CN115660250B - Intelligent management system for personnel information of trunk - Google Patents
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Abstract
The invention provides an intelligent management system for personnel information of a trunk, which comprises the following components: the collection construction module is used for constructing a historical personnel file collection of each trunk of different trunk units, and the information combination module is used for determining information change combination of the corresponding trunk; the change determining module is used for determining the change condition of the working content and the change condition of the position of the corresponding trunk; the identifier construction module is used for extracting key information of the latest electronic file and constructing a key identifier of the latest electronic file; the dividing module is used for extracting the available marks in the key marks of each trunk of the same trunk unit according to the unit screening index, and carrying out grade division on the trunk of the same trunk unit according to the change condition to obtain a final division result; the information management module is used for acquiring the result parameters of each sub-division result in the final division result, and realizing management of the personnel information of the trunk according to the matched management mode, so that the management efficiency can be ensured.
Description
Technical Field
The invention relates to the technical field of information management, in particular to an intelligent management system for personnel information of a trunk.
Background
The recorded personnel information can reflect personal experiences, social relations, talents and professional abilities of related personnel, under the market situation of a new age, the traditional personnel information management method cannot meet the development demands of society due to continuous progress of social management and scientific technology, and the traditional management mode is single in management means and is generally based on personnel removal management, but new registration information is needed due to the fact that personnel can have work fluctuation in the same unit, personnel misoperation and other conditions can exist in the process, unreasonable division can occur in the personnel division management process, unreasonable personnel information management is further caused, and personnel information management efficiency is reduced.
Therefore, the invention provides an intelligent management system for the personnel information of the trunk.
Disclosure of Invention
The invention provides an intelligent management system for personnel information of a trunk, which is used for extracting work variation and position variation by determining information modification combination of the same trunk, constructing key marks on the basis of a latest electronic file, carrying out mark extraction by unit indexes and carrying out grading by combining the work variation and the position variation, further acquiring a management mode, effectively managing the personnel information of the trunk and further improving management efficiency.
The embodiment of the invention provides an intelligent management system for staff information of a trunk, which comprises the following components:
the collection construction module is used for constructing a historical personnel file collection of each trunk of different trunk units, wherein the historical personnel file collection comprises: personnel files with different information changes;
the information combination module is used for determining information change combination of the corresponding trunk according to the historical personnel file set;
the change determining module is used for determining the change condition of the working content and the change condition of the position of the corresponding trunk according to the information change combination;
the identification construction module is used for acquiring the latest electronic file of each trunk in different trunk units, extracting key information of the latest electronic file and constructing a key identification of the latest electronic file;
the dividing module is used for extracting the available marks in the key marks of each trunk of the same trunk unit according to the unit screening index, and carrying out grade division on the trunk of the same trunk unit according to the working content change condition and the job position change condition of the corresponding trunk unit to obtain a final division result;
and the information management module is used for acquiring the result parameters of each sub-division result in the final division result and managing the corresponding trunk personnel information according to a management mode matched with the result parameters.
Preferably, the key information includes: job information, rights information.
Preferably, the set construction module includes:
the file extraction unit is used for extracting all personnel information change files after each trunk enters the corresponding trunk unit based on the trunk management platform;
the time acquisition unit is used for respectively acquiring the change time of each personnel information change file from the trunk management platform;
a variation judging unit for determining whether there is a plurality of variations within a preset time period according to the variation time;
if the change information exists, extracting the change information of the multiple change files within the preset time period one by one;
the file screening unit is used for screening the optimal change file according to the extraction result;
the auditing unit is used for annotating the significance of the content to be audited in the optimal change file and sending the marked content to the corresponding main part end for auditing;
after the verification is passed, reserving the corresponding optimal change file, and eliminating the residual multiple change files in the corresponding preset time period;
if the verification is not passed, receiving the modification information corresponding to the trunk end, replacing the marked content, and reserving;
otherwise, reserving the change information of the multiple change files which do not meet the preset time period;
and the collection construction unit is used for constructing and obtaining a historical personnel file collection based on all the reserved historical change files.
Preferably, the file screening unit includes:
a period external comparison block for performing a first comparison between the first extracted information and the last change information before the preset period and a second comparison between the first extracted information and the first change information after the preset period;
a comparison block in the time period, configured to perform a third comparison between the last extracted information and the first change information after the preset time period, and perform a fourth comparison between the last extracted information and the last change information before the preset time period;
an array building block for building a first comparison array [ f1, f2, f3, f4] based on the first comparison result f1, the second comparison result f2, the third comparison result f3, and the fourth comparison result f 4;
meanwhile, comparing according to the change information of the multiple change files in the preset time period, and constructing a second comparison array set;
a similarity determining block configured to determine a first similarity between each second comparison array in the second comparison array set and the first comparison array [ f1, f2, f3, f4] and a second similarity within each second comparison array set;
the model analysis block is used for inputting all the first similar relations and the second similar relations into the information locking model and extracting the optimal change file from the multiple change files;
and when one change information exists in the second comparison array set, determining a second similar relation is not performed.
Preferably, the information combination module includes:
the information extraction unit is used for extracting history change information of every two adjacent history personnel files;
the change determining unit is used for determining the change type and the change content of each piece of history change information and further determining the change grade;
the label setting unit is used for setting a change label to a second historical personnel file in the corresponding adjacent two historical personnel files according to the change type, the change content and the change grade;
and the change combination unit is used for sequentially arranging all the change labels to obtain information change combination.
Preferably, the change determining module includes:
a tag obtaining unit, configured to obtain each change tag in the information change combination;
the label analysis unit is used for carrying out label analysis on each changed label based on the label analysis model to obtain a working content change sequence and a job position change sequence;
wherein the job content change sequence is set as a job content change case and the job position change sequence is set as a job position change case.
Preferably, the identifier building module includes:
the latest information extraction unit is used for extracting relevant key information from the corresponding latest electronic file according to the information extraction standard;
the identification conversion unit is used for converting the corresponding key information into key identifications based on a position-identification database according to the extraction position of the extracted key information, and placing the key identifications in the matched placement blocks in the identification placement unit consistent with the information extraction standard;
and the key identifier acquisition unit is used for filling blank characters into the blank blocks in the identifier placement unit so as to obtain the key identifier of the latest electronic file.
Preferably, the dividing module includes:
the device comprises an identification extraction unit, a detection unit and a control unit, wherein the identification extraction unit is used for obtaining a unit screening index of a current trunk unit and extracting key identifications of each related trunk unit according to the unit screening index;
the value calculation unit is used for obtaining the current available mark of each trunk according to the extraction result and respectively calculating the available value of the current available mark;
the first coefficient determining unit is used for determining a first influence coefficient of the working content change condition of the corresponding trunk part on the unit screening index and a first matching coefficient of the unit screening index and the current available mark of the corresponding trunk part;
the second coefficient determining unit is used for determining a second influence coefficient of the position change condition of the corresponding trunk part on the unit screening index and a second matching coefficient of the current available mark of the corresponding trunk part;
the value correction unit is used for correcting the corresponding available value based on the first influence coefficient, the second influence coefficient, the first matching coefficient and the second matching coefficient;
and sequencing and dividing all the correction values of the same main unit to obtain a final division result.
Preferably, the information management module includes:
the grade acquisition unit is used for acquiring the sorting grade of each sub-division result in the final division result and the number of the included correction values;
the mode matching unit is used for matching the management modes consistent with the sorting grade and the correction value number from the management database and managing the corresponding trunk personnel information.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a block diagram of an intelligent management system for trunk personnel information in an embodiment of the invention;
fig. 2 is a block diagram of a set building block in an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides an intelligent management system for trunk personnel information, as shown in fig. 1, comprising:
the collection construction module is used for constructing a historical personnel file collection of each trunk of different trunk units, wherein the historical personnel file collection comprises: personnel files with different information changes;
the information combination module is used for determining information change combination of the corresponding trunk according to the historical personnel file set;
the change determining module is used for determining the change condition of the working content and the change condition of the position of the corresponding trunk according to the information change combination;
the identification construction module is used for acquiring the latest electronic file of each trunk in different trunk units, extracting key information of the latest electronic file and constructing a key identification of the latest electronic file;
the dividing module is used for extracting the available marks in the key marks of each trunk of the same trunk unit according to the unit screening index, and carrying out grade division on the trunk of the same trunk unit according to the working content change condition and the job position change condition of the corresponding trunk unit to obtain a final division result;
and the information management module is used for acquiring the result parameters of each sub-division result in the final division result and managing the corresponding trunk personnel information according to a management mode matched with the result parameters.
Preferably, the key information includes: job information, rights information.
In this embodiment, since each unit has a corresponding promotion system, personnel files of each trunk need to be acquired, and each time a job change is performed on the same trunk or a new job content or job content is added on the same job, the historical personnel files are personnel information of the trunk and information related to the resume need to be recorded again, and a historical personnel file set is obtained by unifying all the historical personnel files of the staff.
In this embodiment, the information modification combination is constructed based on the change condition of adjacent personal files based on time sequence in the history personal file collection.
In this embodiment, there is in the information modification combination: job change, and the like, and thus, job content change conditions and job change conditions can be acquired.
Such as: historical personnel file 1: job 1, job 01, historical personnel file 2: job 2, job 01, at this time, the work content change condition: job 1-job 2, job change condition: job 01-job 01.
In this embodiment, the latest electronic file refers to a personnel file updated last time, and key information of the personnel file is extracted to construct a key identifier, wherein the key identifier is determined by extracting based on a preset key extraction model, corresponding result identifiers exist in different extraction results, and further the key identifier is constructed and obtained based on different symbol combinations.
In this embodiment, the unit screening index is obtained uniformly according to various parameters such as the working type, the working period, the qualification period and the like of the current unit, and then the available identifiers are extracted from the key identifiers according to different parameters of the unit screening index, mainly the available identifiers are analyzed, and the number of parameters corresponding to the key identifiers is larger than that of parameters corresponding to the available identifiers.
In this embodiment, the electronic file may include working experience, age, gender, etc. included in the resume, and key identifiers such as: 1111000022223333, wherein the available mark obtained by screening according to the index is 11112222.
In this embodiment, there are trunk parts 1, 2, 3, and 4, at this time, the identification value corresponding to each trunk part can be obtained according to the available identification, and can be understood as the important value for the screening index, and then, the identification value is optimized according to the working content variation condition and the job position variation condition, and because there are the conditions of cross-department variation and the like and the conditions of continuous ascending of the same department or job falling of the same department, the identification value is optimized according to these influencing factors, so that the accuracy of grading can be ensured, and an accurate basis is provided for the subsequent matching management mode.
In this embodiment, the result parameter is related to the ranking level and the number of correction values, so that the management mode matching the ranking level and the number of correction values is extracted from the preset database to manage the main personnel information, where the preset database includes different ranking levels, the number of correction values and the matched management mode, and where the management confidentiality corresponding to different ranking levels may be different.
The beneficial effects of the technical scheme are as follows: the information modification combination of the same trunk is determined to extract the work change and the position change, the key mark is constructed on the basis of the latest electronic file, the mark extraction is carried out through the unit index, the classification is carried out by combining the work change and the position change, the management mode is further obtained, the personnel information of the trunk is effectively managed, and the management efficiency is further improved.
The embodiment of the invention provides an intelligent management system for trunk personnel information, wherein the collection construction module, as shown in fig. 2, comprises:
the file extraction unit is used for extracting all personnel information change files after each trunk enters the corresponding trunk unit based on the trunk management platform;
the time acquisition unit is used for respectively acquiring the change time of each personnel information change file from the trunk management platform;
a variation judging unit for determining whether there is a plurality of variations within a preset time period according to the variation time;
if the change information exists, extracting the change information of the multiple change files within the preset time period one by one;
the file screening unit is used for screening the optimal change file according to the extraction result;
the auditing unit is used for annotating the significance of the content to be audited in the optimal change file and sending the marked content to the corresponding main part end for auditing;
after the verification is passed, reserving the corresponding optimal change file, and eliminating the residual multiple change files in the corresponding preset time period;
if the verification is not passed, receiving the modification information corresponding to the trunk end, replacing the marked content, and reserving;
otherwise, reserving the change information of the multiple change files which do not meet the preset time period;
and the collection construction unit is used for constructing and obtaining a historical personnel file collection based on all the reserved historical change files.
In this embodiment, the personnel change file, that is, the file with the change of the job position, job content, is a change in the preset time period, for example, a change of more than 1 time in 3 days, because input errors and the like occur during the manual adjustment of the file to be changed each time, which results in a plurality of changes in a certain time period.
In this embodiment, the optimal change file refers to the most reliable file in the multiple change files, and after screening, the change content in the optimal change file needs to be marked with significance, such as highlighting, so that the optimal change file is convenient for the dryer end to audit, and an effective basis is provided for the subsequent classification mainly for ensuring the most reliable file with multiple changes in a preset time period.
The beneficial effects of the technical scheme are as follows: the optimal change file is screened by judging multiple changes in a preset time period, and whether the file needs content replacement or not is effectively determined by checking the file, so that an effective basis is provided for subsequent grading.
The embodiment of the invention provides an intelligent management system for trunk personnel information, which comprises a file screening unit, a file processing unit and a file processing unit, wherein the file screening unit comprises:
a period external comparison block for performing a first comparison between the first extracted information and the last change information before the preset period and a second comparison between the first extracted information and the first change information after the preset period;
a comparison block in the time period, configured to perform a third comparison between the last extracted information and the first change information after the preset time period, and perform a fourth comparison between the last extracted information and the last change information before the preset time period;
an array building block for building a first comparison array [ f1, f2, f3, f4] based on the first comparison result f1, the second comparison result f2, the third comparison result f3, and the fourth comparison result f 4;
meanwhile, comparing according to the change information of the multiple change files in the preset time period, and constructing a second comparison array set;
a similarity determining block configured to determine a first similarity between each second comparison array in the second comparison array set and the first comparison array [ f1, f2, f3, f4] and a second similarity within each second comparison array set;
the model analysis block is used for inputting all the first similar relations and the second similar relations into the information locking model and extracting the optimal change file from the multiple change files;
and when one change information exists in the second comparison array set, determining a second similar relation is not performed.
In this embodiment, the best change file is obtained, so that the file can be effectively screened, so as to improve the auditing efficiency of the trunk, avoid the repeated auditing work of the trunk and reduce the information management efficiency.
In this embodiment, the change information may include a change type, such as a position change, a work content change, and the like.
In this embodiment, the second set of comparison arrays includes: sequentially comparing a first change file with a second change file and subsequent change files based on the first change file in the plurality of change files; and comparing the second change file with the third change file and the following change files in turn in the plurality of change files until the last change file is compared with the last change file and then stopping, wherein a second comparison array is obtained after each current change file is compared with the change file after the current change file.
In this embodiment, the variation within 3 days is within a preset period: change information 1, change information 2, change information 3, at this time, the first extracted information is change information 1, and the last extracted information is change information 3.
In this embodiment, the variation information 01 is stored for a preset period of 3 days: the fluctuation information 1, the fluctuation information 2, the fluctuation information 3, the fluctuation information 02, and in this case, the fluctuation information 01 is the last fluctuation information, and the fluctuation information 02 is the first fluctuation information.
In this embodiment, the first comparison array [ f1, f2, f3, f4] is: f1 is the fluctuation information 1-the fluctuation information 01, f2 is the fluctuation information 1-the fluctuation information 02, f3 is the fluctuation information 3-the fluctuation information 02, and f4 is the fluctuation information 3-the fluctuation information 01.
In this example, the variation within 3 days is within a preset period of time: change information 1, change information 2, change information 3, based on:
a first one of the second set of comparison arrays: change information 1-change information 2, change information 1-change information 3;
a second comparison array: change information 2-change information 3.
In this embodiment, the first similarity relationship and the second similarity relationship mainly refer to similarities between the change information, and are mainly used for sequentially excluding analysis for each change in the case of multiple changes in the preset time period.
In this embodiment, the information locking model is trained in advance, and is obtained by training samples based on different similarity relation combinations and file positions related to the similarity relation combinations, so that an optimal change file can be extracted from multiple change files.
When the similarity relationship is calculated, sim (the respective pieces of modification information in the second comparison array) is obtained based on sim (the second comparison array, the first comparison array).
When there is a modification information in the second comparison array, the second similarity relationship is not determined.
The beneficial effects of the technical scheme are as follows: by carrying out the similarity analysis of the change information in the array and the change information outside the array, the similarity result can be effectively determined, further, different similarity relation combinations are analyzed based on the corresponding model, the optimal change file is effectively extracted, and the guarantee is provided for the follow-up information management.
The embodiment of the invention provides an intelligent management system for trunk personnel information, which comprises an information combination module, a management module and a management module, wherein the information combination module comprises:
the information extraction unit is used for extracting history change information of every two adjacent history personnel files;
the change determining unit is used for determining the change type and the change content of each piece of history change information and further determining the change grade;
the label setting unit is used for setting a change label to a second historical personnel file in the corresponding adjacent two historical personnel files according to the change type, the change content and the change grade;
and the change combination unit is used for sequentially arranging all the change labels to obtain information change combination.
In this embodiment, in determining the change level, it includes:
wherein, the oc 1 represents a type weight corresponding to the change type; oc 2 represents the content weight corresponding to the changed content; s2 represents a content change value corresponding to the changed content; y1 represents the corresponding final change value;
and according to the final change value, matching from a change value-level mapping table to obtain a corresponding change level.
In this embodiment, the change more tag is obtained based on matching in the type-content-level-tag database, and the information change combination is obtained by sorting tags, and the information change combination is obtained based on the first historical personnel file.
The beneficial effects of the technical scheme are as follows: by extracting the history change information, the change grade is determined, and then the change label is set, so that the information change combination can be obtained effectively.
The embodiment of the invention provides an intelligent management system for trunk personnel information, wherein the change determining module comprises:
a tag obtaining unit, configured to obtain each change tag in the information change combination;
the label analysis unit is used for carrying out label analysis on each changed label based on the label analysis model to obtain a working content change sequence and a job position change sequence;
wherein the job content change sequence is set as a job content change case and the job position change sequence is set as a job position change case.
In this embodiment, the tag analysis model is trained in advance, and the model is based on the modification sequences corresponding to the modification tags of different combinations, so that the work content modification sequence and the job position modification sequence can be obtained after the tag analysis is performed.
In this embodiment, the change tag in the information change combination: tag 1, tag 2, and tag 3, and in this case, the change sequence is obtained after analyzing tag 1, tag 2, and tag 3.
The beneficial effects of the technical scheme are as follows: by analyzing the change label based on the model, the related sequence can be effectively obtained, and an effective basis is provided for subsequent grading.
The embodiment of the invention provides an intelligent management system for trunk personnel information, wherein the identification construction module comprises:
the latest information extraction unit is used for extracting relevant key information from the corresponding latest electronic file according to the information extraction standard;
the identification conversion unit is used for converting the corresponding key information into key identifications based on a position-identification database according to the extraction position of the extracted key information, and placing the key identifications in the matched placement blocks in the identification placement unit consistent with the information extraction standard;
and the key identifier acquisition unit is used for filling blank characters into the blank blocks in the identifier placement unit so as to obtain the key identifier of the latest electronic file.
In this embodiment, the information extraction criteria are predetermined, that is, what information needs to be extracted, and thus relevant key information is extracted from the electronic file.
In this embodiment, since the format of the electronic file is fixed, what location corresponds to what identification library is preset, and information filled in corresponding locations is extracted from the identification library, so that the identification of the information can be obtained.
In this embodiment, the location-identification database includes different locations in the electronic file and identification libraries matching the locations, and thus key identifications are available.
In this embodiment, the placement unit is preset, and what content is placed by different blocks in the placement unit is preset, so as to obtain the unit content of the placement unit, that is, the key identifier.
The beneficial effects of the technical scheme are as follows: by extracting key information from the file and performing position matching, key identification can be effectively obtained, and an effective basis is provided for subsequent grading.
The embodiment of the invention provides an intelligent management system for trunk personnel information, wherein the dividing module comprises:
the device comprises an identification extraction unit, a detection unit and a control unit, wherein the identification extraction unit is used for obtaining a unit screening index of a current trunk unit and extracting key identifications of each related trunk unit according to the unit screening index;
the value calculation unit is used for obtaining the current available mark of each trunk according to the extraction result and respectively calculating the available value of the current available mark;
the first coefficient determining unit is used for determining a first influence coefficient of the working content change condition of the corresponding trunk part on the unit screening index and a first matching coefficient of the unit screening index and the current available mark of the corresponding trunk part;
the second coefficient determining unit is used for determining a second influence coefficient of the position change condition of the corresponding trunk part on the unit screening index and a second matching coefficient of the current available mark of the corresponding trunk part;
the value correction unit is used for correcting the corresponding available value based on the first influence coefficient, the second influence coefficient, the first matching coefficient and the second matching coefficient;
and sequencing and dividing all the correction values of the same main unit to obtain a final division result.
In this embodiment, the unit screening index is a screening index configured for different kinds of work and related parameters such as age, sex, work variation, job position variation, etc.
In this embodiment, the calculation formula of the available value is as follows:
wherein K represents a corresponding available value; m1 represents the number of sub-identifications of the currently available identifications determined based on the unit screening index; h is a j1 Representing the identification value corresponding to the j1 sub-identification, wherein the value range is [0,1]；h0 j1 Representing a reference value corresponding to the j1 th sub-identifier; exp represents the sign of the exponential function;represents from m 1->The maximum value obtained in the step (a); />Representing the comparison value of the j1 st child identifier.
In this embodiment:
first influence coefficient:
second influence coefficient:
first matching coefficient:
sim (first change index for extracting change of working content, unit screening index)
Second matching coefficient:
sim (second change index for extracting position change condition, unit screening index)
In this embodiment, the correction value is calculated as follows:
wherein K0 represents a corresponding correction value;representing coefficient weights based on the influence coefficients; />Representing coefficient weights based on the matching coefficients; w1 represents a first influence coefficient; w2 represents a second influence coefficient; r1 represents a first matching coefficient; r2 represents a second matching coefficient.
The beneficial effects of the technical scheme are as follows: by extracting the marks, calculating the available values of different current available marks, the influence coefficients and the matching coefficients caused by the change condition of working contents and the change condition of positions, the reliability of the calculation of the follow-up correction value is ensured, the basis is provided for the follow-up grading, the reliability of the grading is ensured, and an effective basis is provided for management.
The embodiment of the invention provides an intelligent management system for trunk personnel information, which comprises an information management module, a control module and a control module, wherein the information management module comprises:
the grade acquisition unit is used for acquiring the sorting grade of each sub-division result in the final division result and the number of the included correction values;
the mode matching unit is used for matching the management modes consistent with the sorting grade and the correction value number from the management database and managing the corresponding trunk personnel information.
In this embodiment, the ranking level is a level value, and the number of correction values included in the ranking level is different, so that effective management of information can be achieved by matching corresponding management manners from the management database.
For example, there is information 1, 2, 3, 4, 5, at which time the subdivision result 1: information 2, information 4-2 values, level one, sub-division result 2: and at the moment, the management mode can be obtained by matching the management database.
According to job position change and the mastery degree of work, the mastery degree at the moment can be determined based on the correction value, and then the determined management mode is convenient for learning supervision and management of people with disabled mastery degree and teaching supervision and management of people with qualified mastery degree.
The beneficial effects of the technical scheme are as follows: according to the sorting grade and the number of the correction values, the management mode can be effectively matched from the database, and effective management of the trunk personnel information is realized.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (4)
1. An intelligent management system for trunk personnel information, comprising:
the collection construction module is used for constructing a historical personnel file collection of each trunk of different trunk units, wherein the historical personnel file collection comprises: personnel files with different information changes;
the information combination module is used for determining information change combination of the corresponding trunk according to the historical personnel file set;
the change determining module is used for determining the change condition of the working content and the change condition of the position of the corresponding trunk according to the information change combination;
the identification construction module is used for acquiring the latest electronic file of each trunk in different trunk units, extracting key information of the latest electronic file and constructing a key identification of the latest electronic file;
the dividing module is used for extracting the available marks in the key marks of each trunk of the same trunk unit according to the unit screening index, and carrying out grade division on the trunk of the same trunk unit according to the working content change condition and the job position change condition of the corresponding trunk unit to obtain a final division result;
the information management module is used for acquiring the result parameters of each sub-division result in the final division result and managing corresponding trunk personnel information according to a management mode matched with the result parameters;
wherein, the division module includes:
the device comprises an identification extraction unit, a detection unit and a control unit, wherein the identification extraction unit is used for obtaining a unit screening index of a current trunk unit and extracting key identifications of each related trunk unit according to the unit screening index;
the value calculation unit is used for obtaining the current available mark of each trunk according to the extraction result and respectively calculating the available value of the current available mark;
the first coefficient determining unit is used for determining a first influence coefficient of the working content change condition of the corresponding trunk part on the unit screening index and a first matching coefficient of the unit screening index and the current available mark of the corresponding trunk part;
the second coefficient determining unit is used for determining a second influence coefficient of the position change condition of the corresponding trunk part on the unit screening index and a second matching coefficient of the current available mark of the corresponding trunk part;
the value correction unit is used for correcting the corresponding available value based on the first influence coefficient, the second influence coefficient, the first matching coefficient and the second matching coefficient;
sequencing and dividing all correction values of the same main unit to obtain a final division result;
wherein the calculation formula of the available value is as follows:
wherein K represents a corresponding available value; m1 represents the number of sub-identifications of the currently available identifications determined based on the unit screening index; h is a j1 Representing the j1 st sub-identifier correspondenceThe range of the identification value of (2) is [0,1 ]]；h0 j1 Representing a reference value corresponding to the j1 th sub-identifier; exp represents the sign of the exponential function;represents from m 1->The maximum value obtained in the step (a); />A comparison value representing the j1 st child identifier;
wherein, the calculation formula of the correction value is as follows:
wherein K0 represents a corresponding correction value;representing coefficient weights based on the influence coefficients; />Representing coefficient weights based on the matching coefficients; w1 represents a first influence coefficient; w2 represents a second influence coefficient; r1 represents a first matching coefficient; r2 represents a second matching coefficient;
wherein, the information combination module includes:
the information extraction unit is used for extracting history change information of every two adjacent history personnel files;
the change determining unit is used for determining the change type and the change content of each piece of history change information and further determining the change grade;
the label setting unit is used for setting a change label to a second historical personnel file in the corresponding adjacent two historical personnel files according to the change type, the change content and the change grade;
the change combination unit is used for sequentially arranging all change labels to obtain information change combination;
wherein, in the process of determining the change level, the method comprises the following steps:
wherein, the oc 1 represents a type weight corresponding to the change type; oc 2 represents the content weight corresponding to the changed content; s2 represents a content change value corresponding to the changed content; y1 represents the corresponding final change value;
according to the final change value, matching from a change value-level mapping table to obtain a corresponding change level;
wherein, the information management module includes:
the grade acquisition unit is used for acquiring the sorting grade of each sub-division result in the final division result and the number of the included correction values;
the mode matching unit is used for matching management modes consistent with the sorting grade and the correction value number from the management database and managing corresponding trunk personnel information;
wherein the set construction module comprises:
the file extraction unit is used for extracting all personnel information change files after each trunk enters the corresponding trunk unit based on the trunk management platform;
the time acquisition unit is used for respectively acquiring the change time of each personnel information change file from the trunk management platform;
a variation judging unit for determining whether there is a plurality of variations within a preset time period according to the variation time;
if the change information exists, extracting the change information of the multiple change files within the preset time period one by one;
the file screening unit is used for screening the optimal change file according to the extraction result;
the auditing unit is used for annotating the significance of the content to be audited in the optimal change file and sending the marked content to the corresponding main part end for auditing;
after the verification is passed, reserving the corresponding optimal change file, and eliminating the residual multiple change files in the corresponding preset time period;
if the verification is not passed, receiving the modification information corresponding to the trunk end, replacing the marked content, and reserving;
otherwise, reserving the change information of the multiple change files which do not meet the preset time period;
the collection construction unit is used for constructing and obtaining a historical personnel file collection based on all the reserved historical change files;
wherein, the file screening unit includes:
a period external comparison block for performing a first comparison between the first extracted information and the last change information before the preset period and a second comparison between the first extracted information and the first change information after the preset period;
a comparison block in the time period, configured to perform a third comparison between the last extracted information and the first change information after the preset time period, and perform a fourth comparison between the last extracted information and the last change information before the preset time period;
an array building block for building a first comparison array [ f1, f2, f3, f4] based on the first comparison result f1, the second comparison result f2, the third comparison result f3, and the fourth comparison result f 4;
meanwhile, comparing according to the change information of the multiple change files in the preset time period, and constructing a second comparison array set;
a similarity determining block configured to determine a first similarity between each second comparison array in the second comparison array set and the first comparison array [ f1, f2, f3, f4] and a second similarity within each second comparison array set;
the model analysis block is used for inputting all the first similar relations and the second similar relations into the information locking model and extracting the optimal change file from the multiple change files;
and when one change information exists in the second comparison array set, determining a second similar relation is not performed.
2. The intelligent management system for thoroughfare personnel information of claim 1, wherein the key information comprises: job information, rights information.
3. The intelligent management system for thoroughfare personnel information of claim 1, wherein the change determination module comprises:
a tag obtaining unit, configured to obtain each change tag in the information change combination;
the label analysis unit is used for carrying out label analysis on each changed label based on the label analysis model to obtain a working content change sequence and a job position change sequence;
wherein the job content change sequence is set as a job content change case and the job position change sequence is set as a job position change case.
4. The intelligent management system for thoroughfare personnel information of claim 1, wherein the identity construction module comprises:
the latest information extraction unit is used for extracting relevant key information from the corresponding latest electronic file according to the information extraction standard;
the identification conversion unit is used for converting the corresponding key information into key identifications based on a position-identification database according to the extraction position of the extracted key information, and placing the key identifications in the matched placement blocks in the identification placement unit consistent with the information extraction standard;
and the key identifier acquisition unit is used for filling blank characters into the blank blocks in the identifier placement unit so as to obtain the key identifier of the latest electronic file.
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