A human resources service system based on artificial intelligence

Abstract

The present invention relates to the field of human resource service technology, specifically a human resource service system based on artificial intelligence, including a cloud processing server, and the periphery of the cloud processing server is respectively provided with a personal information module, a data input module, a database, an employment unit information module, a data analysis module, a data matching module and a data recommendation module, and the data analysis module includes an information release module, a data screening module, a recruitment interview module, an entry management module and a file management module. By collecting personal information, employment unit information and database information, the present invention can quickly match a suitable unit when seeking employment, can quickly match the corresponding manpower when the enterprise selects talents, and make recommendations in combination with personal social security and credit information, so as to facilitate the judgment of whether the relevant talents are in the unemployed stage, reduce the difficulty of selecting talents for enterprises, optimize human resource management, and improve the employment rate and human resource utilization rate.

Description

Technical Field

[0001] The present invention relates to the technical field of human resources, and in particular to a human resources service system based on artificial intelligence. Background Art

[0002] Human resources refer to the sum of the population of working age, under working age, and over working age but capable of working in a country or region, or can be expressed as: the population of a country or region minus the population that has lost its ability to work. Human resources also refer to the education, ability, skills, experience, physical strength, etc. possessed by people in an organization within a certain period of time that can be used by the enterprise and contribute to value creation. In a narrow sense, it refers to the ability (resources) required by the personnel of independent business groups of enterprises and institutions. Human resources, also known as labor resources or labor, refer to the total population with working ability that can promote the development of the entire economy and society. Economics refers to all factors invested in production activities to create material wealth as resources, including human resources, material resources, financial resources, information resources, time resources, etc. Among them, human resources are the most valuable resource of all resources and the first resource. Human resources include two aspects: quantity and quality. The most basic aspects of human resources include physical strength and intelligence. From the perspective of actual application, they include four aspects: physique, intelligence, knowledge, and skills. Human resources, like other resources, are also idiosyncratic, available, and limited.

[0003] The existing patent, with announcement number CN108900801A, discloses a video surveillance method, system and cloud server based on artificial intelligence, wherein the video surveillance method based on artificial intelligence is applied to a cloud server, and the cloud server is connected to a network camera. The method includes: pre-establishing a video detection anomaly model, obtaining video data collected by the network camera, and detecting whether the video data collected by the network camera is abnormal according to the video detection anomaly model. If an abnormality is detected in the video data collected by the network camera, performing an exception processing. Through the above method, the embodiment of the present invention can solve the technical problems that the current video surveillance cannot actively detect abnormal situations, security warnings are insufficient and human resources are wasted.

[0004] Although the above application, through the above method, the embodiment of the present invention can solve the technical problems that the current video surveillance cannot actively detect abnormal situations, security warnings are insufficient and human resources are wasted, but in actual application, it is inconvenient to select talents and optimize human resource management, which reduces the employment rate and human resource utilization rate, affecting the normal use of the system.

[0005] In view of this, the present invention proposes a human resources service system based on artificial intelligence to solve the above problems. Summary of the invention

[0006] In view of the shortcomings of the prior art, the purpose of the present invention is to propose a human resources service system based on artificial intelligence, which has the advantages of facilitating talent selection and optimizing human resources management, and solves the problems of inconvenience in talent selection, optimizing human resources management, reducing employment rate and human resources utilization rate, and affecting the normal use of the system.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A human resources service system based on artificial intelligence includes a cloud processing server, and the periphery of the cloud processing server is respectively provided with a personal information module, a data input module, a database, an employment unit information module, a data analysis module, a data matching module and a data recommendation module.

[0009] The data analysis module includes an information release module, a data screening module, a recruitment interview module, an onboarding management module and a file management module.

[0010] The personal information module is bidirectionally connected to the cloud processing server, the output end of the data input module is signal-connected to the input end of the cloud processing server, the database is bidirectionally connected to the cloud processing server, the data analysis module is bidirectionally connected to the cloud processing server, the output end of the cloud processing server is signal-connected to the input end of the data matching module, the output end of the data matching module is signal-connected to the input end of the data recommendation module, and the cloud processing server is bidirectionally connected to the employment unit information module through a bidirectionally connected data comparison module.

[0011] The information release module is bidirectionally connected to the data analysis module, the data screening module is bidirectionally connected to the information release module, the recruitment interview module is bidirectionally connected to the data screening module, the on-the-job management module is bidirectionally connected to the recruitment interview module, and the file management module is bidirectionally connected to the on-the-job management module.

[0012] As a preferred technical solution, the personal information module includes an identity information data module, an education background data module, a professional information module and a work experience information module, and the identity information data module, the education background data module, the professional information module and the work experience information module are all bidirectionally connected to the cloud processing server.

[0013] As a preferred technical solution, the database includes a length of service database, social security information data and social credit data, which are used to manage and record the length of service, social security information data and social credit data respectively. The length of service database, social security information data and social credit data are bidirectionally connected to the cloud processing server respectively.

[0014] As a preferred technical solution, the employment unit information includes employee information, work performance data analysis and enterprise information data repository, and the employee information, work performance data analysis and enterprise information data repository are respectively bidirectionally connected to the data comparison module.

[0015] As a preferred technical solution, the data comparison module can compare the data within the recruitment requirements through the set recruitment requirements. If the compared data contains information that meets the recruitment requirements, the information is fed back to the cloud processing server after data comparison, and then fed back to the data analysis module for analysis.

[0016] As a preferred technical solution, the data input module adopts an analog input module, which is a device that collects analog signals from a remote site into a computer. It uses the RS-485 bus as a data communication line and provides an analog-to-485 function. It can simultaneously input analog quantities into the module and transmit them to the computer through the RS-485 bus. Since the RS-485 interface is used as a communication interface, it can combine multiple modules to transmit more analog signals, and can be dispersedly configured on the 485 line, distinguished by address codes, and can be directly connected to the configuration software of the MODBUS RTU protocol. The analog quantity represents any value that changes continuously within a certain range, which is a state representation opposite to the digital quantity. Usually, the analog quantity is used to collect and represent parameters such as voltage, current or frequency of things. The analog input module is an intelligent module that can collect analog quantities (such as voltage, current, thermocouples, thermal resistors, temperature and other values) and transmit them to the computer through the 485 bus. Its communication protocol adopts the MODBUS RTU protocol, which realizes unified docking with industrial field data acquisition and is also very convenient to program.

[0017] As a preferred technical solution, the personal information module allows users to view personal information of new employees after logging in. Here, users can view their personal user name, authority level, current date, last login time, number of logins, and can perform safe logout operations. In the personal information display module, user information is queried from the user information table based on the user ID stored in the SESSION variable, and the user information is output on the page.

[0018] As the preferred technical solution, the database is a warehouse that organizes, stores and manages data according to the data structure. From the simplest table storing various data to the large database system capable of storing massive data, it has been widely used in various aspects. The database is a general data processing system for a unit or an application field. It stores a collection of relevant data belonging to enterprises and business departments, groups and individuals. The data in the database is established from a global perspective and is organized, described and stored according to a certain data model. Its structure is based on the natural connection between data, so as to provide all necessary access paths, and the data is no longer targeted at a certain application, but is oriented to the entire organization and has an overall structured feature.

[0019] As the preferred technical solution, the cloud processing server is to virtualize multiple parts similar to independent servers on a group of cluster servers. Each server in the cluster has a mirror of the cloud server, which greatly improves the security and stability of the virtual server. Unless all the servers in the cluster have problems, the cloud server will be inaccessible. The cloud server is a WEB service-based elastic cloud technology that provides adjustable cloud host configuration, integrates Iaas services of computing, storage and network resources, and has the ability to use on demand and pay on demand. It has greatly improved flexibility, controllability, scalability and resource reuse.

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] 1. The present invention collects personal information, employment unit information and database information, so that it can quickly match with suitable units when seeking employment, and can also quickly match with corresponding manpower when enterprises select talents, and make recommendations based on personal social security and credit information to facilitate judgment on whether relevant talents are unemployed, thereby reducing the difficulty of talent selection for enterprises, optimizing human resource management, and improving employment rate and human resource utilization rate, which is worthy of promotion and application.

[0022] 2. Through data analysis, the present invention enables rapid screening of data after information release, thereby conducting recruitment interviews and subsequently onboarding management. Subsequent data can be managed in the archive management module, thereby facilitating automatic archiving of information on employed personnel and improving the ease of use of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a schematic diagram of the principle structure of the system of the present invention;

[0024] Figure 2 Schematic diagram of the system principle structure of data analysis of the present invention. DETAILED DESCRIPTION

[0025] The embodiments of the present invention 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. In the description of the present invention, it should be understood that the orientation or position relationship indicated by the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", etc. is based on the orientation or position relationship shown in the accompanying drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. In addition, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "multiple" is two or more, and the meaning of "several" is one or more, unless otherwise clearly and specifically defined.

[0026] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, an electrical connection, or mutual communication; it can be a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0027] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may include that the first and second features are in direct contact, or may include that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, a first feature being "above", "above" and "above" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. A first feature being "below", "below" and "below" a second feature includes that the first feature is directly below and obliquely below the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0028] The disclosure below provides many different embodiments or examples to realize different structures of the present invention. In order to simplify the disclosure of the present invention, the parts and settings of specific examples are described below. Of course, they are only examples, and the purpose is not to limit the present invention. In addition, the present invention can repeat reference numbers and / or reference letters in different examples, and this repetition is for the purpose of simplicity and clarity, which itself does not indicate the relationship between the various embodiments and / or settings discussed. In addition, the present invention provides various specific examples of processes and materials, but those of ordinary skill in the art can be aware of the application of other processes and / or the use of other materials.

[0029] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0030] According to the attached Figure 1-2 As shown, an embodiment of the present invention provides an artificial intelligence-based human resources service system, including a cloud processing server, and the periphery of the cloud processing server is respectively provided with a personal information module, a data input module, a database, an employment unit information module, a data analysis module, a data matching module and a data recommendation module.

[0031] The data analysis module includes an information release module, a data screening module, a recruitment interview module, an onboarding management module and a file management module. Through data analysis, the data can be quickly screened after the information is released, so as to conduct recruitment interviews, and then onboarding management can be carried out. Subsequent data can be entered into the file management module for management, so as to facilitate the automatic archiving of the information of employed personnel, thereby improving the ease of use of the system.

[0032] The personal information module is bidirectionally connected to the cloud processing server, the output end of the data input module is signal-connected to the input end of the cloud processing server, the database is bidirectionally connected to the cloud processing server, the data analysis module is bidirectionally connected to the cloud processing server, the output end of the cloud processing server is signal-connected to the input end of the data matching module, the output end of the data matching module is signal-connected to the input end of the data recommendation module, and the cloud processing server is bidirectionally connected to the employment unit information module through a bidirectionally connected data comparison module. By collecting personal information, employment unit information and database information, it is possible to quickly match with a suitable unit when seeking employment, and it is also possible to quickly match with corresponding manpower when an enterprise selects talents, and recommendations are made in combination with personal social security and credit information to determine whether the relevant talents are in the unemployed stage, thereby reducing the difficulty of talent selection for enterprises, optimizing human resource management, and improving employment rate and human resource utilization rate, which has the value of promotion and application.

[0033] The information release module is bidirectionally connected to the data analysis module, the data screening module is bidirectionally connected to the information release module, the recruitment interview module is bidirectionally connected to the data screening module, the on-the-job management module is bidirectionally connected to the recruitment interview module, and the file management module is bidirectionally connected to the on-the-job management module.

[0034] As a preferred embodiment of this embodiment, the personal information module includes an identity information data module, an education background data module, a professional information module and a work experience information module, and the identity information data module, the education background data module, the professional information module and the work experience information module are all bidirectionally connected to the cloud processing server.

[0035] As a preferred embodiment of this embodiment, the database includes a length of service database, social security information data and social credit data, which are respectively used to manage and record the length of service, social security information data and social credit data. The length of service database, social security information data and social credit data are respectively connected to the cloud processing server in a two-way manner.

[0036] As a preferred embodiment of this embodiment, the employment unit information includes employee information, work performance data analysis and enterprise information data repository, and the employee information, work performance data analysis and enterprise information data repository are respectively bidirectionally connected to the data comparison module.

[0037] As a preferred embodiment of this embodiment, the data comparison module can compare the data in the recruitment requirements through the set recruitment requirements. If the compared data contains information that meets the recruitment requirements, the information is fed back to the cloud processing server after data comparison, and then fed back to the data analysis module for analysis.

[0038] As a preferred embodiment of the present invention, the data input module adopts an analog input module, which is a device for collecting analog signals from a remote site to a computer. It uses the RS-485 bus as a data communication line, provides an analog-to-485 function, can simultaneously input analog quantities into the module, and transmit them to the computer through the RS-485 bus. Since the RS-485 interface is used as a communication interface, it can combine multiple modules to transmit more analog signals, and can be dispersedly configured on the 485 line, distinguished by address codes, and can be directly connected to the configuration software of the MODBUS RTU protocol. The analog quantity represents any value that changes continuously within a certain range, which is a state representation opposite to the digital quantity. Usually, the analog quantity is used to collect and represent parameters such as voltage, current or frequency of things. The analog input module is an intelligent module that can collect analog quantities (such as voltage, current, thermocouples, thermal resistors, temperature and other values) and transmit them to the computer through the 485 bus. Its communication protocol adopts the MODBUS RTU protocol, which realizes unified docking with industrial site data collection and is also very convenient to program.

[0039] It is worth mentioning that it collects multiple analog inputs and industrial wiring terminals, supports rail installation, and the 485 interface input is connected to the computer, and the 485 interface provides photoelectric isolation. It adopts MODBUS RTU communication protocol, which is convenient for customers to unify to the host computer management platform. The analog module can be cascaded through the 485 interface, which is convenient for system expansion. Its specific technical parameters are as follows: Hardware configuration: 9-channel DI / PI, 8-channel AI, 5-channel DO, 3-channel serial port, storage capacity: 4M, communication protocol: standard MODBUS-RTU protocol, can be embedded in other communication protocols, power supply: 10V-30V DC, working environment: temperature: -40 to +85℃, humidity: ≤95%, installation method: panel mounted, overall size: 120x120x95mm.

[0040] As a preferred embodiment of the present invention, the personal information module allows users to view personal information of new employees after logging in. Here, users can view personal user name, authority level, current date, last login time, number of logins and can perform safe logout operations. In the personal information display module, user information is queried from the user information table based on the user ID stored in the SESSION variable, and the user information is output on the page.

[0041] As the preferred embodiment of the present invention, the database is a warehouse that organizes, stores and manages data according to the data structure. It has been widely used in various aspects, from the simplest table storing various data to the large database system capable of storing massive data. The database is a general data processing system for a unit or an application field. It stores a collection of relevant data belonging to enterprises and business departments, groups and individuals. The data in the database is established from a global perspective and is organized, described and stored according to a certain data model. Its structure is based on the natural connection between data, so as to provide all necessary access paths, and the data is no longer targeted at a certain application, but is oriented to the entire organization, with overall structured characteristics.

[0042] It is worth mentioning that the database used can realize data sharing. Data sharing includes that all users can access the data in the database at the same time, and also includes that users can use the database through the interface in various ways and provide data sharing. Secondly, it can reduce data redundancy. Compared with the file system, because the database realizes data sharing, it avoids users from establishing application files separately, reduces a lot of duplicate data, reduces data redundancy, maintains data consistency, and increases data independence. Data independence includes logical independence (the logical structure of the database and the application program in the database are independent of each other) and physical independence (changes in the physical structure of the data do not affect the logical structure of the data). It can also realize data centralized control. In the file management method, data In a decentralized state, different users or the same user have no relationship between their files in different processes. The database can be used to centrally control and manage data, and the organization of various data and the relationship between data are represented by data models, maintaining data consistency and maintainability to ensure data security and reliability. It mainly includes security control: preventing data loss, erroneous updates and unauthorized use, integrity control: ensuring the correctness, validity and compatibility of data, and concurrency control: allowing multiple accesses to data within the same time period, and preventing abnormal interactions between users. In terms of fault recovery, the database management system provides a set of methods to detect and repair faults in a timely manner, thereby preventing data from being destroyed. The database system can recover the faults that occur during the operation of the database system as soon as possible, which may be physical or logical errors. For example, data errors caused by misoperation of the system.

[0043] As the preferred embodiment of this invention, the cloud processing server is to virtualize multiple parts similar to independent servers on a group of cluster servers. Each server in the cluster has a mirror of the cloud server, which greatly improves the security and stability of the virtual server. Unless all the servers in the cluster have problems, the cloud server will be inaccessible. The cloud server is a WEB service-based elastic cloud technology that provides adjustable cloud host configuration, integrates Iaas services of computing, storage and network resources, and has the cloud host rental service with on-demand use and on-demand instant payment capabilities. It has greatly improved flexibility, controllability, scalability and resource reuse.

[0044] It is worth mentioning that it has the ability to quickly supply and deploy. After submitting an application for cloud host rental, the user can activate it in real time and get the service immediately. He can choose Windows system or Linux system, and can also install some software according to his needs. The business supports smooth expansion. When the user's business scale expands, the business capacity can be expanded quickly, such as increasing bandwidth, hard disk, etc. The host service configuration and business scale can be configured according to user needs and can be flexibly adjusted. Multiple websites can be installed on a cloud server, and multiple extended services can be configured according to their own needs. Cloud servers will be equipped with different numbers of IP addresses according to the lines selected by the user. A single line is given an independent IP by default, and two independent IPs are given for dual lines. Because the bandwidth cannot be limited due to the increase of IP, IP will not be added for the time being. Cloud hosts are not significantly different from traditional physical servers in terms of product usage. Users can flexibly choose or change the operating system according to their needs.

[0045] When the human resources service system based on artificial intelligence of the present invention is used, the basic requirement data of the personnel to be recruited is input through the data input module, and then the data input module transmits the data to the inside of the cloud processing server, and then the data analysis module publishes the information, the published information is screened, and then a recruitment interview is conducted, and then the entry management operation is performed, and the data is managed and archived at the same time, and the archived data is transmitted to the cloud processing server by the original route. At the same time, the information in the personal information module, the database and the employment unit information module is compared with the information after the recruitment interview, and the compared data is transmitted to the data matching module through the cloud processing server, and then recommended through the data recommendation module, and the information of the recruited personnel is stored in the corresponding modules in the personal information module, the database and the employment unit information respectively.

[0046] In the description of this specification, the description with reference to the terms "embodiment", "one embodiment", "certain embodiments", "illustrative embodiment", "example", "specific example", or "some examples" 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 invention. In this specification, the schematic representation of the above terms does 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.

[0047] The basic principles, main features and advantages of the present invention are described above in conjunction with specific embodiments. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A human resources service system based on artificial intelligence, including a cloud processing server, characterized in that: The cloud processing server is surrounded by a personal information module, a data input module, a database, an employment unit information module, a data analysis module, a data matching module and a data recommendation module; The data analysis module includes an information release module, a data screening module, a recruitment interview module, an onboarding management module and a file management module; The personal information module is bidirectionally connected to the cloud processing server, the output end of the data input module is signal-connected to the input end of the cloud processing server, the database is bidirectionally connected to the cloud processing server, the data analysis module is bidirectionally connected to the cloud processing server, the output end of the cloud processing server is signal-connected to the input end of the data matching module, the output end of the data matching module is signal-connected to the input end of the data recommendation module, and the cloud processing server is bidirectionally connected to the employment unit information module through a bidirectionally connected data comparison module; The information release module is bidirectionally connected to the data analysis module, the data screening module is bidirectionally connected to the information release module, the recruitment interview module is bidirectionally connected to the data screening module, the on-the-job management module is bidirectionally connected to the recruitment interview module, and the file management module is bidirectionally connected to the on-the-job management module.

2. The human resources service system based on artificial intelligence according to claim 1, characterized in that: The personal information module includes an identity information data module, an education background data module, a professional information module and a work experience information module, and the identity information data module, the education background data module, the professional information module and the work experience information module are all bidirectionally connected to the cloud processing server.

3. The human resources service system based on artificial intelligence according to claim 1, characterized in that: The database includes a length of service database, social security information data and social credit data, which are respectively used to manage and record length of service, social security information data and social credit data. The length of service database, social security information data and social credit data are respectively connected to the cloud processing server in a two-way manner.

4. The human resources service system based on artificial intelligence according to claim 1, characterized in that: The employment unit information includes employee information, work performance data analysis and enterprise information data repository, and the employee information, work performance data analysis and enterprise information data repository are respectively bidirectionally connected to the data comparison module.

5. The human resources service system based on artificial intelligence according to claim 1, characterized in that: The data comparison module can compare the data in the recruitment requirements according to the set recruitment requirements. If the compared data contains information that meets the recruitment requirements, the information is fed back to the cloud processing server after data comparison, and then fed back to the data analysis module for analysis.

6. The human resources service system based on artificial intelligence according to claim 1, characterized in that: The data input module adopts an analog input module, which is a device for collecting analog signals from a remote site to a computer. It uses the RS-485 bus as a data communication line and provides an analog-to-485 function. It can simultaneously input analog quantities into the module and transmit them to the computer through the RS-485 bus. Since the RS-485 interface is used as a communication interface, it can combine multiple modules to transmit more analog signals, and can be dispersedly configured on the 485 line, distinguished by address codes, and can be directly connected to the configuration software of the MODBUS RTU protocol. The analog quantity represents any value that changes continuously within a certain range, which is a state representation opposite to the digital quantity. Usually, the analog quantity is used to collect and represent parameters such as voltage, current or frequency of things. The analog input module is an intelligent module that can collect analog quantities (such as voltage, current, thermocouples, thermal resistors, temperature and other values) and transmit them to the computer through the 485 bus. Its communication protocol adopts the MODBUS RTU protocol, which realizes unified docking with industrial site data collection and is also very convenient to program.

7. The human resources service system based on artificial intelligence according to claim 1, characterized in that: In the personal information module, after the user logs in, the personal information of the new employee can be viewed. Here, the user can view the personal user name, authority level, current date, last login time, number of logins and can perform a safe logout operation. In the personal information display module, the user information is queried from the user information table based on the user ID stored in the SESSION variable, and the user information is output on the page.

8. The human resources service system based on artificial intelligence according to claim 1, characterized in that: The database is a warehouse that organizes, stores and manages data according to the data structure. It has been widely used in various aspects, from the simplest table storing various data to large database systems capable of storing massive data. The database is a general data processing system for a unit or an application field. It stores a collection of relevant data belonging to enterprises and business departments, groups and individuals. The data in the database is established from a global perspective and is organized, described and stored according to a certain data model. Its structure is based on the natural connection between data, so as to provide all necessary access paths, and the data is no longer targeted at a certain application, but is oriented to the entire organization, with an overall structured feature.

9. The human resources service system based on artificial intelligence according to claim 1, characterized in that: The cloud processing server is a virtualization of multiple parts similar to independent servers on a group of cluster servers. Each server in the cluster has a mirror of the cloud server, which greatly improves the security and stability of the virtual server. Unless all the servers in the cluster have problems, the cloud server will be inaccessible. The cloud server is a WEB service-based elastic cloud technology that provides adjustable cloud host configuration, integrates computing, storage and network resources, and has an Iaas service with on-demand use and on-demand instant payment capabilities. It has greatly improved flexibility, controllability, scalability and resource reuse.

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