Wheelset geometry measurement method, system and device

Abstract

The present invention discloses a wheelset geometry measurement method, system, and device, relating to the field of rail transit wheelset measurement technology. The measurement method comprises the following steps: S1: When a train wheelset reaches a first trigger sensor, a first laser sensor combination and a second laser sensor combination are triggered to continuously collect wheel tread profile data between the two; when the train wheelset reaches a second trigger sensor, data collection stops; S2: A dynamic coordinate system for wheel motion is constructed to obtain the relationship between the wheel diameter and the collected data, generate wheelset geometry through real-time calculation, and output the wheelset geometry. The present invention utilizes fuzzy trigger control logic, which allows acquisition of vehicle wheelset tread data and extraction of the optimal profile without precise trigger control, thereby eliminating wheel geometry parameter measurement errors caused by positioning errors in traditional laser measurement methods.

Description

Technical Field

[0001] The present invention relates to the technical field of rail transit wheelset measurement, and more particularly to a wheelset geometry measurement method, system and device. Background Art

[0002] Wheelsets are critical components on railway locomotives, bearing the weight of the entire train and transmitting the forces between the wheels and rails. During operation, wheelsets are subject to significant dynamic and static loads, as well as assembly stresses. The wheelset treads constantly rub against the rail surface, gradually wearing out. Wear caused by friction between the wheel flange and the inner surface of the rail occurs primarily when the train negotiates curves or turns. Furthermore, the wheelset material, as well as braking, impacts, and other factors during operation, can cause damage to the tread and changes in its geometry. These factors can affect the train's performance and, in severe cases, pose safety risks. Therefore, all wheelset parameters require regular inspection.

[0003] Traditional wheelset inspection relies on maintenance personnel using handheld / portable instruments, such as wheel gauges and four-gauge rulers, to measure and inspect each wheel individually during scheduled locomotive outages, and record the measurements manually. This approach places a heavy workload on maintenance personnel, results in poor test accuracy, and is extremely inefficient. As trains move toward heavier loads and higher speeds, this regular, manual, and static inspection method is no longer adaptable to the demands of shortening maintenance cycles, improving measurement accuracy, and conducting large-scale, large-scale inspections. Therefore, it is necessary to develop a dynamic wheelset geometry measurement method and a measuring device to enable online measurement of wheelset geometry while the train is in motion.

[0004] Currently, methods for dynamic measurement of wheelset geometry both domestically and internationally can be categorized into contact and non-contact measurement methods. A typical contact measurement method is vibration measurement, which typically involves placing an accelerometer or strain gauge at a specific rail location where the wheel passes to capture vibration and impact signals from the wheel, allowing analysis of defects such as wheel tread damage. This method has relatively limited detection indicators, and the error in analyzing wheelset defects using vibration and impact signals is large, making it inaccurate for wheelset fault detection. Currently, non-contact measurement methods are more commonly used for measuring wheelset geometry, with laser measurement being the most widely used non-contact measurement method.

[0005] like Figure 1As shown in the figure, the hardware involved in the traditional laser measurement method for wheelset geometry is two pairs of four laser sensors (one wheel on each side) arranged in a front-to-back arrangement, and a trigger sensor located in the middle of the two sensor groups. It uses a fixed-point precision triggering method. When the wheel moves between the two laser sensors and the trigger sensor generates a trigger signal, the front and rear laser sensors are triggered to complete the laser line scanning acquisition. This method requires that when the trigger signal is generated, the wheel is exactly in the middle of sensor 1 and sensor 2 to ensure the accuracy of the calculation results.

[0006] like Figure 2 and 3 As shown in the figure, the various parameter definitions of the traditional laser measurement method for wheelset geometry are shown. In actual usage scenarios, only when the wheel is exactly in the middle of sensor 1 and sensor 2, triggering and collecting profile data, the α angle and the β angle are consistent. At this time, the wheel diameter can be calculated using the following equation:

[0007]

[0008] The above-mentioned traditional laser measurement method has high requirements for trigger position accuracy. Only when the distances L1 and L2 are ensured to be consistent can the wheelset geometric parameters be accurately calculated. Since the vehicle is in a dynamic running state during the sensor detection and the driving speed is inconsistent each time, the detection results of this method are easily affected by the random fluctuation errors of the trigger sensor and have poor reliability. Summary of the Invention

[0009] In order to overcome the above-mentioned defects in the prior art, the present invention discloses a wheelset geometry measurement method, system and device to solve the problem that the detection results of the traditional laser measurement method in the prior art are easily affected by the random fluctuations of the trigger sensor and have poor reliability. Figure 4 As shown, the detection module consists of two parts, the left and right sides of the rail. The left rail is equipped with a first trigger sensor, a first laser sensor, a second laser sensor, and a second trigger sensor, while the right rail is equipped with a third trigger sensor, a third laser sensor, a fourth laser sensor, and a fourth trigger sensor. The left and right detection modules are identical and symmetrically installed. The following example uses the passage of a wheel on the left rail. When a train wheelset passes the first trigger sensor on the rail, it triggers the first and second laser sensors on the rail in front of it to continuously collect wheel tread profile data between them. Using fuzzy trigger control logic, the vehicle wheelset tread data can be acquired and the optimal profile extracted without precise trigger control, eliminating the wheel geometry parameter measurement errors caused by positioning errors of traditional laser measurement methods.

[0010] In order to achieve the above objectives, the present invention adopts the following technical solutions:

[0011] In a first aspect, the present invention provides a wheelset geometry measurement method, comprising the following steps:

[0012] 1. Data Collection

[0013] S1: When the train wheelset moves to the first trigger sensor, the first laser sensor combination and the second laser sensor combination are triggered to continuously collect wheel tread profile data between the two; when the train wheelset moves to the second trigger sensor, data collection stops;

[0014] In the present invention, the wheel tread profile data between the first laser sensor combination and the second laser sensor combination is continuously collected. The advantage of continuous collection is that a large amount of tread profile data can be collected, and then the optimal profile can be extracted. If it is only collected once, it is necessary to collect when the wheel is located exactly in the middle of the first laser sensor combination and the second laser sensor combination. This places very high demands on the triggering accuracy and is also prone to introducing errors due to triggering accuracy deviation.

[0015] In the present invention, when storing the profile data of several wheelsets on a train, fixed binary codes are used to mark and segment the data of each wheelset so as to distinguish the data corresponding to different wheelsets.

[0016] In step S1, after the first laser sensor combination and the second laser sensor combination collect wheel tread profile data, when the wheelset moves to the second trigger sensor in front of the first laser sensor combination and the second laser sensor combination, the first laser sensor combination and the second laser sensor combination stop data collection.

[0017] Preferably, on the same side rail, first laser sensors are respectively provided on the inner and outer sides of the rail, and the two first laser sensors constitute a first laser sensor combination; second laser sensors are respectively provided on the inner and outer sides of the rail, and the two second laser sensors constitute a second laser sensor combination.

[0018] Preferably, the first laser sensor combination and the second laser sensor combination are arranged on the rails on both sides of the track.

[0019] In this invention, the single-side wheel data collection system consists of two pairs of four laser sensors, plus a trig trigger sensor located in front of and behind each sensor. The four sensors are symmetrically mounted on the inside and outside of the rails, as well as the front and rear. When the train reaches trig1, the laser sensors 1 and 2 trigger detection, continuously collecting wheel tread profile data. Data collection ends when the wheel continues to trig2. This completes the collection of raw wheel tread geometry profile data for a set of wheelsets.

[0020] 2. Data Processing

[0021] S2. Construct a dynamic coordinate system for wheel motion, obtain the relationship between the wheel diameter and the collected data, generate wheelset geometric dimensions through real-time calculation, and output the wheelset geometric dimensions.

[0022] Preferably, after completing the data collection in step S1 and before step S2, the method further includes: performing data fusion, smoothing and ring-by-ring matching processing on the continuously collected wheel tread profile data sets to obtain the optimal wheelset profile.

[0023] Preferably, performing data fusion, smoothing, and ring-by-ring matching on the continuously collected wheel tread profile data sets to obtain the optimal wheelset profile specifically includes:

[0024] fusing the tread profile data collected by the first laser sensor assembly and the second laser sensor assembly from the inner and outer sides of the rail to obtain a complete tread profile of the wheel;

[0025] Smoothing the continuously collected wheel tread profile data set to filter out abnormal jump points;

[0026] The data after the first laser sensor combination fusion and smoothing processing is matched with the data after the second laser sensor combination fusion and smoothing processing, and an optimal profile of a set of wheel wheels is obtained.

[0027] In the present invention, after collecting continuous wheel tread profile data, the profile data sets continuously collected by the first laser sensor and the second laser sensor are fused, the fused data are smoothed, and then the data are matched ring by ring. The two sets of profile data with the highest similarity are the optimal profiles.

[0028] Preferably, in step S2, the wheelset geometric dimensions include wheel diameter, rim height, rim thickness, rim Qr value and wheelset inner distance.

[0029] In the present invention, the wheel diameter can be calculated in the following manner:

[0030] Preferably, in step S2, the wheel diameter of the wheelset is:

[0031]

[0032] Where R is the wheel diameter, L1 is the distance between the first laser sensor and the lowest point of the wheel circumference, L2 is the distance between the second laser sensor and the lowest point of the wheel circumference, α is the angle of the outgoing light of the first laser sensor, β is the angle of the outgoing light of the second laser sensor, Ɩ1 is the measurement value of the first laser sensor, and Ɩ2 is the measurement value of the second laser sensor.

[0033] The relationship between the outputs Ɩ1 and Ɩ2 of the two laser sensors and the diameter R of the wheel being measured can be obtained through the various measurement parameters mentioned above.

[0034] In the present invention, the wheel tread profile can be drawn based on the collected wheel tread profile data, but its specific dimensions cannot be determined. The above calculation of the wheel diameter provides the specific value of the wheel diameter. Combining the wheel tread profile with the wheel diameter allows the specific dimensions of the wheel tread profile to be determined.

[0035] In the present invention, geometric dimensions such as rim height, rim thickness, rim Qr value, and wheelset inner distance can also be obtained by calculation, as follows:

[0036] Rim height: Draw a perpendicular line from the base point that intersects the reference plane, and draw a parallel line from the rim vertex that is parallel to the perpendicular line. The distance between the two lines is the rim height.

[0037] Rim thickness: Draw a straight line perpendicular to the inner side of the wheel, and make the distance between the straight line and the base point 12mm. The straight line intersects with the rim, and the distance between the two intersection points is the rim thickness value.

[0038] Qr value of wheel rim: A vertical line drawn 12mm upward from the rolling circle tread reference line intersects with the inner side of the wheel rim, and a vertical line drawn 2mm downward from the top of the wheel rim intersects with the inner side of the wheel rim. The horizontal distance between these two intersections is the Qr value.

[0039] Wheel diameter: Due to the slope of the wheel tread, the diameter varies from place to place. The diameter measured at L2 (70mm) inside the wheel rim is the nominal diameter, which is used as the wheel diameter (rolling circle diameter), also referred to as the wheel diameter.

[0040] Wheelset inner distance: The horizontal distance between the inner sides of the wheelset is the wheelset inner distance.

[0041] In a second aspect, based on the above-mentioned wheelset geometry measurement method, the present invention further provides a wheelset geometry measurement system, comprising:

[0042] A first trigger sensor, a first laser sensor, a second laser sensor, and a second trigger sensor are sequentially arranged along the length direction of the rail;

[0043] When the train wheelset travels to the first trigger sensor, the first trigger sensor triggers the first laser sensor and the second laser sensor to continuously collect wheel tread profile data therebetween;

[0044] When the train wheelset moves to the second trigger sensor, the second trigger sensor triggers the first laser sensor and the second laser sensor to stop data collection;

[0045] The data processing module receives the wheel tread profile data sent by the first laser sensor and the second laser sensor, processes the wheel tread data, obtains the wheelset geometric dimensions and outputs them.

[0046] Preferably, on the same side of the rail, two first laser sensors are provided and are located on the inner and outer sides of the rail respectively, and the two first laser sensors constitute a first laser sensor combination; two second laser sensors are provided and are located on the inner and outer sides of the rail respectively, and the two second laser sensors constitute a second laser sensor combination;

[0047] On the rails on both sides of the track, the first laser sensor assembly and the second laser sensor assembly are both arranged on the left and right rails.

[0048] In a third aspect, based on the above-mentioned wheelset geometry measurement method, the present invention further provides a wheelset geometry measurement device, comprising:

[0049] A first trigger sensor, a first laser sensor, a second laser sensor, and a second trigger sensor are arranged in sequence, wherein the first sensor and the second sensor are symmetrically arranged;

[0050] The first trigger sensor is used to trigger the first laser sensor and the second sensor to continuously collect wheel tread profile data between the first laser sensor and the second laser sensor according to the train wheel set signal;

[0051] The second trigger sensor is used to trigger the first laser sensor and the second sensor to stop data acquisition according to the train wheel set signal;

[0052] The data processing module receives the wheel tread profile data sent by the first laser sensor and the second laser sensor, processes the wheel tread data, obtains the wheelset geometric dimensions and outputs them.

[0053] Beneficial effects of the present invention:

[0054] The wheelset geometry measurement method provided by the present invention triggers the first laser sensor and the second laser sensor on the rail in front of the train wheelset to continuously collect wheel tread profile data between the first trigger sensor and the second laser sensor when the train wheelset moves to the first trigger sensor on the rail. By adopting fuzzy trigger control logic, the vehicle wheelset tread data can be obtained and the optimal profile can be extracted without precise control of the trigger, which can eliminate the wheel geometry parameter measurement error caused by the positioning error of the traditional laser measurement method.

[0055] The wheelset geometry measurement method provided by the present invention can fully obtain the wheelset geometry parameters, including wheel diameter, rim height, rim thickness, rim Qr value and wheelset inner distance, through a single detection scheme. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 Schematic diagram of traditional laser measurement method for wheelset geometry Figure 1 ;

[0057] Figure 2 Schematic diagram of traditional laser measurement method for wheelset geometry Figure 2 ;

[0058] Figure 3 Schematic diagram of traditional laser measurement method for wheelset geometry Figure 3 ;

[0059] Figure 4 This is a schematic diagram of the hardware portion of the wheelset geometry continuous laser detection of the present invention;

[0060] Figure 5 This is a schematic diagram of the geometric structure of the wheelset of the present invention;

[0061] Figure 6 Schematic diagram of the wheelset geometric parameter extraction process of the present invention;

[0062] Figure 7 Schematic diagram of the wheelset geometric diameter detection of the present invention Figure 1 ;

[0063] Figure 8 Schematic diagram of the wheelset geometric diameter detection of the present invention Figure 2 ;

[0064] Figure 9 Schematic diagram of the wheelset geometric diameter detection of the present invention Figure 3 ;

[0065] Figure 10 Schematic diagram of the geometric dimensions of the wheelset of the present invention. DETAILED DESCRIPTION

[0066] The following will provide a clear and complete description of the concept, specific structure and technical effects of the present invention in conjunction with the embodiments and drawings, so as to fully understand the purpose, features and effects of the present invention.

[0067] Example 1

[0068] A method for measuring wheelset geometry, such as Figure 7 As shown, the following steps are included:

[0069] S1: When the train wheelset moves to the first trigger sensor, the first laser sensor combination and the second laser sensor combination are triggered to continuously collect wheel tread profile data between the two; when the train wheelset moves to the second trigger sensor, data collection stops;

[0070] S2. Construct a dynamic coordinate system for wheel motion, obtain the relationship between the wheel diameter and the collected data, generate wheelset geometric dimensions through real-time calculation, and output the wheelset geometric dimensions.

[0071] In this embodiment, when a train wheelset approaches the first trigger sensor on the rail, it triggers the first and second laser sensor assemblies on the rail ahead to continuously collect wheel tread profile data between them. Unlike traditional methods, which require high trigger position accuracy and ensure that the distances L1 and L2 are essentially the same to accurately calculate wheelset geometry, this embodiment employs fuzzy trigger control logic. This eliminates the need for precise triggering (triggered by the first trigger sensor) to acquire wheelset tread data and extract the optimal profile, eliminating wheel geometry measurement errors caused by positioning errors in traditional laser measurement methods.

[0072] In step S1, after the first laser sensor combination and the second laser sensor combination collect wheel tread profile data, when the wheelset moves to the second trigger sensor in front of the first laser sensor combination and the second laser sensor combination, the first laser sensor combination and the second laser sensor combination stop data collection.

[0073] like Figure 4 As shown, on the same side of the rail, a first laser sensor is respectively provided on the inner and outer sides of the rail, and the two first laser sensors constitute a first laser sensor combination; a second laser sensor is respectively provided on the inner and outer sides of the rail, and the two second laser sensors constitute a second laser sensor combination.

[0074] The first laser sensor assembly and the second laser sensor assembly are arranged on the rails on both sides of the track.

[0075] In this embodiment, the single-side wheel data collection system consists of two pairs of four laser sensors, plus a trig trigger sensor located in front of and behind each sensor. The four sensors are symmetrically mounted on the inside and outside of the rail and on the front and rear of the rail. When the train reaches trig1, the laser sensors sensor 1 and sensor 2 trigger detection, continuously collecting wheel tread profile data. Data collection ends when the wheel continues to trig2. This completes the collection of raw wheel tread geometry profile data for a set of wheelsets.

[0076] In this embodiment, Figure 4 and 5 As shown, two sensors 1 and two sensors 2 are set on the left rail, and two sensors 3 and two sensors 4 are set on the right rail. The two sensors 1 and the two sensors 3 are both the first laser sensor combination, and the two sensors 2 and the two sensors 4 are both the second laser sensor combination.

[0077] After completing the data acquisition in step S1 and before step S2, the method further includes: performing data fusion, smoothing, and ring-by-ring matching on the continuously acquired wheel tread profile data sets to obtain the optimal wheelset profile, such as Figure 6 shown.

[0078] The step of performing data fusion, smoothing, and ring-by-ring matching on the continuously collected wheel tread profile data sets to obtain the optimal wheelset profile specifically includes:

[0079] fusing the tread profile data collected by the first laser sensor assembly and the second laser sensor assembly from the inner and outer sides of the rail to obtain a complete tread profile of the wheel;

[0080] Smoothing the continuously collected wheel tread profile data set to filter out abnormal jump points;

[0081] The data after the first laser sensor combination fusion and smoothing processing is matched with the data after the second laser sensor combination fusion and smoothing processing, and an optimal profile of a set of wheel wheels is obtained.

[0082] Example 2

[0083] This embodiment further elaborates on step S2 based on embodiment 1. In step S2, the wheel diameter of the wheelset is:

[0084]

[0085] Where R is the wheel diameter, L1 is the distance between the first laser sensor and the lowest point of the wheel circumference, L2 is the distance between the second laser sensor and the lowest point of the wheel circumference, α is the angle of the outgoing light of the first laser sensor, β is the angle of the outgoing light of the second laser sensor, Ɩ1 is the measurement value of the first laser sensor, and Ɩ2 is the measurement value of the second laser sensor. Figure 7-9 shown.

[0086] Example 3

[0087] This embodiment further explains step S2 based on embodiment 2. Figure 10 As shown, for other parameters, such as rim height, rim thickness, qr value, inner distance and other parameters, after the system obtains the laser profile detection data and wheel diameter, they can be calculated and obtained according to the definition method in the following Table 1.

[0088] Table 1 Definition of wheelset geometry

[0089]

[0090] Example 4

[0091] A wheelset geometry measurement system, comprising:

[0092] A first trigger sensor, a first laser sensor, a second laser sensor, and a second trigger sensor are sequentially arranged along the length direction of the rail;

[0093] When the train wheelset travels to the first trigger sensor, the first trigger sensor triggers the first laser sensor and the second laser sensor to continuously collect wheel tread profile data therebetween;

[0094] When the train wheelset moves to the second trigger sensor, the second trigger sensor triggers the first laser sensor and the second laser sensor to stop data collection;

[0095] The data processing module receives the wheel tread profile data sent by the first laser sensor and the second laser sensor, processes the wheel tread data, obtains the wheelset geometric dimensions and outputs them.

[0096] The first laser sensor and the second laser sensor are both arranged on the inner and outer sides of the rail, and the first laser sensor and the second laser sensor are symmetrically installed.

[0097] On the same side of the rail, two first laser sensors are provided and are located on the inner and outer sides of the rail respectively, and the two first laser sensors constitute a first laser sensor combination; two second laser sensors are provided and are located on the inner and outer sides of the rail respectively, and the two second laser sensors constitute a second laser sensor combination;

[0098] On the rails on both sides of the track, the first laser sensor assembly and the second laser sensor assembly are both arranged on the left and right rails.

[0099] In this embodiment, the distance between the first trigger sensor and the first laser sensor is 407 mm; the distance between the first laser sensor and the second laser sensor is 1100 mm; and the distance between the second laser sensor and the second trigger sensor is 407 mm.

[0100] Example 6

[0101] A wheelset geometry measuring device, comprising:

[0102] A first trigger sensor, a first laser sensor, a second laser sensor, and a second trigger sensor are arranged in sequence, wherein the first sensor and the second sensor are symmetrically arranged;

[0103] The first trigger sensor is used to trigger the first laser sensor and the second sensor to continuously collect wheel tread profile data between the first laser sensor and the second laser sensor according to the train wheel set signal;

[0104] The second trigger sensor is used to trigger the first laser sensor and the second sensor to stop data acquisition according to the train wheel set signal;

[0105] The data processing module receives the wheel tread profile data sent by the first laser sensor and the second laser sensor, processes the wheel tread data, obtains the wheelset geometric dimensions and outputs them.

[0106] The above is a detailed description of the embodiments of the present invention, but the present invention is not limited to the embodiments. Those skilled in the art may make various equivalent modifications or substitutions without departing from the spirit of the present invention. These equivalents or substitutions are all included in the scope defined by the claims of the present invention.

Claims

1. A wheelset geometry measurement method, characterized in that: The following steps are involved: S1: When the train wheelset moves to the first trigger sensor, the first laser sensor combination and the second laser sensor combination are triggered to continuously collect wheel tread profile data between the two; when the train wheelset moves to the second trigger sensor, data collection stops; S2. Constructing a dynamic coordinate system for wheel motion, obtaining the relationship between the wheel diameter and the collected data, generating wheelset geometric dimensions through real-time calculation, and outputting the wheelset geometric dimensions; After completing the data acquisition in step S1 and before step S2, the method further includes: performing data fusion, smoothing, and ring-by-ring matching on the continuously acquired wheel tread profile data sets to obtain the optimal wheelset profile, specifically including: fusing the tread profile data collected by the first laser sensor assembly and the second laser sensor assembly from the inner and outer sides of the rail to obtain a complete tread profile of the wheel; Smoothing the continuously collected wheel tread profile data set to filter out abnormal jump points; The data after the first laser sensor combination fusion and smoothing processing is matched with the data after the second laser sensor combination fusion and smoothing processing, and an optimal profile of a set of wheel wheels is obtained.

2. The wheelset geometry measurement method according to claim 1, characterized in that: On the same side of the rail, a first laser sensor is respectively arranged on the inner and outer sides of the rail, and the two first laser sensors constitute a first laser sensor combination; a second laser sensor is respectively arranged on the inner and outer sides of the rail, and the two second laser sensors constitute a second laser sensor combination.

3. The wheelset geometry measurement method according to claim 1, wherein: In step S2, the wheelset geometric dimensions include wheel diameter, rim height, rim thickness, rim Qr value and wheelset inner distance.

4. The wheelset geometry measurement method according to claim 1, wherein: In step S2, the wheel diameter is: Where R is the wheel diameter, L1 is the distance between the first laser sensor and the lowest point of the wheel circumference, L2 is the distance between the second laser sensor and the lowest point of the wheel circumference, α is the angle of the outgoing light of the first laser sensor, β is the angle of the outgoing light of the second laser sensor, Ɩ1 is the measurement value of the first laser sensor, and Ɩ2 is the measurement value of the second laser sensor.

5. The wheelset geometry measurement method according to claim 1, characterized in that: The first laser sensor assembly and the second laser sensor assembly are arranged on the rails on both sides of the track.

6. A wheelset geometry measurement system based on the wheelset geometry measurement method according to any one of claims 1 to 5, characterized in that: include: A first trigger sensor, a first laser sensor, a second laser sensor, and a second trigger sensor are sequentially arranged along the length direction of the rail; When the train wheelset travels to the first trigger sensor, the first trigger sensor triggers the first laser sensor and the second laser sensor to continuously collect wheel tread profile data therebetween; When the train wheelset moves to the second trigger sensor, the second trigger sensor triggers the first laser sensor and the second laser sensor to stop data collection; The data processing module receives the wheel tread profile data sent by the first laser sensor and the second laser sensor, processes the wheel tread data, obtains the wheelset geometric dimensions and outputs them.

7. The wheelset geometry measurement system according to claim 6, characterized in that: On the same side of the rail, two first laser sensors are provided and are located on the inner and outer sides of the rail respectively, and the two first laser sensors constitute a first laser sensor combination; two second laser sensors are provided and are located on the inner and outer sides of the rail respectively, and the two second laser sensors constitute a second laser sensor combination; On the rails on both sides of the track, the first laser sensor assembly and the second laser sensor assembly are both arranged on the left and right rails.

8. A wheelset geometry measuring device based on the wheelset geometry measuring method according to any one of claims 1 to 5, characterized in that: include: A first trigger sensor, a first laser sensor, a second laser sensor, and a second trigger sensor are arranged in sequence, wherein the first laser sensor and the second laser sensor are symmetrically arranged; The first trigger sensor is used to trigger the first laser sensor and the second laser sensor to continuously collect wheel tread profile data between the first laser sensor and the second laser sensor according to the train wheel set signal; The second trigger sensor is used to trigger the first laser sensor and the second laser sensor to stop data acquisition according to the train wheel set signal; The data processing module receives the wheel tread profile data sent by the first laser sensor and the second laser sensor, processes the wheel tread data, obtains the wheelset geometric dimensions and outputs them.

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