Long-wave height irregularity detection method and device

Abstract

The present invention discloses a long-wave height irregularity detection method and device, relating to the field of railway track inspection technology. The method comprises: performing mileage error correction on the track inspection data based on the measured superelevation in the track inspection data and the design plane curve information in the high-speed railway ledger information; constructing the design elevation of the longitudinal section of the track section based on the mileage error-corrected track inspection data; performing high-pass filtering on the design elevation of the longitudinal section of the track section using a high-pass filter with a preset cutoff wavelength to obtain the long-wave height irregularity of the design elevation of the longitudinal section of the track section; and subtracting the long-wave height irregularity of the design elevation of the longitudinal section of the track section from the long-wave height irregularity of the mileage error-corrected track inspection data to obtain random irregularity. The present invention can provide a data basis for scientifically evaluating and controlling the vertical curve line shape and dynamic long-wave height irregularity of the track.

Description

Technical Field

[0001] The present invention relates to the technical field of railway track detection, and in particular to a long-wave height irregularity detection method and device. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. No statement herein is admitted to be prior art by virtue of its inclusion in this section.

[0003] Vertical curves are a crucial component of a railway line's longitudinal section, ensuring smooth transitions between adjacent slopes, ensuring safety and comfort near gradient changes, and minimizing the impact on the line as trains pass through gradient changes. Currently, some high-speed rail lines are experiencing excessive dynamic long-wave height irregularities and poor comfort in vertical curve sections, a significant issue facing high-speed rail lines during their acceptance and operation. This demonstrates the crucial importance of scientific and rational testing methods for evaluating and controlling longitudinal alignment and track irregularities.

[0004] The detection principle for dynamic track irregularities is based on the inertial reference method, where long-wave height irregularities and track irregularities are output as relative deviations within a specified wavelength range. The track's plane alignment is distinct, making it easy for the detection system to identify plane curve parameters such as curvature and superelevation, and output the detection waveform in real time. This allows the track irregularities to be decoupled from the effects of the plane design alignment, retaining only the random irregularity components. Curvature and superelevation information are often used to correct the mileage error in track inspection data. The core concept is to apply the same mileage error to the track inspection data in sections. This method primarily corrects absolute mileage errors caused by errors in manually set mileage, GPS positioning errors, and RFID tag positioning errors. However, since exact consistency between the actual wheel diameter and the calibrated value is difficult to ensure, the wheel axle photoelectric encoder will generate relative mileage errors during mileage accumulation. Furthermore, wheel-rail creep can also contribute to relative mileage errors. Therefore, the aforementioned mileage calibration method cannot correct for relative mileage errors.

[0005] In addition, the longitudinal section of the line has the characteristics of small algebraic difference in slope and large vertical curve radius. Due to the limitation of the measurement accuracy of the sensor, it is difficult for the existing detection system to realize real-time detection of the longitudinal section parameters of the line. As a result, the measured long-wave height irregularity contains both random irregularity components and the designed linear shape of the longitudinal section of the line, and the random irregularity components cannot be separated from it. Summary of the Invention

[0006] An embodiment of the present invention provides a long-wave height irregularity detection method for accurately correcting mileage errors in track inspection data and eliminating the influence of the track section longitudinal section design alignment on the long-wave height irregularity detection results. The method includes:

[0007] Based on the measured superelevation in the track inspection data and the design plane curve information in the high-speed railway record information, the track inspection data is corrected for mileage errors;

[0008] Construct the design elevation of the longitudinal section of the track section based on the track inspection data after mileage error correction;

[0009] Using a high-pass filter with a preset cutoff wavelength, the design elevation of the longitudinal section of the track section is subjected to high-pass filtering to obtain the long-wave height irregularity of the design elevation of the longitudinal section of the track section;

[0010] The random irregularity is obtained by subtracting the long-wave irregularity of the design elevation of the longitudinal section of the track from the long-wave irregularity of the track inspection data after mileage error correction.

[0011] The present invention also provides a long-wave height irregularity detection device for accurately correcting mileage errors in track inspection data and eliminating the influence of the track section longitudinal section design line shape on the long-wave height irregularity detection results. The device includes:

[0012] The first processing module is used to correct the mileage error of the track inspection data based on the measured superelevation in the track inspection data and the design plane curve information in the high-speed railway record information;

[0013] The second processing module is used to construct the design elevation of the longitudinal section of the track section based on the track inspection data after the mileage error correction;

[0014] The third processing module is used to perform high-pass filtering on the design elevation of the longitudinal section of the track section using a high-pass filter with a preset cutoff wavelength to obtain a long-wavelength height irregularity of the design elevation of the longitudinal section of the track section;

[0015] The fourth processing module is used to use the long-wave height irregularity of the track detection data corrected for mileage errors, minus the long-wave height irregularity of the design elevation of the longitudinal section of the track section, to obtain random irregularity.

[0016] An embodiment of the present invention further provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned long-wave height irregularity detection method when executing the computer program.

[0017] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the long-wave height irregularity detection method is implemented.

[0018] 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 long-wave height irregularity detection method is implemented.

[0019] In an embodiment of the present invention, mileage error correction is performed on the track inspection data based on the measured superelevation in the track inspection data and the design plane curve information in the high-speed railway ledger information. The design elevation of the track section longitudinal section is constructed based on the track inspection data after mileage error correction. The design elevation of the track section longitudinal section is high-pass filtered using a high-pass filter with a preset cutoff wavelength to obtain the long-wave height irregularity of the design elevation of the track section longitudinal section. The long-wave height irregularity of the design elevation of the track section longitudinal section is subtracted from the long-wave height irregularity of the track section longitudinal section from the mileage error-corrected track inspection data to obtain random irregularity. In this way, mileage error correction of the track inspection data is achieved by combining the design plane curve information in the high-speed railway ledger information and the measured superelevation in the track inspection data. The influence of the design line shape on the long-wave height irregularity detection results is eliminated based on the track section longitudinal section information in the high-speed railway ledger information, providing a data basis for scientifically evaluating and controlling the vertical curve line shape and dynamic long-wave height irregularity of the track. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] 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 the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0021] Figure 1 This is a flow chart of a long-wave height irregularity detection method provided in an embodiment of the present invention;

[0022] Figure 2 This is a flow chart of a method for correcting mileage errors in track inspection data based on measured superelevation in the track inspection data and design plane curve information in high-speed railway record information, provided in an embodiment of the present invention;

[0023] Figure 3 This is an example diagram of a midpoint chord measurement value of a mileage sampling point provided in an embodiment of the present invention;

[0024] Figure 4 This is an example diagram of using superelevation to correct mileage errors in track detection data provided in an embodiment of the present invention;

[0025] Figure 5 A schematic diagram of using an ultra-high 100-meter chord to identify plane curve information is provided in an embodiment of the present invention;

[0026] Figure 6 An example diagram of the design elevation of a longitudinal section of a track section provided in an embodiment of the present invention;

[0027] Figure 7 This is an example diagram of the amplitude-frequency characteristics of a high-pass filter provided in an embodiment of the present invention;

[0028] Figure 8 This is an example diagram of 120-meter long-wave height irregularity for obtaining the design elevation of the longitudinal section of a track section provided in an embodiment of the present invention;

[0029] Figure 9 This is an example diagram of obtaining the random component of 120-meter long-wave height irregularity provided in an embodiment of the present invention;

[0030] Figure 10 A schematic diagram of a long-wave height irregularity detection device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0031] To make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below with reference to 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.

[0032] The acquisition, storage, use, and processing of data in this application's technical solution comply with relevant national laws and regulations.

[0033] The term "and / or" herein simply describes an association relationship, indicating that three relationships can exist. For example, A and / or B can represent the existence of A alone, the simultaneous existence of A and B, and the existence of B alone. In addition, the term "at least one" herein refers to any combination of at least two of any one or more of a plurality of items. For example, "at least one of A, B, and C" can represent any one or more elements selected from the set consisting of A, B, and C.

[0034] In the description of this specification, the terms "include", "including", "have", "contain", etc. are all open terms, which mean including but not limited to. The descriptions with reference to the terms "one embodiment", "a specific embodiment", "some embodiments", "for example", etc. mean that the specific features, structures or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. The order of steps involved in each embodiment is used to schematically illustrate the implementation of the present application, and the order of steps therein is not limited and can be appropriately adjusted as needed.

[0035] Research has found that the principle for detecting dynamic track irregularities is the inertial reference method, in which long-wave height and track irregularities are output as relative deviations within a specified wavelength range. The track's plane alignment is distinct, making it easy for the detection system to identify plane curve parameters such as curvature and superelevation, and output the detection waveform in real time. This allows the track irregularity to eliminate the influence of the plane design alignment, retaining only its random irregularity components. Curvature and superelevation information are often used to correct the mileage error in track inspection data. The core concept is to correct the track inspection data segmentally using the same mileage error value. This method primarily corrects absolute mileage errors caused by errors in manually set mileage, GPS positioning errors, and RFID tag positioning errors. However, since it is difficult to ensure that the actual wheel diameter is completely consistent with the calibration value, the wheel axle photoelectric encoder will generate relative mileage errors during the accumulated mileage. Furthermore, wheel-rail creep can also cause relative mileage errors. Therefore, the aforementioned mileage calibration method cannot correct relative mileage errors.

[0036] In addition, the longitudinal section of the line has the characteristics of small algebraic difference in slope and large vertical curve radius. Due to the limitation of the measurement accuracy of the sensor, it is difficult for the existing detection system to realize real-time detection of the longitudinal section parameters of the line. As a result, the measured long-wave height irregularity contains both random irregularity components and the designed linear shape of the longitudinal section of the line, and the random irregularity components cannot be separated from it.

[0037] In view of the above research, the embodiment of the present invention provides a long wave height irregularity detection method, such as Figure 1 Shown, including:

[0038] S101: Correcting the mileage error of the track inspection data based on the measured superelevation in the track inspection data and the design plane curve information in the high-speed railway record information;

[0039] S102: Constructing the design elevation of the longitudinal section of the track section based on the track inspection data after mileage error correction;

[0040] S103: Using a high-pass filter with a preset cutoff wavelength, high-pass filtering is performed on the design elevation of the longitudinal section of the track section to obtain a long-wavelength height irregularity of the design elevation of the longitudinal section of the track section;

[0041] S104: The long-wave height irregularity of the design elevation of the longitudinal section of the track section is subtracted from the long-wave height irregularity of the track inspection data after the mileage error correction to obtain random irregularity.

[0042] In an embodiment of the present invention, mileage error correction is performed on the track inspection data based on the measured superelevation in the track inspection data and the design plane curve information in the high-speed railway ledger information. The design elevation of the track section longitudinal section is constructed based on the track inspection data after mileage error correction. The design elevation of the track section longitudinal section is high-pass filtered using a high-pass filter with a preset cutoff wavelength to obtain the long-wave height irregularity of the design elevation of the track section longitudinal section. The long-wave height irregularity of the design elevation of the track section longitudinal section is subtracted from the long-wave height irregularity of the track section longitudinal section from the mileage error-corrected track inspection data to obtain random irregularity. In this way, mileage error correction of the track inspection data is achieved by combining the design plane curve information in the high-speed railway ledger information and the measured superelevation in the track inspection data. The influence of the design line shape on the long-wave height irregularity detection results is eliminated based on the track section longitudinal section information in the high-speed railway ledger information, providing a data basis for scientifically evaluating and controlling the vertical curve line shape and dynamic long-wave height irregularity of the track.

[0043] The above-mentioned long-wave height and smoothness detection method is described in detail below.

[0044] Regarding the above S101, the high-speed railway ledger information contains multiple design plane curve information. The design plane curve information corresponding to the track inspection data is determined based on the measured superelevation in the track inspection data, and then the mileage error of the measured mileage in the track inspection data is corrected based on the design plane curve information.

[0045] like Figure 2 FIG. 1 is a flow chart of a method for correcting mileage errors in track inspection data based on measured superelevation in the track inspection data and design plane curve information in high-speed railway ledger information, provided by an embodiment of the present invention, including:

[0046] S201: Determine the midpoint chord measurement value of each mileage sampling point in the track section based on the measured superelevation and the preset chord length in the track inspection data.

[0047] Here, the track inspection data includes the measured superelevation corresponding to each mileage sampling point; the preset chord length can be set in combination with the actual application scenario, and the present invention does not impose any restrictions. In a preferred embodiment, the preset chord length can be, for example, 100 meters.

[0048] In one embodiment of the present invention, the chord measurement value of the midpoint of the mileage sampling point is obtained by taking the mileage sampling point as the midpoint of the preset chord length, and then calculating the chord measurement value of the midpoint of the preset chord length, such as Figure 3 As shown in the figure, an example diagram of the midpoint chord measurement value of a mileage sampling point provided by an embodiment of the present invention is provided. Assuming that the preset chord length l is 100 meters, the midpoint chord measurement value of the measured superelevation at the i-th sampling point is Among them, r is the number of sampling points contained in half the chord length of 50 meters, d i is the measured superelevation at the i-th sampling point, d i-r is the measured superelevation at the starting point of the chord where the i-th sampling point is located, d i+r is the measured superelevation at the end point of the chord where the i-th sampling point is located.

[0049] S202: When the midpoint chord measurement values of a continuous preset number of mileage sampling points are greater than a preset threshold, the mileage sampling point corresponding to the maximum midpoint chord measurement value among the continuous preset number of mileage sampling points is determined as a line element demarcation point.

[0050] Specifically, a complete plane alignment consists of five line elements: a straight line before the curve, a front transition curve, a circular curve, a rear transition curve, and a straight line after the curve. The four line element demarcation points of these five line elements are the straight transition point (ZH), the transition-circular transition point (HY), the circular transition point (YH), and the transition-straight transition point (HZ). When the midpoint chord measurement value of multiple consecutive mileage sampling points exceeds a preset threshold, the mileage sampling point with the maximum midpoint chord measurement value among these consecutive mileage sampling points exceeding the preset threshold is selected as a line element demarcation point.

[0051] S203: Divide the track detection data into track detection data corresponding to a plurality of curve segments and a plurality of straight line segments according to the line element dividing points.

[0052] For example, Figure 4 As shown in FIG. 1 , an example diagram of using superelevation to correct the mileage error of track detection data provided by an embodiment of the present invention is shown, where 1, 2, 3, and 4 are four curve segments, respectively. The slow-to-straight point of curve segment 1 to the slow-to-straight point of curve segment 2 is a clamped straight line segment, the slow-to-straight point of curve segment 2 to the slow-to-straight point of curve segment 3 is a clamped straight line segment, and the slow-to-straight point of curve segment 3 to the slow-to-straight point of curve segment 4 is a clamped straight line segment.

[0053] S204: Determine the curve length and transition curve length of each curve segment based on the measured mileage corresponding to each line element demarcation point.

[0054] S205: Determine the direction of each curve segment based on the positive or negative value of the measured superelevation in the track inspection data and the positive or negative value of the midpoint chord measurement of each line element boundary point.

[0055] S206: Determine the design plane curve information corresponding to the track inspection data from the design plane curve information in the high-speed railway ledger information based on the measured superelevation, direction, curve length, and transition curve length of at least one curve segment.

[0056] Here, the high-speed railway ledger information contains multiple design plane curve information. According to the measured superelevation, direction, curve length, and transition curve length of at least one curve segment, the design plane curve information corresponding to the track inspection data is determined.

[0057] S207: Perform mileage error correction on the mileage sampling points of each curve segment according to the design plane curve information corresponding to the track detection data.

[0058] In one embodiment of the present invention, the design plane curve information corresponding to the track inspection data includes the design mileage of the straight-slow point and the design mileage of the slow-straight point of each curve segment. Based on the design plane curve information corresponding to the track inspection data, mileage error correction is performed on the mileage sampling points of each curve segment, for example, including:

[0059] According to the design plane curve information corresponding to the track inspection data, the mileage error correction of the mileage sampling points of each curve segment is performed using the following formula:

[0060]

[0061] in, is the measured mileage of the straight and slow points of the j-th curve segment, is the measured mileage of the straightening point of the j-th curve segment, Design mileage for the straight-slow point of the j-th curve segment, Design mileage for the straightening point of the j-th curve segment, is the measured mileage before correction of the i-th mileage sampling point, is the measured mileage after correction at the i-th mileage sampling point.

[0062] S208: Perform mileage error correction on the mileage sampling points of each straight line segment according to the design plane curve information corresponding to the track detection data.

[0063] In one embodiment of the present invention, the design plane curve information corresponding to the track inspection data includes the design mileage of the straight-slow point and the design mileage of the slow-straight point of each curve segment. Based on the design plane curve information corresponding to the track inspection data, mileage error correction is performed on the mileage sampling points of each straight line segment, for example, including:

[0064] According to the design plane curve information corresponding to the track inspection data, the mileage error correction is performed on the mileage sampling points of each straight line segment using the following formula:

[0065]

[0066] in, is the measured mileage before correction of the i-th mileage sampling point, is the measured mileage of the straightening point of the curve segment before the k-th clip line, Design the mileage for the straightening point of the curve segment before the k-th clip line. is the measured mileage of the straight and slow points of the plane curve after the k-th clip line, Design mileage for the kth plane curve straightening point after the clip line, is the corrected measured mileage of the i-th mileage sampling point within the clip line.

[0067] In addition, in one embodiment of the present invention, the corrected measured mileage can also be adjusted according to the mileage sampling interval. For example, the corrected measured mileage of each mileage sampling point of each curve segment and each straight line segment can be adjusted according to the mileage sampling interval so that the measured mileage of each mileage sampling point after adjustment is an integer multiple of the mileage sampling interval that is closest to the difference between the measured mileage of each mileage sampling point before adjustment.

[0068] For example, the mileage of each mileage sampling point in the track detection data is an integer multiple of 0.25 meters (i.e., the mileage sampling interval is 0.25 meters), and the corrected measured mileage of each mileage sampling point is changed to the nearest integer multiple of 0.25 meters. For example, if the corrected measured mileage of a mileage sampling point is 10.1 meters, it is adjusted to 10 meters; if the corrected measured mileage of a mileage sampling point is 10.2 meters, it is adjusted to 10.25 meters.

[0069] For ease of understanding, a high-speed railway track section from 260 km to 274 km is used as an example. The design and actual superelevation of this section are as follows: Figure 4 As shown, the maximum mileage error of the track detection data reaches 189m. According to the above step S201, the midpoint chord measurement value of each mileage sampling point under the preset chord length of 100 meters is calculated as follows: Figure 5 As shown, according to step S202, the line element dividing points of each curve segment can be easily identified. According to steps S203 to S208, the mileage error correction of the track detection data is performed, and the measured superelevation after mileage calibration is shown in FIG. Figure 4 After mileage calibration, the midpoint chord measurement value of each mileage sampling point under the preset chord length of 100 meters is shown in Figure 5 , it can be seen that this method can realize the correction of absolute mileage error and relative mileage error of track inspection data.

[0070] Regarding S102 above, the longitudinal section of a track section is the line centerline flattened longitudinally along a vertical plane, connected by straight segments of varying lengths and gradients. The intersection of the lines containing two adjacent segments is the gradient change point of the longitudinal section. To ensure smooth transitions for trains, circular vertical curves may or may not be provided between adjacent segments, depending on the algebraic gradient difference.

[0071] In one embodiment of the present invention, a track section longitudinal section includes: a straight slope section and a vertical curve; the track inspection data after mileage error correction includes: the corrected measured mileage of each mileage sampling point; a flow chart of a method for constructing a design elevation of the track section longitudinal section based on the track inspection data after mileage error correction includes:

[0072] Step 1: Obtain the design mileage, design elevation, and vertical curve radius of each slope change point from the high-speed railway ledger information;

[0073] Step 2: Based on the design mileage, design elevation, and vertical curve radius of each slope change point, determine the design mileage, design elevation of the starting point of the vertical curve at each slope change point, as well as the design mileage and design elevation of the end point of the vertical curve at each slope change point;

[0074] Step 3: Determine the longitudinal section of the track section corresponding to each mileage sampling point based on the design mileage and design elevation of the starting point of the vertical curve where each slope change point is located, the design mileage and design elevation of the ending point of the vertical curve where each slope change point is located, and the corrected measured mileage of each mileage sampling point; the mileage sampling point corresponding to the straight segment is used as the first mileage sampling point, and the mileage sampling point corresponding to the vertical curve is used as the second mileage sampling point;

[0075] Step 4: Use the following formula to determine the design elevation of each first mileage sampling point:

[0076] H1=kM1+b;

[0077] Wherein, k is the slope of the straight slope section, b is the intercept of the straight slope section, M1 is the measured mileage after correction of the first mileage sampling point, and H1 is the design elevation of the first mileage sampling point;

[0078] Step 5: Use the following formula to determine the design elevation of each second mileage sampling point:

[0079]

[0080] Among them, M O is the design mileage of the vertical curve corresponding to the slope point, H O is the design elevation of the vertical curve corresponding to the slope point, R SH is the vertical curve radius at the slope change point, M2 is the measured mileage after correction at the second mileage sampling point, and H2 is the design elevation of the second mileage sampling point;

[0081] Step 6: Based on the design elevations of the first mileage sampling points and the design elevations of the second mileage sampling points, obtain the design elevation of the longitudinal section of the track section.

[0082] Here, the execution order of the above steps 4 and 5 is not limited, that is, step 4 can be executed first and then step 5, or step 5 can be executed first and then step 4.

[0083] In addition, another embodiment of the present invention can also draw the design elevation curve of the longitudinal section of the track section according to the design elevation corresponding to each mileage sampling point. For details, please refer to Figure 6 .

[0084] Regarding S103, the high-pass filter cutoff wavelengths generally used to evaluate track dynamic irregularities are 42 meters, 70 meters, and 120 meters. The long-wavelength high and low irregularities at 70 meters and 120 meters are significantly affected by the vertical curve line shape. Therefore, to obtain the true random track irregularities in the vertical curve section, the long-wavelength high and low irregularities at the above two cutoff wavelengths need to be processed. Two rectangular windows and two triangular windows are connected in parallel to construct an FIR linear phase high-pass filter. Its transfer function is shown in the following formula:

[0085] Wherein, m, n, p, q, a1, a2, and a3 are constant coefficients related to the cutoff wavelength.

[0086] For example, the amplitude-frequency characteristics of high-pass filters with cutoff wavelengths of 70 meters and 120 meters can be found in Figure 7 , using a high-pass filter with a preset cutoff wavelength, the design elevation of the longitudinal section of the track section is high-pass filtered to obtain the 120-meter long-wave height irregularity of the design elevation of the longitudinal section of the track section. The comparison between the 120-meter long-wave height irregularity and the measured 120-meter long-wave height irregularity is as follows: Figure 8 As shown in the figure, the measured 120-meter long-wave height irregularity and the 120-meter long-wave height irregularity at the design elevation exhibit similar variation characteristics in the vertical curve section. Mileage calibration eliminates mileage errors in the measured values, and the difference between the two is the random irregularity component of the vertical curve section. Taking the third vertical curve as an example, the measured 120-meter long-wave height irregularity peak value reaches -4.28 mm, while the corresponding 120-meter long-wave height irregularity peak value at the design elevation is -3.40 mm.

[0087] For example, the comparison between the 120-meter long wave height irregularity of the design elevation of the longitudinal section of the track section and the measured 120-meter long wave height irregularity is as follows: Figure 9As shown in the figure, the long-wave height irregularities caused by the 11 vertical curves in this section have been effectively eliminated. The peak value of the random height irregularities in the 120-meter section of the third vertical curve is -1.06 mm. The 120-meter random long-wave height irregularities can be used to effectively evaluate the long-wave height irregularities of the entire line and the differences between the actual and designed vertical curves.

[0088] The present invention also provides a long-wave height irregularity detection device, as described in the following embodiments. Since the principle of the device is similar to that of the long-wave height irregularity detection method, the implementation of the device can refer to the implementation of the long-wave height irregularity detection method, and the repeated parts will not be repeated here.

[0089] like Figure 10 FIG. 1 is a schematic diagram of a long-wave height irregularity detection device provided by an embodiment of the present invention, comprising:

[0090] The first processing module 1001 is used to correct the mileage error of the track inspection data based on the measured superelevation in the track inspection data and the design plane curve information in the high-speed railway record information;

[0091] The second processing module 1002 is used to construct the design elevation of the longitudinal section of the track section based on the track inspection data after the mileage error correction;

[0092] The third processing module 1003 is configured to perform high-pass filtering on the design elevation of the longitudinal section of the track section using a high-pass filter with a preset cutoff wavelength, thereby obtaining a long-wave height irregularity of the design elevation of the longitudinal section of the track section;

[0093] The fourth processing module 1004 is configured to obtain random irregularities by subtracting the long-wave irregularities of the design elevation of the longitudinal section of the track from the long-wave irregularities of the track inspection data after mileage error correction.

[0094] In one possible implementation, the first processing module is specifically used to determine the midpoint chord measurement value of each mileage sampling point of the track section based on the measured superelevation and the preset chord length in the track detection data; when the midpoint chord measurement value of a continuous preset number of mileage sampling points is greater than a preset threshold, the mileage sampling point corresponding to the maximum midpoint chord measurement value among the continuous preset number of mileage sampling points is determined as the line element dividing point; the track detection data is divided into a plurality of curve segments and a plurality of track detection data corresponding to the straight line segments according to the line element dividing point; the curve length and the transition curve length of each curve segment are determined according to the measured mileage corresponding to each line element dividing point. Length; determine the direction of each curve segment according to the positive or negative measured superelevation in the track inspection data and the positive or negative measured value of the midpoint chord of each line element dividing point; determine the design plane curve information corresponding to the track inspection data from the design plane curve information in the high-speed railway ledger information according to the measured superelevation, direction, curve length and transition curve length of at least one curve segment; perform mileage error correction on the mileage sampling points of each curve segment according to the design plane curve information corresponding to the track inspection data; perform mileage error correction on the mileage sampling points of each straight line segment according to the design plane curve information corresponding to the track inspection data.

[0095] In one possible implementation, the design plane curve information corresponding to the track inspection data includes the design mileage of the straight-slow point and the design mileage of the slow-straight point of each curve segment. The first processing module is specifically configured to perform mileage error correction on the mileage sampling points of each curve segment based on the design plane curve information corresponding to the track inspection data using the following formula: in, is the measured mileage of the straight and slow points of the j-th curve segment, is the measured mileage of the straightening point of the j-th curve segment, Design mileage for the straight-slow point of the j-th curve segment, Design mileage for the straightening point of the j-th curve segment, is the measured mileage before correction of the i-th mileage sampling point, is the measured mileage after correction at the i-th mileage sampling point.

[0096] In one possible implementation, the design plane curve information corresponding to the track inspection data includes the design mileage of the straight-slow point and the design mileage of the slow-straight point of each curve segment. The first processing module is specifically configured to perform mileage error correction on the mileage sampling points of each straight line segment based on the design plane curve information corresponding to the track inspection data using the following formula:

[0097]

[0098] in, is the measured mileage before correction of the i-th mileage sampling point, is the measured mileage of the straightening point of the curve segment before the k-th clip line, Design the mileage for the straightening point of the curve segment before the k-th clip line. The measured mileage of the kth plane curve straightening point after the straight line, Design mileage for the kth plane curve straightening point after the clip line, is the corrected measured mileage of the i-th mileage sampling point within the clip line.

[0099] In one possible implementation, the first processing module is further configured to adjust the corrected measured mileage of each mileage sampling point of each curved segment and each straight line segment according to the mileage sampling interval, so that the measured mileage of each mileage sampling point after adjustment is an integer multiple of the mileage sampling interval that is closest to the difference between the measured mileage of each mileage sampling point and the mileage before adjustment.

[0100] In one possible implementation, the longitudinal section of the track section includes: a straight slope section and a vertical curve; the track inspection data after mileage error correction includes: the corrected measured mileage of each mileage sampling point; the second processing module is specifically used to obtain the design mileage, design elevation, and vertical curve radius value of each slope change point from the high-speed railway ledger information; determine the design mileage and design elevation of the starting point of the vertical curve where each slope change point is located, and the design mileage and design elevation of the end point of the vertical curve where each slope change point is located based on the design mileage and design elevation of the starting point of the vertical curve where each slope change point is located, and the design mileage and design elevation of the end point of the vertical curve where each slope change point is located, and the corrected measured mileage of each mileage sampling point, determine the longitudinal section of the track section corresponding to each mileage sampling point; wherein the mileage sampling point corresponding to the straight segment is used as the first mileage sampling point, and the mileage sampling point corresponding to the vertical curve is used as the second mileage sampling point; the design elevation of each first mileage sampling point is determined using the following formula:

[0101] H1=kM1+b;

[0102] Wherein, k is the slope of the straight slope section, b is the intercept of the straight slope section, M1 is the measured mileage after correction of the first mileage sampling point, and H1 is the design elevation of the first mileage sampling point;

[0103] Use the following formula to determine the design elevation of each second mileage sampling point:

[0104]

[0105] Among them, M O is the design mileage of the vertical curve corresponding to the slope point, H O is the design elevation of the vertical curve corresponding to the slope point, R SHis the vertical curve radius at the slope change point, M2 is the measured mileage after correction at the second mileage sampling point, and H2 is the design elevation of the second mileage sampling point. The design elevation of the longitudinal section of the track section is obtained based on the design elevations of the first mileage sampling points and the second mileage sampling points.

[0106] An embodiment of the present invention further provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned long-wave height irregularity detection method when executing the computer program.

[0107] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the long-wave height irregularity detection method is implemented.

[0108] 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 long-wave height irregularity detection method is implemented.

[0109] In an embodiment of the present invention, mileage error correction is performed on the track inspection data based on the measured superelevation in the track inspection data and the design plane curve information in the high-speed railway ledger information. The design elevation of the track section longitudinal section is constructed based on the track inspection data after mileage error correction. The design elevation of the track section longitudinal section is high-pass filtered using a high-pass filter with a preset cutoff wavelength to obtain the long-wave height irregularity of the design elevation of the track section longitudinal section. The long-wave height irregularity of the design elevation of the track section longitudinal section is subtracted from the long-wave height irregularity of the track section longitudinal section from the mileage error-corrected track inspection data to obtain random irregularity. In this way, mileage error correction of the track inspection data is achieved by combining the design plane curve information in the high-speed railway ledger information and the measured superelevation in the track inspection data. The influence of the design line shape on the long-wave height irregularity detection results is eliminated based on the track section longitudinal section information in the high-speed railway ledger information, providing a data basis for scientifically evaluating and controlling the vertical curve line shape and dynamic long-wave height irregularity of the track.

[0110] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, 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 magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0111] 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 flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, 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 flowcharts and / or block diagrams. 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.

[0112] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work 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 The function specified in one or more boxes.

[0113] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0114] 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 long-wave height irregularity detection method, characterized in that: include: Based on the measured superelevation in the track inspection data and the design plane curve information in the high-speed railway record information, the track inspection data is corrected for mileage errors; Construct the design elevation of the longitudinal section of the track section based on the track inspection data after mileage error correction; Using a high-pass filter with a preset cutoff wavelength, the design elevation of the longitudinal section of the track section is subjected to high-pass filtering to obtain the long-wave height irregularity of the design elevation of the longitudinal section of the track section; The random irregularity is obtained by subtracting the long-wave irregularity of the design elevation of the longitudinal section of the track from the long-wave irregularity of the track inspection data after mileage error correction.

2. The long-wave height irregularity detection method according to claim 1, characterized in that: Based on the measured superelevation in the track inspection data and the design plane curve information in the high-speed railway record information, the track inspection data is corrected for mileage errors, including: Determine the midpoint chord measurement value of each mileage sampling point in the track section based on the measured superelevation and preset chord length in the track inspection data; When the midpoint chord measurement value of a continuous preset number of mileage sampling points is greater than a preset threshold, the mileage sampling point corresponding to the maximum midpoint chord measurement value among the continuous preset number of mileage sampling points is determined as the line element demarcation point; The track detection data is divided into track detection data corresponding to a plurality of curve segments and a plurality of straight line segments according to the line element dividing point; Determine the curve length and transition curve length of each curve segment based on the measured mileage corresponding to each line element dividing point; The direction of each curve segment is determined based on the positive or negative value of the measured superelevation in the track inspection data and the positive or negative value of the midpoint chord measurement of each line element boundary point; Determine the design plane curve information corresponding to the track inspection data from the design plane curve information in the high-speed railway ledger information based on the measured superelevation, direction, curve length, and transition curve length of at least one curve segment; According to the design plane curve information corresponding to the track inspection data, the mileage error correction is performed on the mileage sampling points of each curve segment; According to the design plane curve information corresponding to the track detection data, the mileage error correction is performed on the mileage sampling points of each straight line segment.

3. The long-wave height irregularity detection method according to claim 2, characterized in that: The design plane curve information corresponding to the track inspection data includes: the design mileage of the straight-slow point and the design mileage of the slow-straight point of each curve segment; Based on the design plane curve information corresponding to the track inspection data, mileage error correction is performed on the mileage sampling points of each curve segment, including: According to the design plane curve information corresponding to the track inspection data, the mileage error correction of the mileage sampling points of each curve segment is performed using the following formula: ； in, For the The measured mileage of the straight and slow points of each curve segment, For the The measured mileage of the straightening points of the curve segment, For the Design mileage of the straight and slow points of each curve segment, For the The design mileage of the straightening point of each curve segment, For the The measured mileage before correction of the mileage sampling points, For the The measured mileage after correction of the mileage sampling points.

4. The long-wave height irregularity detection method according to claim 2, wherein: The design plane curve information corresponding to the track inspection data includes: the design mileage of the straight-slow point and the design mileage of the slow-straight point of each curve segment; Based on the design plane curve information corresponding to the track inspection data, the mileage error correction is performed on the mileage sampling points of each straight line segment, including: According to the design plane curve information corresponding to the track inspection data, the mileage error correction is performed on the mileage sampling points of each straight line segment using the following formula: ； in, For the The measured mileage before correction of the mileage sampling points, For the The measured mileage of the straightening point of the curved section before the straight line, For the The design mileage of the straightening point of the curved section before the straight line, For the The measured mileage of the plane curve straightening point after the straight line, For the Design mileage of the plane curve straightening point after the straight line, The first The measured mileage after correction of the mileage sampling points.

5. The long-wave height irregularity detection method according to any one of claims 2 to 4, characterized in that: Also includes: According to the mileage sampling interval, the corrected measured mileage of each mileage sampling point of each curved segment and each straight line segment is adjusted so that the measured mileage of each mileage sampling point after adjustment is an integer multiple of the mileage sampling interval that is closest to the difference between the measured mileage of each mileage sampling point before adjustment.

6. The long-wave height irregularity detection method according to claim 1, characterized in that: The longitudinal section of the track section includes: straight slope section and vertical curve; the track inspection data after mileage error correction includes: the corrected measured mileage of each mileage sampling point; Based on the track inspection data after mileage error correction, the design elevation of the track section longitudinal section is constructed, including: Obtain the design mileage, design elevation, and vertical curve radius of each slope change point from the high-speed railway ledger information; According to the design mileage, design elevation, and vertical curve radius of each slope change point, determine the design mileage, design elevation of the starting point of the vertical curve at each slope change point, and the design mileage, design elevation of the end point of the vertical curve at each slope change point; Determine the longitudinal section of the track section corresponding to each mileage sampling point based on the design mileage and design elevation of the starting point of the vertical curve where each slope change point is located, the design mileage and design elevation of the ending point of the vertical curve where each slope change point is located, and the corrected measured mileage of each mileage sampling point; wherein the mileage sampling point corresponding to the straight segment is used as the first mileage sampling point, and the mileage sampling point corresponding to the vertical curve is used as the second mileage sampling point; Use the following formula to determine the design elevation of each first mileage sampling point: ； in, is the slope of the straight slope section, is the intercept of the straight slope segment, is the measured mileage after correction at the first mileage sampling point, The design elevation of the first mileage sampling point; Use the following formula to determine the design elevation of each second mileage sampling point: ； in, The design mileage of the vertical curve corresponding to the slope point, The design elevation of the vertical curve corresponding to the slope point, is the vertical curve radius at the slope change point, is the measured mileage after correction at the second mileage sampling point, The design elevation of the second mileage sampling point; The design elevation of the longitudinal section of the track section is obtained based on the design elevation of each first mileage sampling point and the design elevation of each second mileage sampling point.

7. A long-wave height irregularity detection device, characterized in that: include: The first processing module is used to correct the mileage error of the track inspection data based on the measured superelevation in the track inspection data and the design plane curve information in the high-speed railway record information; The second processing module is used to construct the design elevation of the longitudinal section of the track section based on the track inspection data after the mileage error correction; The third processing module is used to perform high-pass filtering on the design elevation of the longitudinal section of the track section using a high-pass filter with a preset cutoff wavelength to obtain a long-wavelength height irregularity of the design elevation of the longitudinal section of the track section; The fourth processing module is used to use the long-wave height irregularity of the track detection data corrected for mileage errors, minus the long-wave height irregularity of the design elevation of the longitudinal section of the track section, to obtain random irregularity.

8. The long-wave height irregularity detection device according to claim 7, characterized in that: The first processing module is specifically used to determine the midpoint chord measurement value of each mileage sampling point of the track section based on the measured superelevation and the preset chord length in the track inspection data; When the midpoint chord measurement value of a continuous preset number of mileage sampling points is greater than a preset threshold, the mileage sampling point corresponding to the maximum midpoint chord measurement value among the continuous preset number of mileage sampling points is determined as the line element demarcation point; The track detection data is divided into track detection data corresponding to a plurality of curve segments and a plurality of straight line segments according to the line element dividing point; Determine the curve length and transition curve length of each curve segment based on the measured mileage corresponding to each line element dividing point; The direction of each curve segment is determined based on the positive or negative value of the measured superelevation in the track inspection data and the positive or negative value of the midpoint chord measurement of each line element boundary point; Determine the design plane curve information corresponding to the track inspection data from the design plane curve information in the high-speed railway ledger information based on the measured superelevation, direction, curve length, and transition curve length of at least one curve segment; According to the design plane curve information corresponding to the track inspection data, the mileage error of the mileage sampling points of each curve segment is corrected; According to the design plane curve information corresponding to the track detection data, the mileage error correction is performed on the mileage sampling points of each straight line segment.

9. The long-wave height irregularity detection device according to claim 8, characterized in that: The design plane curve information corresponding to the track inspection data includes: the design mileage of the straight-slow point and the design mileage of the slow-straight point of each curve segment; The first processing module is specifically used to correct the mileage error of the mileage sampling points of each curve segment using the following formula based on the design plane curve information corresponding to the track detection data: ； in, For the The measured mileage of the straight and slow points of each curve segment, For the The measured mileage of the straightening points of the curve segment, For the Design mileage of the straight and slow points of each curve segment, For the The design mileage of the straightening point of each curve segment, For the The measured mileage before correction of the mileage sampling points, For the The measured mileage after correction of the mileage sampling points.

10. The long-wave height irregularity detection device according to claim 8, characterized in that: The design plane curve information corresponding to the track inspection data includes: the design mileage of the straight-slow point and the design mileage of the slow-straight point of each curve segment; The first processing module is specifically used to correct the mileage error of each mileage sampling point of the straight line segment using the following formula based on the design plane curve information corresponding to the track detection data: ； in, For the The measured mileage before correction of the mileage sampling points, For the The measured mileage of the straightening point of the curved section before the straight line, For the The design mileage of the straightening point of the curved section before the straight line, For the The measured mileage of the plane curve straightening point after the straight line, For the Design mileage of the plane curve straightening point after the straight line, The first The measured mileage after correction of the mileage sampling points.

11. The long-wave height irregularity detection device according to claim 7, characterized in that: The longitudinal section of the track section includes: straight slope section and vertical curve; the track inspection data after mileage error correction includes: the corrected measured mileage of each mileage sampling point; The second processing module is specifically used to obtain the design mileage, design elevation, and vertical curve radius value of each slope change point from the high-speed railway ledger information; According to the design mileage, design elevation, and vertical curve radius of each slope change point, determine the design mileage, design elevation of the starting point of the vertical curve at each slope change point, and the design mileage, design elevation of the end point of the vertical curve at each slope change point; Determine the longitudinal section of the track section corresponding to each mileage sampling point based on the design mileage and design elevation of the starting point of the vertical curve where each slope change point is located, the design mileage and design elevation of the ending point of the vertical curve where each slope change point is located, and the corrected measured mileage of each mileage sampling point; wherein the mileage sampling point corresponding to the straight segment is used as the first mileage sampling point, and the mileage sampling point corresponding to the vertical curve is used as the second mileage sampling point; Use the following formula to determine the design elevation of each first mileage sampling point: ； in, is the slope of the straight slope section, is the intercept of the straight slope segment, is the measured mileage after correction at the first mileage sampling point, The design elevation of the first mileage sampling point; Use the following formula to determine the design elevation of each second mileage sampling point: ； in, The design mileage of the vertical curve corresponding to the slope point, The design elevation of the vertical curve corresponding to the slope point, is the vertical curve radius at the slope change point, is the measured mileage after correction at the second mileage sampling point, The design elevation of the second mileage sampling point; The design elevation of the longitudinal section of the track section is obtained based on the design elevation of each first mileage sampling point and the design elevation of each second mileage sampling point.

12. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

13. 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 6 is implemented.

14. 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 6 is implemented.

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