CN117893169A - Data processing method, computer device and computer storage medium - Google Patents
Data processing method, computer device and computer storage medium Download PDFInfo
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- 238000007405 data analysis Methods 0.000 claims abstract description 103
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Abstract
The embodiment of the application discloses a data processing method, computer equipment and a computer storage medium. The method comprises the steps that computer equipment obtains data shared by a plurality of devices based on connection with the plurality of devices, and a data set to be analyzed is obtained; the data analysis method comprises the steps that a plurality of devices are deployed at different geographic positions, a data set is processed and analyzed according to a preset data analysis program, a data analysis result is obtained, a data analysis result request sent by target devices is received, the data analysis result request is responded, the data analysis result is sent to the target devices, and the data analysis result is displayed to users. Therefore, the data collection efficiency and the data analysis efficiency can be improved, powerful data support is provided for the practical application of the data analysis result, the labor and material resources are saved, and the operability of data management is improved.
Description
Technical Field
The embodiment of the application relates to the field of data processing, in particular to a data processing method, computer equipment and a computer storage medium.
Background
Nationwide companies can set branch companies or branch offices around the country, and the companies perform centralized leadership, hierarchical management and unified accounting on units to which the companies belong. In the management of employees in different places of a nationwide company, personal information, work experience, education background and the like of the employees in different places can be collected, stored, updated and retrieved. The information can play an important role in recruitment, promotion, training, performance evaluation and other processes.
However, the collection and analysis of the information of the employees in different places are very complicated, sometimes the personnel are required to personally consult the branch offices in different places to obtain the information of the employees in different places, the efficiency is low, and the time is also required to process and analyze a large amount of information of the employees in different places, so that the labor and material resources are very consumed, and the processing and analysis efficiency is low.
Disclosure of Invention
The embodiment of the application provides a data processing method, computer equipment and a computer storage medium, which are used for improving the efficiency of data collection and data analysis, saving the effort and material resources and improving the operability of data management.
A first aspect of an embodiment of the present application provides a data processing method, where the method is applied to a computer device, and the method includes:
based on the connection with a plurality of devices, acquiring data shared by the plurality of devices to obtain a data set to be analyzed; the plurality of devices are deployed at different geographic locations;
processing and analyzing the data set according to a preset data analysis program to obtain a data analysis result;
receiving a data analysis result request sent by target equipment, responding to the data analysis result request, and sending the data analysis result to the target equipment;
and displaying the data analysis result to a user.
A second aspect of embodiments of the present application provides a computer device, the computer device comprising:
the acquisition unit is used for acquiring data shared by a plurality of devices based on connection with the plurality of devices to obtain a data set to be analyzed; the plurality of devices are deployed at different geographic locations;
the processing unit is used for processing and analyzing the data set according to a preset data analysis program to obtain a data analysis result;
the sending unit is used for receiving a data analysis result request sent by target equipment and responding to the data analysis result request to send the data analysis result to the target equipment;
and the display unit is used for displaying the data analysis result to a user.
A third aspect of the embodiments of the present application provides a computer device comprising a memory storing a computer program and a processor implementing the method of the first aspect when the processor executes the computer program.
A fourth aspect of the embodiments provides a computer storage medium having stored therein instructions which, when executed on a computer, cause the computer to perform the method of the first aspect described above.
A fifth aspect of the embodiments of the present application provides a computer program product which, when run on a computer device, causes the computer device to perform the method of the first aspect described above.
From the above technical solutions, the embodiments of the present application have the following advantages:
the method comprises the steps that computer equipment obtains data shared by a plurality of devices based on connection with the plurality of devices, and a data set to be analyzed is obtained; the data analysis method comprises the steps that a plurality of devices are deployed at different geographic positions, a data set is processed and analyzed according to a preset data analysis program, a data analysis result is obtained, a data analysis result request sent by target devices is received, the data analysis result request is responded, the data analysis result is sent to the target devices, and the data analysis result is displayed to users. Therefore, the data collection efficiency and the data analysis efficiency can be improved, powerful data support is provided for the practical application of the data analysis result, the labor and material resources are saved, and the operability of data management is improved.
Drawings
FIG. 1 is a schematic diagram of a network framework in an embodiment of the present application;
FIG. 2 is a schematic flow chart of a data processing method in an embodiment of the present application;
FIG. 3 is a schematic diagram of a computer device according to an embodiment of the present application;
fig. 4 is a schematic diagram of another structure of a computer device in an embodiment of the present application.
Detailed Description
The embodiment of the application provides a data processing method, computer equipment and a computer storage medium, which are used for improving the efficiency of data collection and data analysis, saving the effort and material resources and improving the operability of data management.
Referring to fig. 1, in an embodiment of the present application, a network framework includes:
a service server 100 and a terminal cluster; the terminal cluster may include: terminal devices 200a, 200b, 200c, … …, 200n, and the like.
The service server 100 may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server that provides a cloud database, a cloud service, cloud computing, a cloud function, cloud storage, a network service, cloud communication, a middleware service, a domain name service, a security service, a CDN, and basic cloud computing services such as a big data and an artificial intelligence platform. The terminal devices (including terminal device 200a, terminal device 200b, terminal devices 200c, … …, and terminal device 200 n) may be smart phones, tablet computers, notebook computers, desktop computers, palm computers, mobile internet devices (mobile internet device, MID), wearable devices (e.g., smart watches, smart bracelets, etc.), smart computers, smart vehicles, and other smart terminals.
The service server 100 may establish communication connection with each terminal device in the terminal cluster, and may also establish communication connection between each terminal device in the terminal cluster. In other words, the service server 100 may establish a communication connection with each of the terminal apparatuses 200a, 200b, 200c, … …, 200n, for example, a communication connection may be established between the terminal apparatus 200a and the service server 100. A communication connection may be established between terminal device 200a and terminal device 200b, and a communication connection may also be established between terminal device 200a and terminal device 200 c. The communication connection is not limited to a connection manner, and may be directly or indirectly connected through a wired communication manner, or may be directly or indirectly connected through a wireless communication manner, and the like, and may be specifically determined according to an actual application scenario, which is not limited herein.
It should be understood that each terminal device in the terminal cluster shown in fig. 1 may be provided with an application client, and when the application client runs in each terminal device, the application client may interact with the service server 100 respectively, so that the service server 100 may receive service data from each terminal device (such as financial management data uploaded by a user through the terminal device). The application client may be an application client having a function of displaying data information such as text, image, audio and video, such as a financial management application, an enterprise transaction management application, a browser application, a social application, an instant messaging application, a live broadcast application, a game application, a short video application, a music application, a shopping application, a novel application, a payment application, etc., and may specifically be determined according to actual application scene requirements, without limitation. The application client may be an independent client, or may be an embedded sub-client integrated in a certain client (such as a financial management client, an enterprise transaction management client, etc.), which may be specifically determined according to an actual application scenario, and is not limited herein.
The data processing method in the embodiment of the present application will be described below with reference to the network framework of fig. 1:
referring to fig. 2, an embodiment of a data processing method in an embodiment of the present application includes:
201. based on the connection with a plurality of devices, acquiring data shared by the plurality of devices to obtain a data set to be analyzed; the plurality of devices are deployed at different geographic locations;
the method of the present embodiment is applicable to a computer device, which may be the service server 100 or each terminal device in the network framework shown in fig. 1. The computer device may be connected to a plurality of devices that may be deployed in different geographic locations, such as terminals, servers, etc. of branches or affiliates located nationally by nationwide companies. The computer device may obtain data shared by the plurality of devices based on the connection with the plurality of devices, resulting in a data set to be analyzed.
The data shared by the devices can be, for example, employee information of branches or branches of nationwide companies, and the computer device acquires the employee information of each branch or branch, so that centralized management of employees of each branch can be facilitated.
202. Processing and analyzing the data set according to a preset data analysis program to obtain a data analysis result;
the computer device can process and analyze the data set according to a preset data analysis program to obtain a data analysis result. The data analysis program may be a program packaged based on any data analysis algorithm, and is not limited herein as long as it is an algorithm capable of performing data processing.
Wherein predictive analysis may be performed from the data set, such as a computer device as an employee information management system, and future trends and likelihoods may be predicted and analyzed using historical data and algorithm models in the employee information management system. The predictive analysis can help enterprises to prepare in advance, optimize resource allocation and improve the accuracy and effectiveness of decision making.
203. Receiving a data analysis result request sent by target equipment, responding to the data analysis result request, and sending the data analysis result to the target equipment;
after the computer device completes processing the data set to obtain a data analysis result, the target device that needs to obtain the data analysis result may send a data analysis result request to the computer device, and then the computer device sends the data analysis result to the target device in response to the request, so that the target device performs other operations based on the data analysis result.
For example, the data shared by the plurality of devices may be employee information of branches or branches of a nationwide company, and the data analysis result obtained by processing according to the data set may be an analysis result of the employee information, such as an analysis result in terms of work performance, capability, interest, and the like of the employee. After obtaining the analysis results of the employee information, each of the requesting parties may request the analysis results from the computer device. In one implementation, to facilitate staff information management by the user at any time and anywhere, the user may request the analysis results from the computer device through the mobile-side application. Through the application, a user can perform staff information inquiry, updating, maintenance and other works on the mobile phone or the tablet computer. Such a mobile-end application may enhance the convenience and usability of the method of the present embodiment.
In another implementation, to achieve efficient employee information sharing and management, users may access and share employee information over the internet at any location and time on a cloud service, requesting analysis results of the employee information from a computer device. The cloud service can reduce the operation cost and maintenance difficulty of the system, and meanwhile improves the flexibility and expandability of the system.
In another implementation manner, the method and the scenario of the embodiment may be applied to a personnel decision support system, where the system may request analysis results of employee information from a computer device, where the computer device serves as an employee information management system, and the personnel decision support system may provide more comprehensive and accurate information support for personnel decisions by using data and analysis results in the employee information management system. For example, by analyzing data on staff's work performance, ability, interests, etc., a powerful reference can be provided for decisions on recruitment, promotion, training, etc.
In another implementation manner, an integrated solution may be implemented, that is, the employee information management system is integrated with other related systems (such as financial systems, sales systems, etc.), so as to implement sharing and exchange of data, and implement sharing of analysis results of data. The integrated solution can improve the working efficiency, reduce the data redundancy and inconsistency, and simultaneously reduce the maintenance cost of the system.
In another implementation, mobile office may be implemented. With the popularization of mobile equipment, staff can access and operate the staff information management system anytime and anywhere in the system design, so that the work efficiency and response speed are improved. Meanwhile, the mobile office can provide more convenient data input and inquiry functions, and a user can conveniently process work anytime and anywhere.
204. Displaying the data analysis result to a user;
the computer equipment can be used as a data visualization tool, and in order to better distribute, trend and relevance of employee information data, a data analysis result can be presented in a graph, image and other modes, so that a user can be helped to more intuitively understand the employee information data, and decision making and analysis can be better performed.
For example, a data analysis report may be generated and displayed based on the data analysis results. In order to present the data and analysis results of the employee information management system, it is necessary to have a mechanism for generating a data analysis report. The report can be presented in the form of a chart, a report and the like, so that a user can conveniently and quickly know and analyze various indexes and trends of employee information. Such data analysis reporting may improve the pertinence and effectiveness of the decisions.
In this embodiment, the data set is processed and analyzed according to a preset data analysis program, and in a preferred implementation manner, the data set is processed and analyzed according to a preset data analysis rule engine to obtain a data analysis result. In order to improve the efficiency and accuracy of employee information management, the functions of automatic updating, checking and sorting of employee information and the like can be realized through technical means such as an automatic flow, a rule engine and the like. The intelligent management can reduce human errors and operation cost and improve the reliability and accuracy of management. The rule engine is developed by an inference engine and is a component embedded in an application program, which implements the separation of business decisions from application code and the writing of business decisions using predefined semantic modules. The rule engine may accept data input, interpret business rules, and make business decisions based on the business rules, so that the rule engine may be used to analyze the data set and obtain data analysis results.
In order to achieve more flexible and dynamic employee information management, a rule engine is used for processing and analyzing a data set, and functions of automatic processing, verification and the like of employee information can be achieved through custom rules and conditions. The rule engine can improve the flexibility and adaptability of management and meet the requirements and service changes of different users.
In this embodiment, the data analysis result is sent to the target device, and in a preferred implementation manner, the data analysis result is encrypted by using a preset encryption algorithm to obtain encrypted data, and the encrypted data is sent to the target device. Security is an important consideration in the design of off-site employee information management systems. Therefore, there is a need for a security design that includes authentication of user identity, encryption and backup of data, and protection against unauthorized access. Such a security design may protect the system's data from loss or leakage.
In this embodiment, the data analysis result is sent to the target device, and in a preferred implementation manner, the data analysis result request is checked according to a preset access control rule to determine whether the data analysis result request is legal; if yes, sending a data analysis result to the target equipment. Computer devices serve as employee information management systems in which security and privacy protection are critical. The method of the embodiment can relate to a security mechanism, which comprises functions of data encryption, access control, security audit and the like, and ensures the security and privacy of employee information. The mechanism can prevent data leakage, protect user rights and interests and meet the requirements of related laws and regulations.
In this embodiment, the computer device may further obtain service data of an organization where the plurality of devices are located, update the data set according to the service data, and process and analyze the updated data set according to a preset data analysis program to obtain an updated version of the data analysis result.
Therefore, the embodiment can realize an automatic flow of data analysis processing, and in order to improve the efficiency and accuracy of staff information management, the method of the embodiment can relate to an automatic flow. The process can realize the functions of automatic processing, approval, automatic updating and the like of employee information, and reduces the manual intervention and operation cost. Meanwhile, the automation flow can also improve the reliability and accuracy of management and reduce human errors and mistakes.
In this embodiment, as a data analysis application, it relates to a data analysis application based on an employee information management system. Through the analysis, modes and trends of staff performance, capacity, interests and the like can be revealed, so that more accurate data support is provided for human resource decision-making. Such data analysis applications may further enhance the utility and commercial value of the method of the present embodiment.
Because the difficulty and pain points of the national company in the management of the remote operation and maintenance personnel are more and more obvious at present, the embodiment mainly relies on the understanding of the remote operation and maintenance work, and designs a set of remote personnel information management system through which the information such as personal information, work experience, education background and the like of the remote personnel can be collected, stored, updated and retrieved. The information can play an important role in recruitment, promotion, training, performance evaluation and other processes. For personnel attribution, particularly job level construction schemes, the schemes can prescribe responsibilities, rights, salaries, promotion criteria, etc. of different positions to help organizations better manage and encourage employees. This job-level construction scheme may be applicable to different industries and institutions of different sizes.
The technology can realize the related functions of remote personnel management and job level construction. Such techniques may include database techniques, networking techniques, artificial intelligence techniques, etc. to ensure stability and efficiency of the system.
Application scenarios involving off-site operations and maintenance work may include a variety of different industries and organizations of different sizes, such as national financial management operations and maintenance companies, national catering chain companies, non-profit organizations, and the like. These institutions may utilize the offsite personnel management and job level construction schemes of this patent to improve organizational efficiency and management level. Personnel information sharing, a mechanism for personnel information sharing, so that personnel information can be more conveniently shared and cooperated between different departments and teams. Such sharing mechanisms may increase team collaboration efficiency and management level while reducing data redundancy and inconsistencies. Personnel information sharing can also promote communication and cooperation in enterprises, and overall operation efficiency is improved.
Secondly, the information quality of personnel is improved. The system can ensure the accuracy and the integrity of personnel information, and compared with other nationwide companies which utilize word and excel to perform data statistics and work arrangement, the system can realize functions of data cleaning, standardization, verification and the like, and improve the quality and the consistency of personnel information. Meanwhile, the mechanism can also prevent redundancy and inaccuracy of personnel information and ensure the credibility and reliability of data.
Furthermore, the system can be monitored and updated in real time. In order to respond to changes and processing of personnel information in time. The system can realize the real-time updating, monitoring and management of personnel information and ensure the timeliness and accuracy of data. Meanwhile, the reliability and the safety of management can be improved by real-time monitoring and updating, and inconsistency and errors of data are prevented. Visual report and analysis: through visual report forms and analysis, various report forms and analysis charts can be generated, and users can be helped to intuitively know the distribution, trend and association relation of personnel information. The accuracy and efficiency of decision making can be improved through visual report forms and analysis, and meanwhile, the management and decision making requirements of enterprises are met.
Finally, cross-platform compatibility is achieved. In order to meet the requirements of different users and devices, the cross-platform personnel information management system can run stably and smoothly on various operating systems and devices, and user experience and working efficiency are improved. Cross-platform compatibility can reduce development and maintenance costs while meeting the needs and habits of different users.
The data processing method in the embodiment of the present application is described above, and the computer device in the embodiment of the present application is described below, referring to fig. 3, an embodiment of the computer device in the embodiment of the present application includes:
the acquisition unit is used for acquiring data shared by a plurality of devices based on connection with the plurality of devices to obtain a data set to be analyzed; the plurality of devices are deployed at different geographic locations;
the processing unit is used for processing and analyzing the data set according to a preset data analysis program to obtain a data analysis result;
the sending unit is used for receiving a data analysis result request sent by target equipment and responding to the data analysis result request to send the data analysis result to the target equipment;
and the display unit is used for displaying the data analysis result to a user.
In a preferred implementation manner of this embodiment, the processing unit is specifically configured to:
and processing and analyzing the data set according to a preset data analysis rule engine to obtain the data analysis result.
In a preferred implementation manner of this embodiment, the sending unit is specifically configured to:
encrypting the data analysis result by using a preset encryption algorithm to obtain encrypted data;
and sending the encryption processing data to the target equipment.
In a preferred implementation manner of this embodiment, the sending unit is specifically configured to:
checking the data analysis result request according to a preset access control rule to determine whether the data analysis result request is legal or not;
and if yes, sending the data analysis result to the target equipment.
In a preferred implementation of this embodiment, the processing unit is further configured to:
acquiring service data of an organization where the plurality of devices are located, and updating the data set according to the service data;
and processing and analyzing the updated data set according to a preset data analysis program to obtain an updated version of the data analysis result.
In this embodiment, the operations performed by the units in the computer device are similar to those described in the embodiment shown in fig. 2, and will not be described here again.
The method comprises the steps that computer equipment obtains data shared by a plurality of devices based on connection with the plurality of devices, and a data set to be analyzed is obtained; the data analysis method comprises the steps that a plurality of devices are deployed at different geographic positions, a data set is processed and analyzed according to a preset data analysis program, a data analysis result is obtained, a data analysis result request sent by target devices is received, the data analysis result request is responded, the data analysis result is sent to the target devices, and the data analysis result is displayed to users. Therefore, the data collection efficiency and the data analysis efficiency can be improved, powerful data support is provided for the practical application of the data analysis result, the labor and material resources are saved, and the operability of data management is improved.
With reference to fig. 4, an embodiment of a computer device in the embodiment of the present application includes:
the computer device 400 may include one or more central processing units (central processing units, CPU) 401 and a memory 405, with one or more application programs or data stored in the memory 405.
Wherein the memory 405 may be volatile storage or persistent storage. The program stored in memory 405 may include one or more modules, each of which may include a series of instruction operations in a computer device. Still further, the central processor 401 may be arranged to communicate with the memory 405, executing a series of instruction operations in the memory 405 on the computer device 400.
The computer device 400 may also include one or more power supplies 402, one or more wired or wireless network interfaces 403, one or more input/output interfaces 404, and/or one or more operating systems, such as Windows ServerTM, mac OS XTM, unixTM, linuxTM, freeBSDTM, etc.
The cpu 401 may perform the operations performed by the computer device in the embodiment shown in fig. 2, and will not be described herein.
Embodiments of the present application also provide a computer storage medium, where one embodiment includes: the computer storage medium has stored therein instructions which, when executed on a computer, cause the computer to perform the operations performed by the computer device in the embodiment shown in fig. 2 described above.
Embodiments of the present application also provide a computer program product, one of which includes: the computer program product, when run on a computer device, causes the computer device to perform the operations performed by the computer device in the embodiment shown in fig. 2 described above.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (RAM, random access memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Claims (10)
1. A data processing method, the method being applied to a computer device, the method comprising:
based on the connection with a plurality of devices, acquiring data shared by the plurality of devices to obtain a data set to be analyzed; the plurality of devices are deployed at different geographic locations;
processing and analyzing the data set according to a preset data analysis program to obtain a data analysis result;
receiving a data analysis result request sent by target equipment, responding to the data analysis result request, and sending the data analysis result to the target equipment;
and displaying the data analysis result to a user.
2. The method according to claim 1, wherein the processing and analyzing the data set according to a preset data analysis program to obtain a data analysis result includes:
and processing and analyzing the data set according to a preset data analysis rule engine to obtain the data analysis result.
3. The method of claim 1, wherein the sending the data analysis result to the target device comprises:
encrypting the data analysis result by using a preset encryption algorithm to obtain encrypted data;
and sending the encryption processing data to the target equipment.
4. The method of claim 1, wherein the sending the data analysis result to the target device comprises:
checking the data analysis result request according to a preset access control rule to determine whether the data analysis result request is legal or not;
and if yes, sending the data analysis result to the target equipment.
5. The method according to claim 1, wherein the method further comprises:
acquiring service data of an organization where the plurality of devices are located, and updating the data set according to the service data;
and processing and analyzing the updated data set according to a preset data analysis program to obtain an updated version of the data analysis result.
6. A computer device, the computer device comprising:
the acquisition unit is used for acquiring data shared by a plurality of devices based on connection with the plurality of devices to obtain a data set to be analyzed; the plurality of devices are deployed at different geographic locations;
the processing unit is used for processing and analyzing the data set according to a preset data analysis program to obtain a data analysis result;
the sending unit is used for receiving a data analysis result request sent by target equipment and responding to the data analysis result request to send the data analysis result to the target equipment;
and the display unit is used for displaying the data analysis result to a user.
7. The computer device according to claim 6, wherein the processing unit is specifically configured to:
and processing and analyzing the data set according to a preset data analysis rule engine to obtain the data analysis result.
8. The computer device according to claim 6, wherein the sending unit is specifically configured to:
encrypting the data analysis result by using a preset encryption algorithm to obtain encrypted data;
and sending the encryption processing data to the target equipment.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the method of any of claims 1 to 5 when executing the computer program.
10. A computer storage medium having instructions stored therein, which when executed on a computer, cause the computer to perform the method of any of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410074059.9A CN117893169A (en) | 2024-01-18 | 2024-01-18 | Data processing method, computer device and computer storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410074059.9A CN117893169A (en) | 2024-01-18 | 2024-01-18 | Data processing method, computer device and computer storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117893169A true CN117893169A (en) | 2024-04-16 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410074059.9A Withdrawn CN117893169A (en) | 2024-01-18 | 2024-01-18 | Data processing method, computer device and computer storage medium |
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| Country | Link |
|---|---|
| CN (1) | CN117893169A (en) |
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2024
- 2024-01-18 CN CN202410074059.9A patent/CN117893169A/en not_active Withdrawn
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Application publication date: 20240416 |