CN114881719A - Evaluation expert intelligent extraction system - Google Patents
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Abstract
The invention relates to the technical field of computers, in particular to an intelligent extraction system for bid evaluation experts, which comprises a server, wherein the server comprises the following modules: a project new building module: the bid inviting system is used for acquiring bid inviting information and creating a bid inviting project according to the bid inviting information; an expert screening module: the system is used for randomly extracting the number of experts meeting the number condition and arranging the numbers into an evaluation expert list; a notification marking module: the system is used for sequentially contacting and informing corresponding bid evaluation experts according to the bid evaluation expert list and acquiring notification feedback; a list processing module: and the expert screening module is used for judging whether the quantity of the participated standard evaluation experts in the standard evaluation expert list obtained by the marking module meets the quantity condition, if not, the expert screening module and the informing and marking module are used for perfecting the standard evaluation expert list until the quantity of the participated standard evaluation experts meets the quantity condition. The invention solves the problems of low efficiency and easy leakage of extraction of bid evaluation experts in bidding because of more manual intervention of expert extraction and expert notification in the existing expert extraction.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an intelligent extraction system for bid evaluation experts.
Background
The bid evaluation expert is an important role in bidding items. For a bidding project, one bidder needs to be selected from a plurality of bidders by a bidding expert through a scoring method as a target for implementing the bidding project. At present, experts in a corresponding scoring expert sub-base are generally randomly drawn from the sub-base at a public resource transaction place as scoring experts for scoring.
In electronic bidding, the bid evaluation experts are generally extracted by means of random extraction. The existing expert extraction system is old and cannot meet the requirements of the existing expert extraction system, and the defects that the extraction mode is traditional, the manual intervention is more, the randomness is not strong, the confidentiality is poor, the expert management and maintenance functions are not complete and the like are notified by experts in the extraction and the expert are overcome.
Therefore, a more reasonable bid evaluation expert extraction system needs to be established, the problems existing in the existing bid evaluation expert extraction are solved, and the bid inviting and bidding management level and the bid evaluation expert extraction efficiency are improved.
Disclosure of Invention
The invention aims to provide an intelligent extraction system for bid evaluation experts, which solves the problems that the extraction efficiency of bid evaluation experts in bidding is low and the extraction is easy to leak due to the fact that the expert extraction and the expert notification of the existing expert extraction have more manual intervention.
In order to achieve the above purpose, an intelligent extraction system for bid evaluation experts is provided, which comprises a server, wherein the server comprises the following modules:
a project new building module: the bid inviting system is used for acquiring bid inviting information and creating a bid inviting project according to the bid inviting information;
an expert database: the system is used for storing the identity data information of the bid evaluation experts;
an expert screening module: the bid evaluation expert system is used for extracting screening conditions from the bid inviting information, screening bid evaluation experts meeting the screening conditions from the expert database according to the screening conditions, randomly extracting the number of the experts meeting the number conditions from the expert database, and arranging the number of the experts into a bid evaluation expert list;
a notification marking module: the system comprises a bid evaluation expert list, a bid evaluation expert server and a bid evaluation expert server, wherein the bid evaluation expert list is used for sequentially contacting corresponding bid evaluation experts of a notice according to the bid evaluation expert list, acquiring notice feedback, and adding a non-participation mark in the bid evaluation expert list if the notice feedback is non-participation; the bid evaluation expert is also used for contacting the bid evaluation expert again after the set time when the bid evaluation expert is not contacted and notified, and if the contact times exceed the set times, a non-participation mark is added in the bid evaluation expert list;
a list processing module: and the expert screening module is used for judging whether the quantity of the participated standard evaluation experts in the standard evaluation expert list obtained by the marking module meets the quantity condition, if not, the expert screening module and the informing and marking module are used for perfecting the standard evaluation expert list until the quantity of the participated standard evaluation experts meets the quantity condition.
The principle and the advantages are as follows:
1. the setting of the project new building module, the expert database and the expert screening module enables the process of random screening of the bid evaluation experts to be basically and automatically completed, participation of personnel is greatly reduced, working efficiency is improved, and the possibility that the screened bid evaluation experts are revealed is also reduced.
2. The notice marking module and the list processing module are arranged, after the random extraction of the bid evaluation experts is finished, the notice marking module automatically and sequentially contacts the corresponding bid evaluation experts to obtain notice feedback, so that the participation of personnel is greatly reduced, and the working efficiency is improved. The notice marking module also marks according to the notice feedback so as to confirm which bid evaluation experts can come and which cannot come. Thereby being convenient for supplementing the bid evaluation expert list in time. After the notice marking module marks, whether the number of the participated bid evaluation experts meets the number condition or not is judged by the list processing module, if not, the bid evaluation expert list is perfected by the expert screening module and the notice marking module until the number of the participated bid evaluation experts meets the number condition, and the whole bid evaluation expert is randomly extracted, so that the efficiency is higher, the participation of personnel is greatly reduced, and the possibility that the screened bid evaluation experts are revealed is reduced.
Further, the server further comprises the following modules:
a statistical analysis module: the system is used for counting the non-participated bid evaluation experts in the bid evaluation expert list and correspondingly calculating the non-participated times of the bid evaluation experts;
a standby analysis module: the system is used for setting the non-participation time intervals and setting different standby distribution probabilities for the non-participation time intervals; the system is also used for analyzing the corresponding non-participation time interval according to the non-participation times of each non-participation bid evaluation expert and matching the corresponding standby distribution probability; the system is also used for randomly extracting according to the standby distribution probability corresponding to the bid evaluation expert when the bid evaluation expert in the bid evaluation expert list has a non-participation record, and randomly extracting a bid evaluation expert according to the expert screening module and sorting the bid evaluation expert into a preset standby bid evaluation expert list if the bid evaluation expert in the bid evaluation expert list has the non-participation record; and the standby bid evaluation expert list is used for perfecting the bid evaluation expert list according to the standby bid evaluation expert list by informing the marking module when the list processing module judges that the number of the participated bid evaluation experts does not meet the number condition.
The more the bid evaluation experts do not participate in the process, the situation that the bid evaluation experts do not participate in the process may occur in the next random drawing, so that the time is needed for performing the additional drawing, and the efficiency is easily influenced. The standby analysis module analyzes the corresponding non-participation time interval according to the non-participation times of each non-participating bid evaluation expert and matches the corresponding standby distribution probability, when the bid evaluation expert has the attribute of the standby distribution probability, random extraction is carried out through the standby distribution probability, and if yes, one bid evaluation expert is randomly extracted according to the expert screening module; for example, the bid evaluation experts randomly take 10 times out of the drawing, five times do not participate, the spare allocation probability is 50%, when the bid evaluation experts in the random drawing have the attribute of the spare allocation probability, another drawing is performed again according to the spare allocation probability being 50%, one bid evaluation expert is taken out again as a candidate to be added into the spare bid evaluation expert list after the drawing is completed, and if the bid evaluation expert does not take the place, the bid evaluation expert is added into the bid evaluation expert list to enhance the randomness of random drawing, so that the fair and fair of bidding is guaranteed. It should be emphasized that the proposal needs to be randomly drawn for bid evaluation experts to ensure fairness and justness of bidding, and the bid evaluation experts in drawing cannot be excluded if the times of non-participation of the bid evaluation experts are large.
Further, the algorithm for randomly extracting the bid evaluation experts in the expert screening module is a Mersenne Twister random algorithm.
The Mersenne Twister algorithm (mersen rotation algorithm) is used to generate pseudo random numbers, and there are various methods for generating pseudo random numbers, such as linear congruence method, square-mean method, and the like. However, the quality of random numbers generated by the methods is not very high, and the Meisen rotation algorithm can generate high-quality pseudo random numbers, is efficient, and makes up for the defects of the traditional pseudo random number generator.
Further, the server further comprises the following modules:
a leave asking processing module: the system comprises a data processing unit, a data processing unit and a data processing unit, wherein the data processing unit is used for acquiring leave asking information of bid evaluation experts in a bid evaluation expert list and counting the quantity of leave asking of the ask asking bid evaluation experts; the system is also used for judging whether the standby bid evaluation expert list has sufficient margin according to the number of the leave requests, and if so, randomly extracting bid evaluation experts meeting the number of the leave requests from the standby bid evaluation expert list; if not, the missing amount is randomly drawn through an expert screening module.
The leave processing module is arranged to avoid the shortage of personnel quantity caused by temporary leave requests of the appraising experts, so that the related labor cost is reduced and the working efficiency is improved.
Further, the server further comprises the following modules:
the authority management module: the system comprises a server and a server, wherein the server is used for allocating different management authorities according to roles, and the roles comprise an administrator and a user;
the random code management module: the bidding evaluation expert list is used for generating a random code after the bidding evaluation expert list is complete, and sending the random code and the newly-built bidding project to an administrator in charge of the bidding project;
an export management module: and the system is used for exporting the check-in table according to the completed evaluation expert list and encrypting the check-in table through a random code.
The sign-in table can be printed a bit of time in advance before the tender evaluation expert arrives for the sign-in of tender evaluation expert, and carry out the encrypted sign-in table through random code, and the personnel of no authority can not look over, can play the problem that the tender evaluation expert list is prevented leaking, thereby guarantee the fair and impartial of tendering and bidding.
Further, the server further comprises the following modules:
the check-in table random code processing module: and the system is used for generating corresponding sign-in random codes for all the evaluation experts according to the sign-in table and sending the sign-in random codes to the corresponding evaluation experts.
The sign-in random code is used for identity confirmation of the bid evaluation expert when the bid evaluation expert signs in the field, and imposition is avoided, so that fairness and fairness of bidding are guaranteed.
Further, the server further comprises the following modules:
a warehousing application module: the system is used for acquiring application information submitted by a bid evaluation expert; the application information comprises a name, a mobile phone number, an identity card number, a selected specialty, a region, a detailed address, a working unit, a job title, a specialty and a certificate;
a warehousing auditing module: the system is used for auditing the application information, and if the application information passes the auditing, the application information is arranged into identity data information and is stored in the expert database; if not, return the reason of refusing.
Through the warehousing application module and the warehousing examination module, the management and examination of the bid evaluation experts added into the expert database are conveniently realized.
Further, the server further comprises the following modules:
a certificate management module: the system comprises a certificate information acquisition module, a certificate management module and a certificate management module, wherein the certificate information acquisition module is used for acquiring certificate information uploaded by each bid evaluation expert, and the certificate information comprises certificate expiration time; and the system is also used for calculating the certificate updating time and the certificate expiration reminding time according to the certificate expiration time, and reminding the corresponding bid evaluation experts at the certificate updating time and the certificate expiration reminding time respectively.
The certificate management module is used for conveniently managing and reminding the certificate updating time and the certificate expiration reminding time, so that the validity of the identity of the bid evaluation expert is ensured.
Further, the server further comprises the following modules:
a short message confirmation module: and the system is used for sending a confirmation short message to the bid evaluation experts agreeing to participate after all the bid evaluation experts meeting the bid evaluation condition requirements are extracted, wherein the confirmation short message comprises a bid evaluation place, an arrival time and a check-in random code.
The short message confirmation module is arranged so that the evaluation expert can participate on time and the situation that the evaluation expert cannot hear clearly and arrive late or cannot find a way when the contact notification is carried out is avoided.
Drawings
Fig. 1 is a block diagram of a flow of an intelligent extraction system for bid evaluation experts according to an embodiment of the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
examples
An intelligent extraction system for bid evaluation experts, substantially as shown in figure 1: including server, expert's end and user, the expert's end is the smart mobile phone, and it carries on APP and server communication connection. The user side is a computer side, is in communication connection with the server and is used for tendering the proxy mechanism. The server comprises the following modules:
a login module: the method is used for login of the user side;
a project new building module: the system comprises a client, a client and a system server, wherein the client is used for acquiring input bid inviting information from the client and establishing a bid inviting project according to the bid inviting information; the bid inviting information comprises project names, bidders, bid inviting agencies, bid evaluation time and screening conditions of bid evaluation experts, wherein the screening conditions comprise quantity, titles, professions, affiliated areas and the like.
An expert database: the system is used for storing the identity data information of the bid evaluation experts;
an expert screening module: the bid evaluation expert system is used for extracting screening conditions from the bid inviting information, screening bid evaluation experts meeting the screening conditions from the expert database according to the screening conditions, randomly extracting the number of the experts meeting the number conditions from the expert database, and arranging the number of the experts into a bid evaluation expert list; the algorithm for randomly extracting the bid evaluation experts in the expert screening module is a Mersene Twister random algorithm. The Mersenne Twister algorithm (mersen rotation algorithm) is used to generate pseudo random numbers, and there are various methods for generating pseudo random numbers, such as linear congruence method, square-mean method, and the like. However, the quality of random numbers generated by the methods is not very high, and the Meisen rotation algorithm can generate high-quality pseudo random numbers, is efficient, and makes up for the defects of the traditional pseudo random number generator.
A notification marking module: the system comprises a bid evaluation expert list, a bid evaluation expert server and a bid evaluation expert server, wherein the bid evaluation expert list is used for sequentially contacting corresponding bid evaluation experts of a notice according to the bid evaluation expert list, acquiring notice feedback, and adding a non-participation mark in the bid evaluation expert list if the notice feedback is non-participation; the bid evaluation expert is also used for contacting the bid evaluation expert again after the set time when the bid evaluation expert is not contacted and notified, and if the contact times exceed the set times, a non-participation mark is added in the bid evaluation expert list; in the embodiment, automatic voice calling is adopted to sequentially contact and inform corresponding bid evaluation experts, and specifically, Tencent cloud voice service is adopted to process related voice notification problems. Example of the voice notification content: (you good | this is the xxx Bid expert extraction voice announcement system, now invite you to participate in the Bid meeting at xx by xx by xx month xx in xx years, can just participate in press 1, can't participate in press 0). The voice notification content can be customized according to the enterprise situation.
A list processing module: and the judging module is used for judging whether the quantity of the participated bid evaluation experts in the bid evaluation expert list obtained by the marking module meets the quantity condition or not, and if not, continuously perfecting the bid evaluation expert list by executing the expert screening module and informing the marking module until the quantity of the participated bid evaluation experts meets the quantity condition.
A statistical analysis module: the system is used for counting the non-participated bid evaluation experts in the bid evaluation expert list and correspondingly calculating the non-participated times of the bid evaluation experts; and carrying out statistics on basic information such as total number of experts, extracted number of experts, number of participating experts, present extraction number, historical participation number, item number, extracted items, extraction statistics of nearly 7 days and number distribution of the experts, and making a statistical chart for a user to check.
A standby analysis module: the system is used for setting the non-participation time intervals and setting different standby distribution probabilities for the non-participation time intervals; the system is also used for analyzing the corresponding non-participation time interval according to the non-participation times of each non-participation bid evaluation expert and matching the corresponding standby distribution probability; the system is also used for randomly extracting according to the standby distribution probability corresponding to the bid evaluation expert when the bid evaluation expert in the bid evaluation expert list has a non-participation record, and randomly extracting a bid evaluation expert according to the expert screening module and sorting the bid evaluation expert into a preset standby bid evaluation expert list if the bid evaluation expert in the bid evaluation expert list has the non-participation record; and the standby bid evaluation expert list is used for perfecting the bid evaluation expert list according to the standby bid evaluation expert list by informing the marking module when the list processing module judges that the number of the participated bid evaluation experts does not meet the number condition.
For example, the bid evaluation expert a is randomly drawn 10 times before, but five times do not participate, the spare allocation probability set for the bid evaluation expert a by the system is 50%, when the bid evaluation expert a is drawn again, the attribute of the spare allocation probability exists, another additional drawing is performed again according to the spare allocation probability of 50%, one bid evaluation expert is drawn again as an alternative to be added into the spare bid evaluation expert list after the drawing is completed, and if the bid evaluation expert is not drawn, the bid evaluation expert is directly added into the bid evaluation expert list to enhance the randomness of random drawing, so that the fairness and justness of bidding are ensured.
A leave asking processing module: the system comprises a data processing unit, a data processing unit and a data processing unit, wherein the data processing unit is used for acquiring leave asking information of bid evaluation experts in a bid evaluation expert list and counting the quantity of leave asking of the ask asking bid evaluation experts; the system is also used for judging whether the standby bid evaluation expert list has sufficient margin according to the number of the leave requests, and if so, randomly extracting bid evaluation experts meeting the number of the leave requests from the standby bid evaluation expert list; if not, the missing amount is randomly drawn through an expert screening module.
The authority management module: the system comprises a server and a server, wherein the server is used for allocating different management authorities according to roles, and the roles comprise an administrator and a user; the users comprise company departments and staff (operators starting the random extraction of the bid evaluation experts) under the names of the company departments, and the administrators comprise common administrators and general administrators. The management authority company department authority, the employee authority, the common administrator authority and the total administrator authority.
The random code management module: the system comprises a bid evaluation expert list, a random code generation unit, a bid evaluation unit and a bid evaluation unit, wherein the bid evaluation expert list is used for generating the random code after the bid evaluation expert list is completed, and sending the random code and a newly-built bid evaluation project to an administrator in charge of the bid evaluation project, namely an account number of a company department;
an export management module: and the system is used for exporting the check-in table and the extraction record table according to the completed evaluation expert list and encrypting the check-in table and the extraction record table through random codes.
The sign-in table can be printed a bit of time in advance before the tender evaluation expert arrives for the sign-in of tender evaluation expert, and carry out the encrypted sign-in table through random code, and the personnel of no authority can not look over, can play the problem that the tender evaluation expert list is prevented leaking, thereby guarantee the fair and impartial of tendering and bidding.
The check-in table random code processing module: and the system is used for generating corresponding sign-in random codes for all the evaluation experts according to the sign-in table and sending the sign-in random codes to the corresponding evaluation experts.
The expert database management specifically comprises a warehousing application module, a warehousing examination module and a certificate management module.
A warehousing application module: the system is used for acquiring application information submitted by a bid evaluation expert through an expert terminal; the application information comprises a name, a mobile phone number, an identity card number, a selected specialty, a region, a detailed address, a working unit, a job title, a specialty and a certificate;
a warehousing auditing module: the system is used for auditing the application information, and if the application information passes the auditing, the application information is arranged into identity data information and is stored in the expert database; if not, return the reason of refusing.
A certificate management module: the system comprises a certificate information acquisition module, a certificate management module and a certificate management module, wherein the certificate information acquisition module is used for acquiring certificate information uploaded by each bid evaluation expert, and the certificate information comprises certificate expiration time; and the system is also used for calculating the certificate updating time and the certificate expiration reminding time according to the certificate expiration time, and reminding the corresponding bid evaluation experts at the certificate updating time and the certificate expiration reminding time respectively.
A short message confirmation module: and the system is used for sending a confirmation short message to the bid evaluation experts agreeing to participate after all the bid evaluation experts meeting the bid evaluation condition requirements are extracted, wherein the confirmation short message comprises a bid evaluation place, an arrival time and a check-in random code. The content of the short message is sent to two kinds, one kind is sent to the experts taking part in the bid evaluation, and the other kind is sent to the experts not taking part in the bid evaluation.
Example of the contents of the expert short messages participating in the comment bidding: (good! is an XX comment expert extraction notification system, you have confirmed participating in the comment bidding party, please see XX before XX is found on XX day XX of XX month to XXX participating in the comment bidding party, you sign a random code XXXX, if you can't participate in the comment bidding party, please call XXX 2 hours ahead of time to ask for a leave.)
Example of the content of the expert short message which cannot participate in the bid evaluation: (expert just you are you good! you have determined not to participate in this comment, the extraction information has been recorded XXX thanks for your answer). The content of the short message can be customized according to the enterprise condition.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is described herein in more detail, so that one of ordinary skill in the art, having knowledge of all the common technical knowledge in the field of the invention before the filing date or the priority date thereof, will be able to ascertain all the prior art in this field and having the capability of applying routine experimentation before this date, and having given the benefit of this disclosure, will be able to combine this invention with its own capabilities and implement various exemplary known structures or known methods without departing from the scope of the present invention. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (9)
1. The utility model provides an appraise mark expert intelligence extraction system which characterized in that: the server comprises the following modules:
a project new building module: the bid inviting system is used for acquiring bid inviting information and creating a bid inviting project according to the bid inviting information;
an expert database: the system is used for storing the identity data information of the bid evaluation experts;
an expert screening module: the bid evaluation expert system is used for extracting screening conditions from the bid inviting information, screening bid evaluation experts meeting the screening conditions from the expert database according to the screening conditions, randomly extracting the number of the experts meeting the number conditions from the expert database, and arranging the number of the experts into a bid evaluation expert list;
a notification marking module: the system comprises a bid evaluation expert list, a bid evaluation expert server and a bid evaluation expert server, wherein the bid evaluation expert list is used for sequentially contacting corresponding bid evaluation experts of a notice according to the bid evaluation expert list, acquiring notice feedback, and adding a non-participation mark in the bid evaluation expert list if the notice feedback is non-participation; the bid evaluation expert is also used for contacting the bid evaluation expert again after the set time when the bid evaluation expert is not contacted and notified, and if the contact times exceed the set times, a non-participation mark is added in the bid evaluation expert list;
a list processing module: and the expert screening module is used for judging whether the quantity of the participated standard evaluation experts in the standard evaluation expert list obtained by the marking module meets the quantity condition, if not, the expert screening module and the informing and marking module are used for perfecting the standard evaluation expert list until the quantity of the participated standard evaluation experts meets the quantity condition.
2. The intelligent extraction system for the bid evaluation experts according to claim 1, characterized in that: the server further comprises the following modules:
a statistical analysis module: the system is used for counting the non-participated bid evaluation experts in the bid evaluation expert list and correspondingly calculating the non-participated times of the bid evaluation experts;
a standby analysis module: the system is used for setting the non-participation time intervals and setting different standby distribution probabilities for the non-participation time intervals; the system is also used for analyzing the corresponding non-participation time interval according to the non-participation times of each non-participation bid evaluation expert and matching the corresponding standby distribution probability; the system is also used for randomly extracting according to the standby distribution probability corresponding to the bid evaluation expert when the bid evaluation expert in the bid evaluation expert list has a non-participation record, and randomly extracting a bid evaluation expert according to the expert screening module and sorting the bid evaluation expert into a preset standby bid evaluation expert list if the bid evaluation expert in the bid evaluation expert list has the non-participation record; and the standby bid evaluation expert list is used for perfecting the bid evaluation expert list according to the standby bid evaluation expert list by informing the marking module when the list processing module judges that the number of the participated bid evaluation experts does not meet the number condition.
3. The intelligent extraction system for the bid evaluation experts according to claim 1, characterized in that: the algorithm for randomly extracting the bid evaluation experts in the expert screening module is a Mersene Twister random algorithm.
4. The intelligent extraction system for the bid evaluation experts according to claim 2, wherein: the server further comprises the following modules:
a leave asking processing module: the system comprises a data processing unit, a data processing unit and a data processing unit, wherein the data processing unit is used for acquiring leave asking information of bid evaluation experts in a bid evaluation expert list and counting the quantity of leave asking of the ask asking bid evaluation experts; the system is also used for judging whether the standby bid evaluation expert list has sufficient margin according to the number of the leave requests, and if so, randomly extracting bid evaluation experts meeting the number of the leave requests from the standby bid evaluation expert list; if not, the missing amount is randomly drawn through an expert screening module.
5. The intelligent extraction system for the bid evaluation experts according to claim 1, characterized in that: the server further comprises the following modules:
the authority management module: the system comprises a server and a server, wherein the server is used for allocating different management authorities according to roles, and the roles comprise an administrator and a user;
the random code management module: the bidding evaluation expert list is used for generating a random code after the bidding evaluation expert list is complete, and sending the random code and the newly-built bidding project to an administrator in charge of the bidding project;
an export management module: and the system is used for exporting the check-in table according to the completed evaluation expert list and encrypting the check-in table through a random code.
6. The intelligent extraction system of the bid evaluation experts according to claim 5, characterized in that: the server further comprises the following modules:
the check-in table random code processing module: and the system is used for generating corresponding sign-in random codes for all the evaluation experts according to the sign-in table and sending the sign-in random codes to the corresponding evaluation experts.
7. The intelligent extraction system for the bid evaluation experts according to claim 1, characterized in that: the server further comprises the following modules:
a warehousing application module: the system is used for acquiring application information submitted by a bid evaluation expert; the application information comprises a name, a mobile phone number, an identity card number, a selected specialty, a region, a detailed address, a working unit, a job title, a specialty and a certificate;
a warehousing auditing module: the system is used for auditing the application information, and if the application information passes the auditing, the application information is arranged into identity data information and is stored in the expert database; if not, return the reason of refusing.
8. The intelligent extraction system of the bid evaluation experts according to claim 7, characterized in that: the server further comprises the following modules:
a certificate management module: the system comprises a certificate information acquisition module, a certificate management module and a certificate management module, wherein the certificate information acquisition module is used for acquiring certificate information uploaded by each bid evaluation expert, and the certificate information comprises certificate expiration time; and the system is also used for calculating the certificate updating time and the certificate expiration reminding time according to the certificate expiration time, and reminding the corresponding bid evaluation experts at the certificate updating time and the certificate expiration reminding time respectively.
9. The intelligent extraction system of the bid evaluation experts according to claim 6, characterized in that: the server further comprises the following modules:
a short message confirmation module: and the system is used for sending a confirmation short message to the bid evaluation experts agreeing to participate after all the bid evaluation experts meeting the bid evaluation condition requirements are extracted, wherein the confirmation short message comprises a bid evaluation place, an arrival time and a check-in random code.
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