A high-precision quality detection method, system and device for asphalt pavement

Abstract

The present invention relates to the technical field of ultrasonic signal analysis, and specifically relates to a high-precision detection method, system and device for the quality of asphalt pavement, including: setting a plurality of ultrasonic detectors to simultaneously collect ultrasonic signals of the pavement, and analyzing the performance of noise components in the ultrasonic signals at the same moment; obtaining the degree of environmental interference suffered by the ultrasonic signals; further analyzing according to the mutation of the ultrasonic signals within a local range to obtain the possibility that the detected position of the ultrasonic signals is at a defect, and adaptively denoising the ultrasonic signals in combination with the degree of environmental interference suffered by the ultrasonic signals to detect the quality of the asphalt pavement. The present invention analyzes the manifestation form of noise components in ultrasonic signals and the difference between defect information and noise in ultrasonic signals to accurately distinguish noise components from defect information, thereby denoising the ultrasonic signals, avoiding the loss of defect information while denoising, and finally improving the precision of detecting the quality of asphalt pavement.

Description

Technical Field

[0001] The present invention relates to the technical field of ultrasonic signal analysis, and particularly relates to a high-precision detection method, system and device for the quality of asphalt pavement. Background Art

[0002] When detecting the quality of asphalt pavement by using an ultrasonic detection device, the ultrasonic signal will be interfered by the external environment during the propagation process, resulting in noise information in the ultrasonic signal, reducing the quality of the ultrasonic signal and the accuracy of detecting the quality of asphalt pavement; to improve the accuracy of detecting the quality of asphalt pavement, it is necessary to remove the noise in the ultrasonic signal. Also, when detecting the quality of asphalt pavement by using an ultrasonic detection device, defects such as cavities and cracks in the asphalt pavement will cause local mutations in the ultrasonic signal, which are similar to noise in the signal. The traditional method of denoising by fixing a wavelet threshold may determine the defect information in the ultrasonic signal as noise, resulting in the loss of defect information and ultimately reducing the accuracy of detecting the quality of asphalt pavement. Summary of the Invention

[0003] The present invention provides a high-precision detection method, system and device for the quality of asphalt pavement to solve the existing problem: denoising the ultrasonic signal with a fixed wavelet threshold will cause the loss of defect information in the ultrasonic signal and reduce the accuracy of detecting the quality of asphalt pavement.

[0004] The high-precision detection method, system and device for the quality of asphalt pavement of the present invention adopt the following technical solutions:

[0005] An embodiment of the present invention provides a high-precision detection method for the quality of asphalt pavement, and the method includes the following steps:

[0006] Using a plurality of ultrasonic detection devices to collect multi-dimensional ultrasonic signals, where the multi-dimensional ultrasonic signals are ultrasonic signals collected by different ultrasonic detection devices;

[0007] Grouping the ultrasonic signals in different dimensions according to the acquisition time to obtain a number of ultrasonic signal groups and obtaining the local signal segments of each ultrasonic signal; decomposing the local signal segments of each ultrasonic signal to obtain a number of harmonic components of the local signal segments of each ultrasonic signal; obtaining the noise factor of the harmonic components according to the differences in the harmonic components of the local signal segments of different ultrasonic signals in the same ultrasonic signal group; obtaining the degree of environmental interference suffered by the ultrasonic signal corresponding to the harmonic components according to the noise factor of the harmonic components;

[0008] Obtain the mutation degree of the ultrasonic signal according to the frequency difference between adjacent signals in the local signal segment of the ultrasonic signal; according to the fluctuation of the signal in the instantaneous frequency in the local signal segment of the ultrasonic signal, and in combination with the mutation degree of the ultrasonic signal, obtain the possibility that the detected position of the ultrasonic signal is at the defect.

[0009] According to the possibility that the detected position of the ultrasonic signal is at the defect, adaptively denoise the ultrasonic signal to obtain the denoised ultrasonic signal; detect the quality of the asphalt pavement through the denoised ultrasonic signal.

[0010] Preferably, the specific method for using multiple ultrasonic detection devices to collect multi-dimensional ultrasonic signals includes:

[0011] Install groups of ultrasonic detection devices at the bottom of the detection vehicle, and the is the preset installation quantity of the ultrasonic detection devices. Let the detection vehicle travel at a constant speed on the asphalt pavement, and the is the preset travel speed of the detection vehicle. Set the sampling frequency of all ultrasonic detection devices to , and during the travel of the detection vehicle, collect the ultrasonic signals of the asphalt pavement through each ultrasonic detection device; the is the preset sampling frequency of the ultrasonic detection device.

[0012] Preferably, the specific method for grouping the ultrasonic signals in different dimensions according to the acquisition time, obtaining several ultrasonic signal groups and obtaining the local signal segment of each ultrasonic signal includes:

[0013] For the ultrasonic signals in all dimensions, group the ultrasonic signals with the same acquisition time in all dimensions into the same ultrasonic signal group; preset a local signal range , for the ultrasonic signal at any moment in the ultrasonic signal of any dimension, record all the ultrasonic signals within seconds from the ultrasonic signal in the dimension as the local signal segment of the ultrasonic signal.

[0014] Preferably, the specific calculation formula for obtaining the noise factor of the harmonic component is:[[]]

[0015]

[0016] In the formula, represents the noise factor of the th harmonic component of the local signal segment of the th ultrasonic signal in the ultrasonic signal group; represents the number of ultrasonic signals in the ultrasonic signal group; represents the th ultrasonic signal in the ultrasonic signal groupThe number of harmonic components of a local signal segment of an ultrasonic signal; Indicates the th local signal segment of the th harmonic component of the th ultrasonic signal in the ultrasonic signal group; th local signal segment of the th harmonic component of the th ultrasonic signal in the ultrasonic signal group; th local signal segment of the th harmonic component of the th ultrasonic signal in the ultrasonic signal group; th local signal segment of the th harmonic component of the th ultrasonic signal in the ultrasonic signal group; Indicates the function of traversing and taking the minimum value of the harmonic components of the local signal segment of the th ultrasonic signal in the ultrasonic signal group; Indicates the absolute value function;

[0017] Preferably, the specific method for obtaining the degree of environmental interference suffered by the ultrasonic signal corresponding to the harmonic component includes:

[0018] For any ultrasonic signal, obtain the noise factors of all harmonic components of the local signal segment of the ultrasonic signal, and take the mean value of the noise factors of all harmonic components of the local signal segment of the ultrasonic signal as the degree of environmental interference suffered by the ultrasonic signal.

[0019] Preferably, the specific method for obtaining the mutation degree of the ultrasonic signal includes:

[0020] For any ultrasonic signal, use the Hilbert transform to obtain the instantaneous frequency of all signals in the local signal segment of the ultrasonic signal, and obtain the mutation degree of the ultrasonic signal according to the frequency difference between adjacent ultrasonic signals in the local signal segment of the ultrasonic signal. The specific calculation formula is:

[0021]

[0022] In the formula, Indicates the th mutation degree of the ultrasonic signal; Indicates the th instantaneous frequency of the ultrasonic signal; Indicates the th instantaneous frequency of the ultrasonic signal; Indicates the th number of signals in the local signal segment of the ultrasonic signal; Represents the instantaneous frequency of the th signal in the local signal segment of the th ultrasonic signal; Represents the instantaneous frequency of the th signal in the local signal segment of the th ultrasonic signal;

[0023] Preferably, the method for obtaining the possibility that the detected position of the ultrasonic signal is located at a defect is specifically calculated as follows:

[0024]

[0025] In the formula, represents the possibility that the detected position of the ultrasonic signal is located at a defect; represents the mutation degree of the th ultrasonic signal; represents the number of signals in the local signal segment of the th ultrasonic signal; represents the instantaneous frequency of the th signal in the local signal segment of the th ultrasonic signal; represents the instantaneous frequency of the th signal in the local signal segment of the th ultrasonic signal; represents the instantaneous frequency of the

[0026] th signal in the local signal segment of the

[0027] Preset an initial wavelet threshold , for any ultrasonic signal, obtain the wavelet threshold of the ultrasonic signal according to the possibility that the detected position of the ultrasonic signal is located at a defect and the degree of environmental interference received by the ultrasonic signal;

[0028] The wavelet threshold of the ultrasonic signal is positively correlated with the degree of environmental interference received by the ultrasonic signal, and the wavelet threshold of the ultrasonic signal is negatively correlated with the possibility that the detected position of the ultrasonic signal is located at a defect;

[0029] Use the wavelet threshold denoising algorithm, combined with the wavelet threshold of each ultrasonic signal, to denoise the ultrasonic signal.

[0030] Another embodiment of the present invention provides a high-precision quality detection system for asphalt pavement, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned high-precision quality detection method for asphalt pavement are implemented.

[0031] Still another embodiment of the present invention provides a high-precision quality detection device for asphalt pavement, including the main body of the high-precision quality detection device for asphalt pavement, and further including a high-precision quality detection system for asphalt pavement. The high-precision quality detection system for asphalt pavement includes a signal acquisition module, a multi-dimensional signal analysis module, a one-dimensional signal analysis module, and a quality detection module.

[0032] The signal acquisition module is used to collect multi-dimensional ultrasonic signals by using a plurality of ultrasonic detection devices. The multi-dimensional ultrasonic signals are ultrasonic signals collected by different ultrasonic detection devices.

[0033] The multi-dimensional signal analysis module is used to group the ultrasonic signals in different dimensions according to the acquisition time, obtain several ultrasonic signal groups and acquire the local signal segments of each ultrasonic signal; decompose the local signal segments of each ultrasonic signal to obtain several harmonic components of the local signal segments of each ultrasonic signal; according to the differences in the harmonic components of the local signal segments of different ultrasonic signals in the same ultrasonic signal group, obtain the noise factor of the harmonic components; according to the noise factor of the harmonic components, obtain the degree of environmental interference suffered by the ultrasonic signals corresponding to the harmonic components.

[0034] The one-dimensional signal analysis module is used to obtain the mutation degree of the ultrasonic signal according to the frequency difference between adjacent signals in the local signal segment of the ultrasonic signal; according to the fluctuation of the signal in the instantaneous frequency of the local signal segment of the ultrasonic signal, combined with the mutation degree of the ultrasonic signal, obtain the possibility that the detected position of the ultrasonic signal is located at a defect.

[0035] The quality detection module is used to adaptively denoise the ultrasonic signal according to the possibility that the detected position of the ultrasonic signal is located at a defect, and obtain the denoised ultrasonic signal; detect the quality of the asphalt pavement through the denoised ultrasonic signal.

[0036] The beneficial effect of the technical solution of the present invention is that: in this application, a plurality of ultrasonic detectors are set to collect ultrasonic signals simultaneously, and by using the characteristic that the environmental interference received by the ultrasonic detectors at the same time is similar, the ultrasonic signals at the same time are decomposed and compared to quantify the degree of environmental interference suffered by the ultrasonic signals.

[0037] Furthermore, according to the characteristic that the ultrasonic signal will mutate instantaneously when it contacts the edge of the defect during propagation, combined with the fact that the defect in the road is a complete space and the influence of the signal on two adjacent positions at the road defect is similar, the defect information and noise components in the ultrasonic signal are further distinguished to obtain the possibility that the detected position of the ultrasonic signal is at the defect. Based on this, the wavelet threshold of the ultrasonic signal is adaptively generated to denoise the ultrasonic signal, so as to avoid the loss of defect information while denoising, and finally improve the accuracy of detecting the quality of the asphalt pavement. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0039] Figure 1 It is a flowchart of the steps of a high-precision detection method for the quality of an asphalt pavement according to the present invention;

[0040] Figure 2 It is a schematic diagram of the road surface ultrasonic signal collected by the detection vehicle. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0041] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following will, in conjunction with the accompanying drawings and preferred embodiments, detail the specific implementation manners, structures, features and effects of a high-precision detection method, system and device for the quality of an asphalt pavement according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0043] The following will specifically describe the specific solutions of a high-precision detection method, system and device for the quality of an asphalt pavement provided by the present invention with reference to the accompanying drawings.

[0044] Please refer to Figure 1 , which shows a flowchart of the steps of a high-precision detection method for the quality of an asphalt pavement provided by an embodiment of the present invention. The method includes the following steps:

[0045] Step S001: Collect multi-dimensional ultrasonic signals by using a plurality of ultrasonic detection devices.

[0046] It should be noted that, as a high-precision method for detecting the quality of asphalt pavement, the specific process of this embodiment is to denoise the ultrasonic signal of the detected asphalt pavement while retaining the defect information in the ultrasonic signal, so as to improve the accuracy of detecting the quality of asphalt pavement. Therefore, it is first necessary to obtain the ultrasonic signal of the detected asphalt pavement.

[0047] It should be further noted that the noise in the ultrasonic signal for detecting asphalt pavement is mainly caused by environmental interference during detection. Since the environmental interference is the same within a local range, multiple ultrasonic detection devices can be set to collect the ultrasonic signal of the asphalt pavement. By comparing and analyzing the ultrasonic signals collected by different ultrasonic detection devices, the noise generated by environmental influence in the ultrasonic signal can be obtained more accurately, which is more conducive to denoising the noise of the subsequent ultrasonic signal.

[0048] Specifically, install groups of ultrasonic detection devices at the bottom of the detection vehicle, as Figure 2 shown, Figure 2 is a schematic diagram of the detection vehicle collecting the ultrasonic signal of the road surface. The is the preset installation quantity of the ultrasonic detection device; The specific value of can be set according to the actual situation by itself, and this embodiment does not make a rigid requirement. In this embodiment, is taken as an example for illustration. Let the detection vehicle travel at a constant speed on the asphalt pavement. The is the preset travel speed of the detection vehicle. The specific value of can be set according to the actual situation by itself, and this embodiment does not make a rigid requirement. In this embodiment, is taken as an example for illustration; set the sampling frequency of all ultrasonic detection devices to During the process of the detection vehicle traveling, collect the ultrasonic signal of the asphalt pavement through each ultrasonic detection device, and record the ultrasonic signal collected by each ultrasonic detection device as the ultrasonic signal of each dimension. The is the preset sampling frequency of the ultrasonic detection device. The specific value of can be set according to the actual situation by itself, and this embodiment does not make a rigid high requirement. In this embodiment, is described in terms of hertz. The specific value of can be set according to the actual situation by itself, and this embodiment does not make a rigid high requirement. In this embodiment, is described in terms of hertz.

[0049] Step S002: Group the ultrasonic signals in different dimensions according to the acquisition time to obtain a number of ultrasonic signal groups and obtain the local signal segments of each ultrasonic signal; decompose the local signal segments of each ultrasonic signal to obtain a number of harmonic components of the local signal segments of each ultrasonic signal; according to the differences in the harmonic components of the local signal segments of different ultrasonic signals in the same ultrasonic signal group, obtain the noise factor of the harmonic components; according to the noise factor of the harmonic components, obtain the degree of environmental interference suffered by the ultrasonic signals corresponding to the harmonic components.

[0050] It should be noted that the ultrasonic signals collected by the ultrasonic detectors include road surface components and noise components; and the environmental interferences suffered by multiple ultrasonic detection devices at the same time are similar. Therefore, the noise components in the ultrasonic signals in different dimensions are similar at the same time. Also, since the asphalt road surface contains gravel, sand, and asphalt, and the distribution of gravel and sand in the asphalt road surface is random, the irregular shapes of gravel and sand result in differences between the ultrasonic signals collected at different positions, that is, the road surface components in the ultrasonic signals in different dimensions are different at the same time. Therefore, group analysis is performed on the ultrasonic signals according to the acquisition time of the ultrasonic signals. Also, since it is difficult to extract the component characteristics of a single signal, it is also necessary to obtain the local signal segments of a single signal and decompose the ultrasonic signals at the same time to more accurately quantify the components in the ultrasonic signals. Finally, the degree of environmental interference suffered by the ultrasonic signals is obtained through the components in the harmonics after the decomposition of the ultrasonic signals.

[0051] Preferably, in an embodiment of the present invention, for the ultrasonic signals in all dimensions, the ultrasonic signals with the same acquisition time in all dimensions are grouped into the same ultrasonic signal group; a local signal range is preset , The specific value of which can be set according to the actual situation by itself and is not strictly required in this embodiment. In this embodiment, it is described with For any ultrasonic signal at any time in the ultrasonic signals of any dimension, all ultrasonic signals within seconds from the ultrasonic signal in the dimension are recorded as the local signal segment of the ultrasonic signal.

[0052] Further, for any ultrasonic signal group, obtain the local signal segments of all ultrasonic signals in the ultrasonic signal group, and perform Fourier transform on the local signal segment of each ultrasonic signal to obtain a number of harmonic components of the local signal segment of each ultrasonic signal. Since the specific process of Fourier transform is a well-known prior art, it will not be elaborated in this embodiment;

[0053] Further, according to the differences between the several harmonic components of the local signal segments of different ultrasonic signals in the ultrasonic signal group, obtain the noise factor of the several harmonic components, and its specific calculation formula is:

[0054]

[0055] Wherein, represents the noise factor of the th harmonic component of the local signal segment of the th ultrasonic signal in the ultrasonic signal group; represents the number of ultrasonic signals in the ultrasonic signal group; represents the number of harmonic components of the local signal segment of the th ultrasonic signal in the ultrasonic signal group; represents the amplitude of the th harmonic component of the local signal segment of the th ultrasonic signal in the ultrasonic signal group; represents the amplitude of the th harmonic component of the local signal segment of the th ultrasonic signal in the ultrasonic signal group; represents the period of the th harmonic component of the local signal segment of the th ultrasonic signal in the ultrasonic signal group; represents the period of the th harmonic component of the local signal segment of the th ultrasonic signal in the ultrasonic signal group; represents the function of traversing and taking the minimum value of the harmonic components of the local signal segment of the th ultrasonic signal in the ultrasonic signal group; represents the absolute value function; represents the linear normalization function, and its normalization object is the .

[0056] It should be noted that, and respectively represent the differences in amplitude and period of different harmonic components in the same ultrasonic signal group. Since the ultrasonic signals in the same ultrasonic signal group have similar noise components but different road surface components, therefore and the smaller the value, the more similar the harmonic component is, that is, the more noise components it contains; by traversing all harmonic components and taking the harmonic component with the smallest difference among them, the content of the noise components contained in the harmonic component can be obtained, and further combined with all the harmonic components of the local signal segment of the ultrasonic signal to quantify the degree of environmental interference received by the ultrasonic signal.

[0057] Preferably, in an embodiment of the present invention, for any ultrasonic signal, the noise factors of all harmonic components of the local signal segment of the ultrasonic signal are obtained, and the mean value of the noise factors of all harmonic components of the local signal segment of the ultrasonic signal is used as the degree of environmental interference suffered by the ultrasonic signal. The specific calculation formula is as follows:

[0058]

[0059] In the formula, represents the degree of environmental interference suffered by the th ultrasonic signal; represents the number of harmonic components of the local signal segment of the th ultrasonic signal; represents the noise factor of the th harmonic component of the local signal segment of the th ultrasonic signal.

[0060] It should be noted that when the noise factor in the harmonic components of the local signal segment of the ultrasonic signal is larger, it indicates that there is more noise in the ultrasonic signal, that is, the environmental interference suffered by the ultrasonic signal is stronger.

[0061] Thus, the degree of environmental interference suffered by the ultrasonic signal is obtained.

[0062] Step S003: Obtain the mutation degree of the ultrasonic signal according to the frequency difference between adjacent signals in the local signal segment of the ultrasonic signal; obtain the possibility that the position detected by the ultrasonic signal is at a defect according to the fluctuation of the signal in the local signal segment of the ultrasonic signal in the instantaneous frequency, in combination with the mutation degree of the ultrasonic signal.

[0063] It should be noted that when using an ultrasonic detection device to detect the quality of an asphalt pavement, defects such as cavities and cracks in the asphalt pavement will cause mutations in the ultrasonic signal locally, and the performance in the signal is similar to that of noise. To avoid the loss of defect information during the denoising process of the ultrasonic signal, it is necessary to further distinguish the defect information and noise in the ultrasonic signal. Since during the ultrasonic inspection of the asphalt pavement, when cracks, cavities and other defects appear in the asphalt pavement, the ultrasonic signal will suddenly pass through different media during propagation, and the ultrasonic signal will mutate when passing through different media. Therefore, the noise and defects in the ultrasonic signal can be initially distinguished by the mutation degree; and since the defects in the road are a complete space, the influence of the signal on two adjacent positions in the road defect is similar, so the similarity of the corresponding signals at two adjacent positions in the road defect can be used to obtain the possibility of containing defects in the road.

[0064] Preferably, in an embodiment of the present invention, for any ultrasonic signal, the instantaneous frequency of all signals within the local signal segment of the ultrasonic signal is obtained by using the Hilbert transform. Since the Hilbert transform is a well-known existing technology, it will not be elaborated in this embodiment; according to the frequency difference between adjacent ultrasonic signals within the local signal segment of the ultrasonic signal, the mutation degree of the ultrasonic signal is obtained, and its specific calculation formula is:

[0065]

[0066] In the formula, represents the mutation degree of the th ultrasonic signal; represents the instantaneous frequency of the th ultrasonic signal; represents the instantaneous frequency of the th ultrasonic signal; represents the number of signals in the local signal segment of the th ultrasonic signal; represents the th signal in the local signal segment of the th ultrasonic signal; represents the th signal in the local signal segment of the th ultrasonic signal; represents the absolute value function; represents the linear normalization function, and the normalization object is of all ultrasonic signals.

[0067] It should be noted that represents that, within the local signal segment of the th ultrasonic signal, the difference between each ultrasonic signal and the previous ultrasonic signal, and the greater the difference between this difference and the difference between the th ultrasonic signal and the th ultrasonic signal, the greater the mutation degree of the th ultrasonic signal.

[0068] Preferably, in an embodiment of the present invention, for any ultrasonic signal, according to the degree of fluctuation of all signals in the local signal segment of the ultrasonic signal in terms of instantaneous frequency, combined with the mutation degree of the ultrasonic signal, the possibility that the position detected by the ultrasonic signal is at a defect is obtained, and its calculation formula is:

[0069]

[0070] In the formula, represents the possibility that the position detected by the ultrasonic signal is at a defect; represents the The degree of mutation of an ultrasonic signal; Indicating the number of signals in the local signal segment of the th ultrasonic signal; Indicating the th ultrasonic signal, the instantaneous frequency of the th signal in the local signal segment; Indicating the th ultrasonic signal, the instantaneous frequency of the th signal in the local signal segment; Indicating the th ultrasonic signal, the instantaneous frequency of the th signal in the local signal segment; Indicating a linear normalization function, and the object of normalization is all ultrasonic signals .

[0071] It should be noted that the noise component in the ultrasonic signal will quickly return to the normal fluctuation range after mutation, while the defect in the road is a complete space. After the defect information in the ultrasonic signal mutates, it will remain in this state for a period of time. At this time, the greater the degree of mutation of the ultrasonic signal, the more likely the detected position of the ultrasonic signal is located at the defect.

[0072] Thus, the possibility that the detected position of the ultrasonic signal is located at the defect is obtained.

[0073] Step S004: According to the possibility that the detected position of the ultrasonic signal is located at the defect, adaptively denoise the ultrasonic signal to obtain the denoised ultrasonic signal; detect the quality of the asphalt pavement through the denoised ultrasonic signal.

[0074] It should be noted that by obtaining the degree of environmental interference of the ultrasonic signal and the possibility that the detected position of the ultrasonic signal is located at the defect through steps S002 and S003 respectively, it is possible to denoise the ultrasonic signal while avoiding the loss of defect information, and finally improve the accuracy of detecting the quality of the asphalt pavement.

[0075] Preferably, in an embodiment of the present invention, an initial wavelet threshold is preset , and its specific value can be set according to the actual situation. This embodiment does not make a rigid requirement. In this embodiment, it is described with ; for any ultrasonic signal, according to the possibility that the detected position of the ultrasonic signal is located at the defect and the degree of environmental interference of the ultrasonic signal, obtain the wavelet threshold of the ultrasonic signal;

[0076] The wavelet threshold of the ultrasonic signal is positively correlated with the degree of environmental interference received by the ultrasonic signal, and the wavelet threshold of the ultrasonic signal is negatively correlated with the possibility that the detected position of the ultrasonic signal is at a defect; the specific calculation formula is:

[0077]

[0078] In the formula, represents the wavelet threshold of the th ultrasonic signal; represents a preset initial wavelet threshold; represents the degree of environmental interference received by the th ultrasonic signal; represents the possibility that the detected position of the ultrasonic signal is at a defect; represents the exponential function with the natural constant as the base. In this embodiment, the model is used to present the inverse proportional relationship and normalization processing, is the input of the model, and the implementer can set the inverse proportional function and normalization function according to the actual situation.

[0079] It should be noted that when the environmental interference received by the ultrasonic signal is stronger, the noise component in the ultrasonic signal is more. Therefore, it is more necessary to assign a large wavelet threshold to the ultrasonic signal to remove the noise component in the ultrasonic signal; and when the possibility that the detected position of the ultrasonic signal is at a defect is greater, it means that the ultrasonic signal is more likely to contain the defect information in the road surface, and a smaller wavelet threshold should be assigned to avoid the loss of defect information.

[0080] Furthermore, using the wavelet threshold denoising algorithm and combining the wavelet threshold of each ultrasonic signal, the ultrasonic signal is denoised to obtain the denoised ultrasonic signal. Since the wavelet threshold denoising algorithm is a well-known existing technology, it will not be elaborated in this embodiment; after obtaining the denoised ultrasonic signal, through the time domain reflectometry technology; by analyzing that in the process of ultrasonic signal propagation, the reflection times of different materials and structures are different. Through the time delay of the wave peaks and wave valleys in the denoised signal, problems such as pavement delamination, cracks and cavities can be detected; since the time domain reflectometry technology is a well-known existing technology, it will not be elaborated in this embodiment.

[0081] Another embodiment of the present invention provides a high-precision detection system for the quality of asphalt pavement, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements a high-precision detection method for the quality of asphalt pavement in steps S001 to S004.

[0082] Another embodiment of the present invention provides a high-precision quality detection device for asphalt pavement, including the main body of the high-precision quality detection device for asphalt pavement, and further including a high-precision quality detection system for asphalt pavement. The high-precision quality detection system for asphalt pavement includes a signal acquisition module, a multi-dimensional signal analysis module, a single-dimensional signal analysis module, and a quality detection module;

[0083] The signal acquisition module is used to collect multi-dimensional ultrasonic signals by using a plurality of ultrasonic detection devices. The multi-dimensional ultrasonic signals are ultrasonic signals collected by different ultrasonic detection devices;

[0084] The multi-dimensional signal analysis module is used to group the ultrasonic signals in different dimensions according to the acquisition time, obtain several ultrasonic signal groups and acquire the local signal segments of each ultrasonic signal; decompose the local signal segments of each ultrasonic signal to obtain several harmonic components of the local signal segments of each ultrasonic signal; according to the differences in the harmonic components of the local signal segments of different ultrasonic signals in the same ultrasonic signal group, obtain the noise factor of the harmonic components; according to the noise factor of the harmonic components, obtain the degree of environmental interference suffered by the ultrasonic signals corresponding to the harmonic components;

[0085] The single-dimensional signal analysis module is used to obtain the mutation degree of the ultrasonic signal according to the frequency difference between adjacent signals in the local signal segment of the ultrasonic signal; according to the fluctuation of the signal in the instantaneous frequency in the local signal segment of the ultrasonic signal, and in combination with the mutation degree of the ultrasonic signal, obtain the possibility that the position detected by the ultrasonic signal is at a defect;

[0086] The quality detection module is used to adaptively denoise the ultrasonic signal according to the possibility that the position detected by the ultrasonic signal is at a defect, and obtain the denoised ultrasonic signal; detect the quality of the asphalt pavement through the denoised ultrasonic signal.

[0087] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A high-precision detection method for the quality of an asphalt pavement, characterized in that: The method comprises the following steps: Using multiple ultrasonic detection devices to collect multi-dimensional ultrasonic signals, wherein the multi-dimensional ultrasonic signals are ultrasonic signals collected by different ultrasonic detection devices; The ultrasonic signals in different dimensions are grouped according to the acquisition time to obtain several ultrasonic signal groups and obtain the local signal segment of each ultrasonic signal; the local signal segment of each ultrasonic signal is decomposed to obtain several harmonic components of the local signal segment of each ultrasonic signal; according to the difference in the harmonic components of the local signal segments of different ultrasonic signals in the same ultrasonic signal group, the noise factor of the harmonic component is obtained; according to the noise factor of the harmonic component, the degree of environmental interference of the ultrasonic signal corresponding to the harmonic component is obtained; According to the difference in frequency between adjacent signals in the local signal segment of the ultrasonic signal, the degree of mutation of the ultrasonic signal is obtained; according to the fluctuation of the instantaneous frequency of the signal in the local signal segment of the ultrasonic signal, combined with the degree of mutation of the ultrasonic signal, the possibility that the position detected by the ultrasonic signal is located at the defect is obtained; According to the possibility that the position detected by the ultrasonic signal is located at a defect, the ultrasonic signal is adaptively denoised to obtain a denoised ultrasonic signal; the quality of the asphalt pavement is detected by the denoised ultrasonic signal; The noise factor of the harmonic component is obtained, and the specific calculation formula is: In the formula, Indicates the first The local signal segment of the ultrasonic signal The noise factor of the harmonic components; represents the number of ultrasonic signals in the ultrasonic signal group; Indicates the first The number of harmonic components of a local signal segment of an ultrasonic signal; Indicates the first The local signal segment of the ultrasonic signal The amplitude of the harmonic components; Indicates the first The local signal segment of the ultrasonic signal The amplitude of the harmonic components; Indicates the first The local signal segment of the ultrasonic signal The period of the harmonic components; Indicates the first The local signal segment of the ultrasonic signal The period of the harmonic components; Indicates the first The harmonic components of the local signal segments of the ultrasonic signal are traversed and the minimum value function is taken; It represents the absolute value function; represents the linear normalization function; The specific method of obtaining the mutation degree of the ultrasonic signal includes: For any ultrasonic signal, the instantaneous frequency of all signals in the local signal segment of the ultrasonic signal is obtained by using Hilbert transform, and the mutation degree of the ultrasonic signal is obtained according to the frequency difference between adjacent ultrasonic signals in the local signal segment of the ultrasonic signal. The specific calculation formula is: In the formula, Indicates The degree of mutation of the ultrasound signal; Indicates The instantaneous frequency of an ultrasonic signal; Indicates The instantaneous frequency of an ultrasonic signal; Indicates The number of signals in a local signal segment of an ultrasonic signal; Indicates The first local signal segment of the ultrasonic signal The instantaneous frequency of a signal; Indicates The first local signal segment of the ultrasonic signal The instantaneous frequency of a signal; The specific calculation formula for the possibility that the position detected by the ultrasonic signal is located at the defect is: In the formula, Indicates the possibility that the position detected by the ultrasonic signal is located at a defect; Indicates The local signal segment of the ultrasonic signal The instantaneous frequency of a signal.

2. According to claim 1, a high-precision detection method for asphalt pavement quality is characterized in that: The method of collecting multi-dimensional ultrasonic signals by using multiple ultrasonic detection devices includes: Installed on the bottom of the rover An ultrasonic detection device, the The number of ultrasonic detection devices installed is set to a certain value, so that the detection vehicle moves at a constant speed. On asphalt roads, the The sampling frequency of all ultrasonic detection devices is set to , while the detection vehicle is driving, each ultrasonic detection device is used to collect ultrasonic signals of the asphalt road surface; is the preset sampling frequency of the ultrasonic detection device.

3. According to claim 1, a high-precision detection method for asphalt pavement quality is characterized in that: The method of grouping the ultrasonic signals in different dimensions according to the acquisition time to obtain a plurality of ultrasonic signal groups and acquiring a local signal segment of each ultrasonic signal includes the following specific methods: For ultrasonic signals of all dimensions, ultrasonic signals with the same acquisition time in all dimensions are classified into the same ultrasonic signal group; a local signal range is preset , for an ultrasonic signal at any time in an ultrasonic signal of any dimension, the distance from the ultrasonic signal in the dimension All ultrasonic signals within seconds are recorded as the local signal segment of the ultrasonic signal.

4. According to claim 1, a high-precision detection method for asphalt pavement quality is characterized in that: The specific method of obtaining the degree of environmental interference to the ultrasonic signal corresponding to the harmonic component includes: For any ultrasonic signal, the noise factors of all harmonic components of a local signal segment of the ultrasonic signal are obtained, and the average value of the noise factors of all harmonic components of the local signal segment of the ultrasonic signal is taken as the degree of environmental interference to which the ultrasonic signal is subjected.

5. The high-precision detection method for asphalt pavement quality according to claim 1 is characterized in that: The specific method of adaptively denoising the ultrasonic signal includes: Preset an initial wavelet threshold , for any ultrasonic signal, according to the possibility that the position detected by the ultrasonic signal is located at a defect and the degree of environmental interference to which the ultrasonic signal is subjected, the wavelet threshold of the ultrasonic signal is obtained; The wavelet threshold of the ultrasonic signal is positively correlated with the degree of environmental interference to which the ultrasonic signal is subjected, and the wavelet threshold of the ultrasonic signal is negatively correlated with the possibility that the position detected by the ultrasonic signal is located at a defect; The ultrasonic signal is denoised using the wavelet threshold denoising algorithm combined with the wavelet threshold of each ultrasonic signal.

6. A high-precision asphalt pavement quality detection system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the computer program is executed by a processor, the steps of a high-precision detection method for the quality of an asphalt pavement as described in any one of claims 1 to 5 are implemented.

7. A high-precision detection device for the quality of an asphalt pavement, comprising a body of the high-precision detection device for the quality of an asphalt pavement, characterized in that: It also includes a high-precision quality detection system for an asphalt pavement, the high-precision quality detection system for an asphalt pavement including a signal acquisition module, a multi-dimensional signal analysis module, a single-dimensional signal analysis module, and a quality detection module; The signal acquisition module is used to use multiple ultrasonic detection devices to collect multi-dimensional ultrasonic signals, where the multi-dimensional ultrasonic signals are ultrasonic signals collected by different ultrasonic detection devices; The multidimensional signal analysis module is used to group the ultrasonic signals in different dimensions according to the acquisition time to obtain a plurality of ultrasonic signal groups and obtain the local signal segment of each ultrasonic signal; decompose the local signal segment of each ultrasonic signal to obtain a plurality of harmonic components of the local signal segment of each ultrasonic signal; obtain the noise factor of the harmonic component according to the difference in the harmonic component between the local signal segments of different ultrasonic signals in the same ultrasonic signal group; and obtain the degree of environmental interference of the ultrasonic signal corresponding to the harmonic component according to the noise factor of the harmonic component; The one-dimensional signal analysis module is used to obtain the degree of mutation of the ultrasonic signal according to the difference in frequency between adjacent signals in the local signal segment of the ultrasonic signal; and to obtain the possibility that the position detected by the ultrasonic signal is located at a defect according to the fluctuation of the signal at the instantaneous frequency in the local signal segment of the ultrasonic signal and the degree of mutation of the ultrasonic signal; The quality detection module is used to adaptively denoise the ultrasonic signal according to the possibility that the position detected by the ultrasonic signal is located at a defect, so as to obtain a denoised ultrasonic signal; and detect the quality of the asphalt pavement through the denoised ultrasonic signal; The noise factor of the harmonic component is obtained, and the specific calculation formula is: In the formula, Indicates the first The local signal segment of the ultrasonic signal The noise factor of the harmonic components; represents the number of ultrasonic signals in the ultrasonic signal group; Indicates the first The number of harmonic components of a local signal segment of an ultrasonic signal; Indicates the first The local signal segment of the ultrasonic signal The amplitude of the harmonic components; Indicates the first The local signal segment of the ultrasonic signal The amplitude of the harmonic components; Indicates the first The local signal segment of the ultrasonic signal The period of the harmonic components; Indicates the first The local signal segment of the ultrasonic signal The period of the harmonic components; Indicates the first The harmonic components of the local signal segments of the ultrasonic signal are traversed and the minimum value function is taken; It represents the absolute value function; represents the linear normalization function; The specific method of obtaining the mutation degree of the ultrasonic signal includes: For any ultrasonic signal, the instantaneous frequency of all signals in the local signal segment of the ultrasonic signal is obtained by using Hilbert transform, and the mutation degree of the ultrasonic signal is obtained according to the frequency difference between adjacent ultrasonic signals in the local signal segment of the ultrasonic signal. The specific calculation formula is: In the formula, Indicates The degree of mutation of the ultrasound signal; Indicates The instantaneous frequency of an ultrasonic signal; Indicates The instantaneous frequency of an ultrasonic signal; Indicates The number of signals in a local signal segment of an ultrasonic signal; Indicates The first local signal segment of the ultrasonic signal The instantaneous frequency of a signal; Indicates The first local signal segment of the ultrasonic signal The instantaneous frequency of a signal; The specific calculation formula for the possibility that the position detected by the ultrasonic signal is located at the defect is: In the formula, Indicates the possibility that the position detected by the ultrasonic signal is located at a defect; Indicates The first local signal segment of the ultrasonic signal The instantaneous frequency of a signal.

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