CN116681410A - Human resource data management system and management method based on cloud computing - Google Patents
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Abstract
The application discloses a human resource data management system and a human resource data management method based on cloud computing, and particularly relates to the technical field of cloud computing, comprising the following steps: s1, acquiring basic information data through input information of a user operation interface staff; s2, analyzing the data of the incumbent staff, setting a performance assessment index system of a corresponding working stage, and classifying the staff; s3, generating pre-job-leaving information of the ready-job-leaving staff, and performing approval to generate a job-leaving report; s4, the module sends investigation reports to each department of the enterprise, and a training requirement report of the enterprise is formulated according to the requirements; s5, researching the requirement conditions of the internal posts of the enterprise, and making a recruitment plan; s6, the system comprises a management data table unit, a personnel data table unit, a performance data table unit and a post information data unit. The application builds a human resource data management system based on cloud computing, and the system can realize management of functions such as performance, basic information, compensation, off-duty and the like of staff.
Description
Technical Field
The application relates to the technical field of cloud computing, in particular to a human resource data management system and a human resource data management method based on cloud computing.
Background
The rapid development of the internet brings modern enterprises into an informatization era, in the era of Internet economy and knowledge economy interweaving, competition among enterprises and industries is continuously aggravated, competition contents are gradually thinned to human-to-human competition, advantages in human resources become important conditions for enterprise win, and under the background, modern enterprises need to integrate human dominant resources through all means, attract and hold talents, and for enterprises in a growing period, complicated human resource management works such as recruitment, performance assessment, payroll management and the like are often involved, and contradictions existing between the lag of management concepts and the dispersion of a large amount of human resource data seriously affect the operation quality and efficiency of the enterprises.
The existing human resource management system still stays at the basic data collection, storage and query level, wherein few data analysis functions can only obtain static information of some surface layers, a series of dynamic information such as the development capability of the enterprise itself which is continuously changed, the quality level of the staff of the enterprise which is continuously changed and the like are difficult to deeply mine, the core data value of the human resource management system is not effectively exerted, and scientific assistance is difficult to provide for the long-term development of the enterprise.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, embodiments of the present application provide a human resource data management system and management method based on cloud computing, which solve the problems set forth in the above-mentioned background art through a data analysis module.
In order to achieve the above purpose, the present application provides the following technical solutions: the system comprises a data acquisition module, a data analysis module, an employee management module, a training management module, a recruitment management module and a database module, wherein the data acquisition module acquires basic information data through input information of employees of a user operation interface, the data analysis module analyzes all the employee data in progress, sets a performance assessment index system and an index assessment scheme of corresponding working stages, classifies the employees, the employee management module generates pre-departure information for preparing the employees in departure, formulates an departure investigation report, approves the report and generates the departure report, the training management module sends investigation reports to each department of an enterprise, investigates training requirements of each department, formulates training requirement reports of the enterprise according to the requirements, the recruitment management module investigates the conditions of the internal post requirements of the enterprise, formulates the management department for approval, and formulates a recruitment plan after the completion of the investigation, and the database module comprises a management data table unit, a personnel data table unit and a position information data unit.
In a preferred embodiment, the data acquisition module constructs a user operation interface at the employee client, performs preliminary examination and verification on the input information of the employee, eliminates obvious errors, performs automatic examination on the system after submitting the employee data, and stores the employee data in a relational database.
In a preferred embodiment, the data analysis module analyzes all employee data in job, sets a performance assessment index system and an index assessment scheme in a corresponding working stage, classifies all employee data, uses post information, age and gender as initial classification standards, uses the performance of the employee as classification standards, carries out performance assessment according to the attendance data and the work business data of the employee, judges that the attribute of the employee is excellent, good, and has the same grade as that of the employee, and judges that the performance of the employee is a random event according to the performance assessment, and the conditional probability calculation formula about the random event is as follows:
wherein P (N) represents the edge probability of the event N, the probability of the event N occurs under the premise of not considering other factors, P (N|Y) represents the probability of the event Y occurring after the event N is known to occur, and the class of the posterior probability can be obtained as the standard of the classification of the incumbent staff in the system through calculation, and the specific class judging formula is as follows:
wherein, P (n) can be regarded as a simple constant term, and all conditions of all attribute characteristics are satisfied and mutually independent, P (y/n) represents the whole section of the whole incumbent employee classification, and the attribute type of the employee can be judged according to the size of the data on the premise of obtaining the final data.
In a preferred embodiment, the staff management module mainly comprises a staff information management unit, a staff departure management unit, a labor contract management unit and a staff allocation management unit, and the specific operation steps of the staff management module are as follows:
s301, generating pre-job leaving information of staff ready for job leaving in a module, wherein the information comprises the post category of the staff and related information;
s302, making staff leave investigation reports in a staff management module to know staff leave reasons;
s303, uploading the report to the leader of the staff for approval;
s304, generating an employee job leaving handover report, and ensuring that the work responsibility of the employee can be continued after the employee leaves.
In a preferred embodiment, the training management module sends investigation reports to each department of the enterprise, the investigation demands of each department are studied, the training demand reports of the enterprise are formulated according to the demands, the training reports are uploaded to the enterprise management department for auditing, a detailed training plan is formulated after the auditing passes, training content, targets, cost and time place information are contained in the training plan, centralized training teaching is conducted on staff to be trained according to the training plan, examination is conducted after training is finished to determine training effects, and staff posts are exchanged according to staff training assessment results.
In a preferred embodiment, the recruitment management module investigates the requirement conditions of the internal posts of the enterprise, formulates a report of the human requirement and reports the report to the management department for approval, formulates a recruitment plan after the approval is completed, and issues recruitment information to societyThe information at least comprises post deficiency information, recruitment examination requirements, recruitment time and recruitment sites, personnel departments conduct social personnel recruitment screening according to recruitment plans, determine a list of personnel to be recruited, convert resume information of the social personnel into a vector feature, obtain talent grade features of the social personnel through calculation, set definition type of two resume, and define two feature vectors as A= (a) respectively 1 ,a 2 ,a 3 ) B= (B) 1 ,b 2 ,b 3 ) And calculating the Euclidean distance between A and B according to the feature vector, wherein the calculation formula is as follows:
wherein (a) 1 ,a 2 ,a 3 ) (b) 1 ,b 2 ,b 3 ) The characteristic attribute of the talent rank vector of the social personnel can be judged, the initial rank of the social personnel can be obtained through calculation, the evaluated value is recorded in the file, and the distance functions of the two social personnel resume can be expressed by the following formula:
wherein f (A, B) represents a relationship function between the archive A and the archive B, namely the similarity between the archive A and the archive B, S (A, B, C) represents the talent level of the social personnel, C i Representing similarity assignment weights.
In a preferred embodiment, the database module system mainly comprises a management data table unit, a personnel data table unit, a performance data table unit and a post information data unit, wherein the management data table comprises the following components: the staff management system is mainly used for storing the post information, the level information and the like of staff to determine whether the staff is a company management staff or not, and a personnel data table is formed: the method is mainly used for storing the basic information of the staff and specifically comprises the following steps: employee job number, identity card information and family condition information, the data sheet can be called by all the functional modules, and the performance data sheet is as follows: the system is mainly used for storing attendance information, performance information and salary information of staff, and a post information data table: the recruitment management module of the system can be called in real time to make a recruitment plan.
In a preferred embodiment, the method specifically comprises the following steps:
s1, acquiring basic information data through input information of a user operation interface staff;
s2, analyzing the data of the incumbent staff, setting a performance assessment index system and an index assessment scheme of the corresponding working stage, and classifying the staff;
s3, generating pre-job-leaving information of the ready-job-leaving staff, making a job-leaving investigation report, and approving the report to generate a job-leaving report;
s4, the module sends investigation reports to each department of the enterprise, the training requirements of each department are investigated, and the training requirement reports of the enterprise are formulated according to the requirements;
s5, researching the internal post demand condition of the enterprise, making a human demand report, reporting the report to a management department for approval, and making a recruitment plan after the approval is finished;
s6, the system comprises a management data table unit, a personnel data table unit, a performance data table unit and a post information data unit. The application has the technical effects and advantages that:
1. according to the cloud computing platform-based human resource management system, the human resource data management system is built based on cloud computing, the management of functions such as performance, basic information, compensation and off-duty of staff can be achieved, and particularly, a database designed based on the cloud computing platform not only can provide an efficient and low-cost platform for human resource management work of a company, but also can guide and monitor the human resource management work of the company, so that the enterprise competitiveness is further improved;
2. the personnel data table is mainly used for storing basic information of staff, and specifically comprises the following steps: employee job number, identity card information and family condition information, the data sheet can be called by all the functional modules, and the performance data sheet is as follows: the system is mainly used for storing attendance information, performance information and salary information of staff, and a post information data table: the recruitment management module of the system can be called in real time to make a recruitment plan.
Drawings
FIG. 1 is a flow chart of the system of the present application.
Fig. 2 is a block diagram of the system architecture of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
The embodiment provides a human resource data management method based on cloud computing as shown in fig. 1, which specifically comprises the following steps:
s1, acquiring basic information data through input information of a user operation interface staff;
s2, analyzing the data of the incumbent staff, setting a performance assessment index system and an index assessment scheme of the corresponding working stage, and classifying the staff;
s3, generating pre-job-leaving information of the ready-job-leaving staff, making a job-leaving investigation report, and approving the report to generate a job-leaving report;
s4, the module sends investigation reports to each department of the enterprise, the training requirements of each department are investigated, and the training requirement reports of the enterprise are formulated according to the requirements;
s5, researching the internal post demand condition of the enterprise, making a human demand report, reporting the report to a management department for approval, and making a recruitment plan after the approval is finished;
s6, the system comprises a management data table unit, a personnel data table unit, a performance data table unit and a post information data unit.
The embodiment of fig. 2 provides a human resource data management system based on cloud computing, which comprises a data acquisition module, a data analysis module, an employee management module, a training management module, a recruitment management module and a database module, wherein the data acquisition module acquires basic information data through input information of employees of a user operation interface, the data analysis module analyzes all the employee data in progress, sets a performance assessment index system and an index assessment scheme in a corresponding working stage, classifies the employees, the employee management module generates pre-departure information for preparing the employee in progress, prepares an departure investigation report, examines the report, generates an departure report, sends the training management module to each department of an enterprise, inquires training requirements of each department, reports the training requirements of the enterprise according to the requirements, the recruitment management module inquires the internal post requirement conditions of the enterprise, formulates the management departments on the manpower requirement report, formulates a recruitment plan after approval, and the database module comprises a management data table unit, a personnel table data unit and a performance information unit.
101. Collecting basic information data through input information of a user operation interface staff;
in this embodiment, a specific description is provided of the data acquisition module, where the data acquisition module constructs a user operation interface at the employee client, performs preliminary examination and verification on the input information of the employee, eliminates obvious errors, and automatically examines the system after submitting the employee data, and stores the employee data in the database.
102. Analyzing the data of the incumbent staff, setting a performance assessment index system and an index assessment scheme of the corresponding work stage, and classifying the staff;
in this embodiment, a specific description is provided about a data analysis module, where the data analysis module analyzes all employee data in progress, sets a performance assessment index system and an index assessment scheme in a corresponding working stage, classifies all employee data, uses post information, age and gender as initial classification standards, uses the performance of an employee as classification standards, performs performance assessment according to the attendance data and work business data of the employee, determines that the attribute of the employee is excellent, good, and not good according to the performance assessment, and the performance of the employee is a random event, and the conditional probability calculation formula about the random event is as follows:
wherein P (N) represents the edge probability of the event N, the probability of the event N occurs under the premise of not considering other factors, P (N|Y) represents the probability of the event Y occurring after the event N is known to occur, and the class of the posterior probability can be obtained as the standard of the classification of the incumbent staff in the system through calculation, and the specific class judging formula is as follows:
wherein, P (n) can be regarded as a simple constant term, and all conditions of all attribute characteristics are satisfied and mutually independent, P (y/n) represents the whole section of the whole incumbent employee classification, and the attribute type of the employee can be judged according to the size of the data on the premise of obtaining the final data.
103. Generating pre-job-leaving information of the prepared job-leaving staff, formulating a job-leaving investigation report, and approving the report to generate a job-leaving report;
in this embodiment, a specific explanation is an employee management module, where the employee management module mainly includes an employee information management unit, an employee departure management unit, a labor contract management unit, and an employee allocation management unit, and the specific operation steps of the employee management module are as follows:
s301, generating pre-job leaving information of staff ready for job leaving in a module, wherein the information comprises the post category of the staff and related information;
s302, making staff leave investigation reports in a staff management module to know staff leave reasons;
s303, uploading the report to the leader of the staff for approval;
s304, generating an employee job leaving handover report, and ensuring that the work responsibility of the employee can be continued after the employee leaves.
S304, the module sends investigation reports to each department of the enterprise, the training requirements of each department are investigated, and the training requirement reports of the enterprise are formulated according to the requirements;
in this embodiment, a specific description is provided for a training management module, where the training management module sends an investigation report to each department of an enterprise, investigates the training requirements of each department, formulates a training requirement report of the enterprise according to the requirements, uploads the training report to the enterprise management department for auditing, formulates a detailed training plan after the auditing passes, and includes training content, targets, cost and time place information.
105. Investigation is conducted on the internal post demand condition of the enterprise, a manpower demand report is formulated and reported to a management department for approval, and a recruitment plan is formulated after the approval is completed;
in this embodiment, a recruitment management module is specifically required to be described, where the recruitment management module investigates the situation of post requirements in an enterprise, formulates a human requirement report and reports the approval to a management department, formulates a recruitment plan after the approval is completed, issues recruitment information to society, where the information at least includes post deficiency information, recruitment examination requirements, recruitment time and recruitment place, and the personnel department performs social personnel recruitment screening according to the recruitment plan, determines a list of personnel for recruitment, converts the resume information of the social personnel into a segment of vector features, calculates personnel level features of the social personnel, sets definition of two resume, and defines two feature vectors as a= (a) respectively 1 ,a 2 ,a 3 ) B= (B) 1 ,b 2 ,b 3 ) And calculating the Euclidean distance between A and B according to the feature vector, wherein the calculation formula is as follows:
wherein (a) 1 ,a 2 ,a 3 ) (b) 1 ,b 2 ,b 3 ) The characteristic attribute of the talent rank vector of the social personnel can be judged, the initial rank of the social personnel can be obtained through calculation, the evaluated value is recorded in the file, and the distance functions of the two social personnel resume can be expressed by the following formula:
wherein f (A, B) represents a relationship function between the archive A and the archive B, namely the similarity between the archive A and the archive B, S (A, B, C) represents the talent level of the social personnel, C i Representing similarity assignment weights.
106. The system comprises a management data table unit, a personnel data table unit, a performance data table unit and a post information data unit;
in this embodiment, a database module is specifically described, where the database module system mainly includes a management data table unit, a personnel data table unit, a performance data table unit, and a post information data unit, where the management data table is as follows: the staff management system is mainly used for storing the post information, the level information and the like of staff to determine whether the staff is a company management staff or not, and a personnel data table is formed: the method is mainly used for storing the basic information of the staff and specifically comprises the following steps: employee job number, identity card information and family condition information, the data sheet can be called by all the functional modules, and the performance data sheet is as follows: the system is mainly used for storing attendance information, performance information and salary information of staff, and a post information data table: the recruitment management module of the system can be called in real time to make a recruitment plan.
The formula in the application is a formula which is obtained by removing dimension and taking the numerical calculation, and is closest to the actual situation by acquiring a large amount of data and performing software simulation, and the preset proportionality coefficient in the formula is set by a person skilled in the art according to the actual situation or is obtained by simulating the large amount of data.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired means from one website site, computer, server, or data center. Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc. that contain one or more collections of available media. The usable medium may be a magnetic medium, an optical medium, or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
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, and are not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. 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 forms.
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 the embodiments 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 foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the application are intended to be included within the scope of the application.
Claims (10)
1. Human resource data management system based on cloud computing, its characterized in that: the system comprises a data acquisition module, a data analysis module, an employee management module, a training management module, a recruitment management module and a database module, wherein the data acquisition module acquires basic information data through input information of employees of a user operation interface, the data analysis module analyzes all the employee data in progress, sets a performance assessment index system and an index assessment scheme of corresponding working stages, classifies the employees, the employee management module generates pre-departure job information of preparing the employee in departure, formulates an departure job investigation report, approves the report and generates the departure job report, the training management module sends investigation reports to each department of an enterprise, investigates training requirements of each department and formulates training requirement reports of the enterprise according to the requirements, the recruitment management module performs investigation on the conditions of the internal post of the enterprise, formulates a management department examination and approval, and the database module comprises a management data table unit, a personnel data table unit and a performance data table unit after examination and approval are completed.
2. The cloud computing-based human resources data management system of claim 1, wherein: the data acquisition module constructs a user operation interface on the employee client, performs preliminary examination and verification on the input information of the employee, eliminates obvious errors, performs automatic examination on the system after the employee data is submitted, and stores the stored employee data in the relational database.
3. The cloud computing-based human resources data management system of claim 1, wherein: the data analysis module analyzes all employee data in progress, sets a performance assessment index system and an index assessment scheme in a corresponding working stage, classifies all employee data, takes post information, age and gender as initial classification standards, takes the performance of the employees as classification standards, carries out performance assessment according to the attendance data and the working business data of the employees, the performance of the employees is a random event, and the conditional probability calculation formula about the random event is as follows:
wherein P (N) represents the edge probability of the event N, the probability of the event N occurs under the premise of not considering other factors, P (N|Y) represents the probability of the event Y occurring after the event N occurs with known occurrence probability, and the class of the posterior probability can be obtained as the standard of the classification of the incumbent staff in the system through calculation.
4. The cloud computing-based human resources data management system of claim 3, wherein: the specific category determination formula is as follows:
wherein, P (n) can be regarded as a simple constant term, and all conditions of all attribute characteristics are satisfied and mutually independent, P (y/n) represents the whole section of the whole incumbent employee classification, and the attribute type of the employee can be judged according to the size of the data on the premise of obtaining the final data.
5. The cloud computing-based human resources data management system of claim 1, wherein: the employee management module comprises the following specific operation steps:
s301, generating pre-job leaving information of staff ready for job leaving in a module, wherein the information comprises the post category of the staff and related information;
s302, making staff leave investigation reports in a staff management module to know staff leave reasons;
s303, uploading the report to the leader of the staff for approval;
s304, generating an employee job leaving handover report, and ensuring that the work responsibility of the employee can be continued after the employee leaves.
S304, the module sends investigation reports to each department of the enterprise, the training requirements of each department are investigated, and the training requirement reports of the enterprise are formulated according to the requirements.
6. The cloud computing-based human resources data management system of claim 1, wherein: the training management module sends investigation reports to each department of the enterprise, the training requirements of each department are studied, the training requirement reports of the enterprise are formulated according to the requirements, the training reports are uploaded to the enterprise management department for auditing, and detailed training plans are formulated after the auditing passes.
7. The cloud computing-based human resources data management system of claim 1, wherein: the recruitment management module investigates the conditions of the internal post demands of enterprises, formulates a human demand report and reports the approval of the management department, formulates a recruitment plan after the approval is finished, issues recruitment information to society to convert resume information of social personnel into a vector feature, obtains talent grade features of the social personnel through calculation, sets definition type of two resume types, and respectively defines two feature vectors as A= (a) 1 ,a 2 ,a 3 ) B= (B) 1 ,b 2 ,b 3 ) And calculating the Euclidean distance between A and B according to the feature vector, wherein the calculation formula is as follows:
wherein (a) 1 ,a 2 ,a 3 ) (b) 1 ,b 2 ,b 3 ) The characteristic attribute of the talent rank vector of the social personnel can be judged, the initial rank of the social personnel can be obtained through calculation, and the evaluated value is recorded in the file.
8. The cloud computing-based human resources data management system of claim 7, wherein: the distance function of the two social person resumes can be expressed by the following formula:
wherein f (A, B) represents a relationship function between the archive A and the archive B, namely the similarity between the archive A and the archive B, S (A, B, C) represents the talent level of the social personnel, C i Representing similarity assignment weights.
9. The cloud computing-based human resources data management system of claim 1, wherein: the database module system mainly comprises a management data table unit, a personnel data table unit, a performance data table unit and a post information data unit, wherein the management data table comprises: the staff management system is mainly used for storing the post information, the level information and the like of staff to determine whether the staff is a company management staff or not, and a personnel data table is formed: the method is mainly used for storing the basic information of the staff and specifically comprises the following steps: employee job number, identity card information and family condition information, the data sheet can be called by all the functional modules, and the performance data sheet is as follows: the system is mainly used for storing attendance information, performance information and salary information of staff, and a post information data table: the recruitment management module of the system can be called in real time to make a recruitment plan.
10. The cloud computing-based human resource data management system applied to the cloud computing-based human resource data management method as set forth in any one of claims 1 to 9, wherein: the method specifically comprises the following steps of:
s1, acquiring basic information data through input information of a user operation interface staff;
s2, analyzing the data of the incumbent staff, setting a performance assessment index system and an index assessment scheme of the corresponding working stage, and classifying the staff;
s3, generating pre-job-leaving information of the ready-job-leaving staff, making a job-leaving investigation report, and approving the report to generate a job-leaving report;
s4, the module sends investigation reports to each department of the enterprise, the training requirements of each department are investigated, and the training requirement reports of the enterprise are formulated according to the requirements;
s5, researching the internal post demand condition of the enterprise, making a human demand report, reporting the report to a management department for approval, and making a recruitment plan after the approval is finished;
s6, the system comprises a management data table unit, a personnel data table unit, a performance data table unit and a post information data unit.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117196237A (en) * | 2023-09-19 | 2023-12-08 | 武汉盟游网络科技有限公司 | Information management method and device based on cloud computing |
| CN117853079A (en) * | 2024-01-08 | 2024-04-09 | 北京中友科技有限公司 | Personnel information management system, method and device for power industry |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117196237A (en) * | 2023-09-19 | 2023-12-08 | 武汉盟游网络科技有限公司 | Information management method and device based on cloud computing |
| CN117853079A (en) * | 2024-01-08 | 2024-04-09 | 北京中友科技有限公司 | Personnel information management system, method and device for power industry |
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