Transfer law analysis-oriented framework transverse acceleration data processing method and device

Abstract

The invention discloses a transmission law analysis-oriented framework transverse acceleration data processing method and device. The method comprises the following steps of: acquiring vehicle body transverse acceleration data and framework transverse acceleration data; calculating the power spectrum density of the transverse acceleration data of the vehicle body; a cut-off interval is determined, and the ratio of the accumulated value of the vehicle body transverse acceleration power spectral density in the cut-off interval to the accumulated value of the vehicle body transverse acceleration power spectral density in the full frequency band is not smaller than a preset value; determining the cut-off interval as a framework transverse acceleration filtering frequency band; and filtering the framework transverse acceleration data according to the framework transverse acceleration filtering frequency band to obtain the framework transverse acceleration data matched with the waveform characteristics of the vehicle body transverse acceleration data. According to the method, the transverse acceleration of the framework can be filtered, so that the filtered transverse acceleration signal of the framework can meet the requirement for analyzing a transverse vibration transfer rule between the framework and a vehicle body.

Description

Technical Field

[0001] This invention relates to the field of high-speed railway engineering technology, and in particular to a method and apparatus for processing lateral acceleration data of a structure for analysis of transmission laws. Background Technology

[0002] As the operating speed of high-speed trains continues to increase, under the same external excitation conditions, the vibration level of the vehicles intensifies significantly. This leads to a higher probability of abnormal operating conditions such as swaying and shaking at higher speeds, affecting not only passenger comfort but also potentially threatening operational safety in severe cases. Currently, the vertical and lateral acceleration of the car body are commonly used as auxiliary evaluation indicators of track condition. However, the wheelsets, frame, and car body of high-speed trains are connected by primary and secondary suspension springs. Due to the presence of the spring system, there is a certain time delay in the transmission of vibration at the wheel-rail contact surface to the car body.

[0003] Furthermore, the car body itself possesses a series of inherent modes. When the external excitation frequency approaches the car body's natural frequency, resonance is easily triggered, exacerbating car body vibration. This indicates that under track irregularity excitation of the same amplitude but different wavelengths, the vehicle responses of different EMU models exhibit significant differences.

[0004] Therefore, accurately grasping the correspondence between track irregularities and vehicle vibration characteristics is an important foundation for achieving precise on-site maintenance.

[0005] In the vibration transmission path, the track irregularity excitation is transmitted to the car body sequentially through the wheelset and bogie. Therefore, the relationship between track irregularity and car body vibration is essentially a vibration transmission process of "track irregularity - wheelset - bogie - car body".

[0006] Currently, high-speed integrated inspection trains acquire track geometric parameters by installing inspection beams and specialized inspection equipment, and can calculate the lateral displacement data of the bogie frame. However, acceleration data and displacement data differ in physical properties, making them difficult to directly use for analyzing vibration transmission patterns. Furthermore, the bogie frame itself possesses a series of natural modes, and its natural frequencies are generally higher than those of the car body, resulting in significantly higher vibration frequencies at the bogie location compared to the car body location. While the secondary suspension springs provide some filtering for high-frequency vibration components, the car body primarily bears low-frequency excitation; however, the filtering characteristics of the secondary suspension system and parameters such as the car body's natural modal frequencies are typically difficult to obtain directly. Summary of the Invention

[0007] This invention provides a method for processing lateral acceleration data of a frame for analysis of transmission laws. The method filters the lateral acceleration signal of the frame so that the filtered signal meets the requirements for analyzing the lateral vibration transmission laws between the frame and the vehicle body. The method includes:

[0008] Acquire lateral acceleration data of the vehicle body and lateral acceleration data of the frame;

[0009] Calculate the power spectral density of the vehicle's lateral acceleration data;

[0010] The lateral acceleration filtering frequency band of the structure is determined as follows: a cutoff interval is determined such that the ratio of the cumulative value of the vehicle body's lateral acceleration power spectral density in the cutoff interval to the cumulative value of the vehicle body's lateral acceleration power spectral density in the entire frequency band is not less than a preset value; the cutoff interval is determined as the lateral acceleration filtering frequency band of the structure.

[0011] Based on the lateral acceleration filtering frequency band of the frame, the lateral acceleration data of the frame is filtered to obtain lateral acceleration data of the frame that matches the waveform characteristics of the lateral acceleration data of the vehicle body.

[0012] This invention also provides a structural lateral acceleration data processing device for transmission law analysis, used to filter the structural lateral acceleration signal so that the filtered signal meets the requirements for lateral vibration transmission law analysis between the structural frame and the vehicle body. The device includes:

[0013] The data acquisition module is used to acquire vehicle body lateral acceleration data and frame lateral acceleration data;

[0014] The power spectral density calculation module is used to calculate the power spectral density of the vehicle's lateral acceleration data.

[0015] The filter band determination module is used to determine the frame lateral acceleration filter band in the following manner: determine a cutoff interval such that the ratio of the sum of the normalized vehicle body lateral acceleration power spectral density in the cutoff interval to the sum of the normalized vehicle body lateral acceleration power spectral density in the entire frequency band is not less than a preset value; and determine the cutoff interval as the frame lateral acceleration filter band.

[0016] The lateral acceleration filtering module is used to: filter the lateral acceleration data of the frame according to the lateral acceleration filtering frequency band of the frame, so as to obtain lateral acceleration data of the frame that matches the waveform characteristics of the lateral acceleration data of the vehicle body.

[0017] This invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-described method for processing transverse acceleration data based on transitivity analysis.

[0018] This invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned lateral acceleration data processing method for transmission law analysis.

[0019] This invention also provides a computer program product, which includes a computer program that, when executed by a processor, implements the above-described method for processing transverse acceleration data based on transitivity analysis.

[0020] In this embodiment of the invention, lateral acceleration data of the vehicle body and lateral acceleration data of the frame are acquired; the power spectral density of the lateral acceleration data of the vehicle body is calculated; the power spectral density value of the lateral acceleration of the vehicle body is normalized to obtain a normalized lateral acceleration power spectral density; the frame lateral acceleration filtering frequency band is determined as follows: a cutoff interval is determined such that the ratio of the cumulative value of the normalized lateral acceleration power spectral density of the vehicle body in the cutoff interval to the cumulative value of the normalized lateral acceleration power spectral density of the vehicle body in the entire frequency band is not less than a preset value; the cutoff interval is determined as the frame lateral acceleration filtering frequency band; the frame lateral acceleration data is filtered according to the frame lateral acceleration filtering frequency band to obtain frame lateral acceleration data that matches the waveform characteristics of the lateral acceleration data of the vehicle body. The frame lateral acceleration processing method in this embodiment of the invention enables the filtered frame lateral acceleration signal to meet the requirements for analyzing the lateral vibration transmission law between the frame and the vehicle body, solving the problem in the prior art that it is difficult to directly analyze the inherent modes of the vehicle body. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. 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 effort. In the drawings:

[0022] Figure 1 This is a flowchart of a method for processing lateral acceleration data of a structure oriented towards transmission law analysis in an embodiment of the present invention;

[0023] Figure 2 This is an example diagram of the original waveform of the lateral acceleration of the vehicle body in an embodiment of the present invention;

[0024] Figure 3 This is an example diagram of the lateral acceleration power spectral density of the vehicle body in an embodiment of the present invention;

[0025] Figure 4 This is an example diagram of the original waveform of the lateral displacement of the frame in an embodiment of the present invention;

[0026] Figure 5 This is an example diagram of the original waveform of the lateral acceleration of the frame in an embodiment of the present invention;

[0027] Figure 6 This is an example diagram of the lateral acceleration of the filtered structure in an embodiment of the present invention;

[0028] Figure 7 This is an example diagram of the technical solution for lateral acceleration filtering of the structure in an embodiment of the present invention;

[0029] Figure 8 This is a schematic diagram of a lateral acceleration data processing device for a structure oriented towards transmission law analysis in an embodiment of the present invention;

[0030] Figure 9 This is another schematic diagram of a transverse acceleration data processing device for transmission law analysis in an embodiment of the present invention. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. Here, the illustrative 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] Vibrations excited by track irregularities are transmitted through the wheelsets and bogies, ultimately reaching the car body, forming a cascading transmission path. In high-speed trains, the wheelsets, frames, and car body are interconnected via primary and secondary suspension springs. The secondary suspension springs filter high-frequency vibration components, ensuring that the external excitation frequencies transmitted to the car body are primarily concentrated in the low-frequency range. However, the actual vibration filtering characteristics of the secondary suspension system and the inherent modal frequency parameters of the car body are difficult to obtain directly and accurately, resulting in a lack of effective methods to effectively identify the car body's sensitive frequencies to track irregularities.

[0033] Figure 1 This is a flowchart of a method for processing lateral acceleration data of a structure oriented towards transmission law analysis in an embodiment of the present invention.

[0034] To address the aforementioned problems, the inventors believe that studying the vibration transmission law between the frame and the car body can indirectly explore the sensitive frequencies of the car body to track irregularities. To ensure the reliability of the analysis results of the frame-car body vibration transmission law, this invention proposes a method for processing lateral acceleration data of the frame for transmission law analysis, such as... Figure 1 As shown, this method can be implemented in the following steps:

[0035] Step 101: Obtain the lateral acceleration data of the vehicle body and the lateral acceleration data of the frame;

[0036] Step 102: Calculate the power spectral density of the vehicle's lateral acceleration data;

[0037] Step 103: Determine the lateral acceleration filtering frequency band of the frame as follows: Determine a cutoff interval such that the ratio of the cumulative value of the vehicle body's lateral acceleration power spectral density in the cutoff interval to the cumulative value of the vehicle body's lateral acceleration power spectral density in the entire frequency band is not less than a preset value; the cutoff interval is determined as the lateral acceleration filtering frequency band of the frame.

[0038] Step 104: Filter the lateral acceleration data of the frame according to the lateral acceleration filtering frequency band to obtain lateral acceleration data of the frame that matches the waveform characteristics of the lateral acceleration data of the vehicle body.

[0039] In this embodiment of the invention, lateral acceleration data of the vehicle body and lateral acceleration data of the frame are acquired; the power spectral density of the lateral acceleration data of the vehicle body is calculated; the power spectral density value of the lateral acceleration of the vehicle body is normalized to obtain a normalized lateral acceleration power spectral density; the frame lateral acceleration filtering frequency band is determined as follows: a cutoff interval is determined such that the ratio of the cumulative value of the normalized lateral acceleration power spectral density of the vehicle body in the cutoff interval to the cumulative value of the normalized lateral acceleration power spectral density of the vehicle body in the entire frequency band is not less than a preset value; the cutoff interval is determined as the frame lateral acceleration filtering frequency band; the frame lateral acceleration data is filtered according to the frame lateral acceleration filtering frequency band to obtain frame lateral acceleration data that matches the waveform characteristics of the lateral acceleration data of the vehicle body. The frame lateral acceleration processing method in this embodiment of the invention enables the filtered frame lateral acceleration signal to meet the requirements for analyzing the lateral vibration transmission law between the frame and the vehicle body, solving the problem in the prior art that it is difficult to directly analyze the inherent modes of the vehicle body.

[0040] As we know from physics, displacement data can be obtained by double integration of acceleration data. That is:

[0041] ;

[0042] In the formula, For displacement data; dt represents acceleration data; t represents time; dt represents the interval between two sampling points; C1 and C2 are integration constants.

[0043] Based on mathematical principles, for time-domain signals Integrating, it can be expressed in the frequency domain as:

[0044] ;

[0045] In the formula, f is the frequency. for The Fourier transform of , where j is the imaginary unit.

[0046] exist The denominator contains 'f', which means that the integral will attenuate high-frequency components, and the higher the frequency, the stronger the attenuation. A first integral attenuates to 1 / f of the original value, and a second integral attenuates to 1 / f of the original value. 2 At this point, the energy in the high-frequency range drops sharply, and the signal components become predominantly low-frequency. Furthermore, each integration introduces a phase delay of -90°.

[0047] The above derivation proves that directly using the lateral displacement data of the frame and the lateral acceleration data of the vehicle body for transmission law analysis is not appropriate. If we want to study the influence of vibration at the frame on vehicle body vibration, we need to keep the data properties the same, that is, the lateral displacement of the frame and the lateral displacement of the vehicle body or the lateral acceleration of the frame and the lateral acceleration of the vehicle body.

[0048] Currently, high-speed integrated inspection trains are equipped with track geometry detection systems, which are used to detect the geometric shape and position of the track, as well as the vertical and lateral vibration acceleration of the train body when it passes through the current track section.

[0049] Therefore, in this embodiment of the invention, the lateral acceleration data of the vehicle body and the lateral acceleration data of the frame are obtained.

[0050] For example, an acceleration sensor is installed on the floor of the high-speed integrated inspection train to collect data on the lateral acceleration of the train body during operation.

[0051] Figure 2 This is an example diagram of the original waveform of the lateral acceleration of the vehicle body in an embodiment of the present invention. Figure 2 The data shows the lateral acceleration of the vehicle body within the same time period, and it can be seen that the data fluctuations are relatively small. Obviously, directly analyzing the unprocessed lateral acceleration of the structure at this time cannot yield a satisfactory transmission pattern.

[0052] In this embodiment of the invention, the power spectral density of the vehicle body's lateral acceleration data is calculated.

[0053] For example, the power spectral density of the vehicle's lateral acceleration data can be calculated using the following formula:

[0054] ;

[0055] In the formula, The power spectral density of the vehicle's lateral acceleration data A is given by w[n], where w[n] is the window function. m [n] is the segmented signal block, L is the length of each segment, M is the number of segments, f is the frequency, e is the natural constant, j is the imaginary unit, π is pi, m is the segment number, and n is the sampling point number in each segment.

[0056] The vibration energy levels of a vehicle body can vary significantly depending on the route, speed, and even the number of tests. To improve the versatility of this method and make it applicable to various operating conditions with different routes and vehicle speeds, in one embodiment, the lateral acceleration power spectral density value of the vehicle body is normalized to obtain a normalized lateral acceleration power spectral density. In step 103, the normalized lateral acceleration power spectral density is used to determine the lateral acceleration filtering frequency band of the frame.

[0057] For example, the power spectral density value of the vehicle's lateral acceleration is normalized according to the following formula (this example uses the parameter annotations from the previous embodiments):

[0058] ;

[0059] In the formula, It is the normalized power spectral density value of the vehicle body's lateral acceleration.

[0060] In this embodiment of the invention, the lateral acceleration filtering frequency band of the structure is determined as follows: a cutoff interval is determined such that the ratio of the cumulative value of the vehicle body's lateral acceleration power spectral density in the cutoff interval to the cumulative value of the vehicle body's lateral acceleration power spectral density in the entire frequency band is not less than a preset value; the cutoff interval is determined as the lateral acceleration filtering frequency band of the structure.

[0061] In this embodiment, the lower cutoff frequency of the cutoff interval can be set to 0 Hz.

[0062] For example, find a frequency F* such that the ratio of the sum of the normalized vehicle body lateral acceleration power spectral density values ​​in the range of 0 to F* to the sum of the values ​​across the entire frequency band is greater than or equal to 0.98.

[0063] The normalized vehicle body lateral acceleration power spectral density value has a cumulative value of 1 across the entire frequency band, as shown in the following formula:

[0064] ;

[0065] In the formula, P total f is the sum of the normalized lateral acceleration power spectral density values ​​across the entire frequency band; max This is the maximum frequency.

[0066] The normalized summation of the vehicle body lateral acceleration power spectral density values ​​within the range of 0 to F is given by the following formula:

[0067] ;

[0068] In the formula, This is the cumulative value of the normalized lateral acceleration power spectral density of the vehicle body within the range of 0 to F.

[0069] Therefore, the endpoints of the cutoff interval can be represented as: .

[0070] Therefore, the cutoff interval [0.1, F*] is determined as the frame lateral acceleration filtering frequency band range corresponding to the vehicle body lateral acceleration data.

[0071] Figure 3 This is an example diagram of the power spectral density of the vehicle body's lateral acceleration in an embodiment of the present invention. Figure 3 As shown, according to the calculation, the ratio of the sum of the normalized vehicle body lateral acceleration power spectral density values ​​in the range of 0~4.8Hz to the sum of the values ​​across the entire frequency band is greater than 0.98. Therefore, the lateral acceleration filtering frequency band of the frame should be taken as 0.1~4.8Hz.

[0072] Based on the lateral displacement data of the frame, the lateral acceleration data of the frame, which describes the motion characteristics of the frame, can be obtained through numerical calculation.

[0073] In one embodiment, lateral displacement data of the frame is obtained; the spatial second derivative of the lateral displacement data of the frame is calculated by the central difference method; and the spatial second derivative of the lateral displacement data of the frame is converted into the time second derivative based on the train running speed data to obtain the lateral acceleration data of the frame.

[0074] Figure 4 This is an example diagram of the original waveform of the lateral displacement of the frame in an embodiment of the present invention. Figure 4 The data on the lateral displacement of the structure of a high-speed comprehensive inspection train when it passes a turnout are displayed.

[0075] For example, the lateral displacement data of the structure at the same time can also be calculated using the single-sided gauge and track alignment irregularity data collected by the high-speed integrated inspection train.

[0076] By installing testing equipment on the high-speed comprehensive inspection train, and through multiple experimental tests and theoretical derivations, it was found that there is a geometric relationship between track irregularity data, single-sided gauge data, and lateral displacement of the frame: lateral displacement of the frame = track irregularity data + single-sided gauge data / 2.

[0077] For example, the aforementioned geometric relationship can be derived as follows: By installing track accelerometers and left and right laser camera components at the track inspection beam position of the high-speed integrated inspection train, track acceleration and left and right single-sided track gauge data are collected, and the inertial displacement data of the track inspection beam's center position relative to inertial space is obtained through quadratic integration. The track inspection beam and bogie frame are rigidly and directly connected; the movement of the track inspection beam represents the movement of the bogie frame. Therefore, the inertial displacement data of the track inspection beam can be approximately characterized as the lateral absolute displacement of the bogie frame relative to inertial space. Track irregularity is the lateral offset of the actual centerline of the rail relative to its ideal centerline on the horizontal plane. Based on the left and right single-sided track gauge data and the aforementioned inertial displacement data, the track irregularity data can be calculated.

[0078] According to mathematical principles, acceleration It is displacement The second derivative: The second derivative of the lateral displacement data of the structure can be used as the lateral acceleration data of the structure.

[0079] Since the high-speed integrated inspection train collects data through spatial sampling, which is based on distance rather than time; and since time = spatial distance / train speed, it is necessary to convert the spatial derivative calculated by the central difference method into the time derivative in the time domain according to the train speed.

[0080] Therefore, after the central difference method, velocity information needs to be introduced to convert the spatial domain into the time domain and obtain the lateral acceleration of the structure.

[0081] For example, considering that the obtained lateral displacement data of the structure is a discrete sequence, the lateral acceleration of the structure is calculated according to the following formula:

[0082] ;

[0083] In the formula, a[k] is the lateral acceleration data point of the kth frame; Y[k+1] is the lateral displacement data point of the (k+1)th frame; Y[k] is the lateral displacement data point of the kth frame; Y[k-1] is the lateral displacement data point of the (k-1)th frame. denoted as , where is the time difference between the (k+1)th lateral displacement data point and the kth frame lateral displacement data point, and between the kth lateral displacement data point and the (k-1)th frame lateral displacement data point; v is the train speed.

[0084] In one embodiment, based on the train speed data, the spatial second derivative of the lateral displacement data of the frame is converted into the temporal second derivative; the temporal second derivative of the lateral displacement data of the frame is phase-corrected to obtain the lateral acceleration data of the frame.

[0085] For example, considering that each difference introduces a 90° phase shift, two differences will result in a 180° phase shift. Therefore, it is necessary to perform phase correction on the second time derivative of the lateral displacement data of the structure to obtain the lateral acceleration data of the structure. The calculation formula is as follows: Where a[k] is the second time derivative of the lateral displacement data of the framework, a corrected [k] represents the phase-corrected lateral acceleration data of the frame.

[0086] Figure 5 This is an example diagram of the original waveform of the lateral acceleration of the frame in an embodiment of the present invention. Using the lateral acceleration calculation method of the frame proposed in the above embodiments, the following can be obtained: Figure 4 The results of the lateral acceleration data of the structure when the medium- and high-speed comprehensive inspection train passes through the turnout are as follows: Figure 5 As shown.

[0087] contrast Figure 4 and Figure 5 The waveforms show that the lateral acceleration data of the structure has higher volatility than the lateral displacement data, which means that the lateral acceleration data of the structure covers more high-frequency components.

[0088] In this embodiment of the invention, the lateral acceleration data of the frame is filtered according to the lateral acceleration filtering frequency band of the frame to obtain lateral acceleration data of the frame that matches the waveform characteristics of the lateral acceleration data of the vehicle body.

[0089] Figure 6 This is an example diagram of the lateral acceleration of the filtered structure in an embodiment of the present invention. Figure 6 As shown, it can be clearly seen that the waveform similarity between the lateral acceleration of the frame and the corresponding lateral acceleration of the vehicle body is significantly improved after filtering.

[0090] Figure 7 This is an example diagram of the technical solution for lateral acceleration filtering in an embodiment of the present invention.

[0091] In this embodiment of the invention, data on single-sided track gauge, track alignment irregularities, and lateral acceleration of the vehicle body collected by a high-speed integrated inspection train are used as the research object. A framework-based lateral acceleration filtering method for analyzing transmission patterns is proposed. For example... Figure 7 As shown, the proposed transverse acceleration filtering for the architecture, which is oriented towards the analysis of transmission laws, mainly consists of two parts: the first part is the acquisition of transverse acceleration data of the architecture; the second part is the method for processing transverse acceleration data of the architecture, which is oriented towards the analysis of transmission laws.

[0092] The acquisition of lateral acceleration data of the structure includes the following steps: acquiring the lateral displacement of the structure; calculating the lateral acceleration of the structure through the center difference method and phase correction.

[0093] The data processing of lateral acceleration of the frame for transmission law analysis includes the following steps: acquiring the lateral acceleration of the vehicle body; calculating the power spectral density; normalization processing; finding the frequency corresponding to the preset bandwidth (e.g., 98%); determining the filtering frequency; and finally, filtering the lateral acceleration of the frame using the filtering frequency band to obtain the filtered lateral acceleration of the frame.

[0094] This invention also provides a lateral acceleration data processing device for a structure oriented towards transmission law analysis, as described in the following embodiments. Since the principle by which this device solves the problem is similar to the lateral acceleration data processing method for a structure oriented towards transmission law analysis, the implementation of this device can refer to the implementation of the lateral acceleration data processing method for a structure oriented towards transmission law analysis; repeated details will not be elaborated further.

[0095] Figure 8 This is a schematic diagram of a lateral acceleration data processing device for a structure oriented towards transmission law analysis in an embodiment of the present invention. Figure 8 As shown, the device includes:

[0096] Data acquisition module 801 is used to: acquire vehicle body lateral acceleration data and frame lateral acceleration data;

[0097] The power spectral density calculation module 802 is used to calculate the power spectral density of the vehicle body's lateral acceleration data.

[0098] The filter band determination module 803 is used to: determine the frame lateral acceleration filter band in the following manner: determine a cutoff interval such that the ratio of the sum of the normalized vehicle body lateral acceleration power spectral density in the cutoff interval to the sum of the normalized vehicle body lateral acceleration power spectral density in the whole frequency band is not less than a preset value; and determine the cutoff interval as the frame lateral acceleration filter band.

[0099] The lateral acceleration filtering module 804 is used to: filter the lateral acceleration data of the frame according to the lateral acceleration filtering frequency band of the frame, so as to obtain lateral acceleration data of the frame that matches the waveform characteristics of the lateral acceleration data of the vehicle body.

[0100] Figure 9 This is a schematic diagram of a lateral acceleration data processing device for transmission law analysis in an embodiment of the present invention.

[0101] In one embodiment, such as Figure 9 As shown, the device also includes a normalization processing module 901, used for:

[0102] The lateral acceleration power spectral density value of the vehicle body is normalized to obtain the normalized lateral acceleration power spectral density of the vehicle body;

[0103] The filter bandwidth determination module 803 is specifically used for:

[0104] A cutoff interval is determined such that the ratio of the sum of the normalized vehicle body lateral acceleration power spectral density in the cutoff interval to the sum of the normalized vehicle body lateral acceleration power spectral density across the entire frequency band is not less than a preset value.

[0105] In one embodiment, the lateral acceleration filtering module 804 is specifically used for:

[0106] Obtain the lateral displacement data of the structure;

[0107] The spatial second derivative of the lateral displacement data of the framework was calculated using the central difference method.

[0108] Based on the train speed data, the spatial second derivative of the lateral displacement data of the structure is converted into the temporal second derivative to obtain the lateral acceleration data of the structure.

[0109] In one embodiment, the lateral acceleration filtering module 804 is specifically used for:

[0110] Based on the train speed data, the spatial second derivative of the lateral displacement data of the frame is converted into the temporal second derivative.

[0111] Phase correction is performed on the time second derivative of the lateral displacement data of the frame to obtain the lateral acceleration data of the frame.

[0112] This invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-described method for processing transverse acceleration data based on transitivity analysis.

[0113] This invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned lateral acceleration data processing method for transmission law analysis.

[0114] This invention also provides a computer program product, which includes a computer program that, when executed by a processor, implements the above-described method for processing transverse acceleration data based on transitivity analysis.

[0115] In this embodiment of the invention, lateral acceleration data of the vehicle body and lateral acceleration data of the frame are acquired; the power spectral density of the lateral acceleration data of the vehicle body is calculated; the power spectral density value of the lateral acceleration of the vehicle body is normalized to obtain a normalized lateral acceleration power spectral density; the frame lateral acceleration filtering frequency band is determined as follows: a cutoff interval is determined such that the ratio of the cumulative value of the normalized lateral acceleration power spectral density of the vehicle body in the cutoff interval to the cumulative value of the normalized lateral acceleration power spectral density of the vehicle body in the entire frequency band is not less than a preset value; the cutoff interval is determined as the frame lateral acceleration filtering frequency band; the frame lateral acceleration data is filtered according to the frame lateral acceleration filtering frequency band to obtain frame lateral acceleration data that matches the waveform characteristics of the lateral acceleration data of the vehicle body. The frame lateral acceleration processing method in this embodiment of the invention enables the filtered frame lateral acceleration signal to meet the requirements for analyzing the lateral vibration transmission law between the frame and the vehicle body, solving the problem in the prior art that it is difficult to directly analyze the inherent modes of the vehicle body.

[0116] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied 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.

[0117] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations 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, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0118] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0119] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0120] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are 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 within the scope of protection of the present invention.

Claims

1. A method for processing lateral acceleration data of a framework oriented towards transmission law analysis, characterized in that, include: Acquire lateral acceleration data of the vehicle body and lateral acceleration data of the frame; Calculate the power spectral density of the vehicle's lateral acceleration data; The lateral acceleration filtering frequency band of the structure is determined as follows: a cutoff interval is determined such that the ratio of the cumulative value of the vehicle body's lateral acceleration power spectral density in the cutoff interval to the cumulative value of the vehicle body's lateral acceleration power spectral density in the entire frequency band is not less than a preset value; the cutoff interval is determined as the lateral acceleration filtering frequency band of the structure. Based on the lateral acceleration filtering frequency band of the frame, the lateral acceleration data of the frame is filtered to obtain lateral acceleration data of the frame that matches the waveform characteristics of the lateral acceleration data of the vehicle body.

2. The method as described in claim 1, characterized in that, After calculating the power spectral density of the vehicle's lateral acceleration data, the following is also included: The lateral acceleration power spectral density value of the vehicle body is normalized to obtain the normalized lateral acceleration power spectral density of the vehicle body; A cutoff interval is defined such that the ratio of the cumulative value of the vehicle's lateral acceleration power spectral density within the cutoff interval to the cumulative value of the vehicle's lateral acceleration power spectral density across the entire frequency band is not less than a preset value, including: A cutoff interval is determined such that the ratio of the sum of the normalized vehicle body lateral acceleration power spectral density in the cutoff interval to the sum of the normalized vehicle body lateral acceleration power spectral density across the entire frequency band is not less than a preset value.

3. The method as described in claim 1, characterized in that, Acquire lateral acceleration data of the structure, including: Obtain the lateral displacement data of the structure; The spatial second derivative of the lateral displacement data of the framework was calculated using the central difference method. Based on the train speed data, the spatial second derivative of the lateral displacement data of the structure is converted into the temporal second derivative to obtain the lateral acceleration data of the structure.

4. The method as described in claim 3, characterized in that, Based on the train speed data, the spatial second derivative of the lateral displacement data of the structure is converted into the temporal second derivative to obtain the lateral acceleration data of the structure, including: Based on the train speed data, the spatial second derivative of the lateral displacement data of the frame is converted into the temporal second derivative. Phase correction is performed on the time second derivative of the lateral displacement data of the frame to obtain the lateral acceleration data of the frame.

5. A transverse acceleration data processing device for transmission law analysis, characterized in that, include: The data acquisition module is used to acquire vehicle body lateral acceleration data and frame lateral acceleration data; The power spectral density calculation module is used to calculate the power spectral density of the vehicle's lateral acceleration data. The filter band determination module is used to determine the frame lateral acceleration filter band in the following manner: determine a cutoff interval such that the ratio of the sum of the normalized vehicle body lateral acceleration power spectral density in the cutoff interval to the sum of the normalized vehicle body lateral acceleration power spectral density in the entire frequency band is not less than a preset value; and determine the cutoff interval as the frame lateral acceleration filter band. The lateral acceleration filtering module is used to: filter the lateral acceleration data of the frame according to the lateral acceleration filtering frequency band of the frame, so as to obtain lateral acceleration data of the frame that matches the waveform characteristics of the lateral acceleration data of the vehicle body.

6. The apparatus as claimed in claim 5, characterized in that, It also includes a normalization module, used for: The lateral acceleration power spectral density value of the vehicle body is normalized to obtain the normalized lateral acceleration power spectral density of the vehicle body; The filter bandwidth determination module is specifically used for: A cutoff interval is determined such that the ratio of the sum of the normalized vehicle body lateral acceleration power spectral density in the cutoff interval to the sum of the normalized vehicle body lateral acceleration power spectral density across the entire frequency band is not less than a preset value.

7. The apparatus as claimed in claim 5, characterized in that, The transverse acceleration filtering module is designed for: Obtain the lateral displacement data of the structure; The spatial second derivative of the lateral displacement data of the framework was calculated using the central difference method. Based on the train speed data, the spatial second derivative of the lateral displacement data of the structure is converted into the temporal second derivative to obtain the lateral acceleration data of the structure.

8. The apparatus as claimed in claim 7, characterized in that, The transverse acceleration filtering module is designed for: Based on the train speed data, the spatial second derivative of the lateral displacement data of the frame is converted into the temporal second derivative. Phase correction is performed on the time second derivative of the lateral displacement data of the frame to obtain the lateral acceleration data of the frame.

9. 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, it implements the method of any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method of any one of claims 1 to 4.

11. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the method of any one of claims 1 to 4.

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