Asphalt pavement compaction detection method, system, equipment, medium and program product

Abstract

The invention discloses an asphalt pavement compaction detection method, system and equipment, a medium and a program product. The method comprises the following steps: determining a target measurement point in a specified position range of a non-test section of an asphalt pavement; after pavement non-test section paving operation is carried out, a non-nuclear density instrument is used for carrying out compaction degree testing on a target measurement point, and then compaction degree data is obtained; and when the compaction times reach the reference compaction times, carrying out compaction working condition detection on other measurement points of the pavement on which each layer of asphalt is paved on the basis of the field calibration density and a nuclear-free density instrument. According to the method, a large amount of continuous compaction degree data is obtained through the nuclear-free density instrument, the problem of pavement structure damage caused by core drilling sampling is avoided, the compaction working conditions of other measuring points are detected again based on the reference compaction times and the field calibration density in combination with the nuclear-free density instrument, the compaction quality of the asphalt pavement is accurately evaluated, and the detection accuracy is improved. And the accuracy and rapidity of a detection result are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of asphalt mixing construction, and in particular to a method, system, equipment, medium and program product for asphalt pavement compaction detection. Background Art

[0002] During the asphalt pavement construction process, since compaction is a key indicator of asphalt pavement quality, rapid and accurate testing of compaction is essential to ensure construction progress and timely monitor construction quality. At present, the on-site core sampling method is used to test the compaction of asphalt pavement. A certain number of core samples are drilled from the pavement, and then the samples are dried in an oven to constant weight and the density is calculated. The ratio of the calculated density of the sample to the standard density under the same conditions is used as the compaction degree.

[0003] However, the aforementioned sampling method is highly destructive and causes certain damage to the road surface. In addition, the limited number of samples obtained cannot fully represent the conditions of the entire road surface, which affects the representativeness of the data and the accuracy of the results. Summary of the invention

[0004] The technical problem to be solved by the present invention is to overcome the defects of the prior art of using on-site core sampling method to detect the compaction of asphalt pavement, which causes strong destructiveness to the pavement, poor data representativeness and low accuracy of the test results, and to provide a method, system, equipment, medium and computer product for asphalt pavement compaction detection.

[0005] The present invention solves the above technical problems through the following technical solutions:

[0006] In a first aspect, the present invention provides a method for detecting compaction of an asphalt pavement, the method comprising:

[0007] Determine the target measurement point within the specified location range of the non-test section of the asphalt pavement;

[0008] After the paving operation of the non-test section of the road surface, the compaction test is performed on the target measuring point using a non-nuclear density meter to obtain compaction data; the compaction data includes compaction values ​​corresponding to several compaction passes of the target measuring point, the largest compaction value is used as the on-site calibration density, and the compaction passes corresponding to the largest compaction value is used as the reference compaction pass;

[0009] When the number of compaction passes reaches the reference number of compaction passes, compaction condition detection is performed on other measuring points of the road surface after each layer of asphalt is paved based on the on-site calibration density and the non-nuclear density meter.

[0010] Preferably, when the number of compaction passes reaches the reference number of compaction passes, the step of using the non-nuclear density meter to detect the compaction condition of other measuring points on the road surface after each layer of asphalt is paved includes:

[0011] Obtaining the density of the measuring points detected by the non-nuclear density meter when the other measuring points are compacted to the reference number of compaction passes;

[0012] Calculating the degree of compaction at the measuring point based on the density at the measuring point and the field calibration density;

[0013] The compaction condition detection is performed on the non-test section of the road surface according to the compaction degree of the measuring point and the compaction degree threshold range.

[0014] Preferably, the step of performing compaction condition detection on the non-test section of the road surface according to the compaction degree of the measuring point and the compaction degree threshold range includes:

[0015] If the compaction data of the measuring point does not fall within the compaction threshold range, it is determined that the non-test section of the road surface does not meet the compaction working condition requirements, and the compaction operation is updated according to the preset adjustment rules; the preset adjustment rules include adjusting the number of compaction passes, adjusting the compaction speed, adjusting the vibration frequency of the roller, and adjusting the asphalt mixture temperature.

[0016] Preferably, before the step of determining the target measurement point within the specified position range of the non-test section of the asphalt pavement, the method further comprises:

[0017] After the pavement test section is paved, the gross volume relative density data of the asphalt pavement and the gross volume relative density data of the core sample are obtained; the gross volume relative density data is used to characterize the relative density data measured by a non-nuclear density meter before core drilling, and the core sample gross volume relative density data is used to characterize the relative density data calculated indoors after core drilling;

[0018] A density deviation compensation value is determined based on the gross volume relative density data and the core sample gross volume relative density data, and density compensation correction is performed on the non-nuclear density meter according to the density deviation compensation value.

[0019] Preferably, the step of determining the density deviation compensation value based on the gross volume relative density data and the core sample gross volume relative density data comprises:

[0020] The density deviation compensation value is obtained by the following formula:

[0021]

[0022] Among them, γ ei represents the relative density value of the gross volume at the i-th measurement point, γ si It represents the relative density value of the core sample gross volume at the i-th measurement point, n is the number of measurement points, Indicates the density deviation compensation value of n measurement points.

[0023] Preferably, the target measurement points include measurement points located at non-construction transverse joints, non-construction longitudinal joints, non-near curbs and non-bridge joints within the designated position range.

[0024] In a second aspect, the present invention provides a system for detecting compaction of an asphalt pavement, the system comprising:

[0025] A determination module, used for determining a target measurement point within a specified position range of a non-test section of an asphalt pavement;

[0026] The first acquisition module is used for performing a compaction test on the target measurement point using a non-nuclear density meter to obtain compaction data after the paving operation of the non-test section of the road surface; the compaction data includes compaction values ​​corresponding to a number of compaction passes of the target measurement point, the largest compaction value is used as the on-site calibration density, and the compaction pass number corresponding to the largest compaction value is used as the reference compaction pass number;

[0027] The detection module is used to detect the compaction condition of other measuring points of the road surface after each layer of asphalt is paved based on the on-site calibration density and the non-nuclear density meter when the compaction number reaches the reference compaction number.

[0028] Preferably, the detection module comprises:

[0029] An acquisition unit, used for acquiring the density of the measuring points detected by the non-nuclear density meter when the other measuring points are compacted to the reference compaction number;

[0030] A calculation unit, used for calculating the compaction degree of the measuring point based on the measuring point density and the field calibration density;

[0031] The detection unit is used to detect the compaction condition of the non-test section of the road surface according to the compaction degree of the measuring point and the compaction degree threshold range.

[0032] Preferably, the detection unit is specifically used for:

[0033] If the compaction data of the measuring point does not fall within the compaction threshold range, it is determined that the non-test section of the road surface does not meet the compaction working condition requirements, and the compaction operation is updated according to the preset adjustment rules; the preset adjustment rules include adjusting the number of compaction passes, adjusting the compaction speed, adjusting the vibration frequency of the roller, and adjusting the asphalt mixture temperature.

[0034] Preferably, the system further comprises:

[0035] The second acquisition module is used to obtain the gross volume relative density data and the core sample gross volume relative density data of the asphalt pavement after the pavement test section paving operation; the gross volume relative density data is used to characterize the relative density data measured by a non-nuclear density meter before core drilling, and the core sample gross volume relative density data is used to characterize the relative density data calculated indoors after core drilling;

[0036] A calculation module is used to calculate a density deviation compensation value based on the gross volume relative density data and the core sample gross volume relative density data, and perform density compensation correction on the non-nuclear density meter according to the density deviation compensation value.

[0037] Preferably, the density deviation compensation value is obtained by the following formula:

[0038]

[0039] Among them, γ ei represents the relative density value of the gross volume at the i-th measurement point, γ si It represents the relative density value of the core sample gross volume at the i-th measurement point, n is the number of measurement points, Represents the density deviation compensation value of n measurement points.

[0040] Preferably, the target measurement points include measurement points located at non-construction transverse joints, non-construction longitudinal joints, non-near curbs and non-bridge joints within the designated position range.

[0041] In a third aspect, the present invention provides an electronic device comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the method for detecting compaction of an asphalt pavement as described in the first aspect.

[0042] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the method for detecting compaction of an asphalt pavement as described in the first aspect.

[0043] In a fifth aspect, the present invention provides a computer program product, comprising a computer program, characterized in that when the computer program is executed by a processor, the method for detecting compaction of an asphalt pavement as described in the first aspect is implemented.

[0044] The positive and progressive effects of the present invention are: providing a method, system, device, medium and program product for asphalt pavement compaction detection, after the pavement non-test section is paved, a non-nuclear density meter is used to obtain compaction data and on-site calibration density; when the compaction number is controlled to reach the reference compaction number, the compaction condition of other measuring points is detected based on the on-site calibration density and in combination with the non-nuclear density meter. The present invention obtains a large amount of continuous compaction data through the non-nuclear density meter, avoids the problem of pavement structure damage caused by core sampling, and re-detects the compaction condition of other measuring points based on the reference compaction number and on-site calibration density in combination with the non-nuclear density meter, accurately evaluates the compaction quality of the asphalt pavement, and improves the accuracy and rapidity of the detection results. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a first flow chart of the method for detecting compaction of an asphalt pavement according to Example 1 of the present invention.

[0046] Figure 2 This is a flow chart of step S13 of the method for detecting compaction of an asphalt pavement according to Example 1 of the present invention.

[0047] Figure 3 This is a second flow chart of the method for detecting compaction of an asphalt pavement according to Example 1 of the present invention.

[0048] Figure 4 This is a schematic diagram of the first module of the system for detecting compaction of asphalt pavement according to Example 2 of the present invention.

[0049] Figure 5 This is a schematic diagram of the second module of the system for detecting compaction of asphalt pavement according to Example 2 of the present invention.

[0050] Figure 6 This is a schematic diagram of the hardware structure of an electronic device according to Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0051] The present invention is further described below by way of examples, but the present invention is not limited to the scope of the examples.

[0052] Example 1

[0053] This embodiment provides a method for detecting compaction of an asphalt pavement. Figure 1 As shown, the method includes:

[0054] S11, determining a target measuring point within a designated position range of a non-test section of the asphalt pavement;

[0055] S12. After the paving operation on the non-test section of the road surface, the compaction test is carried out on the target measuring point using a non-nuclear density meter to obtain the compaction data; the compaction data includes the compaction values ​​corresponding to several compaction passes of the target measuring point, the maximum compaction value is used as the on-site calibration density and the compaction passes corresponding to the maximum compaction value are used as the benchmark compaction passes.

[0056] S13. When the number of compaction passes reaches the benchmark number of compaction passes, the compaction condition test is performed on other measuring points of the road surface after each layer of asphalt is laid based on the on-site calibrated density and the non-nuclear density meter.

[0057] Among them, the target measurement points include measurement points at non-construction transverse joints, non-construction longitudinal joints, non-near curbs and non-bridge joints within the specified location range.

[0058] For the above step S11, before the paving operation begins, a target measurement point is randomly selected within a length range of 25m from the starting point. After the paver starts paving, a non-nuclear density meter is used to detect the compaction of the target measurement point to obtain an initial compaction value Y1. After the roller rolls the target measurement point for the first time, the second compaction value Y2 is detected. After the roller compacts the target measurement point for the third, fourth, fifth, and Xth times, compaction values ​​Y3, Y4, Y5, and Yx are obtained respectively. To ensure that the selection of the target measurement point is representative and accurate in data, and can represent the compaction of the entire asphalt layer, try to avoid construction transverse joints, construction longitudinal joints, near curbstones, bridge joints, etc., so as not to affect the reliability and accuracy of the target measurement point.

[0059] For the above steps S12-S13, the continuously measured asphalt pavement compaction value Y and the compaction number X are plotted into a curve. The compaction number Xt corresponding to the peak value or highest point Yt of the compaction curve is the optimal compaction number on site. The compaction number of the asphalt pavement constructed on that day is then determined with Xt as the benchmark compaction number. A non-nuclear density meter is used to perform compaction testing on each layer of asphalt after paving to ensure that the layer meets the compaction requirements. The detection frequency can be set to a shorter distance of every 100 meters or 200 meters to evaluate the compaction quality of the section. The number of test points for the asphalt layer is usually at least 3 test points per lane per layer, located on the left, middle and right positions of each lane, and the focus can be on testing unfavorable positions such as transverse joints, longitudinal joints and edges.

[0060] This embodiment uses a non-nuclear density meter to provide a fast, safe and non-destructive method, which can evaluate the compaction level of asphalt pavement in real time to ensure the construction quality of asphalt pavement; it can quickly detect the compaction and improve the detection efficiency; it does not need to damage the pavement by drilling core samples from the pavement, and the equipment is safe and reliable without radioactive risks.

[0061] like Figure 2As shown, step S13 includes:

[0062] S131. When other measuring points are compacted to the reference compaction number, the density of the measuring points detected by the non-nuclear density meter is obtained.

[0063] S132. Calculate the compaction degree of the measuring point based on the measuring point density and the on-site calibration density.

[0064] S133. Perform compaction condition detection on the non-test section of the road surface according to the compaction degree of the measuring point and the compaction degree threshold range.

[0065] In this embodiment, the density of the measuring point is the density detected after the roller has rolled the reference compaction times. The compaction degree of the measuring point is obtained by calculating the ratio of the density of the measuring point to the on-site calibration density. The compaction degree of the measuring point is compared with the preset compaction degree threshold range. According to the comparison result, it is determined whether the compaction condition of the non-test section of the road surface is under-pressure, over-pressure or normal. This method significantly improves the effectiveness of compaction data collection, the accuracy of the calculation of the compaction degree of the measuring point, and the reliability of the compaction condition detection results.

[0066] Step S133 specifically includes:

[0067] If the compaction data of the measuring point does not fall within the compaction threshold range, it is determined that the non-test section of the road surface does not meet the compaction working condition requirements, and the compaction operation is updated according to the preset adjustment rules; the preset adjustment rules include adjusting the number of compaction passes, adjusting the compaction speed, adjusting the vibration frequency of the roller, and adjusting the asphalt mixture temperature. At least one of the following.

[0068] In this embodiment, if the compaction degree of the road surface is insufficient, that is, the under-pressure state, the under-pressure adjustment method may include but is not limited to: first, increase the compaction number of the roller to improve the compaction degree; second, reduce the driving speed of the roller to adjust the compaction speed, for example, from 3km / h to 2km / h, to improve the compaction effect; third, increase the vibration frequency to improve the compaction degree; fourth, adjust the asphalt mixture temperature to ensure that the temperature of the mixture is within the specified range. If the compaction degree of the road surface is over-pressured, that is, the over-pressure state, the over-pressure adjustment method may include but is not limited to: first, reduce the compaction number of the roller; second, reduce the compaction pressure of the roller, for example, from 20 tons to 15 tons; third, reduce the vibration frequency to improve the compaction degree; fourth, increase the driving speed of the roller to adjust the compaction speed, for example, from 2km / h to 3km / h. This method updates the compaction operation according to the preset adjustment rules to meet the compaction working condition requirements of the asphalt pavement, thereby improving the effectiveness of asphalt pavement compaction detection.

[0069] like Figure 3 As shown, the method also includes:

[0070] S100, after the pavement test section is paved, the gross volume relative density data of the asphalt pavement and the gross volume relative density data of the core sample are obtained; the gross volume relative density data is used to characterize the relative density data measured by a non-nuclear density meter before core drilling, and the core sample gross volume relative density data is used to characterize the relative density data calculated indoors after core drilling;

[0071] S101. Calculate a density deviation compensation value based on the gross volume relative density data and the core sample gross volume relative density data, and perform density compensation calibration on the non-nuclear density meter according to the density deviation compensation value.

[0072] The density deviation compensation value is obtained by the following formula:

[0073]

[0074] Among them, γ ei represents the relative density value of the gross volume at the i-th measurement point, γ si It represents the relative density value of the core sample gross volume at the i-th measurement point, n is the number of measurement points, Represents the density deviation compensation value of n measurement points.

[0075] For the above steps S100-S101, before the formal paving of the asphalt pavement, it is necessary to carry out the paving of the test section of the asphalt pavement. After the test section is completed on the same day, the paving layer needs to be cored and sampled. Before the core is drilled, the gross volume relative density is measured by a non-nuclear density meter, and then the gross volume relative density of the core sample is calculated indoors. The measured gross volume relative density of the core sample and the gross volume relative density measured by the non-nuclear density meter are compared for deviation, and the mean deviation of the two is used as the density deviation compensation value of the non-nuclear density meter.

[0076] The specific implementation of the present invention is further described below in conjunction with specific examples.

[0077] The AC-13 asphalt surface layer of a track in a certain project was selected as the example section. Due to the particularity of the track, it is impossible to drill core samples, and the design requires a compaction degree of ≥ 98%. Therefore, this method is used for real-time compaction detection and compaction quality control. The specific operations are as follows:

[0078] (1) Before formal paving, a test section must be paved. After the AC-13 asphalt pavement test section is paved, the location where the core sampling is required is first tested for density using a non-nuclear density meter, and then the core sampling is tested for density in the laboratory. The deviation of the two densities is used as the density deviation compensation value of the non-nuclear density meter and entered into the instrument. The data is shown in Table 1.

[0079] Table 1

[0080]

[0081]

[0082] The calculation formula of the density mean deviation value is as follows:

[0083]

[0084] Among them, γ ei is the PQI380 gross volume relative density value of the i-th measuring point, γ si is the relative density value of the core sample gross volume at the i-th measuring point, n is the number of measuring points, is the average density deviation of n measuring points.

[0085] 2) Before officially paving the asphalt road surface, select a measuring point in the starting area. After the paver has paved the point, randomly use a non-nuclear density meter to test the compaction degree Y1 of the point and record the data; after the roller has rolled the first time, measure the second compaction degree Y2 of the point, and repeat the compaction degrees Y3, Y4, Y5... The data are shown in Table 2. According to the data results, the optimal number of compaction times is selected as 8 times.

[0086] Table 2

[0087]

[0088] 3) After determining that the number of compaction passes of the AC-13 asphalt layer on that day was 8 times, the detection frequency of the AC-13 asphalt layer was three points every 25 m on each lane. The three points were located on the left, middle and right of each lane. Some of the detection data are shown in Table 3.

[0089] The density at the measuring point is generally the density measured by a non-nuclear density meter after the roller has rolled the surface 8 times; the on-site calibration density is the density measured 8 times by a non-nuclear density meter at the measuring point selected at the starting point of the day.

[0090] Table 3

[0091]

[0092] It can be seen from the final compaction effect that the compaction degree of the road section in this embodiment meets the technical index requirements, indicating that the present invention provides a safe, efficient and economical real-time quality detection method for asphalt pavement construction, which effectively improves the project quality and construction efficiency.

[0093] In this embodiment, a method for detecting the compaction of an asphalt pavement is provided. A large amount of continuous compaction data is obtained through a non-nuclear density meter, thereby avoiding the problems of pavement structure damage, small data volume and poor representativeness caused by core sampling. The compaction conditions of other measuring points are detected again based on the benchmark compaction passes and on-site calibration density in combination with the non-nuclear density meter, so as to accurately evaluate the compaction quality of the asphalt pavement and improve the accuracy and rapidity of the detection results.

[0094] Example 2

[0095] This embodiment provides a system for detecting compaction of an asphalt pavement. Figure 4 As shown, the system includes:

[0096] A determination module 310 is used to determine a target measurement point within a specified position range of a non-test section of an asphalt pavement;

[0097] The acquisition module 320 is used to perform a compaction test on the target measurement point using a non-nuclear density meter after the paving operation of the non-test section of the road surface to obtain compaction data; the compaction data includes compaction values ​​corresponding to several compaction passes of the target measurement point, the maximum compaction value is used as the on-site calibration density, and the compaction pass number corresponding to the maximum compaction value is used as the reference compaction pass number;

[0098] The detection module 330 is used to use a non-nuclear density meter to perform compaction condition detection on other measuring points of the road surface after each layer of asphalt is paved when the number of compaction passes reaches the reference number of compaction passes.

[0099] Before the paving operation begins, the determination module 310 selects a target measurement point within a 25m length range from the starting point. After the paver starts paving, the target measurement point is tested for compaction using a non-nuclear density meter to obtain an initial compaction value Y1. After the roller rolls the target measurement point for the first time, the second compaction value Y2 is obtained. After the roller compacts the target measurement point for the third, fourth, fifth, and Xth times, compaction values ​​Y3, Y4, Y5, and Yx are obtained. To ensure that the selection of the target measurement point is representative and accurate, and can represent the compaction of the entire asphalt layer, try to avoid construction transverse joints, construction longitudinal joints, near curbstones, bridge joints, etc., so as not to affect the reliability and accuracy of the target measurement point.

[0100] The continuously measured asphalt pavement compaction value Y and the compaction number X are plotted into a curve, and the acquisition module 320 obtains the peak value or highest point Y of the compaction curve. t The corresponding number of compaction passes X t That is, the best number of compaction passes on site. Then, the acquisition module 320 determines the number of compaction passes of the asphalt pavement constructed on that day as X. t The number of compaction passes is the benchmark. Use a non-nuclear density meter to perform compaction testing on each layer of asphalt after paving to ensure that the layer meets the compaction requirements. The test frequency can be set at a shorter distance of every 100 meters or 200 meters to evaluate the compaction quality of the section. The number of test points for the asphalt layer is usually at least 3 test points per lane per layer, located at the left, middle and right positions of each lane, and the focus can be on testing unfavorable positions such as transverse joints, longitudinal joints and edges.

[0101] This embodiment uses a non-nuclear density meter to provide a fast, safe and non-destructive method, which can evaluate the compaction level of asphalt pavement in real time to ensure the construction quality of asphalt pavement; it can quickly detect the compaction and improve the detection efficiency; it does not need to damage the pavement by drilling core samples from the pavement, and the equipment is safe and reliable without radioactive risks.

[0102] like Figure 5 As shown, the detection module 330 includes:

[0103] An acquisition unit 331 is used to acquire the density of the measuring point detected by the non-nuclear density meter when other measuring points are compacted to the reference compaction number;

[0104] A calculation unit 332, used to calculate the compaction degree of the measuring point based on the density of the measuring point and the field calibration density;

[0105] The detection unit 333 is used to detect the compaction condition of the non-test section of the road surface according to the compaction degree of the measuring point and the compaction degree threshold range.

[0106] In this embodiment, the density of the measuring point is the density detected after the roller rolls the reference compaction number of times. The calculation unit 332 calculates the ratio of the density of the measuring point to the field calibration density to obtain the compaction degree of the measuring point. The detection unit 333 compares the compaction degree of the measuring point with the preset compaction degree threshold range, and determines whether the compaction condition of the non-test section of the road surface is under-pressure, over-pressure or normal according to the comparison result. This method significantly improves the effectiveness of compaction data collection, the accuracy of the compaction degree calculation of the measuring point, and the reliability of the compaction condition detection results.

[0107] The detection unit 333 is specifically used for:

[0108] If the compaction data of the measuring point does not fall within the compaction threshold range, it is determined that the non-test section of the road surface does not meet the compaction working condition requirements, and the compaction operation is updated according to the preset adjustment rules; the preset adjustment rules include adjusting the number of compaction passes, adjusting the compaction speed, adjusting the vibration frequency of the roller, and adjusting the asphalt mixture temperature. At least one of the following.

[0109] In this embodiment, if the detection unit 333 uses a non-nuclear density meter to detect in real time that the compaction degree of the road surface is insufficient, that is, the under-pressure state, the under-pressure adjustment method may include but is not limited to: first, increase the compaction number of the roller to improve the compaction degree; second, reduce the driving speed of the roller to adjust the compaction speed, for example, from 3km / h to 2km / h, to improve the compaction effect; third, increase the vibration frequency to improve the compaction degree; fourth, adjust the asphalt mixture temperature to ensure that the temperature of the mixture is within the specified range. If the detection unit 333 uses a non-nuclear density meter to detect in real time that the compaction degree of the road surface is too high, that is, the over-pressure state, the over-pressure adjustment method may include but is not limited to: first, reduce the compaction number of the roller; second, reduce the compaction pressure of the roller, for example, from 20 tons to 15 tons; third, reduce the vibration frequency to improve the compaction degree; fourth, increase the driving speed of the roller to adjust the compaction speed, for example, from 2km / h to 3km / h. This method improves the effectiveness of asphalt pavement compaction detection by updating the compaction operation according to preset adjustment rules to meet the compaction working condition requirements of the asphalt pavement.

[0110] like Figure 5 As shown, the system includes:

[0111] The second acquisition module 300 is used to obtain the gross volume relative density data and the core sample gross volume relative density data of the asphalt pavement after the pavement test section paving operation; the gross volume relative density data is used to characterize the relative density data measured by the non-nuclear density meter before core drilling, and the core sample gross volume relative density data is used to characterize the relative density data calculated indoors after core drilling;

[0112] The calculation module 301 is used to calculate the density deviation compensation value based on the gross volume relative density data and the core sample gross volume relative density data, and perform density compensation correction on the non-nuclear density meter according to the density deviation compensation value.

[0113] The density deviation compensation value is obtained by the following formula:

[0114]

[0115] Among them, γ ei represents the relative density value of the gross volume at the i-th measurement point, γ si It represents the relative density value of the core sample gross volume at the i-th measuring point, n is the number of measuring points, Represents the density deviation compensation value of n measurement points.

[0116] Before the formal paving of the asphalt pavement, it is necessary to carry out the paving of the test section of the asphalt pavement. After the test section is completed on the same day, the paving layer needs to be cored and sampled. The second acquisition module 300 uses a non-nuclear density meter to measure the gross volume relative density before core drilling, and then calculates the gross volume relative density of the core sample indoors. The measured gross volume relative density of the core sample and the gross volume relative density measured by the non-nuclear density meter are compared for deviation, and the calculation module 301 uses the mean deviation of the two as the density deviation compensation value of the non-nuclear density meter.

[0117] In this embodiment, a system for detecting the compaction of asphalt pavement is provided, which obtains a large amount of continuous compaction data through a non-nuclear density meter, avoids the problems of pavement structure damage, small data volume and poor representativeness caused by core sampling, and re-detects the compaction conditions of other measuring points based on the benchmark compaction passes and on-site calibration density in combination with the non-nuclear density meter, accurately evaluates the compaction quality of the asphalt pavement, and improves the accuracy and speed of the detection results.

[0118] Example 3

[0119] Figure 6 The hardware structure diagram of an electronic device provided in this embodiment. The water heater includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the method for asphalt pavement compaction detection of embodiment 1 is implemented. Figure 6 The electronic device 60 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0120] The electronic device 60 may be in the form of a general-purpose computing device, for example, it may be a server device. The components of the electronic device 60 may include but are not limited to: at least one processor 61, at least one memory 62, and a bus 63 connecting different system components (including the memory 62 and the processor 61).

[0121] The bus 63 includes a data bus, an address bus, and a control bus.

[0122] The memory 62 may include a volatile memory, such as a random access memory (RAM) 621 and / or a cache memory 622 , and may further include a read-only memory (ROM) 623 .

[0123] The memory 62 may also include a program / utility 625 having a set (at least one) of program modules 624, such program modules 624 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0124] The processor 61 executes various functional applications and data processing by running the computer programs stored in the memory 62, such as the method for detecting compaction of an asphalt pavement according to the first embodiment of the present invention.

[0125] The electronic device 60 may also be connected to one or more external devices 64 (e.g., a keyboard, a pointing device, etc.). ) communication. Such communication may be performed via an input / output (I / O) interface 65. Furthermore, the model-generated electronic device 60 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 66. As shown, the network adapter 66 communicates with other modules of the model-generated electronic device 60 via a bus 63. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the model-generated electronic device 60, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.

[0126] It should be noted that although several units / modules or sub-units / modules of the water heater are mentioned in the above detailed description, such division is merely exemplary and not mandatory. In fact, according to an embodiment of the present invention, the features and functions of two or more units / modules described above may be embodied in one unit / module. Conversely, the features and functions of one unit / module described above may be further divided to be embodied by multiple units / modules.

[0127] Example 4

[0128] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the steps of the method for detecting compaction of an asphalt pavement in Embodiment 1 are implemented.

[0129] The readable storage medium may include but is not limited to: a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device or any suitable combination of the above.

[0130] In a possible implementation manner, the present invention can also be implemented in the form of a program product, which includes a program code. When the program product is run on a terminal device, the program code is used to enable the terminal device to execute the steps of the method for asphalt pavement compaction detection of Example 1.

[0131] The program code for executing the present invention may be written in any combination of one or more programming languages, and may be executed entirely on a user device, partially on a user device, as an independent software package, partially on a user device and partially on a remote device, or entirely on a remote device.

[0132] Example 5

[0133] This embodiment also provides a computer program product, including a computer program, which implements any of the above-mentioned methods for detecting compaction of an asphalt pavement when executed by a processor.

[0134] Among them, the program code for executing the computer program product of the present disclosure can be written in any combination of one or more programming languages, and the program code can be executed completely on the user device, partially on the user device, as an independent software package, partially on the user device and partially on a remote device, or completely on the remote device.

[0135] Although the specific embodiments of the present invention are described above, it should be understood by those skilled in the art that this is only for illustration and the protection scope of the present invention is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present invention, but these changes and modifications all fall within the protection scope of the present invention.

Claims

1. A method for detecting compaction of an asphalt pavement, characterized in that: The method comprises: Determine the target measurement point within the specified location range of the non-test section of the asphalt pavement; After the paving operation of the non-test section of the road surface, the compaction test is performed on the target measuring point using a non-nuclear density meter to obtain compaction data; the compaction data includes compaction values ​​corresponding to several compaction passes of the target measuring point, the largest compaction value is used as the on-site calibration density, and the compaction passes corresponding to the largest compaction value is used as the reference compaction pass; When the number of compaction passes reaches the reference number of compaction passes, compaction condition detection is performed on other measuring points of the road surface after each layer of asphalt is paved based on the on-site calibration density and the non-nuclear density meter.

2. The method for detecting compaction of an asphalt pavement according to claim 1, characterized in that: When the number of compaction passes reaches the reference number of compaction passes, the step of performing compaction condition detection on other measuring points of the road surface after each layer of asphalt is paved based on the on-site calibration density and the non-nuclear density meter comprises: When the other measuring points are compacted to the reference compaction number, obtaining the density of the measuring points detected by the non-nuclear density meter; Calculating the degree of compaction at the measuring point based on the density at the measuring point and the field calibration density; The compaction condition detection is performed on the non-test section of the road surface according to the compaction degree of the measuring point and the compaction degree threshold range.

3. The method for detecting compaction of an asphalt pavement according to claim 2, characterized in that: The step of performing compaction condition detection on the non-test section of the road surface according to the compaction degree of the measuring point and the compaction degree threshold range includes: If the compaction data of the measuring point does not fall within the compaction threshold range, it is determined that the non-test section of the road surface does not meet the compaction working condition requirements, and the compaction operation is updated according to the preset adjustment rules; the preset adjustment rules include adjusting the number of compaction passes, adjusting the compaction speed, adjusting the vibration frequency of the roller, and adjusting the asphalt mixture temperature.

4. The method for detecting compaction of an asphalt pavement according to claim 1, characterized in that: Before the step of determining the target measurement point within the specified position range of the non-test section of the asphalt pavement, the method includes: After the pavement test section is paved, the gross volume relative density data of the asphalt pavement and the gross volume relative density data of the core sample are obtained; the gross volume relative density data is used to characterize the relative density data measured by a non-nuclear density meter before core drilling, and the core sample gross volume relative density data is used to characterize the relative density data calculated indoors after core drilling; A density deviation compensation value is calculated based on the gross volume relative density data and the core sample gross volume relative density data, and a density compensation correction is performed on the non-nuclear density meter according to the density deviation compensation value.

5. The method for detecting compaction of an asphalt pavement according to claim 4, characterized in that: The density deviation compensation value is obtained by the following formula: Among them, γ ei represents the relative density value of the gross volume at the i-th measurement point, γ si It represents the relative density value of the core sample gross volume at the i-th measurement point, n is the number of measurement points, Represents the density deviation compensation value of n measurement points.

6. The method for detecting compaction of an asphalt pavement according to claim 1, characterized in that: The target measurement points include measurement points located at non-construction transverse joints, non-construction longitudinal joints, non-near curbs and non-bridge joints within the specified position range.

7. A system for detecting compaction of asphalt pavement, characterized in that: The system comprises: A determination module, used for determining a target measurement point within a specified position range of a non-test section of an asphalt pavement; The first acquisition module is used for performing a compaction test on the target measurement point using a non-nuclear density meter to obtain compaction data after the paving operation of the non-test section of the road surface; the compaction data includes compaction values ​​corresponding to a number of compaction passes of the target measurement point, the largest compaction value is used as the on-site calibration density, and the compaction pass number corresponding to the largest compaction value is used as the reference compaction pass number; The detection module is used to use the non-nuclear density meter to perform compaction condition detection on other measuring points of the road surface after each layer of asphalt is paved when the compaction number reaches the reference compaction number.

8. An electronic device, characterized in that: The method comprises a processor, a memory and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the method for detecting compaction of an asphalt pavement as claimed in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for detecting compaction of an asphalt pavement as described in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for detecting compaction of an asphalt pavement as described in any one of claims 1 to 6 is implemented.

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