Method and system for continuously detecting compaction quality of reconstructed and expanded roadbed

Abstract

The invention discloses a reconstruction and extension roadbed compaction quality continuous detection method and system, and the method comprises the steps: carrying out the fusion of a first compaction degree sequence and a second compaction degree sequence through employing a preset fusion strategy according to a region coincidence range between a first region and a second region, and obtaining a target compaction degree sequence; whether the difference value between the first target compaction degree and the second target compaction degree in the target compaction degree sequence is larger than a first preset threshold value or not is judged; and if the target compaction degree sequence is greater than the first preset threshold value, intercepting the target compaction degree sequence according to a preset interception rule to obtain at least one target compaction degree sub-sequence, and determining the region uniformity of the fusion region according to the at least one target compaction degree sub-sequence. The overall quality misjudgment caused by local defects is avoided, meanwhile, the compaction uniformity of a fusion area is objectively reflected through a subsequence length weighted fusion algorithm, and a quantitative basis is provided for construction acceptance.

Description

Technical Field

[0001] The present invention belongs to the technical field of subgrade detection, and particularly relates to a continuous detection method and system for the compaction quality of reconstructed and expanded subgrades. Background Art

[0002] In road reconstruction and expansion projects, the compaction quality of subgrades is a core factor in ensuring the structural stability, bearing capacity, and long-term service life of roads. To avoid local stress concentration, ensure uniform transmission of pressure and load, and prevent uneven settlement, it is necessary to ensure the uniformity of subgrade compaction.

[0003] In continuous detection of subgrade compaction quality, in existing methods, the average value of the global compaction degree of the rolling track is usually evaluated after the roller makes a round trip, and then compared with a set threshold to obtain the subgrade compaction quality. However, since the equipment where the vibration wheel shaft is located is manually operated, the tracks generated during the round trip will not completely overlap, resulting in inaccurate evaluation of the average value of the global compaction degree and affecting the accuracy of subgrade compaction quality detection. Summary of the Invention

[0004] The present invention provides a continuous detection method and system for the compaction quality of reconstructed and expanded subgrades, which is used to solve the technical problem that due to the manual operation of the equipment where the vibration wheel shaft is located, the tracks generated during the round trip will not completely overlap, resulting in inaccurate evaluation of the average value of the global compaction degree.

[0005] In a first aspect, the present invention provides a continuous detection method for the compaction quality of reconstructed and expanded subgrades, including: Obtaining at least one first acceleration signal of the vibration wheel shaft in a first region and at least one second acceleration signal in a second region, where the first region and the second region are two partially overlapping regions; [[ID=ID=23]]Analyzing the at least one first acceleration signal and the at least one second acceleration signal respectively according to a preset signal processing strategy to obtain a first compaction degree corresponding to the at least one first acceleration signal and a second compaction degree corresponding to the at least one second acceleration signal; Sorting each first compaction degree and each second compaction degree respectively based on the time sequence to obtain a first compaction degree sequence and a second compaction degree sequence, and fusing the first compaction degree sequence and the second compaction degree sequence according to the regional overlap range between the first region and the second region by using a preset fusion strategy to obtain a target compaction degree sequence; Determine whether the difference between the first target compaction degree and the second target compaction degree in the target compaction degree sequence is greater than a first preset threshold, where the first target compaction degree and the second target compaction degree are any two target compaction degrees in the target compaction degree sequence; If it is greater than the first preset threshold, intercept the target compaction degree sequence according to a preset interception rule to obtain at least one target compaction degree subsequence, and determine the regional uniformity of the fusion area according to the at least one target compaction degree subsequence, where the fusion area is the area obtained by taking the union of the first area and the second area.

[0006] In a second aspect, the present invention provides a continuous detection system for the compaction quality of a reconstructed subgrade, including: An acquisition module configured to acquire at least one first acceleration signal of a vibratory drum shaft in a first area and at least one second acceleration signal in a second area, where the first area and the second area are two partially overlapping areas; An analysis module configured to analyze the at least one first acceleration signal and the at least one second acceleration signal respectively according to a preset signal processing strategy to obtain a first compaction degree corresponding to the at least one first acceleration signal and a second compaction degree corresponding to the at least one second acceleration signal; A fusion module configured to sort each first compaction degree and each second compaction degree respectively based on the time sequence to obtain a first compaction degree sequence and a second compaction degree sequence, and fuse the first compaction degree sequence and the second compaction degree sequence by using a preset fusion strategy according to the regional overlap range between the first area and the second area to obtain a target compaction degree sequence; A judgment module configured to judge whether the difference between the first target compaction degree and the second target compaction degree in the target compaction degree sequence is greater than a first preset threshold, where the first target compaction degree and the second target compaction degree are any two target compaction degrees in the target compaction degree sequence; A determination module configured to, if it is greater than the first preset threshold, intercept the target compaction degree sequence according to a preset interception rule to obtain at least one target compaction degree subsequence, and determine the regional uniformity of the fusion area according to the at least one target compaction degree subsequence, where the fusion area is the area obtained by taking the union of the first area and the second area.

[0007] In a third aspect, an electronic device is provided, which includes: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is enabled to execute the steps of the method for continuously detecting the compaction quality of the reconstructed and expanded roadbed according to any embodiment of the present invention.

[0008] In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the program instructions are executed by a processor, the processor is enabled to execute the steps of the method for continuously detecting the compaction quality of the reconstructed and expanded roadbed according to any embodiment of the present invention.

[0009] The method and system for continuously detecting the compaction quality of the reconstructed and expanded roadbed of the present application adopt Fourier transform to extract the frequency-domain features of the acceleration signal, quantify the compaction degree through the waveform ratio, effectively filter out the time-domain noise interference, improve the objectivity and accuracy of the compaction evaluation, and combine the compaction degree fusion strategy of the regional overlap range to solve the problem of data redundancy in the overlapping area, ensuring the continuity and consistency of the target compaction degree sequence, providing a reliable data basis for subsequent uniformity analysis, and generating subsequences based on the truncation rule, calculating the local uniformity respectively. This technical means can accurately locate the weak links of compaction quality (such as the joint between the new and old roadbeds, the repaired area), avoid misjudgment of the overall quality caused by local defects, and at the same time, objectively reflect the compaction uniformity of the fusion area through the subsequence length weighted fusion algorithm, providing a quantitative basis for construction acceptance. Description of the Drawings

[0010] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are 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.

[0011] Figure 1 It is a flowchart of a method for continuously detecting the compaction quality of a reconstructed and expanded roadbed provided by an embodiment of the present invention; Figure 2 It is a structural block diagram of a system for continuously detecting the compaction quality of a reconstructed and expanded roadbed provided by an embodiment of the present invention; Figure 3 It is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. Detailed Embodiments

[0012] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0013] Please refer to Figure 1 , which shows a flowchart of a method for continuously detecting the compaction quality of a reconstructed and expanded roadbed in this application.

[0014] As Figure 1 shown, the method for continuously detecting the compaction quality of a reconstructed and expanded roadbed specifically includes the following steps: Step S101: Obtain at least one first acceleration signal of the vibratory drum shaft in a first area and at least one second acceleration signal in a second area, where the first area and the second area are two partially overlapping areas.

[0015] For example, the first area is the area covered when the vibratory drum shaft moves forward by x meters in the due east direction, and the second area is the area covered when the vibratory drum shaft moves backward by x meters in the due west direction. During the compaction of the roadbed, due to the artificial operation of the equipment where the vibratory drum shaft is located, the first area and the second area generated during the round trip will not completely overlap. Therefore, it is necessary to separately obtain at least one first acceleration signal of the vibratory drum shaft in the first area and at least one second acceleration signal in the second area, so as to facilitate subsequent analysis of the compaction quality of the roadbed in the fusion area.

[0016] Step S102: Analyze the at least one first acceleration signal and the at least one second acceleration signal respectively according to a preset signal processing strategy to obtain a first compaction degree corresponding to the at least one first acceleration signal and a second compaction degree corresponding to the at least one second acceleration signal.

[0017] In this step, perform Fourier transform on at least one first acceleration signal to obtain a first waveform ratio corresponding to the at least one first acceleration signal, where the first waveform ratio is the ratio of the amplitude corresponding to the first harmonic in the frequency domain of the first acceleration signal to the amplitude of the first fundamental wave; determine the first compaction degree corresponding to the at least one first acceleration signal in the first region according to each first waveform ratio; perform Fourier transform on at least one second acceleration signal to obtain a second waveform ratio corresponding to the at least one second acceleration signal, where the second waveform ratio is the ratio of the amplitude corresponding to the first harmonic in the frequency domain of the second acceleration signal to the amplitude of the second fundamental wave; determine the second compaction degree corresponding to the at least one second acceleration signal in the second region according to each second waveform ratio.

[0018] It should be noted that an accelerator detection device is installed at the position of the vibrating wheel axle, and the measured acceleration data is transmitted to a computer. After Fourier transformation, the ratio of the harmonic wave to the fundamental wave is determined, and then the calculation of the compaction degree is completed.

[0019] In a specific embodiment, it is assumed that the detection system includes three parts: a computer, a sensor, and a display, corresponding to an input unit, a processing unit, and an output unit respectively. The input unit mainly includes an acceleration sensor and a GPS on the vibrating wheel, which can transmit the acceleration signal during the driving process of the vibratory roller in real time; the processing unit includes a signal processing module, an A / D conversion module, and a signal analysis module; the output unit includes an on-board display system or a remote display system. It can calculate and output the compaction degree online in real time according to the acceleration signal. The expression is: , In the formula, is the compaction degree, is a constant, is the amplitude corresponding to the first harmonic in the frequency domain of the acceleration signal, is the amplitude of the fundamental wave.

[0020] Step S103: Sort each first compaction degree and each second compaction degree based on the chronological order to obtain a first compaction degree sequence and a second compaction degree sequence, and adopt a preset fusion strategy to fuse the first compaction degree sequence and the second compaction degree sequence according to the regional overlap range between the first region and the second region to obtain a target compaction degree sequence.

[0021] In this step, divide the first region evenly according to the number of first compaction degrees in the first compaction degree sequence to obtain at least one first sub-region, and sort the at least one first sub-region based on the chronological order of the positions of the at least one first sub-region to obtain a first sub-region sequence; Divide the second region evenly according to the number of the second compaction degrees in the second compaction degree sequence to obtain at least one second sub-region, and sort the at least one second sub-region according to the order of the positions of the at least one second sub-region to obtain a second sub-region sequence; Align the first sub-region sequence and the second sub-region sequence, and calculate the overlapping area of a certain region between a certain first sub-region and a certain second sub-region at the same certain position, and the area of a certain fusion sub-region, where the certain fusion sub-region is the region obtained by taking the union of a certain first sub-region and a certain second sub-region; Align the first compaction degree sequence and the second compaction degree sequence in reverse, and select a certain first compaction degree and a certain second compaction degree at the same certain position; Fuse the certain first compaction degree and the certain second compaction degree according to the overlapping area of the certain region and the area of the certain fusion sub-region to obtain a certain target compaction degree, that is, fuse the first compaction degree sequence and the second compaction degree sequence to obtain a target compaction degree sequence.

[0022] In this embodiment, the expression for calculating a certain target compaction degree is: , In the formula, is a certain target compaction degree, is the area of a certain fusion sub-region, is the overlapping area of a certain region, is a certain first compaction degree, is a certain second compaction degree.

[0023] For example, when the vibratory drum axle works in the due east direction, a series of acceleration signals are generated, so that a first compaction degree sequence A is obtained according to the chronological order. When the vibratory drum axle returns and works in the due west direction, a series of acceleration signals are generated, so that a first compaction degree sequence B is obtained according to the chronological order. When the vibratory drum axle travels back and forth in the due east direction and the due west direction, partially overlapping bandwidths are generated respectively, which are defined as bandwidth a and bandwidth b.

[0024] Among them, install a laser scanner or a three-dimensional imaging system behind or on the side of the vibratory drum axle to ensure that the scanning range covers the compaction width, so that bandwidth a and bandwidth b can obtain the surface three-dimensional topography data of the compaction area of the vibratory drum axle through laser scanning or structured light projection, and generate broadband images respectively containing bandwidth a and bandwidth b. Furthermore, high-speed cameras can also be symmetrically installed on both sides of the vibratory drum axle, with the viewing angle covering the entire compaction width, synchronously collect continuous images during the compaction process, and generate broadband images respectively containing bandwidth a and bandwidth b through existing image stitching algorithms.

[0025] In the expression of a certain target compaction degree mentioned above, since the lengths and widths of bandwidth a and bandwidth b are the same, the non-overlapping area of bandwidth a and bandwidth b is . For example, assume that the area after the fusion of bandwidth a and bandwidth b is 11, and the overlapping area of bandwidth a and bandwidth b is 9. Then the non-overlapping area on bandwidth a and the non-overlapping area on bandwidth b are both (11 - 9) / 2 = 1. It should be noted that the area after the fusion of bandwidth a and bandwidth b is 11, and the overlapping area of bandwidth a and bandwidth b can be obtained by inputting the bandwidth image into a preset two-dimensional coordinate system and acquiring the vertex coordinates of bandwidth a and bandwidth b in the bandwidth image, and calculating based on these vertex coordinates.

[0026] In the process of a specific embodiment, since there is an overlapping area between bandwidth a and bandwidth b, and this overlapping area is the area that has been repeatedly compacted, its compaction degree should be relatively reliable. However, the compaction degree of the non-overlapping area is not as reliable as that of the overlapping area. If the compaction degrees of bandwidth a and bandwidth b are directly averaged, it may cause the compaction degree of the fused area to be inaccurate. Therefore, using the expression of a certain target compaction degree mentioned above to calculate the compaction degree of the fused area can better improve the accuracy of the compaction degree of the fused area.

[0027] For example, the compaction degree of bandwidth a is 10%, and the compaction degree of bandwidth b is 12%. Then the calculation process of the compaction degree of the fused area is as follows: .

[0028] In this embodiment, according to the regional overlapping range between the first region and the second region, a preset fusion strategy is used to fuse the first compaction degree sequence and the second compaction degree sequence to obtain the target compaction degree sequence of the fused area. Compared with one-way detection, data fluctuations may be caused by factors such as equipment vibration, road surface unevenness, and sensor errors. After combining the compaction degrees of the round-trip ruts, random errors can be effectively offset through data averaging or filtering processing, making the compaction degree closer to the true value.

[0029] And theoretically, the compaction quality of the round-trip ruts should tend to be the same (if the construction is uniform). Combining and analyzing can compare the differences between the round-trip data and identify outliers (such as local under-compaction or over-compaction), avoiding misjudgment caused by one-way data deviation.

[0030] In an actual application scenario, during the construction of a highway subgrade, in a certain section, when one-way detection was used, it was found that the compaction degree of a certain area was low, but after combining the round-trip data, it was found that the compaction quality of this area was qualified, avoiding repeated rework.

[0031] Step S104, determine whether the difference between the first target compaction degree and the second target compaction degree in the target compaction degree sequence is greater than a first preset threshold, where the first target compaction degree and the second target compaction degree are any two target compaction degrees in the target compaction degree sequence.

[0032] In a specific embodiment, after determining whether the difference between the first target compaction degree and the second target compaction degree in the target compaction degree sequence is greater than the first preset threshold, if it is not greater than the first preset threshold, calculate the target compaction degree average value and the target compaction degree standard deviation according to each target compaction degree in the target compaction degree sequence. The expression for calculating the target compaction degree average value is: , In the formula, is the target compaction degree average value, is the i-th target compaction degree, is the total number of target compaction degrees in the target compaction degree sequence; The expression for calculating the target compaction degree standard deviation is: , In the formula, is the target compaction degree standard deviation; Determine the regional uniformity of the fusion region according to the target compaction degree average value and the target compaction degree standard deviation. The expression for calculating the regional uniformity is: , In the formula, is the regional uniformity of the fusion region.

[0033] Step S105, if it is greater than the first preset threshold, intercept the target compaction degree sequence according to a preset interception rule to obtain at least one target compaction degree subsequence, and determine the regional uniformity of the fusion region according to the at least one target compaction degree subsequence, where the fusion region is the region obtained by taking the union of the first region and the second region.

[0034] In this step, obtain the absolute value of the first difference between the first target compaction degree and the average value of other compaction degrees and the absolute value of the second difference between the second target compaction degree and the average value of other compaction degrees, where the average value of other compaction degrees is the average value of all target compaction degrees in the target compaction degree sequence except the first target compaction degree and the second target compaction degree; Determine whether the absolute value of the first difference and the absolute value of the second difference are greater than a second preset threshold; If the absolute values of both the first difference and the second difference are not greater than the second preset threshold, determine the first position of the first target compaction degree in the target compaction degree sequence and the second position of the second target compaction degree in the target compaction degree sequence; Using the first position as the last position in the sorting of the target compaction degree subsequence, intercept the target compaction degree sequence to obtain the first target compaction degree subsequence; Using the first position as the first position in the sorting of the target compaction degree subsequence and the second position as the last position in the sorting of the target compaction degree subsequence, intercept the target compaction degree sequence to obtain the second target compaction degree subsequence; Using the second position as the first position in the sorting of the target compaction degree subsequence, intercept the target compaction degree sequence to obtain the third target compaction degree subsequence; Determine the regional uniformity of the fusion region according to the first target compaction degree subsequence, the second target compaction degree subsequence, and the third target compaction degree subsequence.

[0035] It should be noted that determining the regional uniformity of the fusion region according to the first target compaction degree subsequence, the second target compaction degree subsequence, and the third target compaction degree subsequence includes: Calculate the average value of the target compaction degree and the standard deviation of the target compaction degree of the first target compaction degree subsequence, the second target compaction degree subsequence, and the third target compaction degree subsequence respectively; Determine the first regional sub-uniformity corresponding to the first target compaction degree subsequence, the second regional sub-uniformity corresponding to the second target compaction degree subsequence, and the third regional sub-uniformity corresponding to the third target compaction degree subsequence according to the average values of the respective target compaction degrees and the standard deviations of the respective target compaction degrees; The first regional sub-uniformity, the second regional sub-uniformity, and the third regional sub-uniformity are also calculated based on the average compaction degree and the standard deviation of the compaction degree of the subsequence, so they will not be repeated here.

[0036] Fuse the first regional sub-uniformity, the second regional sub-uniformity, and the third regional sub-uniformity according to the first length of the first target compaction degree subsequence, the second length of the second target compaction degree subsequence, and the third length of the third target compaction degree subsequence to obtain the regional uniformity of the fusion region. Among them, the expression for calculating the regional uniformity of the fusion region is: , In the formula, is the regional uniformity of the fusion region, is the first length of the first target compaction degree subsequence, is the second length of the second target compaction degree subsequence, is the third length of the third target compaction degree subsequence, is the first regional sub-uniformity, is the second regional sub-uniformity, is the third regional sub-uniformity.

[0037] In this embodiment, the target compaction degree sequence is divided into three subsequences (the first target compaction degree subsequence, the second target compaction degree subsequence, and the third target compaction degree subsequence) through an intercepting rule, which respectively correspond to the regions with large fluctuations in compaction quality (such as near abnormal compaction points). The average value and standard deviation of the compaction degree are calculated separately for each subsequence to quantify the discreteness of the local compaction quality, and the weak compaction links (such as the joint between the new and old roadbeds, the repair area) are accurately located. Thereby, the phenomenon that the overall uniformity evaluation is distorted due to local anomalies is reduced, and the sub-uniformities are weighted and fused according to the lengths of the subsequences (the first length, the second length, and the third length) to ensure that the uniformity analysis result of the fused region conforms to the actual compaction area distribution, and the accuracy of calculating the regional uniformity of the fused region can be improved.

[0038] In a specific embodiment, after determining whether the absolute value of the first difference and the absolute value of the second difference are greater than a second preset threshold, if the absolute value of the first difference or the absolute value of the second difference is greater than the second preset threshold, then determine the first position of the first target compaction degree in the target compaction degree sequence and the second position of the second target compaction degree in the target compaction degree sequence; and remove the target compaction degree at the first position or the second position to obtain at least one target compaction degree subsequence; determine the regional sub-uniformity corresponding to the at least one target compaction degree subsequence, and fuse the at least one regional sub-uniformity according to the lengths of the at least one target compaction degree subsequence to obtain the regional uniformity of the fused region.

[0039] It should be noted that by analogizing the at least one target compaction degree subsequence in this embodiment to the first target compaction degree subsequence, the second target compaction degree subsequence, and the third target compaction degree subsequence, the regional sub-uniformity of the at least one target compaction degree subsequence can be obtained in the same way, and then the regional uniformity of the fused region can be determined.

[0040] In summary, the method of the present application extracts the frequency-domain features of the acceleration signal by Fourier transform, quantifies the compaction degree through the waveform ratio, effectively filters out the time-domain noise interference, improves the objectivity and accuracy of compaction evaluation. Combining the compaction degree fusion strategy of the regional overlap range, it solves the problem of data redundancy in the overlapping area, ensures the continuity and consistency of the target compaction degree sequence, provides a reliable data basis for subsequent uniformity analysis, and generates subsequences based on the interception rule, calculates the local uniformity respectively. This technical means can accurately locate the weak links of compaction quality (such as the joint between the new and old roadbeds, the repaired area), avoid misjudgment of the overall quality caused by local defects. At the same time, through the subsequence length weighted fusion algorithm, it objectively reflects the compaction uniformity of the fusion area, providing a quantitative basis for construction acceptance.

[0041] Please refer to Figure 2 , which shows the structural block diagram of a continuous detection system for the compaction quality of reconstructed and expanded roadbeds in the present application.

[0042] As Figure 2 shown, the continuous detection system 200 for the compaction quality of reconstructed and expanded roadbeds includes an acquisition module 210, an analysis module 220, a fusion module 230, a judgment module 240, and a determination module 250.

[0043] Among them, an acquisition module 210 is configured to acquire at least one first acceleration signal of a vibrating wheel axle in a first region and at least one second acceleration signal in a second region, where the first region and the second region are two partially overlapping regions; an analysis module 220 is configured to analyze the at least one first acceleration signal and the at least one second acceleration signal respectively according to a preset signal processing strategy to obtain a first compaction degree corresponding to the at least one first acceleration signal and a second compaction degree corresponding to the at least one second acceleration signal; a fusion module 230 is configured to sort each first compaction degree and each second compaction degree respectively based on the chronological order to obtain a first compaction degree sequence and a second compaction degree sequence, and fuse the first compaction degree sequence and the second compaction degree sequence according to a preset fusion strategy based on the regional overlap range between the first region and the second region to obtain a target compaction degree sequence; a judgment module 240 is configured to judge whether the difference between a first target compaction degree and a second target compaction degree in the target compaction degree sequence is greater than a first preset threshold, where the first target compaction degree and the second target compaction degree are any two target compaction degrees in the target compaction degree sequence; a determination module 250 is configured to, if it is greater than the first preset threshold, intercept the target compaction degree sequence according to a preset interception rule to obtain at least one target compaction degree subsequence, and determine the regional uniformity of the fusion region according to the at least one target compaction degree subsequence, where the fusion region is the union region of the first region and the second region.

[0044] It should be understood that Figure 2 the modules described in Figure 1 correspond to the respective steps in the method described with reference to Figure 2 Therefore, the operations, features, and corresponding technical effects described above for the method also apply to

[0045] In some other embodiments, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the program instructions are executed by a processor, the processor is caused to execute the method for continuously detecting the compaction quality of a reconstructed subgrade in any of the above method embodiments; As an implementation manner, the computer-readable storage medium of the present invention stores computer-executable instructions, and the computer-executable instructions are set as: acquire at least one first acceleration signal of a vibrating wheel axle in a first region and at least one second acceleration signal in a second region, where the first region and the second region are two partially overlapping regions; Analyze the at least one first acceleration signal and the at least one second acceleration signal respectively according to a preset signal processing strategy to obtain a first compaction degree corresponding to the at least one first acceleration signal and a second compaction degree corresponding to the at least one second acceleration signal; Sort each first compaction degree and each second compaction degree respectively based on the chronological order to obtain a first compaction degree sequence and a second compaction degree sequence, and fuse the first compaction degree sequence and the second compaction degree sequence according to a preset fusion strategy based on the regional overlap range between the first region and the second region to obtain a target compaction degree sequence; Determine whether the difference between a first target compaction degree and a second target compaction degree in the target compaction degree sequence is greater than a first preset threshold, where the first target compaction degree and the second target compaction degree are any two target compaction degrees in the target compaction degree sequence; If it is greater than the first preset threshold, intercept the target compaction degree sequence according to a preset interception rule to obtain at least one target compaction degree subsequence, and determine the regional uniformity of the fusion region according to the at least one target compaction degree subsequence, where the fusion region is the union region of the first region and the second region.

[0046] A computer-readable storage medium may include a storage program area and a storage data area. Among them, the storage program area can store an operating system and application programs required for at least one function; the storage data area can store data created according to the use of the continuous detection system for the compaction quality of the reconstructed subgrade, etc. In addition, the computer-readable storage medium may include a high-speed random access memory, and may also include a memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices. In some embodiments, the computer-readable storage medium may optionally include a memory remotely provided with respect to the processor, and these remote memories may be connected to the continuous detection system for the compaction quality of the reconstructed subgrade through a network. Examples of the above network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0047] Figure 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention, as Figure 3 shown. The device includes: a processor 310 and a memory 320. The electronic device may further include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330, and the output device 340 may be connected through a bus or other means. Figure 3Take the bus connection as an example. The memory 320 is the above-mentioned computer-readable storage medium. The processor 310 executes various functional applications and data processing of the server by running the non-volatile software programs, instructions, and modules stored in the memory 320, that is, implements the method for continuously detecting the compaction quality of the reconstructed and expanded subgrade in the above method embodiment. The input device 330 can receive input digital or character information, and generate key signal inputs related to the user settings and function controls of the system for continuously detecting the compaction quality of the reconstructed and expanded subgrade. The output device 340 may include display devices such as a display screen.

[0048] The above electronic device can execute the method provided by the embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method. For technical details not described in detail in this embodiment, reference can be made to the method provided by the embodiment of the present invention.

[0049] As an implementation manner, the above electronic device is applied to the system for continuously detecting the compaction quality of the reconstructed and expanded subgrade and is used for the client, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can: Obtain at least one first acceleration signal in the first region and at least one second acceleration signal in the second region, wherein the first region and the second region are two partially overlapping regions; Analyze the at least one first acceleration signal and the at least one second acceleration signal respectively according to a preset signal processing strategy to obtain a first compaction degree corresponding to the at least one first acceleration signal and a second compaction degree corresponding to the at least one second acceleration signal; Sort each first compaction degree and each second compaction degree respectively based on the chronological order to obtain a first compaction degree sequence and a second compaction degree sequence, and fuse the first compaction degree sequence and the second compaction degree sequence according to the region overlap range between the first region and the second region by using a preset fusion strategy to obtain a target compaction degree sequence; Judge whether the difference between a first target compaction degree and a second target compaction degree in the target compaction degree sequence is greater than a first preset threshold, wherein the first target compaction degree and the second target compaction degree are any two target compaction degrees in the target compaction degree sequence; If it is greater than the first preset threshold, the target compaction degree sequence is intercepted according to a preset interception rule to obtain at least one target compaction degree subsequence, and the regional uniformity of the fusion region is determined according to the at least one target compaction degree subsequence, where the fusion region is the region obtained by taking the union of the first region and the second region.

[0050] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiments.

[0051] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present invention.

Claims

1. A continuous detection method for the compaction quality of reconstructed and expanded roadbeds, characterized in that, Including: Obtaining at least one first acceleration signal of the vibrating wheel shaft in a first region and at least one second acceleration signal in a second region, wherein the first region and the second region are two partially overlapping regions; Analyzing the at least one first acceleration signal and the at least one second acceleration signal respectively according to a preset signal processing strategy to obtain a first compaction degree corresponding to the at least one first acceleration signal and a second compaction degree corresponding to the at least one second acceleration signal; Sorting each first compaction degree and each second compaction degree respectively based on the chronological order to obtain a first compaction degree sequence and a second compaction degree sequence, and fusing the first compaction degree sequence and the second compaction degree sequence according to the overlapping range between the first region and the second region by using a preset fusion strategy to obtain a target compaction degree sequence; Judging whether the difference between a first target compaction degree and a second target compaction degree in the target compaction degree sequence is greater than a first preset threshold, wherein the first target compaction degree and the second target compaction degree are any two target compaction degrees in the target compaction degree sequence; If it is greater than the first preset threshold, intercepting the target compaction degree sequence according to a preset intercepting rule to obtain at least one target compaction degree subsequence, and determining the regional uniformity of the fusion region according to the at least one target compaction degree subsequence, wherein the fusion region is the union region of the first region and the second region.

2. The continuous detection method for the compaction quality of the reconstructed and expanded roadbed according to claim 1, wherein The analyzing the at least one first acceleration signal and the at least one second acceleration signal respectively according to a preset signal processing strategy to obtain a first compaction degree and a second compaction degree includes: Performing Fourier transform on the at least one first acceleration signal to obtain a first waveform ratio corresponding to the at least one first acceleration signal, wherein the first waveform ratio is the ratio of the amplitude corresponding to the first harmonic in the frequency domain of the first acceleration signal to the amplitude of the first fundamental wave; Determining the first compaction degree corresponding to the at least one first acceleration signal in the first region according to each first waveform ratio; Performing Fourier transform on the at least one second acceleration signal to obtain a second waveform ratio corresponding to the at least one second acceleration signal, wherein the second waveform ratio is the ratio of the amplitude corresponding to the first harmonic in the frequency domain of the second acceleration signal to the amplitude of the second fundamental wave; Determining the second compaction degree corresponding to the at least one second acceleration signal in the second region according to each second waveform ratio.

3. A continuous detection method for the compaction quality of a reconstructed subgrade according to claim 1, characterized in that, The fusing the first compaction degree sequence and the second compaction degree sequence according to the overlapping range between the first region and the second region by using a preset fusion strategy to obtain a target compaction degree sequence includes: Divide the first region evenly according to the number of the first compaction degrees in the first compaction degree sequence to obtain at least one first sub-region, and sort the at least one first sub-region based on the order of the positions of the at least one first sub-region to obtain a first sub-region sequence; Divide the second region evenly according to the number of the second compaction degrees in the second compaction degree sequence to obtain at least one second sub-region, and sort the at least one second sub-region based on the order of the positions of the at least one second sub-region to obtain a second sub-region sequence; Align the first sub-region sequence and the second sub-region sequence, and calculate the overlapping area of a certain region between a certain first sub-region and a certain second sub-region at the same certain position, and the area of a certain fusion sub-region, where the certain fusion sub-region is the region obtained by taking the union of a certain first sub-region and a certain second sub-region; Align the first compaction degree sequence and the second compaction degree sequence in reverse, and select a certain first compaction degree and a certain second compaction degree at the same certain position; Fuse the certain first compaction degree and the certain second compaction degree according to the overlapping area of the certain region and the area of the certain fusion sub-region to obtain a certain target compaction degree, that is, fuse the first compaction degree sequence and the second compaction degree sequence to obtain a target compaction degree sequence.

4. The continuous detection method for the compaction quality of the reconstructed and expanded roadbed according to claim 1, wherein After determining whether the difference between a first target compaction degree and a second target compaction degree in the target compaction degree sequence is greater than a first preset threshold, the method further includes: If it is not greater than the first preset threshold, calculate the average value of the target compaction degrees and the standard deviation of the target compaction degrees according to the respective target compaction degrees in the target compaction degree sequence; Determine the regional uniformity of the fusion region according to the average value of the target compaction degrees and the standard deviation of the target compaction degrees.

5. A continuous detection method for the compaction quality of an expanded and reconstructed roadbed according to claim 1, characterized in that, The obtaining at least one target compaction degree subsequence by intercepting the target compaction degree sequence according to a preset interception rule, and determining the regional uniformity of the fusion region according to the at least one target compaction degree subsequence includes: Obtain the absolute value of a first difference between the first target compaction degree and the average value of other compaction degrees and the absolute value of a second difference between the second target compaction degree and the average value of other compaction degrees, where the average value of other compaction degrees is the average value of all target compaction degrees in the target compaction degree sequence after removing the first target compaction degree and the second target compaction degree; Determine whether the absolute value of the first difference and the absolute value of the second difference are greater than a second preset threshold; If both the absolute value of the first difference and the absolute value of the second difference are not greater than the second preset threshold, determine the first position of the first target compaction degree in the target compaction degree sequence and the second position of the second target compaction degree in the target compaction degree sequence; Using the first position as the last position sorted in the target compaction degree subsequence, intercept the target compaction degree sequence to obtain a first target compaction degree subsequence; Using the first position as the first position sorted in the target compaction degree subsequence and the second position as the last position sorted in the target compaction degree subsequence, intercept the target compaction degree sequence to obtain a second target compaction degree subsequence; Using the second position as the first position sorted in the target compaction degree subsequence, intercept the target compaction degree sequence to obtain a third target compaction degree subsequence; Determine the regional uniformity of the fusion region according to the first target compaction degree subsequence, the second target compaction degree subsequence, and the third target compaction degree subsequence.

6. The continuous detection method for the compaction quality of a reconstructed and expanded roadbed according to claim 5, characterized in that, The determining the regional uniformity of the fusion region according to the first target compaction degree subsequence, the second target compaction degree subsequence, and the third target compaction degree subsequence includes: Calculate the average value of the target compaction degree and the standard deviation of the target compaction degree of the first target compaction degree subsequence, the second target compaction degree subsequence, and the third target compaction degree subsequence respectively; Determine a first regional sub-uniformity corresponding to the first target compaction degree subsequence, a second regional sub-uniformity corresponding to the second target compaction degree subsequence, and a third regional sub-uniformity corresponding to the third target compaction degree subsequence according to each average value of the target compaction degree and each standard deviation of the target compaction degree; Fuse the first regional sub-uniformity, the second regional sub-uniformity, and the third regional sub-uniformity according to the first length of the first target compaction degree subsequence, the second length of the second target compaction degree subsequence, and the third length of the third target compaction degree subsequence to obtain the regional uniformity of the fusion region, where the expression for calculating the regional uniformity of the fusion region is: , In the formula, is the regional uniformity of the fusion area, is the first length of the first target compaction degree subsequence, is the second length of the second target compaction degree subsequence, is the third length of the third target compaction degree subsequence, is the first regional sub-uniformity, is the second regional sub-uniformity, is the third regional sub-uniformity.

7. A continuous detection method for the compaction quality of an expanded and reconstructed roadbed according to claim 5, characterized in that, After determining whether the absolute value of the first difference and the absolute value of the second difference are greater than a second preset threshold, the method further includes: If the absolute value of the first difference or the absolute value of the second difference is greater than the second preset threshold, determine the first position of the first target compaction degree in the target compaction degree sequence and the second position of the second target compaction degree in the target compaction degree sequence; And remove the target compaction degree at the first position or the second position to obtain at least one target compaction degree subsequence; Determine the regional sub-uniformity corresponding to the at least one target compaction degree subsequence, and fuse the at least one regional sub-uniformity according to the length of the at least one target compaction degree subsequence to obtain the regional uniformity of the fusion region.

8. A continuous detection system for the compaction quality of reconstructed and expanded roadbeds, characterized in that, Includes: An acquisition module configured to acquire at least one first acceleration signal in a first region and at least one second acceleration signal in a second region of a vibratory drum shaft, where the first region and the second region are two partially overlapping regions; An analysis module, configured to analyze the at least one first acceleration signal and the at least one second acceleration signal respectively according to a preset signal processing strategy, so as to obtain a first compaction degree corresponding to the at least one first acceleration signal and a second compaction degree corresponding to the at least one second acceleration signal; A fusion module, configured to sort each first compaction degree and each second compaction degree respectively based on the chronological order, obtain a first compaction degree sequence and a second compaction degree sequence, and fuse the first compaction degree sequence and the second compaction degree sequence by using a preset fusion strategy according to the regional overlap range between the first region and the second region, so as to obtain a target compaction degree sequence; A judgment module, configured to judge whether the difference between a first target compaction degree and a second target compaction degree in the target compaction degree sequence is greater than a first preset threshold, wherein the first target compaction degree and the second target compaction degree are any two target compaction degrees in the target compaction degree sequence; A determination module, configured to, if it is greater than the first preset threshold, intercept the target compaction degree sequence according to a preset interception rule, obtain at least one target compaction degree subsequence, and determine the regional uniformity of the fusion region according to the at least one target compaction degree subsequence, wherein the fusion region is the union region of the first region and the second region.

9. An electronic device, characterized in that, Comprising: At least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, the method according to any one of claims 1 to 7 is implemented.

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