Automatic arrangement method and system for integrated dispatching platform of Internet of Vehicles and computing network

Abstract

The invention discloses an automatic arrangement method and system of an Internet of Vehicles and computing network integrated scheduling platform, and belongs to the technical field of Internet of Vehicles and cloud computing, and the method comprises the steps: regularly reading a log file of a service arrangement system of a server or receiving log data information pushed by the service arrangement system, and carrying out the classification of data storage, comprising the steps of performing data storage according to log categories, log sources, log execution time and log contents; model servitization packaging: analyzing and extracting the logs according to business features and log categories; cloud edge-end collaborative arrangement: calculating the structured effective log data and generating data indexes; a multi-dimensional scheduling strategy: monitoring data indexes in an interface form, and supporting condition query and log data analysis; and a full-process execution state tracking and exception handling mechanism is provided. According to the method, dynamic optimization of the computing network resources of the Internet of Vehicles and rapid service deployment can be realized, and the resource utilization rate and the service response speed are improved.

Description

Technical Field

[0001] The present invention relates to the technical fields of vehicle networking and cloud computing, and more specifically, to an automated orchestration method and system for a vehicle networking computing and networking integrated scheduling platform. Background Art

[0002] With the rapid development of vehicle networking services, the demands for massive data processing, real-time service response, and cross-platform resource collaboration are increasing day by day. Traditional scheduling platforms have problems such as low resource utilization, difficult cross-cloud collaboration, and complex model management, and it is difficult to meet the dynamic service requirements in vehicle networking scenarios. In the prior art, resource scheduling mostly relies on manual configuration and lacks intelligent and automated orchestration capabilities, resulting in a long service deployment cycle and high maintenance costs. In addition, vehicle networking applications have extremely high requirements for real-time performance and reliability, and the deficiencies of existing systems in fault handling and elastic expansion restrict the development of services. Therefore, there is an urgent need for an efficient and intelligent automated orchestration method to achieve dynamic optimization of vehicle networking computing and networking resources and rapid service deployment. Summary of the Invention

[0003] The technical task of the present invention is to provide an automated orchestration method and system for a vehicle networking computing and networking integrated scheduling platform in view of the above deficiencies, which can achieve dynamic optimization of vehicle networking computing and networking resources and rapid service deployment, and improve resource utilization and service response speed.

[0004] The technical solution adopted by the present invention to solve its technical problems is as follows:

[0005] An automated orchestration method for a vehicle networking computing and networking integrated scheduling platform, the implementation of this method includes:

[0006] (1) Resource management and perception: Regularly read the server business orchestration system log file or receive the log data information pushed by the business orchestration system, and classify and store the data, including storing the data according to log category, log source, log execution time, log content, etc.; realize real-time monitoring and status synchronization of central cloud and edge cloud resources through the GPU computing power management module;

[0007] (2) Model service encapsulation: Analyze and extract the logs according to business characteristics and log categories; encapsulate the model inference code as a cloud-native microservice and generate an image;

[0008] (3) Cloud-edge-end collaborative orchestration: Calculate the structured valid log data and generate data metrics; realize cross-platform visual orchestration of resources, applications, and services based on the API orchestration engine;

[0009] (4) Multi-dimensional scheduling strategy: Monitor the data metrics in the form of an interface, support conditional query and log data analysis; support task-based, time-driven, conditional branch, and parallel scheduling;

[0010] 5) Visualization and monitoring: Provide a full-process execution status tracking and exception handling mechanism.

[0011] This method significantly improves resource utilization and service response speed in the vehicle networking scenario and reduces operation and maintenance complexity through a cloud-edge collaborative architecture and intelligent scheduling algorithms.

[0012] Furthermore, for resource management and perception, the service orchestration system can push log data by transmitting JSON and XML format text files through a gateway.

[0013] Furthermore, for resource management and perception, the log management system polls the service orchestration server through a scheduled task to obtain log data information; classifies and stores the obtained logs according to conditions; analyzes and processes the log data according to different service information, and classifies and summarizes different service logs;

[0014] The log management system can analyze and process logs according to log categories, including INFO, WARNING, ERROR, etc., and focus on managing ERROR category logs;

[0015] Classify and summarize the log content of each microservice in the service orchestration system, support summarizing and counting ERROR-level logs, and present the running status of the corresponding service through a visualization page.

[0016] Furthermore, for model service encapsulation,

[0017] Support encapsulating Python programs into cloud-native microservices that can provide functional HTTP access, and achieve functional and asynchronous encapsulation of HTTP API calls;

[0018] Developers can directly program API interfaces in the form of ordinary Python functions, thereby reducing the learning threshold and development difficulty of microservice applications and improving the development efficiency of cloud-native microservice applications; The vehicle networking intelligent computing platform supports encapsulating model inference code as a service.

[0019] Furthermore, for cloud-edge-end collaborative orchestration,

[0020] Support one-stop integration of resources, applications, and services through capabilities such as template syntax, workflow management, and integration management to simplify the business integration process across enterprises and environments;

[0021] Provide a simple and easy-to-use design method, rich service connectors, and managed running services through logical orchestration, connect the computing power services provided by the underlying system with upper-layer business applications, and achieve visualization orchestration, plan scheduling, and service hosting, providing support for API integration, message integration, and data integration for upper-layer services;

[0022] Provide integrated service support for business scenarios such as batch management of computing power resources, data interconnection between computing power services and local systems, creation of service-oriented behavior message notifications, and automated resource checks.

[0023] Furthermore, the multi-dimensional scheduling strategy

[0024] Supports multiple scheduling methods and realizes flexible scheduling of tasks through a scheduling engine. The multiple scheduling methods include task scheduling, time scheduling, branch scheduling, parallel scheduling, task retry, and exception suspension;

[0025] Supports visualization of the scheduling engine process: Presents the scheduling execution process through visualization capabilities, including information such as execution start time, end time, execution process output records, execution process input parameters, and execution status.

[0026] Furthermore, the visualization and monitoring

[0027] Generate a visualization interface based on the aggregated log data and analysis content, support querying by conditions such as log category, log source service, and log execution time. At the same time, support categorized display of the log generation systems;

[0028] Provide a full-process execution status tracking and exception handling mechanism.

[0029] The present invention also claims to protect an automated orchestration system for a vehicle networking computing and networking integrated scheduling platform, including:

[0030] A resource management and perception module, which is used to regularly read the log files of the server business orchestration system or receive the log data information pushed by the business orchestration system, and classify and store the data, including storing the data according to log category, log source, log execution time, log content, etc.; including a business orchestration system gateway, a timed task polling sub-module, and a log classification storage sub-module;

[0031] A model service encapsulation module, which is used to encapsulate Python programs into cloud-native microservices that can provide functional HTTP access, and realize the functional and asynchronous encapsulation of HTTP API calls; including a model encapsulation engine, a code template library, and a common tool set;

[0032] A cloud-edge-end collaborative orchestration module, which is used to support one-stop integration of resources, applications, and services through capabilities such as template syntax, workflow management, and integration management, and simplify the business integration process across enterprises and environments; including an orchestration setting sub-module, a workflow management sub-module, and an integration management sub-module;

[0033] The multi-dimensional scheduling module is used to support multi-mode scheduling and flexibly schedule tasks through a scheduling engine; it includes a task-based scheduling sub-module, a time scheduling sub-module, a branch scheduling sub-module, a parallel scheduling sub-module, a task retry sub-module, and an exception suspension sub-module;

[0034] The visualization and monitoring module is used to generate a visualization interface based on the summarized log data and analysis content, support query according to conditions including log category, log source service, log execution time, etc., and at the same time, support classified display of the log generation system; it includes a visualization interface generation sub-module, a query support sub-module, and a system classification display sub-module;

[0035] This system implements the automated orchestration method of the above-mentioned vehicle networking computing and networking integrated scheduling platform.

[0036] The present invention also claims to protect an apparatus for realizing automated orchestration of a vehicle networking computing and networking integrated scheduling platform, which is characterized by including: at least one memory and at least one processor;

[0037] The at least one memory is used to store machine-readable programs;

[0038] The at least one processor is used to call the machine-readable program to implement the above method.

[0039] The present invention also claims to protect a computer-readable medium, on which computer instructions are stored, and when the computer instructions are executed by a processor, the above method is implemented.

[0040] Compared with the prior art, the automated orchestration method and system of the vehicle networking computing and networking integrated scheduling platform of the present invention have the following beneficial effects:

[0041] Through the cloud-edge collaboration architecture and intelligent scheduling algorithm, the present invention significantly improves the resource utilization rate and service response speed in the vehicle networking scenario and reduces the operation and maintenance complexity; the present invention can realize the dynamic optimization of vehicle networking computing and networking resources and the rapid deployment of services, improving the resource utilization rate and service response speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a functional architecture diagram of the automated orchestration system of the vehicle networking computing and networking integrated scheduling platform provided by an embodiment of the present invention;

[0043] Figure 2 It is an example diagram of the automated orchestration implementation workflow of the vehicle networking computing and networking integrated scheduling platform provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0045] An embodiment of the present invention provides an automated orchestration method for a vehicle networking computing and networking integrated scheduling platform. The implementation of this method includes:

[0046] 1. Resource management and perception: Regularly read the server business orchestration system log file or receive the log data information pushed by the business orchestration system, and classify and store the data, including storing the data according to log categories, log sources, log execution times, log contents, etc.; implement real-time monitoring and status synchronization of the central cloud and edge cloud resources through the GPU computing power management module.

[0047] 2. Model service encapsulation: Analyze, extract, and process the logs according to business characteristics and log categories.

[0048] 3. Cloud-edge-end collaborative orchestration: Calculate the structured valid log data and generate data metrics.

[0049] 4. Multi-dimensional scheduling strategy: Monitor the data metrics in the form of an interface, support conditional query, and log data analysis.

[0050] 5. Visualization and monitoring: Provide a full-process execution status tracking and exception handling mechanism.

[0051] Among them, the business orchestration system can push log data by transmitting json and xml format text files through the gateway.

[0052] The log management system polls the business orchestration server through a scheduled task to obtain log data information; classifies and stores the obtained logs according to conditions; analyzes and processes the log data according to different business information, and classifies and summarizes different business logs.

[0053] The log management system can analyze and process according to log categories, such as INFO, WARNING, ERROR and other log categories, and focus on managing ERROR category logs.

[0054] Classify and summarize the log contents of each microservice of the business orchestration system, support the summary statistics of ERROR-level logs, and present the running status of the corresponding service through a visualization page.

[0055] Generate a visualization interface according to the summarized log data and analysis content, support query according to conditions such as log categories, log source services, log execution times, etc., and at the same time, support the classified display of the log generation system.

[0056] Resource management and perception realizes real-time monitoring and status synchronization of central cloud and edge cloud resources through the GPU computing power management module; model service encapsulation packages model inference code into cloud-native microservices and generates images. Cloud-edge-end collaborative orchestration realizes cross-platform visual orchestration of resources, applications, and services based on the API orchestration engine; multi-dimensional scheduling strategies support task-based, time-driven, conditional branch, and parallel scheduling. This method significantly improves resource utilization and business response speed in the vehicle networking scenario and reduces operation and maintenance complexity through the cloud-edge collaborative architecture and intelligent scheduling algorithms.

[0057] The specific implementation of this method is as follows:

[0058] S1. Resource management and perception:

[0059] Regularly read the server business orchestration system log file or receive the log data information pushed by the business orchestration system, and store the data according to log categories, log sources, log execution times, log contents, etc.

[0060] The business orchestration system can push log data by transmitting JSON and XML format text files through the gateway.

[0061] The log management system can poll the business orchestration server through scheduled tasks to obtain log data information.

[0062] The log management system classifies and stores the obtained logs according to conditions.

[0063] S2. Model service encapsulation:

[0064] Supports encapsulating Python programs into cloud-native microservices that can provide functional HTTP access, realizing functional and asynchronous encapsulation of HTTP API calls.

[0065] Developers can directly program API interfaces in the form of ordinary Python functions, thereby reducing the learning threshold and development difficulty of microservice applications and improving the development efficiency of cloud-native microservice applications.

[0066] The vehicle networking intelligent computing platform needs to support encapsulating model inference code into services.

[0067] S3. Cloud-edge-end collaborative orchestration:

[0068] Supports one-stop integration of resources, applications, and services through capabilities such as template syntax, workflow management, and integration management, simplifying the business integration process across enterprises and environments.

[0069] The logical orchestration provides an easy-to-use design method, rich service connectors, and managed running services, connecting the computing power services provided by the underlying system with the upper-layer business applications, realizing visual orchestration, scheduling, and service hosting, and providing support for API integration, message integration, and data integration for the upper-layer business.

[0070] Provide integrated service support for business scenarios such as batch management of computing power resources, data interconnection between computing power services and local system data, creation of service behavior message notifications, and automated resource checks.

[0071] S4. Multi-dimensional scheduling strategy:

[0072] Support multiple scheduling methods and flexibly schedule tasks through the scheduling engine, including task scheduling, time scheduling, branch scheduling, parallel scheduling, task retry, and exception suspension.

[0073] Support the visualization of the scheduling engine process: The scheduling execution process can be presented through visualization capabilities. In the visualization, the execution start time, end time, execution process output records, execution process input parameters, execution status, etc. can be seen.

[0074] S5. Visualization and monitoring:

[0075] Generate a visualization interface based on the aggregated log data and analysis content, support query by conditions such as log category, log source service, log execution time, etc., and at the same time, support the classified display of the log generation system.

[0076] Provide a full-process execution status tracking and exception handling mechanism.

[0077] The embodiment of the present invention also provides an automated orchestration system for a vehicle networking computing and networking integrated scheduling platform, including:

[0078] A resource management and perception module, which is used to regularly read the server business orchestration system log file or receive the log data information pushed by the business orchestration system, and classify and store the data, including storing the data according to log category, log source, log execution time, log content, etc.; including a business orchestration system gateway, a timed task polling sub-module, and a log classification storage sub-module.

[0079] A model service encapsulation module, which is used to encapsulate a Python program into a cloud-native microservice that can provide functional HTTP access, realizing the functional and asynchronous encapsulation of HTTP API calls; including a model encapsulation engine, a code template library, and a common tool set.

[0080] The cloud-edge-end collaborative orchestration module is used to support the one-stop integration of resources, applications, and services through capabilities such as template syntax, workflow management, and integration management, simplifying the business integration process across enterprises and environments; it includes an orchestration settings sub-module, a workflow management sub-module, and an integration management sub-module.

[0081] The multi-dimensional scheduling module is used to support multi-mode scheduling and flexibly schedule tasks through a scheduling engine; it includes a task-based scheduling sub-module, a time scheduling sub-module, a branch scheduling sub-module, a parallel scheduling sub-module, a task retry sub-module, and an exception suspension sub-module.

[0082] The visualization and monitoring module is used to generate a visualization interface based on the aggregated log data and analysis content, support querying according to conditions including log category, log source service, log execution time, etc., and at the same time, support the classified display of the log generation system; it includes a visualization interface generation sub-module, a query support sub-module, and a system classification display sub-module.

[0083] This system implements the automated orchestration method of the vehicle networking computing and networking integrated scheduling platform described in the above embodiments.

[0084] The resource management and perception module regularly reads the server business orchestration system log file or receives the log data information pushed by the business orchestration system, and stores the data according to log category, log source, log execution time, log content, etc.

[0085] The business orchestration system can push log data by transmitting JSON and XML format text files through the gateway.

[0086] The log management system can poll the business orchestration server through a scheduled task to obtain log data information.

[0087] The log management system classifies and stores the obtained logs according to conditions.

[0088] The model service encapsulation module supports encapsulating Python programs into cloud-native microservices that can provide functional HTTP access, realizing the functional and asynchronous encapsulation of HTTP API calls.

[0089] Developers can directly program API interfaces in the form of ordinary Python functions, thereby reducing the learning threshold and development difficulty of microservice applications and improving the development efficiency of cloud-native microservice applications.

[0090] The vehicle networking intelligent computing platform needs to support encapsulating model inference code as a service.

[0091] The cloud-edge-end collaborative orchestration module supports the one-stop integration of resources, applications, and services through capabilities such as template syntax, workflow management, and integration management, simplifying the business integration process across enterprises and environments.

[0092] Logical orchestration provides a simple and easy-to-use design method, rich service connectors, and managed running services, connecting the computing power services provided by the underlying system with the upper-layer business applications, realizing visual orchestration, planning and scheduling, and service hosting, and providing support for API integration, message integration, and data integration for the upper-layer business.

[0093] Provide integrated service support for business scenarios such as batch management of computing power resources, data interconnection between computing power services and local systems, creation of service behavior-oriented message notifications, and automated resource checks.

[0094] The multi-dimensional scheduling module supports multiple scheduling methods and realizes flexible scheduling of tasks through a scheduling engine, including task scheduling, time scheduling, branch scheduling, parallel scheduling, task retry, and exception suspension.

[0095] Support the visualization of the scheduling engine process: The scheduling execution process can be presented through visualization capabilities. In the visualization, the execution start time, end time, execution process output record, execution process input parameters, execution status, etc. can be seen.

[0096] The visualization and monitoring module generates a visualization interface based on the aggregated log data and analysis content, supports querying according to conditions such as log category, log source service, and log execution time, and at the same time, supports the classified display of the log generation system.

[0097] Provide a full-process execution status tracking and exception handling mechanism.

[0098] An embodiment of the present invention also provides an automated orchestration implementation device for a vehicle networking computing and networking integrated scheduling platform, which is characterized in that it includes: at least one memory and at least one processor;

[0099] The at least one memory is used to store machine-readable programs;

[0100] The at least one processor is used to call the machine-readable program to implement the automated orchestration implementation method of the vehicle networking computing and networking integrated scheduling platform.

[0101] An embodiment of the present invention further provides a computer-readable medium, on which computer instructions are stored. When the computer instructions are executed by a processor, the method for realizing the automated orchestration of the vehicle networking computing and networking integrated scheduling platform described in the above embodiments is realized. Specifically, a system or device equipped with a storage medium can be provided. On this storage medium, software program codes for realizing the functions of any one of the above embodiments are stored, and the computer (or CPU or MPU) of the system or device is made to read and execute the program codes stored in the storage medium.

[0102] In this case, the program code read from the storage medium itself can realize the functions of any one of the above embodiments. Therefore, the program code and the storage medium storing the program code constitute a part of the present invention.

[0103] Examples of the storage medium for providing the program code include floppy disks, hard disks, magneto-optical disks, optical disks (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), magnetic tapes, non-volatile memory cards, and ROMs. Optionally, the program code can be downloaded from a server computer via a communication network.

[0104] In addition, it should be clear that not only can the functions of any one of the above embodiments be realized by executing the program code read by the computer, but also part or all of the actual operations can be completed by an operating system or the like operating on the computer based on the instructions of the program code.

[0105] In addition, it can be understood that the program code read from the storage medium is written into the memory provided in the expansion board inserted into the computer or the memory provided in the expansion unit connected to the computer, and then based on the instructions of the program code, the CPU or the like installed on the expansion board or the expansion unit is made to execute part and all of the actual operations, so as to realize the functions of any one of the above embodiments.

[0106] The present invention has been described in detail through the accompanying drawings and preferred embodiments above. However, the present invention is not limited to these disclosed embodiments. Based on the above-mentioned multiple embodiments, those skilled in the art can know that more embodiments of the present invention can be obtained by combining the code review means in the above different embodiments, and these embodiments are also within the protection scope of the present invention.

Claims

1. An automated orchestration method for a vehicle networking computing and networking integrated scheduling platform, characterized in that, The implementation of this method includes: 1) Resource management and perception: Regularly read the server business orchestration system log files or receive the log data information pushed by the business orchestration system, and classify and store the data, including storing the data according to log categories, log sources, log execution times, and log contents; 2) Model service encapsulation: Analyze, extract, and process the logs according to business characteristics and log categories; 3) Cloud-edge-end collaborative orchestration: Calculate the structured valid log data and generate data metrics; 4) Multi-dimensional scheduling strategy: Monitor the data metrics in the form of an interface, support conditional query, and log data analysis; 5) Visualization and monitoring: Provide full-process execution status tracking and exception handling mechanisms.

2. The automated orchestration method of an integrated vehicle networking computing and networking scheduling platform according to claim 1, characterized in that, Regarding the resource management and perception, the business orchestration system can push log data by transmitting JSON and XML format text files through the gateway.

3. An automated orchestration method for a vehicle networking computing and networking integrated scheduling platform according to claim 1 or 2, characterized in that, Regarding the resource management and perception, the log management system polls the business orchestration server through a scheduled task to obtain log data information; classify and store the obtained logs according to conditions; For the log data, analyze and process it according to different business information, and classify and summarize different business logs; The log management system can analyze and process logs according to log categories, including INFO, WARNING, and ERROR log categories, and focus on managing ERROR category logs; Classify and summarize the log contents of each microservice in the business orchestration system, support summarizing and counting ERROR-level logs, and present the running status of the corresponding service through a visualization page.

4. An automated orchestration method for a vehicle networking computing and networking integrated scheduling platform according to claim 1, characterized in that, Regarding the model service encapsulation, Support encapsulating Python programs into cloud-native microservices that can provide functional HTTP access, and realize the functional and asynchronous encapsulation of HTTP API calls; Developers can directly program API interfaces in the form of ordinary Python functions; the vehicle networking intelligent computing platform supports encapsulating model inference code as services.

5. An automated orchestration method for a vehicle networking computing and networking integrated scheduling platform according to claim 1, characterized in that, Regarding the cloud-edge-end collaborative orchestration, Support one-stop integration of resources, applications, and services through template syntax, workflow management, and integration management capabilities; Through logical orchestration, connect the computing power services provided by the underlying system with upper-layer business applications, realize visual orchestration, plan scheduling, and service hosting, so as to provide support for API integration, message integration, and data integration for upper-layer businesses.

6. An automated orchestration method for a vehicle networking computing and networking integrated scheduling platform according to claim 1, characterized in that, Regarding the multi-dimensional scheduling strategy, Support multi-mode scheduling, and flexibly schedule tasks through a scheduling engine. Multi-mode scheduling includes task scheduling, time scheduling, branch scheduling, parallel scheduling, task retry, and exception suspension; Support visualization of the scheduling engine process: Present the scheduling execution process through visualization capabilities, including execution start time, end time, execution process output records, execution process input parameters, and execution status information.

7. An automated orchestration method for a vehicle networking computing and networking integrated scheduling platform according to claim 1 or 6, characterized in that Regarding the visualization and monitoring, Generate a visualization interface based on the summarized log data and analysis content, support querying according to conditions including log categories, log source services, and log execution times, and at the same time, support classified display of the log generation systems; Provide full-process execution status tracking and exception handling mechanisms.

8. An automated orchestration system for a vehicle networking computing and networking integrated scheduling platform, characterized in that, It includes: A resource management and perception module, which is used to periodically read the server business orchestration system log file or receive the log data information pushed by the business orchestration system, and store the data in categories, including storing the data according to the log category, log source, log execution time, and log content; It includes a business orchestration system gateway, a timed task polling sub-module, and a log classification storage sub-module; A model service encapsulation module, which is used to encapsulate a Python program into a cloud-native microservice that can provide functional HTTP access, and realize the functional and asynchronous encapsulation of HTTP API calls; It includes a model encapsulation engine, a code template library, and a common tool set; A cloud-edge-end collaborative orchestration module, which is used to support the one-stop integration of resources, applications, and services through template syntax, workflow management, and integration management capabilities, and simplify the business integration process across enterprises and environments; It includes an orchestration setting sub-module, a workflow management sub-module, and an integration management sub-module; A multi-dimensional scheduling module, which is used to support multi-mode scheduling and realize flexible scheduling of tasks through a scheduling engine; It includes a task-based scheduling sub-module, a time scheduling sub-module, a branch scheduling sub-module, a parallel scheduling sub-module, a task retry sub-module, and an exception suspension sub-module; A visualization and monitoring module, which is used to generate a visualization interface based on the summarized log data and analysis content, support query according to conditions including log category, log source service, and log execution time, and at the same time, support the classified display of the log generation system; It includes a visualization interface generation sub-module, a query support sub-module, and a system classification display sub-module; This system implements the automated orchestration method of the vehicle network computing and network integration scheduling platform described in any one of claims 1 to 7.

9. An automated orchestration implementation device for a vehicle networking computing and networking integrated scheduling platform, characterized in that, It includes: At least one memory and at least one processor; The at least one memory is used to store machine-readable programs; The at least one processor is used to call the machine-readable program to implement the method described in any one of claims 1 to 7.

10. A computer-readable medium, characterized in that, Computer instructions are stored on the computer-readable medium, and when the computer instructions are executed by the processor, the method described in any one of claims 1 to 7 is implemented.

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