property parameters; in step S106, a test report is generated according to the overall asphalt aging state detection score and the overall asphalt stripping state detection score.

[0015] According to the asphalt aging and stripping state detection method of an embodiment of the present invention, the overall aging state of the asphalt to be tested can be evaluated based on the physical properties, chemical composition and sampling position of the asphalt sample to be tested in a preset coordinate system. The overall stripping state of the asphalt to be tested can be evaluated based on the stripping area, stripping depth and physical properties of the asphalt sample to be tested at the stripping position. Furthermore, a detection report is generated based on the overall aging state and overall stripping state of the asphalt to be tested, thereby improving the accuracy and comprehensiveness of asphalt aging and stripping state detection.

[0016] According to one embodiment of the present invention, in step S101, random sampling is performed on the asphalt to be tested to obtain multiple asphalt samples to be tested, and the sampling coordinates of the asphalt samples to be tested in a preset coordinate system are determined, wherein the preset coordinate system is a coordinate system established based on a preset origin within the range of the sampling ground.

[0017] For example, if the asphalt to be tested is asphalt on a paved road, when sampling the paved road, several random sampling locations are determined based on the length and area of ​​the road, and it is ensured that these random sampling locations can reflect the overall condition of the road. At the random sampling locations, layered sampling is performed for asphalt of different depths. At the determined sampling points, sampling is started from below the road surface with a shovel or sampler. When sampling, it is necessary to avoid causing unnecessary damage to the road surface. A preset origin in the sampling ground is used as the coordinate origin, and a preset coordinate system is established with the vertical downward direction as the positive direction of the z-axis of the coordinate system. The sampling coordinates of each sampling point in the preset coordinate system are determined.

[0018] According to one embodiment of the present invention, in step S102, the physical property parameters and chemical composition parameters of the asphalt sample to be tested are detected, wherein the physical property parameters include: needle penetration, softening point and ductility, wherein the chemical composition parameters include: oil content, asphaltene content and resin content.

[0019] For example, a penetrometer is used to measure the penetration of the asphalt sample to be tested, a softening point tester is used to measure the softening point of the asphalt sample to be tested, and a ductility meter is used to measure the ductility of the asphalt sample to be tested. Professional instruments and equipment (for example, a spectrometer) are used to perform chemical analysis on the asphalt sample to understand its chemical composition and determine the oil content, asphaltene content, and resin content of the asphalt sample to be tested.

[0020] According to one embodiment of the present invention, in step S103, the overall asphalt aging state detection score is determined based on the physical property parameters and the chemical composition parameters.

[0021] According to one embodiment of the present invention, step S103 includes: obtaining initial physical property parameters and initial chemical composition parameters during asphalt paving, wherein the initial physical property parameters include: initial needle penetration, initial softening point and initial ductility, wherein the initial chemical composition parameters include: initial oil content, initial asphaltene content and initial resin content; determining an initial physical property vector based on the initial needle penetration, the initial softening point and the initial ductility; determining an initial chemical composition vector based on the initial oil content, the initial asphaltene content and the initial resin content; determining a physical property vector based on the needle penetration, the softening point and the ductility; determining a chemical composition vector based on the oil content, the asphaltene content and the resin content; determining an asphalt aging degree coefficient based on the initial physical property vector, the initial chemical composition vector, the physical property vector and the chemical composition vector; determining an overall asphalt aging status detection score based on the asphalt aging degree coefficient and the sampling coordinates.

[0022] For example, the initial penetration, initial softening point, initial ductility, initial oil content, initial asphalt content and initial resin content of asphalt during paving are obtained through the construction data and data recorded by the management system; the initial physical property vector of asphalt during paving is determined based on the initial penetration, initial softening point and initial ductility; the initial chemical composition vector of asphalt during paving is determined based on the initial oil content, initial asphalt content and initial resin content; the physical property vector of the current asphalt sample to be tested is determined based on the penetration, softening point and ductility; the chemical composition vector of the current asphalt sample to be tested is determined based on the oil content, asphalt content and resin content; the aging degree of each asphalt sample to be tested is evaluated based on the initial physical property vector, initial chemical composition vector, physical property vector and chemical composition vector, and the asphalt aging degree coefficient at each sampling point is determined; the overall aging degree of the asphalt on the sampled ground is evaluated based on the asphalt aging degree coefficient and sampling coordinates of each asphalt sample to be tested, and the overall asphalt aging status detection score is determined.

[0023] According to one embodiment of the present invention, the asphalt aging degree coefficient is determined based on the initial physical property vector, the initial chemical composition vector, the physical property vector and the chemical composition vector, including: determining the asphalt aging degree coefficient at the kth sampling point according to formula (1): , (1), in, and is the preset weight, is the needle penetration of the asphalt sample to be tested at the kth sampling point, is the softening point of the asphalt sample to be tested at the kth sampling point, is the ductility of the asphalt sample to be tested at the kth sampling point, is the initial needle penetration, is the initial softening point, is the initial ductility, is the physical property vector of the asphalt sample to be tested at the kth sampling point, for The transposed vector of is the initial physical performance vector, is the oil content of the asphalt sample to be tested at the kth sampling point, is the asphaltene content of the asphalt sample to be tested at the kth sampling point, is the resin content of the asphalt sample to be tested at the kth sampling point, is the initial oil content, is the initial asphaltene content, is the initial resin content, is the chemical composition vector of the asphalt sample to be tested at the kth sampling point, for The transposed vector of is the initialization chemical component vector.

[0024] According to one embodiment of the present invention, asphalt undergoes physical property changes during aging, such as decreased penetration, increased softening point, and decreased ductility. The greater the variation in penetration, softening point, and ductility, the higher the degree of aging of the asphalt. is the cosine similarity between the physical property vector of the asphalt sample to be tested at the k-th sampling point and the initial physical property vector. The smaller the similarity, the greater the difference between the needle penetration, softening point and ductility of the asphalt sample to be tested at the k-th sampling point and the initial needle penetration, initial softening point and initial ductility when the asphalt is paved. The higher the degree of asphalt aging reflected by the physical property of the asphalt sample to be tested at the k-th sampling point. During the aging process of asphalt, the chemical composition of the asphalt will change, such as the decrease in oil content, increase in asphaltene content and decrease in resin content. The greater the change in oil content, asphaltene content and resin content, the higher the degree of asphalt aging. It is the cosine similarity between the chemical composition vector of the asphalt sample to be tested at the k-th sampling point and the initial chemical composition vector. The smaller the similarity, the greater the difference between the oil content, asphaltene content and resin content of the asphalt sample to be tested at the k-th sampling point and the initial oil content, initial asphaltene content and initial resin content at the time of asphalt paving, and the higher the degree of asphalt aging reflected by the chemical composition of the asphalt sample to be tested at the k-th sampling point.

[0025] According to one embodiment of the present invention, It means that the aging degree of asphalt at the k-th sampling point is evaluated based on the physical properties and chemical composition of the asphalt sample to be tested at the k-th sampling point.

[0026] In this way, the asphalt aging degree coefficient can be determined based on the initial physical property vector, the initial chemical composition vector, the physical property vector and the chemical composition vector. During the calculation process, the aging degree of the asphalt sample to be tested can be evaluated based on the physical property status and chemical composition status of the asphalt sample to be tested, thereby improving the accuracy and comprehensiveness of the asphalt aging degree coefficient.

[0027] According to one embodiment of the present invention, the overall asphalt aging status detection score is determined based on the asphalt aging degree coefficient and the sampling coordinates, including: determining a sampling point combination based on the sampling coordinates, wherein the sampling points in the sampling point combination have the same coordinates on the x-axis and y-axis in the preset coordinate system, and the number of sampling points in each sampling point combination is the same; obtaining the asphalt aging degree coefficient of each sampling point in the sampling point combination and the coordinates of each sampling point on the z-axis of the preset coordinate system; determining the overall asphalt aging status detection score based on the asphalt aging degree coefficient of each sampling point in the sampling point combination and the coordinates of each sampling point on the z-axis of the preset coordinate system.

[0028] For example, the sampling points in each sampling point combination have the same sampling position in the sampling ground, but different sampling depths (for example, the coordinates of the sampling points in the first sampling point combination in the preset coordinate system are (1, 2, 1), (1, 2, 3), (1, 2, 5), (1, 2, 7), (1, 2, 9)); by detecting the physical properties and chemical composition of the asphalt samples to be tested at each sampling point, the asphalt aging degree coefficient of each sampling point in the sampling point combination is obtained, and the coordinates of each sampling point on the z-axis of the preset coordinate system are determined; based on the asphalt aging degree coefficient of each sampling point in the sampling point combination and the coordinates of each sampling point on the z-axis of the preset coordinate system, the overall aging degree of the asphalt on the sampling ground is evaluated to determine the overall asphalt aging status detection score.

[0029] According to one embodiment of the present invention, the overall asphalt aging status detection score is determined based on the asphalt aging degree coefficient of each sampling point in the sampling point combination and the coordinates of each sampling point on the z-axis of the preset coordinate system, including: determining the overall asphalt aging status detection score according to formula (2): , (2), Among them, max is the maximum value function, is the preset weight, is the asphalt aging coefficient at the jth sampling point in the i-th sampling point combination, To preset the threshold value of asphalt aging coefficient, is the coordinate of the jth sampling point in the ith sampling point combination on the z-axis of the preset coordinate system, m is the number of sampling points in the sampling point combination, j≤m, n is the number of sampling point combinations, i≤n, and i, j, m, and n are all positive integers.

[0030] According to one embodiment of the present invention, asphalt pavement is subject to different degrees of environmental factors (e.g., ultraviolet rays, oxygen, and temperature) and traffic loads at different depths, the degree of aging of the asphalt at each sampling point is different. Under normal circumstances, the degree of aging of the asphalt at a deeper sampling point is relatively low. Therefore, the preset standard asphalt aging coefficients corresponding to sampling points at different depths are also different. The ratio of the preset asphalt aging coefficient threshold to the coordinate of the j-th sampling point in the i-th sampling point combination on the z-axis of the preset coordinate system represents the standard aging coefficient of the asphalt at the sampling point. The standard aging coefficient corresponding to the sampling point is negatively correlated with the depth of the sampling point. is the relative difference between the asphalt aging coefficient at the jth sampling point in the i-th sampling point combination and the standard aging coefficient at the jth sampling point in the i-th sampling point combination. The larger the ratio, the larger the asphalt aging coefficient at the jth sampling point in the i-th sampling point combination relative to the standard aging coefficient of the sampling point, indicating that the relative aging degree of the asphalt sample to be tested at the jth sampling point in the i-th sampling point combination is higher. When there are more sampling points with higher relative aging degrees in the same sampling point combination, the preset weight corresponding to the sampling point is The larger the value of It represents the maximum value of the sum of the products of the relative aging degree of the asphalt samples to be tested and the corresponding weights of the m sampling points in the i-th sampling point combination. For example, when the first sampling point in the i-th sampling point combination is The value is 1.3, the value at the second sampling point is 0.6, and the value at the third sampling point is 1.1. The preset weights are 、 and , ,but The value of , which means that when there are more sampling points with higher relative aging degree in the same sampling point combination, the impact on the sampling point combination will become more serious as the number of sampling points with higher relative aging degree increases. The change is in the form of a combination of exponential function and linear function. The linear function part of the change indicates that the aging degree of a single sampling point increases, which makes the overall aging degree of the sampling point combination increase at a uniform rate. The exponential function in the change of indicates that as the number of sampling points with relatively high aging degrees increases, the impact on the overall aging degree of the sampling point combination increases rapidly, and it does not increase at a uniform rate. The above method of finding the maximum value by allocating weight values ​​can be used to solve the situation where the overall asphalt aging degree at the i-th sampling point combination is the most serious. It means that the overall asphalt aging status of the sampled ground is determined by performing a summation operation based on the number of sampling point combinations.

[0031] In this way, the overall asphalt aging status detection score can be determined based on the asphalt aging degree coefficient of each sampling point in the sampling point combination and the coordinates of each sampling point on the z-axis of the preset coordinate system. During the calculation process, the relationship between the asphalt aging degree at the sampling point and the depth of the sampling point can be accurately analyzed, and the relative aging degree at the sampling point can be determined based on the relationship. Furthermore, based on the relative aging degree of each sampling point in the sampling point combination, the most serious overall asphalt aging degree at the sampling point combination is determined, thereby improving the accuracy and comprehensiveness of the overall asphalt aging status detection score.

[0032] According to one embodiment of the present invention, in step S104, the stripping area and stripping depth at each stripping position of the asphalt to be tested are measured by a measuring instrument, and the first physical property parameters of the asphalt sample to be tested at the stripping position are obtained, wherein the first physical property parameters include: needle penetration, softening point, ductility and viscosity.

[0033] For example, the length and width of the stripping position of the asphalt to be tested are measured by a soft ruler or a ruler to determine the stripping area. The stripping depth of the stripping position of the asphalt to be tested is measured by a depth gauge or a laser altimeter. The penetration, softening point, elongation and viscosity of the asphalt sample to be tested at the surface of the stripping position are obtained by professional measuring methods and instruments.

[0034] According to one embodiment of the present invention, in step S105, the overall asphalt stripping state detection score is determined based on the stripping area, the stripping depth and the first physical property parameter.

[0035] According to one embodiment of the present invention, step S105 includes: determining the overall asphalt stripping state detection score according to formula (3): , (3), Among them, if is a conditional function, is the peeling area at the rth peeling position, is the peeling depth at the rth peeling position, is the preset peeling degree threshold, is the softening point at the rth peeling position, is the viscosity at the rth peeling position, is the ductility at the rth peeling position, is the needle penetration at the rth peeling position, R is the number of peeling positions, r≤R, and both r and R are positive integers.

[0036] According to one embodiment of the present invention, In order to determine the peeling degree at the rth peeling position based on the peeling area and peeling depth at the rth peeling position, the change in the peeling degree is in the form of an exponential function, which means that as the peeling depth and peeling area at the rth peeling position increase, the impact on the peeling degree at the peeling position increases at an accelerated and non-uniform rate.

[0037] According to one embodiment of the present invention, in formula (3), the conditional function The value of includes the following two cases, when satisfying When the condition is , it means that the peeling degree at the rth peeling position is more serious, and the value of the condition function is , The relative difference between the peeling degree at the rth peeling position and the preset peeling degree threshold value. The larger the ratio, the greater the peeling degree at the rth peeling position. When the condition is , it means that the peeling degree at the rth peeling position is relatively slight, and the value of the condition function is , It indicates the possibility that the degree of peeling at the rth peeling position will continue to increase. The larger the value of is, the greater the possibility of the peeling degree is. It indicates that the degree of stripping and needle penetration at the rth stripping position are positively correlated with the possibility that the degree of stripping at the rth stripping position will continue to intensify, and the viscosity, ductility and softening point at the rth stripping position are negatively correlated with the possibility that the degree of stripping at the rth stripping position will continue to intensify. For example, when the needle penetration of the asphalt is greater, it means that the asphalt is softer and more likely to be deformed by external forces, and the possibility that the asphalt will continue to strip is greater. When the current degree of stripping of the asphalt is greater, the possibility that the asphalt will continue to strip is greater. When the softening point of the asphalt is smaller, the temperature sensitivity of the asphalt is higher, and it is easy to flow and deform at high temperatures, and the possibility that the asphalt will continue to strip is greater. When the viscosity of the asphalt is smaller, the asphalt is easier to separate from the aggregate, and the possibility that the asphalt will continue to strip is greater. When the ductility of the asphalt is smaller, the ductility and crack resistance of the asphalt are worse, and the stability when subjected to external forces is worse, and the possibility that the asphalt will continue to strip is greater. A larger value indicates that the peeling degree at the r-th peeling position is more serious, or the possibility that the peeling degree at the r-th peeling position will continue to worsen is greater. The overall asphalt stripping state of the asphalt to be tested is determined by summing the number of stripping locations.

[0038] In this way, the overall asphalt stripping status detection score can be determined based on the stripping area, stripping depth and the first physical property parameter. During the calculation process, the stripping degree at each stripping position can be evaluated based on the stripping area and stripping depth at the asphalt stripping position. Furthermore, in the form of a conditional function, the stripping status at each stripping position when the stripping degree is more severe and when the stripping degree is relatively mild can be determined respectively, thereby improving the accuracy and comprehensiveness of the overall asphalt stripping status detection score.

[0039] According to one embodiment of the present invention, in step S106, a test report is generated based on the overall asphalt aging state test score and the overall asphalt stripping state test score.

[0040] According to one embodiment of the present invention, step S106 includes: if the overall asphalt aging state detection score is greater than or equal to the set overall asphalt aging state detection score threshold, generating an asphalt aging warning report; if the overall asphalt stripping state detection score is greater than or equal to the set overall asphalt stripping state detection score threshold, generating an asphalt stripping warning report.

[0041] For example, if the overall asphalt aging status detection score is greater than the set overall asphalt aging status detection score threshold, it means that the overall aging status of the asphalt is poor, and an asphalt aging warning report is generated to notify the staff to perform maintenance and repairs on the sampling ground; if the overall asphalt stripping status detection score is greater than the set overall asphalt stripping status detection score threshold, it means that the overall stripping status of the asphalt is poor, and an asphalt stripping warning report is generated to notify the staff to perform maintenance and repairs on the sampling ground.

[0042] According to the asphalt aging and stripping state detection method of an embodiment of the present invention, the overall aging state of the asphalt to be tested can be evaluated based on the physical properties, chemical composition, and sampling position of the asphalt sample to be tested in a preset coordinate system. The overall stripping state of the asphalt to be tested can be evaluated based on the stripping area, stripping depth, and physical properties of the asphalt sample to be tested at the stripping position. Furthermore, a test report is generated based on the overall aging state and overall stripping state of the asphalt to be tested, thereby improving the accuracy and comprehensiveness of asphalt aging and stripping state detection. When determining the asphalt aging degree coefficient, the asphalt aging degree coefficient can be determined based on the initial physical property vector, the initial chemical composition vector, the physical property vector, and the chemical composition vector. During the calculation process, the aging degree of the asphalt sample to be tested can be evaluated based on both the physical property status and the chemical composition status of the asphalt sample to be tested, thereby improving the accuracy and comprehensiveness of the asphalt aging degree coefficient. When determining the overall asphalt aging status detection score, the overall asphalt aging status detection score can be determined based on the asphalt aging degree coefficient of each sampling point in the sampling point combination and the coordinates of each sampling point on the z-axis of the preset coordinate system. During the calculation process, the relationship between the asphalt aging degree at the sampling point and the depth of the sampling point can be accurately analyzed, and the relative aging degree at the sampling point can be determined based on this relationship. Furthermore, based on the relative aging degree of each sampling point in the sampling point combination, the most severe overall asphalt aging degree at the sampling point combination is determined, thereby improving the accuracy and comprehensiveness of the overall asphalt aging status detection score. When determining the overall asphalt stripping status detection score, the overall asphalt stripping status detection score can be determined based on the stripping area, stripping depth, and a first physical property parameter. During the calculation process, the stripping degree at each stripping location can be evaluated based on the stripping area and stripping depth at the stripping location. Furthermore, using a conditional function, the stripping state at each stripping location can be determined based on the stripping degree and physical property parameter at each stripping location, respectively, for cases where the stripping degree is more severe and cases where the stripping degree is less severe, thereby improving the accuracy and comprehensiveness of the overall asphalt stripping status detection score.

[0043] Figure 2The block diagram of the asphalt aging and peeling state detection system according to an embodiment of the present invention is exemplarily shown, wherein the system comprises: a sampling detection module for randomly sampling the asphalt to be tested, obtaining a plurality of asphalt samples to be tested, and determining the sampling coordinates of the asphalt samples to be tested in a preset coordinate system, wherein the preset coordinate system is a coordinate system established based on a preset origin within the range of the sampling ground; a sample detection module for detecting the physical performance parameters and chemical composition parameters of the asphalt samples to be tested, wherein the physical performance parameters include needle penetration, softening point and ductility, wherein the chemical composition parameters include oil content, asphaltene content and resin content; an aging detection scoring module for scoring the asphalt samples according to the aging detection score. The physical property parameters and the chemical composition parameters are used to determine the overall asphalt aging status detection score; the stripping detection module is used to measure the stripping area and stripping depth at each stripping position of the asphalt to be tested by a measuring instrument, and obtain the first physical property parameters of the asphalt sample to be tested at the stripping position, wherein the first physical property parameters include: needle penetration, softening point, elongation and viscosity; the stripping detection scoring module is used to determine the overall asphalt stripping status detection score based on the stripping area, the stripping depth and the first physical property parameters; the detection report module is used to generate a detection report based on the overall asphalt aging status detection score and the overall asphalt stripping status detection score.

[0044] The present invention may be a method, an apparatus, a system and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for executing various aspects of the present invention.

[0045] Those skilled in the art will appreciate that the embodiments of the present invention described above and shown in the accompanying drawings are intended to be illustrative only and are not intended to limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and illustrated in the embodiments. Any variations or modifications may be made to the embodiments of the present invention without departing from the principles described.

Claims

1. A method for detecting asphalt aging and peeling state, characterized in that: include: Randomly sample the asphalt to be tested to obtain multiple asphalt samples to be tested, and determine the sampling coordinates of the asphalt samples to be tested in a preset coordinate system, wherein the preset coordinate system is a coordinate system established based on a preset origin within the range of the sampling ground; detect the physical property parameters and chemical composition parameters of the asphalt samples to be tested, wherein the physical property parameters include: needle penetration, softening point and ductility, wherein the chemical composition parameters include: oil content, asphaltene content and resin content; determine the overall asphalt aging state detection score based on the physical property parameters and the chemical composition parameters; measure the stripping area and stripping depth at each stripping position of the asphalt to be tested by a measuring instrument, and obtain the first physical property parameter of the asphalt sample to be tested at the stripping position, wherein the first physical property parameter includes: needle penetration, softening point, ductility and viscosity; determine the overall asphalt stripping state detection score based on the stripping area, the stripping depth and the first physical property parameter; generate a test report based on the overall asphalt aging state detection score and the overall asphalt stripping state detection score.

2. The asphalt aging and peeling state detection method according to claim 1 is characterized in that: According to the physical property parameters and the chemical composition parameters, the overall asphalt aging state detection score is determined, including: obtaining the initial physical property parameters and the initial chemical composition parameters when asphalt is paved, wherein the initial physical property parameters include: initial needle penetration, initial softening point and initial ductility, wherein the initial chemical composition parameters include: initial oil content, initial asphaltene content and initial resin content; determining an initial physical property vector according to the initial needle penetration, the initial softening point and the initial ductility; determining an initial chemical composition vector according to the initial oil content, the initial asphaltene content and the initial resin content; determining a physical property vector according to the needle penetration, the softening point and the ductility; determining a chemical composition vector according to the oil content, the asphaltene content and the resin content; determining an asphalt aging degree coefficient according to the initial physical property vector, the initial chemical composition vector, the physical property vector and the chemical composition vector; determining the overall asphalt aging state detection score according to the asphalt aging degree coefficient and the sampling coordinates.

3. The asphalt aging and peeling state detection method according to claim 2 is characterized in that: Determining the asphalt aging degree coefficient according to the initial physical property vector, the initial chemical composition vector, the physical property vector and the chemical composition vector includes: according to the formula , determine the asphalt aging coefficient at the kth sampling point ,in, and is the preset weight, is the needle penetration of the asphalt sample to be tested at the kth sampling point, is the softening point of the asphalt sample to be tested at the kth sampling point, is the ductility of the asphalt sample to be tested at the kth sampling point, is the initial needle penetration, is the initial softening point, is the initial elongation, is the physical property vector of the asphalt sample to be tested at the kth sampling point, for The transposed vector of is the initial physical performance vector, is the oil content of the asphalt sample to be tested at the kth sampling point, is the asphaltene content of the asphalt sample to be tested at the kth sampling point, is the resin content of the asphalt sample to be tested at the kth sampling point, is the initial oil content, is the initial asphaltene content, is the initial resin content, is the chemical composition vector of the asphalt sample to be tested at the kth sampling point, for The transposed vector of is the initialization chemical component vector.

4. The asphalt aging and peeling state detection method according to claim 2, characterized in that: According to the asphalt aging degree coefficient and the sampling coordinates, the overall asphalt aging status detection score is determined, including: according to the sampling coordinates, determining a sampling point combination, wherein the sampling points in the sampling point combination have the same coordinates on the x-axis and y-axis in the preset coordinate system, and the number of sampling points in each sampling point combination is the same; obtaining the asphalt aging degree coefficient of each sampling point in the sampling point combination and the coordinates of each sampling point on the z-axis of the preset coordinate system; according to the asphalt aging degree coefficient of each sampling point in the sampling point combination and the coordinates of each sampling point on the z-axis of the preset coordinate system, determining the overall asphalt aging status detection score.

5. The asphalt aging and peeling state detection method according to claim 4, characterized in that: According to the asphalt aging degree coefficient of each sampling point in the sampling point combination and the coordinates of each sampling point on the z-axis of the preset coordinate system, the overall asphalt aging state detection score is determined, including: according to the formula , determine the overall asphalt aging status test score , where max is the maximum value function, is the preset weight, is the asphalt aging coefficient at the jth sampling point in the i-th sampling point combination, To preset the asphalt aging coefficient threshold, is the coordinate of the jth sampling point in the ith sampling point combination on the z-axis of the preset coordinate system, m is the number of sampling points in the sampling point combination, j≤m, n is the number of sampling point combinations, i≤n, and i, j, m and n are all positive integers.

6. The asphalt aging and peeling state detection method according to claim 1, characterized in that: Determining the overall asphalt stripping state detection score according to the stripping area, the stripping depth and the first physical property parameter, including: according to the formula , determine the overall asphalt stripping status test score , where if is a conditional function, is the peeling area at the rth peeling position, is the peeling depth at the rth peeling position, is the preset peeling degree threshold, is the softening point at the rth peeling position, is the viscosity at the rth peeling position, is the ductility at the rth peeling position, is the needle penetration at the rth peeling position, R is the number of peeling positions, r≤R, r and R are both positive integers.

7. The asphalt aging and peeling state detection method according to claim 1, characterized in that: A test report is generated based on the overall asphalt aging status detection score and the overall asphalt stripping status detection score, including: if the overall asphalt aging status detection score is greater than or equal to the set overall asphalt aging status detection score threshold, an asphalt aging warning report is generated; if the overall asphalt stripping status detection score is greater than or equal to the set overall asphalt stripping status detection score threshold, an asphalt stripping warning report is generated.

8. An asphalt aging and peeling state detection system, characterized in that: include: The sampling detection module is used to randomly sample the asphalt to be tested, obtain multiple asphalt samples to be tested, and determine the sampling coordinates of the asphalt samples to be tested in a preset coordinate system, wherein the preset coordinate system is a coordinate system established based on a preset origin within the range of the sampling ground; the sample detection module is used to detect the physical performance parameters and chemical composition parameters of the asphalt samples to be tested, wherein the physical performance parameters include: needle penetration, softening point and ductility, wherein the chemical composition parameters include: oil content, asphaltene content and resin content; the aging detection scoring module is used to determine the aging performance of the asphalt samples according to the physical performance parameters and the chemical composition parameters. An overall asphalt aging state detection score; a stripping detection module, used to measure the stripping area and stripping depth at each stripping position of the asphalt to be tested by a measuring instrument, and obtain the first physical property parameter of the asphalt sample to be tested at the stripping position, wherein the first physical property parameter includes: needle penetration, softening point, elongation and viscosity; a stripping detection scoring module, used to determine the overall asphalt stripping state detection score according to the stripping area, the stripping depth and the first physical property parameter; a test report module, used to generate a test report according to the overall asphalt aging state detection score and the overall asphalt stripping state detection score.

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