CN112348492A - Authentication matching method and system based on block chain intelligent contract - Google Patents
Authentication matching method and system based on block chain intelligent contract Download PDFInfo
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Abstract
The invention discloses an authentication matching method and system based on a block chain intelligent contract, which comprises the following steps: establishing a database; judging whether the personnel capacity index in the enterprise meets the requirement of a preset standard or not; generating a new index; judging whether the new index of the internal personnel capacity meets the requirement of a preset standard or not; dynamically allocating courses; judging whether the training time is finished before the starting time of the new project and the new post of the enterprise; judging whether the training personnel meet the requirements of a preset standard or not; selecting personnel outside the enterprise through a prefabricated scheme; and selecting the personnel meeting the requirements of the new project and the new post. Has the advantages that: by establishing a new project of an enterprise and a database of personnel capacity indexes needed by a new post, a decision maker can be provided to compare the conditions of candidates, verify the real reliability of data and carry out capacity matching, so that the accuracy and efficiency of recruitment are greatly improved.
Description
Technical Field
The invention relates to the field of recruitment software application, in particular to an authentication matching method and system based on a block chain intelligent contract.
Background
With the increasing demand of recruitment and job hunting, some traditional channels for collecting information, such as professional registration, cannot meet the demand. With the endless development of various recruitment websites, a good human resource platform is provided in a networked social contact manner, however, the conventional recruitment website only screens out keywords of the post requirement and keywords of the resume information, and then calculates the matching between the keywords of the post requirement and the keywords of the resume information, which has certain defects.
At present, as shown in fig. 4, in an enterprise and public institution, the development of a new project or the appointments of new posts are performed by personnel departments to search suitable personnel for interviewing according to a demand list. However, direct recruitment in society or internal mining in enterprises and institutions mainly depend on subjective judgment, and the method not only causes that recruiters may not meet requirements, but also consumes a great deal of time and energy.
An effective solution to the problems in the related art has not been proposed yet.
Disclosure of Invention
Aiming at the problems in the related art, the invention provides an authentication matching method and system based on a block chain intelligent contract, so as to overcome the technical problems in the prior related art.
Therefore, the invention adopts the following specific technical scheme:
according to one aspect of the invention, an authentication matching method based on a block chain intelligent contract is provided, and the method comprises the following steps:
s1, establishing a database according to a preset standard;
s2, checking the personnel capacity indexes inside the enterprise with the database, and judging whether the personnel capacity indexes meet the requirements of preset standards, if so, executing S9, otherwise, executing S3;
s3, adjusting the personnel capacity index inside the enterprise through a preset method, and generating a new index;
s4, checking the new personnel capacity index in the enterprise with the database, and judging whether the new personnel capacity index meets the requirement of a preset standard, if so, executing S5, otherwise, executing S8;
s5, dynamically allocating courses according to the difference between the personnel capacity indexes in the enterprise and the new indexes;
s6, judging whether the training time is finished before the start time of the new project and the new post of the enterprise, if so, executing S7, otherwise, executing S8;
s7, training and evaluating personnel in the enterprise through a preset scheme, and judging whether the personnel meet the requirements of a preset standard, if so, executing S9, otherwise, executing S3;
s8, selecting personnel outside the enterprise through a prefabricated scheme;
and S9, selecting the personnel meeting the requirements of the new project and the new post.
Further, the preset standard in S1 is a staff capability index required by a new project and a new post of the enterprise.
Further, the step of checking the staff capacity index inside the enterprise with the database in S2 further includes the following steps:
s21, carrying out statistics on the capability indexes of the enterprise internal personnel with new projects and new posts of the enterprise;
and S22, checking the capability indexes of the personnel in the enterprise and generating a query report.
Further, in S3, adjusting the staff capacity index inside the enterprise by a preset method, and generating a new index further includes the following steps:
s31, combining the vocational education and training indexes with the personnel ability indexes in the enterprise to generate new indexes;
and S32, quantifying the improvement of the ability of the trained personnel through a big data algorithm, and then matching all quantified data to obtain a result.
Further, in S5, the step of performing dynamic course allocation according to the difference between the internal personnel capacity index of the enterprise and the new index further includes the following steps:
s51, confirming the internal personnel of the enterprise participating in training;
s52, fitting a training scheme by adopting a dynamic algorithm according to the difference of the personnel capacity inside the enterprise participating in the training;
and S53, adaptively distributing the training courses in the training scheme to the personnel in the enterprise participating in the training.
Further, the training and evaluating of the personnel in the enterprise through the preset scheme in S7 further includes the following steps:
s71, recording and storing the training progress of personnel in the enterprise;
s72, carrying out statistics again on the capability indexes of the personnel in the enterprise participating in the training after the course is finished;
s73, obtaining a brand-new capability spectrogram of each enterprise internal personnel participating in training by adopting a fitting algorithm;
and S74, checking the capability spectrogram with a database.
Further, the step of selecting the personnel outside the enterprise through the prefabricated scheme in S8 further includes the following steps:
s81, counting the application information of the corresponding engaging personnel through a preset channel;
s82, authenticating the resume and the certificate of the corresponding hiring person;
s83, obtaining the capacity spectrogram of each applicant by adopting a fitting algorithm;
and S84, checking the capacity spectrogram of the applicant with a database.
Further, the preset channel includes, but is not limited to, social recruitment.
According to another aspect of the present invention, there is also provided an authentication matching system based on a blockchain intelligent contract, the system including: the device comprises an acquisition module, a checking module, a judgment module and an output module;
the system comprises an acquisition module, a database management module and a database management module, wherein the acquisition module is used for establishing the database according to a preset standard, adjusting the personnel capacity index in an enterprise by a preset method and generating a new index;
the checking module is used for checking the personnel capacity indexes inside the enterprise with the database and checking the new personnel capacity indexes inside the enterprise with the database;
the judging module is used for judging whether the capability index of the personnel in the enterprise meets the requirement of a preset standard, judging whether the new capability index of the personnel in the enterprise meets the requirement of the preset standard, judging whether the training time is finished before the starting time of a new project and a new post of the enterprise and judging whether the trained personnel in the enterprise meet the requirement of the preset standard;
and the output module is used for selecting the personnel meeting the requirements of the new project and the new post.
Furthermore, the preset standard in the acquisition module is a personnel capacity index required by a new project and a new post of an enterprise.
The invention has the beneficial effects that: by establishing a new project of an enterprise and a database of personnel capacity indexes needed by a new post, a decision maker can be provided to compare the conditions of candidates, verify the real reliability of data and carry out capacity matching, so that the accuracy and efficiency of recruitment are greatly improved. Meanwhile, when enterprises need to be cultivated internally, the vocational education colleges and universities use the database to record the whole courses and the scores of the learning of employees, and a visual ability improving condition can be provided for decision makers through the ability maps of each person, so that the efficiency of organization and management is further improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flowchart of an authentication matching method based on a blockchain intelligent contract according to an embodiment of the present invention;
FIG. 2 is a block diagram of an embodiment of a system for matching certificates based on intelligent contracts for blockchains;
fig. 3 is a second schematic block diagram of an authentication matching system based on a blockchain intelligent contract according to an embodiment of the present invention;
fig. 4 is a flow chart of a prior art scheme.
In the figure:
1. an acquisition module; 2. a checking module; 3. a judgment module; 4. and an output module.
Detailed Description
For further explanation of the various embodiments, the drawings which form a part of the disclosure and which are incorporated in and constitute a part of this specification, illustrate embodiments and, together with the description, serve to explain the principles of operation of the embodiments, and to enable others of ordinary skill in the art to understand the various embodiments and advantages of the invention, and, by reference to these figures, reference is made to the accompanying drawings, which are not to scale and wherein like reference numerals generally refer to like elements.
According to the embodiment of the invention, an authentication matching method based on a block chain intelligent contract is provided.
Referring to the drawings and the detailed description, the invention will be further explained, as shown in fig. 1, in an embodiment of the invention, a method for certificate matching based on a blockchain intelligent contract, the method including the following steps:
s1, establishing a database according to a preset standard;
s2, checking the personnel capacity indexes inside the enterprise with the database, and judging whether the personnel capacity indexes meet the requirements of preset standards, if so, executing S9, otherwise, executing S3;
s3, adjusting the personnel capacity index inside the enterprise through a preset method, and generating a new index;
s4, checking the new personnel capacity index in the enterprise with the database, and judging whether the new personnel capacity index meets the requirement of a preset standard, if so, executing S5, otherwise, executing S8;
s5, dynamically allocating courses according to the difference between the personnel capacity indexes in the enterprise and the new indexes;
s6, judging whether the training time is finished before the start time of the new project and the new post of the enterprise, if so, executing S7, otherwise, executing S8;
s7, training and evaluating personnel in the enterprise through a preset scheme, and judging whether the personnel meet the requirements of a preset standard, if so, executing S9, otherwise, executing S3;
s8, selecting personnel outside the enterprise through a prefabricated scheme;
and S9, selecting the personnel meeting the requirements of the new project and the new post.
By means of the scheme, through establishing the database of the capability indexes of the personnel required by the new project and the new post of the enterprise, a decision maker can compare the conditions of the candidates, verify the real reliability of the data and perform capability matching, so that the accuracy and the efficiency of recruitment are greatly improved. Meanwhile, when enterprises need to be cultivated internally, the vocational education colleges and universities use the database to record the whole courses and the scores of the learning of employees, and a visual ability improving condition can be provided for decision makers through the ability maps of each person, so that the efficiency of organization and management is further improved.
In one embodiment, the preset criteria in S1 are the personnel capacity index required by the new project and the new post of the enterprise.
In one embodiment, the checking the staff capacity index in the enterprise with the database in S2 further includes the following steps:
s21, carrying out statistics on the capability indexes of the enterprise internal personnel with new projects and new posts of the enterprise;
and S22, checking the capability indexes of the personnel in the enterprise and generating a query report.
In one embodiment, the adjusting the staff capacity index inside the enterprise by the preset method in S3, and generating a new index further includes the following steps:
s31, combining the vocational education and training indexes with the personnel ability indexes in the enterprise to generate new indexes;
and S32, quantifying the improvement of the ability of the trained personnel through a big data algorithm, and then matching all quantified data to obtain a result.
In one embodiment, the step of performing dynamic assignment of courses according to the difference between the internal personnel capacity index of the enterprise and the new index in S5 further includes the following steps:
s51, confirming the internal personnel of the enterprise participating in training;
s52, fitting a training scheme by adopting a dynamic algorithm according to the difference of the personnel capacity inside the enterprise participating in the training;
and S53, adaptively distributing the training courses in the training scheme to the personnel in the enterprise participating in the training.
In one embodiment, the training and evaluating the personnel in the enterprise through the preset scheme in S7 further includes the following steps:
s71, recording and storing the training progress of personnel in the enterprise;
s72, carrying out statistics again on the capability indexes of the personnel in the enterprise participating in the training after the course is finished;
s73, obtaining a brand-new capability spectrogram of each enterprise internal personnel participating in training by adopting a fitting algorithm;
and S74, checking the capability spectrogram with a database.
In one embodiment, the selecting the personnel outside the enterprise through the pre-made plan in S8 further includes the following steps:
s81, counting the application information of the corresponding engaging personnel through a preset channel;
s82, authenticating the resume and the certificate of the corresponding hiring person;
s83, obtaining the capacity spectrogram of each applicant by adopting a fitting algorithm;
and S84, checking the capacity spectrogram of the applicant with a database.
In one embodiment, the preset channel includes, but is not limited to, social recruitment.
According to another embodiment of the present invention, as shown in fig. 3, there is also provided an authentication matching system based on a blockchain intelligent contract, including: the device comprises an acquisition module 1, a checking module 2, a judgment module 3 and an output module 4;
the system comprises an acquisition module 1, a database management module and a database management module, wherein the acquisition module is used for establishing the database according to a preset standard, adjusting the personnel capacity index in an enterprise by a preset method and generating a new index;
the checking module 2 is used for checking the personnel capacity indexes inside the enterprise with the database and checking the new personnel capacity indexes inside the enterprise with the database;
the judging module 3 is used for judging whether the capability index of the personnel in the enterprise meets the requirement of a preset standard, judging whether the new capability index of the personnel in the enterprise meets the requirement of the preset standard, judging whether the training time is finished before the starting time of a new project and a new post of the enterprise and judging whether the trained personnel in the enterprise meet the requirement of the preset standard;
and the output module 4 is used for selecting the personnel meeting the requirements of the new project and the new post.
In one embodiment, the preset standard in the collection module 1 is a staff capability index required by a new project and a new post of an enterprise.
For the convenience of understanding the technical solutions of the present invention, the following detailed description will be made on the working principle or the operation mode of the present invention in the practical process.
In practical application, as shown in fig. 2, the intelligent contract authentication system compares the ability of the person and the certificate quickly to find out the appropriate person; the talent skill matching system is used for carrying out capability excavation on the internal workers; the skill market demand analysis system analyzes the skills required by the current human resource market to obtain the skills required by personnel training; the education resource searching and matching system is used for combing, accurately positioning and quickly combing a course education list with improved capability to various existing education and training resources.
For the convenience of understanding the technical solutions of the present invention, the following detailed description will be made on the working principle or the operation mode of the present invention in the practical process.
In conclusion, by means of the technical scheme, through establishing the database of the capability indexes of the personnel required by the new project and the new post of the enterprise, a decision maker can compare the conditions of the candidates, verify the true credibility of the data and perform capability matching, so that the accuracy and the efficiency of recruitment are greatly improved. Meanwhile, when enterprises need to be cultivated internally, the vocational education colleges and universities use the database to record the whole courses and the scores of the learning of employees, and a visual ability improving condition can be provided for decision makers through the ability maps of each person, so that the efficiency of organization and management is further improved.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. An authentication matching method based on a block chain intelligent contract is characterized by comprising the following steps:
s1, establishing a database according to a preset standard;
s2, checking the personnel capacity indexes inside the enterprise with the database, and judging whether the personnel capacity indexes meet the requirements of preset standards, if so, executing S9, otherwise, executing S3;
s3, adjusting the personnel capacity index inside the enterprise through a preset method, and generating a new index;
s4, checking the new personnel capacity index in the enterprise with the database, and judging whether the new personnel capacity index meets the requirement of a preset standard, if so, executing S5, otherwise, executing S8;
s5, dynamically allocating courses according to the difference between the personnel capacity indexes in the enterprise and the new indexes;
s6, judging whether the training time is finished before the start time of the new project and the new post of the enterprise, if so, executing S7, otherwise, executing S8;
s7, training and evaluating personnel in the enterprise through a preset scheme, and judging whether the personnel meet the requirements of a preset standard, if so, executing S9, otherwise, executing S3;
s8, selecting personnel outside the enterprise through a prefabricated scheme;
and S9, selecting the personnel meeting the requirements of the new project and the new post.
2. The method for matching certification based on block chain intelligent contracts according to claim 1, wherein the preset standard in S1 is a staff capability index required by new projects and new posts of an enterprise.
3. The method for matching certification based on a blockchain intelligent contract according to claim 1, wherein the step of checking the internal personnel capability index of the enterprise with the database in the step of S2 further comprises the following steps:
s21, carrying out statistics on the capability indexes of the enterprise internal personnel with new projects and new posts of the enterprise;
and S22, checking the capability indexes of the personnel in the enterprise and generating a query report.
4. The method for certification matching according to claim 1, wherein the step of adjusting the internal staff capability index of the enterprise by a preset method and generating a new index in S3 further includes the following steps:
s31, combining the vocational education and training indexes with the personnel ability indexes in the enterprise to generate new indexes;
and S32, quantifying the improvement of the ability of the trained personnel through a big data algorithm, and then matching all quantified data to obtain a result.
5. The method for certification matching according to a blockchain intelligent contract of claim 1, wherein the step of performing dynamic course assignment according to the difference between the internal personnel capability index of the enterprise and the new index in S5 further comprises the following steps:
s51, confirming the internal personnel of the enterprise participating in training;
s52, fitting a training scheme by adopting a dynamic algorithm according to the difference of the personnel capacity inside the enterprise participating in the training;
and S53, adaptively distributing the training courses in the training scheme to the personnel in the enterprise participating in the training.
6. The certification matching method based on the blockchain intelligent contract according to claim 1, wherein the training and evaluating of the personnel in the enterprise through the preset scheme in the step S7 further comprises the following steps:
s71, recording and storing the training progress of personnel in the enterprise;
s72, carrying out statistics again on the capability indexes of the personnel in the enterprise participating in the training after the course is finished;
s73, obtaining a brand-new capability spectrogram of each enterprise internal personnel participating in training by adopting a fitting algorithm;
and S74, checking the capability spectrogram with a database.
7. The method for matching certification based on a blockchain intelligent contract according to claim 1, wherein the step of selecting the personnel outside the enterprise through the pre-manufactured solution in the step S8 further comprises the following steps:
s81, counting the application information of the corresponding engaging personnel through a preset channel;
s82, authenticating the resume and the certificate of the corresponding hiring person;
s83, obtaining the capacity spectrogram of each applicant by adopting a fitting algorithm;
and S84, checking the capacity spectrogram of the applicant with a database.
8. The method of claim 1, wherein the predetermined channel includes but is not limited to social recruitment.
9. An authentication matching system based on blockchain intelligent contracts, which is used for realizing the steps of the authentication matching method based on blockchain intelligent contracts in any one of claims 1-8, and is characterized in that the system comprises: the device comprises an acquisition module, a checking module, a judgment module and an output module;
the system comprises an acquisition module, a database management module and a database management module, wherein the acquisition module is used for establishing the database according to a preset standard, adjusting the personnel capacity index in an enterprise by a preset method and generating a new index;
the checking module is used for checking the personnel capacity indexes inside the enterprise with the database and checking the new personnel capacity indexes inside the enterprise with the database;
the judging module is used for judging whether the capability index of the personnel in the enterprise meets the requirement of a preset standard, judging whether the new capability index of the personnel in the enterprise meets the requirement of the preset standard, judging whether the training time is finished before the starting time of a new project and a new post of the enterprise and judging whether the trained personnel in the enterprise meet the requirement of the preset standard;
and the output module is used for selecting the personnel meeting the requirements of the new project and the new post.
10. The system of claim 9, wherein the predetermined criteria in the collection module are personnel capacity indicators required for new projects and new posts of the enterprise.
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| CN112966956A (en) * | 2021-03-18 | 2021-06-15 | 四川跨客通科技有限公司 | Professional ability assessment system and method based on union link contract technology |
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