Vehicle body lateral vibration acceleration-based vehicle sway detection method and system

Abstract

The present application relates to the field of rail vehicle technology, and provides a car sway detection method and system based on car body lateral vibration acceleration, which obtains the lateral vibration acceleration of the car body, performs mean removal processing on the lateral vibration acceleration, performs band-pass filtering on the harmonics of the lateral vibration acceleration according to a preset frequency range, calculates the integral wave peak value of the band-pass filtered harmonics, and finally judges whether the integral wave peak value meets the car sway warning condition or the car sway alarm condition, thereby solving the problem in the prior art that it is unable to effectively identify the car sway phenomenon and ensure that no false alarm occurs when passing through stations, turnouts and other sections, achieving the effect of effectively identifying the car sway phenomenon and avoiding the false alarm problem, and the algorithm is simple, the calculation efficiency is high, and the real-time diagnosis of the low-frequency car sway phenomenon is fast, efficient and accurate.

Description

Technical Field

[0001] This invention relates to the field of rail vehicle technology, and in particular to a method and system for detecting vehicle sway based on the lateral vibration acceleration of the vehicle body. Background Technology

[0002] During the service of rail trains, the wheel-rail matching relationship may change. In some lines or sections, there may be poor wheel-rail matching, low equivalent cone, etc., which may cause the train body to sway at low frequency, affecting driving safety and passenger comfort.

[0003] For low-frequency lateral sway monitoring of train bodies, current technologies calculate lateral stability by measuring the lateral acceleration of the train body. However, this method has the following drawbacks: Because the weighting coefficient for lateral stability is low at low frequencies (generally between 0.5-3Hz), the lateral stability index is not clearly reflected when swaying occurs. In some cases, the lateral stability index may not exceed the lateral stability limit, thus failing to trigger a stability alarm. If the alarm limit for lateral stability is lowered, slight vibrations when the train passes through stations or switches may cause false alarms due to a higher lateral stability index. Therefore, relying solely on the lateral stability index cannot effectively identify swaying while simultaneously preventing false alarms when passing through stations or switches. Summary of the Invention

[0004] This invention provides a method and system for detecting vehicle sway based on the lateral vibration acceleration of the vehicle body, which solves the shortcomings of the prior art that cannot effectively identify vehicle sway while ensuring that no false alarms occur when passing through sections such as stations and switches, and achieves fast, efficient and accurate real-time diagnosis of low-frequency vehicle sway.

[0005] This invention provides a method for detecting vehicle sway based on lateral vibration acceleration of the vehicle body, comprising:

[0006] Obtain the lateral vibration acceleration of the vehicle body;

[0007] The lateral vibration acceleration is subjected to mean-removal processing;

[0008] The harmonics of the lateral vibration acceleration are bandpass filtered according to a preset frequency range, and the whole peak value of the bandpass filtered harmonics is calculated. The frequency range is determined based on the suspension parameters of the vehicle body, the suspension modes of the vehicle body under motion posture are calculated, and the suspension modes are determined accordingly.

[0009] Determine whether the total peak value meets the conditions for vehicle sway warning or vehicle sway alarm.

[0010] According to the vehicle sway detection method based on lateral vibration acceleration of the vehicle body provided by the present invention, determining whether the peak value of the whole wave meets the sway warning condition or the sway alarm condition specifically includes:

[0011] If the number of times the peak value exceeds the vehicle sway threshold within a preset period is greater than a predetermined number, the peak value is determined to meet the vehicle sway warning condition or the vehicle sway alarm condition.

[0012] According to the vehicle sway detection method based on lateral vibration acceleration of the vehicle body provided by the present invention, the sway threshold includes two first thresholds and two second thresholds. The first threshold is a sway warning threshold, and the second threshold is a sway alarm threshold. The absolute value of the first threshold is less than the absolute value of the second threshold.

[0013] According to the vehicle body lateral vibration acceleration-based vehicle sway detection method provided by the present invention, when the number of times the total wave peak exceeds the sway threshold within a preset period is greater than a predetermined number, it is determined that the total wave peak meets the sway warning condition or the sway alarm condition, specifically including:

[0014] If the number of times the peak value exceeds the first threshold within a preset period is greater than a predetermined number, and the number of times it exceeds the second threshold is less than a predetermined number, then the peak value is determined to meet the vehicle sway warning condition.

[0015] If the total peak value exceeds the second threshold more than a predetermined number of times within a preset period, the total peak value is determined to meet the vehicle swaying alarm condition.

[0016] According to the vehicle sway detection method based on lateral vibration acceleration provided by the present invention, the motion posture includes at least one of head shaking, upper center rolling, lower center rolling and lateral movement.

[0017] The vehicle sway detection method based on lateral vibration acceleration of the vehicle body provided by the present invention, after determining whether the peak value of the whole wave meets the vehicle sway warning condition or the vehicle sway alarm condition, further includes:

[0018] If the conditions for vehicle swaying warning or vehicle swaying alarm are met, a warning result or an alarm result is sent to the network system.

[0019] The present invention also provides a vehicle sway detection system based on the lateral vibration acceleration of the vehicle body, including a stability sensor and a stability monitoring host;

[0020] The stability sensor is electrically connected to the stability monitoring host and is used to collect the lateral vibration acceleration of the vehicle body and transmit the collected lateral vibration acceleration to the stability monitoring host.

[0021] The stability monitoring host is used to acquire the lateral vibration acceleration of the vehicle body, perform mean-removal processing on the lateral vibration acceleration; perform bandpass filtering on the harmonics of the lateral vibration acceleration according to a preset frequency range, and calculate the whole peak value of the bandpass filtered harmonics. The frequency range is determined based on the suspension parameters of the vehicle body, the suspension modes of the vehicle body under motion posture are calculated, and the suspension modes are determined accordingly; and it is determined whether the whole peak value meets the sway warning condition or the sway alarm condition.

[0022] According to the vehicle sway detection system based on lateral vibration acceleration of the vehicle body provided by the present invention, the stability sensor includes an acceleration sensor, a connecting cable, and a connector; the acceleration sensor is electrically connected to the stability monitoring host through the connecting cable and the connector.

[0023] According to the vehicle body sway detection system based on lateral vibration acceleration provided by the present invention, the acceleration sensor is fixedly installed on the end base frame 1000mm away from the center of the bogie under the vehicle body. The longitudinal installation range is -550mm to +550mm, and the lateral installation range is 0mm to 1500mm towards the center of the vehicle body.

[0024] According to the vehicle sway detection system based on lateral vibration acceleration provided by the present invention, the stability monitoring host is also used to send early warning results or alarm results to the network system.

[0025] The present invention provides a method and system for detecting vehicle swaying based on lateral vibration acceleration of the vehicle body. This method acquires the lateral vibration acceleration of the vehicle body, performs mean-reduction processing on the lateral vibration acceleration, bandpass filters the harmonics of the lateral vibration acceleration according to a preset frequency range, and calculates the integer peak value of the bandpass-filtered harmonics. The frequency range is determined based on the suspension parameters of the vehicle body, the suspension modes of the vehicle body under motion, and the suspension modes. Finally, it determines whether the integer peak value meets the swaying warning or alarm conditions. This method effectively identifies swaying phenomena while avoiding false alarms when the vehicle passes through stations, switches, and other sections. The algorithm is simple, computationally efficient, and achieves fast, efficient, and accurate real-time diagnosis of low-frequency swaying phenomena. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in this 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 some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0027] Figure 1This is a flowchart illustrating the vehicle sway detection method based on lateral vibration acceleration of the vehicle body provided by the present invention.

[0028] Figure 2 This is an overall flowchart of the vehicle sway detection method based on lateral vibration acceleration of the vehicle body provided by the present invention;

[0029] Figure 3 This is the root locus diagram of a suspension mode in this invention;

[0030] Figure 4 This is a schematic diagram of the continuous harmonic characteristics of a typical low-frequency swaying vehicle in this invention;

[0031] Figure 5 This is a schematic diagram of the vehicle sway detection system based on lateral vibration acceleration of the vehicle body provided by the present invention;

[0032] Figure 6 This is a schematic diagram of the installation position of the acceleration sensor in this invention.

[0033] Figure label:

[0034] 51. Stability monitoring host; 52. Stability sensor; 521. Accelerometer; 522. Connector; 523. Connecting cable. Detailed Implementation

[0035] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0036] In the description of this invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are used only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, in the description of the invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0037] The following is combined with Figure 1 and Figure 2The present invention describes a vehicle sway detection method based on lateral vibration acceleration of the vehicle body. In an optional embodiment of the present invention, the method is executed by a stability monitoring host, which includes, but is not limited to, terminals such as desktop computers, laptops, PDAs, and mobile phones.

[0038] like Figure 1 As shown, the vehicle sway detection method based on lateral vibration acceleration of the vehicle body provided by the present invention includes the following steps:

[0039] S1. Obtain the lateral vibration acceleration of the vehicle body.

[0040] The lateral vibration acceleration of the vehicle body is collected by a stability sensor, which is fixedly installed on the vehicle body chassis. The stability sensor can collect the lateral, longitudinal, and vertical acceleration values ​​of the vehicle body and convert them into electrical signals, which are then sent to the stability monitoring host.

[0041] S2. The lateral vibration acceleration is processed to remove the mean.

[0042] In this step, the lateral vibration acceleration is mean-removed. This process removes the trend term of the harmonics in the lateral vibration acceleration when the vehicle passes through a curve in the track, ensuring that the harmonics of the lateral vibration acceleration fluctuate around zero, which facilitates the calculation of the whole wave peak value. Mean removal involves subtracting the mean of each dimension from the mean of the corresponding dimension, so that all dimensions of the input data are centered at 0.

[0043] S3. Perform bandpass filtering on the harmonics of lateral vibration acceleration according to a preset frequency range, and calculate the whole peak value of the bandpass-filtered harmonics. The frequency range in this step is determined based on the suspension parameters of the vehicle body, the suspension modes of the vehicle body under motion posture, and the suspension modes.

[0044] The suspension parameters of the vehicle body include, but are not limited to, the stiffness and damping parameters of suspension components such as secondary air springs, lateral dampers, anti-hunting dampers, and traction rods. In an optional embodiment of the present invention, the motion posture includes at least one of yaw, upper roll, lower roll, and lateral movement. For example, in this step, the suspension modes of the vehicle body under yaw, upper roll, lower roll, and lateral movement postures can be simulated and calculated using vehicle dynamics software Simpack, and the frequency range of the bandpass filter can be determined based on the calculated suspension modes, with the lower limit of the frequency range being F1 and the upper limit being F2. As an example, Figure 3The root locus diagram of a suspension mode obtained through simulation calculation using the vehicle dynamics software Simpack shows that the frequencies of the car body's suspension modes are all within 3Hz. Combined with bench test results and track sway characteristic data, the frequency range between F1 and F2 is determined to be 0.2-3Hz. Here, F1 represents the lowest frequency of the suspension mode under the aforementioned head-on, upper-center roll, lower-center roll, and lateral movement postures, while F2 represents the highest frequency of the suspension mode obtained from the root locus diagram and the bench test results and track sway characteristic data. By setting upper and lower limits for the frequency range, interference frequencies (i.e., frequencies exceeding this range) can be removed, avoiding false alarms when the vehicle passes through stations, switches, and other sections.

[0045] In step S3, bandpass filtering can further remove the trend term of harmonics in the transverse vibration acceleration. For example... Figure 4 As shown, the difference between the highest and lowest values ​​of the harmonics of the filtered transverse vibration acceleration is the peak-to-peak value of the whole wave. The peak-to-peak value of the whole wave divided by 2 is the peak value of the whole wave. To calculate the peak value of the whole wave, it is necessary to pass through the zero point, that is, only the peak value of the harmonics of the transverse vibration acceleration that pass through the zero point is calculated.

[0046] S4. Determine whether the peak value of the entire wave meets the conditions for vehicle sway warning or vehicle sway alarm.

[0047] like Figure 2 As shown, in this step, the stability monitoring host needs to calculate the number of times the peak value of the lateral vibration acceleration exceeds the sway threshold within a preset period. If the number of times the peak value exceeds the sway threshold within the preset period is more than a predetermined number, it is determined that the peak value meets the sway warning condition or the sway alarm condition. The preset period and sway threshold can be preset according to the actual operating conditions of different vehicles, and this invention does not impose any limitations on them.

[0048] In a preferred embodiment of the present invention, the vehicle sway threshold includes two first thresholds and two second thresholds. The first threshold is a vehicle sway warning threshold, and the second threshold is a vehicle sway alarm threshold. The absolute value of the first threshold is less than the absolute value of the second threshold.

[0049] Specifically, if the peak value exceeds the first threshold more times than a predetermined number of times within a preset period, but exceeds the second threshold less times than a predetermined number of times, the peak value is determined to meet the sway warning condition, indicating that the vehicle is experiencing slight lateral swaying. If the peak value exceeds the second threshold more times than a predetermined number of times within a preset period, the peak value is determined to meet the sway alarm condition, indicating that the vehicle is experiencing significant lateral swaying.

[0050] The following is based on Figure 4 Let's take a specific example to illustrate this. For example... Figure 4As shown, in an optional embodiment of the present invention, the preset period can be set to 20s, the two first thresholds are -0.02g and 0.02g (g is the gravitational acceleration), the two second thresholds are -0.03g and 0.03g, and the predetermined number of times is set to 3. It can be seen that... Figure 4 If the peak value of the transverse vibration acceleration exceeds the second threshold more than three times within the time periods of 20s-40s, 40s-60s, 80s-100s, 100s-120s, and 120s-140s, then the peak value of the entire wave meets the conditions for vehicle swaying alarm.

[0051] In an optional embodiment of the present invention, after determining whether the peak value of the entire wave meets the conditions for vehicle sway warning or vehicle sway alarm, the method further includes:

[0052] S5. If the conditions for a swaying warning or a swaying alarm are met, send the warning result or alarm result to the network system. In an optional embodiment of the present invention, the network system is a Train Control and Monitoring System (TCMS).

[0053] By implementing the aforementioned method for detecting swaying based on the lateral vibration acceleration of the vehicle body, effective monitoring of swaying phenomena during rail vehicle operation can be achieved. This also ensures that no false alarms occur when the rail vehicle passes through stations, switches, or other sections. By sending early warning or alarm results to the rail vehicle's network system, staff can promptly identify abnormal swaying phenomena, providing a reference for improving the ride comfort of rail vehicles. Furthermore, it provides data support for condition-based maintenance. Condition-based maintenance is a predictive maintenance system. Through condition monitoring and technical diagnosis of the vehicle, faults and operational status of equipment can be monitored at any time. Based on the current condition of the equipment, it can be determined whether maintenance is needed, the appropriate maintenance time, and the necessary equipment. Items not requiring maintenance are spared, avoiding blind maintenance.

[0054] Based on the same inventive concept, this invention also provides a vehicle sway detection system based on lateral vibration acceleration of the vehicle body. The vehicle sway detection system based on lateral vibration acceleration of the vehicle body provided by this invention will be described below. The vehicle sway detection system based on lateral vibration acceleration of the vehicle body described below can be referred to in correspondence with the vehicle sway detection method based on lateral vibration acceleration of the vehicle body described above.

[0055] like Figure 5As shown, the sway detection system based on lateral vibration acceleration of the vehicle body provided by this invention includes a stability sensor 52 and a stability monitoring host 51. One or more stability monitoring hosts 51 can be installed on each rail vehicle, and each stability monitoring host 51 is electrically connected to a corresponding stability sensor 52. Using the lateral acceleration data collected by this system, when the vehicle body experiences lateral sway, the lateral vibration acceleration exhibits low-frequency harmonic characteristics, which are not present in normally moving vehicles. Therefore, based on the low-frequency harmonic characteristics of the lateral vibration acceleration during lateral sway, a bandpass filter is used to calculate the integer peak value of the lateral vibration acceleration, thereby identifying low-frequency sway.

[0056] As a preferred embodiment of the present invention, two stability sensors 52 and a corresponding stability monitoring host 51 can be installed in each car body (including the lead car and the tail car) of the rail vehicle to monitor the lateral swaying of each car body.

[0057] The stability monitoring host 51 is a plug-in electronic device that has the functions of monitoring the stability of the train body, data acquisition and storage, and communication with the train network.

[0058] The stability sensor 52 is electrically connected to the stability monitoring host 51 and is used to collect the lateral vibration acceleration of the vehicle body and transmit the collected lateral vibration acceleration to the stability monitoring host 51. The stability sensor 52 can collect the lateral, longitudinal, and vertical acceleration values ​​of the vehicle body and convert them into electrical signals, which are then sent to the stability monitoring host 51.

[0059] The stability monitoring host 51 is used to execute the above-mentioned vehicle sway detection method based on the lateral vibration acceleration of the vehicle body, including:

[0060] Obtain the lateral vibration acceleration of the vehicle body;

[0061] The lateral vibration acceleration is processed to remove the mean.

[0062] The harmonics of lateral vibration acceleration are bandpass filtered according to a preset frequency range, and the whole peak value of the bandpass filtered harmonics is calculated. The frequency range is determined based on the suspension parameters of the vehicle body, the suspension modes of the vehicle body under motion attitude are calculated, and the suspension modes are determined accordingly.

[0063] Determine whether the peak value of the entire wave meets the conditions for vehicle sway warning or vehicle sway alarm.

[0064] like Figure 3 As shown, the stability sensor 52 includes an acceleration sensor 521, a connecting cable 523, and a connector 522. The acceleration sensor 521 is electrically connected to the stability monitoring host 51 via the connecting cable 523 and the connector 522.

[0065] The acceleration sensor 521 is fixedly mounted on the end frame 1000mm from the center of the bogie under the vehicle body. The longitudinal mounting range is -550mm to +550mm, and the lateral mounting range is 0mm to 1500mm towards the center of the vehicle body.

[0066] The acceleration sensor 521 is fixedly mounted on the end frame of the vehicle body. The end frame is the frame at both ends of the bottom of the vehicle body. As an optional embodiment of the present invention, such as... Figure 5 As shown ( Figure 5 This is a bottom view of the vehicle body, with the zero point of the coordinate axis representing the center of the vehicle body, and the two cross points on either side of the zero point representing the center of the bogie. The acceleration sensor 521 can be installed on the end frame 1000mm away from the center of the bogie under the vehicle body (i.e., Figure 6 (at the two circles in the middle), longitudinally (i.e.) Figure 6 The allowable installation range (in the Y-axis direction) is -550mm to +550mm, meaning that with the circle as the center, it can move vertically up and down by 550mm to accommodate different types of vehicle bodies; the lateral (i.e., Figure 6 The installation range (in the X-axis direction) is 0mm to 1500mm in the direction towards the center of the vehicle body, that is, it can be moved 0mm to 1500mm to the side perpendicular to the Y-axis and towards the Y-axis to adapt to different types of vehicle bodies.

[0067] In an optional embodiment of the present invention, the stability monitoring host 51 is also used to send early warning results or alarm results to the network system, so that staff can identify abnormal swaying phenomena in a timely manner through the network system, providing a reference for improving the riding comfort of the rail vehicle, and also providing data support for the condition maintenance of the rail vehicle.

[0068] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0069] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0070] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for detecting vehicle swaying based on lateral vibration acceleration of the vehicle body, characterized in that, include: Obtain the lateral vibration acceleration of the vehicle body; The lateral vibration acceleration is subjected to mean-removal processing; The harmonics of the lateral vibration acceleration are bandpass filtered according to a preset frequency range, and the whole peak value of the bandpass filtered harmonics is calculated; the frequency range is determined based on the suspension parameters of the vehicle body, the suspension modes of the vehicle body under motion posture are calculated, and the suspension modes are determined accordingly. Determine whether the total peak value meets the conditions for vehicle sway warning or vehicle sway alarm.

2. The vehicle sway detection method based on lateral vibration acceleration of the vehicle body according to claim 1, characterized in that, Determining whether the total peak value meets the conditions for vehicle sway warning or vehicle sway alarm specifically includes: If the number of times the peak value exceeds the vehicle sway threshold within a preset period is greater than a predetermined number, the peak value is determined to meet the vehicle sway warning condition or the vehicle sway alarm condition.

3. The vehicle sway detection method based on lateral vibration acceleration of the vehicle body according to claim 2, characterized in that, The vehicle sway threshold includes two first thresholds and two second thresholds. The first threshold is a vehicle sway warning threshold, and the second threshold is a vehicle sway alarm threshold. The absolute value of the first threshold is less than the absolute value of the second threshold.

4. The vehicle sway detection method based on lateral vibration acceleration of the vehicle body according to claim 3, characterized in that, If the number of times the peak value exceeds the vehicle sway threshold within a preset period is greater than a predetermined number, the peak value is determined to meet the vehicle sway warning condition or the vehicle sway alarm condition, specifically including: If the number of times the peak value exceeds the first threshold within a preset period is greater than a predetermined number, and the number of times it exceeds the second threshold is less than a predetermined number, then the peak value is determined to meet the vehicle sway warning condition. If the total peak value exceeds the second threshold more than a predetermined number of times within a preset period, the total peak value is determined to meet the vehicle swaying alarm condition.

5. The method for detecting vehicle swaying based on lateral vibration acceleration of the vehicle body according to claim 1, characterized in that, The movement postures include at least one of the following: head shaking, upper body rolling, lower body rolling, and lateral movement.

6. The method for detecting vehicle swaying based on lateral vibration acceleration of the vehicle body according to claim 1, characterized in that, After determining whether the peak value of the entire wave meets the conditions for vehicle sway warning or vehicle sway alarm, the following steps are also included: If the conditions for vehicle swaying warning or vehicle swaying alarm are met, a warning result or an alarm result is sent to the network system.

7. A vehicle sway detection system based on lateral vibration acceleration of the vehicle body, characterized in that, Includes stability sensors and stability monitoring units; The stability sensor is electrically connected to the stability monitoring host and is used to collect the lateral vibration acceleration of the vehicle body and transmit the collected lateral vibration acceleration to the stability monitoring host. The stability monitoring host is used to acquire the lateral vibration acceleration of the vehicle body, perform mean-removal processing on the lateral vibration acceleration; perform bandpass filtering on the harmonics of the lateral vibration acceleration according to a preset frequency range, and calculate the whole peak value of the bandpass filtered harmonics. The frequency range is determined based on the suspension parameters of the vehicle body, the suspension modes of the vehicle body under motion posture are calculated, and the suspension modes are determined accordingly; and it is determined whether the whole peak value meets the sway warning condition or the sway alarm condition.

8. The vehicle sway detection system based on lateral vibration acceleration of the vehicle body according to claim 7, characterized in that, The stability sensor includes an accelerometer, a connecting cable, and a connector; the accelerometer is electrically connected to the stability monitoring host via the connecting cable and the connector.

9. The vehicle sway detection system based on lateral vibration acceleration of the vehicle body according to claim 8, characterized in that, The acceleration sensor is fixedly installed on the end frame 1000mm away from the center of the bogie under the vehicle body. The longitudinal installation range is -550mm to +550mm, and the lateral installation range is 0mm to 1500mm towards the center of the vehicle body.

10. The vehicle sway detection system based on lateral vibration acceleration of the vehicle body according to claim 7, characterized in that, The stable monitoring host is also used to send early warning results or alarm results to the network system.

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