CN113642820A - Method and system for evaluating and managing personnel data information based on big data - Google Patents
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Abstract
The invention discloses a method and a system for evaluating and managing personnel data information based on big data, wherein the method comprises the following steps: acquiring data information of newly added personnel, and performing data cleaning on the acquired data information of the newly added personnel according to a preset rule; analyzing the newly added personnel data information after data cleaning, and judging whether the newly added personnel data information comprises a filing factor; when the data information of the newly added personnel comprises a profiling factor, judging whether the newly added personnel establish a personnel digital file or not based on the profiling factor; when the newly added personnel are personnel who have established the personnel digital file, utilizing the newly added personnel data information to update the personnel data information of the personnel digital file; and updating a risk evaluation mark in the personnel data information based on the updated personnel data information of the personnel digital file, triggering a risk evaluation event, and evaluating the risk of the personnel.
Description
Technical Field
The invention relates to the technical field of data application, in particular to a method and a system for evaluating and managing personnel data information based on big data.
Background
The method for managing and controlling the personnel information by relevant departments at the present stage mainly comprises the following steps: the limit is examined equipment inspection, the limit is examined system personnel and is checked, the system certificate of going out and entering, etc., it is comparatively single to go up means personnel management and control mode, data sources is few, management system function dispersion, often need use the different system of several to check, in-process is compared in the check, generally call and single show personnel relevant information, the data type that different systems insert is different, information is isolated, need just can confirm the sensitive degree of the personnel of going out and entering according to professional knowledge, lead to the investigation, the follow-up process is loaded down with trivial details, under the circumstances that the flow of going out and entering is so big, it is low to highlight the efficiency.
In the prior art (CN104820905B), a method and a system for managing and controlling personnel based on analysis of big data of spatial trajectory are directed to managing and controlling personnel by using spatial positioning data, and no relevant method for screening relevant personnel data is proposed.
Therefore, a technology is needed to realize risk assessment for related personnel based on big data.
Disclosure of Invention
The technical scheme of the invention provides a method and a system for evaluating and managing personnel data information based on big data, which aim to solve the problem of how to evaluate the personnel risk based on the big data.
In order to solve the above problem, the present invention provides a method for evaluating and managing personnel data information based on big data, wherein the method comprises:
acquiring data information of newly added personnel, and performing data cleaning on the acquired data information of the newly added personnel according to a preset rule;
analyzing the newly added personnel data information after data cleaning, and judging whether the newly added personnel data information comprises a filing factor;
when the data information of the newly added personnel comprises a profiling factor, judging whether the newly added personnel establish a personnel digital file or not based on the profiling factor;
when the newly added personnel are personnel who have established the personnel digital file, utilizing the newly added personnel data information to update the personnel data information of the personnel digital file;
and updating a risk evaluation mark in the personnel data information based on the updated personnel data information of the personnel digital file, triggering a risk evaluation event, and evaluating the risk of the personnel.
Preferably, the method further comprises establishing a risk assessment configuration table:
configuring risk assessment events corresponding to the personnel categories according to the personnel categories;
setting a risk assessment score for each of the risk assessment events.
Preferably, the method further comprises the following steps:
evaluating personnel data information based on the risk evaluation events in the risk evaluation configuration table, and judging whether the personnel data information meets the control requirements of the risk evaluation events;
when the personnel data information meets the control requirement of the risk assessment event, acquiring a risk assessment score of the risk assessment event;
adding the risk assessment value and a risk preset value of the risk assessment event to obtain a total risk assessment value;
determining the risk degree of the personnel according to the total risk assessment value;
and when the risk degree is middle risk or high risk, generating alarm data and tracking the personnel data information.
Preferably, the method comprises the following steps: and acquiring data information of the newly added personnel according to a preset time interval.
Preferably, the profiling factor comprises: identity card number, Chinese name, gender, date of birth, English name, gender, nationality, certificate type, and certificate number.
Based on another aspect of the present invention, the present invention provides a system for personnel data information evaluation management based on big data, the system comprising:
the acquisition unit is used for acquiring the data information of the newly added personnel and cleaning the acquired data information of the newly added personnel according to a preset rule;
the analysis unit is used for analyzing the newly added personnel data information after the data cleaning and judging whether the newly added personnel data information comprises a filing factor or not;
the judging unit is used for judging whether the newly added personnel establish a personnel digital file or not based on the filing factor when the data information of the newly added personnel comprises the filing factor;
the updating unit is used for updating the personnel data information of the personnel digital file by utilizing the newly added personnel data information when the newly added personnel is the personnel with the established personnel digital file;
and the evaluation unit is used for updating the risk evaluation mark in the personnel data information based on the updated personnel data information of the personnel digital file, triggering a risk evaluation event and evaluating the risk of the personnel.
Preferably, the system further comprises an establishing unit, configured to establish a risk assessment configuration table:
configuring risk assessment events corresponding to the personnel categories according to the personnel categories;
setting a risk assessment score for each of the risk assessment events.
Preferably, the evaluation unit is further configured to:
evaluating personnel data information based on the risk evaluation events in the risk evaluation configuration table, and judging whether the personnel data information meets the control requirements of the risk evaluation events;
when the personnel data information meets the control requirement of the risk assessment event, acquiring a risk assessment score of the risk assessment event;
adding the risk assessment value and a risk preset value of the risk assessment event to obtain a total risk assessment value;
determining the risk degree of the personnel according to the total risk assessment value;
and when the risk degree is middle risk or high risk, generating alarm data and tracking the personnel data information.
Preferably, the obtaining unit is further configured to: and acquiring data information of the newly added personnel according to a preset time interval.
Preferably, the profiling factor comprises: identity card number, Chinese name, gender, date of birth, English name, gender, nationality, certificate type, and certificate number.
The technical scheme of the invention provides a method and a system for evaluating and managing personnel data information based on big data, wherein the method comprises the following steps: acquiring data information of newly added personnel, and performing data cleaning on the acquired data information of the newly added personnel according to a preset rule; analyzing the newly added personnel data information after data cleaning, and judging whether the newly added personnel data information comprises a filing factor; when the data information of the newly added personnel comprises the filing factor, judging whether the newly added personnel establish a personnel digital file or not based on the filing factor; when the newly added personnel are personnel who have established the personnel digital file, utilizing the newly added personnel data information to update the personnel data information of the personnel digital file; and updating the risk assessment marks in the personnel data information based on the updated personnel data information of the personnel digital files, triggering a risk assessment event, and assessing the risks of the personnel. The technical scheme of the invention provides a system and a method for efficiently screening related personnel, social data are collected, a background system is used for cleaning and studying and judging data, digital files are established for all entry and exit personnel, the sensitivity of the personnel is quantized through data indexes, decision support is provided for quick evaluation and tracking of the personnel, and the management and studying and judging level of the entry and exit personnel is improved.
Drawings
A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
FIG. 1 is a flow chart of a method for evaluating and managing personnel data information based on big data according to the preferred embodiment of the invention;
FIG. 2 is a flow chart of a method for evaluating and managing personnel data information based on big data according to the preferred embodiment of the invention;
FIG. 3 is a flowchart of a method for assessing and managing personnel data information based on a risk assessment configuration table in accordance with a preferred embodiment of the present invention;
fig. 4 is a schematic structural diagram of a background server and an integrated management and control platform according to a preferred embodiment of the present invention; and
fig. 5 is a system block diagram for evaluation management of personnel data information based on big data according to a preferred embodiment of the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Fig. 1 is a flowchart of a method for evaluating and managing personnel data information based on big data according to a preferred embodiment of the invention. The first purpose of the invention is to provide a data collection center, which solves the problem of independent and dispersed data by accessing social data required by entry and exit personnel to control. Meanwhile, data is cleaned, analyzed and judged, a digital file is established for the entry and exit personnel, a specific risk assessment method for related personnel is provided, a risk assessment score is dynamically calculated in real time, and the sensitivity of the entry and exit personnel is quantitatively processed.
As shown in FIG. 1, the present invention provides a method for evaluating and managing personnel data information based on big data, which comprises:
step 101: acquiring data information of newly added personnel, and performing data cleaning on the acquired data information of the newly added personnel according to a preset rule; preferably, the method comprises the following steps: and acquiring data information of the newly added personnel according to a preset time interval.
Step 102: analyzing the newly added personnel data information after data cleaning, and judging whether the newly added personnel data information comprises a filing factor; preferably, the profiling factor comprises: identity card number, Chinese name, gender, date of birth, English name, gender, nationality, certificate type, and certificate number.
Step 103: and when the data information of the newly added personnel comprises the filing factor, judging whether the newly added personnel establish the personnel digital file or not based on the filing factor.
Step 104: and when the newly added personnel are the personnel who have established the personnel digital file, updating the personnel data information of the personnel digital file by utilizing the newly added personnel data information.
Step 105: and updating the risk assessment marks in the personnel data information based on the updated personnel data information of the personnel digital files, triggering a risk assessment event, and assessing the risks of the personnel.
Preferably, the method further comprises establishing a risk assessment configuration table:
configuring risk assessment events corresponding to the personnel categories according to the personnel categories;
a risk assessment score is set for each risk assessment event.
Preferably, the method further comprises the following steps:
evaluating the personnel data information based on the risk evaluation event in the risk evaluation configuration table, and judging whether the personnel data information meets the control requirement of the risk evaluation event;
when the personnel data information meets the control requirement of the risk assessment event, acquiring a risk assessment score of the risk assessment event;
adding the risk assessment value and a risk preset value of the risk assessment event to obtain a total risk assessment value;
determining the risk degree of the personnel according to the total risk assessment value;
and when the risk degree is middle risk or high risk, generating alarm data and tracking the personnel data information.
As shown in fig. 2, the present invention provides a method for efficiently evaluating entry and exit related persons, the method comprising:
social data are collected and documented:
as shown in fig. 2, social data of a third party related to the management of the inbound and outbound persons is extracted through a background timing task, and meanwhile, the extracted data is cleaned and judged whether to meet the requirements of filing of the persons through a preset rule, so that one person can be guaranteed and the digital file of the persons is established/updated, and finally a risk assessment mark in the digital file is updated for triggering a subsequent risk assessment event, wherein the specific process is as follows:
setting a social data extraction timer, and extracting social data from a third-party system data source, including but not limited to: civil aviation data, railway traffic data, foreigner accommodation data, certificate handling data and case and event data.
The invention cleans the extracted data according to a preset rule and eliminates the data with poor quality, repetition and invalidity.
The invention carries out archive model analysis on the cleaned data and judges whether the data has the archive factor so as to meet the archive requirement. The 'profiling factors' of the invention can be divided into two categories, aiming at inland residents, the profiling factors are as follows: identity card number, Chinese name, gender, date of birth; for overseas personnel, the profiling factors are: english name, sex, nationality, certificate type and certificate number.
The invention judges whether the data establishes a digital file or not through the filing factor. And executing the filing operation on the data of which the digital file is not established, and executing the updating operation on the data of which the digital file is established.
The invention updates the 'risk assessment mark' in the personnel digital file and triggers the risk assessment event. Risk assessment for entry and exit personnel according to digital files
As shown in fig. 3, the present invention traverses the personnel information in the personnel digital file, judges whether to execute risk assessment through a "risk assessment flag", configures an event range to be executed for risk assessment through a "risk assessment configuration table", performs analysis and check one by one according to the configuration, calculates a "risk assessment score", and finally performs rating division on the relevant personnel through a preset "relevant personnel degree score line", wherein the process includes the following steps:
and traversing the personnel information in the personnel digital file, and presetting the 'risk assessment score' of the personnel to be '0'.
Whether to perform risk assessment is judged by a 'risk assessment flag'.
And traversing the risk assessment configuration table to obtain the risk assessment events which need to be executed by the personnel. The risk assessment configuration table may configure the risk assessment events it needs to perform according to the personnel category (inside/outside), respectively, including but not limited to: the method comprises the steps of key overseas personnel checking, inaccurate entry personnel checking, inaccurate exit personnel checking, case-involved event checking, overtime unregistered accommodation checking, frequent access sensitive area checking, license information checking and the like, and meanwhile, value values are configured for each type of risk assessment event.
And (4) executing risk assessment and inspection one by one, judging whether the personnel meets the control requirements of the risk assessment events through data collision and interface inspection modes, and if so, adding the 'risk assessment score' of the personnel and the preset 'score' of the risk assessment events.
And obtaining a risk evaluation score finally calculated by the personnel, and grading the low risk, the medium risk and the high risk of the relevant personnel through a preset degree score line of the relevant personnel.
And generating alarm data for middle and high-risk personnel for tracking in the personnel comprehensive management and control system.
The invention provides a comprehensive personnel management and control system which can display and process collected data and evaluation results of related personnel.
According to another embodiment of the present invention, the present invention provides a system for integrated control of entry and exit related persons, the system including:
as shown in fig. 4, the system is divided into a background server and a comprehensive management and control platform.
A background server side: the system comprises a data collection timer and a risk assessment timer, wherein the data collection timer is mainly used for regularly extracting social information related to the entry and exit personnel from an external system; and carrying out data cleaning, establishing a personnel digital file, carrying out risk evaluation calculation on personnel according to the social information of a third party, carrying out sensitivity degree division on corresponding related personnel, and obtaining a corresponding conclusion for subsequent management on the comprehensive management and control platform.
The comprehensive control platform: the early warning data of the background is received, the early warning module is displayed and processed according to the early warning information, a processing and tracking means is provided, the follow-up processing management and control are facilitated, the digital file information, the social data and the levels of related personnel of the display personnel are displayed, the low-risk personnel, the middle-risk personnel and the high-risk personnel are marked and displayed in colorless, yellow and red respectively, and clear processing suggestions are provided for the follow-up personnel processing.
The invention collects social data related to the entry and exit business, establishes a data center, and respectively files different personnel categories by designing 'filing factors' so as to ensure that one person files one file.
The invention provides a method for efficiently evaluating the sensitivity degree of entry and exit people, which combines two means of risk evaluation score and risk evaluation configuration table to quantitatively grade entry and exit people and carries out early warning pushing according to the sensitivity degree.
The invention provides a set of comprehensive management and control system which can perform early warning and tracking processing on personnel who finish evaluation and perform differential display through color labels.
The method for evaluating the sensitivity of the entry and exit personnel collects the social data related to the entry and exit service, and constructs quantifiable risk evaluation scores by setting a management concept of one person for one file and dynamically calculating in real time based on the identity information and the social data information of the entry and exit personnel so as to divide the sensitivity of the personnel. Meanwhile, the early warning information is generated by combining the risk assessment score and the related personnel degree score line and is pushed to the comprehensive management and control system, the risk assessment calculation result and the color early warning are combined in the management and control system, a visual and standardized risk management approach is provided for related personnel, the working flow of basic level policemen risk control and personnel check is simplified, the workload is reduced, the working efficiency is improved, the simple related personnel grade is utilized to guide the entry and exit personnel to manage and control the early period, and the possibility of exit and entry core data leakage and abuse is effectively prevented.
Fig. 5 is a system block diagram for evaluation management of personnel data information based on big data according to a preferred embodiment of the present invention. As shown in fig. 5, the present invention provides a system for evaluating and managing personnel data information based on big data, the system includes:
an obtaining unit 501, configured to obtain data information of a newly added person, and perform data cleaning on the obtained data information of the newly added person according to a preset rule; preferably, the system acquisition unit 501 is further configured to: and acquiring data information of the newly added personnel according to a preset time interval.
The analyzing unit 502 is configured to analyze the newly added person data information after the data cleaning, and determine whether the newly added person data information includes a filing factor. Preferably, the profiling factor comprises: identity card number, Chinese name, gender, date of birth, English name, gender, nationality, certificate type, and certificate number.
The determining unit 503 is configured to determine whether the new staff has created the staff digital file based on the profiling factor when the data information of the new staff includes the profiling factor.
An updating unit 504, configured to update the personal data information of the personal digital file with the newly added personal data information when the newly added personal is a person who has already established the personal digital file.
And the evaluation unit 505 is configured to update the risk evaluation flag in the personnel data information based on the updated personnel data information of the personnel digital archive, trigger a risk evaluation event, and evaluate the risk of the personnel.
Preferably, the system further comprises an establishing unit for establishing a risk assessment configuration table:
configuring risk assessment events corresponding to the personnel categories according to the personnel categories;
a risk assessment score is set for each risk assessment event.
Preferably, the system evaluation unit 505 is further configured to:
evaluating the personnel data information based on the risk evaluation event in the risk evaluation configuration table, and judging whether the personnel data information meets the control requirement of the risk evaluation event;
when the personnel data information meets the control requirement of the risk assessment event, acquiring a risk assessment score of the risk assessment event;
adding the risk assessment value and a risk preset value of the risk assessment event to obtain a total risk assessment value;
determining the risk degree of the personnel according to the total risk assessment value;
and when the risk degree is middle risk or high risk, generating alarm data and tracking the personnel data information.
The system for evaluating and managing the personnel data information based on the big data in the preferred embodiment of the present invention corresponds to the method for evaluating and managing the personnel data information based on the big data in the preferred embodiment of the present invention, and is not described herein again.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the one disclosed above are equally possible within the scope of the invention, as would be apparent to a person skilled in the art from the appended patent claims.
Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a/an/the [ device, component, etc ]" are to be interpreted openly as referring to at least one instance of said device, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.
Claims (10)
1. A method for personnel data information assessment management based on big data, the method comprising:
acquiring data information of newly added personnel, and performing data cleaning on the acquired data information of the newly added personnel according to a preset rule;
analyzing the newly added personnel data information after data cleaning, and judging whether the newly added personnel data information comprises a filing factor;
when the data information of the newly added personnel comprises a profiling factor, judging whether the newly added personnel establish a personnel digital file or not based on the profiling factor;
when the newly added personnel are personnel who have established the personnel digital file, utilizing the newly added personnel data information to update the personnel data information of the personnel digital file;
and updating a risk evaluation mark in the personnel data information based on the updated personnel data information of the personnel digital file, triggering a risk evaluation event, and evaluating the risk of the personnel.
2. The method of claim 1, further comprising establishing a risk assessment configuration table:
configuring risk assessment events corresponding to the personnel categories according to the personnel categories;
setting a risk assessment score for each of the risk assessment events.
3. The method of claim 2, further comprising:
evaluating personnel data information based on the risk evaluation events in the risk evaluation configuration table, and judging whether the personnel data information meets the control requirements of the risk evaluation events;
when the personnel data information meets the control requirement of the risk assessment event, acquiring a risk assessment score of the risk assessment event;
adding the risk assessment value and a risk preset value of the risk assessment event to obtain a total risk assessment value;
determining the risk degree of the personnel according to the total risk assessment value;
and when the risk degree is middle risk or high risk, generating alarm data and tracking the personnel data information.
4. The method of claim 1, comprising: and acquiring data information of the newly added personnel according to a preset time interval.
5. The method of claim 1, the profiling factor comprising: identity card number, Chinese name, gender, date of birth, English name, gender, nationality, certificate type, and certificate number.
6. A system for evaluation management of personnel data information based on big data, the system comprising:
the acquisition unit is used for acquiring the data information of the newly added personnel and cleaning the acquired data information of the newly added personnel according to a preset rule;
the analysis unit is used for analyzing the newly added personnel data information after the data cleaning and judging whether the newly added personnel data information comprises a filing factor or not;
the judging unit is used for judging whether the newly added personnel establish a personnel digital file or not based on the filing factor when the data information of the newly added personnel comprises the filing factor;
the updating unit is used for updating the personnel data information of the personnel digital file by utilizing the newly added personnel data information when the newly added personnel is the personnel with the established personnel digital file;
and the evaluation unit is used for updating the risk evaluation mark in the personnel data information based on the updated personnel data information of the personnel digital file, triggering a risk evaluation event and evaluating the risk of the personnel.
7. The system of claim 6, further comprising an establishing unit for establishing a risk assessment configuration table:
configuring risk assessment events corresponding to the personnel categories according to the personnel categories;
setting a risk assessment score for each of the risk assessment events.
8. The system of claim 7, the evaluation unit further to:
evaluating personnel data information based on the risk evaluation events in the risk evaluation configuration table, and judging whether the personnel data information meets the control requirements of the risk evaluation events;
when the personnel data information meets the control requirement of the risk assessment event, acquiring a risk assessment score of the risk assessment event;
adding the risk assessment value and a risk preset value of the risk assessment event to obtain a total risk assessment value;
determining the risk degree of the personnel according to the total risk assessment value;
and when the risk degree is middle risk or high risk, generating alarm data and tracking the personnel data information.
9. The system of claim 6, the acquisition unit further to: and acquiring data information of the newly added personnel according to a preset time interval.
10. The system of claim 6, the profiling factor comprising: identity card number, Chinese name, gender, date of birth, English name, gender, nationality, certificate type, and certificate number.
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| CN114706743A (en) * | 2022-04-27 | 2022-07-05 | 中电普信(北京)科技发展有限公司 | Comprehensive evaluation method supporting real-time evaluation |
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| CN110059079A (en) * | 2019-04-28 | 2019-07-26 | 北京深醒科技有限公司 | A kind of personnel based on big data modeling analysis break laws and commit crime prediction technique and system |
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| CN111160696A (en) * | 2019-11-21 | 2020-05-15 | 国政通科技有限公司 | Big data based detected person grading method |
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