Method, device, equipment and storage medium for evaluating skeleton segregation characteristics of SMA pavement structure

Abstract

The present application provides a method, device, equipment and storage medium for evaluating the skeleton segregation characteristics of an SMA pavement structure, and relates to the field of image processing technology. The method comprises: processing a cross-sectional view of a test piece to be tested to obtain the aggregate ratio of the test piece to be tested; wherein the test piece to be tested is a test piece obtained in advance from a pavement structure laid on site; using a preset skeleton segregation characteristic index corresponding to the mixture ratio of the pavement structure, analyzing and evaluating the aggregate ratio of the test piece to be tested, and obtaining an evaluation result of the skeleton segregation characteristics of the test piece to be tested, and the evaluation result of the skeleton segregation characteristics is used to characterize the laying quality of the pavement structure. Compared with the prior art, the problem of lack of evaluation indicators for pavement quality is avoided.

Description

Technical Field

[0001] The present application relates to the field of image processing technology, and in particular to a method, device, equipment and storage medium for evaluating the skeleton segregation characteristics of an SMA pavement structure. Background Art

[0002] Stone matrix asphalt (SMA) is a skeleton-compacted asphalt concrete with the characteristics of anti-rutting, anti-cracking, anti-skid, water-tightness and durability. It has become a typical pavement structure for high-grade highways.

[0003] Unlike conventional asphalt mixtures, the characteristic of SMA asphalt mixtures is that their unique skeleton interlocking structure provides excellent pavement performance. In order to realize the formation of the SMA mixture skeleton structure, the Technical Specifications for Highway Asphalt Pavement Construction require that the coarse aggregate skeleton gap ratio VCAmix in the SMA asphalt mixture must be equal to or less than the gap ratio VCADRC of the coarse aggregate aggregate in the compacted state when no other aggregates or binders exist during gradation design. At present, during the on-site paving construction process, the on-site SMA pavement segregation often fails to form a skeleton structure due to gradation segregation and temperature segregation. Therefore, at this stage, the quality evaluation of SMA on-site construction is generally based on indicators such as compaction, thickness, and water permeability coefficient.

[0004] However, the segregation of the SMA skeleton structure cannot be evaluated, so the skeleton segregation cannot be effectively quantitatively analyzed. Summary of the invention

[0005] The purpose of this application is to provide a method, device, equipment and storage medium for evaluating the skeleton segregation characteristics of SMA pavement structure in view of the deficiencies in the above-mentioned prior art, so as to solve the problem that the prior art lacks evaluation indicators for pavement quality.

[0006] To achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:

[0007] In a first aspect, an embodiment of the present application provides a method for evaluating the skeleton segregation characteristics of an SMA pavement structure, the method comprising:

[0008] Processing the cross-sectional view of the test piece to be inspected to obtain the aggregate ratio of the test piece to be inspected; wherein the test piece to be inspected is a test piece obtained in advance from a pavement structure laid on site;

[0009] The preset skeleton segregation characteristic index corresponding to the mixture ratio of the pavement structure is used to analyze and evaluate the aggregate proportion of the test piece to be tested, so as to obtain the skeleton segregation characteristic evaluation result of the test piece to be tested, and the skeleton segregation characteristic evaluation result is used to characterize the paving quality of the pavement structure.

[0010] Optionally, before processing the cross-sectional view of the test piece to be inspected to obtain the aggregate proportion of the test piece to be inspected, the method further includes:

[0011] Processing the cross-sectional view of the sample specimen to obtain the aggregate ratio of the sample specimen; wherein the sample specimen is a specimen made according to the mixture ratio;

[0012] The preset skeleton segregation characteristic index is established according to the aggregate proportion of the sample specimen.

[0013] Optionally, establishing the preset skeleton segregation characteristic index according to the aggregate proportion of the sample specimen includes:

[0014] Determine an average aggregate ratio of the plurality of sample specimens according to an average value of the aggregate ratios of the plurality of sample specimens;

[0015] The preset skeleton segregation characteristic index is established according to the average aggregate proportion.

[0016] Optionally, the preset skeleton segregation characteristic index includes: at least one preset aggregate ratio threshold; the preset skeleton segregation characteristic index corresponding to the mixture ratio of the pavement structure is adopted to analyze and evaluate the aggregate ratio of the test piece to be tested, and the skeleton segregation characteristic evaluation result of the test piece to be tested is obtained, including:

[0017] Respectively comparing the at least one preset aggregate proportion threshold with the aggregate proportion of the test piece to be inspected;

[0018] According to the comparison result of the aggregate proportions, the skeleton segregation characteristic evaluation result of the test piece to be inspected is determined by using the correspondence between the preset multiple preset aggregate proportion comparison results and the skeleton segregation characteristic evaluation results.

[0019] Optionally, the at least one preset aggregate proportion threshold comprises: a first preset aggregate proportion threshold; the determining the skeleton segregation characteristic evaluation result of the test piece to be inspected according to the comparison result of the aggregate proportions, using a correspondence between preset multiple preset aggregate proportion comparison results and skeleton segregation characteristic evaluation results, comprises:

[0020] If the comparison result indicates that the aggregate proportion of the test piece to be tested is greater than the first preset aggregate proportion threshold, the corresponding relationship is used to determine that the skeleton segregation characteristic evaluation result of the test piece to be tested is a first evaluation result, and the first evaluation result is used to indicate that there is no skeleton segregation.

[0021] Optionally, the determining the skeleton segregation characteristic evaluation result of the test piece to be inspected by using a correspondence relationship between a plurality of preset aggregate proportion comparison results and skeleton segregation characteristic evaluation results according to the comparison result of the aggregate proportions also includes:

[0022] If the aggregate proportion of the test piece to be inspected is less than or equal to the first preset aggregate proportion threshold, the corresponding relationship is used to determine the skeleton segregation characteristic of the test piece to be inspected as a second evaluation result, and the second evaluation result is used to indicate the existence of skeleton segregation.

[0023] Optionally, the at least one preset aggregate proportion threshold value further includes: a second preset aggregate proportion threshold value that is less than the first preset aggregate proportion threshold value; the adopting the correspondence between the preset multiple preset aggregate proportion comparison results and the skeleton segregation characteristic evaluation result to determine that the skeleton segregation characteristic of the test piece to be tested is the second evaluation result includes:

[0024] If the aggregate proportion of the test piece to be tested is greater than the second preset aggregate proportion threshold value, and less than or equal to the first preset aggregate proportion threshold value, the corresponding relationship is adopted to determine that the first sub-evaluation result is the second evaluation result; wherein the first sub-evaluation result is used to indicate the presence of a first degree of skeleton segregation;

[0025] If the aggregate proportion of the test piece to be inspected is less than or equal to the second preset aggregate proportion threshold, the corresponding relationship between the preset multiple preset aggregate proportion comparison results and the skeleton segregation characteristic evaluation result is used to determine the second sub-evaluation result as the second evaluation result; wherein the first sub-evaluation result is used to indicate the presence of a second degree of skeleton segregation;

[0026] The second degree of framework segregation is higher than the first degree of framework segregation.

[0027] In a second aspect, another embodiment of the present application provides a device for evaluating the skeleton segregation characteristics of an SMA pavement structure, the device comprising: a processing module and an analysis module, wherein:

[0028] The processing module is used to process the cross-sectional view of the test piece to be inspected to obtain the aggregate ratio of the test piece to be inspected; wherein the test piece to be inspected is a test piece obtained in advance from a pavement structure laid on site;

[0029] The analysis module is used to analyze and evaluate the aggregate proportion of the test piece to be tested by adopting the preset skeleton segregation characteristic index corresponding to the mixture ratio of the pavement structure, and obtain the skeleton segregation characteristic evaluation result of the test piece to be tested. The skeleton segregation characteristic evaluation result is used to characterize the paving quality of the pavement structure.

[0030] Optionally, the device further comprises: an establishment module, wherein:

[0031] The processing module is specifically used to process the cross-sectional view of the sample specimen to obtain the aggregate ratio of the sample specimen; wherein the sample specimen is a specimen made according to the mixture ratio;

[0032] The establishing module is used to establish the preset skeleton segregation characteristic index according to the aggregate proportion of the sample specimen.

[0033] Optionally, the device further comprises: a determination module, configured to determine an average aggregate proportion of the plurality of sample specimens according to an average value of the aggregate proportions of the plurality of sample specimens;

[0034] The establishing module is specifically used to establish the preset skeleton segregation characteristic index according to the average aggregate proportion.

[0035] Optionally, the preset skeleton segregation characteristic index includes: at least one preset aggregate proportion threshold; the device further includes: a comparison module, used to compare the at least one preset aggregate proportion threshold with the aggregate proportion of the test piece to be tested;

[0036] The determination module is specifically used to determine the skeleton segregation characteristic evaluation result of the test piece to be inspected according to the comparison result of the aggregate proportions and the correspondence between the preset multiple preset aggregate proportion comparison results and the skeleton segregation characteristic evaluation results.

[0037] Optionally, the at least one preset aggregate proportion threshold comprises: a first preset aggregate proportion threshold;

[0038] The determination module is specifically used to adopt the corresponding relationship to determine that the evaluation result of the skeleton segregation characteristic of the test piece to be tested is a first evaluation result if the comparison result indicates that the aggregate proportion of the test piece to be tested is greater than the first preset aggregate proportion threshold, and the first evaluation result is used to indicate that the skeleton has no segregation.

[0039] Optionally, the determination module is specifically used to adopt the corresponding relationship to determine the skeleton segregation characteristic of the test piece to be inspected as a second evaluation result if the aggregate proportion of the test piece to be inspected is less than or equal to the first preset aggregate proportion threshold, and the second evaluation result is used to indicate the existence of skeleton segregation.

[0040] Optionally, the at least one preset aggregate proportion threshold further includes: a second preset aggregate proportion threshold that is smaller than the first preset aggregate proportion threshold;

[0041] The determination module is specifically used to, if the aggregate proportion of the test piece to be tested is greater than the second preset aggregate proportion threshold value, and less than or equal to the first preset aggregate proportion threshold value, adopt the corresponding relationship to determine that the first sub-evaluation result is the second evaluation result; wherein, the first sub-evaluation result is used to indicate the existence of a first degree of skeleton segregation; if the aggregate proportion of the test piece to be tested is less than or equal to the second preset aggregate proportion threshold value, then adopt the corresponding relationship between the preset multiple preset aggregate proportion comparison results and the skeleton segregation characteristic evaluation results to determine that the second sub-evaluation result is the second evaluation result; wherein, the first sub-evaluation result is used to indicate the existence of a second degree of skeleton segregation; the second degree of skeleton segregation is higher than the first degree of skeleton segregation.

[0042] In the third aspect, another embodiment of the present application provides a skeleton segregation characteristics evaluation device for an SMA pavement structure, comprising: a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, and when the skeleton segregation characteristics evaluation device for an SMA pavement structure is running, the processor communicates with the storage medium via the bus, and the processor executes the machine-readable instructions to perform the steps of any method described in the first aspect above.

[0043] In a fourth aspect, another embodiment of the present application provides a storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of any method described in the first aspect are executed.

[0044] The beneficial effects of the present application are: by adopting the skeleton segregation characteristic evaluation method of the SMA pavement structure provided by the present application, the aggregate ratio of the test piece to be tested is obtained by processing the cross-sectional view of the test piece to be tested, and the aggregate ratio of the test piece to be tested is analyzed and evaluated according to the preset skeleton segregation characteristic index, so as to obtain the skeleton segregation characteristic evaluation result for characterizing the laying quality of the pavement structure, thereby providing reference indicators and basis for the judgment of construction quality, effectively evaluating the skeleton characteristics of the test piece to be tested, and making up for the lack of evaluation indicators for pavement quality in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 A schematic diagram of a process flow of a method for evaluating the skeleton segregation characteristics of an SMA pavement structure provided in one embodiment of the present application;

[0047] Figure 2 A schematic cross-sectional view of a test piece to be inspected after binarization processing provided in an embodiment of the present application;

[0048] Figure 3 A schematic flow chart of a method for evaluating the skeleton segregation characteristics of an SMA pavement structure provided in another embodiment of the present application;

[0049] Figure 4 A schematic flow chart of a method for evaluating the skeleton segregation characteristics of an SMA pavement structure provided in another embodiment of the present application;

[0050] Figure 5 A schematic diagram of the structure of a device for evaluating the skeleton segregation characteristics of an SMA pavement structure provided in one embodiment of the present application;

[0051] Figure 6 A schematic diagram of the structure of a device for evaluating the skeleton segregation characteristics of an SMA pavement structure provided by another embodiment of the present application;

[0052] Figure 7 A schematic diagram of the structure of a skeleton segregation characteristics evaluation device for an SMA pavement structure provided in one embodiment of the present application. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments.

[0054] The components of the embodiments of the present application generally described and shown in the drawings herein may be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0055] In addition, the flowchart used in this application shows the operations implemented according to some embodiments of the present application. It should be understood that the operations of the flowchart can be implemented out of order, and the steps without logical context can be reversed in order or implemented simultaneously. In addition, those skilled in the art can add one or more other operations to the flowchart under the guidance of the content of this application, and can also remove one or more operations from the flowchart.

[0056] The following is an explanation of a skeleton segregation characteristic evaluation method of an SMA pavement structure provided in an embodiment of the present application in combination with a number of specific application examples.

[0057] In a possible implementation, the present invention provides a method for evaluating the skeleton segregation characteristics of an SMA pavement structure. Figure 1 A schematic diagram of a process flow of a method for evaluating the skeleton segregation characteristics of an SMA pavement structure provided in one embodiment of the present application, such as Figure 1 As shown, the method includes:

[0058] S101: Processing the cross-sectional view of the test piece to be inspected to obtain the aggregate ratio of the test piece to be inspected.

[0059] Among them, the test pieces to be inspected are test pieces obtained in advance from the pavement structure laid on site.

[0060] In the embodiments of the present application, for example, core sampling can be carried out on the on-site stone matrix asphalt (SMA) pavement that has been paved and rolled, and test pieces can be cut along the middle of the core sample height, and it can be determined that the cut test pieces are not test pieces; wherein, the SMA asphalt mixture can be, for example, SMA-10, SMA-13, SMA-16, SMA-19. It should be understood that the above embodiments are only rational explanations, and the models of specific asphalt mixtures can be flexibly adjusted according to user needs, and are not limited to those given in the above embodiments.

[0061] Then, a camera, a mobile phone or other equipment with a photographing function is used to take a picture of the cross section of the test piece to be inspected, so as to obtain a cross-sectional view of the test piece to be inspected.

[0062] For example, in order to ensure the accuracy of subsequent evaluation results, in an embodiment of the present application, when using a camera, mobile phone or other photographing device to photograph the test piece to be inspected, it is necessary to ensure that the shooting lens remains parallel to the cross-section of the test piece to be inspected, so as to avoid inaccurate images obtained due to angle problems, thereby affecting subsequent evaluation.

[0063] In the embodiment of the present application, after obtaining the cross-sectional view of the test piece to be inspected, it is also necessary to use image analysis software to perform binarization processing on the cross-sectional view of the test piece to be inspected by setting a threshold value. Figure 2A schematic cross-sectional view of a test piece to be tested after binarization processing provided in an embodiment of the present application, as shown in FIG. Figure 2 As shown, in the cross-sectional view of the test piece to be inspected after binarization processing, the white area is the aggregate area, and the black area is other areas. When determining the aggregate proportion of the test piece to be inspected, it is only necessary to determine the percentage of the area of ​​the white area in the total area.

[0064] In some possible embodiments, the image analysis software may be, for example, Matlab software, Image-Pro Plus or Photoshop, which may be flexibly adjusted according to user needs, and this application does not impose any limitation thereto.

[0065] S102: using a preset skeleton segregation characteristic index corresponding to the mixture ratio of the pavement structure, analyzing and evaluating the aggregate proportion of the test piece to be tested, and obtaining a skeleton segregation characteristic evaluation result of the test piece to be tested.

[0066] The evaluation results of the skeleton segregation characteristics are used to characterize the paving quality of the pavement structure. For example, the paving quality of the pavement structure can be judged by analyzing whether the skeleton segregates in the cross-sectional view of the test piece to be inspected. Among them, the pavement structure with basically no segregation is a structure with better paving quality. The roadside structure with greater segregation indicates that the paving quality is worse. Therefore, the pavement structure can be evaluated in a digitized manner through indicator judgment, which makes up for the problem that the pavement evaluation indicators in the existing technology are insufficient and cannot provide a reference for construction quality judgment.

[0067] By adopting the skeleton segregation characteristic evaluation method of the SMA pavement structure provided in the present application, the cross-sectional view of the test piece to be tested is processed to obtain the aggregate ratio of the test piece to be tested, and the aggregate ratio of the test piece to be tested is analyzed and evaluated according to the preset skeleton segregation characteristic index, so as to obtain the skeleton segregation characteristic evaluation result for characterizing the laying quality of the pavement structure, thereby providing a reference index and basis for the judgment of the construction quality, effectively evaluating the skeleton characteristics of the test piece to be tested, and making up for the lack of evaluation indicators for pavement quality in the prior art.

[0068] Optionally, based on the above embodiment, the embodiment of the present application may also provide a method for evaluating the skeleton segregation characteristics of an SMA pavement structure. The implementation process of the above method is illustrated below with reference to the accompanying drawings. Figure 3 A schematic flow chart of a method for evaluating the skeleton segregation characteristics of an SMA pavement structure provided in another embodiment of the present application is shown in FIG. Figure 3 As shown, the method may also include:

[0069] S103: Processing the cross-sectional view of the sample specimen to obtain the aggregate ratio of the sample specimen.

[0070] Among them, the sample specimen is a specimen made according to the mixture ratio. In one embodiment of the present application, the sample specimen can be, for example, a Marshall specimen, and then it is cut along the middle of the height of the Marshall specimen to obtain a Marshall sample specimen, and then a camera or mobile phone or other photographic equipment is used to photograph the cross-section of the Marshall sample specimen to obtain a cross-sectional view of the Marshall sample specimen, and based on the area occupied by the aggregate area in the cross-sectional view of the Marshall sample specimen and the total area of ​​the cross-sectional view, the percentage of the aggregate area of ​​the Marshall sample specimen to the total area is determined, that is, the aggregate ratio of the Marshall sample specimen is determined. It should be understood that although the above embodiment is described using the Marshall specimen as an example, the specific sample type of the sample specimen can be flexibly adjusted according to user needs and is not limited to the above embodiment.

[0071] Among them, in order to ensure that the analysis of sample specimens and test pieces to be tested is not affected by other external factors, the shooting angle of the camera, mobile phone or other photographing equipment used to collect sample specimens should be kept parallel to the sample specimens or test pieces to be tested, and the ambient brightness during shooting should be kept consistent. If the brightness of the shooting environment is different, consider using fill light to ensure that the ambient brightness during shooting remains consistent, so as to avoid inaccuracies due to external factors, or deviations between the evaluation and the actual quality.

[0072] In an embodiment of the present application, after obtaining the cross-sectional view of the sample specimen, it is also necessary to use image analysis software to binarize the cross-sectional view of the sample specimen by setting a threshold. In the cross-sectional view of the sample specimen after binarization, the white area is the aggregate area, and the black area is other areas. When determining the aggregate proportion of the sample specimen, it is only necessary to determine the percentage of the area of ​​the white area in the total area.

[0073] It should be understood that in order to ensure the consistency of the test results, whether it is when binarizing the cross-sectional image of the test piece to be tested or when binarizing the cross-sectional image of the sample specimen, it should be ensured that the binarized images are clear images, and the thresholds in the binarization process should be set consistently.

[0074] S104: Establish a preset skeleton segregation characteristic index based on the aggregate ratio of the sample specimen.

[0075] In some possible embodiments, in order to ensure the accuracy of the preset skeleton segregation characteristic index, the aggregate ratio of multiple sample specimens can be obtained. For example, the aggregate ratio of at least 10 sample specimens can be obtained, and then the average aggregate ratio of the multiple sample specimens is determined based on the average value of the aggregate ratio of the multiple sample specimens; based on the average aggregate ratio, a preset skeleton segregation characteristic index is established, thereby avoiding the problem of errors in the subsequent establishment of the preset skeleton segregation characteristic index due to a single evaluation error by taking the average value.

[0076] In some other possible embodiments, for the aggregate ratio of multiple sample specimens, for example, screening can be performed first to screen out some obviously abnormal data, and then the average aggregate ratio of the multiple sample specimens that have passed the screening is determined by taking the average value, and then a preset skeleton segregation characteristic index is established based on the average aggregate ratio, thereby avoiding the influence of obviously abnormal data on the average aggregate ratio and the preset skeleton segregation characteristic index, and further ensuring the reliability of the established preset skeleton segregation characteristic index, thereby ensuring the accuracy of the subsequent evaluation results of the test pieces to be inspected.

[0077] That is, for the aggregate proportion Xi of multiple sample specimens obtained, the average aggregate proportion of multiple sample specimens can be calculated according to the following formula: Wherein, Xi is the aggregate proportion value of a sample specimen among multiple sample specimens; n is the number of images of the cross-sectional views of multiple sample specimens, and n≥10; it should be understood that the above embodiment is only an exemplary description, and the specific number threshold setting of multiple sample specimens can be flexibly adjusted according to user needs. The larger the value, the higher the accuracy, and the smaller the value, the lower the accuracy, which is not limited to the above embodiment.

[0078] Optionally, based on the above embodiment, the embodiment of the present application can also provide a method for evaluating the skeleton segregation characteristics of an SMA pavement structure. The following is an example of the implementation process of obtaining the skeleton segregation characteristics evaluation result of the test piece to be tested in the above method in combination with the accompanying drawings. Figure 4 A schematic flow chart of a method for evaluating the skeleton segregation characteristics of an SMA pavement structure provided in another embodiment of the present application, wherein the preset skeleton segregation characteristic index includes: at least one preset aggregate ratio threshold value; Figure 4 As shown, S102 may include:

[0079] S105: Compare at least one preset aggregate ratio threshold with the aggregate ratio of the test piece to be inspected.

[0080] S106: According to the comparison result of the aggregate proportions, the skeleton segregation characteristic evaluation result of the test piece to be inspected is determined by using the correspondence between the preset multiple preset aggregate proportion comparison results and the skeleton segregation characteristic evaluation results.

[0081] In an embodiment of the present application, at least one preset aggregate ratio threshold includes: a first preset aggregate ratio threshold; when determining the evaluation result of the skeleton segregation characteristic to be detected, the aggregate ratio of the test piece to be detected can be compared with the first preset aggregate ratio threshold. If the comparison result indicates that the aggregate ratio of the test piece to be detected is greater than the first preset aggregate ratio threshold, the corresponding relationship is adopted to determine that the evaluation result of the skeleton segregation characteristic of the test piece to be detected is the first evaluation result, and the first evaluation result is used to indicate that there is no skeleton segregation.

[0082] If the aggregate proportion of the test piece to be inspected is less than or equal to the first preset aggregate proportion threshold, the corresponding relationship is used to determine the skeleton segregation characteristic of the test piece to be inspected as the second evaluation result, and the second evaluation result is used to indicate the existence of skeleton segregation.

[0083] In some possible embodiments, at least one preset aggregate ratio threshold also includes: a second preset aggregate ratio threshold that is less than the first preset aggregate ratio threshold; the method for determining the second evaluation result may, for example, be: if the aggregate ratio of the test piece to be tested is greater than the second preset aggregate ratio threshold, and less than or equal to the first preset aggregate ratio threshold, then the corresponding relationship is adopted to determine the first sub-evaluation result as the second evaluation result; wherein, the first sub-evaluation result is used to indicate the presence of a first degree of skeleton segregation; if the aggregate ratio of the test piece to be tested is less than or equal to the second preset aggregate ratio threshold, then the corresponding relationship between the preset multiple preset aggregate ratio comparison results and the skeleton segregation characteristic evaluation result is adopted to determine the second sub-evaluation result as the second evaluation result; wherein, the first sub-evaluation result is used to indicate the presence of a second degree of skeleton segregation; wherein, the second degree of skeleton segregation is higher than the first degree of skeleton segregation.

[0084] In one embodiment of the present application, the correspondence between the specific preset aggregate ratio threshold and the evaluation result of the skeleton segregation characteristic may be as shown in Table 1, for example:

[0085]

[0086] Among them, the first preset aggregate ratio threshold is 95%, and the second preset aggregate ratio threshold is 90%. It should be understood that the above embodiment is only an exemplary description. The specific first preset aggregate ratio threshold and the second preset aggregate ratio threshold can be flexibly adjusted according to user needs and the test results of sample specimens, and are not limited to the above embodiment.

[0087] For example, if there are currently test pieces 1 to be inspected, test pieces 2 to be inspected and test pieces 3 to be inspected, among which the aggregate proportion of test piece 1 to be inspected is 98%, the aggregate proportion of test piece 2 to be inspected is 92%, and the aggregate proportion of test piece 3 to be inspected is 89%, then it can be determined that the paving quality of the pavement structure corresponding to test piece 1 to be inspected is basically free of segregation; the paving quality of the pavement structure corresponding to test piece 2 to be inspected has slight segregation; the paving quality of the pavement structure corresponding to test piece 3 to be inspected has segregation, and the degree of segregation is greater than the paving quality of the pavement structure corresponding to test piece 2 to be inspected, that is, the paving quality of the pavement structure corresponding to test piece 1 to be inspected is the best, the paving quality of the pavement structure corresponding to test piece 2 to be inspected is the second best, and the paving quality of the pavement structure corresponding to test piece 3 to be inspected is the worst.

[0088] The skeleton segregation characteristic evaluation method of the SMA pavement structure provided in the present application is adopted. By processing the cross-sectional images of multiple sample specimens, a preset skeleton segregation characteristic index is constructed, and after the construction is successful, a binary image of the cross-sectional image of the test piece to be inspected is obtained. The binary image of the cross-sectional image of the test piece to be inspected is processed to obtain the aggregate ratio of the test piece to be inspected, and the aggregate ratio of the test piece to be inspected is analyzed and evaluated according to the preset skeleton segregation characteristic index, and a skeleton segregation characteristic evaluation result for characterizing the laying quality of the pavement structure is obtained, thereby providing a reference index and basis for the judgment of the construction quality, effectively evaluating the skeleton characteristics of the test piece to be inspected, and making up for the lack of evaluation indicators for pavement quality in the prior art.

[0089] The following is an explanation of the skeleton segregation characteristic evaluation device of the SMA pavement structure provided by the present application in conjunction with the accompanying drawings. The skeleton segregation characteristic evaluation device of the SMA pavement structure can perform the above Figure 1-Figure 4 The specific implementation and beneficial effects of the skeleton segregation characteristic evaluation method of any SMA pavement structure are as mentioned above and will not be repeated below.

[0090] Figure 5 A schematic diagram of the structure of a device for evaluating the skeleton segregation characteristics of an SMA pavement structure provided in one embodiment of the present application is shown in FIG. Figure 5 As shown, the device includes: a processing module 201 and an analysis module 202, wherein:

[0091] The processing module 201 is used to process the cross-sectional view of the test piece to be inspected to obtain the aggregate ratio of the test piece to be inspected; wherein the test piece to be inspected is a test piece obtained in advance from a pavement structure laid on site;

[0092] The analysis module 202 is used to analyze and evaluate the aggregate proportion of the test piece to be tested using the preset skeleton segregation characteristic index corresponding to the mixture ratio of the pavement structure, and obtain the skeleton segregation characteristic evaluation result of the test piece to be tested. The skeleton segregation characteristic evaluation result is used to characterize the paving quality of the pavement structure.

[0093] Optionally, based on the above embodiment, the present application embodiment may also provide a skeleton segregation characteristic evaluation device for SMA pavement structure, as shown in the following figure. Figure 5 The implementation process of the given device is described by way of example. Figure 6 A schematic diagram of a structural diagram of a skeleton segregation characteristic evaluation device for an SMA pavement structure provided in another embodiment of the present application is shown in FIG. Figure 6 As shown, the device further includes: an establishment module 203, wherein:

[0094] The processing module 201 is specifically used to process the cross-sectional view of the sample specimen to obtain the aggregate ratio of the sample specimen; wherein the sample specimen is a specimen made according to the mixture ratio;

[0095] The establishment module 203 is used to establish a preset skeleton segregation characteristic index according to the aggregate ratio of the sample specimen.

[0096] like Figure 6 As shown, the device further includes: a determination module 204, for determining an average aggregate proportion of the plurality of sample specimens according to an average value of the aggregate proportions of the plurality of sample specimens;

[0097] The establishment module 203 is specifically used to establish a preset skeleton segregation characteristic index according to the average aggregate ratio.

[0098] Optionally, the preset skeleton segregation characteristic index includes: at least one preset aggregate ratio threshold; Figure 6 As shown, the device further includes: a comparison module 205, for comparing at least one preset aggregate proportion threshold value and the aggregate proportion of the test piece to be inspected;

[0099] The determination module 204 is specifically configured to determine the skeleton segregation characteristic evaluation result of the test piece to be inspected according to the comparison result of the aggregate proportions and by using the correspondence between the preset multiple preset aggregate proportion comparison results and the skeleton segregation characteristic evaluation results.

[0100] Optionally, the at least one preset aggregate proportion threshold comprises: a first preset aggregate proportion threshold;

[0101] The determination module 204 is specifically used to use the corresponding relationship to determine that the skeleton segregation characteristic evaluation result of the test piece to be tested is a first evaluation result if the comparison result indicates that the aggregate proportion of the test piece to be tested is greater than the first preset aggregate proportion threshold, and the first evaluation result is used to indicate that the skeleton has no segregation.

[0102] Optionally, the determination module 204 is specifically used to use the corresponding relationship to determine the skeleton segregation characteristic of the test piece to be tested as a second evaluation result if the aggregate proportion of the test piece to be tested is less than or equal to the first preset aggregate proportion threshold, and the second evaluation result is used to indicate the existence of skeleton segregation.

[0103] Optionally, the at least one preset aggregate proportion threshold value further includes: a second preset aggregate proportion threshold value that is smaller than the first preset aggregate proportion threshold value;

[0104] Determination module 204 is specifically used to determine that if the aggregate proportion of the test piece to be tested is greater than the second preset aggregate proportion threshold value and less than or equal to the first preset aggregate proportion threshold value, then adopt a corresponding relationship to determine that the first sub-evaluation result is the second evaluation result; wherein the first sub-evaluation result is used to indicate the existence of a first degree of skeleton segregation; if the aggregate proportion of the test piece to be tested is less than or equal to the second preset aggregate proportion threshold value, then adopt a corresponding relationship between the preset multiple preset aggregate proportion comparison results and the skeleton segregation characteristic evaluation result to determine that the second sub-evaluation result is the second evaluation result; wherein the first sub-evaluation result is used to indicate the existence of a second degree of skeleton segregation; the second degree of skeleton segregation is higher than the first degree of skeleton segregation.

[0105] The above-mentioned device is used to execute the method provided by the aforementioned embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0106] The above modules may be one or more integrated circuits configured to implement the above methods, such as one or more application specific integrated circuits (ASICs), or one or more microprocessors, or one or more field programmable gate arrays (FPGAs). For another example, when a module is implemented in the form of a processing element scheduling program code, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0107] Figure 7 This is a schematic structural diagram of a skeleton segregation characteristic evaluation device for an SMA pavement structure provided in one embodiment of the present application. The skeleton segregation characteristic evaluation device for an SMA pavement structure may be integrated into a terminal device or a chip of the terminal device.

[0108] like Figure 7As shown, the skeleton segregation characteristic evaluation device of the SMA pavement structure includes: a processor 501 , a storage medium 502 and a bus 503 .

[0109] The processor 501 is used to store programs. The processor 501 calls the program stored in the storage medium 502 to execute the above Figure 1-Figure 4 The corresponding method embodiment has similar specific implementation methods and technical effects, which will not be described here.

[0110] Optionally, the present application also provides a program product, such as a storage medium, on which a computer program is stored, including a program that, when executed by a processor, executes an embodiment corresponding to the above method.

[0111] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0112] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0113] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0114] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (English: processor) to perform some steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English: Read-Only Memory, abbreviated: ROM), random access memory (English: Random Access Memory, abbreviated: RAM), disk or optical disk and other media that can store program codes.

Claims

1. A method for evaluating the skeleton segregation characteristics of an SMA pavement structure, characterized in that: The method comprises: Processing the cross-sectional view of the test piece to be inspected to obtain the aggregate ratio of the test piece to be inspected; wherein the test piece to be inspected is a test piece obtained in advance from a pavement structure laid on site; The step of processing the cross-sectional view of the test piece to be inspected to obtain the aggregate proportion of the test piece to be inspected includes: Binarization is performed on the cross-sectional view of the test piece to be inspected by setting a threshold; Determine the aggregate proportion according to the percentage of the area of ​​the white area in the total area in the cross-sectional view of the test piece to be inspected after the binarization process; The aggregate proportion of the test piece to be tested is analyzed and evaluated by using a preset skeleton segregation characteristic index corresponding to the mixture ratio of the pavement structure, so as to obtain a skeleton segregation characteristic evaluation result of the test piece to be tested, and the skeleton segregation characteristic evaluation result is used to characterize the paving quality of the pavement structure; Before processing the cross-sectional view of the test piece to be inspected to obtain the aggregate proportion of the test piece to be inspected, the method further includes: Processing the cross-sectional view of the sample specimen to obtain the aggregate ratio of the sample specimen; wherein the sample specimen is a specimen made according to the mixture ratio; The preset skeleton segregation characteristic index is established according to the aggregate proportion of the sample specimen.

2. The method according to claim 1, characterized in that The step of establishing the preset skeleton segregation characteristic index according to the aggregate proportion of the sample specimen comprises: Determine an average aggregate ratio of the plurality of sample specimens according to an average value of the aggregate ratios of the plurality of sample specimens; The preset skeleton segregation characteristic index is established according to the average aggregate proportion.

3. The method according to claim 1, characterized in that The preset skeleton segregation characteristic index includes: at least one preset aggregate ratio threshold value; the preset skeleton segregation characteristic index corresponding to the mixture ratio of the pavement structure is adopted to analyze and evaluate the aggregate ratio of the test piece to be tested, and the skeleton segregation characteristic evaluation result of the test piece to be tested is obtained, including: Respectively comparing the at least one preset aggregate proportion threshold with the aggregate proportion of the test piece to be inspected; According to the comparison result of the aggregate proportions, the skeleton segregation characteristic evaluation result of the test piece to be inspected is determined by using the correspondence between the preset multiple preset aggregate proportion comparison results and the skeleton segregation characteristic evaluation results.

4. The method according to claim 3, characterized in that The at least one preset aggregate ratio threshold comprises: a first preset aggregate ratio threshold; the determining of the skeleton segregation characteristic evaluation result of the test piece to be inspected by using the correspondence between the preset multiple preset aggregate ratio comparison results and the skeleton segregation characteristic evaluation result according to the comparison result of the aggregate ratio comprises: If the comparison result indicates that the aggregate proportion of the test piece to be tested is greater than the first preset aggregate proportion threshold, the corresponding relationship is used to determine that the skeleton segregation characteristic evaluation result of the test piece to be tested is a first evaluation result, and the first evaluation result is used to indicate that there is no skeleton segregation.

5. The method according to claim 4, characterized in that The method further comprises: determining the evaluation result of the skeleton segregation characteristic of the test piece to be inspected by using the correspondence between the preset comparison results of multiple preset aggregate proportions and the evaluation results of the skeleton segregation characteristic according to the comparison results of the aggregate proportions, and further comprising: If the aggregate proportion of the test piece to be inspected is less than or equal to the first preset aggregate proportion threshold, the corresponding relationship is used to determine the skeleton segregation characteristic of the test piece to be inspected as a second evaluation result, and the second evaluation result is used to indicate the existence of skeleton segregation.

6. The method according to claim 5, characterized in that The at least one preset aggregate proportion threshold value further includes: a second preset aggregate proportion threshold value that is less than the first preset aggregate proportion threshold value; the correspondence between the preset comparison results of the plurality of preset aggregate proportions and the evaluation result of the skeleton segregation characteristic is adopted to determine that the skeleton segregation characteristic of the test piece to be tested is the second evaluation result, including: If the aggregate proportion of the test piece to be tested is greater than the second preset aggregate proportion threshold value, and less than or equal to the first preset aggregate proportion threshold value, the corresponding relationship is adopted to determine that the first sub-evaluation result is the second evaluation result; wherein the first sub-evaluation result is used to indicate the presence of a first degree of skeleton segregation; If the aggregate proportion of the test piece to be inspected is less than or equal to the second preset aggregate proportion threshold, the corresponding relationship between the preset multiple preset aggregate proportion comparison results and the skeleton segregation characteristic evaluation result is used to determine the second sub-evaluation result as the second evaluation result; wherein the first sub-evaluation result is used to indicate the presence of a second degree of skeleton segregation; The second degree of framework segregation is higher than the first degree of framework segregation.

7. A device for evaluating the skeleton segregation characteristics of an SMA pavement structure, characterized in that: The device comprises: a processing module and an analysis module, wherein: The processing module is used to process the cross-sectional view of the test piece to be inspected to obtain the aggregate ratio of the test piece to be inspected; wherein the test piece to be inspected is a test piece obtained in advance from a pavement structure laid on site; The analysis module is used to analyze and evaluate the aggregate proportion of the test piece to be tested by using a preset skeleton segregation characteristic index corresponding to the mixture ratio of the pavement structure, and obtain an evaluation result of the skeleton segregation characteristic of the test piece to be tested, and the evaluation result of the skeleton segregation characteristic is used to characterize the paving quality of the pavement structure; The processing module is specifically used to perform binarization processing on the cross-sectional view of the test piece to be inspected by setting a threshold value; and determine the aggregate proportion according to the percentage of the area of ​​the white area in the total area of ​​the cross-sectional view of the test piece to be inspected after the binarization processing; The device also includes: an establishment module, wherein: The processing module is specifically used to process the cross-sectional view of the sample specimen to obtain the aggregate ratio of the sample specimen; wherein the sample specimen is a specimen made according to the mixture ratio; The establishing module is used to establish the preset skeleton segregation characteristic index according to the aggregate proportion of the sample specimen.

8. An evaluation device for the skeleton segregation characteristics of SMA pavement structure, characterized in that: The device includes: a processor, a storage medium and a bus, the storage medium stores machine-readable instructions executable by the processor, when the skeleton segregation characteristics evaluation device of the SMA pavement structure is running, the processor and the storage medium communicate through the bus, and the processor executes the machine-readable instructions to perform the method described in any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is executed.

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