Vehicle storage system problem analysis method, storage medium and electronic equipment
The pre-trained fault problem analysis model receives the fault detection report, determines the root cause and solution of the fault in the on-board storage system, and solves the problems of low efficiency and low accuracy in the existing technology, achieving efficient and accurate fault handling.
Patent Information
- Application Number
- CN202510354965.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-25
- Publication Date
- 2025-06-27
AI Technical Summary
In the prior art, the problem analysis efficiency and accuracy of on-board storage systems are low, making it difficult to quickly and accurately locate and resolve faults.
By receiving the fault detection report sent by the on-board terminal, input it into the pre-trained fault problem analysis model, determine the root cause of the fault, and determine the solution based on the root cause. The model provides accurate failure analysis and solutions through large-scale network training, combining historical operation logs and fault types.
It can accurately and efficiently determine the root cause and solution of on-board storage system failure without manual troubleshooting, and improve the efficiency and accuracy of fault analysis.
Smart Images
Figure CN120216245A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of vehicle storage performance analysis, and particularly relates to a method for analyzing problems of a vehicle storage system, a storage medium, and an electronic device. Background Art
[0002] With the continuous development of intelligent vehicle technology, the importance of in-vehicle storage systems in vehicles has become increasingly prominent. An automobile is no longer just a means of transportation, but has evolved into a comprehensive platform integrating Internet services, big data processing, and artificial intelligence technology. In-vehicle infotainment systems, advanced driver assistance systems (ADAS), and even autonomous driving technology have put forward unprecedented high requirements for data processing speed and storage capacity. The complexity of in-vehicle storage systems is constantly increasing, resulting in an increase in the frequency and complexity of problems.
[0003] Traditional methods for analyzing problems of storage systems mainly rely on the experience of developers and manual troubleshooting. This method is inefficient and difficult to quickly and accurately locate problems. Summary of the Invention
[0004] The present application provides a method for analyzing problems of a vehicle storage system, a storage medium, and an electronic device, which are used to solve the problems of low efficiency and low accuracy in analyzing problems of the storage system in the prior art.
[0005] In a first aspect, the present application provides a method for analyzing problems of a vehicle storage system, which is applied to a server and includes:
[0006] Receiving a fault detection report sent by an in-vehicle terminal when a fault occurs in the operation of the in-vehicle storage system, where the fault detection report includes the operation log of the software of the in-vehicle storage system and the fault type;
[0007] Inputting the operation log of the software of the in-vehicle storage system and the fault type into a pre-trained fault problem analysis model to determine the root cause of the fault;
[0008] Using the fault problem analysis model, according to the root cause of the fault, determining a solution to the fault of the in-vehicle storage system. The fault problem analysis model is obtained by training multiple training samples input into a large model network. Each training sample includes the operation log of the software of the historical in-vehicle storage system, the historical fault type, and the corresponding root cause of the historical fault and the historical fault solution;
[0009] Sending a fault problem analysis report to the in-vehicle terminal according to the root cause of the fault and the solution to the fault of the in-vehicle storage system.
[0010] In some embodiments, the operation log of the software of the vehicle-mounted storage system includes the recorded operation steps executed during the operation of the software of the vehicle-mounted storage system, the software parameters of the software of the vehicle-mounted storage system, the hardware parameters of the hardware environment where it is located, and the environmental parameters of the vehicle environment where it is located. The types of root causes that lead to faults include hardware-level types, software-level types, software-hardware compatibility-level types, and / or vehicle environment types.
[0011] In some embodiments, after receiving the fault detection report, the method provided by the present application further includes:
[0012] According to the operation log of the software of the vehicle-mounted storage system, a log sequence is obtained. The log sequence includes multiple log records with a time relationship;
[0013] Extract the context relationship between the multiple log records in the log sequence;
[0014] Input the operation log of the software of the vehicle-mounted storage system and the fault type into a pre-trained fault problem analysis model to determine the root cause of the fault, including
[0015] Input the operation log of the software of the vehicle-mounted storage system, the context relationship between multiple log records, and the fault type into a pre-trained fault problem analysis model to determine the root cause of the fault. Each training sample also includes the context relationship between multiple historical log records.
[0016] In some embodiments, after determining the root cause of the fault, the method provided by the present application further includes:
[0017] According to the root cause of the fault, determine whether the fault affects the autonomous driving of the vehicle and generate a determination result;
[0018] According to the root cause of the fault and the solution to the fault of the vehicle-mounted storage system, send a fault problem analysis report to the vehicle terminal, including:
[0019] Send a fault problem analysis report to the vehicle terminal according to the root cause of the fault, the determination result, and the solution to the fault of the vehicle-mounted storage system.
[0020] In some embodiments, after determining the root cause of the fault, the method provided by the present application further includes:
[0021] Receive the score given by the expert terminal for the accuracy of the determined root cause of the fault;
[0022] If the score is lower than the preset standard score, update the network parameters of the fault problem analysis model according to the difference between the score and the preset standard score.
[0023] In some embodiments, the fault is detected by the vehicle-mounted terminal based on the operation log of the software of the vehicle-mounted storage system, or is input by the user on the vehicle-mounted terminal.
[0024] In some embodiments, after receiving the fault detection report, the method provided in this application further includes:
[0025] Perform data cleaning on the operation log of the software of the vehicle-mounted storage system, and perform formatting and normalization processing on the cleaned operation log.
[0026] In a second aspect, this application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the electronic device executes the method provided in the first aspect of this application.
[0027] In a third aspect, this application also provides a storage medium storing a computer program, characterized in that when the computer program is executed by a processor, the computer executes the method provided in the first aspect of this application.
[0028] In a fourth aspect, this application also provides a computer program product, including a computer program, which when run, causes an electronic device to execute the method provided in the first aspect of this application.
[0029] This application provides a method, a storage medium, and an electronic device for analyzing problems in a vehicle storage system. The operation log of the software of the vehicle-mounted storage system and the fault type can be input into a pre-trained fault problem analysis model to determine the root cause of the fault. Using the fault problem analysis model, according to the root cause of the fault, a solution to the fault of the vehicle-mounted storage system is determined. Since the fault problem analysis model is obtained by training multiple training samples in a large model network, and each training sample includes the operation log of the software of the historical vehicle-mounted storage system, the historical fault type, the corresponding root cause of the historical fault, and the historical fault solution. In this way, it is possible to accurately and efficiently determine the root cause of the fault and the corresponding solution to the fault of the vehicle-mounted storage system without relying on manual troubleshooting. BRIEF DESCRIPTION OF THE DRAWINGS
[0030] In order to more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of this application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.
[0031] Figure 1 Schematic diagram of the interaction between the in-vehicle terminal and the server provided by the embodiment of the present application;
[0032] Figure 2 Flowchart of the method for analyzing problems in the vehicle storage system provided by the embodiment of the present application;
[0033] Figure 3 Functional module block diagram of the device for analyzing problems in the vehicle storage system provided by the embodiment of the present application. Detailed implementation manners
[0034] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are merely exemplary and are not intended to limit the scope of the present disclosure. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily confusing the concepts of the present disclosure.
[0035] Various structural schematic diagrams according to embodiments of the present disclosure are shown in the accompanying drawings. These figures are not drawn to scale, where for the purpose of clear expression, some details are enlarged and some details may be omitted. The shapes of various regions and layers shown in the figures, as well as their relative sizes and positional relationships, are merely exemplary. In practice, there may be deviations due to manufacturing tolerances or technical limitations, and those skilled in the art can design regions / layers with different shapes, sizes, and relative positions according to actual needs.
[0036] In the context of the present disclosure, when a layer / element is referred to as being "on" another layer / element, the layer / element can be directly on the other layer / element, or there can be an intermediate layer / element between them. Additionally, if a layer / element is "on" another layer / element in one orientation, then when the orientation is reversed, the layer / element can be "under" the other layer / element.
[0037] Technical term explanations of the present application:
[0038] Vehicle storage system: It refers to a system used to store and manage various data and application programs in a vehicle, mainly including memory and storage devices. The vehicle storage system plays a crucial role in intelligent vehicles, supporting the intelligent functions of the vehicle and the operation of the autonomous driving system. It can be used to store multimedia data such as map data, music data, and video data of the infotainment system; high-precision map data and sensor data of the intelligent assisted driving system, and vehicle operation data and driving records of the dashboard and driving recorder. The hardware of the vehicle storage system includes a controller, a solid-state drive (SSD), a universal flash storage (UFS), etc. The controller is used to run the software of the vehicle storage system, for functions such as starting to read and write data, recording data read and write logs, and stopping reading and writing data.
[0039] Next, specific embodiments will be used to elaborate in detail on the technical solution of the present application and how the technical solution of the present application solves the above technical problems. These several specific embodiments below can be combined with each other, and the same or similar concepts or processes may not be elaborated in some embodiments. The embodiments of the present application will be described below with reference to the accompanying drawings.
[0040] An embodiment of the present application provides a method for analyzing problems in a vehicle storage system, which is applied to a server. As Figure 1 shown, the server is communicatively connected to an in-vehicle terminal. Among them, the in-vehicle terminal can be, but is not limited to, an in-vehicle computer ECU (electronic control unit, ECU). As Figure 2 shown, the method provided by the embodiment of the present application includes:
[0041] S201: Receive a fault detection report sent by the in-vehicle terminal when a fault occurs in the operation of the in-vehicle storage system. The fault detection report includes the operation log of the software of the in-vehicle storage system and the fault type.
[0042] The in-vehicle terminal can determine whether a fault has occurred in the operation of the in-vehicle storage system according to the operation log of the software of the in-vehicle storage system. If a fault occurs, the fault type can be determined according to the operation log of the software of the in-vehicle storage system. For example, the fault type can include, but is not limited to, a type in which the read / write rate of the in-vehicle storage system decreases, a software compatibility type, or a software code type. Further, the in-vehicle terminal can input the operation log into a pre-trained fault determination model to determine the fault type. Among them, the fault determination model is obtained by training a neural network with multiple historical operation logs and corresponding fault types input.
[0043] In some other embodiments, the fault can also be input by the user on the in-vehicle terminal. For example, the user inputs faults such as "insufficient storage space" or "slow data storage speed" on the in-vehicle terminal.
[0044] In addition, in some embodiments, data cleaning is performed on the operation log of the software of the in-vehicle storage system, and the cleaned operation log is formatted and normalized. For example, duplicate log records or abnormal data in the log records (such as temperature data of abnormal storage hardware) can be cleaned.
[0045] S202: Input the operation log of the software of the in-vehicle storage system and the fault type into a pre-trained fault problem analysis model to determine the root cause of the fault.
[0046] If the fault type is: the read / write speed of the storage chip decreases, and the determined root cause is: the aging or manufacturing defects of the storage chip at the hardware level, or the logical errors or improper configurations in the software code at the software level, the incompatibility between the new version of the software and the existing hardware, or the high-temperature environment inside the vehicle.
[0047] S203: Use the fault problem analysis model to determine the solution to the fault of the in-vehicle storage system according to the root cause of the fault.
[0048] Among them, the fault problem analysis model is obtained by training multiple training samples in a large model network. Each training sample includes the operation log of the software of the historical in-vehicle storage system, the historical fault type, the corresponding root cause of the historical fault occurrence, and the historical fault solution.
[0049] The operation log of the software of the in-vehicle storage system includes the recorded operation steps executed during the operation of the software of the in-vehicle storage system, the software parameters of the software of the in-vehicle storage system, the hardware parameters of the hardware environment where it is located, and the environmental parameters of the vehicle environment where it is located (such as temperature data or vibration data inside the vehicle). The types of root causes of the fault include hardware level types, software level types, software and hardware compatibility level types, and / or vehicle environment types.
[0050] When the root cause is: the aging or manufacturing defects of the storage chip at the hardware level, the type of the root cause of the fault is the hardware level type, and the solution can be but not limited to "replace the storage chip". When the root cause is: caused by the high-temperature environment inside the vehicle; then the type of the root cause of the fault is the vehicle environment type, and the solution can be "optimize the heat dissipation design of the vehicle". When the root cause is: logical errors or improper configurations in the software code at the software level; then the type of the root cause of the fault is the software level type, and the solution can be: reconfigure the software or repair the software fault. When the root cause is: in the case of incompatibility between the new version of the software and the existing hardware, the type of the root cause of the fault is the software and hardware compatibility level type, and the solution can be: update the software version or replace the hardware. It can be understood that the above methods can analyze the root cause of the historical fault from multiple dimensions and give the corresponding historical fault solution, with high accuracy and reliability.
[0051] In addition, in S203-S204 above, after S202 above, the method provided by the embodiment of the present application further includes:
[0052] Based on the running logs of the software of the in-vehicle storage system, a log sequence is obtained. The log sequence includes multiple log records with time relationships. Extract the context relationships between the multiple log records in the log sequence. Input the running logs of the software of the in-vehicle storage system, the context relationships between the multiple log records, and the fault type into a pre-trained fault problem analysis model to determine the root cause of the fault. Each training sample also includes the context relationships between multiple historical log records. In this way, the root cause of the fault and its corresponding solution can be obtained more accurately.
[0053] S204: Send a fault problem analysis report to the in-vehicle terminal according to the root cause of the fault and the solution to the fault of the in-vehicle storage system.
[0054] Among them, the specific content of the fault problem analysis report can be:
[0055] Introduction: With the development of automotive intelligence, the importance of in-vehicle storage systems has become increasingly prominent. This report aims to analyze software problems of in-vehicle storage systems and propose solutions to improve system performance and reliability.
[0056] Fault problem description: The in-vehicle storage system has a problem of decreased storage performance in the autonomous driving scenario, manifested as a reduction in read and write speeds.
[0057] Root cause of the fault: Through large model analysis, it is found that the problem is due to the combined effect of aging storage chips and high-temperature environment.
[0058] Solution: It is recommended to replace the aging chips and optimize the heat dissipation system.
[0059] Implementation plan: Replace the chips during the next vehicle maintenance and optimize the heat dissipation design in subsequent versions.
[0060] In this way, users can understand the fault problems of the in-vehicle storage system, the root cause of the fault, and the solution according to the fault problem analysis report.
[0061] In some embodiments, after determining the root cause of the fault, the method provided by the embodiments of the present application further includes:
[0062] Step 1: According to the root cause of the fault, determine whether the fault affects the autonomous driving of the vehicle and generate a determination result.
[0063] For example, if some faults (such as the decrease in the read and write rate of music data) only affect specific functions, such as affecting the multimedia playback function, it is determined that they do not affect the autonomous driving of the vehicle; if some faults are related to the autonomous driving of the vehicle (such as abnormal read and write of map data), it is determined that they affect the autonomous driving of the vehicle.
[0064] Furthermore, according to the root cause of the fault occurrence, the determination result, and the solution to the fault of the in-vehicle storage system, a fault problem analysis report is sent to the in-vehicle terminal for the user to view.
[0065] In some embodiments, after the above S202, the method provided by the embodiments of the present application further includes:
[0066] Step A: Receive the score given by the expert terminal for the accuracy of the determined root cause of the fault occurrence.
[0067] Step B: If the score is lower than the preset standard score, update the network parameters of the fault problem analysis model according to the difference between the score and the preset standard score.
[0068] Based on the above Step A - Step B, the fault problem analysis model can be continuously optimized, making the reliability of the subsequent determination of the root cause of the fault occurrence higher.
[0069] In summary, a method for analyzing problems in a vehicle storage system provided by the embodiments of the present application can input the operation logs and fault types of the software of the in-vehicle storage system into a pre-trained fault problem analysis model to determine the root cause of the fault occurrence. Using the fault problem analysis model, according to the root cause of the fault occurrence, a solution to the fault of the in-vehicle storage system is determined. Since the fault problem analysis model is obtained by training multiple training samples in a large model network, and each training sample includes the operation logs and historical fault types of the software of the historical in-vehicle storage system, as well as the corresponding historical root cause of the fault occurrence and historical fault solutions. In this way, it is possible to accurately and efficiently determine the root cause of the fault occurrence and the corresponding solution to the fault of the in-vehicle storage system without relying on manual troubleshooting.
[0070] In addition, the embodiments of the present application also provide a device for analyzing problems in a vehicle storage system, which is applied to a server. It should be noted that the basic principle and the technical effects generated by the device for analyzing problems in a vehicle storage system provided by the embodiments of the present application are the same as those of the above embodiments. For a brief description, for the parts not mentioned in the embodiments of the present application, reference can be made to the corresponding content in the above embodiments. As Figure 3 shown, the device provided by the embodiments of the present application includes a data receiving unit, a fault cause determining unit, a solution determining unit, and a data sending unit, where
[0071] The data receiving unit is configured to receive the fault detection report sent by the in-vehicle terminal when a fault occurs in the operation of the in-vehicle storage system, and the fault detection report includes the operation logs and fault types of the software of the in-vehicle storage system.
[0072] In some embodiments, the device provided by the embodiments of the present application may further include:
[0073] A data preprocessing unit, configured to perform data cleaning on the operation logs of the software of the vehicle-mounted storage system, and perform formatting and normalization processing on the cleaned operation logs.
[0074] In some embodiments, the fault is detected by the vehicle-mounted terminal according to the operation logs of the software of the vehicle-mounted storage system, or is input by the user on the vehicle-mounted terminal.
[0075] A fault cause determination unit, configured to input the operation logs of the software of the vehicle-mounted storage system and the fault type into a pre-trained fault problem analysis model to determine the root cause of the fault.
[0076] A solution determination unit, configured to use the fault problem analysis model to determine a solution to the fault of the vehicle-mounted storage system according to the root cause of the fault.
[0077] The fault problem analysis model is obtained by training multiple training samples in a large model network. Each training sample includes the operation logs of the software of the historical vehicle-mounted storage system and the historical fault type, as well as the corresponding root cause of the historical fault and the historical fault solution.
[0078] A data sending unit, configured to send a fault problem analysis report to the vehicle-mounted terminal according to the root cause of the fault and the solution to the fault of the vehicle-mounted storage system.
[0079] In some embodiments, the operation logs of the software of the vehicle-mounted storage system include the recorded operation steps executed during the operation of the software of the vehicle-mounted storage system, the software parameters of the software of the vehicle-mounted storage system, the hardware parameters of the hardware environment where it is located, and the environmental parameters of the vehicle environment where it is located. The types of the root cause of the fault include hardware-level types, software-level types, software and hardware compatibility-level types, and / or vehicle environment types.
[0080] In some embodiments, the device provided by the embodiments of the present application further includes:
[0081] A log sequence acquisition unit, configured to obtain a log sequence according to the operation logs of the software of the vehicle-mounted storage system. The log sequence includes multiple log records with a time relationship.
[0082] An association extraction unit, configured to extract the context relationship between multiple log records in the log sequence.
[0083] A fault cause determination unit, specifically configured to input the operation log of the software of the vehicle-mounted storage system, the context relationship between multiple log records, and the fault type into a pre-trained fault problem analysis model to determine the root cause of the fault. Each training sample also includes the context relationship between multiple historical log records.
[0084] In some embodiments, the device provided by the embodiments of the present application further includes:
[0085] A driving impact determination unit, configured to determine whether the fault affects the autonomous driving of the vehicle according to the root cause of the fault and generate a determination result.
[0086] A data sending unit, specifically configured to send a fault problem analysis report to the vehicle-mounted terminal according to the root cause of the fault, the determination result, and the solution to the fault of the vehicle-mounted storage system.
[0087] In some embodiments, the data receiving unit is further configured to receive the score given by the expert terminal for the accuracy of the determined root cause of the fault.
[0088] The device provided by the embodiments of the present application further includes: a model update unit, configured to update the network parameters of the fault problem analysis model according to the difference between the score and a preset standard score if the score is lower than the preset standard score.
[0089] In addition, the embodiments of the present application further provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the electronic device is caused to execute the device provided by the above embodiments of the present application.
[0090] In addition, the embodiments of the present application further provide a storage medium storing a computer program, characterized in that when the computer program is executed by a processor, the computer is caused to execute the device provided by the above embodiments of the present application.
[0091] In addition, the embodiments of the present application further provide a computer program product, including a computer program, which when run, causes an electronic device to execute the device provided by the above embodiments of the present application.
[0092] In the above description, no detailed description is made of the technical details such as the composition of each layer. However, those skilled in the art should understand that various technical means can be used to form layers, regions, etc. of the required shape. In addition, in order to form the same structure, those skilled in the art can also design methods that are not exactly the same as the methods described above. In addition, although the above embodiments are described separately, this does not mean that the measures in each embodiment cannot be used advantageously in combination.
[0093] While the preferred embodiments of the present application have been described, additional changes and modifications can be made by those skilled in the art once they learn of the basic inventive concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present application.
[0094] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these modifications and variations.
Claims
1. A vehicle storage system problem analysis method, characterized in that: Applied to a server, the method comprises: Receiving a fault detection report sent by the vehicle terminal when a fault occurs in the operation of the vehicle storage system, the fault detection report including an operation log of the software of the vehicle storage system and a fault type; Inputting the operation log and fault type of the software of the vehicle storage system into a pre-trained fault problem analysis model to determine the root cause of the fault; Using the fault problem analysis model, according to the root cause of the fault, a solution to the fault of the vehicle storage system is determined, wherein the fault problem analysis model is obtained by inputting a plurality of training samples into a large model network for training, each of the training samples including a historical software operation log and a historical fault type of the vehicle storage system, and the corresponding root cause of the historical fault and a historical fault solution; According to the root cause of the fault and the solution to the fault of the vehicle-mounted storage system, a fault problem analysis report is sent to the vehicle-mounted terminal.
2. The method according to claim 1, characterized in that The operation log of the vehicle-mounted storage system software includes a record of the operation steps executed during the operation of the vehicle-mounted storage system software, software parameters of the vehicle-mounted storage system software, hardware parameters of the hardware environment in which it is located, and environmental parameters of the vehicle environment in which it is located. The type of the root cause of the fault includes a hardware level type, a software level type, a software and hardware compatibility level type, and / or a vehicle environment type.
3. The method according to claim 1, characterized in that After receiving the fault detection report, the method further includes: Obtaining a log sequence according to the running log of the software of the vehicle-mounted storage system, wherein the log sequence includes a plurality of log records having a time relationship; Extracting contextual relationships between multiple log records in the log sequence; The operation log and fault type of the software of the vehicle storage system are input into the pre-trained fault problem analysis model to determine the root cause of the fault, including The operation log of the software of the vehicle storage system, the contextual relationship between the multiple log records and the fault type are input into the pre-trained fault problem analysis model to determine the root cause of the fault. Each training sample also includes the contextual relationship between the multiple historical log records.
4. The method according to claim 1, characterized in that: After determining the root cause of the fault, the method further includes: Determine whether the fault affects the automatic driving of the vehicle according to the root cause of the fault, and generate a determination result; According to the root cause of the fault and the solution to the fault of the vehicle storage system, a fault problem analysis report is sent to the vehicle terminal, including: A fault problem analysis report is sent to the vehicle terminal according to the root cause of the fault, the determination result, and a solution to the fault of the vehicle storage system.
5. The method according to claim 1, characterized in that After determining the root cause of the fault, the method further includes: receiving a score from the expert terminal on the accuracy of the root cause of the fault; If the scoring score is lower than the preset standard score, the network parameters of the fault problem analysis model are updated according to the difference between the scoring score and the preset standard score.
6. The method according to any one of claims 1 to 5, characterized in that: The fault is detected by the vehicle-mounted terminal according to the operation log of the software of the vehicle-mounted storage system, or is input by the user in the vehicle-mounted terminal.
7. The method according to any one of claims 1 to 5, characterized in that: After receiving the fault detection report, the method further includes: The operation log of the software of the vehicle-mounted storage system is cleaned, and the cleaned operation log is formatted and normalized.
8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the electronic device executes the method according to any one of claims 1 to 7.
9. A storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the computer is caused to perform the method according to any one of claims 1 to 7.
10. A computer program product, comprising a computer program, characterized in that When the computer program is executed, the electronic device is caused to execute the method as claimed in any one of claims 1 to 7.