Train weight monitoring method, device and system and vehicle

Abstract

The invention discloses a train weight monitoring method, device and system and a vehicle, is applied to the technical field of rail trains, and aims at solving the problem that the train weight monitoring error is large in the related technology. The method comprises the steps that for each air spring of each train set in a train, an air spring real-time pressure value corresponding to the air spring is obtained; acquiring an air spring reference pressure value corresponding to the air spring and a vehicle group reference weight of the vehicle group; and based on the air spring real-time pressure value corresponding to each air spring, the air spring reference pressure value and the train set reference weight of the train set, the current real-time weight of the train set is obtained. When the current real-time weight of the train set is determined, the air spring real-time pressure value of each air spring and the train set reference weight of the train set are considered, so that the more accurate current real-time weight of the train set can be obtained, the vehicle weight detection accuracy is improved, the detection error is reduced, and the detection efficiency is improved. And the occurrence of the phenomenon that the train-mounted system reports the overload early warning is reduced.

Description

Technical Field

[0001] This application relates to the field of rail vehicle technology, and in particular to a method, device, system and vehicle for monitoring train weight. Background Technology

[0002] In the rail transit sector, the operational safety and efficiency of the Fuxing bullet train platform are paramount. Real-time train weight, as a key parameter, directly impacts traction and braking matching, wheel-rail coordination, and passenger capacity management. Therefore, accurate train weight monitoring is essential for ensuring smooth operation. Currently, this type of bullet train generally calculates train weight using spring pressure, and weight monitoring is achieved based on real-time spring pressure and bogie weight.

[0003] However, existing algorithms have significant accuracy defects: as a rubber composite product, the air spring has performance dispersion due to factors such as materials and processes during production, and elasticity decay due to rubber aging and fatigue deformation during operation, resulting in a large error in the final train weight. This can easily lead to false alarms of overload warnings or failure to report overload risks that threaten safety, and cannot meet actual needs. Therefore, how to reduce errors and improve the accuracy of train weight monitoring has become a problem that needs to be solved by those skilled in the art. Summary of the Invention

[0004] The purpose of this application is to provide a train weight monitoring method, device, system, and vehicle, which improves the accuracy of vehicle weight detection, reduces detection errors, and decreases the occurrence of overload warnings issued by the train's onboard system during use.

[0005] To address the aforementioned technical problems, the embodiments of this application provide the following technical solutions:

[0006] This application provides a method for monitoring train weight, including:

[0007] For each air spring in each car group of the train, obtain the real-time pressure value of the corresponding air spring.

[0008] Obtain the reference pressure value of the air spring corresponding to the air spring and the reference weight of the vehicle group;

[0009] The current real-time weight of the vehicle group is obtained based on the real-time pressure value of each air spring, the reference pressure value of the air spring, and the reference weight of the vehicle group.

[0010] In one embodiment, obtaining the current real-time weight of the vehicle group based on the real-time pressure value of each air spring, the reference pressure value of the air spring, and the reference weight of the vehicle group includes:

[0011] For each air spring, the change in air spring pressure value is determined based on the real-time pressure value of the air spring and the reference pressure value of the air spring.

[0012] Based on the change in air spring pressure, determine the change in vehicle weight corresponding to the air spring;

[0013] The current real-time weight of the trainset is obtained based on the trainset's baseline weight and the weight change of the trainset corresponding to each air spring.

[0014] In one embodiment, determining the change in vehicle weight corresponding to the air spring based on the change in air spring pressure includes:

[0015] Based on the change in air spring pressure value and a preset error value, the change in vehicle weight corresponding to the air spring is determined.

[0016] In one embodiment, determining the change in vehicle weight corresponding to the air spring based on the change in air spring pressure value combined with a preset error value includes:

[0017] Based on the change in air spring pressure, a preset error value, and a first relational formula, the change in vehicle weight corresponding to the air spring is determined; the first relational formula is:

[0018] △M*(1±a%)=k*△P, where △M is the change in the weight of the train set, △P is the change in the air spring pressure, a is the preset error value, and k is the air spring coefficient.

[0019] In one embodiment, the reference pressure value of the air spring is the empty air spring pressure value when the train is manufactured or repaired; the reference weight of the train set is the empty weight of the train set including the weight of the bogies when the train is manufactured or repaired.

[0020] In one implementation, it further includes:

[0021] The reference pressure values ​​of each air spring in the vehicle group are obtained in advance;

[0022] The reference pressure value of each air spring and the corresponding spring identification information are stored accordingly.

[0023] The vehicle group's baseline weight is obtained in advance, and the vehicle group identification information and the vehicle group's baseline weight are stored accordingly.

[0024] In one embodiment, obtaining the reference pressure value of the air spring corresponding to the air spring and the reference weight of the vehicle group includes:

[0025] Obtain the vehicle group identification information and the spring identification information corresponding to each control spring of the vehicle group;

[0026] Based on the train set identification information, the corresponding train set reference weight is determined from the pre-stored correspondence between train set reference weight and train set reference weight.

[0027] Based on the spring identification information of each air spring, the air spring reference pressure value corresponding to the air spring is determined from the pre-established correspondence between the air spring reference pressure value and the spring identification information.

[0028] Another embodiment of this application provides a train weight monitoring device, including:

[0029] The first acquisition module is used to acquire the real-time pressure value of the air spring corresponding to each air spring in each train set in the train.

[0030] The second acquisition module is used to acquire the reference pressure value of the air spring corresponding to the air spring and the reference weight of the vehicle group;

[0031] The determination module is used to obtain the current real-time weight of the vehicle group based on the real-time pressure value of the air spring corresponding to each air spring, the reference pressure value of the air spring, and the reference weight of the vehicle group.

[0032] Another embodiment of this application provides a train weight monitoring system, including:

[0033] Memory, used to store computer programs;

[0034] A processor is used to execute the computer program to implement the steps of the train weight monitoring method as described above.

[0035] Another embodiment of this application provides a vehicle, including various train sets, air springs disposed in the train sets, and train weight monitoring equipment as described above.

[0036] As can be seen from the above technical solutions, the embodiments of this application have the following advantages:

[0037] This application provides a train weight monitoring method, including: acquiring the real-time pressure value of each air spring corresponding to each air spring in each train set; acquiring the reference pressure value of the air spring corresponding to each air spring and the reference weight of the train set; and obtaining the current real-time weight of the train set based on the real-time pressure value of each air spring, the reference pressure value of the air spring, and the reference weight of the train set. Therefore, by acquiring the real-time pressure value of each air spring in the train set, combining it with the reference pressure value of each air spring, and combining it with the reference weight of the train set, the current real-time weight of the train set can be obtained. Because this application considers the real-time pressure value of each air spring and the reference weight of the train set when determining the current real-time weight of the train set, a more accurate current real-time weight of the train set can be obtained, improving the accuracy of vehicle weight detection, reducing detection errors, and reducing the occurrence of overload warnings issued by the train's onboard system.

[0038] Furthermore, this application also provides corresponding implementation devices, systems, and vehicles for the train weight monitoring method, further enhancing the practicality of the method. The devices, systems, and vehicles have corresponding advantages. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the prior art and embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 A flowchart illustrating a train weight monitoring method provided in an embodiment of this application;

[0041] Figure 2 This is a schematic diagram of the structure of a vehicle assembly and an unloaded spring provided in an embodiment of this application;

[0042] Figure 3 This is a schematic diagram of a train weight monitoring method provided in an embodiment of this application. Detailed Implementation

[0043] This application provides a train weight monitoring method, device, system, and vehicle, which improves the accuracy of vehicle weight detection, reduces detection errors, and decreases the occurrence of overload warnings issued by the train's onboard system during use.

[0044] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0045] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating a train weight monitoring method provided in an embodiment of this application. The method includes:

[0046] S110: For each air spring in each car group of the train, obtain the real-time pressure value of the corresponding air spring.

[0047] It should be noted that each corner of each car in the train is equipped with an air spring. Therefore, during the monitoring of the train's weight, the real-time air spring pressure value of each air spring in the car can be obtained. Figure 2 The diagram shows the structure of the train set and the air springs. The diagram shows two air springs. In practical applications, the real-time pressure value P of each air spring is obtained, where M represents the real-time weight of the train set.

[0048] S120: Obtain the reference pressure value of the air spring corresponding to the air spring and the reference weight of the train set;

[0049] It is understood that in the embodiments of this application, the reference weight of the train set and the reference pressure value of each air spring in the train set can be preset.

[0050] In the case of obtaining the real-time pressure value of a certain air spring in S110 above, the reference pressure value of the air spring corresponding to that air spring can be obtained, thereby obtaining the reference pressure value of the air spring corresponding to each air spring respectively.

[0051] S130: Based on the real-time pressure value of each air spring, the reference pressure value of the air spring, and the reference weight of the train set, the current real-time weight of the train set is obtained.

[0052] In other words, in order to improve monitoring accuracy and reduce errors, the current real-time weight of the train set is calculated by combining the real-time pressure value of each air spring, the reference pressure value of the air spring, and the train set's reference weight. Since this application considers both the train set's reference weight and the reference pressure value of each air spring, monitoring errors can be reduced and the accuracy of train weight monitoring can be improved.

[0053] In one embodiment, the process of obtaining the current real-time weight of the vehicle group in S130 based on the real-time pressure value of each air spring, the reference pressure value of the air spring, and the reference weight of the vehicle group may include:

[0054] For each air spring, the change in air spring pressure value is determined based on the real-time pressure value and the reference pressure value of the air spring.

[0055] Based on the change in air spring pressure, determine the change in train weight corresponding to the air spring.

[0056] The current real-time weight of the trainset is obtained based on the trainset's baseline weight and the weight change of the trainset corresponding to each air spring.

[0057] It is understood that, in the embodiments of this application, for each air spring in the vehicle group, the change in air spring pressure value corresponding to that air spring can be obtained based on the real-time air spring pressure value and its corresponding reference air spring pressure value. For example, if the reference air spring pressure value is P0 and the real-time air spring pressure value is P, then the change in air spring pressure value ΔP = P - P0.

[0058] Specifically, the change in vehicle weight for that air spring can be obtained from the change in air spring pressure value ΔP. Then, the changes in vehicle weight for each air spring are summed, and then summed with the vehicle base change to obtain the current real-time weight of the vehicle.

[0059] It should be noted that, given that related technologies directly calculate the bogie weight M based on the real-time pressure value and spring constant of the air spring, 转向架 The real-time weight M of the vehicle group is obtained. However, due to the performance variability of air springs and rubber aging, there is a certain error in converting vehicle weight using air spring pressure. That is, related technologies approximate a linear relationship between air spring pressure and vehicle weight, but due to the variability of air spring products, there is an error of about 5%, i.e.: M(1±a%)=k*P+b+M 转向架 , where k is the spring constant of the air spring and b is a constant.

[0060] In this embodiment of the application, to reduce the impact of errors on the monitoring results, a preset error value, as well as a preset reference weight M0 for the vehicle group and a preset reference pressure value P0 for the air spring, can be determined in advance. Since M0 and P0 have already eliminated errors, the error only affects the real-time monitored air spring pressure value and the increment of vehicle weight (i.e., the change in vehicle group weight). Further, the process of determining the change in vehicle group weight corresponding to the air spring based on the change in air spring pressure value can include:

[0061] Based on the change in air spring pressure value and a preset error value, the change in train weight corresponding to the air spring is determined.

[0062] In other words, in order to further improve the accuracy of monitoring and reduce monitoring errors in practical applications, a preset error value can be determined in advance, and the change in vehicle weight corresponding to the air spring can be determined based on the change in air spring pressure and the preset error value.

[0063] Specifically, the process of determining the change in vehicle weight corresponding to the air spring based on the change in air spring pressure value combined with a preset error value may include:

[0064] Based on the change in air spring pressure, a preset error value, and a first relational formula, the change in vehicle weight corresponding to the air spring is determined; the first relational formula is:

[0065] △M*(1±a%)=k*△P, where △M is the change in the weight of the train set, △P is the change in the air spring pressure, a is the preset error value, and k is the air spring coefficient.

[0066] It should be noted that in this embodiment, the change in air spring pressure value ΔP = P - P0; then, ΔM*(1±a%) = k*ΔP, M = M0 + ΔM*(1±a%). Here, a can be 5. Since ΔM is much smaller than M0, the error in vehicle weight is significantly reduced, thus improving the accuracy of vehicle weight monitoring.

[0067] Based on this, the current real-time weight of the vehicle group in this embodiment is M = M0 + k*△P. Since k is known, △P can be calculated, thus reducing the absolute value of the error and obtaining a more accurate current real-time weight M, thereby improving the accuracy of vehicle weight monitoring.

[0068] It should be noted that, in the embodiments of this application, the reference pressure value of the air spring is the empty air spring pressure value when the train is manufactured or repaired; the reference weight of the train set is the empty weight of the train set including the weight of the bogie when the train is manufactured or repaired, wherein the empty weight of the train set includes the weight of the bogie.

[0069] In one embodiment, the method may further include:

[0070] Pre-acquire the reference pressure values ​​of each air spring in the train set;

[0071] The reference pressure value of each air spring and its corresponding spring identification information are stored accordingly.

[0072] The train set's baseline weight is obtained in advance, and the train set's identification information and baseline weight are stored accordingly.

[0073] It is understood that, in this embodiment of the application, before the train leaves the factory or after maintenance, the reference pressure value of each air spring and the reference weight of the train set can be measured. The reference pressure value of each air spring and its corresponding spring identification information can be stored accordingly. This spring identification information may include spring installation location information or a unique spring number, etc. The train set identification information and the reference weight are then obtained and stored accordingly. This allows for quick and accurate acquisition of the air spring reference pressure value and the reference weight of the train set during subsequent real-time weight monitoring.

[0074] Furthermore, in the process of obtaining the air spring reference pressure value and the vehicle group reference weight corresponding to the air spring, the vehicle group identification information and the spring identification information corresponding to each control spring of the vehicle group can be obtained first. Then, based on the vehicle group identification information, the corresponding vehicle group reference weight can be determined from the pre-stored correspondence between vehicle group reference weight and vehicle group reference weight. Similarly, based on the spring identification information of each air spring, the air spring reference pressure value corresponding to the air spring can be determined from the pre-established correspondence between air spring reference pressure value and spring identification information. This allows for the rapid and accurate acquisition of the reference pressure values ​​of each air spring and the vehicle group reference weight, and further rapid and accurate determination of the current real-time weight of the vehicle group.

[0075] Therefore, it can be seen that by obtaining the real-time pressure value of each air spring of the train set and combining it with the reference pressure value of each air spring and the reference weight of the train set, the current real-time weight of the train set can be obtained. Since the current real-time weight of the train set is determined by considering the real-time pressure value of each air spring and the reference weight of the train set, a more accurate current real-time weight of the train set can be obtained, thereby improving the accuracy of vehicle weight detection, reducing detection errors, and reducing the occurrence of overload warnings issued by the train's onboard system.

[0076] This application also provides a corresponding device for the train weight monitoring method, further enhancing the practicality of the method. The device can be described from both a functional module perspective and a hardware perspective. The train weight monitoring device provided in this application is described below. This device is used to implement the train weight monitoring method provided in this application. In this embodiment, the train weight monitoring device may include or be divided into one or more program modules. These one or more program modules are stored in a storage medium and executed by one or more processors to complete the train weight monitoring method disclosed in the above embodiments. The program module referred to in this application is a series of computer program instruction segments capable of performing specific functions, which is more suitable than the program itself for describing the execution process of the train weight monitoring device in the storage medium. The following description will specifically introduce the functions of each program module in this embodiment. The train weight monitoring device described below can be referred to in correspondence with the train weight monitoring method described above.

[0077] From the perspective of functional modules, see Figure 3 , Figure 3 The present application provides a structural diagram of a train weight monitoring device, which may include:

[0078] The first acquisition module 11 is used to acquire the real-time pressure value of the air spring corresponding to each air spring in each car group of the train.

[0079] The second acquisition module 12 is used to acquire the air spring reference pressure value and the vehicle group reference weight corresponding to the air spring.

[0080] The determination module 13 is used to obtain the current real-time weight of the train set based on the real-time pressure value of each air spring, the reference pressure value of the air spring, and the reference weight of the train set.

[0081] In one implementation, the determining module 13 includes:

[0082] The first determining unit is used to determine the change in air spring pressure value for each air spring based on the real-time pressure value of the corresponding air spring and the reference pressure value of the air spring.

[0083] The second determining unit is used to determine the change in train weight corresponding to the air spring based on the change in air spring pressure value.

[0084] The third determining unit is used to obtain the current real-time weight of the train set based on the train set's baseline weight and the weight change of the train set corresponding to each air spring.

[0085] In one embodiment, the second determining unit is configured to:

[0086] Based on the change in air spring pressure value and a preset error value, the change in train weight corresponding to the air spring is determined.

[0087] In one embodiment, the second determining unit is configured to:

[0088] Based on the change in air spring pressure, a preset error value, and a first relational formula, the change in vehicle weight corresponding to the air spring is determined; the first relational formula is:

[0089] △M*(1±a%)=k*△P, where △M is the change in the weight of the train set and the change in the air spring pressure value, a is the preset error value, and k is the air spring coefficient.

[0090] In one embodiment, the reference pressure value of the air spring is the empty air spring pressure value of the train at the time of manufacture or repair; the reference weight of the train set is the empty weight of the train set including the weight of the bogies at the time of manufacture or repair.

[0091] In one embodiment, the device further includes:

[0092] The third acquisition module is used to pre-acquire the reference pressure values ​​of each air spring in the train set;

[0093] The first storage module is used to store the reference pressure value of each air spring and the corresponding spring identification information.

[0094] The second storage module is used to pre-obtain the train set's baseline weight and store the train set's identification information and baseline weight accordingly.

[0095] In one embodiment, the second acquisition module 12 includes:

[0096] The first acquisition unit is used to acquire the train set identification information and the spring identification information corresponding to each control spring of the train set.

[0097] The fourth determining unit is used to determine the corresponding train set reference weight from the pre-stored correspondence between train set reference weight and train set reference weight based on the train set identification information.

[0098] The fifth determining unit is used to determine the air spring reference pressure value corresponding to each air spring from the pre-established correspondence between the air spring reference pressure value and the spring reference information, based on the spring identification information of each air spring.

[0099] It should be noted that the train weight monitoring device provided in this application embodiment has the same beneficial effects as the train weight monitoring method in the above embodiments, and for a detailed description of the train weight monitoring method involved in this application embodiment, please refer to the above embodiments, which will not be repeated here.

[0100] Based on the above embodiments, another aspect of this application provides a train weight monitoring system, including:

[0101] Memory, used to store computer programs;

[0102] A processor is used to execute the computer program to implement the steps of the train weight monitoring method as described above.

[0103] The processor may include one or more processing cores, such as a quad-core processor or an octa-core processor. The processor 21 may be implemented using at least one hardware form selected from DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor may also include a main processor and a coprocessor. The main processor, also known as a CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, the processor may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, the processor may also include an AI (Artificial Intelligence) processor, which handles computational operations related to machine learning.

[0104] The memory may include one or more computer-readable storage media, which may be non-transitory. The memory may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, the memory may be an internal storage unit of the system, such as a server's hard drive. In other embodiments, the memory may be an external storage device of the system, such as a plug-in hard drive on a server, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Furthermore, the memory may include both internal and external storage units. The memory can be used not only to store application software and various types of data installed on the system, such as code for programs executing the train weight monitoring method, but also to temporarily store data that has been output or will be output. In this embodiment, the memory is used to store at least the following computer program, which, after being loaded and executed by the processor, can implement the relevant steps of the train weight monitoring method disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory may also include an operating system and data, and the storage method may be temporary or permanent storage. The operating system may include Windows, Unix, Linux, etc. The data may include, but is not limited to, data corresponding to train weight monitoring results.

[0105] It is understood that if the train weight monitoring method in the above embodiments is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and executes all or part of the steps of the methods in the various embodiments of this application. The aforementioned storage medium includes: USB flash drive, mobile hard disk, read-only memory (ROM), random access memory (RAM), electrically erasable programmable ROM, register, hard disk, removable disk, CD-ROM, magnetic disk, or optical disk, and other media capable of storing program code.

[0106] Based on the above embodiments, another aspect of this application provides a vehicle, including various train sets, air springs disposed in the train sets, and train weight monitoring equipment as described above.

[0107] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0108] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0109] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for monitoring train weight, characterized in that, include: For each air spring in each car group of the train, obtain the real-time pressure value of the corresponding air spring. Obtain the reference pressure value of the air spring corresponding to the air spring and the reference weight of the vehicle group; The current real-time weight of the vehicle group is obtained based on the real-time pressure value of each air spring, the reference pressure value of the air spring, and the reference weight of the vehicle group.

2. The train weight monitoring method according to claim 1, characterized in that, The process of obtaining the current real-time weight of the vehicle group based on the real-time pressure value of each air spring, the reference pressure value of the air spring, and the reference weight of the vehicle group includes: For each air spring, the change in air spring pressure value is determined based on the real-time pressure value and the reference pressure value of the corresponding air spring. Based on the change in air spring pressure, determine the change in vehicle weight corresponding to the air spring; The current real-time weight of the trainset is obtained based on the trainset's baseline weight and the weight change of the trainset corresponding to each air spring.

3. The train weight monitoring method according to claim 2, characterized in that, The step of determining the change in vehicle weight corresponding to the air spring based on the change in air spring pressure includes: Based on the change in air spring pressure value and a preset error value, the change in vehicle weight corresponding to the air spring is determined.

4. The train weight monitoring method according to claim 1, characterized in that, The step of determining the change in vehicle weight corresponding to the air spring based on the change in air spring pressure value combined with a preset error value includes: Based on the change in air spring pressure, a preset error value, and a first relational formula, the change in vehicle weight corresponding to the air spring is determined; the first relational formula is: △M*(1±a%)=k*△P, where △M is the change in the weight of the train set, △P is the change in the air spring pressure, a is the preset error value, and k is the air spring coefficient.

5. The train weight monitoring method according to claim 1, characterized in that, The reference pressure value of the air spring is the empty air spring pressure value when the train leaves the factory or after maintenance; the reference weight of the train set is the empty weight of the train set including the bogie when the train leaves the factory or after maintenance.

6. The train weight monitoring method according to claim 5, characterized in that, Also includes: The reference pressure values ​​of each air spring in the vehicle group are obtained in advance; The reference pressure value of each air spring and the corresponding spring identification information are stored accordingly. The vehicle group's baseline weight is obtained in advance, and the vehicle group identification information and the vehicle group's baseline weight are stored accordingly.

7. The train weight monitoring method according to claim 6, characterized in that, The process of obtaining the reference pressure value of the air spring corresponding to the air spring and the reference weight of the vehicle group includes: Obtain the vehicle group identification information and the spring identification information corresponding to each control spring of the vehicle group; Based on the train set identification information, the corresponding train set reference weight is determined from the pre-stored correspondence between train set reference weight and train set reference weight. Based on the spring identification information of each air spring, the air spring reference pressure value corresponding to the air spring is determined from the pre-established correspondence between the air spring reference pressure value and the spring identification information.

8. A train weight monitoring device, characterized in that, include: The first acquisition module is used to acquire the real-time pressure value of the air spring corresponding to each air spring in each train set in the train. The second acquisition module is used to acquire the reference pressure value of the air spring corresponding to the air spring and the reference weight of the vehicle group; The determination module is used to obtain the current real-time weight of the vehicle group based on the real-time pressure value of the air spring corresponding to each air spring, the reference pressure value of the air spring, and the reference weight of the vehicle group.

9. A train weight monitoring system, characterized in that, include: Memory, used to store computer programs; A processor for executing the computer program to implement the steps of the train weight monitoring method as described in any one of claims 1 to 7.

10. A vehicle, characterized in that, It includes each train set, air springs installed in the train set, and the train weight monitoring equipment as described in claim 9.

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