CN117493289A - Multi-department collaborative office form data sharing method, system and storage medium - Google Patents
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Abstract
The invention relates to the technical field of human resources, in particular to a method, a system and a storage medium for sharing multi-department collaborative office form data, which are provided with functions of recruitment, visual field, smart worker and the like by combining a BPM flow management platform through a custom application/low code platform, so that the digitization degree and the management efficiency of enterprises are improved; embedding the 3D virtual recruitment scene in a browser through unity3d+webGL, constructing a meta-universe recruitment and a virtual brand display for enterprises, and improving interactivity and information authenticity in the recruitment process; through an elastic search fuzzy matching algorithm, a live broadcasting, short video and adjacent work post recommendation mode is realized, talent matching accuracy is improved, and high quality talents are provided for enterprises; the method realizes the sharing of form data in multiple processes, reduces the data repetition rate, and improves the agility, usability, instantaneity and intellectualization capacity of the platform.
Description
Technical Field
The invention relates to an office form data sharing method, in particular to a multi-department collaborative office form data sharing method, a system and a storage medium.
Background
In the digital transformation of human resources, the aPaaS platform can package basic service capability on an application platform into an SDK package, provide the capability of 'purchasing' for an APP developed by an enterprise, and become an important carrier for the digital transformation of non-standardized service requirements of small and medium-sized enterprises by three main characteristics of zero codes/low codes, expansibility and cloud service.
The traditional OA system lacks a public basic communication platform, has poor universality and low reusability, and does not have the capabilities of real-time communication and cooperative work; the OA system has single function, can only meet one function according to a form, is very difficult to upgrade and maintain, can not really improve the operation efficiency of enterprises, can realize scene visualization through special equipment constructed by using a plurality of GoPro cameras when the traditional online recruitment is realized, has poor actual three-dimensional display and interaction effect, and is unfavorable for improving the use experience of users.
Based on the above reasons, the invention provides a multi-department collaborative office form data sharing method, a system and a storage medium to solve the problems in the prior art.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a multi-department collaborative office form data sharing method, a system and a storage medium.
In order to solve the technical problems, the invention provides the following technical scheme:
a multi-department collaborative office form data sharing method comprises the following steps:
s1: recruitment service, according to preference information of users in terms of filling in intention posts, industry fields, geographic positions and salary ranges, optimizing post recommendation models by combining click records, application records and collection posts of the users and using technologies such as decision trees, neural networks, recommendation algorithms based on collaborative filtering and the like, and giving more personalized post recommendations;
s2: the method comprises the steps of constructing a recruitment through webGL and unity3D technology, carrying out three-dimensional modeling processing on scene information by adopting 3dsMax three-dimensional modeling software, simulating an offline recruitment scene, solving the problem of space-time limitation of the offline recruitment, realizing that the 3D virtual recruitment scene is embedded in a browser through unity3d+webGL, constructing the metauniverse recruitment and a virtual brand display for enterprises, and improving interactivity and information authenticity of the recruitment process;
s3: the human resource ecological ring is improved in success rate of job hunting through alumni matching and talent matching and through experience communication and sharing, has more social property than the traditional job hunting website, and is constructed through attendance management, approval management, OA, contract, operation management, KPI and EHR series application and forum;
s4: BPM workflow platform, enterprise, talent training organization, university, scientific research institution, talent market various organizations or organization, link with virtual manpower resource management platform through the computer network, these mechanisms bear various tasks such as talent training, talent recruitment and talent business agency in the management of virtual manpower resource separately, realize specialized division of work;
s5: the SaaS application platform performs business operation analysis and visual support on enterprise operation, highlights service life cycle management, improves service quality and efficiency by using a standardized service operation flow, researches a SaaS operation analysis model and effect, integrates service information in a high-efficiency manner, and displays the service information to related staff in real time and clearly;
s6: background data management, namely, a mode of distributing a single database for each tenant is adopted to realize sharing and isolation of data, and data and custom configuration isolation among different service systems are realized by matching with dynamic switching of data sources.
As a preferred technical scheme of the invention, the job recommendation in the step 1 adopts two recommendation modes to carry out mixed recommendation, firstly, structured personal information filled by a job seeker and the condition of completing intelligent talent testing by the job seeker are used as input of a recommendation algorithm, and the job information in the existing job library is used as input of the recommendation algorithm model based on a knowledge graph to recommend the job with higher matching degree for the job seeker through calculation, and the condition of completing intelligent talent evaluation is not necessary data input of the job recommendation, but the job recommendation can be assisted more accurately; and secondly, according to statistics of behavior data of the user after logging in, including position browsing and position collection behaviors, taking the statistics data as input, applying a collaborative filtering recommendation algorithm based on positions, and outputting positions recommended for job seekers.
As a preferable technical scheme of the invention, the creation of the meta-space recruitment in the step 2 comprises the following steps:
s21: the method comprises the steps of performing multi-mode image display, collecting information of job seekers, generating personal exclusive resume, and performing three-dimensional display on personal images and gas quality of the job seekers through video, works and resume modes;
s22: the method comprises the steps of interview scene construction, adopting a virtual field interaction method based on remote duplex, wherein a dynamic live-action image of first live-action information comprises a main line-of-sight live-action image and a non-main line-of-sight live-action image, and the main line-of-sight live-action image is used for fusing with live-action interaction information to generate scene fusion interaction information;
s23: interview scene interaction adopts a scene visualization system based on network three-dimensional modeling, receives a three-dimensional model sent by a first terminal through a browser, displays and displays or interacts the three-dimensional model on the browser, realizes three-dimensional display and interaction of the scene information on the browser during interaction, and improves user experience.
As a preferable technical scheme of the invention, the establishment of the human resource ecological circle in the step 3 comprises the following steps:
s31: the three-dimensional interview and personalized speaking guidance are adopted to obtain the image and audio data of the job seeker, the image of the job seeker with more specific, real and reference value is presented through the auxiliary evaluation of the AI technology, the accuracy and efficiency of talent selection are greatly improved, and the job seeker can display the real job seeker more fully and completely;
s32: the resume is customized according to different industries and different requirements of the job seeker, the resume customization is more personalized and displayed more fully by utilizing the advantages of big data, and the bright spots of the job seeker are deeply mined, so that the resume of the job seeker has more market competitiveness;
s33: the adoption of the big data continuous tracking system ensures that the resume of the job seeker is continuous, and the evaluation of the resume of the AI university based on big data and cloud computing helps the job seeker to find the shortages of the resume of the job seeker and perfect the shortages, thereby improving the success rate of job seeker.
As a preferred technical solution of the present invention, the service application configuration in the step 4 is a key configuration of the workflow system for interfacing with an external service application, and after renting the workflow space, the tenant administrator needs to build an application space of himself, and first needs to configure the module, where the purpose of the configuration mainly includes that the service application can call a series of flow flows and interfaces of feature functions provided by the workflow system, and supports setting whether the service application is started and ordering the service application.
As a preferred technical scheme of the invention, in the step 5, the SaaS operation management platform highlights service life cycle management, improves service quality and efficiency by using a standardized service operation flow, researches a SaaS operation analysis model and effect, integrates service information in a high-efficiency manner comprehensively, and displays the service information to related staff clearly in real time.
As a preferred embodiment of the present invention, the step 6 for background data management includes the following steps:
s61: when a user logs in a service system, the user initiates a login request, and the system analyzes the URL of the request after receiving the request, so that the unique identification of the service system is obtained;
s62: although tenant data can be isolated from a physical layer by distinguishing URLs of the tenant service system, data security is improved, and a workflow system introduces a cache middleware, and when a user logs in for the first time, the user, a system unique identifier and data source information are recorded through a cache;
s63: when the user logs in the system again, the workflow system queries the cache to read the data source preferentially, if the user information does not exist in the cache, the workflow system searches the database, and the queried information is put into the cache.
A multi-department collaborative office form data sharing system comprises a presentation layer, a platform application layer, a SAAS service platform layer, a device driving layer, a man-machine interaction layer and a network communication layer;
the display layer is formed by connecting PC, notebook computer and tablet personal computer with human resource ecological platform, user interacts through interface to generate data to platform, after processing by platform, the result is returned to user to form interactive bridge;
the platform application mainly comprises a backbone network connecting each work point, a work area, a line control dispatching center and a line network command center, and a local area network connecting each subsystem device and an Internet constructed by each work point and each work area;
the SAAS service platform layer can realize the functions of visual, dynamic and comprehensive job seeker application, enterprise recruitment, enterprise portal, enterprise SAAS application and data analysis;
the device driving layer realizes an interface for managing the resources of the terminal intelligent device, is responsible for carrying out data transmission between the background service and the terminal intelligent device, and can manage corresponding data or operation according to communication content when carrying out bidirectional data communication between the resource data of the terminal intelligent device and the background service;
the man-machine interaction layer is used for a user to use an interface of the system, and the configuration of user requirements is carried out through the man-machine interaction interface, and comprises concept component attribute configuration, control strategy configuration and equipment state query functions;
the network communication layer can encapsulate the user configuration attribute information or policy information in the man-machine interaction layer, encapsulates the user configuration attribute information or policy information into a data communication format defined in the system, sends the data communication format to a system background service platform to process a user request, and is also responsible for transmitting the data information of the terminal intelligent device and delivering the data information to background service for processing.
A storage medium storing a computer program for implementing the steps of the multi-department collaboration office form data sharing method when the computer program is executed by a processor.
The embodiment of the invention provides a multi-department collaborative office form data sharing method, a system and a storage medium, which have the following beneficial effects:
1. according to the invention, the operation human resource flow is converted into an automatic and data driving process, on one hand, human resource operation is converted, on the other hand, labor force and working mode are converted, a new mode recruitment interaction platform capable of three-dimensional interaction is created by taking meta-universe recruitment and cooperative office as cores, and personalized EHR, CRM, ERP, WMS contract approval and other applications are quickly built for each industry, so that functions of on-line processing, cooperative office, data processing and the like are realized, and a complete human resource ecological system is formed.
2. The invention integrates recruitment, visual field, clever and other functions by combining with the BPM flow management platform through the custom application/low code platform, thereby improving the digitization degree and management efficiency of enterprises; embedding the 3D virtual recruitment scene in a browser through unity3d+webGL, constructing a meta-universe recruitment and a virtual brand display for enterprises, and improving interactivity and information authenticity in the recruitment process; through an elastic search fuzzy matching algorithm, a live broadcasting, short video and adjacent work post recommendation mode is realized, talent matching accuracy is improved, and high quality talents are provided for enterprises; the method realizes the sharing of form data in multiple processes, reduces the data repetition rate, and improves the agility, usability, instantaneity and intellectualization capacity of the platform.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of a method for sharing multi-department collaborative office form data according to the present invention;
FIG. 2 is a flow chart of creation of a meta-universe recruitment in a multi-department collaborative office form data sharing method of the present invention;
FIG. 3 is a flow chart of background data management in a multi-department collaborative office form data sharing method of the present invention;
FIG. 4 is a flow chart of the establishment of the human resource ecological cycle in the multi-department collaborative office form data sharing method of the invention;
fig. 5 is a diagram showing the composition of a multi-department collaborative office form data sharing system according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Examples: as shown in fig. 1-5, a multi-department collaborative office form data sharing method includes the following steps:
s1: recruitment service, according to user filling intention post, industry field, geographical position, payroll range preference information, combining with user click record, application record, collection post, using decision tree, neural network, collaborative filtering based recommendation algorithm and other technologies to optimize post recommendation model, giving more personalized post recommendation, the post recommendation adopts two recommendation modes to mix recommendation, the first is to complete intelligent talent testing condition according to structured personal information filled by job seekers and job information in the existing job library as recommendation algorithm input, and the situation of completing intelligent talent evaluation is not necessary data input of the post recommendation by job seekers through calculation of the recommendation algorithm model based on knowledge graph, but the job recommendation can be more accurate; the second is to count the behavior data of the user after logging in, including position browsing and position collection behavior, taking the statistical data as input, applying a collaborative filtering recommendation algorithm based on the position, and outputting the position recommended for the job seeker;
s2: the method comprises the steps of constructing a recruitment through webGL and unity3D technology, carrying out three-dimensional modeling processing on scene information by adopting 3dsMax three-dimensional modeling software, simulating an offline recruitment scene, solving the problem of space-time limitation of the offline recruitment, realizing that the 3D virtual recruitment scene is embedded in a browser through unity3d+webGL, constructing the metauniverse recruitment and a virtual brand display for enterprises, and improving interactivity and information authenticity of the recruitment process;
wherein, the elastiscearch fuzzy matching algorithm: the accurate search is performed through the elastiscsearch, so that the speed is faster than that of the traditional mysql; the es is natural distributed, can reduce the retrieval scale through the segmentation when searching a large amount of data, can improve the efficiency through parallel retrieval, can directly skip the retrieval and directly walk the cache when using the filter, maximally improves the efficiency, realizes the post recommendation mode of live broadcasting, short video and adjacent work through an elastic search fuzzy matching algorithm, improves talent matching accuracy, and provides high quality talents for enterprises;
unity3d+webgl technology: the nity3D can be used for quickly baking a three-dimensional scene navigation model (Navmesh) for calibrating a boundary of a navigation space, baking can be directly performed in a Unity editor at present, the efficiency of path searching and crowd simulation (CrowdSimulation) can be greatly improved after setting is completed, the 3D virtual recruitment scene is embedded in a browser through the Unity3D and WebGL, a metauniverse recruitment meeting and a virtual brand display position are constructed for enterprises, and the interactivity and the information authenticity of the recruitment process are improved;
the creation of the meta-space recruitment includes the following steps:
s21: the method comprises the steps of performing multi-mode image display, collecting information of job seekers, generating personal exclusive resume, and performing three-dimensional display on personal images and gas quality of the job seekers through video, works and resume modes;
s22: the method comprises the steps of interview scene construction, adopting a virtual field interaction method based on remote duplex, wherein a dynamic live-action image of first live-action information comprises a main line-of-sight live-action image and a non-main line-of-sight live-action image, and the main line-of-sight live-action image is used for fusing with live-action interaction information to generate scene fusion interaction information;
s23: interview scene interaction adopts a scene visualization system based on network three-dimensional modeling, receives a three-dimensional model sent by a first terminal through a browser, displays and displays or interacts the three-dimensional model on the browser, realizes three-dimensional display and interaction of the scene information on the browser during interaction, and improves user experience.
S3: the human resource ecological ring is improved in success rate of job hunting through alumni matching and talent matching and through experience communication and sharing, has more social property than the traditional job hunting website, and is constructed through attendance management, approval management, OA, contract, operation management, KPI and EHR series application and forum;
the establishment of the human resource ecological ring comprises the following steps:
s31: the three-dimensional interview and personalized speaking guidance are adopted to obtain the image and audio data of the job seeker, the image of the job seeker with more specific, real and reference value is presented through the auxiliary evaluation of the AI technology, the accuracy and efficiency of talent selection are greatly improved, and the job seeker can display the real job seeker more fully and completely;
s32: the resume is customized according to different industries and different requirements of the job seeker, the resume customization is more personalized and displayed more fully by utilizing the advantages of big data, and the bright spots of the job seeker are deeply mined, so that the resume of the job seeker has more market competitiveness;
s33: the adoption of the big data continuous tracking system ensures that the resume of the job seeker is continuous, and the evaluation of the resume of the AI university based on big data and cloud computing helps the job seeker to find the shortages of the resume of the job seeker and perfect the shortages, thereby improving the success rate of job seeker.
S4: BPM workflow platform, enterprise, talent training organization, university, scientific research institution, talent market various organizations or organization, link with virtual manpower resource management platform through the computer network, these mechanisms bear various tasks such as talent training, talent recruitment and personnel business agency in the management of virtual manpower resource separately, realize specialized division of work, business application configuration is the key configuration that the workflow system interfaces with external business application, the tenant administrator needs to set up the application space of oneself after renting the workflow space, need to dispose in this module at first, the purpose of disposition mainly includes the business application can call a series of flow flows that the workflow system offers and interface of the characteristic function, and support and set up whether the business application is started and order it;
s5: the SaaS application platform performs business operation analysis and visual support on enterprise operation, highlights service life cycle management, improves service quality and efficiency by using a standardized service operation flow, researches and efficiently integrates business information comprehensively, clearly displays the business information to related staff in real time, highlights service life cycle management, improves service quality and efficiency by using a standardized service operation flow, researches and efficiently integrates business information comprehensively and clearly displays the business information to related staff in real time;
s6: background data management, namely, a mode of distributing a single database for each tenant is adopted to realize sharing and isolation of data, and data and custom configuration isolation among different service systems are realized by matching with dynamic switching of data sources.
For background data management, the method comprises the following steps:
s61: when a user logs in a service system, a login request is initiated, then the system analyzes the URL of the request after receiving the request, so that the unique identifier of the service system is obtained, for example, when the unique identifier in the initiated login request is workflow, the workflow system searches the database for the data source information with the identifier of workflow, and then dynamically switches to the data source, so that the data information is obtained, and the data information is returned to the user;
s62: although tenant data can be isolated from a physical layer by distinguishing URLs of a tenant service system, data security is improved, tenants firstly need to analyze the URLs in the process of logging in the system each time so as to acquire a system unique identifier, and then connect to a corresponding data source for data processing, so that the logging in efficiency is quite low, a workflow system introduces a cache middleware, and the user, the system unique identifier and the data source information are recorded through the cache when the user logs in for the first time;
s63: when the user logs in the system again, the workflow system queries the cache to read the data source preferentially, if the user information does not exist in the cache, the workflow system searches the database, and the queried information is put into the cache.
A multi-department collaborative office form data sharing system comprises a presentation layer, a platform application layer, a SAAS service platform layer, a device driving layer, a man-machine interaction layer and a network communication layer;
the display layer is formed by connecting PC, notebook computer and tablet personal computer with human resource ecological platform, user interacts via interface to generate data to platform, and the platform returns result to user after processing to form interactive bridge;
the platform application mainly comprises a backbone network connecting each work point, a work area, a line control dispatching center and a line network command center, a local area network connecting each subsystem device constructed by each work point and each work area and the Internet;
the SAAS service platform layer can realize the functions of visual, dynamic and comprehensive job seeker application, enterprise recruitment, enterprise portal, enterprise SAAS application and data analysis;
the device driving layer realizes an interface for managing the resources of the terminal intelligent device, is responsible for carrying out data transmission between the background service and the terminal intelligent device, and can manage corresponding data or operation according to communication content when carrying out bidirectional data communication between the resource data of the terminal intelligent device and the background service;
the man-machine interaction layer is used for a user to use an interface of the system, and the configuration of user requirements is carried out through the man-machine interaction interface, and comprises concept component attribute configuration, control strategy configuration and equipment state query functions;
the network communication layer can encapsulate the user configuration attribute information or policy information in the man-machine interaction layer, encapsulates the user configuration attribute information or policy information into a data communication format defined in the system, sends the data communication format to the system background service platform to process a user request, and is also responsible for transmitting the data information of the terminal intelligent device and delivering the data information to the background service to process.
A storage medium storing a computer program for multi-department collaboration office form data, the computer program implementing steps of a multi-department collaboration office form data sharing method when executed by a processor.
The foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. The multi-department collaborative office form data sharing method comprises the following steps of:
s1: recruitment service, according to preference information of users in terms of filling in intention posts, industry fields, geographic positions and salary ranges, optimizing post recommendation models by combining click records, application records and collection posts of the users and using technologies such as decision trees, neural networks, recommendation algorithms based on collaborative filtering and the like, and giving more personalized post recommendations;
s2: the method comprises the steps of constructing a recruitment through webGL and unity3D technology, carrying out three-dimensional modeling processing on scene information by adopting 3dsMax three-dimensional modeling software, simulating an offline recruitment scene, solving the problem of space-time limitation of the offline recruitment, realizing that the 3D virtual recruitment scene is embedded in a browser through unity3d+webGL, constructing the metauniverse recruitment and a virtual brand display for enterprises, and improving interactivity and information authenticity of the recruitment process;
s3: the human resource ecological ring is improved in success rate of job hunting through alumni matching and talent matching and through experience communication and sharing, has more social property than the traditional job hunting website, and is constructed through attendance management, approval management, OA, contract, operation management, KPI and EHR series application and forum;
s4: BPM workflow platform, enterprise, talent training organization, university, scientific research institution, talent market various organizations or organization, link with virtual manpower resource management platform through the computer network, these mechanisms bear various tasks such as talent training, talent recruitment and talent business agency in the management of virtual manpower resource separately, realize specialized division of work;
s5: the SaaS application platform performs business operation analysis and visual support on enterprise operation, highlights service life cycle management, improves service quality and efficiency by using a standardized service operation flow, researches a SaaS operation analysis model and effect, integrates service information in a high-efficiency manner, and displays the service information to related staff in real time and clearly;
s6: background data management, namely, a mode of distributing a single database for each tenant is adopted to realize sharing and isolation of data, and data and custom configuration isolation among different service systems are realized by matching with dynamic switching of data sources.
2. The multi-department collaborative office form data sharing method according to claim 1, wherein the job recommendation in the step 1 adopts two recommendation modes to mix and recommend, firstly, structured personal information filled by job seekers and job seekers complete intelligent talent testing conditions, and job information in the existing job library is used as input of recommendation algorithm, and the job with higher matching degree is recommended to the job seekers through calculation of a recommendation algorithm model based on a knowledge graph, and the condition of completing intelligent talent evaluation is not necessary data input of job recommendation, but can assist the job recommendation to be more accurate; and secondly, according to statistics of behavior data of the user after logging in, including position browsing and position collection behaviors, taking the statistics data as input, applying a collaborative filtering recommendation algorithm based on positions, and outputting positions recommended for job seekers.
3. The method for sharing the multi-department collaborative office form data according to claim 1, wherein the creation of the meta-universe recruitment in step 2 comprises the steps of:
s21: the method comprises the steps of performing multi-mode image display, collecting information of job seekers, generating personal exclusive resume, and performing three-dimensional display on personal images and gas quality of the job seekers through video, works and resume modes;
s22: the method comprises the steps of interview scene construction, adopting a virtual field interaction method based on remote duplex, wherein a dynamic live-action image of first live-action information comprises a main line-of-sight live-action image and a non-main line-of-sight live-action image, and the main line-of-sight live-action image is used for fusing with live-action interaction information to generate scene fusion interaction information;
s23: interview scene interaction adopts a scene visualization system based on network three-dimensional modeling, receives a three-dimensional model sent by a first terminal through a browser, displays and displays or interacts the three-dimensional model on the browser, realizes three-dimensional display and interaction of the scene information on the browser during interaction, and improves user experience.
4. The method for sharing the data of the multi-department collaborative office form according to claim 1, wherein the establishment of the human resource ecological circle in the step 3 comprises the following steps:
s31: the three-dimensional interview and personalized speaking guidance are adopted to obtain the image and audio data of the job seeker, the image of the job seeker with more specific, real and reference value is presented through the auxiliary evaluation of the AI technology, the accuracy and efficiency of talent selection are greatly improved, and the job seeker can display the real job seeker more fully and completely;
s32: the resume is customized according to different industries and different requirements of the job seeker, the resume customization is more personalized and displayed more fully by utilizing the advantages of big data, and the bright spots of the job seeker are deeply mined, so that the resume of the job seeker has more market competitiveness;
s33: the adoption of the big data continuous tracking system ensures that the resume of the job seeker is continuous, and the evaluation of the resume of the AI university based on big data and cloud computing helps the job seeker to find the shortages of the resume of the job seeker and perfect the shortages, thereby improving the success rate of job seeker.
5. The method for sharing the multi-department collaborative office form data according to claim 1, wherein the service application configuration in the step 4 is a key configuration of the workflow system for interfacing with external service applications, a tenant administrator needs to establish an application space of the tenant administrator after renting the workflow space, and the configuration is firstly required to be performed on the module, and the purpose of the configuration mainly includes that the service application can call a series of flow and feature function interfaces provided by the workflow system, and supports setting whether the service application is enabled or not and ordering the service application.
6. The method for sharing the multi-department collaborative office form data according to claim 1, wherein in the step 5, the SaaS operation management platform highlights service life cycle management, improves service quality and efficiency by using standardized service operation procedures, researches a SaaS operation analysis model and functions, integrates service information efficiently and comprehensively, and clearly displays the service information to related staff in real time.
7. The method for sharing data in a multi-department collaborative office form according to claim 1, wherein the step 6 for background data management comprises the steps of:
s61: when a user logs in a service system, the user initiates a login request, and the system analyzes the URL of the request after receiving the request, so that the unique identification of the service system is obtained;
s62: although tenant data can be isolated from a physical layer by distinguishing URLs of the tenant service system, data security is improved, and a workflow system introduces a cache middleware, and when a user logs in for the first time, the user, a system unique identifier and data source information are recorded through a cache;
s63: when the user logs in the system again, the workflow system queries the cache to read the data source preferentially, if the user information does not exist in the cache, the workflow system searches the database, and the queried information is put into the cache.
8. The multi-department collaborative office form data sharing system is characterized by comprising a display layer, a platform application layer, an SAAS service platform layer, a device driving layer, a man-machine interaction layer and a network communication layer;
the display layer is formed by connecting PC, notebook computer and tablet personal computer with human resource ecological platform, user interacts through interface to generate data to platform, after processing by platform, the result is returned to user to form interactive bridge;
the platform application mainly comprises a backbone network connecting each work point, a work area, a line control dispatching center and a line network command center, and a local area network connecting each subsystem device and an Internet constructed by each work point and each work area;
the SAAS service platform layer can realize the functions of visual, dynamic and comprehensive job seeker application, enterprise recruitment, enterprise portal, enterprise SAAS application and data analysis;
the device driving layer realizes an interface for managing the resources of the terminal intelligent device, is responsible for carrying out data transmission between the background service and the terminal intelligent device, and can manage corresponding data or operation according to communication content when carrying out bidirectional data communication between the resource data of the terminal intelligent device and the background service;
the man-machine interaction layer is used for a user to use an interface of the system, and the configuration of user requirements is carried out through the man-machine interaction interface, and comprises concept component attribute configuration, control strategy configuration and equipment state query functions;
the network communication layer can encapsulate the user configuration attribute information or policy information in the man-machine interaction layer, encapsulates the user configuration attribute information or policy information into a data communication format defined in the system, sends the data communication format to a system background service platform to process a user request, and is also responsible for transmitting the data information of the terminal intelligent device and delivering the data information to background service for processing.
9. A storage medium storing a computer program for implementing the steps of a multi-department collaboration office form data sharing method as claimed in any one of claims 1 to 7 when executed by a processor.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106503174A (en) * | 2016-10-25 | 2017-03-15 | 广州卓能信息科技有限公司 | A kind of environment Visualization method and system modeled based on Network Three-dimensional |
| US20180260023A1 (en) * | 2017-03-10 | 2018-09-13 | Kenneth Perlin | System for a Spectator to View a Virtual Reality of a Performer and Method |
| CN110533313A (en) * | 2019-08-22 | 2019-12-03 | 北京亮马手信息咨询有限公司 | A kind of team's recruitment system based on 3D virtual reality technology |
| US20200027096A1 (en) * | 2017-11-07 | 2020-01-23 | Jason Ryan Cooner | System, business and technical methods, and article of manufacture for utilizing internet of things technology in energy management systems designed to automate the process of generating and/or monetizing carbon credits |
| CN112652061A (en) * | 2021-01-21 | 2021-04-13 | 赵书芳 | Kinect-based network virtual fitting system |
| CN112801636A (en) * | 2021-03-19 | 2021-05-14 | 深圳市企慧通信息技术有限公司 | Intelligent talent recommendation culture platform and method based on learning map and post image |
| CN113110733A (en) * | 2021-03-03 | 2021-07-13 | 卓才互能(广州)科技股份有限公司 | Virtual field interaction method and system based on remote duplex |
| CN114333543A (en) * | 2020-09-30 | 2022-04-12 | 南京睿首智能技术研究院有限公司 | Two-dimensional and three-dimensional combined collaborative operation simulation cloud platform system |
| CN116467090A (en) * | 2023-02-23 | 2023-07-21 | 中科大数据研究院 | Method for interactive communication between unit 3d three-dimensional scene and web page element |
| CN116610881A (en) * | 2023-05-24 | 2023-08-18 | 齐君智能科技(苏州)有限公司 | WebGL browsing interaction method based on low-code software |
| CN116629818A (en) * | 2023-06-01 | 2023-08-22 | 湖南锦绣云信息科技有限公司 | Intelligent matching SAAS system based on human resource service recruitment |
-
2023
- 2023-11-15 CN CN202311522328.5A patent/CN117493289A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106503174A (en) * | 2016-10-25 | 2017-03-15 | 广州卓能信息科技有限公司 | A kind of environment Visualization method and system modeled based on Network Three-dimensional |
| US20180260023A1 (en) * | 2017-03-10 | 2018-09-13 | Kenneth Perlin | System for a Spectator to View a Virtual Reality of a Performer and Method |
| US20200027096A1 (en) * | 2017-11-07 | 2020-01-23 | Jason Ryan Cooner | System, business and technical methods, and article of manufacture for utilizing internet of things technology in energy management systems designed to automate the process of generating and/or monetizing carbon credits |
| CN110533313A (en) * | 2019-08-22 | 2019-12-03 | 北京亮马手信息咨询有限公司 | A kind of team's recruitment system based on 3D virtual reality technology |
| CN114333543A (en) * | 2020-09-30 | 2022-04-12 | 南京睿首智能技术研究院有限公司 | Two-dimensional and three-dimensional combined collaborative operation simulation cloud platform system |
| CN112652061A (en) * | 2021-01-21 | 2021-04-13 | 赵书芳 | Kinect-based network virtual fitting system |
| CN113110733A (en) * | 2021-03-03 | 2021-07-13 | 卓才互能(广州)科技股份有限公司 | Virtual field interaction method and system based on remote duplex |
| CN112801636A (en) * | 2021-03-19 | 2021-05-14 | 深圳市企慧通信息技术有限公司 | Intelligent talent recommendation culture platform and method based on learning map and post image |
| CN116467090A (en) * | 2023-02-23 | 2023-07-21 | 中科大数据研究院 | Method for interactive communication between unit 3d three-dimensional scene and web page element |
| CN116610881A (en) * | 2023-05-24 | 2023-08-18 | 齐君智能科技(苏州)有限公司 | WebGL browsing interaction method based on low-code software |
| CN116629818A (en) * | 2023-06-01 | 2023-08-22 | 湖南锦绣云信息科技有限公司 | Intelligent matching SAAS system based on human resource service recruitment |
Non-Patent Citations (4)
| Title |
|---|
| 李翔: "基于SaaS的工作流系统的设计与实现", 《中国优秀硕士学位论文全文数据库信息科技辑》, 15 February 2023 (2023-02-15), pages 138 - 606 * |
| 王晓青: "企业校园招聘平台的设计与实现", 《中国优秀硕士学位论文全文数据库信息科技辑》, 15 March 2022 (2022-03-15), pages 138 - 483 * |
| 胡囊萤: "后疫情时代基于人工智能的网络招聘平台的设计与实现", 《现代商业》, 28 July 2021 (2021-07-28), pages 125 - 127 * |
| 霍鹏磊: "基于Unity3D的实验室虚拟漫游系统设计与实现", 《中国优秀硕士学位论文全文数据库信息科技辑》, 15 January 2020 (2020-01-15), pages 138 - 2278 * |
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