Intelligent report system and method for hydroelectric power plant, server and storage medium

Abstract

The invention provides an intelligent report system and method for a hydroelectric power plant, a server and a storage medium, and the system comprises a data collection module which is used for automatically collecting data from all data sources of the hydroelectric power plant, and carrying out the recognition and classification of the data collected from the data sources; the data processing module is used for carrying out data cleaning and preprocessing on the collected data and generating data required by a report according to a preset rule and algorithm; the report generation module is used for filling the processed data into a report according to the requirements of the user and a set report template, and performing format typesetting and beautifying to generate a final report; and the data storage module is used for storing the collected data, the processed data and the generated report for subsequent query and use. The report generation efficiency and quality are remarkably improved, the problems of low efficiency, errors and lagging in the prior art are avoided, and an intelligent and efficient solution is provided for hydroelectric power plant management.

Description

Technical Field

[0001] The present application relates to the technical field of report generation and management of hydroelectric power plants, and in particular to a smart report system, method, server and storage medium for hydroelectric power plants. Background Art

[0002] In the prior art, the report generation and management of hydropower plants mainly rely on manual operations. This traditional method usually requires operators to manually collect data from different data sources (such as SCADA systems, EMS systems, power marketing systems, etc.), and then use spreadsheet software to organize, calculate and analyze the data to finally generate reports. However, this method has significant shortcomings.

[0003] First, manual operation is very inefficient, especially when large amounts of data need to be processed, and the time and labor costs are unacceptable. With the expansion of the scale of hydropower plants and the surge in data volume, manual operation has been unable to meet the requirements of efficient management.

[0004] Secondly, the accuracy of data is difficult to guarantee. In the process of manually collecting and collating data, it is easy to cause inconsistent or erroneous report results due to operational errors or data omissions. Such inaccuracy not only affects the quality of decision-making, but also may bring potential operational risks.

[0005] In addition, the customization and flexibility of reports in the prior art are poor, and it is difficult to meet the diverse needs of different users for report content, format and display form. Users often need to spend extra time and energy to adjust reports to adapt to specific management requirements.

[0006] Finally, existing technologies lack the ability to update data in real time and dynamically. Traditional report generation processes are usually static and lagging, and cannot reflect the latest operating status of hydropower plants in a timely manner, causing decision makers to face the dilemma of information lag when responding to problems quickly.

[0007] In summary, the defects of the existing technology are mainly reflected in low efficiency, insufficient accuracy, weak customization ability and poor real-time performance, etc. These problems have become important obstacles to the modern management and efficient operation of hydropower plants. Summary of the invention

[0008] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0009] To this end, the first objective of this application is to propose an intelligent reporting system for a hydroelectric power plant.

[0010] The second objective of this application is to propose a smart reporting method for a hydroelectric power plant.

[0011] The third objective of this application is to provide a server.

[0012] A fourth objective of the present application is to provide a computer-readable storage medium.

[0013] A fifth object of the present application is to provide a computer program product.

[0014] To achieve the above objectives, the first embodiment of the present application proposes a hydropower plant smart reporting system, including:

[0015] A data collection module, for automatically collecting data from various data sources of the hydropower plant, and identifying and classifying the data collected from the data sources;

[0016] The data processing module is used to clean and preprocess the collected data and generate the data required for the report according to the preset rules and algorithms;

[0017] The report generation module is used to fill the processed data into the report according to the user's needs and the set report template, and perform formatting and beautification to generate the final report;

[0018] The storage module is used to store the collected data, processed data and generated reports for subsequent query and use.

[0019] Optionally, the data acquisition module establishes connections with multiple data sources of the hydropower plant through a network communication protocol or an application programming interface (API), and the network communication protocol includes a TCP / IP protocol and an IEC61850 protocol.

[0020] Optionally, the data acquisition module supports the following acquisition methods, including:

[0021] Timing collection, collecting data from the data source at set time intervals;

[0022] Event-triggered collection, when a specific event is detected in the data source, the collection operation is immediately triggered to obtain relevant data;

[0023] Full collection is combined with incremental collection. All data is obtained during the first collection, and only new or changed data is collected subsequently.

[0024] Optionally, the data acquisition module is further used for:

[0025] Automatically identify and classify the data types of the collected data, and organize them into operation data, equipment status data, and user electricity consumption data.

[0026] Optionally, the data processing module is further used to:

[0027] Remove redundancy, supplement missing values, and correct erroneous data from the collected data;

[0028] Perform format conversion, data normalization and encoding processing on the cleaned data;

[0029] Analyze, count and integrate the preprocessed data according to preset rules and algorithms to generate data that meets the requirements of the report template.

[0030] Optionally, the report generation module supports user-defined templates and parameter configurations, can generate dynamic reports in real time according to conditions set by the user, and supports multiple display forms such as tables, charts and trend analysis.

[0031] Optionally, the storage module uses a relational database or a distributed storage system to classify and store the collected original data, processed data and generated reports, and supports high-speed retrieval and multi-condition query.

[0032] To achieve the above-mentioned purpose, the second embodiment of the present application proposes a hydropower plant smart reporting method, including:

[0033] Automatically collect data from various data sources in the hydroelectric power plant, and identify and classify the data collected from the data sources;

[0034] Clean and pre-process the collected data, and generate the data required for the report according to the preset rules and algorithms;

[0035] According to the user's needs and the set report template, the processed data is filled into the report, and the format is formatted and beautified to generate the final report;

[0036] Store the collected data, processed data, and generated reports for subsequent query and use.

[0037] To achieve the above-mentioned purpose, a third aspect of the present application provides a server, comprising: a processor, and a memory communicatively connected to the processor;

[0038] The memory stores computer-executable instructions;

[0039] The processor executes the computer-executable instructions stored in the memory to implement the method as described in any one of the second aspects.

[0040] To achieve the above-mentioned purpose, the fourth aspect embodiment of the present application proposes a computer-readable storage medium, in which computer-readable storage medium is stored computer execution instructions, and when the computer execution instructions are executed by a processor, they are used to implement the method as described in any one of the second aspects.

[0041] To achieve the above-mentioned purpose, the fifth aspect of the present application proposes a computer program product, which implements any method in the second aspect when executed by a processor.

[0042] The technical solution provided by the embodiments of the present application brings at least the following beneficial effects:

[0043] The data acquisition module automatically acquires data from multiple data sources, and the data processing module is used to quickly clean, integrate and calculate data. The report generation module then automatically generates and beautifies reports, realizing the automation of the entire process from data acquisition to report generation, avoiding the cumbersome and error-prone problems of manual operations, improving the efficiency of report generation, and reducing the time and cost of manual operations. The data processing module performs cleaning and preprocessing operations such as deduplication, correction, and completion on the collected data, realizing comprehensive optimization of data quality, avoiding data errors or omissions that may be caused by manual operations, improving data accuracy and consistency, and reducing the risk of report errors. The report generation module supports user-defined report templates and parameter configurations, realizing dynamic adjustment of report content, format, and display form, avoiding the problem that traditional report templates are fixed and cannot meet personalized needs, improving the applicability of reports, and meeting the personalized needs of different users. By supporting real-time collection and event-triggered collection, the data processing module can quickly process and integrate the latest collected data, realizing dynamic update and real-time reflection of data, avoiding the problem of untimely information caused by the lag in traditional report generation, and improving the reliability and timeliness of reports in quick decision-making.

[0044] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0046] Figure 1 A structural schematic diagram of a hydroelectric power plant intelligent reporting system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0047] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0048] In view of the technical problems existing in the prior art, the present application provides a hydropower plant intelligent reporting system. Figure 1 This is a schematic diagram of the structure of a hydropower plant smart reporting system provided in the embodiment of the present application. Figure 1 As shown, the system includes the following modules: a data acquisition module 1, a data processing module 2, a report generation module 3 and a storage module 4.

[0049] In this embodiment, the data collection module 1 is used to automatically collect data from various data sources of the hydropower plant, and to identify and classify the data collected from the data sources.

[0050] Among them, these data sources include but are not limited to SCADA systems, EMS systems, power marketing systems and equipment monitoring systems, etc., and this application does not make specific limitations on this.

[0051] In addition, the data acquisition module 1 establishes connections with multiple data sources of the hydropower plant through a network communication protocol or an application program interface to achieve reliable data transmission. In the specific implementation, the following communication protocols are supported:

[0052] (1) TCP / IP protocol: used to establish a reliable network connection and transmit collected data;

[0053] (2) IEC61850 protocol: used for data exchange between equipment and systems within a hydropower plant, ensuring compatibility with standardized power communication protocols.

[0054] In addition, during the data transmission process, the data acquisition module 1 needs to take measures such as data encryption and verification to ensure the integrity and security of the data and prevent tampering and damage of the data packet during transmission. Encryption measures can be adopted in the following ways: symmetric encryption, asymmetric encryption, etc.; verification measures can be adopted in the following ways: hash verification, data integrity check, etc.

[0055] In addition, when the data acquisition module 1 communicates with the data source or target system, it must also pass a strict identity authentication mechanism to prevent unauthorized access. These mechanisms include:

[0056] (1) Digital certificate verification: Use CA-certified digital certificates to ensure the legitimate identities of both parties in the communication.

[0057] (2) Access token: Each request during the communication process is verified through a dynamically generated access token.

[0058] In the embodiment of the present application, the data acquisition module 1 has multiple acquisition modes to meet the data acquisition requirements of different scenarios, including the following modes:

[0059] (1) Timed collection

[0060] Data can be obtained regularly from various data sources at set intervals. For example, operating parameters and equipment status can be collected every hour or every day to ensure continuous updating of routine data.

[0061] (2) Event-triggered acquisition

[0062] When a specific event occurs in the data source (such as equipment failure, parameter abnormality, or alarm event), the data acquisition module immediately triggers the acquisition operation and quickly obtains relevant data. This function can be used to capture abnormal information in a timely manner to provide support for subsequent analysis.

[0063] (3) Combination of full and incremental collection

[0064] When the system is first run, a complete data set is obtained from all data sources to ensure data integrity. In subsequent runs, only new data or changed data is collected to reduce the burden of collecting and transmitting redundant data and improve system performance.

[0065] Finally, after the collected data enters the system, the data collection module 1 identifies and classifies it according to preset rules. For example:

[0066] Real-time operation data (such as voltage, current, and power) are classified as "operation data"; equipment status (such as switch status and fault information) are classified as "equipment data"; and user electricity usage information (such as electricity usage and electricity charges) are classified as "user data".

[0067] Through the above functions, the data acquisition module 1 can not only efficiently collect various types of data, but also provide structured and standardized input data for subsequent data processing through classification.

[0068] In the embodiment of the present application, the data processing module 2 is used to clean and preprocess the collected data, and generate the data required for the report according to preset rules and algorithms.

[0069] It should be noted that the collected data may contain noise, errors or incompleteness, so the data processing module 2 first performs a comprehensive cleanup of the collected raw data. The main operations include:

[0070] (1) Remove redundant data: Delete duplicate items in the data to reduce the burden of data storage and processing and improve the validity of the data.

[0071] (2) Supplement missing values: Use reasonable completion algorithms (such as mean filling, interpolation methods, or inference based on historical data) to fill in the missing parts of the data to ensure data integrity.

[0072] (3) Correct erroneous data: Detect and correct abnormal or erroneous values ​​in the data (such as invalid parameters, out-of-range values) to improve data quality and reliability.

[0073] Then, the data processing module 2 further normalizes the cleaned data so as to convert the data into a form suitable for subsequent analysis and integration, mainly including:

[0074] (1) Format conversion: Convert data in various formats (such as XML, JSON, CSV, etc.) from different data sources into a standard format supported by the system.

[0075] (2) Data normalization: Mapping data values ​​to a specific range (e.g., between 0 and 1) to eliminate dimensional differences in data from different sources and provide consistent input for subsequent calculations and analysis.

[0076] (3) Coding processing: Encode or convert classified data (such as equipment status, alarm type) into numerical form to facilitate statistics and analysis.

[0077] Finally, the data processing module 2 analyzes and integrates the pre-processed data according to the preset rules and algorithms, mainly including:

[0078] (1) Data analysis: Perform in-depth analysis (such as trend analysis and correlation analysis) based on multi-dimensional data to extract key information.

[0079] (2) Statistical calculation: Calculate the indicator values ​​of the data (such as mean, maximum value, minimum value, variance, etc.) and generate descriptive statistical results.

[0080] (3) Data integration: Associate and integrate relevant information from different data sources to form a structured data set that meets the requirements of the report template.

[0081] Through the above operations, the data processing module 2 can ensure the high quality and consistency of the data, avoid distortion of the analysis results caused by data errors or incompleteness, and provide highly standardized preprocessed data, generate data that meets the requirements of the report template, and provide reliable input for the report generation module.

[0082] In the embodiment of the present application, the report generation module 3 is used to fill the processed data into the report according to the user's needs and the set report template, and perform formatting and beautification to generate the final report.

[0083] It can be understood that the main function of the report generation module 3 is to fill the data processed by the data processing module into the report according to user needs and report templates, and complete the generation and optimization of the report.

[0084] First, the report generation module 3 receives the structured data provided by the data processing module 2 and fills it according to the report template specified by the user, including the following processes: mapping the data to the corresponding fields and positions in the report according to the report template selected by the user; ensuring that the report content is consistent with the template format, including title, table layout, unit, etc.; supporting the generation of customized report content based on dynamic parameters provided by the user (such as date range, device type).

[0085] Moreover, during the report generation process, the system automatically typesets and beautifies the report content to ensure that the final report structure is clear and visually friendly, including dynamically adjusting the table size, number of rows and columns, and text position based on the amount of data; adjusting the font, color, alignment, etc. to improve the readability and aesthetics of the report; and supporting automatic pagination and directory generation for multi-page reports.

[0086] In addition, the report generation module 3 also supports user-defined templates and parameter configurations, can generate dynamic reports in real time according to the conditions set by the user, and supports multiple display forms such as tables, charts and trend analysis.

[0087] Finally, various reports generated according to user needs and report templates include but are not limited to: daily production report and daily production analysis report of hydropower plant; weekly production report and weekly production analysis report; monthly production report and monthly production analysis report; quality unit data report; reliability data report, etc. This application does not make specific restrictions on this.

[0088] In the embodiment of the present application, the storage module 4 is used to store the collected data, processed data and generated reports for subsequent query and use.

[0089] Specifically, the storage module divides the data into different categories to ensure that different types of data are effectively managed and quickly accessed, thereby storing the original data collected from various data sources (such as SCADA systems, EMS systems, etc.). These data are usually large and unprocessed, and their integrity needs to be guaranteed when stored for subsequent analysis and traceability; store data that has been cleaned, preprocessed and calculated by the data processing module. These data have been standardized, de-redundanted and analyzed, and have high analytical value; and store report data generated by the report generation module according to user needs and report templates. These reports include daily production reports, weekly production reports, monthly production reports, unit data reports, etc., which are convenient for users to view, compare and analyze later.

[0090] In addition, in the embodiment of the present application, the storage module 2 supports two storage methods, relational database or distributed storage system, to meet the needs of different data types and scales. The embodiment of the present application does not provide specific descriptions of these two storage methods, which are both technical means known to people in this field.

[0091] In order to implement the above embodiment, the present application also proposes a hydropower plant intelligent reporting method. The method includes:

[0092] Automatically collect data from various data sources in the hydroelectric power plant, and identify and classify the data collected from the data sources;

[0093] Clean and pre-process the collected data, and generate the data required for the report according to the preset rules and algorithms;

[0094] According to the user's needs and the set report template, the processed data is filled into the report, and the format is formatted and beautified to generate the final report;

[0095] Store the collected data, processed data, and generated reports for subsequent query and use.

[0096] It should be noted that the specific implementation content and principles of the above method have been explained in detail in the relevant system modules and will not be repeated here.

[0097] In order to implement the above embodiments, the present application also proposes a server, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided by the above embodiments.

[0098] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0099] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the methods provided by the above embodiments when executed by a processor.

[0100] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0101] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.

[0102] The present application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, the present disclosure is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, the risk can be minimized by limiting data collection and deleting the data. In addition, when applicable, such personal information is de-identified to protect the privacy of the user.

[0103] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0104] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0105] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0106] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0107] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0108] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0109] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0110] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

[0111] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this application can be executed in parallel, sequentially or in different orders, as long as the expected results of the technical solution of this application can be achieved, and this document is not limited here.

[0112] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A hydroelectric power plant intelligent reporting system, characterized in that: include: A data collection module, for automatically collecting data from various data sources of the hydropower plant, and identifying and classifying the data collected from the data sources; The data processing module is used to clean and preprocess the collected data and generate the data required for the report according to the preset rules and algorithms; The report generation module is used to fill the processed data into the report according to the user's needs and the set report template, and perform formatting and beautification to generate the final report; The storage module is used to store the collected data, processed data and generated reports for subsequent query and use.

2. The system according to claim 1, characterized in that The data acquisition module establishes connections with multiple data sources of the hydropower plant through a network communication protocol or an application programming interface (API), and the network communication protocol includes a TCP / IP protocol and an IEC61850 protocol.

3. The system according to claim 1, characterized in that The data acquisition module supports the following acquisition methods, including: Timing collection, collecting data from the data source at set time intervals; Event-triggered collection, when a specific event is detected in the data source, the collection operation is immediately triggered to obtain relevant data; Full collection is combined with incremental collection. All data is obtained during the first collection, and only new or changed data is collected subsequently.

4. The system according to claim 1, characterized in that The data acquisition module is also used for: Automatically identify and classify the data types of the collected data, and organize them into operation data, equipment status data, and user electricity consumption data.

5. The system according to claim 1, characterized in that The data processing module is further used for: Remove redundancy, supplement missing values, and correct erroneous data from the collected data; Perform format conversion, data normalization and encoding processing on the cleaned data; Analyze, count and integrate the preprocessed data according to preset rules and algorithms to generate data that meets the requirements of the report template.

6. The system according to claim 1, characterized in that The report generation module supports user-defined templates and parameter configurations, can generate dynamic reports in real time according to user-set conditions, and supports multiple display forms such as tables, charts and trend analysis.

7. The system according to claim 1, characterized in that The storage module adopts a relational database or a distributed storage system to classify and store the collected original data, processed data and generated reports, and supports high-speed retrieval and multi-condition query.

8. A smart reporting method for a hydroelectric power plant, characterized in that: include: Automatically collect data from various data sources in the hydroelectric power plant, and identify and classify the data collected from the data sources; Clean and pre-process the collected data, and generate the data required for the report according to the preset rules and algorithms; According to the user's needs and the set report template, the processed data is filled into the report, and the format is formatted and beautified to generate the final report; Store the collected data, processed data, and generated reports for subsequent query and use.

9. A server, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method as claimed in claim 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to claim 8 when executed by a processor.

Images