CN113642820B - 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 the newly-added personnel, and cleaning the data of the newly-added personnel according to a preset rule; analyzing the data information of the newly-added personnel after data cleaning, and judging whether the data information of the newly-added personnel comprises a profiling factor or not; when the newly-increased personnel data information comprises a profiling factor, judging whether the newly-increased personnel has established a personnel digital file or not based on the profiling factor; when the newly added personnel are the personnel who have established the personnel digital file, the personnel data information of the personnel digital file is updated by utilizing the newly added personnel data information; and updating a risk assessment mark in the personnel data information based on the updated personnel data information of the personnel digital file, triggering a risk assessment event, and assessing the risk of 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 related departments at the present stage mainly control personnel information: the side inspection equipment inspection, side inspection system personnel inspection, entering and exiting system certificate inspection and the like are simple in personnel management and control mode, few in data sources, scattered in management system functions, often required to be inspected by using a plurality of different systems, related information of personnel is generally called and singly displayed in the inspection comparison process, the types of data accessed by different systems are different, the information is isolated, the sensitivity degree of entering personnel can be determined only according to abundant case handling experience and professional knowledge of polices, the investigation and follow-up processes are complicated, and the obvious efficiency is low under the condition of large entering and exiting flow.
The prior art (CN 104820905B) is a personnel control method and system based on space trajectory big data analysis, which aim at controlling personnel by using space positioning data, and a related personnel data screening related method is not proposed.
Therefore, a technique 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 are used for solving the problem of evaluating personnel risks based on the big data.
In order to solve the above problems, the present invention provides a method for managing personnel data information evaluation based on big data, the method comprising:
Acquiring data information of the newly-added personnel, and cleaning the data of the newly-added personnel according to a preset rule;
analyzing the data information of the newly-added personnel after data cleaning, and judging whether the data information of the newly-added personnel comprises a profiling factor or not;
When the newly-increased personnel data information comprises a profiling factor, judging whether the newly-increased personnel has established a personnel digital file or not based on the profiling factor;
when the newly added personnel are the personnel who have established the personnel digital file, the personnel data information of the personnel digital file is updated by utilizing the newly added personnel data information;
And updating a risk assessment mark in the personnel data information based on the updated personnel data information of the personnel digital file, triggering a risk assessment event, and assessing the risk of personnel.
Preferably, the method further comprises the step of 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 of the risk assessment events.
Preferably, the method further comprises:
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 score to a risk preset score of the risk assessment event to obtain a risk assessment total value;
Determining the risk degree of the personnel according to the risk assessment total value;
and when the risk degree is medium risk or high risk, generating alarm data and tracking personnel data information.
Preferably, it comprises: and acquiring the data information of the newly added personnel according to a preset time interval.
Preferably, the profiling factor comprises: identification 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 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 data information of the newly-added personnel after the data cleaning and judging whether the data information of the newly-added personnel comprises a profiling 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 profiling factors when the newly added personnel data information comprises the profiling factors;
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 who has established the 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 risk assessment configuration table further comprises a building unit for building the 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 of the risk assessment events.
Preferably, the evaluation unit 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 score to a risk preset score of the risk assessment event to obtain a risk assessment total value;
Determining the risk degree of the personnel according to the risk assessment total value;
and when the risk degree is medium risk or high risk, generating alarm data and tracking personnel data information.
Preferably, the acquisition unit is further configured to: and acquiring the data information of the newly added personnel according to a preset time interval.
Preferably, the profiling factor comprises: identification 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 the newly-added personnel, and cleaning the data of the newly-added personnel according to a preset rule; analyzing the data information of the newly-added personnel after data cleaning, and judging whether the data information of the newly-added personnel comprises a profiling factor or not; when the newly-increased personnel data information comprises a profiling factor, judging whether the newly-increased personnel has established a personnel digital file or not based on the profiling factor; when the newly added personnel are the personnel who have established the personnel digital file, the personnel data information of the personnel digital file is updated by utilizing the data information of the newly added personnel; and updating a risk assessment mark in the personnel data information based on the personnel data information of the updated personnel digital file, triggering a risk assessment event, and assessing the risk of personnel. The technical scheme of the invention provides a system and a method for efficiently screening related personnel, which are used for collecting social data, carrying out data cleaning and research and judgment through a background system, establishing a digital file for all the people who enter and exit, quantifying the sensitivity of the personnel through data indexes, providing decision support for rapid evaluation and tracking of the personnel, and improving the management and research and judgment level of the people who enter and exit.
Drawings
Exemplary embodiments of the present invention may be more completely understood in consideration of the following drawings:
FIG. 1 is a flow chart of a method for personnel data information assessment management based on big data in accordance with a preferred embodiment of the present invention;
FIG. 2 is a flowchart of a method for managing personnel data information assessment based on big data in accordance with a preferred embodiment of the present invention;
FIG. 3 is a flowchart of a method for managing personnel data information assessment based on a risk assessment configuration table in accordance with a preferred embodiment of the present invention;
FIG. 4 is a schematic diagram of a background server and a comprehensive management and control platform according to a preferred embodiment of the present invention; and
Fig. 5 is a system configuration 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 examples described herein, which are provided to fully and completely disclose the present invention and fully convey the scope of the 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, like elements/components are referred to by like reference numerals.
Unless otherwise indicated, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art. In addition, it will be understood that terms 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 managing personnel data information assessment based on big data in accordance with a preferred embodiment of the present invention. The first object of the present invention is to provide a data collection center, which solves the problem of independent and decentralized data by accessing the social data required by the management and control of the entry and exit personnel. Meanwhile, the data is cleaned, analyzed and judged, a digital file is established for the persons entering and exiting, a specific risk assessment method for related persons is provided, a risk assessment value is dynamically calculated in real time, and the sensitivity degree of the persons entering and exiting is quantized.
As shown in fig. 1, the present invention provides a method for evaluating and managing personnel data information based on big data, the method comprising:
step 101: acquiring data information of the newly-added personnel, and cleaning the data of the newly-added personnel according to a preset rule; preferably, it comprises: and acquiring the data information of the newly added personnel according to a preset time interval.
Step 102: analyzing the data information of the newly-added personnel after data cleaning, and judging whether the data information of the newly-added personnel comprises a profiling factor or not; preferably, the profiling factor comprises: identification card number, chinese name, gender, date of birth, english name, gender, nationality, certificate type, and certificate number.
Step 103: when the newly-added personnel data information comprises a profiling factor, judging whether the newly-added personnel has established a personnel digital file or not based on the profiling factor.
Step 104: when the newly added personnel are the personnel who have established the personnel digital file, the personnel data information of the personnel digital file is updated by utilizing the newly added personnel data information.
Step 105: and updating a risk assessment mark in the personnel data information based on the personnel data information of the updated personnel digital file, triggering a risk assessment event, and assessing the risk of personnel.
Preferably, the method further comprises the step of 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:
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 score to a risk preset score of a risk assessment event to obtain a risk assessment total value;
determining the risk degree of the personnel according to the risk assessment total value;
And when the risk degree is middle risk or high risk, generating alarm data and tracking personnel data information.
As shown in fig. 2, the present invention provides a method for efficiently evaluating entry-related personnel, the method comprising:
Collecting and documenting social data:
as shown in fig. 2, social data of a third party related to the management of the people entering and exiting is extracted through a background timing task, meanwhile, the extracted data is cleaned through a preset rule, whether the personnel filing requirement is met or not is judged, one person is guaranteed to be in a file, the establishment/updating of a personnel digital file is executed, and finally, a risk assessment mark in the digital file is updated for triggering a subsequent risk assessment event, wherein the specific flow is as follows:
setting a social data extraction timer to extract social data from third-party system data sources, including but not limited to: civil aviation data, railway traffic data, foreigner accommodation data, certificate handling data and case event data.
The invention cleans the extracted data according to the preset rule, and eliminates the data with poor quality, repetition and invalidation.
The invention analyzes the profiling model of the cleaned data and judges whether the data has a profiling factor so as to meet the profiling requirement. The invention can be divided into two types, and the profiling factors are as follows for the residents in the inner place: identification card number, chinese name, gender, date of birth; for overseas people, the profiling factors are: english name, sex, nationality, certificate kind and certificate number.
The invention judges whether the data has established a digital file or not through the profiling factors. For the data of the established digital file, a filing operation is performed, and for the data of the established digital file, an updating operation is performed.
The invention updates the 'risk assessment mark' in the personnel digital file and triggers a risk assessment event. Risk assessment for entry and exit personnel based on digital files
As shown in fig. 3, the present invention traverses personnel information in personnel digital files, judges whether to execute risk assessment through a "risk assessment mark", 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 classifies related personnel through a preset "related personnel degree score line", wherein the process includes the following steps:
and traversing personnel information in the personnel digital file, and presetting a ' risk assessment score ' of the personnel as 0 '.
Whether to perform risk assessment is judged by a 'risk assessment flag'.
And traversing a risk assessment configuration table to obtain a risk assessment event which needs to be executed by the personnel. The risk assessment configuration table may configure the risk assessment events it needs to perform according to personnel categories (in-ground/overseas), respectively, including but not limited to: important overseas personnel checking, non-admission personnel checking, case-related event checking, overtime unregistered accommodation checking, frequent access sensitive area checking, evidence-holding information checking and the like, and meanwhile, a 'score' is configured for each type of risk assessment event.
And executing risk assessment checking one by one, judging whether the personnel meet the control requirement of the risk assessment event or not through a data collision and interface checking mode, and if so, adding the 'risk assessment score' of the personnel with the preset 'score' of the risk assessment event.
And obtaining a final calculated risk assessment value of the personnel, and grading the low risk, the medium risk and the high risk of the related personnel through a preset related personnel degree score line.
Alarm data is generated for middle and high risk personnel for tracking in the personnel comprehensive management and control system.
The invention provides a personnel comprehensive management and control system which can display and process collected data and related personnel evaluation results.
Based on another embodiment of the present invention, a system for comprehensive control of entry and exit related personnel of the present invention includes:
As shown in FIG. 4, the system is divided into a background server and a comprehensive management and control platform.
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 cleaning data, establishing a personnel digital file, and calculating a risk assessment timer, carrying out risk assessment calculation on personnel according to third-party social information, and dividing the sensitivity degree of corresponding related personnel to obtain corresponding conclusion for subsequent management on a comprehensive management and control platform.
Comprehensive management and control platform: and receiving background early warning data, carrying out early warning module display processing according to the early warning information, providing a processing tracking means, facilitating subsequent processing management and control, displaying personnel digital archive information, social data and related personnel grades, respectively marking and displaying low, medium and high risk personnel in colorless, yellow and red, and providing clear processing advice for subsequent personnel processing.
The invention gathers social data related to the business of entering and exiting, establishes a data center, and respectively files different personnel types by designing a 'file-building factor', thereby ensuring one person to one file.
The invention provides a method for efficiently evaluating the sensitivity of an entry and exit person, which combines two means of 'risk evaluation value' and 'risk evaluation configuration table', quantitatively evaluates the entry and exit person, and performs early warning pushing according to the sensitivity.
The invention provides a comprehensive management and control system which can perform early warning and tracking treatment on personnel who finish evaluation and perform differentiated display through color labels.
According to the method for evaluating the sensitivity degree of the entering and exiting personnel, social data related to the entering and exiting business are collected, and the sensitivity degree of the personnel is divided by setting up a management concept of 'one person for one file' and based on identity information and social data information of the entering and exiting personnel, carrying out real-time dynamic calculation, and constructing a quantifiable 'risk evaluation value'. Meanwhile, the 'risk assessment score' and the 'related personnel degree score line' are combined to generate early warning information, the early warning information is pushed to a comprehensive management and control system, in the management and control system, a visual and standardized risk management approach is provided for related personnel, the workflow of basic-level civil police risk management and control and personnel checking is simplified, the workload is lightened, the working efficiency is also improved, the management and control beginner of the entering personnel is guided by utilizing the simple related personnel level, and the possibility of leakage and abuse of the core data of the entering and the exiting is effectively prevented.
Fig. 5 is a system configuration 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 evaluation management of personnel data information based on big data, the system comprising:
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 the data information of the newly added personnel according to a preset time interval.
The analysis unit 502 is configured to analyze the newly-added personnel data information after data cleaning, and determine whether the newly-added personnel data information includes a profiling factor. Preferably, the profiling factor comprises: identification card number, chinese name, gender, date of birth, english name, gender, nationality, certificate type, and certificate number.
The judging unit 503 is configured to judge whether the newly added person has established the personal digital file based on the profiling factor when the profiling factor is included in the newly added person data information.
And an updating unit 504, configured to update the personnel data information of the personnel digital file with the newly added personnel data information when the newly added personnel is the personnel who has established the personnel digital file.
The evaluation unit 505 is configured to update a risk evaluation flag in the personnel data information based on the updated personnel data information of the personnel digital file, 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 score to a risk preset score of a risk assessment event to obtain a risk assessment total value;
determining the risk degree of the personnel according to the risk assessment total value;
And when the risk degree is middle risk or high risk, generating alarm data and tracking personnel data information.
The system for evaluating and managing personnel data information based on big data in the preferred embodiment of the present invention corresponds to the method for evaluating and managing personnel data information based on big data in the preferred embodiment of the present invention, and will not be described herein.
The invention has been described with reference to a few embodiments. However, as is well known to those skilled in the art, other embodiments than the above disclosed invention are equally possible within the scope of the invention, as defined by 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 therein. All references to "a/an/the [ means, component, etc. ]" are to be interpreted openly as referring to at least one instance of said means, 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 (6)
1. A method of assessing personnel risk based on big data, the method comprising:
Acquiring data information of the newly-added personnel, and cleaning the data of the newly-added personnel according to a preset rule;
analyzing the data information of the newly-added personnel after data cleaning, and judging whether the data information of the newly-added personnel comprises a profiling factor or not;
When the newly-increased personnel data information comprises a profiling factor, judging whether the newly-increased personnel has established a personnel digital file or not based on the profiling factor;
when the newly added personnel are the personnel who have established the personnel digital file, the personnel data information of the personnel digital file is updated by utilizing the newly added personnel data information;
Based on the updated personnel data information of the personnel digital file, updating a risk assessment mark in the personnel data information, triggering a risk assessment event, and assessing the risk of personnel;
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;
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 score to a risk preset score of the risk assessment event to obtain a risk assessment total value;
Determining the risk degree of the personnel according to the risk assessment total value;
and when the risk degree is medium risk or high risk, generating alarm data and tracking personnel data information.
2. The method according to claim 1, comprising: and acquiring the data information of the newly added personnel according to a preset time interval.
3. The method of claim 1, the profiling factor comprising: identification card number, chinese name, gender, date of birth, english name, nationality, certificate type, and certificate number.
4. A system for assessing personnel risk 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 data information of the newly-added personnel after the data cleaning and judging whether the data information of the newly-added personnel comprises a profiling 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 profiling factors when the newly added personnel data information comprises the profiling factors;
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 who has established the personnel digital file;
The establishing unit is used 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;
the assessment unit is used for updating a risk assessment mark in the personnel data information based on the updated personnel data information of the personnel digital file, triggering a risk assessment event and assessing the risk of personnel; 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 score to a risk preset score of the risk assessment event to obtain a risk assessment total value; determining the risk degree of the personnel according to the risk assessment total value; and when the risk degree is medium risk or high risk, generating alarm data and tracking personnel data information.
5. The system of claim 4, the acquisition unit further to: and acquiring the data information of the newly added personnel according to a preset time interval.
6. The system of claim 4, the profiling factor comprising: identification card number, chinese name, gender, date of birth, english name, nationality, certificate type, and certificate number.
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