CN114517471A

CN114517471A - High-speed railway foundation effective hard layer detection method, device, equipment and readable storage medium

Info

Publication number: CN114517471A
Application number: CN202210414927.4A
Authority: CN
Inventors: 杨长卫; 童心豪; 苏珂
Original assignee: Southwest Jiaotong University
Current assignee: Southwest Jiaotong University
Priority date: 2022-04-20
Filing date: 2022-04-20
Publication date: 2022-05-20
Anticipated expiration: 2042-04-20
Also published as: CN114517471B

Abstract

The invention provides a method, a device, equipment and a readable storage medium for detecting an effective hard layer of a high-speed railway foundation, which relate to the technical field of high-speed railway foundation compaction and comprise the steps of sending an excitation command, wherein the excitation command controls at least three vibration wave exciters to sequentially generate an excitation wave command; acquiring first information, wherein the first information comprises response waves acquired by at least three detector groups, the number of the detector groups is equal to the number of the vibration wave exciters, each detector group corresponds to one vibration wave exciter at the same horizontal height, all the detector groups are positioned on the same roadbed cross section, the detector groups are arranged along the roadbed depth direction, and each detector group comprises at least four detectors horizontally arranged along the roadbed width direction; the effective hard layer thickness of the roadbed is identified according to the first information, and the detector is arranged in the high-speed rail roadbed along the depth direction, so that the detection depth of the compaction state of the roadbed is ensured, and the accuracy of the depth measurement is ensured.

Description

High-speed railway foundation effective hard layer detection method, device, equipment and readable storage medium

Technical Field

The invention relates to the technical field of high-speed railway foundation compaction, in particular to a high-speed railway foundation effective hard layer detection method, device, equipment and readable storage medium.

Background

The high-speed railway subgrade is used as a foundation in a high-speed railway subgrade structure, and along with the increase of mileage of high-speed railways in China, the compaction quality of the high-speed railway subgrade is very important for the operation safety of trains. In addition, for the quality detection of the compaction of the high-speed railway roadbed, the compaction quality of the detection is mainly surface detection by using detection methods such as conventional detection and continuous compaction indexes based on a vibratory roller. However, no quantitative analysis method in the depth direction is available in the prior art.

Disclosure of Invention

The invention aims to provide a high-speed railway foundation effective hard layer detection method, a device, equipment and a readable storage medium, so as to improve the problems. In order to achieve the purpose, the technical scheme adopted by the invention is as follows:

in a first aspect, the application provides a method for detecting an effective hard layer of a high-speed railway foundation, which comprises the following steps: sending an excitation command, wherein the excitation command controls at least three vibration wave exciters to sequentially generate excitation waves; acquiring first information, wherein the first information comprises response waves acquired by at least three detector groups, the number of the detector groups is equal to the number of the vibration wave exciters, each detector group corresponds to one vibration wave exciter at the same horizontal height, all the detector groups are positioned on the cross section of the same roadbed, the detector groups are arranged along the depth direction of the roadbed, and the detector groups comprise at least four detectors horizontally arranged along the width direction of the roadbed; and identifying to obtain the effective hard layer thickness of the roadbed according to the first information.

In a second aspect, the present application further provides a device for detecting an effective hard layer of a high-speed railway foundation, including: the second command sending unit is used for sending an excitation command, and the excitation command controls at least three vibration wave exciters to sequentially generate excitation waves; the first acquisition and sending unit is used for acquiring first information, the first information comprises response waves acquired by at least three detector groups, the number of the detector groups is equal to the number of the vibration wave exciters, each detector group corresponds to one vibration wave exciter at the same horizontal height, all the detector groups are positioned on the cross section of the same roadbed, the detector groups are arranged along the depth direction of the roadbed, and each detector group comprises at least four detectors horizontally arranged along the width direction of the roadbed; and the hard layer identification unit is used for identifying and obtaining the effective hard layer thickness of the roadbed according to the first information.

In a third aspect, the present application further provides a high-speed railway foundation effective hard layer detection device, including:

a memory for storing a computer program;

a processor for implementing the steps of the high-speed railway-based active hard layer detection method when executing the computer program.

In a fourth aspect, the present application further provides a readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the above-mentioned high-speed railway-based effective hard layer detection method.

The invention has the beneficial effects that:

the detector is arranged in the high-speed rail roadbed along the depth direction, so that the detection depth of the compaction state of the roadbed is ensured, and the accuracy of the depth measurement is ensured.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.

FIG. 1 is a schematic flow chart of a high-speed railway foundation effective hard layer detection method according to an embodiment of the invention;

FIG. 2 is a graph of a frequency spectrum of the acceleration signal 1 according to an embodiment of the present invention;

fig. 3 is a graph of a frequency spectrum of the acceleration signal 2 according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of a detector arrangement according to an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of an effective hard layer detection device for a high-speed railway foundation according to an embodiment of the invention;

fig. 6 is a schematic structural diagram of the high-speed railway foundation effective hard layer detection equipment in the embodiment of the invention.

Detailed Description

In order to make the objects, 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 drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.

Example 1:

the embodiment provides a high-speed railway foundation effective hard layer detection method.

Referring to fig. 1, it is shown that the method includes step S100, step S200, step S300, step S400, step S500, step S600 and step S700.

In the method, the content is mainly divided into two parts: firstly, the existence of the hard layer needs to be determined before the quantitative detection of the thickness of the hard layer, and then the thickness of the hard layer needs to be quantitatively analyzed. The step of checking the presence of the hard layer is S100 to S400. The quantitative analysis of the thickness of the hard layer is the steps S500-S700.

S100, sending a compaction command, wherein the compaction command comprises a command for controlling the vibratory roller to compact the roadbed.

S200, acquiring an acceleration time-course curve, wherein the acceleration time-course curve is acquired by an acceleration sensor, and the acceleration sensor is arranged on a vibration wheel of the vibration road roller.

S300, identifying and obtaining the existence state of the effective hard layer according to the acceleration time-course curve, wherein the existence state comprises existence or nonexistence.

S400, when the existing state exists, the existing state triggers sending of an excitation command and obtaining of first information.

In the above steps, step S100, the vibratory roller compacts the roadbed a plurality of times according to a predetermined compaction program. The acceleration time course curve in the subsequent step S200 is the acceleration time course curve of the last compaction pass.

In the method, the compaction process of the vibratory roller is monitored, and if a compacted roadbed generates a hard layer with a certain thickness, the hard layer can be fed back to the vibratory roller of the vibratory roller and can affect the movement of the vibratory roller to a certain extent. In particular over the change in acceleration. In the method, the existence of the effective hard layer of the compacted roadbed can be known by monitoring the condition that the compacted roadbed is fed back to the vibrating wheel of the vibrating road roller.

Specifically, step S300 of the method includes step S310, step S320, step S330, step S340, and step S350.

S310, performing trend item removing processing on the acceleration time course curve to obtain a roughly optimized acceleration time course curve;

it should be noted that, in this step, the trend term is eliminated by polynomial least squares, wherein the order of the eliminated trend term is 5.

S320, carrying out Fourier transform on the optimized acceleration time-course curve to obtain a frequency spectrum curve graph;

s330, identifying and obtaining the existence condition of the half-order harmonic according to the spectrum graph, wherein the existence state comprises existence or nonexistence;

and S340, when the existence condition exists, the existence condition triggers to mark the existence state of the effective hard layer as existence.

1/2 th harmonics appear in the spectrogram as the packing density increases by the above method. Thereby judging the existence of a hard layer in the rolling process.

Fig. 2 is a frequency spectrum curve of the acceleration signal 1, and fig. 3 is a frequency spectrum curve of the acceleration signal 2, which is a frequency spectrum curve obtained by fourier transform of two acceleration time-course curves. As can be seen from the figure: there is no 1/2 th harmonic generated in the frequency spectrum curve of the acceleration signal 1, i.e. no frequency spectrum amplitude exists around 10Hz and 1/2 th harmonic is generated in the frequency spectrum curve of the acceleration signal 2. The position at which the acceleration signal 2 is present is therefore a roadbed-compacting hard layer.

After detecting the existence of the hard layer, steps S500, S600 and S700 of the method are as follows:

s500, sending an excitation command, wherein the excitation command controls at least three vibration wave exciters to sequentially generate excitation waves;

it should be noted that, referring to fig. 4, in the present application, each of the vibration wave exciters is disposed outside the roadbed slope. While the detectors mentioned below are arranged in the roadbed at the loose-laying stage of the filling materials filled in the roadbed in a layered mode, the excitation waves generated in sequence in the application can effectively reduce the influence of different vibration wave exciters on different detector groups. Meanwhile, in the present application, a vibration wave exciter is used to excite a Rake wavelet.

S600, acquiring first information, wherein the first information comprises response waves acquired by at least three detector groups, the number of the detector groups is equal to the number of the vibration wave exciters, each detector group corresponds to one vibration wave exciter at the same horizontal height, all the detector groups are located on the same cross section of a roadbed, the detector groups are arranged along the depth direction of the roadbed, and each detector group comprises at least four detectors horizontally arranged along the width direction of the roadbed;

specifically, in the present embodiment, the detectors in each detector set are all horizontally arranged, so as to ensure that the paths are the same distance from the horizontal and are not distorted during the reception of the rake wavelet. Meanwhile, for those skilled in the art, the number of detectors in each group of detector groups can be distributed according to actual conditions, for example, detectors can be distributed less in a region far away from the ground due to a short horizontal width, and detectors can be distributed more in a region located at the bottom of a roadbed due to a long horizontal width. For example, in the present embodiment, there are a total of six detector groups, each detector group includes six detectors, and each detector group corresponds to one vibration wave generator.

S700, identifying and obtaining the effective hard layer thickness of the roadbed according to the first information.

In the method, the purpose of measuring the thickness of a hard layer in the roadbed is achieved by detecting the change of the wave velocity in the roadbed through a detector to replace the change of the elastic modulus in the physical and mechanical parameters of the filler.

Specifically, in some specific embodiments of the method, step S700 includes step S710, step S720, step S730, and step S740.

And S710, filtering the first information to obtain filtered first information.

S720, calculating one by one according to the first information after filtering processing to obtain the wave speed corresponding to the area where each detector is located.

And S730, acquiring the position information of each detector group.

And S740, calculating according to the position information of each detector group and the wave speed corresponding to each detector to obtain the effective hard layer thickness.

It should be noted that the wave velocity corresponding to the region where each detector is located mentioned in this step is the quotient of the distance between the current detector and the previous detector and the rake wavelet transfer time. Wherein the front detector is the detector through which the Rake wavelet passes first, and the current detector is the next detector through which the Rake wavelet passes.

The method for calculating the wave velocity in detail includes step S721, step S722, step S723, step S724, and step S725.

And S721, acquiring second information, wherein the second information comprises the distance between two adjacent detectors in the detector group and the distance between the head detector and the vibration wave exciter, and the head detector is the detector closest to the vibration wave exciter in the detector group.

It is understood that in this step, the distance between two adjacent detectors in a group of detector sets is obtained, and the distance between the head detector and the vibration wave exciter is also obtained. Taking the first row of detectors in this embodiment as an example, the distance between the detectors is 2m, and the distance between the head detector and the vibration wave exciter is also 2 m.

S722, identifying third information in the first information, wherein the third information comprises peak time corresponding to each detector in a group of detectors, and the peak time is peak appearance time in response waves corresponding to each detector;

it is understood that the peak occurrence time of each Rake wavelet is obtained in this step.

S723, acquiring a time-course curve of the excitation wave;

it is understood that the purpose of this step is to obtain the occurrence time of the peak in the time-course curve of the excitation wave by using the time-course curve of the excitation wave.

S724, calculating according to the time-course curve of the excitation wave and the third information to obtain fourth information, wherein the fourth information comprises peak time difference of two adjacent detectors and peak time difference between the head detector and the vibration wave exciter;

it can be understood that in this step, the time difference of the peaks is calculated according to the information of S723 and S724, and the time difference of the peaks of the adjacent detectors is 0.011S, 0.01S, 0.017S, 0.012S, and 0.013S, respectively, by taking the first row of detectors as an example in this embodiment to calculate the roadbed filling hard layer parameters of the single-layer detector.

And S725, calculating the wave velocity corresponding to the area where each detector in the group of detector groups is located according to the fourth information and the second information.

Immediately, the wave velocities between the adjacent detectors in the first row calculated according to the above information are 182m/s, 200m/s, 117m/s, 166m/s, 154m/s in this step.

The method for calculating the effective hard layer thickness in detail in step S740 includes step S741, step S722, and step S723.

S741, calculating to obtain the average wave velocity corresponding to each group of detectors according to the wave velocity corresponding to the area where each detector is located;

for ease of understanding, this implementation corresponding to the previous step counts 6 x 6 detectors, where the wave velocity of each set of detector groups is as follows:

that is, based on the above information, the average wave velocity of each detector group can be calculated sequentially from top to bottom: 164 m/s, 152 m/s, 154m/s, 100 m/s, 98 m/s and 82 m/s.

S742, identifying a hard layer thickness detector group and a non-hard layer thickness detector group according to the average wave speed corresponding to each detector group, wherein the hard layer thickness detector group and the non-hard layer thickness detector group are two adjacent detector groups, and the difference between the average wave speed corresponding to the hard layer thickness detector group and the average wave speed corresponding to the non-hard layer thickness detector group is larger than a preset threshold value.

It will be appreciated that at this step, the detector groups are divided into two groups according to the calculated average wave velocity of each detector group, wherein the division is based on the difference between the wave velocities of the adjacent detector groups. In the present embodiment, it is preferably 40 m/s. For those skilled in the art, other thresholds may be selected, and will not be described in detail herein.

And S743, calculating according to the position information corresponding to the hard layer thickness detector group to obtain the effective hard layer thickness.

In the present embodiment, the position information obtained in step S730 for each detector group may be the height above the ground or the altitude, or may be other position information that can indicate the distance between the two adjacent detector groups. That is, the effective hard layer thickness can be finally calculated to be the range of the front three sets of detectors from top to bottom, and if the distance between the two adjacent sets of detectors is 0.2m, the effective hard layer thickness is 0.6m in this embodiment.

In addition, the method belongs to a direct detection method for directly detecting the soil body parameters of the roadbed filling, and has higher precision compared with correlation and empirical judgment and analysis.

Example 2:

as shown in fig. 5, the present embodiment provides an effective hard layer detection device for a high-speed railway foundation, which includes:

and the second command sending unit 5 is used for sending an excitation command, and the excitation command controls at least three vibration wave exciters to sequentially generate excitation waves.

The first acquisition and sending unit 6 is used for acquiring first information, the first information comprises response waves acquired by at least three detector groups, the number of the detector groups is equal to the number of the vibration wave exciters, each detector group corresponds to one vibration wave exciter located at the same horizontal height, all the detector groups are located on the same roadbed cross section, the detector groups are arranged along the roadbed depth direction, and each detector group comprises at least four detectors horizontally arranged along the roadbed width direction.

And the hard layer identification unit 7 is used for identifying and obtaining the effective hard layer thickness of the roadbed according to the first information.

In some specific embodiments, the apparatus further comprises:

a first command transmitting unit 1 for transmitting compaction commands comprising commands for controlling the vibroroller to compact the subgrade.

And the second acquisition and sending unit 2 is used for acquiring an acceleration time-course curve, wherein the acceleration time-course curve is acquired by an acceleration sensor, and the acceleration sensor is arranged on a vibration wheel of the vibratory roller.

And the state identification unit 3 is used for identifying and obtaining the existence state of the effective hard layer according to the acceleration time-course curve, wherein the existence state comprises existence or nonexistence.

And the state trigger unit 4 is used for triggering the sending of the excitation command and the acquisition of the first information by the presence state when the presence state is present.

In some specific embodiments, the state identifying unit 3 includes:

and the optimizing unit 31 is configured to perform trend term removing processing on the acceleration time-course curve to obtain an optimized acceleration time-course curve.

And the fourier transform unit 32 is configured to perform fourier transform on the optimized acceleration time-course curve to obtain a frequency spectrum curve graph.

And an image identifying unit 33 for identifying the existence of the half harmonic according to the spectrum graph, wherein the existence state comprises existence or nonexistence.

And a checking trigger unit 34, which is used for triggering the existence condition to mark the existence state of the effective hard layer as existence when the existence condition is existence.

In some specific embodiments, the hard layer identification unit 7 includes:

and a filtering processing unit 71, configured to perform filtering processing on the first information to obtain filtered first information.

And the first calculating unit 72 is configured to calculate, one by one, a wave velocity corresponding to an area where each detector is located according to the filtered first information.

A third acquisition unit 73 for acquiring position information of each set of detector groups.

And the second calculating unit 74 is used for calculating the effective hard layer thickness according to the position information of each detector group and the wave speed corresponding to each detector.

In some specific embodiments, the first calculating unit 72 includes:

the fourth obtaining unit 721 is configured to obtain second information, where the second information includes a distance between two adjacent detectors in the detector group and a distance between the head detector and the vibration wave exciter, and the head detector is a detector closest to the vibration wave exciter in the detector group.

The peak identifying unit 722 is configured to identify third information from the first information, where the third information includes a peak time corresponding to each detector in a group of detectors, and the peak time is a peak occurrence time in a response wave corresponding to each detector.

A fifth obtaining unit 723, configured to obtain a time-course curve of the excitation wave.

And the third calculating unit 724 is configured to calculate fourth information according to the time-course curve of the excitation wave and the third information, where the fourth information includes a peak time difference between two adjacent detectors and a peak time difference between the head detector and the vibration wave exciter.

And the fourth calculating unit 725 is configured to calculate, according to the fourth information and the second information, a wave velocity corresponding to a region where each detector in the set of detector groups is located.

In some specific embodiments, the second calculating unit 74 includes:

a fifth calculating unit 741, configured to calculate an average wave velocity corresponding to each detector group according to the wave velocity corresponding to the region where each detector is located.

A dividing unit 742 for identifying the hard layer thickness detector group and the non-hard layer thickness detector group according to the average wave velocity corresponding to each detector group, the hard layer thickness detector group and the non-hard layer thickness detector group are two adjacent detector groups, and the difference between the average wave velocity corresponding to the hard layer thickness detector group and the average wave velocity corresponding to the non-hard layer thickness detector group is greater than a preset threshold value.

A sixth calculating unit 743 for calculating the effective hard layer thickness according to the position information corresponding to the hard layer thickness detector group.

It should be noted that, regarding the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated herein.

Example 3:

corresponding to the above method embodiment, the present embodiment further provides a high-speed railway foundation effective hard layer detection device, and the following description of the high-speed railway foundation effective hard layer detection device and the above-described high-speed railway foundation effective hard layer detection method may be referred to in correspondence.

FIG. 6 is a block diagram illustrating an efficient hard-bed detection apparatus 800 for a high-speed rail bed according to an exemplary embodiment. As shown in fig. 6, the high-speed railway-based active hard layer detection apparatus 800 may include: a processor 801, a memory 802. The high-speed rail based active hard layer detection apparatus 800 may further comprise one or more of a multimedia component 803, an I/O interface 804, and a communication component 805.

The processor 801 is configured to control the overall operation of the high-speed railway-based active hard layer detection apparatus 800, so as to complete all or part of the steps of the high-speed railway-based active hard layer detection method. The memory 802 is used to store various types of data to support operation of the high-speed rail based active hard layer detection device 800, such data may include, for example, instructions for any application or method operating on the high-speed rail based active hard layer detection device 800, as well as application related data, such as contact data, transceived messages, pictures, audio, video, and so forth. The Memory 802 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia components 803 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving an external audio signal. The received audio signal may further be stored in the memory 802 or transmitted through the communication component 805. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the high-speed railway-based active hard layer detection device 800 and other devices. Wireless communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding communication component 805 may include: Wi-Fi module, bluetooth module, NFC module.

In an exemplary embodiment, the high railbased active hard layer detection apparatus 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components for performing the above-described high railbased active hard layer detection method.

In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the high railway based active hard layer detection method described above is also provided. For example, the computer readable storage medium may be the memory 802 described above including program instructions executable by the processor 801 of the high-speed rail based active hard layer detection apparatus 800 to perform the high-speed rail based active hard layer detection method described above.

Example 4:

corresponding to the above method embodiment, a readable storage medium is also provided in this embodiment, and a readable storage medium described below and a high-speed railway-based effective hard layer detection method described above may be referred to correspondingly.

A readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the high-speed railway-based active hard layer detection method of the above-mentioned method embodiment.

The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, an optical disk, or other various readable storage media capable of storing program codes.

The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A high-speed railway foundation effective hard layer detection method is characterized by comprising the following steps:

sending an excitation command, wherein the excitation command controls at least three vibration wave exciters to sequentially generate excitation waves;

acquiring first information, wherein the first information comprises response waves acquired by at least three detector groups, the number of the detector groups is equal to the number of the vibration wave exciters, each detector group corresponds to one vibration wave exciter at the same horizontal height, all the detector groups are positioned on the cross section of the same roadbed, the detector groups are arranged along the depth direction of the roadbed, and the detector groups comprise at least four detectors horizontally arranged along the width direction of the roadbed;

and identifying to obtain the effective hard layer thickness of the roadbed according to the first information.

2. The high-speed rail active hard layer detection method according to claim 1, wherein said sending an excitation command is preceded by:

sending compaction commands, wherein the compaction commands comprise commands for controlling the vibratory roller to compact the roadbed;

acquiring an acceleration time-course curve, wherein the acceleration time-course curve is acquired by an acceleration sensor which is arranged on a vibration wheel of the vibratory roller;

identifying and obtaining the existence state of the effective hard layer according to the acceleration time-course curve, wherein the existence state comprises existence or nonexistence;

and when the existence state is existence, the existence state triggers the sending of the excitation command and the acquisition of the first information.

3. The method for detecting the effective hard layer of the high-speed railway foundation as claimed in claim 1, wherein the identifying the effective hard layer thickness of the roadbed according to the first information comprises:

filtering the first information to obtain the filtered first information;

calculating one by one according to the first information after filtering processing to obtain the wave speed corresponding to the area where each wave detector is located;

acquiring position information of each detector group;

and calculating to obtain the effective hard layer thickness according to the position information of each detector group and the wave velocity corresponding to each detector.

4. The method according to claim 3, wherein the excitation wave is a Rake wavelet, and the calculating the wave velocity corresponding to the region where each detector in each detector group is located one by one according to the first information after filtering comprises:

acquiring second information, wherein the second information comprises the distance between two adjacent detectors in the detector group and the distance between a head detector and the vibration wave exciter, and the head detector is the detector closest to the vibration wave exciter in the detector group;

identifying third information in the first information, wherein the third information comprises peak time corresponding to each detector in a group of detectors, and the peak time is peak occurrence time in the response wave corresponding to each detector;

acquiring a time-course curve of the excitation wave;

calculating to obtain fourth information according to the time-course curve of the excitation wave and the third information, wherein the fourth information comprises the peak time difference between two adjacent detectors and the peak time difference between the head detector and the vibration wave exciter;

and calculating to obtain the wave velocity corresponding to the region of each detector in the detector group according to the fourth information and the second information.

5. The utility model provides an effective hardback detection device of high railway bed which characterized in that includes:

the second command sending unit is used for sending an excitation command, and the excitation command controls at least three vibration wave exciters to sequentially generate excitation waves;

the first acquisition and sending unit is used for acquiring first information, the first information comprises response waves acquired by at least three detector groups, the number of the detector groups is equal to the number of the vibration wave exciters, each detector group corresponds to one vibration wave exciter at the same horizontal height, all the detector groups are positioned on the cross section of the same roadbed, the detector groups are arranged along the depth direction of the roadbed, and each detector group comprises at least four detectors horizontally arranged along the width direction of the roadbed;

and the hard layer identification unit is used for identifying and obtaining the effective hard layer thickness of the roadbed according to the first information.

6. The high-speed rail bed active hard layer detection apparatus of claim 5, further comprising:

a first command sending unit for sending compaction commands, the compaction commands comprising commands for controlling the vibratory roller to compact the subgrade;

the second acquisition and sending unit is used for acquiring an acceleration time-course curve, wherein the acceleration time-course curve is acquired by an acceleration sensor, and the acceleration sensor is arranged on a vibration wheel of the vibratory roller;

the state identification unit is used for identifying and obtaining the existence state of the effective hard layer according to the acceleration time-course curve, and the existence state comprises existence or nonexistence;

and the state trigger unit is used for triggering the sending of the excitation command and the acquisition of the first information by the presence state when the presence state is present.

7. The high-speed railway-based active hard layer detection device as claimed in claim 5, wherein the hard layer identification unit comprises:

the filtering processing unit is used for carrying out filtering processing on the first information to obtain filtered first information;

the first calculating unit is used for calculating the wave speed corresponding to the area where each detector is located one by one according to the first information after filtering;

a third acquisition unit configured to acquire position information of each detector group;

and the second calculation unit is used for calculating the effective hard layer thickness according to the position information of each detector group and the wave speed corresponding to each detector.

8. The high-speed railway-based active hard layer detection device as claimed in claim 7, wherein the first calculation unit comprises:

the fourth acquisition unit is used for acquiring second information, the second information comprises the distance between two adjacent detectors in the detector group and the distance between the head detector and the vibration wave exciter, and the head detector is the detector closest to the vibration wave exciter in the detector group;

the wave crest identification unit is used for identifying and obtaining third information in the first information, the third information comprises wave crest time corresponding to each detector in a group of detector groups, and the wave crest time is the wave crest occurrence time in the response wave corresponding to each detector;

the fifth acquisition unit is used for acquiring a time-course curve of the excitation wave;

the third calculation unit is used for calculating fourth information according to the time-course curve of the excitation wave and the third information, wherein the fourth information comprises peak time difference of two adjacent detectors and peak time difference between the head detector and the vibration wave exciter;

and the fourth calculating unit is used for calculating to obtain the wave speed corresponding to the area where each detector in the group of detector groups is located according to the fourth information and the second information.

9. An effective hard layer check out test set of high way foundation, its characterized in that includes:

a memory for storing a computer program;

a processor for implementing the steps of the high-speed railway-based active hard layer detection method according to any one of claims 1 to 4 when executing the computer program.

10. A readable storage medium, characterized by: the readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the high railway based active hard layer detection method according to any one of claims 1 to 4.