Personnel information intelligent management system and method

Abstract

The invention provides an intelligent personnel information management system and method, and relates to the technical field of personnel information management, and the system comprises a first obtaining unit which is used for obtaining the work record data of a user; the updating unit is used for updating the capability indexes of the users based on the initial capability indexes according to the work record data of the users so as to obtain updated capability indexes; the second acquisition unit is used for acquiring undertaking item information; the analysis unit is used for analyzing the undertaking project information to obtain all project capability indexes corresponding to the undertaking project information; and the selection unit is used for correspondingly selecting the updated capability indexes according to the project capability indexes to obtain a selection result. According to the management system and method provided by the invention, the personnel information management capability during project undertaking can be quickly improved, and the intelligent level of project undertaking personnel allocation is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of personnel information management, and particularly to a personnel information intelligent management system and method. Background Art

[0002] The process of personnel arrangement for undertaking a project is a complex and crucial link. A reasonable personnel arrangement can ensure the smooth progress of the project and achieve the expected goals. During the process of selecting personnel for undertaking a project, it is necessary to form the core members in the project team according to the actual expected goal requirements, and the overall composed of each core member also needs to possess all the skill capabilities to undertake the project.

[0003] In the existing personnel information management process, when undertaking a new project, it is impossible to quickly and accurately complete the personnel arrangement that meets the requirements of undertaking the project according to the expected goals required by the project, resulting in low efficiency of personnel management when undertaking the project and unable to quickly carry out the project undertaking work. Summary of the Invention

[0004] In view of the above-mentioned disadvantages of the prior art, the purpose of the present invention is to provide a personnel information intelligent management system and method, which are used to solve the problem that in the process of personnel information management in the prior art, when undertaking a new project, it is impossible to quickly and accurately complete the personnel arrangement that meets the requirements of undertaking the project according to the expected goals required by the project, resulting in low efficiency of personnel management when undertaking the project.

[0005] To achieve the above object and other related objects, the present invention provides a personnel information intelligent management system, including: a first acquisition unit for acquiring the work record data of users; an update unit for updating the ability indicators of users based on the initial ability indicators according to the work record data of each user to obtain updated ability indicators; a second acquisition unit for acquiring the information of the project to be undertaken; an analysis unit for analyzing the information of the project to be undertaken to obtain all the project ability indicators corresponding to the information of the project to be undertaken; a selection unit for correspondingly selecting the updated ability indicators according to the project ability indicators to obtain a selection result; and a project undertaking unit for outputting the user information corresponding to the selection result according to the selection result for project undertaking.

[0006] In an embodiment of the present invention, the management system further includes an ability evaluation unit for constructing the initial ability indicators; the ability evaluation unit includes: an archive acquisition module for acquiring the initial personnel archives of all users; a creation module for creating a skill chain I according to the initial personnel archives of each user; wherein, the skill chain I includes skill types [1, 2,..., i] and skill information [T1, T2,..., T i ; and an evaluation module for evaluating the skill information [T1, T2,..., Ti Perform a skill assessment to obtain the ability scores of the corresponding skills as the initial ability indicators corresponding to each skill type. 01 ,E 02 ,...,E 0i .

[0007] In an embodiment of the present invention, the update unit includes: a search module for looking up, according to the skill types [1, 2,..., i] corresponding to the skill chain I, the read sub-items [1, 2,..., n] corresponding to the j-th acquisition of work record data; a read module for performing a read operation on the work record data according to the read sub-items [1, 2,..., n] to obtain the sub-item data [R1, R2,..., R n ; and an index statistics module for obtaining the updated ability indicators [E n , E 01 , E 02 ,..., E 0i based on the sub-item data [R1, R2,..., R z1 , E z2 ,..., E zi .

[0008] In an embodiment of the present invention, the index statistics module includes: a compensation calculation module for obtaining the total compensation ability indicators [∑E n , ∑E j1 ,..., ∑E j2 corresponding to the first j ability compensations according to the sub-item data [R1, R2,..., R ji and the acquisition times j of the work record data; and an index update module for obtaining the updated ability indicators [E j1 + ∑E j2 ,..., E ji based on the total compensation ability indicators [∑E 01 , E 02 ,..., E 0i corresponding to the first j ability compensations and the initial ability indicators [E 01 + ∑E j1 , E 02 + ∑E j2 ,..., E 0i + ∑E ji .

[0009] In an embodiment of the present invention, the compensation calculation module includes: a sub-item evaluation module for evaluating the sub-item data [R1, R2,..., R nPerform an evaluation to obtain the sub-item data [R1, R2,..., R n corresponding sub-item completion degrees [C1, C2,..., C n ; a compensation conversion module, configured to, according to the sub-item weights [ω1, ω2,..., ω n and sub-item completion degrees [C1, C2,..., C n of each read sub-item [1, 2,..., n], perform an ability index conversion on the sub-item data [R1, R2,..., R n to obtain the compensation ability index E of the work record data ji =∑C n ×ω n ; and an accumulation module, configured to, according to the compensation ability indexes [E j1 , E j2 ,..., E ji and the acquisition times j of the work record data, obtain the total compensation ability indexes [∑E j1 , ∑E j2 ,..., ∑E ji corresponding to the first j times of ability compensation.

[0010] In an embodiment of the present invention, the sub-item evaluation module includes: a parsing module, configured to parse the sub-item data [R1, R2,..., R n to obtain the parameter values [A1, A2,..., A n corresponding to the respective sub-item data [R1, R2,..., R n ; and a completion degree calculation module, configured to, according to each parameter value [A1, A2,..., A n and its corresponding parameter limit values [A 01 , A 02 ,..., A 0n , obtain the sub-item completion degrees [C1, C2,..., C n corresponding to the respective sub-item data [R1, R2,..., R n , where

[0011] In an embodiment of the present invention, the analysis unit includes: a target extraction module, configured to perform information extraction on the received project information to obtain project target information; and a query module, configured to, according to the project target information, query and obtain all project ability indexes [X1, X2,..., X m corresponding to achieving the project target.

[0012] In an embodiment of the present invention, the selection unit includes: a detection module, configured to, for the updated ability index [E 01 +ΣEj1 , E 02 + ΣE j2 ,..., E 0i + ∑E ji for detection; a combination module, for when the user has at least one update ability index E 0a + ∑E ja ≥ X z When, then at least one update ability index E of the user 0a + ∑E ja is freely combined with at least one update ability index E of other users 0b + ∑E jb to obtain all combination forms covering all project ability indexes [X1, X2,..., X m ; a frequency statistics module, for obtaining the repetition frequencies [χ1, χ2,..., χ m of the corresponding update ability indexes in each item of the project ability indexes [X1, X2,..., X m to obtain the average repetition frequency a combination extraction module, for extracting x combination forms with the smallest average repetition frequencies from all combination forms ; and a combination selection module, for selecting the combination form with the smallest number of users from the x combination forms with the smallest average repetition frequencies as the selection result.

[0013] In an embodiment of the present invention, the project undertaking unit includes: an information query module, for obtaining each user information in the combination form of the selection result according to the combination form of the corresponding update ability indexes in the selection result; and an output module, for sending each user information in the combination form of the selection result to all parties undertaking the project for project undertaking.

[0014] To achieve the above and other related purposes, the present invention also provides a personnel information intelligent management method, including: obtaining the work record data of users through the first acquisition unit; updating the ability indexes of users based on the initial ability indexes according to the work record data of each user through the update unit to obtain updated ability indexes; obtaining the information of the undertaking project through the second acquisition unit; analyzing the information of the undertaking project through the analysis unit to obtain all project ability indexes corresponding to the information of the undertaking project; performing corresponding selection on the updated ability indexes according to the project ability indexes through the selection unit to obtain a selection result; and outputting each user information corresponding to the selection result through the project undertaking unit for project undertaking.

[0015] As described above, a personnel information intelligent management system and method of the present invention have the following beneficial effects: By using the initial personnel file, the initial ability indicators can be constructed; further, for each user, the work record data corresponding to the actual work can be used to adjust the ability indicators based on the initial ability indicators, so as to obtain the updated ability indicators that are updated in real time. And during the actual project acceptance process, according to the acceptance project information, the project ability indicators required for the acceptance of this project can be further determined. Thus, according to the updated ability indicators of each user, when evaluating the combination of users to undertake this project, the matching situation between the updated ability indicators of the user combination and the project ability indicators can be analyzed, and the best user allocation plan for undertaking this project can be obtained, so that the personnel information management ability during the acceptance of the project can be quickly improved, and the intelligent level of personnel allocation for the acceptance of the project is ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a structural block diagram of the personnel information intelligent management system provided by an embodiment of the present invention.

[0017] Figure 2 It is a schematic flowchart of the personnel information intelligent management method provided by an embodiment of the present invention.

[0018] Description of Component Labels

[0019] The first acquisition unit 10; the update unit 20; the second acquisition unit 30; the analysis unit 40; the selection unit 50; the project acceptance unit 60. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] Please refer to Figure 1 , the present invention provides a personnel information intelligent management system, including: a first acquisition unit 10, configured to acquire the work record data of users; an update unit 20, configured to update the ability indicators of users based on the initial ability indicators according to the work record data of each user, so as to obtain updated ability indicators; a second acquisition unit 30, configured to acquire acceptance project information; an analysis unit 40, configured to analyze the acceptance project information to obtain all project ability indicators corresponding to the acceptance project information; a selection unit 50, configured to perform corresponding selection on the updated ability indicators according to the project ability indicators to obtain a selection result; and a project acceptance unit 60, configured to output the user information corresponding to the selection result according to the selection result for project acceptance.

[0021] It is not difficult to find from the above that in the process of project acceptance management based on personnel information, the first acquisition unit 10 is used to acquire the work record data of the completed work of each user during the work arrangement process. The work record data can be obtained after being uploaded by the employee to the system and reviewed by the background staff; or it can be entered into the system by the background staff according to the work record materials. After the first acquisition unit 10 acquires the work record data of the corresponding user, based on the work record data of the user, analyze its impact on the user's ability indicators, and then realize the update of the user's ability indicators based on the initial ability indicators to obtain the updated updated ability indicators. As the updated ability indicators of the user are implemented and updated, when about to undertake a certain project, the second acquisition unit 30 is used to acquire the corresponding project acceptance information, and then the analysis unit 40 analyzes based on the acquired project acceptance information, and all project ability indicators required to undertake the project can be obtained. The selection unit 50 can realize the corresponding selection of the updated ability indicators according to the analyzed project ability indicators, so that the updated ability indicators can be selected to match the project ability indicators. Finally, the project acceptance unit 60 can realize obtaining the corresponding user information according to the updated ability indicators that match the project ability indicators in the selection result, and then output the corresponding user information to notify the corresponding user to undertake the project. Through the above method, the user information that meets the requirements of the acceptance project can be quickly found from the personnel information, so that the personnel docking work of the acceptance project can be completed relatively quickly.

[0022] In an embodiment of the present invention, the management system further includes an ability evaluation unit for constructing initial ability indicators; the ability evaluation unit includes: an archive acquisition module for acquiring the initial personnel archives of all users; a creation module for creating a skill chain I according to the initial personnel archives of each user; wherein, the skill chain I includes skill types [1, 2,..., i] and skill information [T1, T2,..., T i ; and an evaluation module for evaluating the skill information [T1, T2,..., T i to obtain the ability scores of the corresponding skills as the initial ability indicators [E 01 , E 02 ,..., E 0i corresponding to each skill type.

[0023] In the intelligent personnel information management system of the present invention, the initial ability indicators can also be constructed according to the initial personnel files of each user through the ability evaluation unit. When the ability evaluation unit constructs the initial ability indicators, the file acquisition module can obtain the initial personnel file of the corresponding user when there is a new user, and after obtaining the initial personnel file information, create a skill chain I to record the types of skills [1, 2,..., i] and skill information [T1, T2,..., T i . Then, through the evaluation module, the skill evaluation of each skill information [T1, T2,..., T i can be realized, so as to obtain the ability score corresponding to each skill information [T1, T2,..., T i , and use the ability score corresponding to each skill information [T1, T2,..., T i as the initial ability indicators [E 01 , E 02 ,..., E 0i corresponding to each skill type [1, 2,..., i].

[0024] In an embodiment of the present invention, the update unit 20 includes: a search module for looking up the read sub-items [1, 2,..., n] corresponding to the j-th acquisition of work record data according to the skill types [1, 2,..., i] corresponding to the skill chain I; a read module for performing a read operation on the work record data according to the read sub-items [1, 2,..., n] to obtain the sub-item data [R1, R2,..., R n corresponding to each read sub-item [1, 2,..., n]; and an index statistics module for obtaining the updated ability indicators [E n , E 01 ,..., E 02 ,..., E 0i according to the sub-item data [R1, R2,..., R z1 , E z2 ,..., E zi , the acquisition times j of the work record data, and the initial ability indicators [E

[0025] During the process of updating the ability indicators according to the work record data of each user, the update unit 20 searches for each skill type [1, 2,..., i] corresponding to the skill chain I of each user through the search module. Further, it can search for all the read sub-items [1, 2,..., n] in the repository of the skill type - read sub-items. Then, through the read module, the work record data can be read based on the read sub-items [1, 2,..., n], so as to obtain the sub-item data [R1, R2,..., R n corresponding to each read sub-item [1, 2,..., n]. If there is no corresponding sub-item data when reading the work record data based on the read sub-items [1, 2,..., n], then the corresponding sub-item data is empty. Then, through the index statistics module, according to the sub-item data [R1, R2,..., R n , the acquisition times j, and the initial ability indicators [E 01 , E 02 ,..., E 0i , the updated ability indicators [E z1 , E z2 ,..., E zi are further obtained.

[0026] In an embodiment of the present invention, the index statistics module includes: a compensation calculation module for obtaining the total compensation ability indicators [∑E n , ∑E j1 ,..., ∑E j2 corresponding to the first j times of ability compensation according to the sub-item data [R1, R2,..., R ji and the acquisition times j of the work record data; and an index update module for obtaining the updated ability indicators [E j1 + ∑E j2 , E ji + ∑E 01 ,..., E 02 + ∑E 0i according to the total compensation ability indicators [∑E 01 + ∑E j1 , E 02 + ∑E j2 ,..., E 0i + ∑E ji corresponding to the first j times of ability compensation and the initial ability indicators [E

[0027] When the index statistics module calculates the updated ability indicators [E z1 , E z2 ,…, E ziDuring the update process, each time a work record data is added, its acquisition count increases by 1, and the total acquisition count obtained is j. Moreover, through the compensation calculation module, based on the sub-item data [R1, R2,..., R n and the previous compensation ability indicators, the total compensation ability indicators [ΣE j1 , ΣE j2 ,..., ΣE ji corresponding to the first j ability compensations are further calculated by superposition. Then, after obtaining the total compensation ability indicators [ΣE j1 , ΣE j2 ,..., ΣE ji , through the indicator update module based on the initial ability indicators [E 01 , E 02 ,..., E 0i , the updated ability indicators [E 01 + ∑E j1 , E 02 + ∑E j2 , …, E 0i + ∑E ji can be further calculated. Through the above method, it is possible to realize real-time statistics of the corresponding adjustment of the updated ability indicators [E z1 , E z2 ,..., E zi each time a work record data is added to the personnel information, that is, the updated ability indicators are correspondingly updated to [E 01 + ∑E j1 , E 02 + ΣE j2 ,..., E 0i + ∑E ji .

[0028] In an embodiment of the present invention, the compensation calculation module includes: a sub-item evaluation module for evaluating the sub-item data [R1, R2, …, R n to obtain the sub-item completion degrees [C1, C2, …, C n corresponding to each sub-item data [R1, R2,..., R n ; a compensation conversion module for converting the ability indicators of the sub-item data [R1, R2,..., R n according to the sub-item weights [ω1, ω2, …, ω n and the sub-item completion degrees [C1, C2,..., C n of each read sub-item [1, 2, …, n] to obtain the compensation ability indicator E ji = ΣC n × ω n; and an accumulation module, configured to obtain the total compensation ability index corresponding to the first j times of ability compensation [ΣE j1 , E j2 ,..., E ji according to the compensation ability index [E j1 , ∑E j2 ,..., ∑E ji and the acquisition times j of the work record data.

[0029] In the process of calculating the supplementary ability index by using the compensation calculation module, the sub-item data [R1, R2,..., R n obtained by reading the work record data through the sub-item evaluation module is evaluated, so as to obtain the sub-item completion degree [C1, C2,..., C n corresponding to each sub-item data [R1, R2,..., R n . There are high and low differences among the completion degrees [C1, C2,..., C n of each sub-item, so as to clearly express the skill ability shown by the user during the work process. Then, through the compensation conversion module, it is also possible to calculate the compensation ability index according to the sub-item weights [ω1, ω2,..., ω n and the sub-item completion degrees [C1, C2,..., C n of each read sub-item [1, 2,..., n], so as to obtain the compensation ability index E ji = ∑C n × ω n of each skill type [1, 2,..., i] corresponding to each work record data. Then, through the accumulation module, according to the acquisition times j of the work record data, the compensation ability index E ji = ∑C n × ω n of each time is accumulated to obtain the total compensation ability index [∑E j1 , ∑E j2 ,..., ∑E ji corresponding to the first j times of ability compensation.

[0030] In an embodiment of the present invention, the sub-item evaluation module includes: a parsing module, configured to parse the sub-item data [R1, R2,..., R n to obtain the parameter values [A1, A2,..., A n corresponding to each sub-item data [R1, R2,..., R n ; and a completion degree calculation module, configured to calculate according to each parameter value [A1, A2,..., A n and its corresponding parameter limit value [A 01 , A 02,...,A 0n , obtain the sub-item data [R1, R2,..., R n corresponding sub-item completion degrees [C1, C2,..., C n , where

[0031] When the sub-item evaluation module evaluates the sub-item data [R1, R2,..., R n , it can parse the parameters of the sub-item data [R1, R2,..., R n through the parsing module, so as to obtain the parameter values [A1, A2,..., A n corresponding to each read sub-item data [R1, R2,..., R n . Since each sub-item data [R1, R2,..., R n has a parameter limit value [A 01 , A 02 ,..., A 0n , furthermore, the completion degree calculation module can further calculate the sub-item completion degrees [C1, C2,..., C n corresponding to each sub-item data [R1, R2,..., R n according to the parameter values [A1, A2,..., A 01 , A 02 ,..., A 0n and the parameter limit values [A n . The sub-item completion degree can be expressed as the ratio between each parameter value [A1, A2,..., A n and the corresponding parameter limit value [A n , A 01 ,..., A 02 ,..., A 0n , that is, expressed as

[0032] Specifically, when evaluating the skill information [T1, T2,..., T i , it can be in the way of obtaining the same compensation ability indicators through the read sub-items [1, 2,..., n] corresponding to the work record data, so as to obtain the initial ability indicators [E 01 , E 02 ,..., E 0i corresponding to each skill type [1, 2,..., i].

[0033] In an embodiment of the present invention, the analysis unit 40 includes: a target extraction module for extracting information from the received project information to obtain project target information; and a query module for querying, according to the project target information, all project capability indicators [X1, X2,..., X m .

[0034] When analyzing the received project information, the analysis unit 40 can, through the target extraction module, extract the project target information existing in the received project information, and the project target information also corresponds to all project capability indicators [X1, X2,..., X m required to complete the project target. Therefore, after learning the project target information, the query module can find all project capability indicators [X1, X2,..., X m corresponding to completing the project target.

[0035] In an embodiment of the present invention, the selection unit 50 includes: a detection module for detecting the updated capability indicators [E 01 +∑E j1 , E 02 +ΣE j2 ,..., E 0i +∑E ji of each user; a combination module for, when there is at least one updated capability indicator E 0a +ΣE ja ≥X z for a user, freely combining at least one updated capability indicator E 0a +ΣE ja of the user with at least one updated capability indicator E 0b +ΣE jb of other users to obtain all combination forms covering all project capability indicators [X1, X2,..., X m ; a frequency statistics module for obtaining the repetition frequencies [χ1, χ2,..., χ m of the corresponding updated capability indicators in each item of the project capability indicators [X1, X2,..., X m under each combination form to obtain the average repetition frequency a combination extraction module for extracting x combination forms with the smallest average repetition frequency from all combination forms ; and a combination selection module for selecting, from the x combination forms with the smallest average repetition frequency , the combination form with the smallest number of users as the selection result.

[0036] When the selection unit 50 selects the corresponding update capability index according to the project capability index, the update capability index [E 01 +∑E j1 ,E 02 +∑E j2 ,...,E 0i +∑E ji ] to perform threshold detection. And through the combination module, it can be realized when the user has at least one update capability indicator E 0a +∑E ja ≥X z , then at least one update capability indicator E of the user is 0a +∑E ja At least one update capability indicator E of other users 0b +∑E jb By freely combining, we can obtain the update ability index E of different users 0i +∑E ji After the combination is completed, the combination can also cover all project capability indicators [X1, X2, ..., X m Then, the number of project capability indicators [X1, X2, ..., X m ], the number of repetitions of the update capability index corresponding to each item [χ1,χ2,...,χ m ], and then according to the number of repetitions [χ1,χ2,...,χ m ], determine the combinations with the least number of repetitions to reduce the waste of capacity resources. That is, by calculating the average number of repetitions To determine the number of repetitions [χ1, χ2, ..., χ m ] of the comprehensive repetition rate. Then, the combined extraction module is used to calculate the average repetition times. In this case, the combination with the smallest average x number of repetitions χ is extracted from all the combinations. Furthermore, in order to reduce labor costs, the combination selection module will also select the combination with the least number of users from the combination with the smallest average x number of repetitions χ as the selection result, thereby obtaining the optimal result after screening the number of repetitions and the number of users of the updated capability index.

[0037] In one embodiment of the present invention, the project undertaking unit 60 includes: an information query module, which is used to obtain the user information in the combination form of the selection results according to the combination form of the corresponding update capability indicators in the selection results; and an output module, which is used to send the user information in the combination form of the selection results to the project undertaking parties for project undertaking.

[0038] In the process of project acceptance by the project acceptance unit 60 according to the user information in the combination form, through the information query module, the user information in the optimal combination form corresponding to the selection result can be determined according to the optimal combination form. And then, through the output module, according to the user information in the optimal combination form, the user information is further sent to all parties involved in the project acceptance to notify all parties to carry out project acceptance, thereby improving the efficiency of personnel management.

[0039] Please refer to FIG. 2. The present invention also provides a personnel information intelligent management method, including:

[0040] Step S10: Obtain the work record data of the user through the first acquisition unit 10;

[0041] Step S20: Update the ability index of the user based on the initial ability index according to the work record data of each user through the update unit 20 to obtain the updated ability index;

[0042] Step S30: Obtain the project acceptance information through the second acquisition unit 30;

[0043] Step S40: Analyze the project acceptance information through the analysis unit 40 to obtain all project ability indexes corresponding to the project acceptance information;

[0044] Step S50: Select the updated ability index correspondingly according to the project ability index through the selection unit 50 to obtain the selection result;

[0045] Step S60: Output the user information corresponding to the selection result through the project acceptance unit 60 according to the selection result for project acceptance.

[0046] In summary, for the personnel information intelligent management system and method disclosed by the present invention, through the initial personnel file, the construction of the initial ability index can be realized; furthermore, based on the work record data corresponding to each user in actual work, the ability index based on the initial ability index can be adjusted, so as to obtain the updated ability index that is updated in real time. And in the process of actual project acceptance, according to the project acceptance information, the project ability indexes required for this project acceptance can be further determined, so that according to the updated ability indexes of each user, when evaluating the combination of users to undertake this project, the matching situation between the updated ability indexes of the user combination and the project ability indexes can be analyzed, so as to analyze and obtain the best user allocation plan for undertaking this project, thereby quickly improving the personnel information management ability during project acceptance and ensuring the intelligent level of personnel allocation for project acceptance. Therefore, the present invention effectively overcomes various disadvantages in the prior art and has high industrial utilization value.

[0047] The above embodiments are only illustrative of the principles and effects of the present invention and are not intended to limit the present invention. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by those with ordinary knowledge in the technical field without departing from the spirit and technical ideas disclosed by the present invention should still be covered by the claims of the present invention.

Claims

1. A personnel information intelligent management system, characterized in that: include: A first acquisition unit, used to acquire the work record data of the user; An updating unit, configured to update the capability index of each user based on the initial capability index according to the work record data of each user, so as to obtain an updated capability index; The second acquisition unit is used to acquire the information of the undertaken project; An analysis unit, used to analyze the project information to obtain all project capability indicators corresponding to the project information; A selection unit, configured to select the update capability indicator according to the project capability indicator to obtain a selection result; as well as The project undertaking unit is used to output the user information corresponding to the selection result according to the selection result so as to undertake the project.

2. The intelligent personnel information management system according to claim 1 is characterized by: The management system also includes a capability assessment unit for constructing initial capability indicators; The capability assessment units include: The file acquisition module is used to obtain the initial personnel files of all users; A creation module is used to create a skill chain I according to the initial personnel file of each user; wherein the skill chain I includes skill types [1, 2, ..., i] and skill information [T1, T2, ..., T i ];as well as An evaluation module is used to evaluate the skill information [T1, T2, ..., T i ] to perform skill assessment and obtain the ability score of the corresponding skill as the initial ability index corresponding to each skill type [E 01 ,E 02 ,...,E 0i ].

3. The intelligent personnel information management system according to claim 1 is characterized in that: The updating unit comprises: A search module is used to look up a table to obtain a read sub-item [1,2,...,n] corresponding to the j-th acquisition of the work record data according to the skill type [1,2,...,i] corresponding to the skill chain I; A reading module is used to read the work record data according to the read sub-items [1, 2, ..., n] to obtain the sub-item data [R1, R2, ..., R n ];as well as Indicator statistics module, according to the sub-item data [R1, R2, ..., R n ], the number of times the work record data is obtained j and the initial capability index [E 01 ,E 02 ,...,E 0i ], and get the updated capability index [E z1 ,E z2 ,...,E zi ].

4. The intelligent management system for personnel information according to claim 3 is characterized in that: The indicator statistics module includes: The compensation calculation module is used to calculate the compensation value according to the sub-item data [R1, R2, ..., R n ] and the number of times the work record data is obtained, the total compensation capacity index corresponding to the previous j capacity compensations [∑E j1 ,∑E j2 ,...,∑E ji ];as well as The indicator updating module is used to update the total compensation capacity indicator [∑E j1 ,∑E j2 ,...,∑E ji ] and initial capability indicators [E 01 ,E 02 ,...,E 0i ], and get the updated capability index [E 01 +ΣE j1 ,E 02 +∑E j2 ,...,E 0i +∑E ji ].

5. The intelligent management system for personnel information according to claim 4 is characterized in that: The compensation calculation module comprises: The sub-item evaluation module is used to evaluate the sub-item data [R1, R2, ..., R n ] to evaluate and obtain each of the sub-item data [R1, R2, ..., R n ] corresponding to the sub-item completion degree [C1,C2,...,C n ]; A compensation conversion module is used to convert the sub-item weight [ω1,ω2,...,ω n ] and the sub-item completion degree [C1,C2,...,C n ], for the sub-item data [R1, R2, ..., R n ] to convert the capability index and obtain the compensation capability index E of the work record data ji =∑C n ×ω n ;as well as The accumulation module is used to calculate the compensation capacity index [E j1 ,E j2 ,...,E ji ] and the number of times the work record data is obtained, the total compensation capacity index corresponding to the previous j capacity compensations [∑E j1 ,∑E j2 ,...,∑E ji ].

6. The intelligent management system for personnel information according to claim 5 is characterized in that: The sub-item assessment modules include: The parsing module is used to analyze the sub-item data [R1, R2, ..., R n ] to parse and obtain the sub-item data [R1, R2, ..., R n ] corresponding to the parameter values ​​[A1,A2,...,A n ];as well as The completion degree calculation module is used to calculate the completion degree according to each of the parameter values ​​[A1, A2, ..., A n ] and its corresponding parameter limit [A 01 ,A 02 ,…,A 0n ], and obtain each of the sub-item data [R1, R2, ..., R n ] corresponding to the sub-item completion degree [C1,C2,…,C n ],in, 7. The intelligent management system for personnel information according to claim 1 is characterized in that: The analysis unit comprises: A target extraction module is used to extract information from the project information to obtain project target information; and The query module is used to query and obtain all project capability indicators [X1, X2, ..., X m ].

8. The intelligent personnel information management system according to claim 1 is characterized by: The selection unit comprises: The detection module is used to update the capability index of each user [E 01 +∑E j1 ,E 02 +ΣE j2 ,...,E 0i +∑E ji ] for testing; A combination module is used to update the capability indicator E when the user has at least one 0a +∑E ja ≥X z , then at least one update capability indicator E of the user is 0a +∑E ja At least one update capability indicator E of other users 0b +∑E jb Free combination is performed to obtain the capability indicators covering all projects [X1, X2, ..., X m ] all combinations; The frequency statistics module is used to obtain the project capability indicators [X1, X2, ..., X m ], the number of repetitions of the update capability index corresponding to each item [χ1,χ2,...,χ m ], get the average of the number of repetitions The combination extraction module is used to extract the average of x repetitions from all combinations the smallest possible combination; and Combined selection module for averaging from x number of replicates The combination with the least number of users is selected from the smallest combination as the selection result.

9. The intelligent personnel information management system according to claim 1, characterized in that: The project undertaking units include: an information query module, configured to obtain information about each user in the combination form of the selection result according to the combination form of the update capability indicators corresponding to the selection result; and The output module is used to send the user information in the combination form of the selection result to the project undertaking parties for project undertaking.

10. A method for intelligent management of personnel information, characterized in that: include: Acquire the user's work record data through the first acquisition unit; By means of an updating unit, the capability index of each user is updated based on the initial capability index according to the work record data of each user, so as to obtain an updated capability index; Acquire the undertaking project information through the second acquisition unit; Analyzing the project information through an analysis unit to obtain all project capability indicators corresponding to the project information; The selection unit selects the update capability indicator according to the project capability indicator to obtain a selection result; The project undertaking unit outputs the user information corresponding to the selection result according to the selection result to undertake the project.

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