Gear intelligent identification device for railcar practical training system

Abstract

The utility model relates to railcar gear shifting control technical field discloses a gear intelligence identification device for railcar practical training system, and the device includes mechanical transmission module, multidimensional sensing module and signal processing module, in mechanical transmission module, the gear transmission assembly is connected to one end of the pair of offset frame, and the other end forms the movable groove with the synchronous movement of gear lever, multidimensional sensing module detects X, Y direction rotation angle through angular displacement sensor, and the linear displacement is obtained by the pull rope displacement sensor, and signal processing module transmits to practical training system after signal fusion to drive the visual linkage, the utility model realizes the high accuracy, multidimensional real -time detection of gear lever position, solves the information collection problem caused by artificial judgment in traditional practical training, improves the training immersion and practical operation effect through the visual linkage, can also automatically identify the misoperation and feedback, helps to standardize the operation, improves the training standardization degree and teaching quality.

Description

Technical Field

[0001] This utility model relates to the field of railcar shift control technology, specifically to a gear intelligent recognition device for a railcar training system. Background Technology

[0002] Railcars are specialized railway vehicles used for railway maintenance, construction, and specific transportation tasks. With the development of the railway industry, the demand for railcar driver training is increasing, and practical training systems are gradually becoming crucial teaching tools. Current training methods mainly rely on traditional theoretical instruction and on-site practice. To improve training quality, a railway bureau has modified scrapped railcars to create a training platform that simulates a real driving environment. However, the existing modification scheme still has many shortcomings in the intelligent recognition and monitoring of gear shifting operations, mainly as follows: 1. Lack of intelligent recognition methods: The gear position status of the mechanical shift lever of traditional railcars relies on manual observation and judgment, which cannot collect shift information in real time and accurately, thus affecting the quality of training.

[0003] 2. Lack of visual-scene linkage control: The existing training system cannot control the simulated driving environment in real time during gear shifting. Trainees find it difficult to intuitively feel the impact of gear changes on the vehicle, which reduces the immersion of training and the effectiveness of practical operation.

[0004] 3. Difficulty in identifying misoperation: The inability to automatically collect shift signals makes it difficult to detect and correct problems such as no shifting or incomplete shifting in a timely manner.

[0005] Currently, in the automotive industry, some mechanical gear shift levers have been upgraded with intelligent technologies, such as microswitches, Hall effect sensors, or photoelectric sensors for gear shift recognition. However, these solutions are mainly applicable to small vehicles with fewer gears and stable environments. Rail vehicles, on the other hand, have a large number of gears, long and complex transmissions, and are subject to long-term environmental factors such as vibration and impact, making existing technologies difficult to directly apply. Furthermore, the gear shift signal acquisition for rail vehicles requires higher precision and stability to ensure data accuracy and reliability.

[0006] Therefore, in response to the specific needs of the railcar training system, it is necessary to develop an intelligent gear recognition device with high precision, high stability, and multi-dimensional monitoring capabilities. This device will enable real-time acquisition and accurate recognition of gear shifting status, as well as linkage control with the training scene. This will be a key technological breakthrough for improving the standardization of training and enhancing the immersive experience of operation, and will be of great significance for promoting the intelligent upgrading of railcar training equipment. Utility Model Content

[0007] The object of the present utility model is to provide an intelligent gear position recognition device for a rail car training system. The device combines an angular displacement sensor to realize X-direction and Y-direction angle detection, a rope displacement sensor to collect absolute displacement, and a signal processing module, so as to realize high-precision, multi-dimensional detection of the position state of the shift lever, thereby sensing the angle change and displacement information of the shift lever, transmitting data to the rail car training system in real time, realizing linked control of shift operation and simulated scene, and ultimately improving the standardization degree of shift operation, the real-time monitoring accuracy of training and teaching quality, allowing trainees to more intuitively feel the influence of gear position change on the vehicle and correct non-standard operations in time.

[0008] The utility model is realized through the following technical solution: An intelligent gear position recognition device for a rail car training system, comprising: a mechanical transmission module, comprising a base, offset frames and a gear transmission assembly, wherein the offset frames are arranged in pairs, one end of each offset frame is connected with the input end of the corresponding gear transmission assembly, the other ends of the offset frames intersect, a movable groove matched with the shift lever is formed at the intersection, and the offset frames move synchronously with the shift lever; a multi-dimensional sensing module, comprising at least two angular displacement sensors and a rope displacement sensor, wherein the angular displacement sensors are respectively arranged below the gear transmission assembly and connected with the output end of the gear transmission assembly, and are used for detecting the rotation angles of the shift lever in X direction and Y direction, and the rope displacement sensor is mechanically connected with the shift lever and is used for acquiring the linear displacement information of the shift lever at each gear position; a signal processing module electrically connected with the multi-dimensional sensing module, which is used for receiving and processing sensing signals to recognize gear positions, and transmitting the recognition result to the rail car training system.

[0009] In this solution, the offset frames arranged in pairs, with a movable groove matched with the shift lever formed at the intersection, move synchronously with the shift lever and link the gear transmission assembly; combined with detection of X-direction and Y-direction rotation angles of the shift lever by at least two angular displacement sensors, acquisition of linear displacement information at each gear position by the rope displacement sensor, and fusion processing of multi-dimensional sensing signals by the signal processing module followed by transmission to the training system, high-precision, multi-dimensional real-time detection of the position state of the shift lever of the rail car can be realized, which effectively solves the problems of untimely and inaccurate information collection caused by relying on manual observation to judge gear position in traditional rail car training. Through scene linkage with the training system, trainees can intuitively feel the influence of gear position change on the vehicle, which improves the immersion and practical training effect. Meanwhile, wrong operations such as no shifting and incomplete shifting can be automatically recognized and fed back in time, which helps standardize trainees' operations and improves the standardization degree of training and teaching quality.

[0010] As a further technical solution for the identification device, the offset frames arranged in pairs are orthogonally arranged in the same horizontal plane.

[0011] In this design, paired offset frames are orthogonally positioned on the same horizontal plane, precisely matching the movement trajectory of the shift lever. This ensures that the shift lever's movement in the X and Y directions can be synchronously transmitted to the gear transmission assembly via the corresponding offset frames. This allows the two angular displacement sensors to independently and accurately detect the shift lever's rotation angle in the X and Y directions, avoiding signal interference or detection blind spots caused by improper offset frame orientation. This improves the independence and accuracy of angle detection, providing reliable raw data support for the subsequent signal processing module to calculate the shift lever's position coordinates through multi-dimensional data fusion, thus ensuring the accuracy of gear identification. Furthermore, this orthogonal structural design makes the overall layout of the device more suitable for the operating space of the railcar's shift lever, enhancing the stability and reliability of the mechanical transmission.

[0012] As a further technical solution for the identification device, the gear transmission assembly includes a large gear and a small gear. The large gear is rotatably connected to the offset frame through a bearing, and the small gear meshes with the large gear. The output end of the small gear is connected to the angular displacement sensor.

[0013] In this scheme, the gear transmission assembly adopts a structure in which a large gear is rotatably connected to the offset frame through a bearing, a small gear meshes with the large gear, and the output end is connected to an angular displacement sensor. This allows the large gear to rotate synchronously with the shift lever when the offset frame drives it. The rotational motion of the large gear can be accurately transmitted through meshing with the small gear. The transmission relationship between the gears amplifies the minute angle changes of the shift lever, thereby improving the sensitivity of the angular displacement sensor to detect minute operations.

[0014] As a further technical solution for the identification device, the gear ratio between the large gear and the small gear is in the range of 1:2 to 1:5. By using a reasonable gear transmission ratio, the minute angle changes of the shift lever are effectively amplified, ensuring that the angular displacement sensor can accurately capture the subtle operations during the shifting process. This meets the needs of multi-gear and high-precision detection of railcars, while avoiding detection errors caused by excessive signal amplification due to an excessively large gear ratio, or problems caused by insufficient signal amplification and reduced detection sensitivity due to an excessively small gear ratio.

[0015] As a further technical solution for the identification device, a rectangular through hole along the length direction is provided in the middle of the offset frame. The shift lever can move along the rectangular through hole to ensure that the shift lever maintains a stable trajectory during its movement in the X and Y directions, avoiding mechanical transmission errors caused by shift lever wobbling or offset. At the same time, the structure of the rectangular through hole is adapted to the operating range of the shift lever, which does not restrict the normal movement range of the shift lever, and can reduce unnecessary displacement interference through the fit between the hole wall and the shift lever, so that the offset frame can move more accurately in sync with the shift lever, thereby ensuring the accuracy of the gear transmission assembly and sensor in detecting the shifting action.

[0016] As a further technical solution for the identification device, the base is integrally formed from high-strength metal material, and its surface is provided with multiple mounting holes. It is fastened to the base of the railcar shift lever by bolts, which is used to effectively resist the influence of external forces such as vibration and impact that may occur during railcar training, and to avoid transmission errors or sensor detection deviations caused by base deformation.

[0017] As a further technical solution for the identification device, in order to improve the response speed and detection accuracy of the entire device and better meet the needs of the railcar training system for real-time and accurate monitoring of gear shifting operations, the signal processing module includes an industrial-grade microcontroller. The industrial-grade microcontroller integrates an A / D conversion module to convert the analog signal output by the multi-dimensional sensing module into a digital signal.

[0018] As a further technical solution for the identification device, the industrial-grade microcontroller is connected to a non-volatile memory unit, which stores a gear position mapping table. The gear position mapping table is generated by multiple measurements and calibrations of the actual gear shifting stroke of the railcar.

[0019] As a further technical solution for the identification device, the angular displacement sensor is a magnetoelectric angle sensor.

[0020] As a further technical solution for the identification device, the signal processing module is equipped with a serial communication interface, which is an RS485 interface.

[0021] Compared with the prior art, this utility model has the following advantages and beneficial effects: 1. This utility model is designed for the characteristics of railcars, which have multiple gears, complex transmission, and are subject to long-term vibration and impact, by using a pair of orthogonally arranged offset frames, a gear transmission assembly containing large and small gears, and a multi-dimensional sensing module combining angular displacement sensor and pull rope displacement sensor. It overcomes the limitations of existing gear shift recognition schemes in the automotive field, which are only applicable to small vehicles and difficult to adapt to the complex working conditions of railcars. It achieves high-precision, multi-dimensional detection of the X-axis and Y-axis angles and linear displacement of the gear shift lever, and the detection stability and anti-interference ability are stronger. 2. This utility model can accurately identify the current gear by fusing and processing the sensor signals through the signal processing module and comparing them with the pre-stored gear position mapping table. It can also drive the visual linkage of the training system through serial communication, allowing trainees to intuitively feel the impact of gear changes on the vehicle, thereby enhancing the immersion of training and the practical effect. Attached Figure Description

[0022] The accompanying drawings, which are included to provide a further understanding of the embodiments of the present invention and form part of this application, do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the overall structure of the gear position intelligent recognition device. Figure 2 This is a schematic diagram showing the installation of the offset frame, gear transmission assembly, and angular displacement sensor; Figure 3 Interface table for the gear shift lever of the intelligent gear recognition device; Figure 4 A schematic diagram of the neutral gear signal data acquisition interface of the intelligent gear position recognition device; Figure 5 A schematic diagram of the gear signal acquisition data interface of the intelligent gear recognition device; Figure 6 This is a schematic diagram of the gear-speed-real-scene linkage of the gear intelligent recognition device.

[0023] The attached diagram shows the markings and corresponding component names: 1-Angular displacement sensor, 2-Wire rope displacement sensor, 3-Offset bracket, 4-Base, 5-Housing shell, 6-Gear amplifier base, 7-Gear amplifier upper plate, 8-Large gear, 9-Bearing, 10-Small gear. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of this utility model clearer, the present utility model will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of this utility model are only used to explain this utility model and are not intended to limit this utility model.

[0025] Example 1 This embodiment 1 provides a gear intelligent recognition device for a railcar training system, such as... Figures 1-2 As shown, it includes a mechanical transmission module, a multi-dimensional sensing module, and a signal processing module.

[0026] Among them, such as Figures 1-2As shown, the mechanical transmission module includes a housing 5, a base 4, an offset frame 3, and a gear transmission assembly. The base 4, the offset frame 3, and the gear transmission assembly are all located in the housing 5, while the gear amplifier base 6 and the gear amplifier upper plate 7 form a mounting base for supporting the gear transmission assembly. Specifically, the base 4 is made of high-strength metal in one piece, and its surface has multiple mounting holes. It is fastened to the base of the railcar shift lever by bolts. With its high-strength metal material and stable connection method, the base 4 provides a solid and reliable support foundation for the entire device, effectively avoiding transmission errors or sensor detection deviations caused by base deformation, and ensuring that the device can operate stably under complex working conditions.

[0027] The offset brackets 3 are arranged in pairs, orthogonal on the same horizontal plane. One offset bracket 3 is installed along the X-axis, and the other offset bracket 3 is installed along the Y-axis. One end of each offset bracket 3 is connected to the input end of its corresponding gear transmission component, and the other ends intersect each other, forming a movable groove for matching the shift lever at the intersection. Furthermore, each offset bracket 3 has a rectangular through hole along its length in the middle, allowing the shift lever to move along this hole, ensuring a stable movement trajectory, reducing wobbling and offset, and lowering transmission errors. When the shift lever is operated, the offset bracket 3 moves precisely synchronously with it, providing accurate guidance and limiting for the shift lever's movement. The orthogonal arrangement of the offset brackets ensures that the shift lever's movement in the X and Y directions is synchronously transmitted to the gear transmission component through its corresponding offset bracket 3, guaranteeing that the angular displacement sensor can accurately detect the shift lever's rotation angle in both directions.

[0028] Among them, such as Figure 1 As shown, the multi-dimensional sensing module includes at least two angular displacement sensors 1 and a pull-rope displacement sensor 2. The angular displacement sensors 1 are respectively located below the gear transmission assembly and connected to the output end of the gear transmission assembly. They are used to detect the rotation angle of the shift lever in the X and Y directions. In practical applications, magnetic sensors with anti-electromagnetic interference shielding shells can be selected to adapt to the complex electromagnetic environment of the railcar and ensure the accuracy and stability of angle detection. The pull-rope displacement sensor 2 is mechanically connected to the shift lever and is used to obtain the linear displacement information of the shift lever in each gear position. In practical applications, the pull rope of the pull-rope displacement sensor 2 is made of a special material, such as aramid fiber, with an elongation rate ≤0.1%. The measurement stroke can be determined according to the actual operating range of the railcar shift lever.

[0029] like Figure 2As shown, to improve the sensitivity of the angular displacement sensor to subtle movements, the gear transmission assembly includes a large gear 8 and a small gear 10. The large gear 8 is rotatably connected to the offset frame 3 via a bearing 9. The small gear 10 meshes with the large gear 8, and its output end is connected to the angular displacement sensor 1. The gear ratio between the large gear 8 and the small gear 10 ranges from 1:2 to 1:5. This reasonable gear ratio range amplifies the signal while avoiding detection errors or insufficient sensitivity caused by an unreasonable gear ratio. When the offset frame 3 moves with the shift lever, it drives the large gear 8 to rotate. The large gear 8 transmits the motion to the small gear 10 through meshing with it. During this process, the gear transmission characteristics amplify the minute angular changes of the shift lever, thereby improving the sensitivity of the angular displacement sensor to the subtle movements of the shift lever.

[0030] In this embodiment, the signal processing module includes an industrial-grade microcontroller, which integrates an A / D conversion module. The multi-dimensional sensing module outputs analog signals, and the A / D conversion module can quickly and accurately convert these analog signals into digital signals. The industrial-grade microcontroller has powerful computing capabilities and stability, and can adapt to complex working conditions such as vibration and electromagnetic interference that may exist in the railcar training system. The converted digital signal undergoes a digital filtering algorithm within the microcontroller to remove noise interference. Then, based on a preset mathematical model, combined with the angle signals in the X and Y directions and the linear displacement signal, the position coordinates of the shift lever are obtained. The calculated shift lever position coordinates are then compared with a gear position mapping table pre-stored in the non-volatile memory of the signal processing module to determine the current gear position of the shift lever. Finally, the identified gear information is quickly and stably transmitted to the railcar training system via serial communication to drive the visual linkage and operation evaluation of the training system, realizing intelligent and accurate recognition and feedback of the railcar shifting operation.

[0031] Example 2 This embodiment 2 provides a method for intelligent gear recognition in a railcar training system, based on the intelligent gear recognition device of embodiment 1. Figures 3-6 As shown, it includes the following steps: Step 1: Real-time acquisition of the rotation angle signals of the shift lever in the X and Y directions using an angular displacement sensor, and real-time acquisition of the linear displacement signal of the shift lever using a pull-rope displacement sensor; Specifically, the paired orthogonally arranged offset frames 3 move synchronously with the gear shift lever, driving the large gear 8 and the small gear 10 to mesh and rotate, triggering the multi-dimensional sensing module to work; two angular displacement sensors 1 respectively collect the rotation angle signals of the gear shift lever in the X and Y directions in real time (data amplified by gear transmission); the pull rope displacement sensor 2 synchronously collects the linear displacement signal of the gear shift lever through mechanical connection, covering the linear motion range of each gear. Step 2: The signal processing module performs A / D conversion on the acquired analog signal and removes noise interference through a digital filtering algorithm; Specifically, the industrial-grade microcontroller in the signal processing module processes the acquired analog signals. The built-in A / D conversion module converts the angle and displacement signals from analog to digital quantities to ensure that the signals can be calculated and processed. Digital filtering algorithms (such as moving average filtering) are used to remove high-frequency noise and vibration interference from the signals, thereby improving the signal-to-noise ratio of the original data.

[0032] Step 3: Based on the preset mathematical model, and combining the angle signals in the X and Y directions with the linear displacement signal, obtain the position coordinates of the gear shift lever; Specifically, the signal processing module calls a preset mathematical model (combining gear ratio and sensor installation position parameters) to convert the X / Y angular signals into coordinate components in the horizontal plane, and then integrates the linear displacement data of the pull rope displacement sensor 2 to calculate the three-dimensional spatial position coordinates of the shift lever, thereby achieving cross-validation of multi-dimensional data.

[0033] Step 4: Compare the calculated gear shift lever position coordinates with the gear position mapping table pre-stored in the signal processing module to determine the current gear position of the gear shift lever; Specifically, such as Figure 3 As shown, the signal processing module compares the calculated position coordinates with the pre-stored "gear position mapping table" (generated by multiple measurements and calibrations of the actual gear shifting operation of the railcar) to match the current gear (such as 1st gear, reverse gear, neutral gear, etc.). During the comparison process, error detection will also be performed simultaneously. By comparing the change trajectory of the current gear with that of the previous gear, and combining the preset shifting logic rules (such as "gradual shifting is required" and "neutral shifting requires specific operation"), abnormal situations such as no shifting operation, incomplete shifting, and skipping gears will be identified and corresponding error operation indicators will be generated.

[0034] Step 5: The signal processing module transmits the identified gear information to the railcar training system via serial communication, which is used to drive the visual linkage and operation evaluation of the training system. Specifically, the signal processing module transmits the final identified gear position information and misoperation flags to the railcar training system in real time via serial communication (such as an RS485 interface). Figure 6 As shown, the training system drives visual linkage based on gear information (such as simulating vehicle speed and engine speed changes with gear); it provides real-time warnings for misoperation information (such as audio-visual prompts or interface pop-ups) to assist in operation evaluation and teaching guidance.

[0035] In the above steps, the gear position mapping table is stored in the microcontroller's non-volatile memory, which can be flexibly updated according to the shifting characteristics of different types of railcars, ensuring the universality and adaptability of the method.

[0036] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of this utility model. It should be understood that the above description is only a specific embodiment of this utility model and is not intended to limit the scope of protection of this utility model. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this utility model should be included within the scope of protection of this utility model.

Claims

1. A gear intelligent recognition device for a railcar training system, characterized in that, include: The mechanical transmission module includes a base (4), an offset frame (3) and a gear transmission assembly. The offset frames (3) are arranged in pairs, and one end of the offset frame (3) is connected to the input end of the corresponding gear transmission assembly. The other ends of the offset frames (3) intersect, and a movable groove matching the shift lever is formed at the intersection. The offset frame (3) moves synchronously with the shift lever. The multidimensional sensing module includes at least two angular displacement sensors (1) and a pull rope displacement sensor (2). The angular displacement sensors (1) are respectively disposed below the gear transmission assembly and connected to the output end of the gear transmission assembly, and are used to detect the rotation angle of the shift lever in the X and Y directions. The pull rope displacement sensor (2) is mechanically connected to the shift lever and is used to obtain the linear displacement information of the shift lever in each gear position. The signal processing module is electrically connected to the multidimensional sensing module and is used to receive and process sensing signals to identify the gear position and transmit the identification result to the railcar training system.

2. The gear position intelligent recognition device according to claim 1, characterized in that, The offset frames (3) are set in pairs and orthogonally in the same horizontal plane.

3. The gear position intelligent recognition device according to claim 2, characterized in that, The gear transmission assembly includes a large gear (8) and a small gear (10). The large gear (8) is rotatably connected to the offset frame (3) through a bearing (9). The small gear (10) meshes with the large gear (8). The output end of the small gear (10) is connected to the angular displacement sensor (1).

4. The gear position intelligent recognition device according to claim 3, characterized in that, The gear ratio between the large gear (8) and the small gear (10) ranges from 1:2 to 1:

5.

5. The gear position intelligent recognition device according to claim 3, characterized in that, The offset frame (3) has a rectangular through hole in the middle along the length direction, and the shift lever can move along the rectangular through hole.

6. The gear position intelligent recognition device according to claim 5, characterized in that, The base (4) is made of high-strength metal material in one piece, and its surface is provided with multiple mounting holes, which are fastened to the base of the railcar shift lever by bolts.

7. The gear position intelligent recognition device according to claim 1, characterized in that, The signal processing module includes an industrial-grade microcontroller, which integrates an A / D conversion module to convert the analog signal output by the multi-dimensional sensing module into a digital signal.

8. The gear position intelligent recognition device according to claim 7, characterized in that, The industrial-grade microcontroller is connected to a non-volatile memory unit, which stores a gear position mapping table. The gear position mapping table is generated by multiple measurements and calibrations of the actual gear shifting stroke of the railcar.

9. The gear position intelligent recognition device according to claim 1, characterized in that, The angular displacement sensor (1) is a magnetoelectric angle sensor.

10. The gear position intelligent recognition device according to claim 1, characterized in that, The signal processing module is equipped with a serial communication interface, which is an RS485 interface.

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