Data interception method, device, computing equipment and storage medium based on axle counter signal

Abstract

The present application provides a data interception method, device, computing equipment and storage medium based on axle counter signals, wherein the data interception method based on axle counter signals includes: collecting axle counter signals about a target train through a preset axle counter sensor; generating a data interception signal according to the timestamp information of the axle counter sensor and the axle counter signal; receiving the original data stream about the target train; based on the data interception signal, intercepting the original data stream to obtain a target data fragment. Through low hardware cost and low hardware deployment difficulty, the original data stream in the train detection process is intercepted, and it has a high data utilization rate for the requirements under the detection framework of split axle and split carriage, and can delete useless data, thereby improving the processing efficiency and processing timeliness of the algorithm.

Description

Technical Field

[0001] The present application relates to the field of track detection technology, and in particular to a data interception method based on an axle counter signal. The present application also relates to a data interception device based on an axle counter signal, a computing device, and a computer-readable storage medium. Background Art

[0002] At present, eddy current magnetic axle counter sensors are widely used in trackside vehicle positioning, wheel division, axle division, and car division. The main principle is to generate an alternating magnetic field to induce the trigger during the passing of the vehicle, and to judge the arrival of the vehicle through the high level generated after the trigger. The working principle of the traditional magnetic steel detection system is to receive and judge the data generated after the wheel triggers the magnet through PLC.

[0003] However, the existing axle counter sensors are often used in large systems for trackside vehicle safety detection. The functions they realize are limited to counting vehicle speed and axles, and they fail to play a greater role. In addition, for the existing train detection methods, when detecting targets such as roof pantographs and air conditioners, they rely on triggering the target objects, such as using long-distance photoelectric switches for triggering. However, this triggering method is difficult to debug, especially the centering debugging of the beam switch; it is easily affected by the environment and causes false alarms. Due to the blocking working principle, abnormal occlusion can also cause false triggering; for surfaces with low flatness, when the laser hits the surface to be tested, diffuse reflection is likely to occur, resulting in missed triggering and other problems. Summary of the invention

[0004] In view of this, the embodiment of the present application provides a data interception method based on an axle counter signal to solve the technical defects existing in the prior art. The embodiment of the present application also provides a data interception device based on an axle counter signal, a computing device, and a computer-readable storage medium.

[0005] According to a first aspect of an embodiment of the present application, a data interception method based on an axle counter signal is provided, comprising:

[0006] The axle counting signal of the target train is collected through a preset axle counting sensor;

[0007] generating a data interception signal according to the timestamp information of the axle counter sensor and the axle counter signal;

[0008] Receiving a raw data stream about the target train;

[0009] Based on the data interception signal, the original data stream is intercepted to obtain a target data segment.

[0010] Optionally, collecting an axle counting signal of a target train includes:

[0011] Based on the preset axle counter sensor, the axle counter signal is collected when the target train passes through the arrangement area of ​​the axle counter sensor and the wheels of the target train trigger the alternating magnetic field of the axle counter sensor.

[0012] Optionally, generating a data interception signal according to the timestamp information of the axle counter sensor and the axle counter signal includes:

[0013] Associating the timestamp information with the axle counting signal, and determining a time point corresponding to a signal peak in the axle counting signal as a target time point;

[0014] Based on all target time points, a data capture signal is generated.

[0015] Optionally, the intercepting the original data stream based on the data interception signal to obtain a target data segment includes:

[0016] Based on a preset grouping strategy, the target time points contained in the data interception signal are grouped to obtain a plurality of target time point groups;

[0017] The original data is intercepted according to all the target time point groups to obtain the target data segments.

[0018] Optionally, the target time points contained in the data interception signal are grouped based on a preset grouping strategy to obtain a plurality of target time point groups, including:

[0019] Two target time points in the data interception signal whose time interval is within a preset time interval are selected as the target time point group.

[0020] Optionally, the intercepting the original data stream based on the data interception signal to obtain a target data segment includes:

[0021] Determine the interception time data based on a preset time interval algorithm;

[0022] Locating an interception time interval based on the interception time data and the target time point included in the data interception signal;

[0023] The original data stream is intercepted according to the interception time interval to obtain the target data segment.

[0024] Optionally, determining the interception time data based on a preset time interval algorithm includes:

[0025] Determining train speed information of the target train according to the timestamp information, the axle counter signal and the wheel spacing of the target train;

[0026] The interception time interval is determined according to the train speed information.

[0027] According to a second aspect of an embodiment of the present application, a data interception device based on an axle counter signal is provided, comprising:

[0028] The acquisition module is configured to acquire an axle counting signal of a target train through a preset axle counting sensor;

[0029] A generating module, configured to generate a data interception signal according to the timestamp information of the axle counter sensor and the axle counter signal;

[0030] A receiving module, configured to receive a raw data stream about the target train;

[0031] The interception module is configured to intercept the original data stream based on the data interception signal to obtain a target data segment.

[0032] According to a third aspect of an embodiment of the present application, a computing device is provided, including:

[0033] Memory and processor;

[0034] The memory is used to store computer executable instructions, and the processor implements the steps of the data interception method based on the axle counter signal when executing the computer executable instructions.

[0035] According to a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, which stores computer-executable instructions, and when the instructions are executed by a processor, the steps of the data interception method based on the axle counter signal are implemented.

[0036] According to a fifth aspect of the embodiments of the present application, a chip is provided, which stores a computer program, and when the computer program is executed by the chip, the steps of the data interception method based on the axle counter signal are implemented.

[0037] The data interception method based on axle counter signal provided by the present application collects the axle counter signal of the target train through a preset axle counter sensor; generates a data interception signal according to the timestamp information of the axle counter sensor and the axle counter signal; receives the original data stream of the target train; intercepts the original data stream based on the data interception signal to obtain the target data fragment. Through the method of low hardware cost and low hardware layout difficulty, the original data stream in the train detection process is intercepted, and it has a high data utilization rate for the requirements under the detection framework of split axle and split carriage, and can delete useless data, thereby improving the processing efficiency and processing timeliness of the algorithm. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0039] Figure 1 is a flow chart of a data interception method based on an axle counter signal provided by an embodiment of the present application;

[0040] Figure 2 It is a schematic diagram of the structure of an axle counter sensor according to a data interception method based on an axle counter signal provided in an embodiment of the present application;

[0041] Figure 3 This is a schematic diagram of original data stream interception of a data interception method based on an axle counter signal provided in an embodiment of the present application;

[0042] Figure 4 It is a structural schematic diagram of a data interception device based on an axle counter signal provided by an embodiment of the present application;

[0043] Figure 5 It is a structural block diagram of a computing device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0044] Many specific details are described in the following description to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of the present application, so the present application is not limited by the specific implementation disclosed below.

[0045] The terms used in one or more embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of the present application. The singular forms of "a", "said" and "the" used in one or more embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of the present application refers to and includes any or all possible combinations of one or more associated listed items.

[0046] It should be understood that, although the terms first, second, etc. may be used to describe various information in one or more embodiments of the present application, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0047] In the present application, a data interception method based on an axle counter signal is provided. The present application also relates to a data interception device based on an axle counter signal, a computing device, and a computer-readable storage medium, which are described in detail one by one in the following embodiments.

[0048] Figure 1 A flow chart of a method for intercepting data based on an axle counter signal according to an embodiment of the present application is shown, which specifically includes the following steps:

[0049] Step S102: collecting an axle counting signal of a target train through a preset axle counting sensor;

[0050] Step S104: generating a data interception signal according to the timestamp information of the axle counter sensor and the axle counter signal;

[0051] Step S106: receiving an original data stream about the target train;

[0052] Step S108: Based on the data interception signal, the original data stream is intercepted to obtain a target data segment.

[0053] Among them, the target train is a train that needs to intercept the corresponding original data stream. When the train passes through the preset information collection position, the corresponding original data stream and axle counting signal can be collected without stopping; the axle counting signal can be understood as including waveform information of each axle of the target train passing through the axle counting sensor layout position during the driving process of the target train.

[0054] In addition, the timestamp information is the time information of each waveform point in the corresponding axle counting signal determined by the axle counting sensor through its internal clock; the original data stream is the audio and / or video stream data collected during the relevant train detection process of the target train;

[0055] Based on this, when the target train passes through a preset detection position, the axle counter sensor collects the axle counter signal of the target train, and the audio and / or video acquisition sensor collects the original data stream of the target train; the timestamp information is determined by the built-in clock of the axle counter sensor, and the timestamp information is combined with the axle counter signal to generate a data interception signal. Through the data interception signal, the corresponding interception point is selected and determined in the original data stream, and the original data stream is intercepted to obtain the target data segment.

[0056] In actual usage scenarios, during the train inspection process that targets whether there are faults in the carriages of the train, it can be clarified that the connection positions of the carriages have no correlation with the inspection. Then, for the collected original data stream, taking the video stream as an example, the image frames about the connection positions of the carriages in the video stream are non-related data. By intercepting the video stream in the above manner, we can obtain video frames containing only each carriage, i.e., the target data slices. This can save the data resource occupancy rate when processing data, thereby improving the processing efficiency of related fault detection algorithms.

[0057] Furthermore, the process of collecting the axle counting signal of the target train is specifically implemented as follows in this embodiment:

[0058] Based on the preset axle counter sensor, the axle counter signal is collected when the target train passes through the arrangement area of ​​the axle counter sensor and the wheels of the target train trigger the alternating magnetic field of the axle counter sensor.

[0059] Among them, Figure 2 As shown in the schematic diagram of the structure of an axle counter sensor based on a data interception method of an axle counter signal, the axle counter sensor is composed of a wheel sensor, a signal adapter board, a PLC and a power supply. In practical applications, the wheel sensor is mainly composed of at least two magnets. When the target train passes through the arrangement position of the wheel sensor, the wheels of the target train pass through the alternating magnetic field emitted by the magnets, and the information of the wheel passing will be obtained. This information is converted from the TTL level to the 24V voltage required by the PLC through the signal adapter board to obtain the axle counter signal. The power supply, signal adapter board and PLC are placed in the equipment box next to the rails, and the wheel sensors are respectively installed on the rails and fixed with a rail clamp device.

[0060] It should be noted that in the process of signal detection of trains, the timestamp information of the axle counter sensor is used to assist in data truncation, displacement selection and splicing. It is necessary to ensure that the wheel sensor trigger has high timeliness and high synchronization to reduce delays. Therefore, through the above axle counter sensor structure design, in the application scenario where the target train speed is faster, a short trigger response time can be achieved to ensure the accuracy of the axle counter.

[0061] Furthermore, the process of generating the data interception signal according to the timestamp information and the axle counter signal of the axle counter sensor is specifically implemented as follows in this embodiment:

[0062] The timestamp information is associated with the axle counting signal, and a time point corresponding to a signal peak in the axle counting signal is determined as a target time point; and a data interception signal is generated based on all target time points.

[0063] Furthermore, based on the data interception signal, the original data stream is intercepted to obtain the target data segment. In this embodiment, the specific implementation method is as follows:

[0064] Based on a preset grouping strategy, the target time points contained in the data interception signal are grouped to obtain a plurality of target time point groups; and according to all the target time point groups, the original data are intercepted to obtain the target data fragments.

[0065] Furthermore, based on a preset grouping strategy, the target time points contained in the data interception signal are grouped to obtain a plurality of target time point groups. In this embodiment, the specific implementation is as follows:

[0066] Two target time points in the data interception signal whose time interval is within a preset time interval are selected as the target time point group.

[0067] Among them, since the axle counter sensor collects relevant information about the passing of wheels, and in actual usage scenarios, the wheels and axles are associated, it means that when it is determined that a pair of wheels have passed, the corresponding axles have passed synchronously.

[0068] Based on this, any signal peak in the axle counting signal can be considered as an axle of the target train passing through the corresponding detection area. By associating the axle counting signal with the timestamp signal, the time point when the axle passes through the detection area, that is, the target time point, can be determined.

[0069] The subsequent process of intercepting the initial data stream through the data interception signal, such as Figure 3 A schematic diagram of the original data stream interception of a data interception method based on an axle counter signal is provided, wherein Figure 3 In a, for some detection scenarios, the target object that needs to be detected, such as the pantograph of a train, is located in the middle section of the carriage, and each carriage has two pairs of wheels, which are located at the front and rear sections of the carriage respectively, and the pantograph is located between the two pairs of wheels of the corresponding carriage.

[0070] Then, in the axle counting signal, the target time points corresponding to a pair of axles in the same car are determined, that is, the target time point group. Due to the wheel arrangement, the distance between two adjacent axles between different cars and the two axles in the same car are different. The time interval between the two axles in the same car passing through the axle counting sensor can be determined by the train speed at the corresponding moment. The preset time interval interval can be determined based on this time interval combined with the allowable time interval error. The two target time points within this interval are considered to be the time points corresponding to the two axles in the same car.

[0071] In addition, for the case where two pairs of wheels are arranged at the front and two pairs at the rear in the same carriage, for a total of four pairs of wheels, it is also possible to eliminate adjacent wheel groups based on the preset time interval and select two axles to include the corresponding time points at which the positions of the target objects to be detected are located to form a target time point group.

[0072] After determining the target time point group, Figure 3 As shown in (a), if the target time point group is timestamp t1 and timestamp t2, in the audio or video data stream corresponding to the original data stream, the data stream between timestamp t1 and timestamp t2 is intercepted to obtain the target data segment; finally, data truncation, displacement selection and splicing are performed on all the selected target data segments, so as to obtain key data and reduce the amount of data before entering the corresponding train detection algorithm for processing.

[0073] Furthermore, in addition to the above-mentioned interception method of the original data stream, there is also an interception method through a single target time point. In this embodiment, the specific implementation method is as follows:

[0074] Based on a preset time interval algorithm, the interception time data is determined; based on the interception time data and the target time point contained in the data interception signal, the interception time interval is located; according to the interception time interval, the original data stream is intercepted to obtain the target data segment.

[0075] Furthermore, based on the preset time interval algorithm, the process of intercepting time data is determined. In this embodiment, the specific implementation method is as follows:

[0076] The train speed information of the target train is determined according to the timestamp information, the axle counter signal and the wheel spacing of the target train; and the interception time interval is determined according to the train speed information.

[0077] Among them, Figure 3 A schematic diagram of the original data stream interception of a data interception method based on an axle counter signal is provided, wherein Figure 3 In b, if the target object for train detection of the target train is related to the position relationship of the axle, such as the axle fixing bolt, then the interception of the original data stream at this time can be to select a time interval after determining the train speed, that is, the interception time interval, and then intercept within a certain range before and after the target time point through the interception time interval to obtain the target data fragment, that is, intercept within a certain range before and after the timestamp t1.

[0078] Corresponding to the above method embodiment, the present application also provides an embodiment of a data interception device based on an axle counter signal, Figure 4 FIG. 1 is a schematic diagram showing a data interception device based on an axle counter signal provided by an embodiment of the present application. Figure 4 As shown, the device comprises:

[0079] The acquisition module 402 is configured to acquire an axle counting signal of the target train through a preset axle counting sensor;

[0080] A generating module 404 is configured to generate a data interception signal according to the timestamp information of the axle counter sensor and the axle counter signal;

[0081] A receiving module 406 is configured to receive an original data stream about the target train;

[0082] The interception module 408 is configured to intercept the original data stream based on the data interception signal to obtain a target data segment.

[0083] In an optional embodiment, the acquisition module 402 is further configured to:

[0084] Based on the preset axle counter sensor, the axle counter signal is collected when the target train passes through the arrangement area of ​​the axle counter sensor and the wheels of the target train trigger the alternating magnetic field of the axle counter sensor.

[0085] In an optional embodiment, the generating module 404 is further configured to:

[0086] The timestamp information is associated with the axle counting signal, and a time point corresponding to a signal peak in the axle counting signal is determined as a target time point; and a data interception signal is generated based on all target time points.

[0087] In an optional embodiment, the interception module 408 is further configured to:

[0088] Based on a preset grouping strategy, the target time points contained in the data interception signal are grouped to obtain a plurality of target time point groups; and according to all the target time point groups, the original data are intercepted to obtain the target data fragments.

[0089] In an optional embodiment, the interception module 408 is further configured to:

[0090] Two target time points in the data interception signal whose time interval is within a preset time interval are selected as the target time point group.

[0091] In an optional embodiment, the interception module 408 is further configured to:

[0092] Based on a preset time interval algorithm, the interception time data is determined; based on the interception time data and the target time point contained in the data interception signal, the interception time interval is located; according to the interception time interval, the original data stream is intercepted to obtain the target data segment.

[0093] In an optional embodiment, the interception module 408 is further configured to:

[0094] The train speed information of the target train is determined according to the timestamp information, the axle counter signal and the wheel spacing of the target train; and the interception time interval is determined according to the train speed information.

[0095] The data interception device based on axle counter signal provided by the present application collects axle counter signals about the target train through a preset axle counter sensor; generates a data interception signal according to the timestamp information of the axle counter sensor and the axle counter signal; receives the original data stream about the target train; intercepts the original data stream based on the data interception signal to obtain the target data fragment. Through the method of low hardware cost and low hardware layout difficulty, the original data stream in the train detection process is intercepted, and it has a high data utilization rate for the requirements under the detection framework of split axle and split car, and can delete useless data, thereby improving the processing efficiency and processing time of the algorithm.

[0096] The above is a schematic scheme of a data interception device based on an axle counter signal of this embodiment. It should be noted that the technical scheme of the data interception device based on an axle counter signal and the technical scheme of the data interception method based on an axle counter signal belong to the same concept. For details not described in detail in the technical scheme of the data interception device based on an axle counter signal, please refer to the description of the technical scheme of the data interception method based on an axle counter signal. In addition, each component in the device embodiment should be understood as a functional module that must be established to implement each step of the program flow or each step of the method, and each functional module is not an actual functional division or separation definition. The device claim defined by such a group of functional modules should be understood as a functional module architecture that mainly implements the solution through a computer program recorded in the specification, and should not be understood as a physical device that mainly implements the solution through hardware.

[0097] Figure 5 The block diagram of a computing device 500 provided according to an embodiment of the present application is shown. The components of the computing device 500 include but are not limited to a memory 510 and a processor 520. The processor 520 is connected to the memory 510 via a bus 530, and the database 550 is used to store data.

[0098] The computing device 500 also includes an access device 540 that enables the computing device 500 to communicate via one or more networks 560. Examples of these networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. The access device 540 may include one or more of any type of network interface (e.g., a network interface card (NIC)) that is wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a World Wide Interoperability for Microwave Access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, a near field communication (NFC) interface, and the like.

[0099] In one embodiment of the present application, the above components of the computing device 500 and Figure 5 Other components not shown in the figure may also be connected to each other, for example, via a bus. It should be understood that Figure 5 The computing device structure block diagram shown is only for the purpose of illustration, and is not intended to limit the scope of the present application. Those skilled in the art may add or replace other components as needed.

[0100] Computing device 500 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, a personal digital assistant, a laptop computer, a notebook computer, a netbook, etc.), a mobile phone (e.g., a smart phone), a wearable computing device (e.g., a smart watch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or PC. Computing device 500 may also be a mobile or stationary server.

[0101] The processor 520 is used to execute computer executable instructions of each step of the data interception method based on the axle counter signal.

[0102] The above is a schematic scheme of a computing device of this embodiment. It should be noted that the technical scheme of the computing device and the technical scheme of the data interception method based on the axle counter signal belong to the same concept, and the details not described in detail in the technical scheme of the computing device can be referred to the description of the technical scheme of the data interception method based on the axle counter signal.

[0103] An embodiment of the present application further provides a computer-readable storage medium storing computer instructions, which are used to execute the steps of the data interception method based on the axle counter signal when the instructions are executed by a processor.

[0104] The above is a schematic scheme of a computer-readable storage medium of this embodiment. It should be noted that the technical scheme of the storage medium and the technical scheme of the data interception method based on the axle counter signal belong to the same concept, and the details not described in detail in the technical scheme of the storage medium can be referred to the description of the technical scheme of the data interception method based on the axle counter signal.

[0105] An embodiment of the present application further provides a chip storing a computer program, which implements the steps of the data interception method based on the axle counter signal when the computer program is executed by the chip.

[0106] The above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0107] The computer instructions include computer program codes, which may be in source code form, object code form, executable files or some intermediate forms, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0108] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described action sequence, because according to the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0109] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0110] The preferred embodiments of the present application disclosed above are only used to help explain the present application. The optional embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of the present application. The present application selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present application, so that those skilled in the art can understand and use the present application well. The present application is only limited by the claims and their full scope and equivalents.

Claims

1. A data interception method based on an axle counter signal, characterized in that: include: The axle counting signal of the target train is collected through a preset axle counting sensor; Generate a data interception signal according to the timestamp information of the axle counter sensor and the axle counter signal. Specifically, associate the timestamp information with the axle counter signal, determine the time point corresponding to the signal peak in the axle counter signal as the target time point, and generate the data interception signal based on all the target time points; Receiving a raw data stream about the target train; Based on the data interception signal, the original data stream is intercepted to obtain the target data segment. Specifically, two target time points in the data interception signal whose time interval is within a preset time interval are selected as the target time point group, and the original data is intercepted according to all the target time point groups to obtain the target data segment; or the train speed information of the target train is determined according to the timestamp information, the axle counting signal and the wheel spacing of the target train, and the interception time interval is determined according to the train speed information, and the interception time interval is located based on the interception time data and the target time point contained in the data interception signal, and the original data stream is intercepted according to the interception time interval to obtain the target data segment.

2. The method according to claim 1, characterized in that The collecting of axle counting signals of the target train includes: Based on the preset axle counter sensor, the axle counter signal is collected when the target train passes through the arrangement area of ​​the axle counter sensor and the wheels of the target train trigger the alternating magnetic field of the axle counter sensor.

3. A data interception device based on an axle counter signal, characterized in that: include: The acquisition module is configured to acquire an axle counting signal of a target train through a preset axle counting sensor; A generating module is configured to generate a data interception signal according to the timestamp information of the axle counter sensor and the axle counter signal, specifically, to associate the timestamp information with the axle counter signal, and to determine the time point corresponding to the signal peak in the axle counter signal as the target time point, and to generate the data interception signal based on all the target time points; A receiving module, configured to receive a raw data stream about the target train; The interception module is configured to intercept the original data stream based on the data interception signal to obtain target data segments. Specifically, two target time points with a time interval within a preset time interval in the data interception signal are selected as target time point groups, and the original data is intercepted according to all the target time point groups to obtain the target data segments; or the train speed information of the target train is determined according to the timestamp information, the axle counter signal and the wheel spacing of the target train, and the interception time interval is determined according to the train speed information, and the interception time interval is located based on the interception time data and the target time point contained in the data interception signal, and the original data stream is intercepted according to the interception time interval to obtain the target data segments.

4. A computing device, characterized in that include: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions to implement the steps of the data interception method based on the axle counter signal according to any one of claims 1 to 2.

5. A computer-readable storage medium storing computer instructions, characterized in that: When the instruction is executed by the processor, the steps of the data interception method based on the axle counter signal described in any one of claims 1 to 2 are implemented.

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