CN114331355A - Remote multi-stage approval method and system for flexible employment platform - Google Patents
Remote multi-stage approval method and system for flexible employment platform Download PDFInfo
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Abstract
The application discloses a remote multi-stage approval method and system of a flexible employment platform, wherein user characteristic information is obtained by performing characteristic analysis on the user information; classifying data characteristics of the flexible employment platform, and constructing module information based on the platform characteristic classification; determining a module execution logic rule based on the user characteristic information and the module information; determining a logic execution scheme, and acquiring data flow information according to a multi-level approval scheme and a multi-level relation network; and performing data flow processing on the audit relationship and the data relationship according to the data flow information to obtain an audit result. The technical problems that an employment platform is lack of an effective auditing mechanism, the data processing reliability is low, the business processing result is influenced, and effective employment service cannot be provided for enterprises are solved. The technical effects of setting the multi-stage approval process according to the service characteristics of the user, and guaranteeing the remote execution quality and optimization of the platform through the multi-stage approval are achieved.
Description
Technical Field
The application relates to the technical field of employment platforms, in particular to a remote multi-stage approval method and system of a flexible employment platform.
Background
The employment of enterprises usually has a certain mode, corresponding business processing needs to be carried out in a fixed office place, but the enterprise cannot be centralized in the fixed office place under the influence of external nonresistance factors or other variable influences, the business processing can be influenced, the normal operation of the enterprises can be influenced seriously, along with the continuous development of the Internet, remote cooperation is carried out through a network platform, the convenient and effective way for solving the problems is provided, but the accuracy and the reliability of data of the network remote cooperation have influences, the reliability of a data processing result is guaranteed, the effective development of business is guaranteed, and a set of effective processing means is lacked.
In the process of implementing the technical scheme in the embodiment of the present application, it is found that the above-mentioned technology has at least the following technical problems:
in the prior art, an employment platform lacks an effective auditing mechanism, and the technical problems that a business processing result is influenced due to low data processing reliability and effective employment service cannot be provided for enterprises exist.
Disclosure of Invention
The application aims to provide a remote multi-stage approval method and system of a flexible employment platform, and the method and system are used for solving the technical problems that the employment platform in the prior art is lack of an effective auditing mechanism, the data processing reliability is not high, the business processing result is influenced, and effective employment service cannot be provided for enterprises. The method and the device have the advantages that the multistage approval process is set according to the service characteristics of the user, remote process approval is realized by setting the multistage approval process, the remote execution quality and optimization of the platform are guaranteed, the guarantee is provided for the effective operation of the flexible employment platform, and the enterprise user can safely and reliably operate the remote service to reduce the technical effect of being influenced by external factors.
In view of the above problems, the embodiments of the present application provide a remote multi-stage approval method and system for a flexible employment platform.
In a first aspect, the application provides a remote multi-stage approval method for a flexible employment platform, the method is applied to the flexible employment platform, and the method comprises the following steps: obtaining user information; carrying out characteristic analysis on the user information to obtain user characteristic information; classifying the data characteristics of the flexible employment platform, and constructing module information based on the platform characteristic classification; determining a module execution logic rule based on the user characteristic information and the module information; determining a logic execution scheme according to the module execution logic rule, and formulating a multi-stage approval scheme based on the logic execution scheme; constructing a multi-level relation network, wherein the multi-level relation network comprises an audit relation and a data relation; acquiring data flow information according to the multilevel approval scheme and the multilevel relation network; and performing data flow processing on the audit relationship and the data relationship according to the data flow information to obtain an audit result.
On the other hand, the application also provides a remote multi-stage approval system of the flexible employment platform, which is used for executing the remote multi-stage approval method of the flexible employment platform according to the first aspect, and the system comprises:
a first obtaining unit configured to obtain user information;
the second obtaining unit is used for carrying out characteristic analysis on the user information to obtain user characteristic information;
the first construction unit is used for carrying out data feature classification on the flexible employment platform and constructing module information based on the platform feature classification;
a first determining unit, configured to determine a module execution logic rule based on the user feature information and the module information;
the first execution unit is used for determining a logic execution scheme according to the module execution logic rule and formulating a multi-stage approval scheme based on the logic execution scheme;
the second construction unit is used for constructing a multi-level relation network, and the multi-level relation network comprises an audit relation and a data relation;
a third obtaining unit, configured to obtain data flow information according to the multilevel approval scheme and the multilevel relational network;
and the fourth obtaining unit is used for carrying out data flow processing on the audit relationship and the data relationship according to the data flow information to obtain an audit result.
In a third aspect, an embodiment of the present application further provides a remote multi-stage approval system with a flexible employment platform, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
1. performing user characteristic analysis on registration information by a user registered by the platform, performing data characteristic classification by the flexible employment platform, and constructing module information based on the platform characteristic classification; and determining a module execution logic rule based on the user characteristic information and the module information, so that the functional module is formulated according to the service characteristics of the user, and the technical effect of flexibility of platform operation is realized.
2. Obtaining functional experience data by setting information based on the platform function; marking the transverse dimension and the longitudinal dimension of the functional empirical data to construct a matrix model; calculating characteristic weight of the functional empirical data based on the matrix model to obtain weight sequencing; and selecting a preset amount of characteristic information from the weight sorting, and determining the functional data information based on the characteristic information. The data characteristics of different environments and requirements are effectively attached, the coverage range of the functional data information is improved, the corresponding module information can be effectively designed, and therefore the technical effect of guarantee is provided for the corresponding platform function processing.
3. By obtaining task level information; judging whether the task grade information reaches a preset grade or not; and when the new audit flow is satisfied, acquiring a new audit flow according to the audit execution subject and the audit data type, wherein the new audit flow comprises an audit subject, a flow insertion position and flow synchronization time. The method has the advantages that the cross relation of multi-stage approval is increased or the approval synchronism is increased, the remote execution quality and optimization of the platform are guaranteed, the accuracy of the auditing result is improved by crossing and increasing the auditing links for the auditing links with higher task levels, and the auditing efficiency is ensured without increasing the auditing efficiency for improving the auditing efficiency at the end of task level commitment.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only exemplary, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic flow chart of a remote multi-stage approval method for a flexible employment platform according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of a remote multi-stage approval system of a flexible employment platform according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a first constructing unit 13, a first determining unit 14, a first executing unit 15, a second constructing unit 16, a third obtaining unit 17, a fourth obtaining unit 18, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, a bus interface 305.
Detailed Description
The embodiment of the application provides the remote multi-stage approval method and system for the flexible employment platform, and solves the technical problems that the employment platform in the prior art is lack of an effective auditing mechanism, the data processing reliability is not high, the business processing result is influenced, and effective employment service cannot be provided for enterprises.
In the following, the technical solutions in the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings, and it is to be understood that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application. It should be further noted that, for the convenience of description, only some but not all of the elements relevant to the present application are shown in the drawings.
The technical scheme provided by the application has the following general idea:
obtaining user information; carrying out characteristic analysis on the user information to obtain user characteristic information; classifying the data characteristics of the flexible employment platform, and constructing module information based on the platform characteristic classification; determining a module execution logic rule based on the user characteristic information and the module information; determining a logic execution scheme according to the module execution logic rule, and formulating a multi-stage approval scheme based on the logic execution scheme; constructing a multi-level relation network, wherein the multi-level relation network comprises an audit relation and a data relation; acquiring data flow information according to the multilevel approval scheme and the multilevel relation network; and performing data flow processing on the audit relationship and the data relationship according to the data flow information to obtain an audit result. The method and the device have the advantages that the multistage approval process is set according to the service characteristics of the user, remote process approval is realized by setting the multistage approval process, the remote execution quality and optimization of the platform are guaranteed, the guarantee is provided for the effective operation of the flexible employment platform, and the enterprise user can safely and reliably operate the remote service to reduce the technical effect of being influenced by external factors.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
Referring to fig. 1, an embodiment of the present application provides a remote multi-stage approval method for a flexible employment platform, where the method is applied to the flexible employment platform, and the method includes:
step S100: obtaining user information;
specifically, the user information is the account information of the account of interest, such as the code, the user name, the enterprise name, and the like of any user registered on the flexible employment platform.
Step S200: carrying out characteristic analysis on the user information to obtain user characteristic information;
further, the performing feature analysis on the user information to obtain user feature information includes: acquiring a user platform code according to the user information; based on the user platform code, calling user basic information, wherein the user basic information comprises project content information and position coordinate information; obtaining a feature extraction rule; respectively carrying out feature extraction rule matching on the item content information and the position coordinate information to obtain a feature extraction algorithm; and extracting the characteristics of the item content information and the position coordinate information based on the characteristic extraction algorithm to obtain the user characteristic information.
Specifically, the code of the user in the platform is obtained according to the user information, the user platform code is the unique corresponding account code of the user in the platform, and all platform data related to the user can be extracted through the user platform code, wherein the platform data comprises registration reservation information, project data, audit data, project progress and the like. The user basic information includes the basic data of project maintenance provided by the user when the user performs platform registration, such as the attribute, the operation range, the marketing address, the registration address, the scale, the project content information, the contract and the like of the user, and can also be used for corresponding service processing for the registered user. And matching different feature extraction rules according to the attributes of different basic data, for example, extracting the content of a project label through contract keyword semantic analysis on project contract information, determining the market and administrative division of the position of the project position coordinate information, and extracting a project-related execution policy of the corresponding position according to different urban administrative division areas. And the attributes of different data corresponding to different data information correspond to different extraction rules, the extraction algorithm is determined by using the extraction rules of different data, the extraction of the data characteristics is realized, and the construction of the user characteristic information is completed according to the data characteristics of the extracted basic data.
Step S300: classifying the data characteristics of the flexible employment platform, and constructing module information based on the platform characteristic classification;
further, the flexible employment platform is subjected to data feature classification, and based on the platform feature classification, module information is constructed, including: determining platform function setting information; analyzing functional data based on the platform function setting information to determine functional data information; performing data characteristic analysis on the functional data information to obtain platform characteristic classification; acquiring a function processing requirement according to the platform function setting information; and constructing the module information based on the function processing requirement and the platform feature classification.
Specifically, the business functions in the flexible employment platform are classified according to the corresponding data characteristics, different modules are constructed for different functions, the modules are utilized to perform corresponding functional business processing, namely different platform business functions construct different modules, the functional modules are utilized to perform corresponding business processing, and the corresponding modules are called according to which functional processing needs to be performed, so that the flexibility of platform processing is improved. Analyzing the function data corresponding to each function based on the platform function setting information, determining the function data information, namely the data information corresponding to the platform function, such as attendance data information corresponding to an attendance function and project amount detail data corresponding to project settlement, performing data feature analysis on the function data information corresponding to each business function to obtain platform feature classification of each function in the platform, wherein each platform function setting information corresponds to different function processing requirements, such as statistics of the attendance data of each person according to time nodes when the attendance data information is processed, treatment, certificate inspection, accounting and the like are required to be performed on each amount of money for the project amount detail data, starting, processes and results of function realization correspond to the function processing requirements, and corresponding module construction is performed according to the function processing requirements and the platform feature classification to which the data corresponding to each function belongs, the module information comprises an execution flow, a data processing requirement, a data characteristic and the like corresponding to the function, the characteristic identification is carried out through the input data, the identified data characteristic is automatically processed according to the matched corresponding function module, and the processing module carries out the processing process of the data meeting the data processing requirement according to the execution flow in the module, so that the corresponding processing result is obtained.
Step S400: determining a module execution logic rule based on the user characteristic information and the module information;
specifically, the module execution logic rule of the user is determined according to the user characteristic information and the module information, the user characteristic information has difference, and different users have different requirements on services, so that in order to meet platform service setting requirements of different users, the corresponding module execution logic rule is set according to different users, fitness matching is performed between the user characteristic information and the module information, data characteristic matching is performed according to the user characteristic information and all modules in the platform to obtain modules matched with the user characteristic information, and automatic matching and execution rule setting are performed on the modules according to the characteristics corresponding to the user characteristic information. Namely, the matching setting of the platform service model is carried out according to the operation range, data type, data volume, service attribute and the like of a company, the relevant rule formulation of execution control is carried out according to all required service module information which is set, and the module execution logic rule is that: what data, what module to request to execute, and according to what rules to execute and operate, including corresponding execution modules, function settings, data characteristics, and the like.
Step S500: determining a logic execution scheme according to the module execution logic rule, and formulating a multi-stage approval scheme based on the logic execution scheme;
specifically, the module execution logic rule is determined according to the data characteristics of a user, wherein all functional modules which need to be executed by the user are included, a logic execution scheme is determined according to the functions of the modules in the module execution logic rule, for example, the module execution logic rule of a user comprises attendance management, order settlement management, order payment and payment management of employees, a logic execution scheme corresponding to the functions is provided according to different functions, for example, the payment comprises data audit, certificate audit, financial statistics, supervisor audit and the like, a corresponding multi-stage approval scheme is set according to the set logic execution scheme, the logic execution scheme is correspondingly executed on the basis of the modules, and remote and flow approval is realized by adding a plurality of approval processes.
Step S600: constructing a multi-level relation network, wherein the multi-level relation network comprises an audit relation and a data relation;
specifically, the multi-level relationship network is set for the personnel structure and the business characteristics of the user, and includes an audit relationship structure and a data relationship corresponding to the audit relationship, that is, the form and the flow direction of the data.
Step S700: acquiring data flow information according to the multilevel approval scheme and the multilevel relation network;
step S800: and performing data flow processing on the audit relationship and the data relationship according to the data flow information to obtain an audit result.
Specifically, according to the flow and requirements of the multilevel approval scheme, the data flow information is determined by combining the audit relationship and the data relationship trend set by the user in the multilevel relational network, the data flow information is the direction of data operation and transmission, the relevant execution module in the platform transmits the result obtained by operation in each step to the next step for operation processing according to the data flow information, so as to realize the effect of automatic operation and transmission of data, carry out the operation and processing of the data according to the data flow information, execute the multi-stage examination and approval scheme to obtain the final examination and approval result, achieve the setting of the multi-stage examination and approval process according to the service characteristics of the user, the remote process approval is realized by setting a multi-stage approval process, the remote execution quality and optimization of the platform are ensured, the effective operation of the flexible employment platform is guaranteed, and enterprise users can safely and reliably operate remote services to reduce the technical effect of being influenced by external factors. Therefore, the technical problems that an employment platform is lack of an effective auditing mechanism, a business processing result is influenced due to low data processing reliability, and effective employment service cannot be provided for enterprises in the prior art are solved.
Further, the analyzing the functional data and determining the functional data information based on the platform function setting information includes: acquiring function experience data based on the platform function setting information; marking the transverse dimension and the longitudinal dimension of the functional empirical data to construct a matrix model; calculating characteristic weight of the functional empirical data based on the matrix model to obtain weight sequencing; and selecting a preset amount of characteristic information from the weight sorting, and determining the functional data information based on the characteristic information.
Specifically, when the corresponding function data information analysis is performed on the platform function setting information, in order to improve the processing efficiency and the reliability of the function data information extraction result, historical data is acquired for each platform function, the function experience data is the historical data of each corresponding platform function, the function experience data is utilized to perform the characteristic analysis of the data, the expression mode, the attribute, the operation requirement, the data rule and the like of the function data in the processing process are obtained, the transverse dimension is the attribute and the parameter name information of the data, the longitudinal dimension is the change relevance of the data, different data processing environments, processing flows, the data acquisition requirement and the operation result are different, the difference of the data is generated, and the different data characteristics corresponding to the platform function under different dimensions and conditions are comprehensively mastered through the transverse and longitudinal comparison analysis of the function experience data, selecting data characteristic information which can represent the platform function most, wherein the transverse direction is to analyze the data characteristics of the operation relation among various data attributes and parameters, such as data functional characteristics corresponding to the operation processing relation among various parameters of project materials, artificial unit price, project settlement and the like, the longitudinal direction is the data difference of the same parameter obtained under different operation environments and sampling conditions, the data is subjected to functional characteristic analysis among different data, after comprehensive analysis processing is carried out by utilizing the transverse direction and the longitudinal direction, the obtained characteristics are subjected to weight calculation, the first few characteristics with larger weight value sequence are taken as the characteristic information of the selected functional data, and the corresponding functional data information is determined based on the characteristic information, so that the determined functional data information is more fit with the data characteristics corresponding to the platform function, and the data characteristics of different environments and requirements can be effectively fit, the coverage range of the functional data information is improved, and the corresponding module information can be effectively designed, so that the corresponding platform function processing is guaranteed.
Further, the method further comprises: obtaining user personnel structure information based on the user information, wherein the user personnel structure information comprises user personnel information; labeling labels for the user personnel according to the user personnel structure information; creating a project team based on the personnel tagging labels and the platform function setting information; and carrying out authority distribution on the user personnel in the project team.
Specifically, the personnel structure information, namely the personnel structure, the personnel composition, the job division and other personnel information in the enterprise is determined according to the user information, each personnel is labeled according to the basic information of each personnel so as to quickly and comprehensively master the structure of the personnel in the enterprise, the personnel integration is convenient to carry out, the personnel can be quickly searched and assigned rights and roles through the labels, the personnel can flexibly carry out the operations of auditing, transferring, evaluating and the like of each personnel by using the labeled labels of each personnel, the platform function suitable for the personnel is determined by matching the platform function setting information according to the user characteristic information, the team leader determined by corresponding personnel selection is carried out according to the corresponding platform function, the project team is created based on the determined team leader, namely the team leader is determined firstly and then is created, the project team is an organizer of an organization or department, and only one team leader can exist in one project team, one team leader can have a plurality of teams, and the team leader is bound with a project team, wherein the project team comprises the team leader, team members and the like, corresponding authority distribution is carried out according to the auditing relation between the labels and platform functions of user personnel in the project team, and personnel distributed to different authorities can carry out corresponding platform operation, such as data input, examination, viewing, report downloading and the like.
Further, the method comprises: obtaining input data; obtaining platform function information; determining a data auditing requirement according to the platform function information, and auditing the input data based on the data auditing requirement; and obtaining a matching platform flow according to the input data passing the examination, distributing the logic rule executed by the module by using the matching platform flow, and determining the logic execution scheme to formulate a multi-stage examination and approval scheme.
Specifically, according to platform function information, corresponding function requirements matched by each user are set, the authority of corresponding personnel with corresponding functions is set, the personnel with the authority input data through a terminal, the auditing requirements of the input data are determined according to the corresponding platform function information, such as attendance data auditing time nodes, personnel coverage, recording format normalization and the like, such as financial data auditing bill definition, bill integrity, data sources, parameter information, time information and the like, the data auditing requirements are preliminary auditing requirements for the input data, whether the functional data information requirements for processing by a module are met or not, feedback is performed on the non-meeting requirements so as to avoid influencing the operation processing of the module, the input data meeting the auditing requirements and the module execution logic rules are distributed to determine the entered module information, the input data further enter the corresponding module input end and enter the module for operation transmission according to the requirement of data circulation, and after the input data is approved and the result is determined through the multi-stage approval scheme, the platform performs corresponding function execution according to the approval result. For example, the terminal reports attendance by using an interface for inputting data, after the attendance is checked according to a standard processed by a proper platform, the data meeting the requirement enters a multi-level approval scheme for approval of each level, the data meeting the approval is submitted and is not eligible for refunding, a settlement list is created according to the attendance, the settlement list is separately created by a temporary operator and a team leader and submitted for approval, an attendance feedback table is generated by the settlement list passing through the multi-level approval scheme, the attendance feedback table needing further settlement continues to enter a settlement module, and the unnecessary attendance feedback table is fed back. The settlement module comprises personnel settlement and project settlement, after data are approved, the data enter the multistage approval scheme of the settlement module to be subjected to multistage approval, and corresponding processing is carried out through approval, so that the data are rejected when the data are not in conformity. The management personnel can also check all the processed data, the platform can count and summarize the data processed by each module, and the feedback output of the corresponding data is carried out according to the checking requirements of the management personnel.
Further, the method further comprises: acquiring task grade information; judging whether the task grade information reaches a preset grade or not; if so, establishing a multi-level approval list according to the multi-level approval scheme, wherein the multi-level approval list comprises an approval execution subject and an approval data type; obtaining a newly added auditing flow according to the auditing executive body and the auditing data type, wherein the newly added auditing flow comprises an auditing body, a flow inserting position and flow synchronization time; and adjusting the multi-stage approval scheme based on the process insertion position, the audit subject and the process synchronization time to obtain the adjusted multi-stage approval scheme.
Specifically, for processing tasks with better task level information, in order to improve the reliability of data auditing, for an auditing link added with a higher task level, the accuracy of an auditing result is improved by crossing and adding the auditing link, and for the efficiency of auditing improvement at the bottom of task level intersection, the addition and insertion operation of an auditing flow is not performed. When the task level is higher, a multi-level approval list is created according to a multi-level approval scheme, the characteristics and the approval contents of each level of approval can be better mastered through the form of the list, a process with higher approval requirements is selected to add an audit link, in order to ensure the reliability of the audit, corresponding insertion matching is carried out according to the audit subject at the insertion position and the type of data, for example, for the audit needing to be financial personnel in the settlement process, the audit request can be mastered, the added audit link can also be set as cross audit, namely, the cross audit of the respective audit results of the original audit subject at the insertion position and the added audit subject is carried out, so as to improve the reliability of the data audit result, or the cross audit link is increased, the cross audit is carried out with the original audit subject, the same audit node is set, the synchronous audit is realized, so that the audit time is prevented from being prolonged, and corresponding audit content addition setting is carried out according to the specific audit requirements and the grade requirements, so that the cross relation of multi-stage approval is increased or the approval synchronism is increased, and the technical effects of remote execution quality and optimization of the platform are ensured.
Further, the method further comprises: acquiring information of a training project; obtaining training and auditing requirements according to the information of the training program; acquiring operator information according to the input data; obtaining an input data auditing result; and evaluating the data auditing result based on the training auditing requirement to obtain an operator evaluating result.
Specifically, the flexible employment fairness includes a plurality of employment modes, and further includes training projects with an employee, training employees with production skills while working with the employee, for the special conditions of the market, such as epidemic situation, which can cause that personnel can not go to post to carry out employment training, the flexible employment platform of the embodiment of the application is used for carrying out corresponding labor training, for the training items, namely training item information, which comprises the function of examination and evaluation after training, different examination requirements are carried out according to different training contents, the accuracy of the input data of the training operators each time is checked, the quality of the data can be guaranteed if the operators perform data input each time, the obtained checking result meets the requirements, the corresponding evaluation result of the operator is in accordance with the requirement, otherwise, the evaluation result of the operator is not in accordance with the requirement, and the training of the training staff is further arranged and adjusted according to the evaluation result of the operator.
To sum up, the remote multi-stage approval method of the flexible employment platform provided by the embodiment of the application has the following technical effects:
1. performing user characteristic analysis on registration information by a user registered by the platform, performing data characteristic classification by the flexible employment platform, and constructing module information based on the platform characteristic classification; and determining a module execution logic rule based on the user characteristic information and the module information, so that the functional module is formulated according to the service characteristics of the user, and the technical effect of flexibility of platform operation is realized.
2. Obtaining functional experience data by setting information based on the platform function; marking the transverse dimension and the longitudinal dimension of the functional empirical data to construct a matrix model; calculating characteristic weight of the functional empirical data based on the matrix model to obtain weight sequencing; and selecting a preset amount of characteristic information from the weight sorting, and determining the functional data information based on the characteristic information. The data characteristics of different environments and requirements are effectively attached, the coverage range of the functional data information is improved, the corresponding module information can be effectively designed, and therefore the technical effect of guarantee is provided for the corresponding platform function processing.
3. By obtaining task level information; judging whether the task grade information reaches a preset grade or not; and when the new audit flow is satisfied, acquiring a new audit flow according to the audit execution subject and the audit data type, wherein the new audit flow comprises an audit subject, a flow insertion position and flow synchronization time. The method has the advantages that the cross relation of multi-stage approval is increased or the approval synchronism is increased, the remote execution quality and optimization of the platform are guaranteed, the accuracy of the auditing result is improved by crossing and increasing the auditing links for the auditing links with higher task levels, and the auditing efficiency is ensured without increasing the auditing efficiency for improving the auditing efficiency at the end of task level commitment.
Example two
Based on the same inventive concept as the remote multi-stage approval method of the flexible employment platform in the foregoing embodiment, the present invention further provides a remote multi-stage approval system of the flexible employment platform, and please refer to fig. 2, where the system includes:
a first obtaining unit 11, wherein the first obtaining unit 11 is used for obtaining user information;
a second obtaining unit 12, where the second obtaining unit 12 is configured to perform feature analysis on the user information to obtain user feature information;
the first construction unit 13 is configured to perform data feature classification on the flexible employment platform, and construct module information based on the platform feature classification;
a first determining unit 14, wherein the first determining unit 14 is configured to determine a module execution logic rule based on the user characteristic information and the module information;
the first execution unit 15 is configured to determine a logic execution scheme according to the module execution logic rule, and formulate a multi-stage approval scheme based on the logic execution scheme;
the second constructing unit 16 is configured to construct a multi-level relationship network, where the multi-level relationship network includes an audit relationship and a data relationship;
a third obtaining unit 17, where the third obtaining unit 17 is configured to obtain data flow information according to the multilevel approval scheme and the multilevel relational network;
a fourth obtaining unit 18, where the fourth obtaining unit 18 is configured to perform data flow processing on the audit relationship and the data relationship according to the data flow information, and obtain an audit result.
Further, the system further comprises:
a fifth obtaining unit, configured to obtain a user platform code according to the user information;
the first calling unit is used for calling user basic information based on the user platform code, and the user basic information comprises project content information and position coordinate information;
a sixth obtaining unit configured to obtain a feature extraction rule;
a seventh obtaining unit, configured to perform feature extraction rule matching on the item content information and the position coordinate information, respectively, to obtain a feature extraction algorithm;
an eighth obtaining unit, configured to perform feature extraction on the item content information and the position coordinate information based on the feature extraction algorithm, so as to obtain the user feature information.
Further, the system further comprises:
a second determination unit for determining platform function setting information;
a third determining unit, configured to perform functional data analysis based on the platform function setting information, and determine functional data information;
a ninth obtaining unit, configured to perform data feature analysis on the functional data information to obtain a platform feature classification;
a tenth obtaining unit, configured to obtain a function processing requirement according to the platform function setting information;
a third constructing unit configured to construct the module information based on the functional processing requirement and the platform feature classification.
Further, the system further comprises:
an eleventh obtaining unit configured to obtain functional experience data based on the platform function setting information;
the fourth construction unit is used for marking the transverse dimension and the longitudinal dimension of the functional empirical data to construct a matrix model;
a twelfth obtaining unit, configured to perform feature weight calculation on the functional empirical data based on the matrix model, so as to obtain a weight rank;
a fourth determination unit configured to select a preset number of pieces of feature information from the weight ranking and determine the functional data information based on the feature information.
Further, the system further comprises:
a thirteenth obtaining unit, configured to obtain user person structure information based on the user information, where the user person structure information includes user person information;
the first labeling unit is used for labeling the labels of the user personnel according to the user personnel structure information;
the first creating unit is used for creating a project team based on the personnel labeling labels and the platform function setting information;
and the first authority unit is used for carrying out authority distribution on user personnel in the project team.
Further, the system further comprises:
a fourteenth obtaining unit for obtaining input data;
a fifteenth obtaining unit configured to obtain platform function information;
the second execution unit is used for determining a data auditing requirement according to the platform function information and auditing the input data based on the data auditing requirement;
and the third execution unit is used for obtaining a matching platform flow according to input data passing the examination, distributing the module execution logic rules by using the matching platform flow, and determining the logic execution scheme to formulate a multi-stage examination and approval scheme.
Further, the system further comprises:
a sixteenth obtaining unit, configured to obtain task level information;
the first judging unit is used for judging whether the task grade information reaches a preset grade or not;
the first establishing unit is used for establishing a multi-level approval list according to the multi-level approval scheme when the requirements are met, wherein the multi-level approval list comprises an approval execution subject and an approval data type;
a seventeenth obtaining unit, configured to obtain a new audit flow according to the audit execution subject and the audit data type, where the new audit flow includes an audit subject, a flow insertion location, and a flow synchronization time;
and the eighteenth obtaining unit is used for adjusting the multi-stage approval scheme based on the process inserting position, the auditing subject and the process synchronization time to obtain the adjusted multi-stage approval scheme.
Further, the system further comprises:
a nineteenth obtaining unit for obtaining training item information;
a twentieth obtaining unit, configured to obtain a training audit requirement according to the training project information;
a twenty-first obtaining unit, configured to obtain operator information according to the input data;
a twenty-second obtaining unit, configured to obtain an input data audit result;
a twenty-third obtaining unit, configured to evaluate the data review result based on the training review requirement, and obtain an operator evaluation result.
In the present specification, each embodiment is described in a progressive manner, and the emphasis of each embodiment is to expect the difference between the other embodiments, the aforementioned remote multi-stage approval method for a flexible employment platform in the first embodiment of fig. 1 and the specific example are also applicable to the remote multi-stage approval system for a flexible employment platform in the present embodiment, and through the foregoing detailed description of the remote multi-stage approval method for a flexible employment platform, those skilled in the art can clearly know the remote multi-stage approval system for a flexible employment platform in the present embodiment, so for the brevity of the description, detailed description is not repeated here. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the remote multi-stage approval method of the flexible employment platform in the foregoing embodiment, the invention further provides a remote multi-stage approval system of the flexible employment platform, wherein a computer program is stored on the system, and when the program is executed by a processor, the steps of any one of the foregoing remote multi-stage approval methods of the flexible employment platform are realized.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The application provides a remote multi-stage approval method and system of a flexible employment platform, which are characterized in that user information is obtained; carrying out characteristic analysis on the user information to obtain user characteristic information; classifying the data characteristics of the flexible employment platform, and constructing module information based on the platform characteristic classification; determining a module execution logic rule based on the user characteristic information and the module information; determining a logic execution scheme according to the module execution logic rule, and formulating a multi-stage approval scheme based on the logic execution scheme; constructing a multi-level relation network, wherein the multi-level relation network comprises an audit relation and a data relation; acquiring data flow information according to the multilevel approval scheme and the multilevel relation network; and performing data flow processing on the audit relationship and the data relationship according to the data flow information to obtain an audit result. The method and the device have the advantages that the multistage approval process is set according to the service characteristics of the user, remote process approval is realized by setting the multistage approval process, the remote execution quality and optimization of the platform are guaranteed, the guarantee is provided for the effective operation of the flexible employment platform, and the enterprise user can safely and reliably operate the remote service to reduce the technical effect of being influenced by external factors. Therefore, the technical problems that an employment platform is lack of an effective auditing mechanism, a business processing result is influenced due to low data processing reliability, and effective employment service cannot be provided for enterprises in the prior art are solved.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present application may take the form of an entirely software embodiment, an entirely hardware embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application is in the form of a computer program product that may be embodied on one or more computer-usable storage media having computer-usable program code embodied therewith. And such computer-usable storage media include, but are not limited to: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk Memory, a Compact Disc Read-Only Memory (CD-ROM), and an optical Memory.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the same technology as the present invention, it is intended that the present invention encompass such modifications and variations as well.
Claims (10)
1. A remote multi-stage approval method for a flexible employment platform is characterized in that the method is applied to the flexible employment platform, and comprises the following steps:
obtaining user information;
carrying out characteristic analysis on the user information to obtain user characteristic information;
classifying the data characteristics of the flexible employment platform, and constructing module information based on the platform characteristic classification;
determining a module execution logic rule based on the user characteristic information and the module information;
determining a logic execution scheme according to the module execution logic rule, and formulating a multi-stage approval scheme based on the logic execution scheme;
constructing a multi-level relation network, wherein the multi-level relation network comprises an audit relation and a data relation;
acquiring data flow information according to the multilevel approval scheme and the multilevel relation network;
and performing data flow processing on the audit relationship and the data relationship according to the data flow information to obtain an audit result.
2. The method of claim 1, wherein the performing the feature analysis on the user information to obtain user feature information comprises:
acquiring a user platform code according to the user information;
based on the user platform code, calling user basic information, wherein the user basic information comprises project content information and position coordinate information;
obtaining a feature extraction rule;
respectively carrying out feature extraction rule matching on the item content information and the position coordinate information to obtain a feature extraction algorithm;
and extracting the characteristics of the item content information and the position coordinate information based on the characteristic extraction algorithm to obtain the user characteristic information.
3. The method of claim 1, wherein said classifying the data features of the flexible employment platform and constructing module information based on the platform feature classification comprises:
determining platform function setting information;
analyzing functional data based on the platform function setting information to determine functional data information;
performing data characteristic analysis on the functional data information to obtain platform characteristic classification;
acquiring a function processing requirement according to the platform function setting information;
and constructing the module information based on the function processing requirement and the platform feature classification.
4. The method of claim 3, wherein the performing functional data analysis based on the platform function setting information to determine functional data information comprises:
acquiring function experience data based on the platform function setting information;
marking the transverse dimension and the longitudinal dimension of the functional empirical data to construct a matrix model;
calculating characteristic weight of the functional empirical data based on the matrix model to obtain weight sequencing;
and selecting a preset amount of characteristic information from the weight sorting, and determining the functional data information based on the characteristic information.
5. The method of claim 3, wherein the method further comprises:
obtaining user personnel structure information based on the user information, wherein the user personnel structure information comprises user personnel information;
labeling labels for the user personnel according to the user personnel structure information;
creating a project team based on the personnel tagging labels and the platform function setting information;
and carrying out authority distribution on the user personnel in the project team.
6. The method of claim 1, wherein the method comprises:
obtaining input data;
obtaining platform function information;
determining a data auditing requirement according to the platform function information, and auditing the input data based on the data auditing requirement;
and obtaining a matching platform flow according to the input data passing the examination, distributing the logic rule executed by the module by using the matching platform flow, and determining the logic execution scheme to formulate a multi-stage examination and approval scheme.
7. The method of claim 1, wherein the method further comprises:
acquiring task grade information;
judging whether the task grade information reaches a preset grade or not;
if so, establishing a multi-level approval list according to the multi-level approval scheme, wherein the multi-level approval list comprises an approval execution subject and an approval data type;
obtaining a newly added auditing flow according to the auditing executive body and the auditing data type, wherein the newly added auditing flow comprises an auditing body, a flow inserting position and flow synchronization time;
and adjusting the multi-stage approval scheme based on the process insertion position, the audit subject and the process synchronization time to obtain the adjusted multi-stage approval scheme.
8. The method of claim 6, wherein the method further comprises:
acquiring information of a training project;
obtaining training and auditing requirements according to the information of the training program;
acquiring operator information according to the input data;
obtaining an input data auditing result;
and evaluating the data auditing result based on the training auditing requirement to obtain an operator evaluating result.
9. A remote multi-stage approval system for a flexible employment platform, the system comprising:
a first obtaining unit configured to obtain user information;
the second obtaining unit is used for carrying out characteristic analysis on the user information to obtain user characteristic information;
the first construction unit is used for carrying out data feature classification on the flexible employment platform and constructing module information based on the platform feature classification;
a first determining unit, configured to determine a module execution logic rule based on the user feature information and the module information;
the first execution unit is used for determining a logic execution scheme according to the module execution logic rule and formulating a multi-stage approval scheme based on the logic execution scheme;
the second construction unit is used for constructing a multi-level relation network, and the multi-level relation network comprises an audit relation and a data relation;
a third obtaining unit, configured to obtain data flow information according to the multilevel approval scheme and the multilevel relational network;
and the fourth obtaining unit is used for carrying out data flow processing on the audit relationship and the data relationship according to the data flow information to obtain an audit result.
10. A remote multi-stage approval system using a flexible employment platform, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of claims 1 to 8 when executing the program.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117273765A (en) * | 2023-11-21 | 2023-12-22 | 广州欧派创意家居设计有限公司 | Multistage dealer circulation data processing method and system based on automatic check |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117273765A (en) * | 2023-11-21 | 2023-12-22 | 广州欧派创意家居设计有限公司 | Multistage dealer circulation data processing method and system based on automatic check |
| CN117273765B (en) * | 2023-11-21 | 2024-02-06 | 广州欧派创意家居设计有限公司 | Multistage dealer circulation data processing method and system based on automatic check |
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