Intelligent asphalt mixture performance data detection method

Abstract

The invention discloses an intelligent asphalt mixture performance data detection method, and relates to the technical field of asphalt detection.The intelligent asphalt mixture performance data detection method is characterized by comprising the following steps that recycled asphalt pavement materials are subjected to regeneration treatment and then laid on a test pavement to form an asphalt laying layer; judging whether the asphalt paving layer is in an abnormal state or not in the normal use process of the test pavement paved with the asphalt paving layer; the method comprises the following steps: marking an area with an abnormal state of an asphalt paving layer as an abnormal asphalt paving area, marking an area without an abnormal state of the asphalt paving layer as a normal asphalt paving area, and calculating the abnormal asphalt paving area and an overall area of a test pavement to obtain an abnormal area proportion; judging whether the proportion of the abnormal region meets a preset condition or not; the method has the effect that whether the asphalt paving layer paved in the abnormal asphalt paving area is qualified or not is judged by comparing and analyzing the composition structure information of the asphalt mixture in the abnormal asphalt paving area and the comparison composition structure information.

Description

Technical Field

[0001] The present invention relates to the technical field of asphalt detection, and more specifically, it relates to an intelligent method for detecting the performance data of asphalt mixtures. Background Art

[0002] With the global emphasis on environmental protection and sustainable development, the recycling of resources has become the focus of attention in all industries. In the field of highway construction and maintenance, the recycling of asphalt pavements is particularly important. During the use of asphalt pavements, they need to be renovated or rebuilt due to reasons such as aging and damage. Traditional treatment methods often result in the generation of a large amount of waste materials, which not only waste resources but also pollute the environment. Therefore, it is particularly urgent to develop efficient and environmentally friendly asphalt pavement material recycling technologies. The main technology for recycling asphalt pavement materials is the cold recycling technology, which is a technology for crushing, screening, and mixing old asphalt pavements at normal temperature and then re-paving them. A milling machine is used to mill the old asphalt pavement into fragments of a certain thickness. The milled materials are crushed and screened to remove impurities and large pieces of materials. The treated old materials are mixed evenly with asphalt binders, etc. according to a certain proportion. The mixed materials are re-paved on the road surface and compacted to form an asphalt paving layer.

[0003] However, the existing intelligent methods for detecting the performance data of asphalt mixtures can only detect and process the composition structure and content of asphalt mixtures in abnormal asphalt paving areas. Then, the staff judges whether the asphalt paving layer paved in the abnormal asphalt paving area is qualified by checking the composition structure and content of the asphalt mixtures. It is impossible to compare the composition structure information of the asphalt paving layer paved in the abnormal asphalt paving area with the comparative composition structure information to judge whether the asphalt paving layer paved in the abnormal asphalt paving area is qualified. Therefore, this method has low efficiency and also brings difficulties for the staff to judge whether the asphalt paving layer paved in the abnormal asphalt paving area is qualified. Summary of the Invention

[0004] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide an intelligent method for detecting the performance data of asphalt mixtures.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] An intelligent method for detecting the performance data of asphalt mixtures, the method includes the following steps:

[0007] The recycled asphalt pavement materials are paved on the test road surface after regeneration treatment to form an asphalt paving layer, and it is judged whether the asphalt paving layer shows an abnormal state during the normal use of the test road surface with the asphalt paving layer already paved.

[0008] Mark the area with abnormal conditions in the asphalt paving layer as the abnormal asphalt paving area, mark the area without abnormal conditions in the asphalt paving layer as the normal asphalt paving area, calculate the proportion of the abnormal area by comparing the abnormal asphalt paving area with the overall area of the test road surface, and determine whether the proportion of the abnormal area meets the preset conditions.

[0009] Obtain the composition structure information and comparative composition structure information of the asphalt paving layer in the abnormal asphalt paving area. When the proportion of the abnormal area meets the preset conditions, the comparative composition structure information refers to the composition structure information of the standard asphalt paving layer; when the proportion of the abnormal area does not meet the preset conditions, the comparative composition structure information refers to the composition structure information of the asphalt paving layer in the normal asphalt paving area.

[0010] Process and analyze the composition structure information and comparative composition structure information of the asphalt paving layer in the abnormal asphalt paving area to obtain the performance influence value.

[0011] Judge whether the asphalt paving layer in the abnormal asphalt paving area is qualified based on the performance influence value.

[0012] Preferably, during the normal use of the test road surface with the asphalt paving layer already paved, determine whether the asphalt paving layer has abnormal conditions, which specifically includes the following steps.

[0013] Obtain the crack information and flatness information of the test road surface with the asphalt paving layer already paved. Among them, the crack information includes the crack quantity information and the maximum crack width information of each crack, and the flatness information includes the uneven quantity information and the height value information of the highest point and the lowest point of each uneven area.

[0014] Calculate the abnormal value by using the crack quantity information, the maximum crack width information of each crack, the uneven quantity information and the height value information of the highest point and the lowest point of each uneven area, and compare the abnormal value with the preset abnormal threshold to determine whether the asphalt paving layer has abnormal conditions.

[0015] Preferably, calculate the abnormal value by using the crack quantity information, the maximum crack width information of each crack, the uneven quantity information and the height value information of the highest point and the lowest point of each uneven area, and compare the abnormal value with the preset abnormal threshold to determine whether the asphalt paving layer has abnormal conditions. Specifically:

[0016] Take values and mark the crack quantity information to obtain the total crack quantity value n.

[0017] Take values and mark the maximum crack width information of each crack to obtain the maximum crack width value L of each crack.

[0018] Take values and mark the uneven quantity information to obtain the total uneven quantity value m.

[0019] Obtain and mark the height value information of the highest point and the lowest point of each unevenness to obtain the unevenness height difference H for each place.

[0020] Calculate the outlier Y through the first calculation formula where i represents the crack quantity label and j represents the unevenness quantity label.

[0021] Compare the outlier Y with the preset outlier threshold P.

[0022] If the outlier Y is greater than or equal to the preset outlier threshold P, it indicates that the asphalt paving layer is in an abnormal state.

[0023] If the outlier Y is less than the preset outlier threshold P, it indicates that the asphalt paving layer is not in an abnormal state.

[0024] Preferably, calculate the proportion of the abnormal area by calculating the abnormal asphalt paving area and the overall area of the test road surface, and determine whether the proportion of the abnormal area meets the preset conditions, which specifically includes the following steps.

[0025] Obtain the area information of the abnormal asphalt paving area and the area information of the overall area of the test road surface.

[0026] Obtain and mark the area information of the abnormal asphalt paving area to obtain the abnormal asphalt paving area value A 1 ; obtain and mark the area information of the overall area of the test road surface to obtain the total test road surface area value A 2 .

[0027] Calculate the proportion of the abnormal area Q through the second calculation formula

[0028] Compare the proportion of the abnormal area Q with the preset proportion threshold B of the abnormal area.

[0029] If the proportion of the abnormal area Q is greater than or equal to the preset proportion threshold B of the abnormal area, it indicates that the proportion of the abnormal area meets the preset conditions.

[0030] If the proportion of the abnormal area Q is less than the preset proportion threshold B of the abnormal area, it indicates that the proportion of the abnormal area does not meet the preset conditions.

[0031] Preferably, process and analyze the composition structure information of the asphalt paving layer in the abnormal asphalt paving area and the comparative composition structure information to obtain the performance influence value, which specifically includes the following steps:

[0032] The composition structure information includes the types of composition components and the content of each composition component.

[0033] ​Mark the types of components in the asphalt paving layer of the test road surface that are more than those in the comparison composition structure as additional component types, mark the types of components in the asphalt paving layer of the test road surface that are less than those in the comparison composition structure as missing component types, and mark the types of components in the asphalt paving layer of the test road surface that are within the types of components in the comparison composition structure as the same component types.

[0034] Obtain the content of each additional component, and obtain the set of negative impact amplitudes and the set of positive impact amplitudes of the content of each additional component on the performance of the asphalt mixture in the abnormal asphalt paving area through the method of looking up tables and pairing.

[0035] Obtain the set of negative impact amplitudes of the performance of the asphalt mixture in the abnormal asphalt paving area for each missing component through the method of looking up tables and pairing.

[0036] Obtain the content of each component in the asphalt paving layer of the abnormal asphalt paving area with the same component types, and obtain the content of each component in the comparison composition structure with the same component types. Mark the content of this component in the asphalt paving layer of the abnormal asphalt paving area with the same component types that is greater than the content of this component in the comparison composition structure as the content of the same type of additional component; mark the content of this component in the asphalt paving layer of the abnormal asphalt paving area with the same component types that is less than the content of this component in the comparison composition structure as the content of the same type of missing component.

[0037] Obtain the set of negative impact amplitudes and the set of positive impact amplitudes of the performance of the asphalt mixture in the abnormal asphalt paving area for each content of the same type of additional component through the method of looking up tables and pairing.

[0038] Obtain the set of negative impact amplitudes of the performance of the asphalt mixture in the abnormal asphalt paving area for each content of the same type of missing component through the method of looking up tables and pairing.

[0039] Perform calculation processing on the set of negative impact amplitudes one, the set of negative impact amplitudes two, the set of negative impact amplitudes three, the set of negative impact amplitudes four, the set of positive impact amplitudes one, and the set of positive impact amplitudes one to obtain the performance impact value one.

[0040] Preferably, perform calculation processing on the set of negative impact amplitudes one, the set of negative impact amplitudes two, the set of negative impact amplitudes three, the set of negative impact amplitudes four, the set of positive impact amplitudes one, and the set of positive impact amplitudes one to obtain the performance impact value one, which specifically includes the following steps.

[0041] Obtain the types of performance data affected in the first set of negative impact amplitudes, the second set of negative impact amplitudes, the third set of negative impact amplitudes, and the fourth set of negative impact amplitudes, mark them as the types of negative data performance impacts, and obtain the impact amplitude values of the types of negative data performance impacts.

[0042] Obtain the types of performance data affected in the first set of positive impact amplitudes and the second set of positive impact amplitudes, mark them as the types of positive data performance impacts, and obtain the impact amplitude values of the types of positive data performance impacts.

[0043] Determine whether the types of negative data performance impacts are the same as the types of positive data performance impacts. If there are cases where the types of negative data performance impacts are the same as the types of positive data performance impacts, then calculate the difference between the impact amplitude values of the types of negative data performance impacts and the impact amplitude values of the types of positive data performance impacts to obtain the impact amplitude value.

[0044] If the impact amplitude value is less than or equal to zero, then accumulate the impact amplitude values of the types of negative data performance impacts in the remaining first set of negative impact amplitudes, the second set of negative impact amplitudes, the third set of negative impact amplitudes, and the fourth set of negative impact amplitudes to obtain the performance impact value.

[0045] If the impact amplitude value is greater than zero, then accumulate the impact amplitude value with the impact amplitude values of the types of negative data performance impacts in the remaining first set of negative impact amplitudes, the second set of negative impact amplitudes, the third set of negative impact amplitudes, and the fourth set of negative impact amplitudes to obtain the performance impact value.

[0046] Preferably, determine whether the asphalt paving layer laid on the test road surface is qualified based on the performance impact value, specifically including the following steps:

[0047] Compare the performance impact value with a preset performance impact threshold.

[0048] If the performance impact value is greater than or equal to the preset performance impact threshold, it indicates that the asphalt paving layer laid in the abnormal asphalt paving area is unqualified.

[0049] If the performance impact value is less than the preset performance impact threshold, it indicates that the asphalt paving layer laid in the abnormal asphalt paving area is qualified.

[0050] Preferably, when the asphalt paving layer laid in the abnormal asphalt paving area is qualified, it further includes the following steps:

[0051] Obtain the foundation composition structure information of the abnormal asphalt paving area and the standard foundation composition structure information.

[0052] Compare the foundation composition structure information of the abnormal asphalt paving area with the standard foundation composition structure information to obtain the differential composition structure information.

[0053] Determine the direct impact of the differential composition structure information on the foundation stability of the abnormal asphalt paving area to obtain the first performance impact, and determine the indirect impact of the differential composition structure information on the chemical action of the asphalt mixture in the abnormal asphalt paving area to obtain the second performance impact; wherein, the first performance impact and the second performance impact are combined to form an indirect performance impact.

[0054] When there is an indirect performance impact, obtain whether the composition components in the differential composition structure information have fluidity.

[0055] If the composition components in the differential composition structure information do not have fluidity, then through the area value A of the abnormal asphalt paving area 1 Judge the foundation performance of the abnormal asphalt paving area.

[0056] If the composition components in the differential composition structure information have fluidity, obtain the flow direction of the composition components in the differential composition structure information. If the composition components in the differential composition structure information flow towards the normal asphalt paving layer, then obtain the volume value of the composition structure containing the differential composition structure information, and combine the volume value of the composition structure containing the differential composition structure information and the volume value of the abnormal asphalt paving area to judge the foundation performance of the abnormal asphalt paving area.

[0057] If the composition components in the differential composition structure information have fluidity and the composition components in the differential composition structure information do not flow towards the asphalt paving layer, then judge the influence of the foundation performance of the abnormal asphalt paving area through the abnormal area ratio Q.

[0058] Then judge the influence of the foundation performance of the abnormal asphalt paving area through the abnormal area ratio Q, which specifically includes the following steps:

[0059] Compare the abnormal area ratio Q with the preset comparison threshold B 1 Make a comparison.

[0060] If the abnormal area ratio Q is less than or equal to the preset comparison threshold B 1 , it indicates that the foundation performance of the abnormal asphalt paving area is a first-level impact.

[0061] If the abnormal area ratio Q is greater than the preset comparison threshold B 1 , it indicates that the foundation performance of the abnormal asphalt paving area is a second-level impact.

[0062] Preferably, combining the volume value of the composition structure containing the differential composition structure information and the volume value of the abnormal asphalt paving area to judge the foundation performance of the abnormal asphalt paving area, specifically includes the following steps:

[0063] Accumulate the volume value of the component structure containing differential component structure information and the volume value of the abnormal asphalt paving area to obtain the structure volume value C 1 .

[0064] Take the structure volume value C 1 and compare it with the preset structure volume threshold C 2 .

[0065] If the structure volume value C 1 is less than or equal to the preset structure volume threshold C 2 , it indicates that the foundation performance of the abnormal asphalt paving area has a third-level impact.

[0066] If the structure volume value C 1 is greater than the preset structure volume threshold C 2 , it indicates that the foundation performance of the abnormal asphalt paving area has a fourth-level impact.

[0067] Compared with the prior art, the present invention has the following beneficial effects:

[0068] The present invention lays a new asphalt mixture on the test road surface to form an asphalt paving layer, and judges whether the asphalt paving layer appears in an abnormal state during the normal use of the test road surface. If an abnormal phenomenon appears in the asphalt paving layer of the test road surface, it indicates that there may be unqualified conditions in the asphalt paving layer. Therefore, it is necessary to detect the component structure information (component structure composition and content) in the new asphalt mixture. By comparing and analyzing the component structure information of the asphalt paving layer in the abnormal asphalt paving area and the comparative component structure information, the performance influence value of the new asphalt mixture is judged. Therefore, in this application, by comparing and analyzing the component structure information of the asphalt mixture in the abnormal asphalt paving area and the comparative component structure information, it is judged whether the asphalt paving layer paved in the abnormal asphalt paving area is qualified, thereby improving the efficiency of judging whether the performance of the asphalt paving layer mixture is qualified to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 is a schematic flow chart of an intelligent asphalt mixture performance data detection method proposed by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0070] Refer to Figure 1 as shown.

[0071] Example 1 further illustrates an intelligent asphalt mixture performance data detection method proposed by the present invention.

[0072] An intelligent asphalt mixture performance data detection method, the method includes the following steps:

[0073] The recycled asphalt pavement materials are subjected to regeneration treatment and then paved on the test road surface to form an asphalt paving layer. During the normal use of the test road surface with the asphalt paving layer already paved, it is determined whether the asphalt paving layer shows abnormal conditions.

[0074] The area where the asphalt paving layer shows abnormal conditions is marked as the abnormal asphalt paving area, the area where the asphalt paving layer does not show abnormal conditions is marked as the normal asphalt paving area, the proportion of the abnormal area is calculated by comparing the abnormal asphalt paving area with the overall area of the test road surface, and it is determined whether the proportion of the abnormal area meets the preset conditions.

[0075] Obtain the composition structure information of the asphalt paving layer paved in the abnormal asphalt paving area and the comparative composition structure information. When the proportion of the abnormal area meets the preset conditions, the comparative composition structure information refers to the composition structure information of the standard asphalt paving layer. When the proportion of the abnormal area does not meet the preset conditions, the comparative composition structure information refers to the composition structure information of the asphalt paving layer in the normal asphalt paving area.

[0076] Process and analyze the composition structure information of the asphalt paving layer paved in the abnormal asphalt paving area and the comparative composition structure information to obtain a performance influence value.

[0077] Judge whether the asphalt paving layer paved in the abnormal asphalt paving area is qualified based on the performance influence value.

[0078] In this application, through the existing asphalt pavement recycling technology, the old asphalt pavement materials that need to be renovated or abandoned are crushed, screened, heated, etc., and then mixed with a regenerant, new asphalt, and new aggregates in a certain proportion to form a new asphalt mixture. Then, the new asphalt mixture is paved on the test road surface to judge the performance of the asphalt mixture during actual use.

[0079] The components of the new asphalt mixture by weight include: 300 - 660 parts of asphalt mixed recycled material, 800 - 900 parts of coarse and fine aggregates; 93 - 99 parts of desulfurized activated rubber asphalt, which consists of desulfurized activated rubber, modifier, matrix asphalt, emulsifier, emulsion stabilizer, and water; the desulfurized activated rubber asphalt includes the following components: 31 - 39 parts of desulfurized activated rubber, 3.1 - 3.6 parts of modifier, 123 - 159 parts of matrix asphalt, 4.6 - 10.1 parts of emulsifier, 0.3 - 1.1 parts of emulsion stabilizer, and 40 - 65 parts of water; the modifier is a mixture of SBS, polyvinyl alcohol wax, and polyester fiber in a mass ratio of 100:(92 - 100):(43 - 51), and the dosage is 10% - 12% based on the percentage content of the desulfurized activated rubber; 23 - 29 parts of external additive; 1 - 1.5 parts of warm mix agent; the warm mix agent is one or more of polyamide wax, polyethylene elastomer wax, and polytetrafluoroethylene wax; 0.7 - 0.8 parts of smoke suppression and viscosity reduction agent.

[0080] During the normal use of a test road surface with an asphalt paving layer, it is necessary to determine whether the asphalt paving layer is in an abnormal state, which specifically includes the following steps.

[0081] Obtain the crack information and flatness information of the test road surface with the asphalt paving layer. Among them, the crack information includes the crack quantity information and the maximum crack width information of each crack, and the flatness information includes the uneven quantity information and the height value information of the highest point and the lowest point of each uneven area.

[0082] Calculate the abnormal value by using the crack quantity information, the maximum crack width information of each crack, the uneven quantity information and the height value information of the highest point and the lowest point of each uneven area, and compare the abnormal value with the preset abnormal threshold to determine whether the asphalt paving layer is in an abnormal state.

[0083] It should be noted that if cracks and unevenness occur on the test road surface with the asphalt paving layer, and the cracks and unevenness of the test road surface with the asphalt paving layer reach a certain degree, it indicates that the asphalt paving layer of the test road surface is in an abnormal state. The flatness information here is mainly reflected in whether there are concave and convex phenomena on the test road surface. If there are concave and convex phenomena on the test road surface, it indicates that the test road surface is uneven.

[0084] Calculate the abnormal value by using the crack quantity information, the maximum crack width information of each crack, the uneven quantity information and the height value information of the highest point and the lowest point of each uneven area, and compare the abnormal value with the preset abnormal threshold to determine whether the asphalt paving layer is in an abnormal state. Specifically:

[0085] Take values and mark the crack quantity information to obtain the total crack quantity value n.

[0086] Take values and mark the maximum crack width information of each crack to obtain the maximum crack width value L of each crack.

[0087] Take values and mark the uneven quantity information to obtain the total uneven quantity value m.

[0088] Take values and mark the height value information of the highest point and the lowest point of each uneven area to obtain the height difference H of each uneven area.

[0089] Through the first calculation formula Calculate the abnormal value Y, where i represents the crack quantity label and j represents the uneven quantity label.

[0090] Compare the abnormal value Y with the preset abnormal threshold P.

[0091] If the abnormal value Y is greater than or equal to the preset abnormal threshold P, it indicates that the asphalt paving layer is in an abnormal state.

[0092] If the outlier Y is less than the preset outlier threshold P, it indicates that there is no abnormal state in the asphalt paving layer.

[0093] It should be noted that the preset outlier threshold P here can be adjusted according to the actual situation. By comparing the outlier Y with the preset outlier threshold P, it can be judged whether there is an abnormal state in the asphalt paving layer. If there is an abnormal state in the asphalt paving layer, it is necessary to analyze the composition structure information of the asphalt paving layer in the abnormal asphalt paving area and the comparative composition structure information to judge whether the asphalt paving layer is qualified.

[0094] Calculate the proportion of the abnormal area by calculating the abnormal asphalt paving area and the overall area of the test road surface, and judge whether the proportion of the abnormal area meets the preset conditions, which specifically includes the following steps.

[0095] Obtain the area information of the abnormal asphalt paving area and the area information of the overall area of the test road surface.

[0096] Take values and mark the area information of the abnormal asphalt paving area to obtain the abnormal asphalt paving area value A 1 ; Take values and mark the area information of the overall area of the test road surface to obtain the total area value A of the test road surface 2 .

[0097] Calculate the proportion of the abnormal area Q through the second calculation formula

[0098] Compare the proportion of the abnormal area Q with the preset proportion threshold B of the abnormal area.

[0099] If the proportion of the abnormal area Q is greater than or equal to the preset proportion threshold B of the abnormal area, it indicates that the proportion of the abnormal area meets the preset conditions.

[0100] If the proportion of the abnormal area Q is less than the preset proportion threshold B of the abnormal area, it indicates that the proportion of the abnormal area does not meet the preset conditions.

[0101] It should be noted that the proportion of the abnormal area Q is calculated through the second calculation formula The proportion of the abnormal area Q can reflect the abnormal degree of the test road surface. At the same time, the proportion of the abnormal area Q in this application can be adjusted according to the actual situation. At the same time, compare the proportion of the abnormal area Q with the preset proportion threshold B of the abnormal area. If the proportion of the abnormal area Q is greater than or equal to the preset proportion threshold B of the abnormal area, it indicates that the proportion of the abnormal area meets the preset conditions, that is, the asphalt paving layer paved on the test road surface basically shows a comprehensive abnormal damage phenomenon. If the proportion of the abnormal area Q is less than the preset proportion threshold B of the abnormal area, it indicates that the proportion of the abnormal area does not meet the preset conditions, that is, the asphalt paving layer paved on the test road surface only shows a local abnormal damage phenomenon. ​

[0102] If the asphalt paving layer of the test road surface shows basically overall abnormal damage, since there is basically no intact asphalt paving layer in this test section at this time, it is necessary to compare and analyze the composition structure information of the asphalt paving layer in the abnormal asphalt paving area with the composition structure information of the standard asphalt paving layer; if only partial abnormal damage occurs in the asphalt paving layer of the test road surface, and there is still an asphalt paving layer in the test road surface in a normal state (i.e., no abnormal damage), it is necessary to compare and analyze the composition structure information of the asphalt paving layer in the abnormal asphalt paving area with the composition structure information of the asphalt paving layer in the normal asphalt paving area, so as to directly obtain what kind of asphalt paving layer of asphalt mixture is required for this test road surface.

[0103] Process and analyze the composition structure information of the asphalt paving layer in the abnormal asphalt paving area and the comparison composition structure information to obtain the performance influence value, which specifically includes the following steps:

[0104] The composition structure information includes the types of composition components and the content of each composition component.

[0105] Mark the types of composition components of the asphalt paving layer of the test road surface that are more than those of the comparison composition structure as additional composition component types, mark the types of composition components of the asphalt paving layer of the test road surface that are less than those of the comparison composition structure as missing composition component types, and mark the types of composition components of the asphalt paving layer of the test road surface that are within the types of composition components of the comparison composition structure as the same composition component types.

[0106] Obtain the content of each additional composition component, and obtain the set of negative influence ranges and the set of positive influence ranges of the content of each additional composition component on the performance of the asphalt mixture in the abnormal asphalt paving area by means of table lookup and pairing.

[0107] Obtain the set of negative influence ranges of the performance of the asphalt mixture in the abnormal asphalt paving area for each missing composition component by means of table lookup and pairing.

[0108] Obtain the content of each composition component in the asphalt paving layer of the abnormal asphalt paving area with the same composition component type, and obtain the content of each composition component in the comparison composition structure with the same composition component type. Mark the content of this composition component in the asphalt paving layer of the abnormal asphalt paving area with the same composition component type that is greater than the content of this composition component in the comparison composition structure as the content of the same type of additional component; mark the content of this composition component in the asphalt paving layer of the abnormal asphalt paving area with the same composition component type that is less than the content of this composition component in the comparison composition structure as the content of the same type of missing component.

[0109] By means of table lookup and pairing, obtain the set of negative influence ranges (Set Three) and the set of positive influence ranges (Set Two) of the content of each same type of additional component on the performance of the asphalt mixture in the abnormal asphalt paving area.

[0110] By means of table lookup and pairing, obtain the set of negative influence ranges (Set Four) of the content of each same type of missing component on the performance of the asphalt mixture in the abnormal asphalt paving area.

[0111] Perform calculation processing on the set of negative influence ranges (Set One), the set of negative influence ranges (Set Two), the set of negative influence ranges (Set Three), the set of negative influence ranges (Set Four), the set of positive influence ranges (Set One), and the set of positive influence ranges (Set One) to obtain the performance influence value (Value One).

[0112] It should be noted that since the types of components in the asphalt paving layer of the test road surface may be inconsistent with those in the comparative composition structure, when the types of components in the asphalt paving layer of the test road surface are inconsistent with those in the comparative composition structure, the inconsistent component types need to be screened out. If the types of components in the asphalt paving layer of the test road surface are more than those in the comparative composition structure, they are marked as additional component types; if the types of components in the asphalt paving layer of the test road surface are less than those in the comparative composition structure, they are marked as missing component types; if the types of components in the asphalt paving layer of the test road surface are within the types of components in the comparative composition structure, they are marked as the same component types.

[0113] If there are additional component types, obtain the content of this type of additional component. Since it can be known from historical experiments the influence ranges of the content of each component on various aspects of the asphalt paving layer and summarize them into a table, when we detect that the content of the additional Component D is 10%, we can look up the table to determine the influence on the performance of the asphalt paving layer. For example, by looking up the table, it can be determined that the content of Component D being 10% causes the a performance range of the asphalt paving layer to decrease by 10%, and at the same time, the content of Component D being 10% causes the b performance range of the asphalt paving layer to increase by 5%. Then, the decrease of the a performance range of the asphalt paving layer by 10% is the set of negative influence ranges (Set One), and the increase of the b performance range of the asphalt paving layer by 5% is the set of positive influence ranges (Set One).

[0114] If there is a lack of component types, obtain the component content of that type in the comparison component structure. For example, if it is detected that the component of type E is a missing component, obtain the component content of type E in the comparison component structure. For example, the component content of type E in the comparison component structure is 10%. At the same time, by looking up the table, it can be determined that if the component of type E is contained, the b performance range of the asphalt paving layer is increased by 8%. Since the asphalt paving layer in the abnormal asphalt paving area lacks the component of type E with a content of 10%, the b performance of the asphalt paving layer in the abnormal asphalt paving area is reduced by 8%. Then, the 8% reduction in the b performance range of the asphalt paving layer in the abnormal asphalt paving area is the second set of negative impact ranges.

[0115] If the component types of the asphalt paving layer in the abnormal asphalt paving area are the same as those of the comparison component structure, compare the component content of the asphalt paving layer in the abnormal asphalt paving area with the component content of the comparison component structure to determine whether the two component contents are the same. If the content of a certain component in the asphalt paving layer of the abnormal asphalt paving area with the same component type is greater than the content of that component in the comparison component structure, it is marked as the additional component content of the same type; if the content of a certain component in the asphalt paving layer of the abnormal asphalt paving area with the same component type is less than the content of that component in the comparison component structure, it is marked as the missing component content of the same type.

[0116] If there is an additional component content of 6% of the same type F, by looking up the table, it can be determined that the additional component content of 6% of the same type F causes the a performance range of the asphalt paving layer to increase by 3% and the b performance range of the asphalt paving layer to increase by 2%. Then, the 3% increase in the a performance range of the asphalt paving layer is the third set of negative impact ranges, and the 2% increase in the b performance range of the asphalt paving layer is the second set of positive impact ranges.

[0117] If there is a missing component of type G, compare the content of the missing component of type G in the asphalt paving layer of the abnormal asphalt paving area with the content of the missing component of type G in the comparison component structure. If it is obtained that the content of the missing component of type G in the asphalt paving layer of the abnormal asphalt paving area is reduced by 9%, and by looking up the table, it can be determined that the e performance range of the asphalt paving layer is reduced by 16%, then the 16% reduction in the e performance range of the asphalt paving layer is the fourth set of negative impact ranges.

[0118] Perform calculation processing on the first set of negative impact ranges, the second set of negative impact ranges, the third set of negative impact ranges, the fourth set of negative impact ranges, the first set of positive impact ranges, and the first set of positive impact ranges to obtain the first performance impact value, which specifically includes the following steps.

[0119] Obtain the types of performance data affected in the first set of negative impact magnitudes, the second set of negative impact magnitudes, the third set of negative impact magnitudes, and the fourth set of negative impact magnitudes, mark them as the types of negative data performance impacts, and obtain the impact magnitude values of the types of negative data performance impacts.

[0120] Obtain the types of performance data affected in the first set of positive impact magnitudes and the second set of positive impact magnitudes, mark them as the types of positive data performance impacts, and obtain the impact magnitude values of the types of positive data performance impacts.

[0121] Judge whether the types of negative data performance impacts are the same as the types of positive data performance impacts. If there are cases where the types of negative data performance impacts are the same as the types of positive data performance impacts, then calculate the difference between the impact magnitude values of the types of negative data performance impacts and the impact magnitude values of the types of positive data performance impacts to obtain the impact magnitude value.

[0122] If the impact magnitude value is less than or equal to zero, then accumulate the impact magnitude values of the types of negative data performance impacts in the remaining first set of negative impact magnitudes, the second set of negative impact magnitudes, the third set of negative impact magnitudes, and the fourth set of negative impact magnitudes to obtain the performance impact value.

[0123] If the impact magnitude value is greater than zero, then accumulate the impact magnitude value with the impact magnitude values of the types of negative data performance impacts in the remaining first set of negative impact magnitudes, the second set of negative impact magnitudes, the third set of negative impact magnitudes, and the fourth set of negative impact magnitudes to obtain the performance impact value.

[0124] Judge whether the types of negative data performance impacts are the same as the types of positive data performance impacts. If there are no cases where the types of negative data performance impacts are the same as the types of positive data performance impacts, then accumulate the impact magnitude values of the types of negative data performance impacts in all the first set of negative impact magnitudes, the second set of negative impact magnitudes, the third set of negative impact magnitudes, and the fourth set of negative impact magnitudes to obtain the performance impact value.

[0125] It should be noted that if the a performance magnitude of the asphalt paving layer in the first set of negative impact magnitudes decreases by 10%, the b performance magnitude of the asphalt paving layer in the second set of negative impact magnitudes decreases by 8%, the a performance magnitude of the asphalt paving layer in the third set of negative impact magnitudes increases by 3%, the e performance magnitude of the asphalt paving layer in the fourth set of negative impact magnitudes decreases by 16%, the b performance magnitude of the asphalt paving layer in the first set of positive impact magnitudes increases by 5%, and the b performance magnitude of the asphalt paving layer in the second set of positive impact magnitudes increases by 2%. Therefore, the types of negative data performance impacts are the a performance of the asphalt paving layer, the b performance of the asphalt paving layer, and the e performance of the asphalt paving layer, and the type of positive data performance impact is the b performance of the asphalt paving layer.

[0126] This application first determines whether there is a situation where the types of negative data performance impacts are the same as those of positive data performance impacts. If the types of negative data performance impacts are the same as those of positive data performance impacts, the difference between the impact amplitude value of the negative data performance impact type and the impact amplitude value of the positive data performance impact type is calculated to obtain the impact amplitude value. If the impact amplitude value is less than or equal to zero, it means that the negative data performance of this type does not exist. Therefore, only the impact amplitude values of the negative data performance impact types in the remaining negative impact amplitude sets one, two, three, and four need to be accumulated to obtain the performance impact value.

[0127] For example, the a performance amplitude of the asphalt paving layer in the negative impact amplitude set one decreased by 10%, the b performance amplitude of the asphalt paving layer in the negative impact amplitude set two decreased by 8%, the a performance amplitude of the asphalt paving layer in the negative impact amplitude set three increased by 3%, the e performance amplitude of the asphalt paving layer in the negative impact amplitude set four decreased by 16%, the b performance amplitude of the asphalt paving layer in the positive impact amplitude set one increased by 5%, and the b performance amplitude of the asphalt paving layer in the positive impact amplitude set two increased by 10%. Therefore, the types of negative data performance impacts are the a performance of the asphalt paving layer, the b performance of the asphalt paving layer, and the e performance of the asphalt paving layer, and the type of positive data performance impact is the b performance of the asphalt paving layer. For example, there is the same b performance of the asphalt paving layer in the types of negative data performance impacts and positive data performance impacts here, and the b performance of the asphalt paving layer in the types of negative data performance impacts is less than that of the b performance of the asphalt paving layer in the types of positive data performance impacts. Therefore, the impact amplitude value of the b performance of the asphalt paving layer is removed here, and the impact amplitude values of the negative data performance impact types in the remaining negative impact amplitude sets one, two, three, and four are accumulated to obtain the performance impact value.

[0128] For example, the a performance amplitude of the asphalt paving layer in the negative impact amplitude set one decreased by 10%, the b performance amplitude of the asphalt paving layer in the negative impact amplitude set two decreased by 8%, the a performance amplitude of the asphalt paving layer in the negative impact amplitude set three increased by 3%, the e performance amplitude of the asphalt paving layer in the negative impact amplitude set four decreased by 16%, the b performance amplitude of the asphalt paving layer in the positive impact amplitude set one increased by 5%, and the b performance amplitude of the asphalt paving layer in the positive impact amplitude set two increased by 1%. Therefore, the types of negative data performance impacts are the a performance of the asphalt paving layer, the b performance of the asphalt paving layer, and the e performance of the asphalt paving layer, and the type of positive data performance impact is the b performance of the asphalt paving layer. For example, there is the same b performance of the asphalt paving layer in the types of negative data performance impacts and positive data performance impacts here, and the difference between the impact amplitude value of the b performance of the asphalt paving layer in the negative data performance impact type and the impact amplitude value of the b performance of the asphalt paving layer in the positive data performance impact type is calculated to obtain an impact amplitude value of 2%. Therefore, the impact amplitude value of 2% of the b of the asphalt paving layer is accumulated with the impact amplitude values of the types of negative data performance impacts in the remaining negative impact amplitude set one, negative impact amplitude set two, negative impact amplitude set three, and negative impact amplitude set four to obtain the performance impact value.

[0129] Judge whether the asphalt paving layer paved on the test road surface is qualified through the performance impact value, which specifically includes the following steps:

[0130] Compare the performance impact value with a preset performance impact threshold.

[0131] If the performance impact value is greater than or equal to the preset performance impact threshold, it indicates that the asphalt paving layer paved in the abnormal asphalt paving area is unqualified.

[0132] If the performance impact value is less than the preset performance impact threshold, it indicates that the asphalt paving layer paved in the abnormal asphalt paving area is qualified.

[0133] It should be noted that the preset performance impact threshold here can be adjusted according to the actual situation. If the performance impact value is greater than or equal to the preset performance impact threshold, it indicates that the asphalt paving layer paved in the abnormal asphalt paving area is unqualified; if the performance impact value is less than the preset performance impact threshold, it indicates that the asphalt paving layer paved in the abnormal asphalt paving area is qualified.

[0134] Embodiment 2 adds the following technical features on the basis of Embodiment 1:

[0135] An intelligent detection method for asphalt mixture performance data. When the asphalt paving layer paved in the abnormal asphalt paving area is qualified, it further includes the following steps:

[0136] Obtain the foundation composition structure information and standard foundation composition structure information of the abnormal asphalt paving area.

[0137] Compare the foundation composition structure information of the abnormal asphalt paving area with the standard foundation composition structure information to obtain the differential composition structure information.

[0138] Determine the direct impact of the differential composition structure information on the foundation stability of the abnormal asphalt paving area to obtain the first performance impact, and determine the indirect impact of the differential composition structure information on the chemical action of the asphalt mixture in the abnormal asphalt paving area to obtain the second performance impact; among them, the first performance impact and the second performance impact are combined to form an indirect performance impact.

[0139] It should be noted that if there is an abnormal asphalt paving area on the test road surface, but the asphalt paving layer paved in the abnormal asphalt paving area is qualified, it indicates that to a large extent, it is the abnormal foundation composition structure in the abnormal asphalt paving area that leads to the appearance of the abnormal asphalt paving area. Therefore, it is necessary to detect the foundation composition structure of the abnormal asphalt paving area, compare the foundation composition structure information of the abnormal asphalt paving area with the standard foundation composition structure information to obtain the differential composition structure information, and determine the direct impact of the differential composition structure information on the foundation stability of the abnormal asphalt paving area to obtain the first performance impact, which mainly refers to the physical impact. For example, if most of the foundation composition structure in the abnormal asphalt paving area is fine sand, it means that the foundation of the abnormal asphalt paving area is unstable, that is, there is a first performance impact; determine the indirect impact of the differential composition structure information on the chemical action of the asphalt mixture in the abnormal asphalt paving area to obtain the second performance impact, which mainly refers to whether the foundation composition structure in the abnormal asphalt paving area has a chemical action on the asphalt mixture in the abnormal asphalt paving area. If some substances in the foundation composition structure in the abnormal asphalt paving area have a chemical action with the asphalt mixture in the abnormal asphalt paving area, there is a second performance impact.

[0140] When there is an indirect performance impact, obtain whether the composition components in the differential composition structure information have fluidity.

[0141] It should be noted that if the composition component in the differential composition structure information is a liquid, such as the composition structure in the differential composition structure information is a corrosive liquid, it means that the corrosive liquid has fluidity.

[0142] If the composition components in the differential composition structure information do not have fluidity, then judge the foundation performance impact situation of the abnormal asphalt paving area through the abnormal area ratio Q.

[0143] It should be noted that if the composition components in the differential composition structure information do not have fluidity, it means that there will be no chemical action on the normal asphalt paving area. Therefore, judge the foundation performance impact situation of the abnormal asphalt paving area through the abnormal area ratio Q.

[0144] If the constituent components in the differential constituent structure information are mobile, obtain the flow direction of the constituent components in the differential constituent structure information. If the constituent components in the differential constituent structure information flow towards the normal asphalt paving layer, obtain the volume value of the constituent structure containing the differential constituent structure information, and judge the influence of the foundation performance of the abnormal asphalt paving area by combining the volume value of the constituent structure containing the differential constituent structure information and the volume value of the abnormal asphalt paving area.

[0145] It should be noted that if the constituent components in the differential constituent structure information are mobile and the constituent components in the differential constituent structure information flow towards the normal asphalt paving layer, it means that no chemical reaction will occur in the normal asphalt paving area. Then, detect the volume value of the constituent structure containing the differential constituent structure information by a detector, and judge the influence of the foundation performance of the abnormal asphalt paving area by combining the volume value of the constituent structure containing the differential constituent structure information and the volume value of the abnormal asphalt paving area.

[0146] If the constituent components in the differential constituent structure information are mobile and the constituent components in the differential constituent structure information do not flow towards the asphalt paving layer, judge the influence of the foundation performance of the abnormal asphalt paving area by the proportion Q of the abnormal area.

[0147] Then judge the influence of the foundation performance of the abnormal asphalt paving area by the proportion Q of the abnormal area, which specifically includes the following steps:

[0148] Compare the proportion Q of the abnormal area with the preset comparison threshold B 1 Make a comparison.

[0149] If the proportion Q of the abnormal area is less than or equal to the preset comparison threshold B 1 , it means that the foundation performance of the abnormal asphalt paving area is at a first-level influence.

[0150] If the proportion Q of the abnormal area is greater than the preset comparison threshold B 1 , it means that the foundation performance of the abnormal asphalt paving area is at a second-level influence. Among them, the influence degree of the second-level influence is greater than that of the first-level influence.

[0151] It should be noted that the preset comparison threshold B here 1 can be adjusted according to the actual situation.

[0152] Judge the foundation performance of the abnormal asphalt paving area by combining the volume value of the constituent structure containing the differential constituent structure information and the volume value of the abnormal asphalt paving area, which specifically includes the following steps:

[0153] Accumulate and calculate the volume value of the constituent structure containing the differential constituent structure information and the volume value of the abnormal asphalt paving area to obtain the structure volume value C 1 .

[0154] Compare the structural volume value C 1 with a preset structural volume threshold C 2 .

[0155] If the structural volume value C 1 is less than or equal to the preset structural volume threshold C 2 , it indicates that the foundation performance of the abnormal asphalt paving area has a third-level impact.

[0156] If the structural volume value C 1 is greater than the preset structural volume threshold C 2 , it indicates that the foundation performance of the abnormal asphalt paving area has a fourth-level impact. Among them, the degree of impact of the fourth-level impact is greater than that of the third-level impact.

[0157] It should be noted that the preset structural volume threshold C 2 here can be adjusted according to the actual situation.

[0158] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0159] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present invention.

Claims

1. An intelligent asphalt mixture performance data detection method, characterized in that: The method comprises the following steps: The recycled asphalt pavement material is regenerated and then paved on the test pavement to form an asphalt paving layer. During normal use of the test pavement with the asphalt paving layer, it is determined whether the asphalt paving layer is in an abnormal state; The area where the asphalt paving layer is abnormal is marked as the abnormal asphalt paving area, and the area where the asphalt paving layer is not abnormal is marked as the normal asphalt paving area. The abnormal asphalt paving area and the overall area of ​​the test road surface are calculated to obtain the abnormal area ratio, and it is determined whether the abnormal area ratio meets the preset conditions; Obtaining composition structure information and comparative composition structure information of the asphalt paving layer in the abnormal asphalt paving area. When the abnormal area ratio meets the preset conditions, the comparative composition structure information refers to the composition structure information of the standard asphalt paving layer. When the abnormal area ratio does not meet the preset conditions, the comparative composition structure information refers to the composition structure information of the asphalt paving layer in the normal asphalt paving area. The composition structure information of the asphalt paving layer in the abnormal asphalt paving area and the comparative composition structure information are processed and analyzed to obtain the performance impact value; The performance impact value is used to determine whether the asphalt paving layer paved in the abnormal asphalt paving area is qualified.

2. The intelligent asphalt mixture performance data detection method according to claim 1 is characterized in that: During normal use of a test road surface on which an asphalt paving layer has been laid, determining whether the asphalt paving layer is in an abnormal state specifically includes the following steps: Obtain crack information and flatness information of a test road surface paved with an asphalt paving layer, wherein the crack information includes information on the number of cracks and information on the maximum crack width of each crack, and the flatness information includes information on the number of unevenness and information on the height values ​​of the highest and lowest points of each unevenness; The number of cracks, the maximum crack width of each crack, the number of unevenness, and the height information of the highest and lowest points of each unevenness are calculated to obtain an abnormal value, and the abnormal value is compared with the preset abnormal threshold to determine whether the asphalt paving layer has any abnormal state.

3. The intelligent asphalt mixture performance data detection method according to claim 2 is characterized in that: The number of cracks, the maximum crack width of each crack, the number of unevenness, and the height of the highest and lowest points of each unevenness are calculated to obtain an abnormal value, and the abnormal value is compared with the preset abnormal threshold to determine whether the asphalt paving layer has an abnormal state, specifically: The crack quantity information is taken and marked to obtain the total number of cracks n; The maximum crack width information in each crack is taken and marked to obtain the maximum crack width value L in each crack; The uneven quantity information is taken and marked to obtain the total uneven quantity value m; The height information of the highest point and the lowest point of each unevenness is taken and marked to obtain the height difference H of each unevenness; By the first calculation formula The outlier value Y is calculated, where i represents the number of cracks and j represents the number of unevenness; Compare the outlier value Y with the preset outlier threshold P: If the abnormal value Y is greater than or equal to the preset abnormal threshold value P, it means that the asphalt paving layer is in an abnormal state; If the abnormal value Y is less than the preset abnormal threshold value P, it means that the asphalt paving layer is not in an abnormal state.

4. The intelligent asphalt mixture performance data detection method according to claim 1 is characterized in that: The abnormal asphalt paving area and the overall area of ​​the test road surface are calculated to obtain the abnormal area ratio, and whether the abnormal area ratio meets the preset conditions is determined, specifically including the following steps: Obtaining the area information of the abnormal asphalt paving area and the area information of the entire test road surface area; The area information of the abnormal asphalt paving area is taken and marked to obtain the area value A1 of the abnormal asphalt paving area; the area information of the entire test road surface is taken and marked to obtain the total area value A2 of the test road surface; By the second calculation formula The abnormal area ratio Q is calculated; Compare the abnormal area ratio Q with the preset abnormal area ratio threshold B; If the abnormal area ratio Q is greater than or equal to the preset abnormal area ratio threshold B, it means that the abnormal area ratio meets the preset conditions; If the abnormal area ratio Q is less than the preset abnormal area ratio threshold B, it means that the abnormal area ratio does not meet the preset conditions.

5. The intelligent asphalt mixture performance data detection method according to claim 1 is characterized in that: The composition structure information of the asphalt paving layer in the abnormal asphalt paving area and the comparative composition structure information are processed and analyzed to obtain the performance impact value, which specifically includes the following steps: The composition structure information includes the types of components and the content of each component; The component types of the asphalt paving layer of the test road surface paving are more than the component types of the comparative composition structure, which are marked as additional component types; the component types of the asphalt paving layer of the test road surface paving are less than the component types of the comparative composition structure, which are marked as missing component types; the component types of the asphalt paving layer of the test road surface paving are within the component types of the comparative composition structure, which are marked as the same component types; The content of each additional component is obtained, and the negative impact amplitude set 1 and the positive impact amplitude set 1 of the content of each additional component on the performance of the asphalt mixture in the abnormal asphalt paving area are obtained by table lookup and pairing; By looking up the table and pairing, we can get the negative impact of each missing component on the performance of asphalt mixture in the abnormal asphalt paving area; Obtain the content of each component in the asphalt paving layer of the abnormal asphalt paving area of ​​the same component type, and obtain the content of each component in the comparative composition structure of the same component type, and mark the content of the component in the asphalt paving layer of the abnormal asphalt paving area of ​​the same component type that is greater than the content of the component in the comparative composition structure as the content of the additional component of the same type; mark the content of the component in the asphalt paving layer of the abnormal asphalt paving area of ​​the same component type that is less than the content of the component in the comparative composition structure as the content of the missing component of the same type; By looking up the table and pairing, we can get the negative impact range set 3 and positive impact range set 2 of each same type of additional component content on the performance of asphalt mixture in the abnormal asphalt paving area; By looking up the table and pairing, we can get the negative impact of each missing component content of the same type on the performance of asphalt mixture in the abnormal asphalt paving area; The negative impact amplitude set one, the negative impact amplitude set two, the negative impact amplitude set three, the negative impact amplitude set four, the positive impact amplitude set one and the positive impact amplitude set one are calculated and processed to obtain a performance impact value one.

6. The intelligent asphalt mixture performance data detection method according to claim 5 is characterized in that: The negative impact amplitude set 1, the negative impact amplitude set 2, the negative impact amplitude set 3, the negative impact amplitude set 4, the positive impact amplitude set 1 and the positive impact amplitude set 1 are calculated to obtain a performance impact value 1, specifically including the following steps: Obtain the types of performance impact data in the negative impact amplitude set 1, the negative impact amplitude set 2, the negative impact amplitude set 3, and the negative impact amplitude set 4 and mark them as negative data performance impact types, and obtain the impact amplitude values ​​of the negative data performance impact types; Obtaining the types of performance-influencing data in the positive impact amplitude set 1 and the positive impact amplitude set 2 and marking them as positive data performance-influencing types, and obtaining the impact amplitude values ​​of the positive data performance-influencing types; Determine whether the negative data performance impact type is the same as the positive data performance impact type. If the negative data performance impact type is the same as the positive data performance impact type, calculate the difference between the impact amplitude value of the negative data performance impact type and the impact amplitude value of the positive data performance impact type to obtain the impact amplitude value. If the impact amplitude value is less than or equal to zero, the impact amplitude values ​​of the negative data performance impact types in the remaining negative impact amplitude set 1, negative impact amplitude set 2, negative impact amplitude set 3, and negative impact amplitude set 4 are accumulated and calculated to obtain the performance impact value; If the impact amplitude value is greater than zero, the impact amplitude value is added to the impact amplitude values ​​of the negative data performance impact types in the remaining negative impact amplitude set one, negative impact amplitude set two, negative impact amplitude set three, and negative impact amplitude set four to obtain the performance impact value.

7. The intelligent asphalt mixture performance data detection method according to claim 1 is characterized in that: The performance impact value is used to determine whether the asphalt paving layer laid on the test road surface is qualified, which specifically includes the following steps: Compare the performance impact value with the preset performance impact threshold: If the performance impact value is greater than or equal to the preset performance impact threshold, it means that the asphalt paving layer paved in the abnormal asphalt paving area is unqualified; If the performance impact value is less than a preset performance impact threshold, it means that the asphalt paving layer paved in the abnormal asphalt paving area is qualified.

8. The intelligent asphalt mixture performance data detection method according to claim 7 is characterized in that: When the asphalt paving layer paved in the abnormal asphalt paving area is qualified, the following steps are also included: Obtaining foundation composition and structure information of abnormal asphalt paving areas and standard foundation composition and structure information; Comparing the foundation composition and structure information of the abnormal asphalt paving area with the standard foundation composition and structure information to obtain difference composition and structure information; Determine the direct effect of the difference composition structure information on the foundation stability of the abnormal asphalt paving area to obtain a first performance effect, and determine the indirect effect of the difference composition structure information on the chemical reaction of the asphalt mixture in the abnormal asphalt paving area to obtain a second performance effect; wherein the first performance effect and the second performance effect are combined to form an indirect performance effect; When there is an indirect performance impact, whether the composition structure components in the differential composition structure information are fluid; If the composition structure components in the difference composition structure information are not fluid, the influence of the abnormal asphalt paving area on the foundation performance is judged by the abnormal area proportion Q; If the composition structure components in the difference composition structure information are fluid, the flow direction of the composition structure components in the difference composition structure information is obtained; if the composition structure components in the difference composition structure information flow toward the normal asphalt paving layer, the composition structure volume value containing the difference composition structure information is obtained, and the foundation performance of the abnormal asphalt paving area is judged by combining the composition structure volume value containing the difference composition structure information and the volume value of the abnormal asphalt paving area; If the composition structural components in the difference composition structural information are fluid, and the composition structural components in the difference composition structural information do not flow toward the asphalt paving layer, the foundation performance of the abnormal asphalt paving area is judged by the abnormal asphalt paving area area value A1.

9. The intelligent asphalt mixture performance data detection method according to claim 8 is characterized in that: The influence of abnormal asphalt paving area on foundation performance is judged by the abnormal area proportion Q, which specifically includes the following steps: Compare the abnormal area proportion Q with the preset comparison threshold B1; If the abnormal area proportion Q is less than or equal to the preset comparison threshold B1, it means that the foundation performance of the abnormal asphalt paving area is a first-level impact; If the abnormal area proportion Q is greater than the preset comparison threshold B1, it means that the foundation performance of the abnormal asphalt paving area is a secondary impact.

10. The intelligent asphalt mixture performance data detection method according to claim 8, characterized in that: Combining the composition structure volume value containing the difference composition structure information and the volume value of the abnormal asphalt paving area to judge the foundation performance of the abnormal asphalt paving area specifically includes the following steps: The structure volume value C1 is obtained by accumulating the structure volume value containing the difference structure information and the abnormal asphalt paving area volume value; Compare the structure volume value C1 with a preset structure volume threshold C2; If the structural volume value C1 is less than or equal to the preset structural volume threshold C2, it means that the foundation performance of the abnormal asphalt paving area is a third-level impact; If the structural volume value C1 is greater than the preset structural volume threshold C2, it means that the foundation performance of the abnormal asphalt paving area is a level 4 impact.

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