Full-wavelength ballastless track irregularity spectrum characterization method and device

Abstract

The present invention discloses a method and device for characterizing the irregularity spectrum of a full-wavelength ballastless track, the method comprising: obtaining first data of the ballastless track collected by a corrugation test vehicle, the first data targeting the short-wave component of the full-wavelength irregularity; obtaining second data of the ballastless track collected by a high-speed comprehensive detection train, the second data targeting the medium- and long-wave components of the full-wavelength irregularity; fitting the first data to obtain a short-wave irregularity spectrum; calculating the medium- and long-wave irregularity spectrum corresponding to the second data; fitting the short-wave smoothness spectrum and the long-wave smoothness spectrum to obtain full-wavelength irregularity spectrum characterization data. The present invention can realize the characterization of the irregularity spectrum of the full-wavelength ballastless track with high accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of railway tracks, and in particular to a full-wavelength ballastless track unevenness spectrum characterization method and device. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the invention recited in the claims. No admission is made that the description herein is prior art by inclusion in this section.

[0003] In high-speed railway systems, tracks are the key carriers supporting train operation. The geometric irregularities of tracks will aggravate the dynamic interaction between vehicles and tracks, shorten the maintenance cycle and service life of train and track structures, and even affect the safety and stability of high-speed driving. Therefore, scientifically and accurately evaluating the track smoothness is an inevitable requirement for maintaining the service performance of high-speed railway tracks. Among various track smoothness evaluation methods, the track roughness spectrum, as an indicator that describes the change of track smoothness with spatial frequency, is an effective tool for characterizing the amplitude-frequency characteristics of track roughness.

[0004] Track irregularity spectra are mostly obtained by fitting test data from large-scale detection equipment such as track inspection vehicles, and are applicable to medium and long-wave irregularities with a wavelength of more than 2m.

[0005] Limited by the detection means, it is difficult for high-speed comprehensive detection trains to accurately measure short-wave irregularities with a wavelength below 2m. In recent years, with the increase in the operation period of high-speed railways, the geometric state of existing high-speed railway tracks has gradually changed, and there is still a lack of track irregularity spectra that can accurately describe the current track geometric state; at the same time, facing the requirements of higher operating speeds for future high-speed railways, it has become an urgent basic theoretical research to propose a full-wavelength track spectrum that can characterize the current high-speed railway track geometric state. However, no research has yet proposed a full-wavelength track irregularity spectrum that can simultaneously consider medium- and long-wave and short-wave components. Summary of the invention

[0006] The embodiment of the present invention provides a full-wavelength ballastless track unevenness spectrum characterization method, which is used to achieve full-wavelength ballastless track unevenness spectrum characterization with high accuracy. The method includes:

[0007] Obtaining first data of the ballastless track collected by a corrugation test vehicle, wherein the first data is for a component of the full-wavelength irregularity that is a short-wave component;

[0008] Obtaining second data of the ballastless track collected by a high-speed comprehensive inspection train, wherein the second data is for the components of the full-wavelength unevenness being medium and long waves;

[0009] Fitting the first data to obtain a shortwave uneven spectrum;

[0010] Calculate the medium and long wave unevenness spectrum corresponding to the second data;

[0011] The short-wave smooth spectrum and long-wave smooth spectrum are fitted to obtain the full-wavelength uneven spectrum characterization data.

[0012] The embodiment of the present invention provides a full-wavelength ballastless track unevenness spectrum characterization device, which is used to achieve full-wavelength ballastless track unevenness spectrum characterization with high accuracy. The device includes:

[0013] The module for obtaining the short-wave irregularity component is used to obtain the first data of the ballastless track collected by the corrugation test vehicle, wherein the first data is for the short-wave component of the full-wavelength irregularity;

[0014] The module for obtaining the medium and long wave components of the unevenness obtains the second data of the ballastless track collected by the high-speed comprehensive inspection train, wherein the second data is for the medium and long wave components of the full-wavelength unevenness;

[0015] A shortwave roughness spectrum acquisition module, used for fitting the first data to obtain a shortwave roughness spectrum;

[0016] A medium- and long-wave unevenness spectrum obtaining module is used to calculate the medium- and long-wave unevenness spectrum corresponding to the second data;

[0017] The full-wavelength uneven spectrum characterization data acquisition module is used to fit the short-wave smooth spectrum and the long-wave smooth spectrum to obtain the full-wavelength uneven spectrum characterization data.

[0018] An embodiment of the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned full-wavelength ballastless track irregularity spectrum characterization method when executing the computer program.

[0019] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned full-wavelength ballastless track irregularity spectrum characterization method is implemented.

[0020] An embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the above-mentioned full-wavelength ballastless track irregularity spectrum characterization method is implemented.

[0021] In an embodiment of the present invention, the first data of the ballastless track collected by the corrugation test vehicle is obtained, and the first data is for the short-wave component of the full-wavelength unevenness; the second data of the ballastless track collected by the high-speed comprehensive inspection train is obtained, and the second data is for the medium- and long-wave components of the full-wavelength unevenness; the first data is fitted to obtain the short-wave unevenness spectrum; the medium- and long-wave unevenness spectrum corresponding to the second data is calculated; the short-wave smoothness spectrum and the long-wave smoothness spectrum are fitted to obtain the full-wavelength unevenness spectrum characterization data. In the above process, the short-wave unevenness spectrum and the medium- and long-wave unevenness spectrum of the ballastless track are obtained, and thus the full-wavelength unevenness spectrum characterization data is obtained through fitting, with high accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0023] Figure 1 It is a flow chart of a method for characterizing the irregularity spectrum of a full-wavelength ballastless track in an embodiment of the present invention;

[0024] Figure 2 It is a comparison diagram of the medium and long wave unevenness spectrum and the short wave unevenness spectrum in the embodiment of the present invention and various standard spectra;

[0025] Figure 3 Schematic diagram of the correlation coefficient of the full-wavelength uneven fitting spectrum in an embodiment of the present invention;

[0026] Figure 4 Schematic diagram of the full-wavelength unevenness fitting spectrum of the high-speed railway ballastless track in an embodiment of the present invention;

[0027] Figure 5 Schematic diagram of a full-wavelength ballastless track unevenness spectrum characterization device according to an embodiment of the present invention Figure 1 ;

[0028] Figure 6 Schematic diagram of a full-wavelength ballastless track unevenness spectrum characterization device according to an embodiment of the present invention Figure 2 ;

[0029] Figure 7 Schematic diagram of a computer device in an embodiment of the present invention. DETAILED DESCRIPTION

[0030] To make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0031] Figure 1 is a full-wavelength ballastless track unevenness spectrum characterization method in an embodiment of the present invention, such as Figure 1 As shown, the method includes:

[0032] Step 101, obtaining first data of the ballastless track collected by a corrugation test vehicle, wherein the first data is for the short-wave component of the full-wavelength irregularity;

[0033] Step 102, obtaining second data of the ballastless track collected by the high-speed comprehensive inspection train, wherein the second data is for the components of the full-wavelength irregularity being medium and long waves;

[0034] Step 103, fitting the first data to obtain a shortwave uneven spectrum;

[0035] Step 104, calculating the medium and long wave unevenness spectrum corresponding to the second data;

[0036] Step 105 , fitting the short-wave smooth spectrum and the long-wave smooth spectrum to obtain full-wavelength uneven spectrum characterization data.

[0037] In the embodiment of the present invention, the short-wave irregularity spectrum and the medium- and long-wave irregularity spectrum of the ballastless track are obtained, and thus the full-wavelength irregularity spectrum characterization data is obtained through fitting with high accuracy.

[0038] In step 101, first data of the ballastless track collected by a corrugation test vehicle is obtained, wherein the first data is for the short-wave component of the full-wavelength irregularity;

[0039] Shortwave refers to the waveband below 1m; the corrugation test vehicle has high reliability in detecting shortwave irregularities on the rail surface with a wavelength below 1m.

[0040] In step 102, second data of the ballastless track collected by the high-speed comprehensive inspection train is obtained, wherein the second data is for the components of the full-wavelength irregularity being medium and long waves;

[0041] The medium and long waves are in the 2m to 100m band, and the high-speed comprehensive inspection train can output the unevenness in the 1.5 to 120m band. Considering that the signal output is greatly attenuated near the cut-off wavelength, the medium and long wave unevenness analysis band is set to 2m to 100m to ensure the reliability of the data in this band. Therefore, the components of the full wavelength unevenness in the 2 to 100m band (medium and long waves) use the data collected by the high-speed comprehensive inspection train.

[0042] In one embodiment, the structural types of the ballastless track include CRTSⅠ type slab type, CRTSⅡ type slab type, CRTSⅢ type slab type and double-block type.

[0043] In step 103, the first data is fitted to obtain a shortwave roughness spectrum;

[0044] In one embodiment, fitting the first data to obtain a shortwave roughness spectrum includes:

[0045] The first data is fitted with a piecewise power function to obtain a shortwave uneven spectrum.

[0046] In step 104, a medium- and long-wavelength unevenness spectrum corresponding to the second data is calculated;

[0047] In one embodiment, calculating the medium and long wave unevenness spectrum corresponding to the second data includes:

[0048] The medium and long wave irregularity spectrum corresponding to the second data is calculated using the modified periodogram method.

[0049] In one embodiment, before using the modified periodogram method to calculate the medium and long wave unevenness spectrum corresponding to the second data, the method further includes:

[0050] Eliminate abnormal values ​​from the second data according to a preset limit of the track irregularity change rate;

[0051] The modified periodogram method is used to calculate the medium and long wave unevenness spectrum corresponding to the second data, including:

[0052] The second data after the outliers are removed is calculated to obtain the medium and long wave unevenness spectrum.

[0053] Among them, the preset limit value can be 3‰. When the modified periodogram method is used for calculation, the calculation unit length is 1024m.

[0054] The medium and long wave irregularity spectrum and the short wave irregularity spectrum are plotted together with the standard spectra. Figure 2 In. By Figure 2 It can be seen that for medium and long wave irregularities, the random irregularity state of CRTSⅢ slab ballastless track is the best, and the random irregularity state of CRTSⅠ slab ballastless track is the worst. The random irregularity states of CRTSⅡ slab and double-block ballastless tracks are equivalent, and both are between CRTSⅠ and CRTSⅢ slab ballastless tracks in most bands, and are most similar to the spectrum of high-speed railway ballastless track.

[0055] The medium and long wave irregularity spectra of the four structural types of ballastless tracks at a wavelength of 2 m range from 0.99×10 -2 ~2.38×10 -2 mm 2 m -1The short-wave irregularity mean spectrum has a spectrum value of 0.34×10 -2 mm 2 m -1 , slightly smaller than the spectrum value of the long-wave unevenness spectrum at 2 m, which conforms to the objective law that the spectrum value decreases gradually from large to small. The medium- and long-wave unevenness spectra of the four ballastless tracks can smoothly transition with the short-wave unevenness spectra between wavelengths of 1 and 2 m. For comparison, the upper and lower limit spectra of the existing Sato spectrum and the spectrum value of the Wang Lan spectrum at 1 m are 53.69×10 -2 mm 2 ·m -1 4.50×10 -2 mm 2 ·m -1 and 3.88×10 -2 mm 2· m -1 , are both greater than the maximum value of the long-wave irregularity spectrum at 2m, 2.38×10 -2 mm 2 ·m -1 There will be a jump in the transition between the long-wave and short-wave spectra, which indirectly shows that the representative wheel-rail joint roughness spectrum (Sato spectrum) and the 50kg / m steel rail conventional railway track surface roughness spectrum (Wang Lan spectrum) cannot effectively reflect the actual situation of the short-wave unevenness of the high-speed railway track surface.

[0056] In step 105, the short-wave smooth spectrum and the long-wave smooth spectrum are fitted to obtain full-wavelength uneven spectrum characterization data.

[0057] At present, the common forms of orbital spectra are mainly power functions, or multi-parameter fitting formulas formed by power function combinations. However, for the full-wavelength unevenness spectrum, the wavelength coverage is wider, which is 2 orders of magnitude wider than the existing orbital spectrum. In addition, the full-wavelength unevenness spectrum has many fluctuations, and the use of conventional fitting formulas may generate many fitting parameters, which is not convenient to use.

[0058] For this reason, in the embodiment of the present invention, a high-order polynomial is used to fit the full wavelength unevenness spectrum in the wavelength range of 0.002 to 100 m. The specific fitting method is as follows.

[0059] In one embodiment, the short-wave smooth spectrum and the long-wave smooth spectrum are fitted to obtain full-wavelength uneven spectrum characterization data, including:

[0060] The medium and long wave irregularity spectra of ballastless tracks of various structural types are combined to obtain the medium and long wave irregularity mean spectrum of the ballastless track; the medium and long wave irregularity mean spectrum is converted into a double logarithmic coordinate system and then resampled at equal intervals to obtain first sampling data of the medium and long wave irregularity mean spectrum; the first sampling data is subjected to peak elimination processing to retain the medium and long wave irregularity mean spectrum within a first preset range;

[0061] The short-wave irregularity spectra of ballastless tracks of various structural types are combined to obtain the short-wave irregularity mean spectrum of the ballastless track; the short-wave irregularity mean spectrum is converted into a double logarithmic coordinate system and then resampled at equal intervals to obtain second sampling data of the short-wave irregularity mean spectrum; the second sampling data is subjected to peak elimination processing to retain the short-wave irregularity mean spectrum within a second preset range;

[0062] After merging the medium- and long-wavelength roughness mean spectrum in the first preset range and the medium- and long-wavelength roughness mean spectrum in the second preset range, high-order polynomial fitting is adopted to obtain full-wavelength roughness spectrum characterization data.

[0063] In one embodiment, the high-order polynomial is expressed as follows:

[0064] q=a0+a1p+a2p 2 +…+a n p n

[0065] Where: n is the order of the high-order polynomial; a0,…,a n is the characteristic term of the high-order polynomial; p and q are the spatial frequency and full-wavelength uneven spectrum in the logarithmic coordinate system, respectively.

[0066] In one embodiment, a high-order polynomial is used for fitting, including:

[0067] The Levenberg-Marquardt nonlinear least squares optimization algorithm is used to solve the high-order polynomial characteristic terms.

[0068] In order to find a suitable high-order polynomial order, the order is taken from 2 to 9, and the correlation coefficient of the full-wavelength uneven fitting spectrum is calculated as follows: Figure 3 As shown in the figure, the correlation coefficient increases with the increase of the order. When the order reaches 5, the correlation coefficient changes slowly, indicating that the higher order no longer significantly improves the fitting effect. In order to simplify the fitting spectrum, the order of the high-order polynomial is taken as 5, and the fitting parameters are shown in Table 1.

[0069] Table 1 Coefficients of fitting formula for full-wavelength unevenness spectrum of high-speed railway ballastless track

[0070]

[0071] By the above fitting method, the full-wavelength unevenness fitting spectrum of high-speed railway ballastless track is obtained, as shown in Figure 4 As shown by Figure 4 It can be seen that the use of the 5th-order high-order polynomial fitting spectrum well reflects the changing trend of the random components of the full-wavelength uneven spectrum, and enables a smooth transition between medium and long waves and short waves in the overlapping band of 1m to 2m.

[0072] In summary, in the method proposed in the embodiment of the present invention, the first data of the ballastless track collected by the corrugation test car is obtained, and the first data is for the short-wave component of the full-wavelength unevenness; the second data of the ballastless track collected by the high-speed comprehensive inspection train is obtained, and the second data is for the medium- and long-wave components of the full-wavelength unevenness; the first data is fitted to obtain the short-wave unevenness spectrum; the medium- and long-wave unevenness spectrum corresponding to the second data is calculated; the short-wave smoothness spectrum and the long-wave smoothness spectrum are fitted to obtain the full-wavelength unevenness spectrum characterization data. In the above process, the short-wave unevenness spectrum and the medium- and long-wave unevenness spectrum of the ballastless track are obtained, and thus the full-wavelength unevenness spectrum characterization data is obtained through fitting, with high accuracy.

[0073] The embodiment of the present invention further proposes a full-wavelength ballastless track irregularity spectrum characterization device, the principle of which is similar to the full-wavelength ballastless track irregularity spectrum characterization method, which will not be repeated here.

[0074] Figure 5 Schematic diagram of a full-wavelength ballastless track unevenness spectrum characterization device according to an embodiment of the present invention Figure 1 ,include:

[0075] The module 501 for obtaining the short-wave component of irregularity is used to obtain the first data of the ballastless track collected by the corrugation test vehicle, wherein the first data is for the short-wave component of the full-wavelength irregularity;

[0076] The module 502 for obtaining medium and long wave components of irregularities obtains second data of the ballastless track collected by the high-speed comprehensive inspection train, wherein the second data is for the medium and long wave components of the full-wavelength irregularities;

[0077] A shortwave roughness spectrum obtaining module 503 is used to fit the first data to obtain a shortwave roughness spectrum;

[0078] A medium and long wave irregularity spectrum obtaining module 504 is used to calculate the medium and long wave irregularity spectrum corresponding to the second data;

[0079] The full-wavelength uneven spectrum characterization data acquisition module 505 is used to fit the short-wave smooth spectrum and the long-wave smooth spectrum to obtain the full-wavelength uneven spectrum characterization data.

[0080] In one embodiment, the shortwave uneven spectrum obtaining module is specifically used for:

[0081] The first data is fitted with a piecewise power function to obtain a shortwave uneven spectrum.

[0082] In one embodiment, the module for obtaining the medium and long wave uneven spectrum is specifically used for:

[0083] The medium and long wave irregularity spectrum corresponding to the second data is calculated using the modified periodogram method.

[0084] Figure 6 Schematic diagram of a full-wavelength ballastless track unevenness spectrum characterization device according to an embodiment of the present invention Figure 2 In one embodiment, the device further comprises a preprocessing module 601, which is used to:

[0085] Before calculating the medium and long wave irregularity spectrum corresponding to the second data by using the modified periodogram method, outliers are removed from the second data according to a preset limit value of the track irregularity change rate;

[0086] The medium and long wave unevenness spectrum acquisition module is specifically used to calculate the second data after the abnormal values ​​are removed to obtain the medium and long wave unevenness spectrum.

[0087] In one embodiment, the structural types of the ballastless track include CRTSⅠ type slab type, CRTSⅡ type slab type, CRTSⅢ type slab type and double-block type.

[0088] In one embodiment, the full-wavelength uneven spectrum characterization data acquisition module is specifically used for:

[0089] The medium and long wave irregularity spectra of ballastless tracks of various structural types are combined to obtain the medium and long wave irregularity mean spectrum of the ballastless track; the medium and long wave irregularity mean spectrum is converted into a double logarithmic coordinate system and then resampled at equal intervals to obtain first sampling data of the medium and long wave irregularity mean spectrum; the first sampling data is subjected to peak elimination processing to retain the medium and long wave irregularity mean spectrum within a first preset range;

[0090] The short-wave irregularity spectra of ballastless tracks of various structural types are combined to obtain the short-wave irregularity mean spectrum of the ballastless track; the short-wave irregularity mean spectrum is converted into a double logarithmic coordinate system and then resampled at equal intervals to obtain second sampling data of the short-wave irregularity mean spectrum; the second sampling data is subjected to peak elimination processing to retain the short-wave irregularity mean spectrum within a second preset range;

[0091] After merging the medium- and long-wavelength roughness mean spectrum in the first preset range and the medium- and long-wavelength roughness mean spectrum in the second preset range, high-order polynomial fitting is adopted to obtain full-wavelength roughness spectrum characterization data.

[0092] In one embodiment, the high-order polynomial is expressed as follows:

[0093] q=a0+a1p+a2p 2 +…+an p n

[0094] Where: n is the order of the high-order polynomial; a0,…,a n is the characteristic term of the high-order polynomial; p and q are the spatial frequency and full-wavelength uneven spectrum in the logarithmic coordinate system, respectively.

[0095] In one embodiment, the full-wavelength uneven spectrum characterization data acquisition module is specifically used for:

[0096] The Levenberg-Marquardt nonlinear least squares optimization algorithm is used to solve the high-order polynomial characteristic terms.

[0097] In one embodiment, the order of the high-order polynomial is 5.

[0098] In summary, in the device proposed in the embodiment of the present invention, the first data of the ballastless track collected by the corrugation test car is obtained, and the first data is for the short-wave component of the full-wavelength unevenness; the second data of the ballastless track collected by the high-speed comprehensive inspection train is obtained, and the second data is for the medium- and long-wave components of the full-wavelength unevenness; the first data is fitted to obtain the short-wave unevenness spectrum; the medium- and long-wave unevenness spectrum corresponding to the second data is calculated; the short-wave smoothness spectrum and the long-wave smoothness spectrum are fitted to obtain the full-wavelength unevenness spectrum characterization data. In the above process, the short-wave unevenness spectrum and the medium- and long-wave unevenness spectrum of the ballastless track are obtained, and thus the full-wavelength unevenness spectrum characterization data is obtained through fitting, with high accuracy.

[0099] An embodiment of the present invention further provides a computer device, Figure 7 Schematic diagram of a computer device in an embodiment of the present invention, the computer device 700 includes a memory 710, a processor 720, and a computer program 730 stored in the memory 710 and executable on the processor 720, and the processor 720 implements the above-mentioned full-wavelength ballastless track irregularity spectrum characterization method when executing the computer program 730.

[0100] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned full-wavelength ballastless track irregularity spectrum characterization method is implemented.

[0101] An embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the above-mentioned full-wavelength ballastless track irregularity spectrum characterization method is implemented.

[0102] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0103] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0104] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0105] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0106] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A full-wavelength ballastless track irregularity spectrum characterization method, characterized in that: include: Obtaining first data of the ballastless track collected by a corrugation test vehicle, wherein the first data is for a component of the full-wavelength irregularity that is a short-wave component; Obtaining second data of the ballastless track collected by a high-speed comprehensive inspection train, wherein the second data is for the components of the full-wavelength unevenness being medium and long waves; Fitting the first data to obtain a shortwave uneven spectrum; Calculate the medium and long wave unevenness spectrum corresponding to the second data; Fit the short-wavelength roughness spectrum and the medium- and long-wavelength roughness spectrum to obtain the full-wavelength roughness spectrum characterization data; Fit the shortwave roughness spectrum and the medium and long wave roughness spectrum to obtain the full wavelength roughness spectrum characterization data, including: The medium and long wave irregularity spectra of ballastless tracks of various structural types are combined to obtain the medium and long wave irregularity mean spectrum of the ballastless track; the medium and long wave irregularity mean spectrum is converted into a double logarithmic coordinate system and then resampled at equal intervals to obtain first sampling data of the medium and long wave irregularity mean spectrum; the first sampling data is subjected to peak elimination processing to retain the medium and long wave irregularity mean spectrum within a first preset range; The short-wave irregularity spectra of ballastless tracks of various structural types are combined to obtain the short-wave irregularity mean spectrum of the ballastless track; the short-wave irregularity mean spectrum is converted into a double logarithmic coordinate system and then resampled at equal intervals to obtain second sampling data of the short-wave irregularity mean spectrum; the second sampling data is subjected to peak elimination processing to retain the short-wave irregularity mean spectrum within a second preset range; After merging the medium- and long-wavelength roughness mean spectrum in the first preset range and the medium- and long-wavelength roughness mean spectrum in the second preset range, high-order polynomial fitting is adopted to obtain full-wavelength roughness spectrum characterization data.

2. The method according to claim 1, characterized in that Fitting the first data to obtain a shortwave uneven spectrum includes: The first data is fitted with a piecewise power function to obtain a shortwave uneven spectrum.

3. The method according to claim 1, characterized in that Calculate the medium and long wave unevenness spectrum corresponding to the second data, including: The medium and long wave irregularity spectrum corresponding to the second data is calculated using the modified periodogram method.

4. The method according to claim 3, characterized in that Before using the modified periodogram method to calculate the medium and long wave unevenness spectrum corresponding to the second data, the method also includes: Eliminate abnormal values ​​from the second data according to a preset limit of the track irregularity change rate; The modified periodogram method is used to calculate the medium and long wave unevenness spectrum corresponding to the second data, including: The second data after the outliers are removed is calculated to obtain the medium and long wave unevenness spectrum.

5. The method according to claim 1, characterized in that The structural types of ballastless track include CRTSⅠ type slab type, CRTSⅡ type slab type, CRTSⅢ type slab type and double-block type.

6. The method according to claim 1, characterized in that The high-order polynomial is expressed as follows: q=a0+a1p+a2p 2 +···+a n p n Where: n is the order of the high-order polynomial; a0,…,a n is the characteristic term of the high-order polynomial; p and q are the spatial frequency and full-wavelength uneven spectrum in the logarithmic coordinate system, respectively.

7. The method according to claim 6, characterized in that Use high-order polynomials for fitting, including: The Levenberg-Marquardt nonlinear least squares optimization algorithm is used to solve the high-order polynomial characteristic terms.

8. The method according to claim 6, characterized in that The higher order polynomial is of order 5.

9. A full-wavelength ballastless track irregularity spectrum characterization device, characterized in that: include: The module for obtaining the short-wave irregularity component is used to obtain the first data of the ballastless track collected by the corrugation test vehicle, wherein the first data is for the short-wave component of the full-wavelength irregularity; The module for obtaining the medium and long wave components of the unevenness obtains the second data of the ballastless track collected by the high-speed comprehensive inspection train, wherein the second data is for the medium and long wave components of the full-wavelength unevenness; A shortwave roughness spectrum acquisition module, used for fitting the first data to obtain a shortwave roughness spectrum; A medium- and long-wave unevenness spectrum obtaining module is used to calculate the medium- and long-wave unevenness spectrum corresponding to the second data; A full-wavelength unevenness spectrum characterization data acquisition module is used to fit the short-wave unevenness spectrum and the medium- and long-wave unevenness spectrum to obtain full-wavelength unevenness spectrum characterization data; The full wavelength uneven spectrum characterization data acquisition module is specifically used for: The medium and long wave irregularity spectra of ballastless tracks of various structural types are combined to obtain the medium and long wave irregularity mean spectrum of the ballastless track; the medium and long wave irregularity mean spectrum is converted into a double logarithmic coordinate system and then resampled at equal intervals to obtain first sampling data of the medium and long wave irregularity mean spectrum; the first sampling data is subjected to peak elimination processing to retain the medium and long wave irregularity mean spectrum within a first preset range; The short-wave irregularity spectra of ballastless tracks of various structural types are combined to obtain the short-wave irregularity mean spectrum of ballastless tracks; The shortwave roughness mean spectrum is converted into a double logarithmic coordinate system and then resampled at equal intervals to obtain second sampling data of the shortwave roughness mean spectrum, and the second sampling data is subjected to peak elimination processing to retain the shortwave roughness mean spectrum within a second preset range; After merging the medium- and long-wavelength roughness mean spectrum in the first preset range and the medium- and long-wavelength roughness mean spectrum in the second preset range, high-order polynomial fitting is adopted to obtain full-wavelength roughness spectrum characterization data.

10. The device according to claim 9, characterized in that The shortwave uneven spectrum acquisition module is specifically used for: The first data is fitted with a piecewise power function to obtain a shortwave uneven spectrum.

11. The device according to claim 9, characterized in that The module for obtaining medium and long wave uneven spectrum is specifically used for: The medium and long wave irregularity spectrum corresponding to the second data is calculated using the modified periodogram method.

12. The device according to claim 11, characterized in that Also includes preprocessing modules for: Before calculating the medium and long wave irregularity spectrum corresponding to the second data by using the modified periodogram method, outliers are removed from the second data according to a preset limit value of the track irregularity change rate; The medium and long wave unevenness spectrum acquisition module is specifically used to calculate the second data after the abnormal values ​​are removed to obtain the medium and long wave unevenness spectrum.

13. The device according to claim 9, characterized in that The structural types of ballastless track include CRTSⅠ type slab type, CRTSⅡ type slab type, CRTSⅢ type slab type and double-block type.

14. The device according to claim 9, characterized in that The high-order polynomial is expressed as follows: q=a0+a1p+a2p 2 +···+a n p n Where: n is the order of the high-order polynomial; a0,…,a n is the characteristic term of the high-order polynomial; p and q are the spatial frequency and full-wavelength uneven spectrum in the logarithmic coordinate system, respectively.

15. The device according to claim 14, characterized in that The full wavelength uneven spectrum characterization data acquisition module is specifically used for: The Levenberg-Marquardt nonlinear least squares optimization algorithm is used to solve the high-order polynomial characteristic terms.

16. The device according to claim 15, characterized in that The higher order polynomial is of order 5.

17. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 8 is implemented.

18. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

19. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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