A method, device, electronic device and storage medium for detecting vehicle brake shoes

Abstract

The present application discloses a vehicle brake shoe detection method, device and storage medium. Among them, the method includes: obtaining axle data of a target vehicle, where the axle data includes a first mapping relationship between a vehicle serial number, an axle serial number, an axle acquisition time, and an axle instantaneous speed; calculating a vehicle entry time and a vehicle departure time corresponding to each vehicle serial number according to the first mapping relationship; obtaining first tag data, including a brake shoe tag code and its corresponding tag acquisition time; establishing a second mapping relationship according to the first mapping relationship and the first tag data; calculating a brake shoe tag code corresponding to each axle serial number under each vehicle number according to the second mapping relationship. It solves the problem of misalignment between train tags and train numbers in the prior art and realizes the accurate positioning of train tags.

Description

Technical Field

[0001] The present invention relates to the field of detection technologies, and in particular, to a method, device, electronic device, and storage medium for detecting vehicle brake shoes. Background Art

[0002] The train electronic tag data collected by the railway automatic identification system and the vehicle data and axle data collected by the car number equipment are data collected by two different systems. Existing methods are difficult to accurately match the data of the two systems together, and are inefficient and unstable.

[0003] Therefore, it is necessary to provide a method for detecting vehicle brake shoes to solve the problem of misalignment between train tags and train car numbers in the prior art and achieve accurate positioning of train tags. Summary of the Invention

[0004] The main purpose of the present invention is to provide a method, device, electronic device, and storage medium for detecting vehicle brake shoes to solve the problem of misalignment between train tags and train car numbers in the prior art and achieve accurate positioning of train tags.

[0005] In a first aspect, the present invention provides a method for detecting vehicle brake shoes, including:

[0006] Obtain axle data of a target vehicle, where the axle data includes a first mapping relationship between a vehicle serial number, an axle serial number, an axle acquisition time, and an axle instantaneous speed;

[0007] Calculate the vehicle entry time and vehicle departure time corresponding to each vehicle serial number according to the first mapping relationship, where the vehicle entry time is the time when the vehicle passes through the axle acquisition device, and the vehicle departure time is the time when the vehicle leaves the tag acquisition device;

[0008] Obtain first tag data, including a brake shoe tag code and its corresponding tag acquisition time;

[0009] Establish a second mapping relationship according to the first mapping relationship and the first tag data, where the second mapping relationship includes: a vehicle serial number and its corresponding vehicle car number, each axle serial number under each vehicle serial number, and the axle acquisition time and second tag data corresponding to each axle serial number, and the second tag data includes first tag data whose tag acquisition time is between the vehicle entry time and the vehicle departure time corresponding to each vehicle serial number;

[0010] Calculate the brake shoe tag code corresponding to each axle serial number under each vehicle car number according to the second mapping relationship.

[0011] Optionally, the vehicle entry time corresponding to each vehicle serial number is the axle acquisition time corresponding to the smallest axle serial number under each vehicle serial number obtained according to the first mapping relationship.

[0012] Optionally, calculating the vehicle departure time corresponding to each vehicle serial number according to the first mapping relationship includes:

[0013] Obtaining the axle acquisition time and axle instantaneous speed corresponding to the maximum axle serial number under each vehicle serial number according to the first mapping relationship;

[0014] Calculating the axle travel time corresponding to the maximum axle serial number under each vehicle serial number according to the axle instantaneous speed and the distance between the tag acquisition device and the axle acquisition device;

[0015] Calculating the vehicle departure time corresponding to each vehicle serial number according to the axle travel time and the axle acquisition time.

[0016] Optionally, the step of obtaining the axle acquisition time and axle instantaneous speed corresponding to the maximum axle serial number under each vehicle serial number according to the first mapping relationship includes:

[0017] If the axle instantaneous speed corresponding to the maximum axle serial number under any vehicle serial number is 0, then the axle acquisition time and axle instantaneous speed corresponding to the maximum axle serial number under the any vehicle serial number are the axle acquisition time and axle instantaneous speed corresponding to the minimum axle serial number under the adjacent subsequent vehicle serial number.

[0018] Optionally, the step of calculating the brake shoe tag code corresponding to each axle serial number under each vehicle number according to the second mapping relationship includes:

[0019] If the number of brake shoe tag codes in the second tag data is the same as the number of axle serial numbers under the corresponding vehicle serial number, then match the time sequence of the tag acquisition times corresponding to the brake shoe tag codes in the second tag data with the sequence of the axle serial numbers under the corresponding vehicle serial number, and calculate the brake shoe tag code corresponding to each axle serial number under each vehicle number.

[0020] Optionally, the step of calculating the brake shoe tag code corresponding to each axle serial number under each vehicle number according to the second mapping relationship further includes:

[0021] If the number of brake shoe tag codes in the second tag data is different from the number of axle serial numbers under the corresponding vehicle serial number, then calculate the time difference between the tag acquisition time of each brake shoe tag code in the second tag data and the axle acquisition time corresponding to each axle serial number under the corresponding vehicle serial number;

[0022] Determine the brake shoe tag code with the minimum time difference corresponding to each axle serial number as the brake shoe tag code corresponding to the axle serial number.

[0023] Optionally, the brake shoe tag code is an RFID brake shoe tag code.

[0024] According to the second aspect of the embodiments of the present invention, the present invention provides a vehicle brake shoe detection device, including:

[0025] A first acquisition module: configured to acquire axle data of a target vehicle, where the axle data includes a first mapping relationship among a vehicle serial number, an axle serial number, an axle acquisition time, and an axle instantaneous speed;

[0026] A first calculation module: configured to calculate a vehicle entry time and a vehicle departure time corresponding to each vehicle serial number according to the first mapping relationship, where the vehicle entry time is the time when the vehicle passes through the axle acquisition device, and the vehicle departure time is the time when the vehicle leaves the tag acquisition device;

[0027] A second acquisition module: configured to acquire first tag data, including a brake shoe tag code and its corresponding tag acquisition time;

[0028] A first matching module: configured to establish a second mapping relationship according to the first mapping relationship and the first tag data, where the second mapping relationship includes: a vehicle serial number and its corresponding vehicle number, each axle serial number under each vehicle serial number, and the axle acquisition time and second tag data corresponding to each axle serial number, and the second tag data includes the first tag data whose tag acquisition time is between the vehicle entry time and the vehicle departure time corresponding to each vehicle serial number;

[0029] A second calculation module: configured to calculate a brake shoe tag code corresponding to each axle serial number under each vehicle number according to the second mapping relationship.

[0030] According to the third aspect of the embodiments of the present invention, the present invention provides an electronic device, including a memory and a processor, where the memory is used to store one or more computer instructions, and when the one or more computer instructions are executed by the processor, the vehicle brake shoe detection method according to any one of the above first aspects is implemented.

[0031] According to the fourth aspect of the embodiments of the present invention, the present invention provides a storage medium, in which a program is stored, and when the program is executed by a computer, the vehicle brake shoe detection method according to any one of the above first aspects is implemented.

[0032] Compared with the prior art, one or more of the above embodiments may have the following advantages or beneficial effects:

[0033] The present invention calculates the entry time and departure time of each vehicle corresponding to each vehicle serial number according to the axle data of the target vehicle by obtaining the axle data of the target vehicle, obtains the brake shoe tag code and its corresponding tag acquisition time, and then obtains the brake shoe tag code corresponding to each axle serial number under each vehicle number by calculating its relationship with the entry time and departure time of each vehicle corresponding to each vehicle serial number, solves the problem of misalignment between the train tag and the train number in the prior art, and realizes the accurate positioning of the train tag. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0035] Figure 1 It is a schematic flow chart of a vehicle brake shoe detection method provided by an embodiment of the present invention;

[0036] Figure 2 It is a schematic flow chart of another vehicle brake shoe detection method provided by an embodiment of the present invention;

[0037] Figure 3 It is a schematic diagram of a vehicle brake shoe detection device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] The following will detail the embodiments of the present invention in conjunction with the drawings and embodiments, so as to fully understand how the present invention uses technical means to solve technical problems and achieve the corresponding technical effects and implement them accordingly. The embodiments of the present invention and each feature in the embodiments can be combined with each other without conflict, and the formed technical solutions are all within the protection scope of the present invention.

[0039] Embodiment 1

[0040] As Figure 1 shown, an embodiment of the present invention provides a vehicle brake shoe detection method, including the following steps S101 to S105:

[0041] Step S101: Obtain the axle data of the target vehicle, where the axle data includes the first mapping relationship between the vehicle serial number, the axle serial number, the axle acquisition time, and the axle instantaneous speed.

[0042] For example, obtain the axle data of the target vehicle through a vehicle number acquisition device, and the first mapping relationship is, for example:

[0043] 1_0010367_1_2022 / 09 / 14 18:36:43.618_60;

[0044] 1_0010367_2_2022 / 09 / 14 18:36:43.721_61;

[0045] 1_0010367_3_2022 / 09 / 14 18:36:44.136_61;

[0046] 1_0010367_4_2022 / 09 / 14 18:36:44.241_60;

[0047] Among them, the first field 1 represents the vehicle serial number, which is the vehicle ordinal number calculated starting from the head of the train. For example, the vehicle serial number of the first vehicle after the head of the train is 1, and the vehicle serial number of the second vehicle is 2. The second field is the vehicle number, which represents the number of the vehicle in all train systems. For example, 0010367. The third field is the axle serial number, which represents the ordinal number of the axles arranged in sequence in the vehicle. For example, if a vehicle includes 4 axles, the axle serial numbers from front to back are 1, 2, 3, 4 in sequence. The fourth field is the axle acquisition time, which represents the time when the axle is acquired with data when passing through the axle acquisition device, obtained by reading the time of the axle magnet. For example, 2022 / 09 / 14 18:36:43.618. The fifth field is the instantaneous speed of the axle, which represents the speed per hour when the axle passes through the axle acquisition device. For example, 60 km / h.

[0048] Step S102: Calculate the vehicle entry time and vehicle departure time corresponding to each vehicle serial number according to the first mapping relationship, where the vehicle entry time is the time when the vehicle passes through the axle acquisition device, and the vehicle departure time is the time when the vehicle leaves the label acquisition device.

[0049] For example, the vehicle entry time corresponding to each vehicle serial number is the axle acquisition time corresponding to the smallest axle serial number under each vehicle serial number according to the first mapping relationship. If the vehicle has 4 axles, its axle serial numbers and corresponding axle acquisition times are respectively

[0050] Axle No. 1: 2022 / 09 / 14 18:36:43.618;

[0051] Axle No. 2: 2022 / 09 / 14 18:36:43.721;

[0052] Axle No. 3: 2022 / 09 / 14 18:36:44.136;

[0053] Axle No. 4: 2022 / 09 / 14 18:36:44.241;

[0054] It is considered that the acquisition time of the axle with axle number 1 is the vehicle entry time, because the axle with number 1 is at the very front of the vehicle. When it passes through the axle acquisition device, it represents that the vehicle has entered the axle acquisition stage.

[0055] The method for calculating the departure time of each vehicle number is as follows: Obtain the axle acquisition time and axle instantaneous speed corresponding to the largest axle number under each vehicle number according to the first mapping relationship; Calculate the axle travel time corresponding to the largest axle number under each vehicle number based on the axle instantaneous speed and the distance between the tag acquisition device and the axle acquisition device; Calculate the departure time of each vehicle number based on the axle travel time and the axle acquisition time.

[0056] For example, according to the first mapping relationship, the axle acquisition time and axle instantaneous speed corresponding to the largest axle number under each vehicle number are 18:36:44.241 and 60 km / h respectively. The axle with the largest axle number is at the rear of the vehicle. The distance between the tag acquisition device and the axle acquisition device is 10 meters. Then the time required for this axle to pass through this 10-meter distance at a speed of 60 km / h is 0.6 seconds, that is, the axle travel time corresponding to the largest axle number under this vehicle number is 0.6 seconds. Then the departure time of this vehicle number is the axle acquisition time plus the axle travel time, which is 18:36:44.841. Because the car number acquisition device is before the tag acquisition device, when the train passes through the car number acquisition device, it has not passed through the tag acquisition device. Therefore, it is necessary to calculate the axle travel time corresponding to the largest axle number under each vehicle number based on the axle instantaneous speed and the distance between the tag acquisition device and the axle acquisition device, and add this axle travel time to the axle acquisition time corresponding to the largest axle number under each vehicle number to obtain the time when the train passes through the tag acquisition device. In special cases, if the acquisition of the axle instantaneous speed corresponding to the largest axle number under the vehicle number fails, the axle acquisition time and axle instantaneous speed corresponding to the largest axle number under the vehicle number are the axle acquisition time and axle instantaneous speed corresponding to the smallest axle number under the adjacent subsequent vehicle number. The axle corresponding to the smallest axle number under the adjacent subsequent vehicle number is the most forward axle of the adjacent subsequent vehicle. This axle is close to the axle with the largest number of the current vehicle, that is, the most rear axle of the current vehicle. Therefore, when the acquisition of the axle instantaneous speed corresponding to the largest axle number under the vehicle number fails, it is appropriate to use the axle acquisition time and axle instantaneous speed corresponding to the smallest axle number under the adjacent subsequent vehicle number as the axle acquisition time and axle instantaneous speed corresponding to the largest axle number under the current vehicle number.

[0057] Step S103: Obtain the first tag data, including the brake shoe tag code and its corresponding tag acquisition time.

[0058] The first tag data is collected by a railway electronic tag collection device. The brake shoe tag code can be an RFID brake shoe tag code. The tag collection time corresponding to the brake shoe tag code is the time when the brake shoe tag code passes through the railway electronic tag collection device. For example, the brake shoe tag code is E202021050290, and the tag collection time corresponding to the brake shoe tag code is 2022 / 09 / 14 18:36:55.410.

[0059] Step S104: Establish a second mapping relationship according to the first mapping relationship and the first tag data. The second mapping relationship includes: the vehicle serial number and its corresponding vehicle number, each axle serial number under each vehicle serial number, and the axle collection time and the second tag data corresponding to each axle serial number. The second tag data includes the first tag data whose tag collection time is between the entry time and the departure time of the vehicle corresponding to each vehicle serial number.

[0060] For example, the vehicle entry time is 2022 / 09 / 14 18:36:43.618, and the vehicle departure time is 2022 / 09 / 14 18:36:44.841. The second tag data is the brake shoe tag code and its corresponding tag collection time whose tag collection time is within the time range of 2022 / 09 / 14 18:36:43.618 and 2022 / 09 / 14 18:36:44.841. According to the above method, the brake shoe tag code of each vehicle and its corresponding tag collection time can be obtained, and the corresponding relationship between each brake shoe tag code and the axle can be calculated more accurately based on the second mapping relationship.

[0061] Step S105: Calculate the brake shoe tag code corresponding to each axle serial number under each vehicle number according to the second mapping relationship.

[0062] After obtaining the brake shoe tag code of each vehicle and its corresponding tag collection time, it is judged whether the number of brake shoe tag codes of each vehicle is the same as the number of axles it contains. If they are the same, the time order of the tag collection time corresponding to the brake shoe tag code in the second tag data is matched with the order of the axle serial numbers under the corresponding vehicle serial number, and the brake shoe tag code corresponding to each axle serial number under each vehicle number is calculated; if they are different, the time difference between the tag collection time of each brake shoe tag code in the second tag data and the axle collection time corresponding to each axle serial number under the corresponding vehicle serial number is calculated; the brake shoe tag code with the smallest time difference corresponding to each axle serial number is determined as the brake shoe tag code corresponding to the axle serial number. After the matching of the axle and the brake shoe tag code, the problem of difficult matching of the brake shoe tag code with the vehicle number and the axle serial number can be solved, the accurate positioning of the brake shoe installation or replacement can be realized, the whole life cycle tracking of the brake shoe information can be completed, and the technical support for the brake shoe settlement and the tracking management of the brake shoe quality can be provided.

[0063] Embodiment 2

[0064] As Figure 2 shown, an embodiment of the present invention provides a method for detecting vehicle brake shoes, including the following steps S201 to S204:

[0065] Step S201: Establish a second mapping relationship according to the first mapping relationship and the first tag data. The second mapping relationship includes: vehicle serial numbers and their corresponding vehicle numbers, each axle serial number under each vehicle serial number, the axle acquisition time corresponding to each axle serial number, and the second tag data. The second tag data includes the first tag data whose tag acquisition time is between the entry time and the departure time of the vehicle corresponding to each vehicle serial number.

[0066] For each axle serial number under a certain vehicle and the axle acquisition time corresponding to each axle serial number, for example:

[0067] 1_2022 / 09 / 14 18:36:43.618;

[0068] 2_2022 / 09 / 14 18:36:43.918;

[0069] 3_2022 / 09 / 14 18:36:44.218;

[0070] 4_2022 / 09 / 14 18:36:44.841;

[0071] The first field is the axle serial number, and the second field is the axle acquisition time.

[0072] The second tag data, for example:

[0073] E202021050290_2022 / 09 / 14 18:36:43.619;

[0074] E202021050291_2022 / 09 / 14 18:36:43.998;

[0075] E202021050292_2022 / 09 / 14 18:36:44.241;

[0076] E202021050293_2022 / 09 / 14 18:36:44.840;

[0077] The first field is the brake shoe tag code, and the second field is the acquisition time of the brake shoe tag code.

[0078] Step S202: Determine whether the number of brake shoe tag codes in the second tag data is the same as the number of axle serial numbers under the corresponding vehicle serial number.

[0079] Since there is a possibility of failure in collecting brake shoe tag code data, the number of brake shoe tag codes may be different from the number of axle numbers corresponding to the vehicle serial number. Therefore, different calculation methods are adopted when the number of brake shoe tag codes is the same as or different from the number of axle numbers corresponding to the vehicle serial number.

[0080] Step S203: If the number of brake shoe tag codes in the second tag data is different from the number of axle numbers corresponding to the vehicle serial number, calculate the time difference between the tag collection time of each brake shoe tag code in the second tag data and the axle collection time corresponding to each axle number under the corresponding vehicle serial number; determine the brake shoe tag code with the smallest time difference corresponding to each axle number as the brake shoe tag code corresponding to that axle number.

[0081] For example, each axle number and the corresponding axle collection time under a certain vehicle:

[0082] 1_2022 / 09 / 14 18:36:43.618;

[0083] 2_2022 / 09 / 14 18:36:43.918;

[0084] 3_2022 / 09 / 14 18:36:44.218;

[0085] 4_2022 / 09 / 14 18:36:44.841;

[0086] The corresponding second tag data is as follows:

[0087] E202021050290_2022 / 09 / 14 18:36:43.645;

[0088] E202021050291_2022 / 09 / 14 18:36:43.978;

[0089] E202021050293_2022 / 09 / 14 18:36:44.839;

[0090] Based on the above data, it can be concluded that the axle collection time of the No. 1 axle is closest to the tag collection time of the brake shoe tag code E202021050290. Therefore, the brake shoe tag code corresponding to the No. 1 axle is E202021050290. Similarly, the brake shoe tag code corresponding to the No. 2 axle is E202021050291, and the brake shoe tag code of the No. 4 axle is E202021050293. Due to the lack of collection of brake shoe tag code data, the corresponding brake shoe tag code for the No. 3 axle is not matched, and it can be recalculated through the next collection data. Thus, the brake shoe tag code can be associated with the axle number and the vehicle number.

[0091] Step S204: If the number of brake shoe label codes in the second label data is the same as the number of axle numbers corresponding to the vehicle serial number, then match the time sequence of the label collection moments corresponding to the brake shoe label codes in the second label data with the sequence of the axle numbers corresponding to the vehicle serial number, and calculate the brake shoe label codes corresponding to each axle number under each vehicle number.

[0092] For each axle number under a certain vehicle and the axle collection moment corresponding to each axle number, for example:

[0093] 1_2022 / 09 / 14 18:36:43.618;

[0094] 2_2022 / 09 / 14 18:36:43.918;

[0095] 3_2022 / 09 / 14 18:36:44.218;

[0096] 4_2022 / 09 / 14 18:36:44.841;

[0097] The second label data, for example:

[0098] E202021050290_2022 / 09 / 14 18:36:43.619;

[0099] E202021050291_2022 / 09 / 14 18:36:43.998;

[0100] E202021050292_2022 / 09 / 14 18:36:44.241;

[0101] E202021050293_2022 / 09 / 14 18:36:44.840;

[0102] Based on the above data, it can be obtained that the number of brake shoe label codes is the same as the number of axles. Therefore, sort the label collection moments of the brake shoe label codes from small to large, and their corresponding axle numbers are sorted from small to large. For example, the brake shoe label code corresponding to the 1st axle is E202021050290, the brake shoe label code corresponding to the 2nd axle is E202021050291, the brake shoe label code corresponding to the 3rd axle is E202021050292, and the brake shoe label code corresponding to the 4th axle is E202021050293. Thus, the brake shoe label code can be associated with the axle number and the vehicle number.

[0103] Embodiment III

[0104] As Figure 3 shown, an embodiment of the present invention provides a vehicle brake shoe detection device, including:

[0105] The first acquisition module: configured to acquire axle data of a target vehicle, where the axle data includes a first mapping relationship among a vehicle serial number, an axle serial number, an axle acquisition time, and an instantaneous axle speed;

[0106] The first calculation module: configured to calculate a vehicle entry time and a vehicle departure time corresponding to each vehicle serial number according to the first mapping relationship, where the vehicle entry time is the time when the vehicle passes through the axle acquisition device, and the vehicle departure time is the time when the vehicle leaves the tag acquisition device;

[0107] The second acquisition module: configured to acquire first tag data, including a brake shoe tag code and its corresponding tag acquisition time;

[0108] The first matching module: configured to establish a second mapping relationship according to the first mapping relationship and the first tag data, where the second mapping relationship includes: a vehicle serial number and its corresponding vehicle number, each axle serial number under each vehicle serial number, and the axle acquisition time corresponding to each axle serial number and second tag data, where the second tag data includes the first tag data whose tag acquisition time is between the vehicle entry time and the vehicle departure time corresponding to each vehicle serial number;

[0109] The second calculation module: configured to calculate a brake shoe tag code corresponding to each axle serial number under each vehicle number according to the second mapping relationship.

[0110] An embodiment of the present invention provides an electronic device, which may be a tablet computer or the like, including a memory and a processor. The memory is used to store one or more computer instructions, where when the one or more computer instructions are executed by the processor, the vehicle brake shoe detection method described in the above embodiment is implemented.

[0111] Among them, the processor is used to execute all or part of the steps in the vehicle brake shoe detection method in the above embodiment. The memory is used to store various types of data, such as tag data and the like.

[0112] The processor may be implemented by an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and is used to execute the vehicle brake shoe detection method in the first embodiment above.

[0113] The memory may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as a static random access memory (SRAM), an electrically erasable programmable read-only memory (EEPROM), an erasable programmable read-only memory (EPROM), a programmable read-only memory (PROM), a read-only memory (ROM), a magnetic memory, a flash memory, a magnetic disk, or an optical disk.

[0114] In each embodiment of the present invention, each functional unit may be integrated into a processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program verification codes.

[0115] In the embodiments provided in the present disclosure, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions, and operations of devices, methods, and computer program products according to multiple embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the above-mentioned module, program segment, or part of code includes one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0116] It should be noted that in the present disclosure, the term "comprising", "including" or any other variant thereof is intended to cover a non-exclusive inclusion, such that a process, method, article or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising a..." does not exclude the existence of additional identical elements in the process, method, article or device comprising the element.

[0117] Although the embodiments disclosed in the present disclosure are as above, the above content is only an embodiment adopted for the convenience of understanding the present disclosure and is not intended to limit the present disclosure. Any person skilled in the art within the technical field to which the present disclosure pertains may make any modifications and changes in the form of implementation and details without departing from the spirit and scope disclosed in the present disclosure. However, the scope of patent protection of the present disclosure shall still be subject to the scope defined by the appended claims.

Claims

1. A vehicle brake shoe detection method, characterized in that, obtain the axle data of the target vehicle, where the axle data includes the first mapping relationship between the vehicle serial number, axle serial number, axle acquisition time, and axle instantaneous speed; calculate the vehicle entry time and vehicle departure time corresponding to each vehicle serial number according to the first mapping relationship, where the vehicle entry time is the time when the vehicle passes through the axle acquisition device, and the vehicle departure time is the time when the vehicle leaves the tag acquisition device; obtain the first tag data, including the brake shoe tag code and its corresponding tag acquisition time; establish a second mapping relationship according to the first mapping relationship and the first tag data, where the second mapping relationship includes: the vehicle serial number and its corresponding vehicle number, each axle serial number under each vehicle serial number, and the axle acquisition time and the second tag data corresponding to each axle serial number, where the second tag data includes the first tag data whose tag acquisition time is between the vehicle entry time and vehicle departure time corresponding to each vehicle serial number; calculate the brake shoe tag code corresponding to each axle serial number under each vehicle number according to the second mapping relationship.

2. The method according to claim 1, characterized in that The vehicle entry time corresponding to each vehicle serial number is the axle acquisition time corresponding to the smallest axle serial number under each vehicle serial number obtained according to the first mapping relationship.

3. The method according to claim 1, characterized in that Calculating the vehicle departure time corresponding to each vehicle serial number according to the first mapping relationship includes: obtain the axle acquisition time and axle instantaneous speed corresponding to the largest axle serial number under each vehicle serial number according to the first mapping relationship; calculate the axle travel time corresponding to the largest axle serial number under each vehicle serial number according to the axle instantaneous speed and the distance between the tag acquisition device and the axle acquisition device; calculate the vehicle departure time corresponding to each vehicle serial number according to the axle travel time and the axle acquisition time.

4. The method according to claim 3, characterized in that, The step of obtaining the axle acquisition time and axle instantaneous speed corresponding to the largest axle serial number under each vehicle serial number according to the first mapping relationship includes: if the axle instantaneous speed corresponding to the largest axle serial number under any vehicle serial number is 0, then the axle acquisition time and axle instantaneous speed corresponding to the largest axle serial number under the any vehicle serial number are the axle acquisition time and axle instantaneous speed corresponding to the smallest axle serial number under the adjacent subsequent vehicle serial number.

5. The method according to claim 1, wherein The step of calculating the brake shoe tag code corresponding to each axle serial number under each vehicle number according to the second mapping relationship includes: if the number of brake shoe tag codes in the second tag data is the same as the number of axle serial numbers under the corresponding vehicle serial number, then match the time sequence of the tag acquisition times corresponding to the brake shoe tag codes in the second tag data with the sequence of the axle serial numbers under the corresponding vehicle serial number, and calculate the brake shoe tag code corresponding to each axle serial number under each vehicle number.

6. The method according to claim 5, characterized in that, The step of calculating the brake shoe tag code corresponding to each axle serial number under each vehicle number according to the second mapping relationship further includes: If the number of brake shoe tag codes in the second tag data is different from the number of axle numbers corresponding to the vehicle serial number, calculate the time difference between the tag acquisition time of each brake shoe tag code in the second tag data and the axle acquisition time corresponding to each axle number under the corresponding vehicle serial number; Determine the brake shoe tag code corresponding to each axle number as the brake shoe tag code with the smallest time difference corresponding to each axle number.

7. The method according to claim 1, wherein The brake shoe tag code is an RFID brake shoe tag code.

8. A vehicle brake shoe detection device, characterized in that, Including: The first acquisition module: used to acquire the axle data of the target vehicle, and the axle data includes the first mapping relationship between the vehicle serial number, axle number, axle acquisition time, and axle instantaneous speed; The first calculation module: used to calculate the vehicle entry time and vehicle departure time corresponding to each vehicle serial number according to the first mapping relationship, where the vehicle entry time is the time when the vehicle passes through the axle acquisition device, and the vehicle departure time is the time when the vehicle leaves the tag acquisition device; The second acquisition module: used to acquire the first tag data, including the brake shoe tag code and its corresponding tag acquisition time; The first matching module: used to establish a second mapping relationship according to the first mapping relationship and the first tag data, and the second mapping relationship includes: the vehicle serial number and its corresponding vehicle number, each axle number under each vehicle serial number, the axle acquisition time corresponding to each axle number, and the second tag data, and the second tag data includes the first tag data whose tag acquisition time is between the vehicle entry time and the vehicle departure time corresponding to each vehicle serial number; The second calculation module: used to calculate the brake shoe tag code corresponding to each axle number under each vehicle number according to the second mapping relationship.

9. An electronic device, characterized in that, Including a memory and a processor, the memory is used to store one or more computer instructions, and when the one or more computer instructions are executed by the processor, the vehicle brake shoe detection method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium storing a program, characterized in that, When the program is executed by a computer, the vehicle brake shoe detection method according to any one of claims 1 to 7 is implemented.

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