ATO system fault recovery method and device and storage medium
Patent Information
- Application Number
- CN202410972359.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-19
- Publication Date
- 2024-12-10
AI Technical Summary
The existing ATO system is inefficient in fault handling and lacks a complete fault monitoring and recording mechanism, which makes it difficult to diagnose and handle faults and cannot meet the demand for high-reliability operation of urban rail transit.
Using a pre-trained fault diagnosis model, real-time data analysis is performed based on the standard fault model library, combined with Bayesian network and pattern recognition technology for fault diagnosis, and automatic switching and recovery is achieved through redundant backups at the hardware and software levels, improving fault processing efficiency .
It realizes intelligent diagnosis and rapid recovery of ATO system faults, shortens diagnosis time, improves fault handling efficiency, and ensures high reliability operation of the system.
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Figure CN119105891A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of artificial intelligence technology, and in particular to an ATO system fault recovery method, device and storage medium. Background Art
[0002] At present, when a train fails, the existing system usually requires manual fault analysis and diagnosis, and then performs switching or disposal operations according to the operation and maintenance manual. Manual judgment and manual operation are the main ways to handle faults. In addition, many automatic train operation (ATO) systems have not established a complete fault monitoring and recording mechanism, and key data is difficult to save and document, making it difficult to trace the root cause of the fault afterwards.
[0003] Existing fault handling practices have obvious deficiencies in terms of architecture, intelligence, automation, optimization and data recording, and are unable to meet the urgent needs of today's urban rail transit for high-reliability ATO operation. Summary of the invention
[0004] The present invention provides an ATO system fault recovery method, device and storage medium, which are used to solve the technical problem of low efficiency in handling ATO system faults in the prior art.
[0005] The present invention provides an ATO system fault recovery method, comprising the following steps.
[0006] Get real-time ATO system data; Inputting the ATO system data into a pre-trained fault diagnosis model to obtain a fault diagnosis result output by the fault diagnosis model, wherein the fault diagnosis model is trained based on a standard fault model library; The fault recovery of the ATO system is performed based on the fault diagnosis result.
[0007] In some embodiments, the training step of the fault diagnosis model includes: Constructing the standard fault model library based on the corresponding relationship between fault type and fault mode; Inputting the standard fault model library into the fault diagnosis model, obtaining the target fault mode based on the Bayesian network, and obtaining the target fault type based on the pattern recognition technology; Establishing a target corresponding relationship between the target fault type and the target fault mode; The target corresponding relationship is compared with the corresponding relationship in the standard fault model library to train the fault diagnosis model.
[0008] In some embodiments, the method further comprises: Establish redundant backup at the hardware level and algorithm redundancy at the software level.
[0009] In some embodiments, the performing fault recovery of the ATO system based on the fault diagnosis result includes: When the fault diagnosis result is a first type of fault result, determining a fault occurrence location; Preheating the corresponding backup system based on the fault occurrence location; After the backup system is preheated, the failed system is switched to the backup system.
[0010] In some embodiments, the performing fault recovery of the ATO system based on the fault diagnosis result includes: When the fault diagnosis result is a second type of fault result, a fault handling suggestion is generated.
[0011] In some embodiments, the method further comprises: When the fault type is not in the standard fault model library, the fault diagnosis result is a second type fault result.
[0012] The present invention also provides an ATO system fault recovery device, comprising the following modules: A first acquisition module is used to acquire real-time ATO system data; A second acquisition module is used to input the ATO system data into a pre-trained fault diagnosis model to obtain a fault diagnosis result output by the fault diagnosis model, wherein the fault diagnosis model is obtained by training based on a standard fault model library; The first processing module is used to perform fault recovery of the ATO system based on the fault diagnosis result.
[0013] In some embodiments, the second acquisition module includes: A first construction submodule is used to construct the standard fault model library based on the correspondence between the fault type and the fault mode; A first acquisition submodule is used to input the standard fault model library into the fault diagnosis model, obtain the target fault mode based on the Bayesian network, and obtain the target fault type based on the pattern recognition technology; A first establishing submodule is used to establish a target corresponding relationship between the target fault type and the target fault mode; The first comparison submodule is used to compare the target corresponding relationship with the corresponding relationship in the standard fault model library to train the fault diagnosis model.
[0014] In some embodiments, the ATO system fault recovery device further includes: The first establishment module is used to establish redundant backup at the hardware level and algorithm redundancy at the software level.
[0015] In some embodiments, the first processing module includes: A first determination submodule, used to determine the fault location when the fault diagnosis result is a first type of fault result; A first processing submodule, configured to preheat a corresponding backup system based on the fault occurrence location; The first switching submodule is used to switch the failed system to the backup system after the backup system is preheated.
[0016] In some embodiments, the first processing module includes: The first generating submodule is used to generate a fault handling suggestion when the fault diagnosis result is a second type of fault result.
[0017] In some embodiments, the first processing module further includes: When the fault type is not in the standard fault model library, the fault diagnosis result is a second type fault result.
[0018] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any of the above-mentioned ATO system fault recovery methods is implemented.
[0019] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the ATO system fault recovery method described in any one of the above is implemented.
[0020] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the ATO system failure recovery method described above is implemented.
[0021] The ATO system fault recovery method, device and storage medium provided by the present invention can obtain fault diagnosis results according to real-time ATO system data through a pre-trained fault diagnosis model, and then perform fault recovery of the ATO system according to the fault diagnosis results. It can intelligently diagnose and identify faults, shorten diagnosis time, and improve response speed, thereby improving the efficiency of ATO system fault handling. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0023] Figure 1 It is a flow chart of the ATO system fault recovery method provided by the present invention.
[0024] Figure 2 It is a structural schematic diagram of the ATO system fault recovery device provided by the present invention.
[0025] Figure 3 It is a schematic diagram of the physical structure of the electronic device provided by the present invention. DETAILED DESCRIPTION
[0026] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0027] Figure 1 FIG. 1 is a flow chart of the ATO system fault recovery method provided by the present invention, such as Figure 1 As shown, the method includes the following: Step 101: Obtain real-time ATO system data.
[0028] Step 102: input the ATO system data into a pre-trained fault diagnosis model to obtain a fault diagnosis result output by the fault diagnosis model, wherein the fault diagnosis model is trained based on a standard fault model library.
[0029] Step 103: Perform fault recovery of the ATO system based on the fault diagnosis result.
[0030] Specifically, in order to overcome the deficiencies of the existing ATO system in fault handling, solve the high-reliability operation requirements of the ATO system as a key infrastructure, and achieve the purpose of improving the overall operational safety and operation and maintenance efficiency of the ATO system, the present invention proposes technical solutions such as multi-level fault-tolerant backup, intelligent diagnosis and decision-making, and automated switching and recovery, aiming to comprehensively enhance the system's fault handling capabilities, ensure high-reliability operation, improve operation and maintenance efficiency, and safeguard the safe operation of urban rail transit.
[0031] First, real-time ATO system data can be obtained, which may include images, text data, etc.
[0032] The real-time ATO system data is then input into the pre-trained fault diagnosis model to obtain the output fault diagnosis results. The fault diagnosis model is trained based on the standard fault model library. The model uses Bayesian networks and pattern recognition technology to diagnose fault types and patterns, establish a mapping relationship between the two, verify and correct each other, and ultimately give accurate fault diagnosis results, which may include fault type judgment and root cause analysis results.
[0033] Finally, automatic switching and recovery are performed based on the fault diagnosis results.
[0034] The ATO system fault recovery method provided by the present invention can obtain fault diagnosis results according to real-time ATO system data through a pre-trained fault diagnosis model, and then perform fault recovery of the ATO system according to the fault diagnosis results. It can intelligently diagnose and identify faults, shorten diagnosis time, and improve response speed, thereby improving the efficiency of ATO system fault handling.
[0035] In some embodiments, the training step of the fault diagnosis model includes: Constructing the standard fault model library based on the corresponding relationship between fault type and fault mode; Inputting the standard fault model library into the fault diagnosis model, obtaining the target fault mode based on the Bayesian network, and obtaining the target fault type based on the pattern recognition technology; Establishing a target corresponding relationship between the target fault type and the target fault mode; The target corresponding relationship is compared with the corresponding relationship in the standard fault model library to train the fault diagnosis model.
[0036] Specifically, the training of the fault diagnosis model requires the use of a standard fault model library, which contains possible fault models of various subsystems and components of the ATO system, as shown in Table 1.
[0037] Table 1. Fault models included in the standard fault model library
[0038] The fault diagnosis model is supervisedly trained according to the standard fault model library, and the target correspondence between the target fault type and target fault mode output by the model is compared with the corresponding relationship in the standard fault model library, which is verified and corrected to determine the parameters to obtain the trained fault diagnosis model.
[0039] It is worth mentioning that the standard fault model library can be continuously expanded and optimized by collecting new fault cases. Through case learning, preliminary processing suggestions can be automatically generated when new fault types are discovered.
[0040] The ATO system fault recovery method provided by the present invention can train the fault diagnosis model through the standard fault model library, thereby significantly improving the accuracy and timeliness of fault diagnosis, and can intelligently diagnose and identify faults. The fusion algorithm shortens the diagnosis time and greatly improves the response speed.
[0041] In some embodiments, the method further comprises: Establish redundant backup at the hardware level and algorithm redundancy at the software level.
[0042] Specifically, in order to meet the high-reliability operation requirements of the ATO system as a critical infrastructure, a multi-level redundant backup system can be constructed.
[0043] On the one hand, redundant backup is carried out at the hardware level, and all board devices such as the main control board, recording board, communication board, network board, etc. are equipped with a primary backup system.
[0044] On the other hand, algorithm redundancy is carried out at the software level, and multiple sets of driving control algorithms are run in parallel. The input data of the algorithm is copied, calculated separately in different threads, and multiple sets of control outputs are generated and supervised and compared to serve as redundant backups for each other.
[0045] The ATO system fault recovery method provided by the present invention can improve the system's fault tolerance to various hardware and software faults by establishing system backups at the hardware and software levels, avoid single point failures causing system paralysis, and automatically, quickly and smoothly switch to the backup system when a failure occurs, ensuring continuous and reliable operation of the system.
[0046] In some embodiments, the performing fault recovery of the ATO system based on the fault diagnosis result includes: When the fault diagnosis result is a first type of fault result, determining a fault occurrence location; Preheating the corresponding backup system based on the fault occurrence location; After the backup system is preheated, the failed system is switched to the backup system.
[0047] Specifically, the present invention adopts a human-machine hybrid intelligent operation mode, and automatically switches to recovery when it is judged that the fault is minor, that is, the fault diagnosis result is a first type of fault result, without the need for human intervention.
[0048] It is worth mentioning that the backup system needs to be preheated before switching, and then the switch can be performed after the backup system is preheated to ensure operation continuity.
[0049] Furthermore, after the switch is completed, the system can perform self-checking to ensure the reliable operation of the rebuilt system.
[0050] The ATO system fault recovery method provided by the present invention greatly improves the automation and intelligence level of fault processing, and realizes fully automated processing of minor faults; by introducing a human-machine collaboration mode, major faults can obtain intelligent auxiliary decision-making, and the improvement of the degree of automation can reduce the risk of human operation.
[0051] In some embodiments, the performing fault recovery of the ATO system based on the fault diagnosis result includes: When the fault diagnosis result is a second type of fault result, a fault handling suggestion is generated.
[0052] Specifically, the present invention adopts a human-machine hybrid intelligent operation mode. When it is judged that the fault is serious, that is, the fault diagnosis result is a second-class fault result, the system gives suggestions for manual confirmation, which are executed after manual confirmation.
[0053] The ATO system fault recovery method provided by the present invention greatly improves the automation and intelligence level of fault processing, and realizes fully automated processing of minor faults; by introducing a human-machine collaboration mode, major faults can obtain intelligent auxiliary decision-making, and the improvement of the degree of automation can reduce the risk of human operation.
[0054] In some embodiments, the method further comprises: When the fault type is not in the standard fault model library, the fault diagnosis result is a second type fault result.
[0055] Specifically, the second type of fault results includes not only the case where the fault is serious, but also the case where the fault type is not in the standard fault model library.
[0056] If it is determined that the current fault type is not in the standard fault model library, the second type of fault result is output and preliminary disposal suggestions are automatically generated.
[0057] The ATO system fault recovery method provided by the present invention greatly improves the automation and intelligence level of fault processing, and realizes fully automated processing of minor faults; by introducing a human-machine collaboration mode, major faults can obtain intelligent auxiliary decision-making, and the improvement of the degree of automation can reduce the risk of human operation.
[0058] Figure 2 Schematic diagram of the structure of the ATO system fault recovery device provided by the present invention. Figure 2 As shown, the ATO system fault recovery device provided by the present invention includes a first acquisition module 201, a second acquisition module 202, and a first processing module 203, wherein: The first acquisition module 201 is used to acquire real-time ATO system data; A second acquisition module 202 is used to input the ATO system data into a pre-trained fault diagnosis model to obtain a fault diagnosis result output by the fault diagnosis model, wherein the fault diagnosis model is obtained by training based on a standard fault model library; The first processing module 203 is used to perform fault recovery of the ATO system based on the fault diagnosis result.
[0059] In some embodiments, the second acquisition module includes: A first construction submodule is used to construct the standard fault model library based on the correspondence between the fault type and the fault mode; A first acquisition submodule is used to input the standard fault model library into the fault diagnosis model, obtain the target fault mode based on the Bayesian network, and obtain the target fault type based on the pattern recognition technology; A first establishing submodule is used to establish a target corresponding relationship between the target fault type and the target fault mode; The first comparison submodule is used to compare the target corresponding relationship with the corresponding relationship in the standard fault model library to train the fault diagnosis model.
[0060] In some embodiments, the ATO system fault recovery device further includes: The first establishment module is used to establish redundant backup at the hardware level and algorithm redundancy at the software level.
[0061] In some embodiments, the first processing module includes: A first determination submodule, used to determine the fault location when the fault diagnosis result is a first type of fault result; A first processing submodule, configured to preheat a corresponding backup system based on the fault occurrence location; The first switching submodule is used to switch the failed system to the backup system after the backup system is preheated.
[0062] In some embodiments, the first processing module includes: The first generating submodule is used to generate a fault handling suggestion when the fault diagnosis result is a second type of fault result.
[0063] In some embodiments, the first processing module further includes: When the fault type is not in the standard fault model library, the fault diagnosis result is a second type fault result.
[0064] Specifically, the above-mentioned ATO system fault recovery device provided in the embodiment of the present application can implement all the method steps implemented in the above-mentioned ATO system fault recovery method embodiment, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as those of the method embodiment will not be described in detail here.
[0065] Figure 3 is a schematic diagram of the physical structure of the electronic device provided by the present invention, such as Figure 3 As shown, the electronic device may include: a processor 310, a communications interface 320, a memory 330 and a communication bus 340, wherein the processor 310, the communications interface 320 and the memory 330 communicate with each other through the communication bus 340. The processor 310 may call the logic instructions in the memory 330 to execute the ATO system fault recovery method, which includes: Get real-time ATO system data; Inputting the ATO system data into a pre-trained fault diagnosis model to obtain a fault diagnosis result output by the fault diagnosis model, wherein the fault diagnosis model is trained based on a standard fault model library; The fault recovery of the ATO system is performed based on the fault diagnosis result.
[0066] In addition, the logic instructions in the above-mentioned memory 330 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.
[0067] In some embodiments, the training step of the fault diagnosis model includes: Constructing the standard fault model library based on the corresponding relationship between fault type and fault mode; Inputting the standard fault model library into the fault diagnosis model, obtaining the target fault mode based on the Bayesian network, and obtaining the target fault type based on the pattern recognition technology; Establishing a target corresponding relationship between the target fault type and the target fault mode; The target corresponding relationship is compared with the corresponding relationship in the standard fault model library to train the fault diagnosis model.
[0068] In some embodiments, the method further comprises: Establish redundant backup at the hardware level and algorithm redundancy at the software level.
[0069] In some embodiments, the performing fault recovery of the ATO system based on the fault diagnosis result includes: When the fault diagnosis result is a first type of fault result, determining a fault occurrence location; Preheating the corresponding backup system based on the fault occurrence location; After the backup system is preheated, the failed system is switched to the backup system.
[0070] In some embodiments, the performing fault recovery of the ATO system based on the fault diagnosis result includes: When the fault diagnosis result is a second type of fault result, a fault handling suggestion is generated.
[0071] In some embodiments, the method further comprises: When the fault type is not in the standard fault model library, the fault diagnosis result is a second type fault result.
[0072] Specifically, the above-mentioned electronic device provided in the embodiment of the present application can implement all the method steps implemented by the method embodiment in which the execution subject is the electronic device, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.
[0073] On the other hand, the present invention further provides a computer program product, the computer program product includes a computer program, the computer program can be stored on a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute the ATO system fault recovery method provided by the above methods, the method includes: Get real-time ATO system data; Inputting the ATO system data into a pre-trained fault diagnosis model to obtain a fault diagnosis result output by the fault diagnosis model, wherein the fault diagnosis model is trained based on a standard fault model library; The fault recovery of the ATO system is performed based on the fault diagnosis result.
[0074] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the ATO system fault recovery method provided by the above methods is implemented, and the method includes: Get real-time ATO system data; Inputting the ATO system data into a pre-trained fault diagnosis model to obtain a fault diagnosis result output by the fault diagnosis model, wherein the fault diagnosis model is trained based on a standard fault model library; The fault recovery of the ATO system is performed based on the fault diagnosis result.
[0075] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.
[0076] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.
[0077] It should also be noted that the terms "first", "second", etc. in the embodiments of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first" and "second" are generally of the same type, and the number of objects is not limited. For example, the first object can be one or more.
[0078] In the embodiments of the present application, the term "and / or" describes the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects before and after are in an "or" relationship.
[0079] In the embodiments of the present application, the term "plurality" refers to two or more than two, and other quantifiers are similar.
[0080] In this application, "determine B based on A" means that the factor A should be considered when determining B. It is not limited to "B can be determined based on A alone", but should also include: "determine B based on A and C", "determine B based on A, C and E", "determine C based on A, and further determine B based on C", etc. In addition, it can also include taking A as a condition for determining B, for example, "when A meets the first condition, use the first method to determine B"; for example, "when A meets the second condition, determine B", etc.; for example, "when A meets the third condition, determine B based on the first parameter", etc. Of course, it can also be a condition that takes A as a factor for determining B, for example, "when A meets the first condition, use the first method to determine C, and further determine B based on C", etc.
[0081] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method for recovering from a fault in an automatic train operation (ATO) system. It is characterized in that include: Get real-time ATO system data; Inputting the ATO system data into a pre-trained fault diagnosis model to obtain a fault diagnosis result output by the fault diagnosis model, wherein the fault diagnosis model is trained based on a standard fault model library; The fault recovery of the ATO system is performed based on the fault diagnosis result.
2. The ATO system fault recovery method according to claim 1, It is characterized in that The training steps of the fault diagnosis model include: Constructing the standard fault model library based on the corresponding relationship between fault type and fault mode; Inputting the standard fault model library into the fault diagnosis model, obtaining the target fault mode based on the Bayesian network, and obtaining the target fault type based on the pattern recognition technology; Establishing a target corresponding relationship between the target fault type and the target fault mode; The target corresponding relationship is compared with the corresponding relationship in the standard fault model library to train the fault diagnosis model.
3. The ATO system failure recovery method according to claim 1, It is characterized in that The method further comprises: Establish redundant backup at the hardware level and algorithm redundancy at the software level.
4. The ATO system failure recovery method according to claim 1, It is characterized in that The performing fault recovery of the ATO system based on the fault diagnosis result includes: When the fault diagnosis result is a first type of fault result, determining a fault occurrence location; Preheating the corresponding backup system based on the fault occurrence location; After the backup system is preheated, the failed system is switched to the backup system.
5. The ATO system failure recovery method according to claim 1, It is characterized in that The performing fault recovery of the ATO system based on the fault diagnosis result includes: When the fault diagnosis result is a second type of fault result, a fault handling suggestion is generated.
6. The ATO system failure recovery method according to claim 5, It is characterized in that The method further comprises: When the fault type is not in the standard fault model library, the fault diagnosis result is a second type fault result.
7. A train automatic operation ATO system fault recovery device, It is characterized in that include: A first acquisition module is used to acquire real-time ATO system data; A second acquisition module is used to input the ATO system data into a pre-trained fault diagnosis model to obtain a fault diagnosis result output by the fault diagnosis model, wherein the fault diagnosis model is obtained by training based on a standard fault model library; The first processing module is used to perform fault recovery of the ATO system based on the fault diagnosis result.
8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, It is characterized in that When the processor executes the program, the ATO system failure recovery method according to any one of claims 1 to 6 is implemented.
9. A non-transitory computer-readable storage medium having a computer program stored thereon, It is characterized in that When the computer program is executed by a processor, the ATO system failure recovery method according to any one of claims 1 to 6 is implemented.
10. A computer program product comprising a computer program, It is characterized in that When the computer program is executed by a processor, the ATO system failure recovery method according to any one of claims 1 to 6 is implemented.