A method for automatic train preparation and related components

Abstract

The application discloses a train automatic preparation method and related components thereof, and relates to the field of train preparation. A ground attendance system sends driver information to a driver information device on a train, so that the driver information device forwards the driver information to each to-be-prepared device on the train, so that the to-be-prepared devices perform driver identity verification, and after successful verification, a processor on the train controls all the to-be-prepared devices to perform respective corresponding preparation tasks, and determines whether the train is successfully prepared according to preparation results of the to-be-prepared devices. The mode of sending the driver information to each to-be-prepared device through the driver information device is equivalent to making the to-be-prepared devices automatically perform driver information verification, and staff is no longer needed to perform card insertion verification on each to-be-prepared device. The mode of automatically performing preparation by the processor controlling each to-be-prepared device is equivalent to making staff automatically perform preparation, so that the preparation efficiency is improved, and the situation of abnormal preparation caused by manual misoperation is avoided.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of train preparation, in particular to a train automatic preparation method and related components thereof. BACKGROUND

[0002] Before a train departs, in order to ensure the running safety of the train, a series of preparations need to be performed on the train, for example, a staff needs to log in to a third-party device carried on the train and check the status of key devices. In the prior art, when a train is prepared, the preparation is usually performed manually. When logging in to the third-party device, the staff inserts an identity information card into a corresponding interface of the third-party device to perform identity verification and login. When checking the status of the key devices, the status of each device is observed and checked manually. It can be seen that the method of performing preparation manually not only has low efficiency, but also takes a long time. In addition, during the preparation process, abnormal preparation may occur due to the misoperation of the staff. SUMMARY

[0003] The purpose of the present application is to provide a train automatic preparation method and related components thereof, which do not require the staff to perform card insertion verification on each device to be prepared and do not require the staff to perform manual preparation, thereby improving the preparation efficiency and avoiding abnormal preparation due to manual misoperation.

[0004] To solve the above technical problems, the present application provides a train automatic preparation method applied to a processor in a train, wherein the train further comprises a driver information device and N devices to be prepared, the driver information device is connected with a ground attendance system, N is a positive integer, and the train automatic preparation method comprises the following steps.

[0005] After the driver information device sends driver information sent by the ground attendance system to the processor and N devices to be prepared respectively, it is determined whether the driver information is correct driver information.

[0006] If the driver information is correct driver information, N devices to be prepared are controlled to perform preset preparation tasks corresponding to N devices to be prepared respectively.

[0007] Preparation information generated by N devices to be prepared performing the preset preparation tasks is obtained.

[0008] The preparation state of the train is determined according to N pieces of preparation information, wherein the preparation state comprises a preparation success state and a preparation failure state.

[0009] Preferably, before N devices to be prepared are controlled to perform preset preparation tasks corresponding to N devices to be prepared respectively, the following steps are further included.

[0010] determining whether the driver information received by the processor itself is consistent with the driver information received by the N pieces of equipment to be prepared;

[0011] if consistent, then entering a step of controlling the N pieces of equipment to be prepared to perform preset preparation tasks corresponding to the N pieces of equipment to be prepared themselves;

[0012] otherwise, determining that the driver information is not correct driver information.

[0013] Preferably, determining the preparation state of the train according to the N pieces of preparation information comprises:

[0014] determining whether there is preparation information indicating preparation failure in the N pieces of preparation information;

[0015] if there is, determining that the preparation equipment of the train is in a preparation failure state.

[0016] Preferably, the method further comprises:

[0017] if not, determining the preparation state of the train according to a combination of the M pieces of preparation information, M being an integer not less than 2 and not greater than N.

[0018] Preferably, determining whether the driver information is correct driver information comprises:

[0019] determining whether the driver information exists in a preset driver information library;

[0020] if yes, determining that it is correct driver information;

[0021] if not, determining that it is incorrect driver information.

[0022] Preferably, after determining the preparation state of the train according to the N pieces of preparation information, the method further comprises:

[0023] if the preparation state of the train is a preparation failure state, generating a prompt information;

[0024] sending the prompt information to a prompt module so that the prompt module gives a prompt.

[0025] Preferably, before controlling the N pieces of equipment to be prepared to perform the preset preparation tasks corresponding to the N pieces of equipment to be prepared themselves, the method further comprises:

[0026] controlling the N pieces of equipment to be prepared to perform preset self-check tasks corresponding to the N pieces of equipment to be prepared themselves;

[0027] determining a self-check state of the N pieces of equipment to be prepared after performing the preset self-check tasks, the self-check state comprising a self-check success state and a self-check failure state;

[0028] determining whether N self-checking states are all self-checking success states;

[0029] If yes, entering a step of controlling N standby devices to perform N preset preparation tasks corresponding to the N standby devices.

[0030] The application further provides a train automatic preparation device, comprising:

[0031] a memory for storing a computer program;

[0032] a controller for executing the computer program to realize the steps of the train automatic preparation method.

[0033] The application further provides a train automatic preparation system applied to a processor in a train, wherein the train further comprises a driver information device and N standby devices, the driver information device is connected with a ground attendance system, N is a positive integer, and the train automatic preparation system comprises:

[0034] a driver information judging unit for judging whether driver information sent by the driver information device is correct driver information after the driver information device sends the driver information sent by the ground attendance system to the processor and the N standby devices, and triggering a preparation unit if the driver information is correct driver information;

[0035] the preparation unit for controlling the N standby devices to perform N preset preparation tasks corresponding to the N standby devices;

[0036] a preparation information obtaining unit for obtaining preparation information generated by the N standby devices performing the preset preparation tasks;

[0037] a preparation state determining unit for determining a preparation state of the train according to the N preparation information, wherein the preparation state comprises a preparation success state and a preparation failure state.

[0038] The application further provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program is executed by a processor to realize the steps of the train automatic preparation method.

[0039] The application provides a train automatic preparation method and related components thereof, relates to the field of train preparation, and is applied to a processor in a train, wherein the train further comprises a driver information device and a plurality of to-be-prepared devices; the driver information device is connected with a ground attendance system; the ground attendance system sends driver information to the driver information device; the driver information device sends the driver information to each to-be-prepared device in the train; then the processor judges whether the driver information is correct driver information; if the driver information is correct driver information, all other to-be-prepared devices are controlled to perform corresponding preparation tasks; the preparation state of the train is determined according to the preparation results of the to-be-prepared devices, and the preparation state comprises a preparation success state and a preparation failure state. The driver information device sends the driver information to each to-be-prepared device, which is equivalent to making the to-be-prepared devices perform driver information verification in advance, and staff need not perform card insertion verification on each to-be-prepared device; the processor controls each to-be-prepared device to automatically perform preparation, staff need not manually perform preparation, the efficiency is improved, the preparation time is shortened, and the situation that preparation abnormity occurs due to manual misoperation is avoided. BRIEF DESCRIPTION OF DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the prior art and the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0041] Figure 1 A flowchart of a train automatic preparation method provided by the present application;

[0042] Figure 2 A schematic diagram of a communication relationship between the ground and the train provided by the present application;

[0043] Figure 3 A structural schematic diagram of a train automatic preparation device provided by the present application;

[0044] Figure 4 A structural schematic diagram of a train automatic preparation system provided by the present application. DETAILED DESCRIPTION

[0045] The core of the present application is to provide a train automatic preparation method and related components thereof, which do not need staff to perform card insertion verification on each to-be-prepared device, do not need staff to manually perform preparation, improve the preparation efficiency, and avoid the situation that preparation abnormity occurs due to manual misoperation.

[0046] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0047] Please refer to Figure 1 , Figure 1 A flow chart of a train automatic preparation method is provided for the present application, which is applied to a processor in a train, the train further comprising a driver information device and N to-be-prepared devices, the driver information device being connected with a ground attendance system, N being a positive integer, and the train automatic preparation method comprising:

[0048] S1: after the driver information device sends driver information sent by the ground attendance system to the processor and the N to-be-prepared devices respectively, it is judged whether the driver information is correct driver information;

[0049] Before a train is put into operation, it needs to be prepared before departure. In the prior art, the preparation of all devices on the train is completed by manual work, and manual preparation has the problems of low preparation efficiency, long time consumption, complex preparation process and difficulty in finding problems in the preparation process.

[0050] In order to solve the above technical problems, in the present application, it is considered that the driver information needs to be verified before the preparation of the devices on the train, for example, the driver information needs to be verified for the third-party devices ATP (Automatic Train Protection, train automatic protection system), ATO (Automatic Train Operation, train automatic driving system) and CIR (Cab Integrated Radio communication equipment, locomotive integrated wireless communication device) on the vehicle. Since the on-duty time of each driver and staff is different, the information of the on-duty staff or driver corresponding to the current time period needs to be verified in different time periods. Therefore, the driver information is sent to the train by the ground attendance system instead of manual login and registration of these third-party devices. Specifically, the driver information device is an EOAS (Engineer Operation Analysis System, motor train unit driver control information analysis system) device on the train. Please refer to Figure 2 , Figure 2A schematic diagram of a communication relationship between the ground and the train is provided, the communication between the ground attendance system of the railway bureau and the vehicle-mounted EOAS system is established in advance, then the driver information is sent to the ground EOAS system, then the ground EOAS system sends the driver information such as the worker number, the type of work, the position, the face information and the fingerprint information of the driver or the worker to the vehicle-mounted EOAS system through the wireless network, so that the vehicle-mounted EOAS system sends the driver information to each device (such as the APT, the CIR and the like) on the train, so that the devices can verify the driver information, take the CCU (Communication Control Unit, central control unit) on the train as a processor to perform subsequent steps, and finally output the result of the preparation to the mobile terminal or the HMI (Human Machine Interface, human-machine interface) of the train for display. By this method, the manual login and registration of the device are replaced, and the original manual login and registration is changed to the current simultaneous multiple automatic login and registration, which greatly improves the preparation speed of the whole train, and avoids the information error caused by the input error of the worker when manually inputting information. Further, in order to ensure the correctness of the driver information, after obtaining the driver information, it still needs to be judged whether the obtained driver information is correct driver information. The correct driver information can be set in advance, for example, the information of each driver and worker on duty in the current time period can be called as correct driver information, or the information of some specified workers can be called as correct driver information.

[0051] S2: if it is correct driver information, controlling N to-be-prepared devices to perform the preset preparation task corresponding to the N to-be-prepared devices themselves;

[0052] After determining that the obtained driver information is correct, it is indicated that each device on the train has completed the driver information verification, and the preparation step can be entered. Specifically, if the worker needs to prepare each device on the train, the worker needs to understand the preparation process of each device on the train before preparation, therefore, the preparation process of each device on the train is known to the worker on the train. Based on this, the preparation process of each device on the train can be made into a corresponding software algorithm file and stored in the file library of the train in advance. When preparing, the processor on the train calls each preparation file in the file library to control the preparation of these to-be-prepared devices, which is equivalent to that multiple devices perform the preparation task in parallel, so as to replace the manual preparation one by one in the prior art. The preparation speed of the whole train can be greatly improved, and the preparation abnormality caused by the operation error of the worker when preparing manually is avoided.

[0053] S3: obtaining N pieces of preparation information generated by the N pieces of preparation equipment performing the preset preparation task;

[0054] S4: determining the preparation state of the train according to the N pieces of preparation information, the preparation state including a preparation success state and a preparation failure state.

[0055] In the process of preparing the preparation equipment, the preparation equipment will continuously output some data information generated by the preparation, which is called preparation information. The processor obtains the preparation information in real time and determines the preparation state of the train in real time according to the preparation information. The processor will continuously obtain and determine during the preparation of the preparation equipment, not after the preparation of the preparation equipment is completed. When determining the preparation state of the train according to the N pieces of preparation information, not only is it necessary to determine whether each piece of preparation information deviates from the normal parameter range, but also it is necessary to determine whether the train may be abnormal according to the specific values of the multiple pieces of preparation information and the relationship between the multiple pieces of preparation information. For example, when it is detected that the voltage of a device on the train is low but still within the normal range, and the working frequency of another device providing data and signals to the device is high but still within the normal range, it may indicate that the devices are working in a low-voltage and high-frequency mode, rather than a normal working mode. Therefore, it can be determined that the state of the train is abnormal, and the preparation state of the train is determined to be a preparation failure state.

[0056] In summary, the driver information device sends the driver information to each preparation equipment in the train, and then the processor determines whether the driver information is correct driver information. If it is correct driver information, control all other preparation equipment to perform the corresponding preparation task, and determine the preparation state of the train according to the preparation results of the preparation equipment, the preparation state including a preparation success state and a preparation failure state. By sending the driver information to each preparation equipment through the driver information device, it is equivalent to making the preparation equipment perform driver information verification in advance, without the need for staff to perform card insertion verification on each preparation equipment. By automatically controlling each preparation equipment to perform preparation through the processor, manual preparation is not required, which not only improves efficiency, but also shortens the preparation time and avoids the occurrence of preparation abnormalities due to manual errors.

[0057] Based on the above embodiment:

[0058] As a preferred embodiment, before controlling the N pieces of preparation equipment to perform the N pieces of preparation equipment corresponding to the preset preparation task, it further includes:

[0059] determining whether the driver information received by the processor itself is consistent with the driver information received by the N devices to be prepared;

[0060] if consistent, entering a step of controlling the N devices to be prepared to perform the preset preparation tasks corresponding to the N devices to be prepared themselves;

[0061] otherwise, determining that the driver information is not correct driver information.

[0062] In order to ensure the correctness of the device preparation, in the present application, considering that some devices on the train need to be verified for the driver identity before use and preparation, which is equivalent to the user needing to input the account password for login before using the software application, further, considering that not all staff can perform the preparation task, and the staff responsible for the preparation at different time periods are different, therefore, each device on the train needs to verify different driver information at different time periods, based on this, when verifying, the driver information device on the train receives the driver information sent by the ground, and then the driver information device sends the driver information to various devices on the train, so that the devices verify the driver information. Since the driver information device generates multiple driver information and sends them to multiple devices at the same time, the process may be disturbed and errors may be found, which may lead to the driver information verified by other devices not being the driver information sent by the ground. Therefore, after the driver information device sends the driver information to the devices and the processor, the processor determines whether the driver information received by other devices is consistent with itself, if the driver information received by all other devices is consistent with the processor, it means that all devices receive the same driver information, considering that it is usually not the case that all driver information is incorrect information, so it can be determined that the driver information is correct driver information. Based on this, after ensuring the correctness of the driver information, the correctness of the device preparation can be ensured.

[0063] As a preferred embodiment, determining the preparation state of the train according to the N preparation information, comprising:

[0064] determining whether there is preparation information indicating preparation failure in the N preparation information;

[0065] if so, determining that the preparation equipment of the train is in the preparation failure state.

[0066] In order to ensure the accuracy of the train preparation, in the present application, it is necessary to detect the preparation process of each to-be-prepared device in real time. When the to-be-prepared device is being prepared, the to-be-prepared device will detect whether an error occurs in the preparation process of the to-be-prepared device, for example, the to-be-prepared device will detect whether some parameters generated by the to-be-prepared device are correct, or judge whether some tasks of the to-be-prepared device are normally executed, or judge whether the to-be-prepared device can automatically execute the next preparation process step, etc. If the to-be-prepared device detects that some errors occur in the preparation process of the to-be-prepared device, a signal indicating that the preparation fails and all data information generated in the preparation process of the to-be-prepared device are sent to the processor, so that the processor determines that the train preparation fails, and sends all data information generated in the preparation process of the to-be-prepared device to the display device on the train, so as to facilitate the staff to check and process. Based on this, by judging whether N preparation information has preparation information indicating that the preparation fails, the accuracy of the train preparation can be ensured.

[0067] As a preferred embodiment, it further comprises:

[0068] If not, the preparation state of the train is determined according to the combination of M preparation information, M is an integer not less than 2 and not greater than N.

[0069] In order to improve the accuracy of the train preparation, in the present application, in addition to judging the preparation information of each to-be-prepared device separately, the preparation state of the train is also determined according to the combination of multiple preparation information. Specifically, in the actual working scene, although all the preparation of the to-be-prepared devices on the train is successfully completed, the train still fails in the subsequent running process. This may be because the mutual influence between multiple devices causes the train to fail. Therefore, in addition to judging whether each preparation information deviates from the normal parameter range, the preparation state of the train is also determined according to the specific parameters of multiple preparation information and the relationship between these preparation information. Based on this, the fault chain of the train can be determined in advance according to the parameters of each device of the train when the train actually fails. The fault chain indicates that when the parameters of some devices of the train are at which normal values, the train will fail. In actual application, if the preparation information of M to-be-prepared devices is detected to be located on the same fault chain, it can be indicated that the train preparation fails. Based on this, the preparation state of the train is determined according to the combination of M preparation information, which can improve the accuracy of the train preparation.

[0070] As a preferred embodiment, judging whether the driver information is correct driver information comprises:

[0071] judging whether the driver information exists in the preset driver information library;

[0072] if yes, determining that the driver information is correct driver information;

[0073] If not, the driver information is determined as incorrect.

[0074] In order to accurately determine the driver information, in the present application, it is considered that not all staff can perform the preparation task, and it is also considered that some non-staff need to be prevented from performing illegal operations on the train equipment, for example, non-staff sends incorrect driver information to the on-board EOAS system in the ground attendance system, causing all equipment on the train to use the incorrect driver information to perform subsequent steps, therefore, only a part of staff with higher authority and staff specially responsible for the preparation task are required to set the driver information as valid driver information. Based on this, the valid driver information is stored in the preset driver information library in advance, when receiving the driver information sent by the on-board EOAD system, whether the driver information is correct is determined by judging whether the driver information exists in the preset driver information library.

[0075] As a preferred embodiment, after determining the preparation state of the train according to the N preparation information, it further comprises:

[0076] If the preparation state of the train is a preparation failure state, a prompt information is generated;

[0077] The prompt information is sent to the prompt module, so that the prompt module issues a prompt.

[0078] In order to timely prompt the staff, in the present application, after detecting the preparation failure of the train, the prompt module can also be controlled to issue a prompt to prompt the staff. Specifically, the prompt module can be any device connected to the processor which can issue a sound or a light, according to the type of the prompt module, different types and different details of prompt information are generated and sent to the prompt module, when the prompt module is a device which can only issue a sound but cannot issue a light, a signal for controlling the sound can be generated and sent to the prompt module, so that the prompt module issues a sound which can indicate the preparation failure of the train. For the specific prompt module, it can be a display screen in the cab, a train broadcast or a staff's mobile phone connected to the processor through WiFi, etc., which are not limited in the present application.

[0079] As a preferred embodiment,

[0080] Before controlling the N to-be-prepared devices to perform the N to-be-prepared devices' corresponding preset preparation tasks, it further comprises:

[0081] Controlling the N to-be-prepared devices to perform the N to-be-prepared devices' corresponding preset self-check tasks;

[0082] Determining the self-check state of the N to-be-prepared devices after performing the preset self-check tasks, the self-check state comprises a self-check success state and a self-check failure state;

[0083] determining whether the N self-checking states are all self-checking success states;

[0084] If yes, entering a step of controlling the N standby devices to perform preset preparation tasks corresponding to the N standby devices.

[0085] To ensure train safety, in the present application, considering that the standby devices on the train can have some problems such as logical errors and faults irrelevant to preparation, when the standby devices have these problems, although they can successfully complete the preparation process, in the subsequent actual operation of the train, the train operation can be affected due to these logical errors or faults of the standby devices. Therefore, before preparation, it is necessary to first check whether each standby device is completely normal. Specifically, different preset self-checking tasks can be set according to the specific models of each standby device, and each preset self-checking task of each standby device includes the testing and detection of all functions of the standby device. In actual application, after the processor determines that the obtained driver information is correct, the processor first controls all standby devices to perform the preset self-checking tasks corresponding to the standby devices, and simultaneously monitors whether the self-checking processes of the standby devices are error-free in real time. If the self-checking processes of the standby devices are error-free throughout and the final self-checking result is success, it indicates that the standby devices are completely normal, and the subsequent train preparation process is entered. Otherwise, it indicates that there is an abnormal standby device, and the information of the abnormal standby device can be sent to the display screen of the train to prompt the staff. Based on this, self-checking is performed before device preparation, which can ensure train safety.

[0086] Please refer to Figure 3 , Figure 3 A structure diagram of a train automatic preparation device provided by the present application, comprising:

[0087] The memory 21 is used for storing a computer program.

[0088] The controller 22 is used for implementing the steps of the train automatic preparation method as described above when executing the computer program.

[0089] For a detailed introduction of the train automatic preparation device provided by the present application, please refer to the above-mentioned embodiments of the train automatic preparation method, which will not be described here again.

[0090] Please refer to Figure 4 , Figure 4 A structure diagram of a train automatic preparation system provided by the present application, applied to a processor in a train, the train further comprising a driver information device and N standby devices, the driver information device being connected with a ground attendance system, N being a positive integer, the train automatic preparation system comprising:

[0091] The driver information judging unit 31 is configured to judge whether the driver information is correct driver information after the driver information device sends the driver information sent by the ground attendance system to the processor and the N to-be-prepared devices respectively, and trigger the preparing unit 32 if the driver information is correct driver information.

[0092] The preparing unit 32 is configured to control the N to-be-prepared devices to perform the preset preparing tasks corresponding to the N to-be-prepared devices respectively.

[0093] The preparing information obtaining unit 33 is configured to obtain preparing information generated by the N to-be-prepared devices performing the preset preparing tasks.

[0094] The preparing state determining unit 34 is configured to determine the preparing state of the train according to the N preparing information, and the preparing state includes a preparing success state and a preparing failure state.

[0095] For the detailed introduction of the train automatic preparing system provided in the present application, please refer to the embodiments of the train automatic preparing method, which will not be repeated here.

[0096] Based on the above embodiments, the present application further provides:

[0097] As a preferred embodiment, the present application further provides:

[0098] The first judging unit is configured to judge whether the driver information received by the processor and the driver information received by the N to-be-prepared devices are consistent before controlling the N to-be-prepared devices to perform the preset preparing tasks corresponding to the N to-be-prepared devices respectively, and trigger the preparing unit 32 if the driver information is consistent, otherwise,

[0099] trigger the judging error unit.

[0100] The judging error unit is configured to judge that the driver information is not correct driver information.

[0101] As a preferred embodiment, the preparing state determining unit 34 includes:

[0102] The second judging unit is configured to judge whether there is preparing information indicating preparing failure in the N preparing information, and trigger the judging failure unit if there is.

[0103] The judging failure unit is configured to determine that the preparing of the train is in the preparing failure state.

[0104] As a preferred embodiment, the present application further provides:

[0105] The second preparing unit is configured to determine the preparing state of the train according to the combination of the M preparing information when the second judging unit judges that there is no preparing information indicating preparing failure, and M is an integer not less than 2 and not more than N.

[0106] As a preferred embodiment, the driver information judging unit 31 is specifically configured to:

[0107] determine whether the driver information exists in the preset driver information library;

[0108] if yes, determine that the driver information is correct driver information;

[0109] if no, determine that the driver information is incorrect driver information.

[0110] As a preferred embodiment, the method further comprises:

[0111] generating a prompt information if the preparation state of the train is a preparation failure state after determining the preparation state of the train according to the N pieces of preparation information;

[0112] sending the prompt information to the prompt module so that the prompt module gives a prompt.

[0113] As a preferred embodiment, the method further comprises:

[0114] controlling the N pieces of preparation equipment to perform a preset self-check task corresponding to the N pieces of preparation equipment before controlling the N pieces of preparation equipment to perform a preset preparation task corresponding to the N pieces of preparation equipment;

[0115] determining a self-check state of the N pieces of preparation equipment after performing the preset self-check task, the self-check state comprising a self-check success state and a self-check failure state;

[0116] judging whether the N self-check states are all self-check success states; if yes, triggering the preparation unit 32.

[0117] The application further provides a computer readable storage medium, characterized in that the computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the train automatic preparation method.

[0118] For the detailed description of the computer readable storage medium provided by the application, please refer to the above-mentioned embodiments of the train automatic preparation method, which will not be described here.

[0119] In the specification, each embodiment is described in a progressive manner, and each embodiment focuses on the difference from other embodiments. The same or similar parts of each embodiment can be referred to each other. For the device disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple, and the related parts can be referred to the method part.

[0120] It is also noted that, in this disclosure, relational terms such as first and second, and the like, can be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by "comprises... a" does not, without more constraints, exclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0121] The above description of disclosed embodiments provides enabling concepts for practicing or using the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and generic principles defined herein can be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended 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 automatic train maintenance, characterized in that, A processor is used in the train, which also includes a driver information device and N devices to be maintained. The driver information device is connected to a ground attendance system, where N is a positive integer. The automatic train maintenance method includes: After the driver information device sends the driver information sent by the ground attendance system to the processor and N devices to be prepared, it determines whether the driver information is correct. If the driver information is correct, then control N devices to be refurbished to perform the preset refurbishment tasks corresponding to the N devices themselves; Obtain the maintenance information generated by executing the preset maintenance task for N devices to be maintained; The preparation status of the train is determined based on N pieces of preparation information, and the preparation status includes a successful preparation status and a failed preparation status. Before controlling the N devices to be serviced to execute the preset servicing tasks corresponding to the N devices themselves, the process also includes: Determine whether the driver information received by the processor itself is consistent with the driver information received by the N devices to be prepared; If all are consistent, then proceed to the step of controlling N devices to be prepared to execute the N preset preparation tasks corresponding to the devices to be prepared themselves; Otherwise, the driver information is determined to be incorrect.

2. The automatic train preparation method as described in claim 1, characterized in that, The preparation status of the train is determined based on N pieces of preparation information, including: Determine whether any of the N pieces of maintenance information indicates a maintenance failure; If it exists, then the maintenance equipment of the train is determined to be in a maintenance failure state.

3. The automatic train preparation method as described in claim 2, characterized in that, Also includes: If it does not exist, the preparation status of the train is determined based on the combination of M pieces of preparation information, where M is an integer not less than 2 and not greater than N.

4. The automatic train maintenance method as described in claim 1, characterized in that, Determining whether the driver information is correct includes: Determine whether the driver information exists in a preset driver information database; If so, then the driver information is considered correct; If not, then the driver information is considered incorrect.

5. The automatic train preparation method as described in claim 1, characterized in that, After determining the train's readiness status based on the N readiness information points, the process further includes: If the train's preparation status is in a preparation failure state, a prompt message will be generated; The prompt information is sent to the prompting module so that the prompting module can issue a prompt.

6. The automatic train maintenance method according to any one of claims 1 to 5, characterized in that, Before controlling the N devices to be serviced to execute the preset servicing tasks corresponding to the N devices themselves, the process also includes: Control N devices to be rectified to perform N preset self-test tasks corresponding to the devices themselves; Determine the self-test status of N devices to be prepared after performing the preset self-test task, the self-test status includes self-test success status and self-test failure status; Determine whether all N self-test states are successful self-test states; If so, then proceed to the step of controlling N devices to be refurbished to execute the preset refurbishment tasks corresponding to the N devices themselves.

7. An automatic train maintenance device, characterized in that, include: Memory, used to store computer programs; A controller is used to implement the steps of the automatic train preparation method as described in any one of claims 1 to 6 when executing the computer program.

8. An automatic train maintenance system, characterized in that, A processor is used in the train. The train also includes a driver information device and N devices to be maintained. The driver information device is connected to a ground attendance system, where N is a positive integer. The automatic train maintenance system includes: The driver information judgment unit is used to determine whether the driver information is correct after the driver information device sends the driver information sent by the ground attendance system to the processor and N devices to be prepared; if it is correct, the preparation unit is triggered. The maintenance unit is used to control N devices to be maintained to perform N preset maintenance tasks corresponding to the devices themselves. A maintenance information acquisition unit is used to acquire maintenance information generated by the N devices to be maintained performing the preset maintenance task. A preparation status determination unit is used to determine the preparation status of the train based on N pieces of preparation information, wherein the preparation status includes a successful preparation status and a failed preparation status. Also includes: The first judgment unit is used to determine whether the driver information received by the processor itself is consistent with the driver information received by the N devices to be rectified before controlling the N devices to be rectified to execute the preset rectification tasks corresponding to the N devices to be rectified. If they are consistent, the rectification unit is triggered; otherwise, the error judgment unit is triggered. The error determination unit is used to determine that the driver information is not correct driver information.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the automatic train preparation method as described in any one of claims 1 to 6.

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