A roller-type dry-coupled array ultrasonic pavement disease detection system and disease identification method

Abstract

The present invention discloses a roller-type dry-coupled array ultrasonic pavement disease detection system and a disease identification method, wherein the method comprises: obtaining the roller rotation angle; collecting pavement disease signal data according to the determined roller rotation angle; performing data reorganization and denoising on the pavement disease signal data to obtain denoised signal data; performing local encryption on the position of data abnormality in the denoised signal data to obtain imaging data, and comparing the imaging data with the imaging data of a typical disease case library to obtain a rapid interpretation of the disease. The present invention improves the disease detection accuracy by installing an array ultrasonic probe on a roller, and improves the detection efficiency by using a longitudinal and transverse bidirectional scanning local encryption algorithm, and by rapid disease detection by roller rotation.

Description

Technical Field

[0001] The present invention belongs to the technical field of nondestructive detection of latent road defects, and in particular relates to a roller-type dry-coupled array ultrasonic road surface defect detection system and a defect identification method. Background Art

[0002] Road construction and road operation and maintenance are crucial to roadbed safety. However, due to the existence of building backfill, construction disturbance, and pipeline damage, local non-compactness and hollow bodies often occur under the road, which can easily cause road pavement to collapse, burying hidden dangers for the high standards and rapid development requirements of urbanization. The prominent diseases of frozen soil thawing have caused losses to personal safety and economic property, and reduced the construction progress. Therefore, non-destructive testing of latent diseases under the road is an important means to ensure safe and efficient operation and maintenance of roads. The use of ultrasound to detect diseases has the advantages of being free from electromagnetic interference such as steel bars and low cost, and has broad practical application prospects. In addition, the clever use of roller rotation to transform array ultrasonic detection into a mesh can improve the detection depth and disease identification accuracy of disasters such as road decompression and collapse, and further provide a scientific basis for determining the road damage level and precise disease control.

[0003] The detection methods of latent diseases under roads mainly include those based on high-density electrical method, transient surface wave method, geological radar method and ultrasonic method. For example, the surface wave method mostly obtains the inversion results of the underground shear wave velocity in the form of circular array observation, and uses the surface wave as the effective signal for detection. The imaging results are easily affected by the extraction accuracy of the dispersion curve and the multi-solution of the inversion results; the geological radar method is especially susceptible to low-conductivity media such as steel bars and cables, which can easily cause the echo to be suppressed, and the effective signal is difficult to extract, affecting the identification and judgment of the disease. However, these types of detection methods generally have the problems of insufficient accuracy, susceptibility to interference from the surrounding environment, low work efficiency, and inaccurate identification and judgment of the disease type, which leads to the phenomenon of missed detection and false detection in the detection of latent diseases under the road, causing road maintenance personnel to miss the best golden time for disease control, increasing the cost of road maintenance, and laying serious hidden dangers for road safety operation and maintenance and the safety of life and property.

[0004] Ultrasonic detection technology has the advantages of high imaging accuracy and good interpretability, and is suitable for the task of detecting potential diseases under roads. In particular, the surface of the road is rich in water, and electromagnetic waves and high-density electrical currents are distributed in the low-resistance surface position. The signal penetration ability of deep parts is insufficient, and ultrasonic detection has better applicability. Currently, the commonly used ultrasonic detection of road disease detection mostly adopts single-channel transmission and dual-channel reception. The multi-channel signal is collected by manually moving the receiving probe. The preparation time for the layout of each measuring point in a large range is long, and the interpretation of the disease is based on the original observation data. The positioning error of complex media is large and the imaging accuracy is insufficient, which can easily cause problems such as omission of diseases and incorrect interpretation. Summary of the invention

[0005] In order to solve the above technical problems, the present invention proposes a roller-type dry-coupled array ultrasonic pavement defect detection system and a defect identification method. By installing an array ultrasonic probe on a roller, the vertical and horizontal bidirectional scanning local encryption algorithm is used to improve the defect detection accuracy, and the detection efficiency is improved by the rapid defect detection through the rotation of the roller.

[0006] On the one hand, to achieve the above-mentioned purpose, the present invention provides a roller-type dry-coupled array ultrasonic pavement disease detection system, including: a detection preparation module, a signal acquisition module, a data processing module and a data imaging and interpretation module;

[0007] The detection preparation module is used to obtain the rotation angle of the roller;

[0008] The signal acquisition module is used to collect road surface disease signal data according to the determined roller rotation angle;

[0009] The data processing module is used to perform data reorganization and denoising on the pavement disease signal data to obtain denoised signal data;

[0010] The data imaging and interpretation module is used to locally encrypt the location of data anomalies in the denoised signal data to obtain imaging data, compare the imaging data with the imaging data of a typical disease case library, and obtain a rapid interpretation of the disease.

[0011] Furthermore, the process of obtaining the roller rotation angle includes:

[0012] The number of splicable sliding shafts 7 and the density of dry-coupled probes 9 are determined according to the size and width of the detection surface and connected to the equipment through a multi-core shielded transmission cable 6; the detection system is moved to the risk section position according to the GPS positioning 4 on the equipment, and the multi-threaded laser radar 5 obtains the surface undulation point cloud map; the hydraulic connecting rod 13 is extended until the contact pressure sensor 15 reaches the threshold, and the splicable sliding shaft 7 is placed on the road surface to be detected until the roller axial arrays are all in contact with the surface, and the roller rotation angle when the dry-coupled probe 9 contacts the ground is recorded.

[0013] Furthermore, the process of collecting road surface damage signal data according to the determined roller rotation angle includes:

[0014] The acquisition module 2 generates an excitation waveform, and the power supply 3 provides excitation energy to make the dry-coupled probe 9 excite a high-voltage pulse signal. The probe converts electrical energy into mechanical energy to achieve signal excitation, and triggers all probes to receive each time until the signal triggered by the last probe is received by data, and the single-line data is saved to the processing host 1; the splicing roller 7 can rotate to the array of dry-coupled probes 9 at the next rotation angle, and when the next row of dry-coupled probes 9 are in contact, signal acquisition continues, and the acquired signals are saved in the multi-line data body.

[0015] Furthermore, the process of reorganizing the pavement damage signal data includes:

[0016] The four-dimensional data obtained by observation are divided into transverse survey lines and longitudinal survey lines along the roller according to their different surface projections after rotation. The longitudinal survey line is the data received by a certain array when the roller rolls; the transverse survey line is the self-excited and self-received data generated by extracting different offset distance data on the longitudinal survey line.

[0017] Furthermore, the location of the data anomaly in the denoised signal data is locally encrypted, and the process of obtaining imaging data includes: using the intersection of the longitudinal and transverse survey lines to represent the geological information at the same location, and using the point as a landmark to constrain the geological structure. Since the longitudinal survey line adopts a common offset observation form similar to geological radar, it can achieve rough and rapid positioning of hidden defects and encrypt the imaging grid at the location, and then obtain imaging data by jointly scanning and superimposing the longitudinal and transverse survey lines.

[0018] On the other hand, to achieve the above-mentioned purpose, the present invention also provides a roller-type dry-coupled array ultrasonic pavement disease identification method, comprising:

[0019] Get the scroll wheel rotation angle;

[0020] Collect road surface disease signal data according to the determined roller rotation angle;

[0021] Performing data reorganization and denoising on the pavement disease signal data to obtain denoised signal data;

[0022] The position of the data anomaly in the denoised signal data is locally encrypted to obtain imaging data, and the imaging data is compared with the imaging data of a typical disease case library to obtain a rapid interpretation of the disease.

[0023] Furthermore, the method for obtaining the rotation angle of the roller includes:

[0024] The number of spliced ​​sliding shafts and the density of dry-coupled probes are determined according to the size and width of the detection surface, and they are connected to the equipment through a multi-core shielded transmission cable. The detection system is moved to the risk section according to the GPS positioning on the equipment, and the multi-threaded lidar obtains the surface undulation point cloud map. The hydraulic connecting rod is extended until the contact pressure sensor reaches the threshold, and the spliced ​​sliding shaft is placed on the road surface to be detected until the roller axial arrays are all in contact with the surface, and the roller rotation angle when the dry-coupled probe touches the ground is recorded.

[0025] Furthermore, the method for collecting road surface damage signal data according to the determined roller rotation angle includes:

[0026] The acquisition module generates an excitation waveform, and the power supply provides excitation energy to excite the dry-coupled probe to generate a high-voltage pulse signal. The probe converts electrical energy into mechanical energy to achieve signal excitation. Each time, all probes are triggered to receive until the signal triggered by the last probe is received by the data, and the single-line data is saved to the processing host; the dry-coupled probe array at the next rotation angle can be spliced, and when the next row of dry-coupled probes are in contact, signal acquisition continues, and the acquired signals are saved in the multi-line data body.

[0027] Furthermore, the method for reorganizing the pavement damage signal data includes:

[0028] The four-dimensional data obtained by observation are divided into transverse survey lines and longitudinal survey lines along the roller according to their different surface projections after rotation. The longitudinal survey line is the data received by a certain array when the roller rolls; the transverse survey line is the self-excited and self-received data generated by extracting different offset distance data on the longitudinal survey line.

[0029] Furthermore, the location of the data anomaly in the denoised signal data is locally encrypted, and the method for obtaining imaging data includes: using the intersection of the longitudinal and transverse survey lines to represent the geological information at the same location, and using the point as a landmark point to constrain the geological structure. Since the longitudinal survey line adopts a common offset observation form similar to geological radar, it can achieve rough and rapid positioning of hidden defects and encrypt the imaging grid at the location, and then obtain imaging data by jointly scanning and superimposing the longitudinal and transverse survey lines.

[0030] Technical effect of the present invention: The present invention discloses a roller-type dry-coupled array ultrasonic pavement defect detection system and a defect identification method. The roller device is used to form a two-dimensional mesh observation system that reconstructs one-dimensional rolling data into longitudinal and lateral connections, which scientifically and rationally improves the working efficiency of ultrasonic detection. Constrained imaging is performed by combining the horizontal and longitudinal azimuth survey lines to improve imaging accuracy. Specifically, the common offset distance profile obtained by the horizontal survey line can quickly determine the preliminary location of the defect, and the imaging accuracy on the longitudinal survey line is improved by using the locally encrypted imaging grid. The imaging accuracy can be better obtained on the basis of only local grid encryption, which reduces the computing memory and imaging time, and is conducive to the realization of real-time imaging and identification of defects. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0032] Figure 1 This is a schematic diagram of the structure of a detection system according to an embodiment of the present invention;

[0033] Figure 2 This is a schematic diagram of the vehicle-mounted detection structure of an embodiment of the present invention;

[0034] Figure 3 This is a process flow chart of an embodiment of the present invention;

[0035] Figure 4 This is a schematic diagram of fine imaging according to an embodiment of the present invention;

[0036] Among them, 1-processing host, 2-acquisition module, 3-power supply, 4-GPS positioning, 5-multi-threaded laser radar, 6-multi-core shielded transmission cable, 7-jointable pulley, 8-connecting shaft, 9-dry coupling probe, 10-shock-absorbing spring, 11-engineering vehicle, 12-rotating joint, 13-hydraulic connecting rod, 14-support beam, 15-contact pressure sensor, 16-coupling pad, 17-longitudinal measurement line, 18-transverse measurement line DETAILED DESCRIPTION

[0037] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0038] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0039] like Figure 1-4 As shown, in this embodiment, a roller-type dry-coupled array ultrasonic pavement disease detection system is provided, including: a detection preparation module, a signal acquisition module, a data processing module and a data imaging and interpretation module;

[0040] A detection preparation module is used to obtain the rotation angle of the roller;

[0041] A signal acquisition module, used to collect road surface disease signal data according to the determined roller rotation angle;

[0042] A data processing module is used to perform data reorganization and denoising on the pavement disease signal data to obtain denoised signal data;

[0043] The data imaging and interpretation module is used to locally encrypt the location of data anomalies in the denoised signal data to obtain imaging data, compare the imaging data with the imaging data of the typical disease case library, and obtain a rapid interpretation of the disease.

[0044] The specific implementation process includes:

[0045] The processing host 1 is connected to the acquisition module 2 to implement the issuance of the acquisition instruction, wherein the power supply 3 supplies power to the acquisition module 2 to amplify the weak excitation signal. The amplified signal of the acquisition module 2 is transmitted to the dry coupling probe 9 with a shock absorbing spring 10 at the tail end. The GPS positioning 4 and the multi-threaded laser radar are nested in the same device and connected to the splicable roller 7 to obtain the position and surface undulation information, and transmit the information to the processing host 1. According to the needs of the detection range, multiple splicable rollers 7 can be connected using a connecting shaft 8.

[0046] In a specific embodiment, the processing host 1 is connected to the acquisition module 2 to implement the issuance of the acquisition instruction, and is also connected to the hydraulic connecting rod 13. The extension and retraction of the hydraulic connecting rod 13 drives the support beam 14 to rotate around the rotary joint 12 to realize the lowering and recovery of the detection roller. The power supply 3 supplies power to the acquisition module 2. The GPS positioning 4 and the multi-threaded laser radar are nested in the same device and mounted at the top end of the engineering vehicle 11. It is used to obtain the position and surface undulation information. The signal amplified by the acquisition module 2 is transmitted to the dry coupling probe 9 with a spring shock absorber 10 at the tail end. The coupling pad 16 is installed at the end of the dry coupling probe that contacts the ground. The spring shock absorber 10 is connected to the contact pressure sensor 15. When the contact pressure sensor reaches a predetermined threshold, detection begins.

[0047] Phase 1 Detection Preparation (1) Determine the number of spliced ​​sliding shafts 7 and the density of dry-coupled probes 9 according to the size and width of the detection surface and connect them to the equipment through a multi-core shielded transmission cable 6; (2) Move the detection system to the risk section according to the GPS positioning 4 on the equipment, and the multi-threaded laser radar 5 obtains the surface undulation point cloud map; (3) The hydraulic connecting rod 13 is extended until the contact pressure sensor 15 reaches the threshold, and the spliced ​​sliding shaft 7 is placed on the road surface to be detected until the roller axial arrays are all in contact with the surface, and the roller rotation angle when the dry-coupled probe 9 contacts the ground is recorded;

[0048] Phase II: Signal Acquisition (4) The acquisition module 2 generates an excitation waveform, and the power supply 3 provides excitation energy to excite the dry-coupled probe 9 to generate a high-voltage pulse signal. The probe converts electrical energy into mechanical energy to achieve signal excitation. Each time, all probes are triggered to receive until the signal triggered by the last probe is received by the data, and the single-line data is saved to the processing host 1; (5) Roller rotation: The spliced ​​roller 7 is rotated to the array of dry-coupled probes 9 at the next rotation angle. When the next row of dry-coupled probes 9 are in contact, signal acquisition continues, and the acquired signals are saved in the multi-line data body.

[0049] Phase III data processing: (6) Data reorganization: By rearranging the data at different rotation angles along different axial distances, the horizontal and vertical observation data volumes Dh and Dz are obtained; (7) Data denoising: In order to remove the interference of direct waves and random noise, the data is processed using the structural constraint prediction filtering method based on waveform correlation to remove the interference of direct waves and random noise.

[0050] Phase 4 Data imaging: (8) Fine imaging: After we obtain data through acquisition, we can locally encrypt the location of data anomalies to achieve the effect of fine imaging. The specific operation is to locally encrypt the abnormal location of the longitudinal survey line 17, and the separated longitudinal and transverse data bodies are imaged separately by scanning and superposition to improve the imaging accuracy of the survey line. (9) Disease interpretation: Based on the waveform similarity, the imaging results are compared with the imaging results in the typical disease case library, and the artificial intelligence network is used to obtain a rapid interpretation of the disease.

[0051] Step (6) Data Reorganization: The four-dimensional data (angle survey line, source, detection, time) obtained by observation can be divided into a horizontal survey line 18 and a longitudinal survey line 17 along the roller according to the different surface projections after rotation. The longitudinal survey line 17 is the data received by a certain array when the roller rolls; the horizontal survey line 18 is the self-excited and self-received data formed by extracting different offset distance data on the longitudinal survey line.

[0052] Step (8) Fine imaging: The intersection of the longitudinal and transverse survey lines represents the geological information at the same location, so this point is used as a landmark point to constrain the geological structure. Since the longitudinal survey line adopts a common offset observation method similar to geological radar, it can achieve rough and rapid positioning of hidden defects and encrypt the imaging grid at the location. Then, fine imaging can be obtained by combining the scanning and superposition of the longitudinal and transverse survey lines.

[0053] like Figure 1-4 As shown, this embodiment also provides a roller-type dry-coupled array ultrasonic pavement disease identification method, including: obtaining a roller rotation angle;

[0054] Collect road surface disease signal data according to the determined roller rotation angle;

[0055] Perform data reorganization and denoising on the pavement disease signal data to obtain denoised signal data;

[0056] The location of data anomalies in the denoised signal data is locally encrypted to obtain imaging data, which is then compared with imaging data from a typical disease case library to obtain a rapid interpretation of the disease.

[0057] The specific implementation methods include:

[0058] Phase 1 Detection Preparation (1) Determine the number of spliced ​​sliding shafts 7 and the density of dry-coupled probes 9 according to the size and width of the detection surface and connect them to the equipment through a multi-core shielded transmission cable 6; (2) Move the detection system to the risk section according to the GPS positioning 4 on the equipment, and the multi-threaded laser radar 5 obtains the surface undulation point cloud map; (3) The hydraulic connecting rod 13 is extended until the contact pressure sensor 15 reaches the threshold, and the spliced ​​sliding shaft 7 is placed on the road surface to be detected until the roller axial arrays are all in contact with the surface, and the roller rotation angle when the dry-coupled probe 9 contacts the ground is recorded;

[0059] Phase II: Signal Acquisition (4) The acquisition module 2 generates an excitation waveform, and the power supply 3 provides excitation energy to excite the dry-coupled probe 9 to generate a high-voltage pulse signal. The probe converts electrical energy into mechanical energy to achieve signal excitation. Each time, all probes are triggered to receive until the signal triggered by the last probe is received by the data, and the single-line data is saved to the processing host 1; (5) Roller rotation: The spliced ​​roller 7 is rotated to the array of dry-coupled probes 9 at the next rotation angle. When the next row of dry-coupled probes 9 are in contact, signal acquisition continues, and the acquired signals are saved in the multi-line data body.

[0060] Phase III data processing: (6) Data reorganization: By rearranging the data at different rotation angles along different axial distances, the horizontal and vertical observation data volumes Dh and Dz are obtained; (7) Data denoising: In order to remove the interference of direct waves and random noise, the data is processed using the structural constraint prediction filtering method based on waveform correlation to remove the interference of direct waves and random noise.

[0061] Phase 4 Data imaging: (8) Fine imaging: After we obtain data through acquisition, we can locally encrypt the location of data anomalies to achieve the effect of fine imaging. The specific operation is to locally encrypt the abnormal location of the longitudinal survey line imaging, and the separated longitudinal and transverse data bodies are imaged separately by scanning and superposition to improve the imaging accuracy of the survey line. (9) Disease interpretation: Based on the waveform similarity, the imaging results are compared with the imaging results in the typical disease case library, and the artificial intelligence network is used to obtain a rapid interpretation of the disease.

[0062] Step (6) Data reorganization: The four-dimensional data (angle survey line, source, detection, time) obtained by observation can be divided into horizontal survey lines and longitudinal survey lines along the roller according to their different surface projections after rotation. The longitudinal survey line is the data received by a certain array when the roller rolls; the horizontal survey line is the self-excited and self-received data formed by extracting different offset distance data on the longitudinal survey line.

[0063] Step (8) Fine imaging: The intersection of the longitudinal and transverse survey lines represents the geological information at the same location, so this point is used as a landmark point to constrain the geological structure. Since the longitudinal survey line adopts a common offset observation method similar to geological radar, it can achieve rough and rapid positioning of hidden defects and encrypt the imaging grid at the location. Then, fine imaging can be obtained by combining the scanning and superposition of the longitudinal and transverse survey lines.

[0064] The present invention discloses a roller-type dry-coupled array ultrasonic pavement defect detection system and a defect identification method. A roller device is used to form a two-dimensional mesh observation system that reconstructs one-dimensional rolling data into longitudinal and lateral connections, thereby scientifically and rationally improving the work efficiency of ultrasonic detection. Constrained imaging is performed by combining the transverse and longitudinal azimuth survey lines to improve imaging accuracy. Specifically, the common offset distance profile obtained by the transverse survey line can quickly determine the initial location of the defect, and the imaging accuracy on the longitudinal survey line is improved by using a locally encrypted imaging grid. The imaging accuracy can be better obtained on the basis of only local grid encryption, which reduces the computing memory and imaging time, and is conducive to the realization of real-time imaging and identification of defects.

[0065] The above are only preferred specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A roller-type dry-coupled array ultrasonic pavement disease detection system, characterized in that: include: Detection preparation module, signal acquisition module, data processing module and data imaging and interpretation module; The detection preparation module is used to obtain the rotation angle of the roller; The signal acquisition module is used to collect road surface disease signal data according to the determined roller rotation angle; The data processing module is used to perform data reorganization and denoising on the pavement disease signal data to obtain denoised signal data; The process of reorganizing the pavement damage signal data includes: The four-dimensional data obtained by observation, which consists of angle survey lines, seismic sources, detection and time, are divided into horizontal survey lines and vertical survey lines along the roller according to their different surface projections after rotation. The vertical survey line is the data received by a certain array when the roller rolls; the horizontal survey line is the self-excited and self-received data formed by extracting different offset distance data on the vertical survey line; The data imaging and interpretation module is used to locally encrypt the location of data anomalies in the denoised signal data to obtain imaging data, compare the imaging data with the imaging data of a typical disease case library, and obtain a rapid interpretation of the disease.

2. The roller-type dry-coupled array ultrasonic pavement defect detection system according to claim 1, characterized in that: The process of obtaining the scroll wheel rotation angle includes: The number of splicable sliding shafts (7) and the density of dry-coupled probes (9) are determined according to the size and width of the detection surface and connected to the equipment through a multi-core shielded transmission cable (6); the detection system is moved to the risk section position according to the GPS positioning (4) on the equipment, and the multi-threaded laser radar (5) obtains the surface undulation point cloud map; the hydraulic connecting rod (13) is extended until the contact pressure sensor (15) reaches the threshold, and the splicable sliding shaft (7) is placed on the road surface to be detected until the roller axial arrays are all in contact with the surface, and the roller rotation angle when the dry-coupled probe (9) contacts the ground is recorded.

3. The roller-type dry-coupled array ultrasonic pavement defect detection system according to claim 1, characterized in that: The process of collecting pavement damage signal data according to the determined roller rotation angle includes: The acquisition module (2) generates an excitation waveform, and the power supply (3) provides excitation energy to enable the dry-coupled probe (9) to excite a high-voltage pulse signal. The probe converts electrical energy into mechanical energy to achieve signal excitation, and each time all probes are triggered to receive until the signal triggered by the last probe is received by data, and the single-line data is saved to the processing host (1); the splicing roller (7) can rotate to the array of dry-coupled probes (9) at the next rotation angle, and when the next row of dry-coupled probes (9) are in contact, signal acquisition continues, and the acquired signals are saved in the multi-line data body.

4. The roller-type dry-coupled array ultrasonic pavement defect detection system according to claim 1, characterized in that: The position of the data anomaly in the denoised signal data is locally encrypted to obtain the imaging data, including: using the intersection of the longitudinal and transverse survey lines to represent the geological information at the same position, and using the point as a landmark to constrain the geological structure. Since the longitudinal survey line adopts a common offset observation form similar to geological radar, it can achieve rough and rapid positioning of hidden defects and encrypt the imaging grid at the position, and then obtain imaging data by jointly scanning and superimposing the longitudinal and transverse survey lines.

5. A method for identifying road damage according to any one of claims 1 to 4, characterized in that: include: Get the scroll wheel rotation angle; Collect road surface disease signal data according to the determined roller rotation angle; Performing data reorganization and denoising on the pavement disease signal data to obtain denoised signal data; The process of reorganizing the pavement damage signal data includes: The four-dimensional data obtained by observation, which consists of angle survey lines, seismic sources, detection and time, are divided into horizontal survey lines and vertical survey lines along the roller according to their different surface projections after rotation. The vertical survey line is the data received by a certain array when the roller rolls; the horizontal survey line is the self-excited and self-received data formed by extracting different offset distance data on the vertical survey line; The position of the data anomaly in the denoised signal data is locally encrypted to obtain imaging data, and the imaging data is compared with the imaging data of a typical disease case library to obtain a rapid interpretation of the disease.

6. The roller-type dry-coupled array ultrasonic pavement disease identification method according to claim 5, characterized in that: The methods for obtaining the scroll wheel rotation angle include: The number of splicable sliding shafts (7) and the density of dry-coupled probes (9) are determined according to the size and width of the detection surface and connected to the equipment through a multi-core shielded transmission cable (6); the detection system is moved to the risk section position according to the GPS positioning (4) on the equipment, and the multi-threaded laser radar (5) obtains the surface undulation point cloud map; the hydraulic connecting rod (13) is extended until the contact pressure sensor (15) reaches the threshold, and the splicable sliding shaft (7) is placed on the road surface to be detected until the roller axial arrays are all in contact with the surface, and the roller rotation angle when the dry-coupled probe (9) contacts the ground is recorded.

7. The roller-type dry-coupled array ultrasonic pavement disease identification method according to claim 5, characterized in that: The method for collecting road surface disease signal data according to the determined roller rotation angle includes: The acquisition module (2) generates an excitation waveform, and the power supply (3) provides excitation energy to enable the dry-coupled probe (9) to excite a high-voltage pulse signal. The probe converts electrical energy into mechanical energy to achieve signal excitation, and each time all probes are triggered to receive until the signal triggered by the last probe is received by data, and the single-line data is saved to the processing host (1); the splicing roller (7) can rotate to the array of dry-coupled probes (9) at the next rotation angle, and when the next row of dry-coupled probes (9) are in contact, signal acquisition continues, and the acquired signals are saved in the multi-line data body.

8. The roller-type dry-coupled array ultrasonic pavement disease identification method according to claim 5, characterized in that: The method of locally encrypting the position of the data anomaly in the denoised signal data to obtain imaging data includes: using the intersection point of the longitudinal and transverse survey lines to represent the geological information at the same position, and using the point as a landmark point to constrain the geological structure. Since the longitudinal survey line adopts a common offset observation form similar to geological radar, it can achieve rough and rapid positioning of hidden defects and encrypt the imaging grid at the position, and then obtain imaging data by jointly scanning and superimposing the longitudinal and transverse survey lines.

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