Ultrasonic paving thickness detection method and system

Abstract

The invention relates to the technical field of paving thickness measurement, in particular to an ultrasonic paving thickness detection method and system, and the method comprises the steps: employing an Akaike information criterion for an echo measurement sequence obtained through collection of a paving road, and obtaining an AIC value of all elements of the echo measurement sequence based on the numerical distribution of AIC values of all elements of the echo measurement sequence; an echo positioning sequence and an echo AIC statistical sequence are obtained; element distribution and change characteristics in the echo positioning sequence are analyzed, and the change trend of each element in the echo AIC statistical sequence is obtained to obtain a signal mutation trend degree; obtaining an echo development trend degree based on a straight line fitting result of each element in the echo AIC statistical sequence; and confirming a primary echo moment, and calculating the paving thickness by combining the propagation speed of the ultrasonic waves in the paving mixture. The invention aims to improve the accuracy of paving thickness measurement.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of paving thickness measurement, in particular to an ultrasonic paving thickness detection method and system. BACKGROUND

[0002] Paving refers to the process of uniformly laying materials such as asphalt mixture and cement concrete on the roadbed or lower pavement structure to form a flat and dense pavement surface. The uniformity of paving thickness will directly affect the flatness, load-bearing capacity and service life of the road. Ultrasonic detection is a non-destructive testing technology that does not cause any damage to the paving layer, can accurately measure the paving thickness in real time, and timely detect uneven thickness and other problems. Therefore, ultrasonic technology is widely used in thickness measurement. Secondly, the ultrasonic detection equipment is easy to operate and can be quickly moved on the construction site to realize continuous measurement, greatly improving the detection efficiency.

[0003] When measuring the paving thickness, the time interval of the echo signals of the upper and lower layers of the paving road is used to calculate the paving thickness. In the identification of the time node, the traditional technology identifies the position of the first echo by threshold. However, paving is a mixture of asphalt mixture and cement concrete materials, which makes the ultrasonic detection susceptible to noise interference. The traditional method does not fully consider the influence of noise on ultrasonic data, resulting in errors in the identification of the first echo, thereby reducing the measurement accuracy of the paving thickness. SUMMARY

[0004] In view of the above, it is necessary to provide an ultrasonic paving thickness detection method and system to solve the above problems.

[0005] The first aspect of the present application provides an ultrasonic paving thickness detection method, which comprises: obtaining all echo signals collected by the measurement point on the paving road to form an echo measurement sequence; using the Akaike information criterion on the echo measurement sequence to obtain the AIC value of each element of the echo measurement sequence; based on the numerical distribution of the AIC values of all elements of the echo measurement sequence, the echo measurement sequence is intercepted to obtain an echo positioning sequence, and the AIC value of each element in the echo positioning sequence is combined to obtain an echo AIC statistical sequence; analyzing the distribution and change characteristics of each element in the local range of the echo positioning sequence to confirm the echo change intensity of each element; analyzing the change trend of each element in the echo AIC statistical sequence, combining the echo change intensity of the same position element in the echo positioning sequence, and obtaining the signal mutation trend degree of each element in the echo AIC statistical sequence; linear fitting is performed on each element of the echo AIC statistical sequence and all elements before the element, and based on a difference between a linear fitting result and the corresponding element, the echo development trend degree of each element of the echo AIC statistical sequence is obtained in combination with the signal mutation trend degree; Based on the numerical distribution of all the obtained echo development trend degrees, the first echo moment is confirmed, and the paving thickness is calculated in combination with a propagation speed of the ultrasonic wave in the paving mixture.

[0006] The formula model used by the Akaike information criterion is as follows: ; wherein, AICx represents an AIC value of an xth element of the echo measurement sequence; lg() represents a logarithm with 10 as a base; N represents a length of the echo measurement sequence; , Sx represents a variance of the first element to the xth element in the echo measurement sequence, and Sx+1 represents a variance of the x+1th element to the last element in the echo measurement sequence; x represents an element serial number value of the echo measurement sequence.

[0007] The echo positioning sequence is specifically a sequence composed of all elements after a position corresponding to a minimum value of the AIC in the echo measurement sequence.

[0008] The echo change intensity of each element is specifically as follows: Based on a first-order difference sequence of the echo positioning sequence, a first-order change sequence of the echo positioning sequence is obtained; A preset window is centered on each element of the echo positioning sequence; an absolute value mean of elements of the first-order change sequence in the window corresponding to each element of the echo positioning sequence is positively fused with a variance of all elements in the window corresponding to each element of the echo positioning sequence, to obtain the echo change intensity of each element of the echo positioning sequence.

[0009] The signal mutation trend degree of each element of the echo AIC statistical sequence is specifically as follows: Based on a first-order difference sequence of the echo AIC statistical sequence, a first-order change sequence of the echo AIC statistical sequence is obtained; A result of positively fusing the echo change intensity of each element of the echo positioning sequence with an element at the same position in the first-order change sequence of the echo AIC statistical sequence is taken as the signal mutation trend degree of each element of the echo AIC statistical sequence.

[0010] The echo development trend degree of each element of the echo AIC statistical sequence is specifically as follows: Linear fitting is performed on each element of the echo AIC statistical sequence and all elements before the element, to obtain a fitting straight line of each element, and a regular development degree of each element is confirmed by comparing a value of each element with a value on the fitting straight line corresponding to the element. For the echo AIC statistical sequence, the product of the signal mutation trend degree of each element thereof and the element at the same position in the first-order change sequence thereof is calculated, and the negative correlation mapping result of the regular development degree of each element is combined to obtain the echo development trend degree of each element in the echo AIC statistical sequence.

[0011] The regular development degree is specifically the absolute value of the difference between each element and the value on the fitting straight line corresponding to the element.

[0012] The first echo moment is specifically the moment corresponding to the element with the maximum echo development trend degree in the echo AIC statistical sequence.

[0013] The paving thickness is specifically one half of the product of the propagation speed of the ultrasonic wave in the paving mixture and the time length corresponding to the first echo moment.

[0014] In a second aspect, the embodiments of the present application also provide a detection system for the paving thickness of ultrasonic waves, which comprises a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor implements the steps of the method according to any one of the preceding aspects when executing the computer program.

[0015] The present application has at least the following beneficial effects: 1. The present application accurately locates the position of the first echo by comprehensively analyzing the local fluctuation of the echo signal, the AIC change amplitude, and the trend change, effectively solving the measurement error problem caused by the non-uniformity of the paving material in the traditional method. Compared with the traditional threshold recognition method, the measurement accuracy is greatly improved, and the actual value of the paving thickness can be more accurately reflected, providing a reliable basis for road construction quality control.

[0016] 2. In the paving thickness measurement process, the present application fully considers the influence of environmental noise and material non-uniformity on the ultrasonic wave signal. By processing the echo signal through the AIC algorithm, combined with difference and straight line fitting technology, the echo signal of the paved road is effectively separated, and noise interference is excluded, so that the measurement result is more stable and reliable. Even in a complex construction environment, the paving thickness can be accurately measured.

[0017] 3. The present application uses ultrasonic non-destructive testing technology, which does not need to damage the paving layer, can quickly move and continuously measure on the construction site, greatly shortens the detection time. At the same time, through the automatic signal processing and analysis process, manual intervention is reduced, further improving the detection efficiency, which can timely find problems such as uneven paving thickness, and provides strong support for construction progress control and quality assurance. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1A step flow chart of an ultrasonic paving thickness detection method provided by an embodiment of the present application is shown in FIG. 1. Figure 2 A flow chart of acquiring echo development trend is provided by an embodiment of the present application. DETAILED DESCRIPTION

[0019] In the description of the embodiments of the present application, the words "exemplary", "or", "for example" are used to mean as an example, instance, or illustration. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or advantageous than other embodiments or design solutions. In fact, the use of the words "exemplary", "or", "for example" is intended to present related concepts in a specific way.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs. The terminology used in the description of the present application is only for the purpose of describing specific embodiments and is not intended to limit the present application.

[0021] In addition, it should be pointed out that the terms "first", "second" in the present application and the drawings are used to distinguish similar objects, and are not used to describe a specific order or sequence. The method disclosed in the embodiments of the present application or the method shown in the flow chart includes one or more steps for implementing the method, and the execution order of the steps can be interchanged with each other without departing from the scope of the present application, and some steps can also be deleted.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs.

[0023] The specific scheme of the ultrasonic paving thickness detection method and system provided by the present application will be specifically described below in combination with the drawings.

[0024] Please refer to Figure 1 , which shows a step flow chart of an ultrasonic paving thickness detection method provided by an embodiment of the present application. The method comprises the following steps: The first step: acquiring all echo signals collected by each measurement point on the paving road to form an echo measurement sequence.

[0025] An arbitrary measurement point is selected on the paving road, coupling agent is applied on the measurement point, in this embodiment, the coupling agent is water-based ethylene glycol gel, and a person skilled in the art can select a suitable coupling agent according to the specific environment; the ultrasonic transmitter of the ultrasonic measuring instrument is closely attached to the measurement point to exclude the interference of air, then the ultrasonic transmitter of the ultrasonic measuring instrument emits ultrasonic waves to the measurement point of the paving road, and the echo receiver carried by the ultrasonic measuring instrument receives the echo signal reflected by the paving road.

[0026] In this embodiment, the frequency value of the signal emitted by the ultrasonic measuring instrument is 150 kHz, the emission time length is 1 ms, and the sampling frequency value of the echo signal is 600 kHz. The collected echo signals are arranged in the order of collection time to obtain an echo signal sequence. In order to avoid data loss caused by the environment and the instrument, the missing data in the echo signal sequence is completed by using the mean interpolation method, and the completed echo signal sequence is called an echo measurement sequence. The calculation of the mean interpolation method is a known technology, and the specific calculation steps are not described here.

[0027] The second step is to use the Akaike information criterion to obtain the AIC value of each element of the echo measurement sequence; based on the numerical distribution of the AIC values of all elements of the echo measurement sequence, the echo measurement sequence is intercepted to obtain an echo positioning sequence, and the AIC statistical sequence of the echo is obtained in combination with the AIC value of each element in the echo positioning sequence; the distribution and change characteristics of each element in the local range of the echo positioning sequence are analyzed to confirm the echo change intensity of each element.

[0028] When the receiver of the ultrasonic measuring instrument receives the echo signal, the items in the environment will reflect and scatter the ultrasonic signal, so that the ultrasonic signal receiver will receive some noise reflection signals, and at the same time, the intensity of these reflection signals is small, and the amplitude of the change is small, so that this part of data is in a steady state; for the echo signal reflected by the paving road, the amplitude value of the echo signal will change with the distance, the overall amplitude of the signal will increase, and the oscillation will be enhanced, but because the mixed material of the pavement is a non-uniform substance, the pavement echo signal is confused with the reflection signal in the environment, so that the time of the first echo signal of the paving road is difficult to identify.

[0029] Therefore, the echo measurement sequence is taken as the input of the Akaike information criterion (Akaike Information Criterion, AIC), and the output is the AIC sequence of the echo measurement sequence. In this embodiment, the formula model used by AIC is: . Wherein, AICx represents the AIC value of the xth element of the echo measurement sequence, lg() represents the logarithm with 10 as the base, N represents the length of the echo measurement sequence, , respectively represent the variance of the first element to the xth element in the echo measurement sequence, the variance of the x+1th element to the last element, and x represents the element serial number value of the echo measurement sequence. According to the algorithm principle of AIC, in the case of no interference, the minimum value of the element AIC in the echo measurement sequence corresponds to the first echo time, but due to the existence of noise, the time corresponding to the actual minimum value of AIC is not the first echo time, but the first echo position is after the minimum value of AIC. Therefore, the data after the minimum value of AIC in the echo measurement sequence is intercepted to obtain an echo positioning sequence, and the AIC signal data after the minimum value of AIC is intercepted to obtain an echo AIC statistical sequence.

[0030] For the received echo signal of the paved road, the change amplitude of the echo signal in unit time is large, therefore, the echo positioning sequence is taken as the input of the first-order difference algorithm, the output is taken as the linear interpolation input, the last element is completed, and the completed data is taken as the first-order change sequence of the echo positioning sequence. Since the echo signal changes have oscillation, the change amplitude has positive and negative, for the convenience of operation, the absolute value of each element in the first-order change sequence of the echo positioning sequence is obtained, and the sequence composed of the absolute values of all elements in the first-order change sequence is taken as the change absolute value sequence of the echo positioning sequence, which is used to represent the amplitude change rate of the echo signal. The calculation of the first-order difference algorithm and the linear interpolation method is a known technology, and the specific calculation steps are not described here.

[0031] Therefore, a window with a length of n is obtained with each element in the echo positioning sequence as the center, the elements in the window are taken as the local amplitude sequence of each element in the echo positioning sequence; a window with a length of n is obtained with each element in the change absolute value sequence as the center, the elements in the window are taken as the local change sequence of each element in the echo positioning sequence. In this embodiment, the value of n is 7, and the implementer can adjust the value of n according to the actual situation. It should be noted that for the part with insufficient elements in the window, the mean filling method is used to complete the insufficient part. The change amplitude of the echo signal of the paved road is stronger than that of the noise echo signal, therefore, the local change intensity of the echo signal is different in the two cases. Therefore, the echo change intensity of each element in the echo positioning sequence is calculated, specifically: the mean value of the elements in the local change sequence of each element in the echo positioning sequence is positively fused with the variance of the local amplitude sequence of each element in the echo positioning sequence to obtain the echo change intensity of each element in the echo positioning sequence. In this embodiment, the multiplication calculation method is used for positively fusing multiple variables.

[0032] It should be understood that, since the ultrasonic echo signal after the pavement paving has a large change range in the local area, the mean of all elements in the local change sequence of the corresponding ultrasonic echo signal is large, and the local fluctuation of the ultrasonic echo signal is large, and the variance value of the local amplitude sequence of the corresponding ultrasonic echo signal is large, thereby making the echo change intensity of the ultrasonic echo signal large, indicating that the ultrasonic echo signal is more likely to be the echo signal of the paved road, and the echo change intensity can more accurately locate the position of the first echo, and improve the accuracy of the paving thickness measurement.

[0033] The third step is to analyze the change trend of each element in the echo AIC statistical sequence, and combine the echo change intensity of the elements at the same position in the echo positioning sequence to obtain the signal mutation trend degree of each element in the echo AIC statistical sequence.

[0034] Since the AIC local change amplitude of the paving road echo signal is larger than that of the noise signal, the echo AIC statistical sequence is taken as the input of the first-order difference algorithm, and the output is taken as the input of the linear interpolation, the last element is completed, and the completed data is taken as the first-order change sequence of the echo AIC statistical sequence, which is used to highlight the local features at the position of the first echo of the signal, thereby calculating the signal mutation trend degree of each element in the echo AIC statistical sequence. Specifically, the result of forward fusion of the echo change intensity of each element in the echo positioning sequence and the elements at the same position in the first-order change sequence of the echo AIC statistical sequence is taken as the signal mutation trend degree of each element in the echo AIC statistical sequence. In this embodiment, the multiplication calculation method is used for forward fusion between variables.

[0035] It should be understood that, since the paving road causes a large echo change intensity, the echo change intensity is large, and the AIC signal value of the paving road is also large, so that the signal mutation trend degree of the elements in the echo AIC signal is large. The larger the signal mutation trend degree of the elements in the echo AIC signal, the more likely the corresponding echo signal is the paving road echo data, and the more likely the point is the position of the first echo signal of the paved road. By accurately obtaining the first echo data, the accuracy of the road paving thickness measurement can be improved.

[0036] The fourth step is to perform linear fitting on each element and all previous elements in the echo AIC statistical sequence, and based on the difference between the linear fitting result and the corresponding element, the signal mutation trend degree is combined to obtain the echo development trend degree of each element in the echo AIC statistical sequence.

[0037] The signal mutation trend degree of the echo AIC statistical sequence element is used to reflect the local maximum convex inflection point feature at the echo position. However, the signal mutation trend degree is calculated by using the first-order change sequence of the echo AIC statistical sequence, so that the calculation result will have difference interference, which causes the deviation of the calculation result. Therefore, the difference interference needs to be excluded. Before the position of the first echo of the road paving, it is the echo data formed by the reflected ultrasonic wave of the paving road. For the echo data of the paving road, the change of the AIC data is a regular change. Therefore, each element in the echo AIC statistical sequence and all previous elements are taken as the input of the linear least square method, and the output is the fitting straight line of each element, and the numerical difference between each element and the value on the fitting straight line is calculated, which is recorded as the regular development degree of each element, which is used to represent the change state of the AIC signal data. Note that the fitting straight line of the first element and the second element is the same. The calculation of the linear least square method is a known technology, and the specific calculation steps are not described here. The numerical difference is obtained by using the calculation method of the absolute value of the difference.

[0038] The echo development trend degree of each element in the echo AIC statistical sequence is calculated. Specifically, for the echo AIC statistical sequence, the product of the signal mutation trend degree of each element and the element at the same position in the first-order change sequence is calculated, and the negative correlation mapping result of the regular development degree of each element is positively fused to obtain the echo development trend degree of each element in the echo AIC statistical sequence. In this embodiment, the product of the kth element is recorded as , and the regular development degree of the kth element is recorded as . The formula of the echo development trend degree of the kth element is: ; in the formula, , which represents a preset parameter for preventing the denominator from being 0, and the value is 0.1 in this embodiment.

[0039] The flowchart of obtaining the echo development trend degree is shown in Figure 2 .

[0040] It should be understood that when the signal mutation trend degree of an element is high, it indicates that there may be significant signal change characteristics at the position corresponding to the element, so a higher weight should be given to it. At the same time, if the regular development degree of the element is strong, that is, the deviation of the previous element from the linear fitting straight line is small, which indicates that the signal change regularity of the element is high and the abnormal information is less. At the same time, when the position does not exceed the position of the first echo, the fluctuation intensity between the data is large, and the AIC signal value is large. At this time, the echo development trend degree of the position is larger. Therefore, the echo development trend degree can accurately reflect the actual change characteristics of the ultrasonic signal of the road paving, so as to realize high-precision identification of the echo signal characteristics.

[0041] Fifth step: based on the obtained numerical distribution of all echo trend degrees, confirming the primary echo time, combining the ultrasonic wave propagation speed in the paving mixture, calculating the paving thickness.

[0042] Arranging all echo trend degrees according to the order of their corresponding elements in the echo AIC statistical sequence, obtaining the echo trend sequence. Since the ultrasonic echo signal of the pavement paving is different from the difference of the reflection signal in the environment, the ultrasonic echo signal has a certain trend change, therefore, obtaining the maximum value in the echo trend sequence; taking the maximum value corresponding element time in the echo AIC statistical sequence as the primary echo time, recorded as t, then the road paving thickness is , wherein B represents the road paving thickness, since the ultrasonic wave transmission is a reciprocating action, the primary echo time is the time of transmitting twice the paving thickness, therefore, it needs to be divided by 2, V represents the ultrasonic wave propagation speed in the paving mixture, the measurement method is a known technology, the specific calculation steps are not described here, in this embodiment, the value is 4348 m / s.

[0043] Thus, a kind of ultrasonic wave paving thickness detection method is realized.

[0044] Based on the same inventive concept as the above method, the embodiments of the present application also provide an ultrasonic wave paving thickness detection system, comprising a memory, a processor and a computer program stored in the memory and running on the processor, the processor executes the computer program to realize the steps of any one of the above methods.

[0045] The computer program product of the present application can be a computer program implemented on one or more various apparatuses, e.g., general purpose computers or dedicated computers. The program sectors of the present application can be stored on a computer readable medium, such as a hard disk, a CD ROM, a RAM, etc. The computer program product of the present application can also be provided as a computer data signal embodied in a carrier wave, a bit stream, or other transmission medium, transporting or storing the program sectors including the embodiments of the present application. Accordingly, the present application should not be limited to any particular form of computer programs.

[0046] It is apparent that the present application is not limited to the details of the foregoing exemplary embodiments, and thus modifications and / or improvements can be made thereto without departing from the scope of the present application. Accordingly, no matter in which way the present application is viewed, the foregoing embodiments of the present application should be regarded only as exemplary, and should not be considered as limiting the present application in any way. Therefore, modifications of the technical solutions described in the foregoing embodiments, or equivalent replacements of some of the technical features, should be included in the scope of the present application.

Claims

1. A method for detecting ultrasonic paving thickness, characterized in that: The method comprises the following steps: Acquire all echo signals collected from measuring points on the paved road to form an echo measurement sequence; The Akaike Information Criterion is applied to the echo measurement sequence to obtain the AIC value of each element in the echo measurement sequence. Based on the numerical distribution of the AIC values ​​of all elements in the echo measurement sequence, the echo measurement sequence is intercepted to obtain the echo location sequence. The AIC value of each element in the echo location sequence is combined to obtain the echo AIC statistical sequence. The distribution and variation characteristics of each element in the echo location sequence within a local range are analyzed to determine the echo variation intensity of each element. Analyze the change trend of each element in the echo AIC statistical sequence, and combine the echo change intensity of the elements at the same position in the echo location sequence to obtain the signal mutation trend degree of each element in the echo AIC statistical sequence; Performing a straight line fitting on each element in the echo AIC statistical sequence and all previous elements thereof, and obtaining the echo development trend degree of each element in the echo AIC statistical sequence based on the difference between the straight line fitting result and the corresponding element and the signal mutation trend degree; Based on the numerical distribution of all echo development trends, the moment of an echo is confirmed, and the paving thickness is calculated in combination with the propagation speed of ultrasound in the paving mixture.

2. The ultrasonic paving thickness detection method according to claim 1, characterized in that: The formula model adopted by the Akaike Information Criterion is: ;in, represents the AIC value of the xth element of the echo measurement sequence; lg() represents the logarithm with base 10; N represents the length of the echo measurement sequence; 、 They represent the variance from the first element to the xth element and the variance from the x+1th element to the last element in the echo measurement sequence respectively; x represents the element number value of the echo measurement sequence.

3. The ultrasonic paving thickness detection method according to claim 1, characterized in that: The echo location sequence is specifically a sequence composed of all elements following the position corresponding to the minimum AIC value in the echo measurement sequence.

4. The ultrasonic paving thickness detection method according to claim 1, characterized in that: The confirmation of the echo change intensity of each element is specifically as follows: Based on the first-order difference sequence of the echolocation sequence, a first-order change sequence of the echolocation sequence is obtained; A window is preset with each element of the echolocation sequence as the center; the mean of the absolute values ​​of the elements of the first-order variation sequence within the window corresponding to each element in the echolocation sequence is forward fused with the variance of all elements within the window corresponding to each element in the echolocation sequence to obtain the echo variation intensity of each element in the echolocation sequence.

5. The ultrasonic paving thickness detection method according to claim 1, characterized in that: The signal mutation trend degree of each element in the echo AIC statistical sequence is obtained as follows: Based on the first-order difference sequence of the echo AIC statistical sequence, a first-order change sequence of the echo AIC statistical sequence is obtained; The result of forward fusion of the echo change intensity of each element in the echo location sequence and the element at the same position in the first-order change sequence of the echo AIC statistical sequence is used as the signal mutation trend degree of each element in the echo AIC statistical sequence.

6. The ultrasonic paving thickness detection method according to claim 1, characterized in that: The echo development trend degree of each element of the echo AIC statistical sequence is obtained as follows: Perform linear fitting on each element and all previous elements in the echo AIC statistical sequence to obtain the fitted straight line for each element. Compare the value of each element with the corresponding fitted straight line to confirm the regular development degree of each element. For the echo AIC statistical sequence, the product of the signal mutation trend degree of each element and the element at the same position in its first-order change sequence is calculated. Combined with the negative correlation mapping result of the regular development degree of each element, the echo development trend degree of each element in the echo AIC statistical sequence is obtained.

7. The ultrasonic paving thickness detection method according to claim 6, characterized in that: The regularity development degree is specifically the absolute value of the difference between each element and the value on the corresponding fitting line.

8. The ultrasonic paving thickness detection method according to claim 1, characterized in that: The primary echo moment is specifically the moment corresponding to the element with the largest echo development trend in the echo AIC statistical sequence.

9. The ultrasonic paving thickness detection method according to claim 1, characterized in that: The paving thickness is specifically half of the product of the propagation speed of the ultrasonic wave in the paving mixture and the time length corresponding to the moment of the first echo.

10. An ultrasonic paving thickness detection system comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 9 are implemented.

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