CN111461949A - Community correction scheme intelligent generation system based on big data - Google Patents
Community correction scheme intelligent generation system based on big data Download PDFInfo
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- CN111461949A CN111461949A CN202010303015.0A CN202010303015A CN111461949A CN 111461949 A CN111461949 A CN 111461949A CN 202010303015 A CN202010303015 A CN 202010303015A CN 111461949 A CN111461949 A CN 111461949A
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- 238000012937 correction Methods 0.000 title claims abstract description 106
- 238000011156 evaluation Methods 0.000 claims abstract description 22
- 238000012502 risk assessment Methods 0.000 claims abstract description 13
- 238000004458 analytical method Methods 0.000 claims abstract description 10
- 238000004364 calculation method Methods 0.000 claims abstract description 6
- 238000012360 testing method Methods 0.000 claims description 16
- 230000008451 emotion Effects 0.000 claims description 4
- 230000001149 cognitive effect Effects 0.000 claims description 3
- 238000011835 investigation Methods 0.000 claims description 3
- 238000004451 qualitative analysis Methods 0.000 claims description 2
- 238000000034 method Methods 0.000 abstract description 4
- 238000007405 data analysis Methods 0.000 abstract description 2
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- 206010063385 Intellectualisation Diseases 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a community correction scheme intelligent generation system based on big data, which belongs to the technical field of big data application and comprises an intelligent correction scheme model base, wherein the intelligent correction scheme model base comprises a basic file module, a psychological assessment module, a risk assessment module and a correction scheme calculation module, the correction scheme calculation module is respectively connected with the basic file module, the psychological assessment module and the risk assessment module, and the system intelligently formulates a correction scheme according to an evaluation result by carrying out comprehensive evaluation on basic conditions, psychological conditions and the like of community criminal personnel during correction and during correction. The method establishes correction evaluation analysis based on the characteristics of community prisoners, conforms to the community correction daily work, sets evaluation indexes for the community correction daily work, can intelligently make targeted correction measures according to various evaluation results obtained by data analysis, can form comprehensive correction schemes at different stages, and achieves the purpose of accurate correction.
Description
Technical Field
The invention relates to the technical field of big data application, in particular to a community correction scheme intelligent generation system based on big data.
Background
The correction scheme is that after community correction personnel are received by a judicial law, comprehensive evaluation analysis is carried out according to the conditions of the punishment type, the crime condition, the repentance performance, the individual characteristics, the living environment and the like of the judged community, and the targeted management measures are determined. When a correction scheme is formulated, the thought dynamics of prisoners are known through conversation and visit, and the implementation condition is evaluated regularly after the scheme is implemented. And timely adjusted according to the implementation effect.
In the current practical community correction work, although an informatization system gradually replaces a paper scheme, the correction scheme still stays in an input function and does not realize intellectualization. In addition, the current situation that the correction scheme is discordant and silent in effect due to the fact that the current correction scheme is not finalized by people and corrected by people is caused by the fact that basic personnel are insufficient in strength and complicated in work. In order to solve the problems, a community correction scheme intelligent generation system based on big data is provided. .
Disclosure of Invention
The technical problem to be solved by the invention is as follows: how to solve the problem that the correction scheme in the current practical community correction work does not have the scheme fixed by the person, the correction by the person and the like, and provides an intelligent generation system of the community correction scheme based on big data.
The invention solves the technical problems through the following technical scheme, and discloses a community correction scheme intelligent generation system based on big data, which is characterized by comprising an intelligent correction scheme model library, wherein the intelligent correction scheme model library comprises:
the basic file module is used for collecting basic file information of community prisoners and analyzing personal basic pictures;
the psychological assessment module is used for testing and assessing the psychological condition of community prisoners;
the risk evaluation module is used for testing the risk degree of community prisoners during correction;
the correction scheme calculation module is respectively connected with the basic file module, the psychological assessment module and the risk assessment module, the results of the basic file module, the psychological assessment module and the risk assessment module are combined, the optimal correction scheme of community prisoners is obtained through judgment and analysis, and the optimal correction scheme comprises a correction target and a correction measure.
The basic file module comprises names of community criminals, cultural degree, age of first crime, times of previous departments, crime degree, correction categories and family conditions.
The psychological test module comprises a psychological test answer library, and community criminal service personnel answer questions through the psychological test answer library to obtain psychological test results and form psychological test results.
The risk assessment module is mainly used for assessing basic conditions, risk behaviors and correction conditions of community criminal personnel through questionnaire investigation, qualitative analysis and comprehensive analysis, and forming a risk assessment result.
The optimal correction scheme comprises the steps of emotion management, social ability and education degree.
The corrective measures in the optimal corrective scheme comprise risk measures, cognitive measures, social measures, family measures, educational measures and employment measures.
Compared with the prior art, the invention has the following advantages: the intelligent generation system of the community correction scheme based on big data fundamentally solves the problems of single community correction measure, low individuation and the like, and the system can set a proper correction scheme for a corrected object according to different characteristics and backgrounds of prisoners and criminals. On one hand, the efficiency of making an individualized correction scheme by basic level workers is greatly improved, and the method is strong in operability and high in flexibility; on the other hand, by adopting the personalized correction scheme, the method adopts difference supervision measures and can really improve the correction effect, so that the method is integrated into the society as soon as possible and avoids crime again.
Drawings
FIG. 1 is a system flow diagram of the present invention.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
As shown in fig. 1, the present embodiment provides the following technical solutions: firstly, installing a community correction scheme intelligent generation system based on big data on a server, and uniformly managing by managers. The system is mainly used for establishing an intelligent correction scheme model library, and the intelligent correction scheme model library comprises: the basic file module is used for collecting basic file information of community prisoners and analyzing personal basic pictures; the psychological assessment module is used for testing and assessing the psychological condition of community prisoners; the risk evaluation module is used for testing the risk degree of community prisoners during correction; the correction scheme calculation module is respectively connected with the basic file module, the psychological assessment module and the risk assessment module, the basic file module, the psychological assessment module and the risk assessment module are combined, the correction scheme calculation module is respectively connected with the basic file module, the psychological assessment module and the risk assessment module, the optimal correction scheme of the criminal service personnel in the community is obtained through judgment and analysis according to results of the basic file module, the psychological assessment module and the risk assessment module, the optimal correction scheme comprises a correction target and a correction measure, and the final correction scheme is displayed through a display terminal.
Preferably, basic information of community prisoners is collected by establishing a complete prisoner basic file module, the basic information mainly comprises prisoner names, culture degrees, first crime ages, previous times, crime degrees, correction categories and family conditions, information such as membership organizations, correction categories, pre-capture occupational medical history set task labels and the like can be added, and character images are established in multiple dimensions through personal identity information, crime history information, social relationship information, consumption trip information and the like. The manager can quickly know the character characteristics of the prisoner through drawing figures of the prisoner, and is convenient for transverse comparison and formulation of pertinence management measures.
Preferably, a psychological assessment question bank is set for community prisoners, the psychological assessment question bank can be set in an APP mode in a mobile phone to allow the prisoners to answer questions at any time, and can also be set in a computer to allow the prisoners to answer questions intensively, psychological assessment is performed through the psychological assessment questions, assessment results are uploaded to a correction scheme intelligent generation system, the community prisoners are assessed through multidimensional indexes, the psychological state of the prisoners is analyzed, a psychological assessment module is established, and a psychological counseling plan during correction is made according to assessment results.
Preferably, the contents of basic conditions, family conditions, character behaviors, correction conditions, related attitudes, crime conditions and the like of community criminal issuing personnel are comprehensively analyzed and evaluated through questionnaire investigation, and psychological correction and management grade change suggestions are given through risk evaluation contents.
Preferably, a comprehensive correction scheme is formed by formulating a targeted correction measure for emotion management, social ability, education degree, risk measure, cognitive measure, social measure, family measure, education measure, employment measure and the like by combining psychological evaluation and risk evaluation of community prisoners and basic archive conditions, and the specific steps are as follows:
s1: evaluation and analysis: performing evaluation analysis by entering corrective evaluation in combination with obtaining the basic file condition of the individual, wherein the analysis conclusion comprises the following steps: the risk grades (D1, D2, D3) comprise family conditions, occupation conditions, social conditions, addiction conditions, age at first crime, crime behavior at minor age, history of receiving community corrections, number of times of community correction withdrawal, crime category, history of crime adjudicated, sex, alcohol usage, drug usage, etc.; the personal basic situation grades (H1, H2, H3, Hn) comprise the comprehensive judgment of the personal emotion management situation; the individual psychological conditions (F1, F2, F3, Fn) include behavioral characteristics, attitude characteristics, psychological characteristics, and the like. S2: establishing a correction target: and establishing a correction target according to the personal basic condition and the personal psychological condition, and respectively classifying by using a standard library in the related field and a traditional working experience library of workers as target libraries. S3: and (3) establishing a corrective measure: by integrating the contents of 3 levels such as risk level, personal basic condition level, psychological condition level and the like, the span of project design is 1 to 3, individual measures such as reporting, reporting and correcting conditions, community service, education and learning, visiting, asking for leave and the like are judged according to the scores, and common correction measures are established according to the risk level;
and finally, analyzing to obtain an optimal correction scheme of community prisoners, wherein the optimal correction scheme comprises a correction target and a correction measure, and the final correction scheme is displayed through a display terminal.
The invention discloses a community correction scheme generation system based on big data. The psychological conditions of community prisoners are known through personalized psychological assessment, and corresponding psychological auxiliary correction measures are made. The risk condition of community prisoners can be known through risk assessment, and management grade change, monthly assessment and other conditions can be suggested. And intelligently forming various aiming measures according to various evaluation results to form a comprehensive correction scheme. And establishing a personnel label through correction evaluation and file perfection, obtaining a correction target through comprehensive evaluation, and making corresponding correction measures according to personal basic conditions and psychological conditions of prisoners by the system.
In summary, according to the intelligent generation system of the community correction scheme based on the big data, the prisoner can answer questions through the system, the staff enters the situations of conversation, visit and the like in the system according to the flow, and the system intelligently screens out the optimal correction scheme through big data analysis and collision; during the correction period, the system can also carry out intelligent analysis by combining the performance condition of the criminal assessment period, and evaluate the effect of the correction scheme during the correction period. The problem that traditional workers need to know the psychological states of prisoners through data reference and conversation is solved, the work efficiency is greatly improved, the case is fixed by people, the correction is carried out by people, and the correction effect is improved.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (6)
1. The community correction scheme intelligent generation system based on big data is characterized by comprising an intelligent correction scheme model library,
the intelligent correction scheme model library comprises:
the basic file module is used for collecting basic file information of community prisoners and analyzing personal basic pictures;
the psychological assessment module is used for testing and assessing the psychological condition of community prisoners;
the risk evaluation module is used for testing the risk degree of community prisoners during correction;
and the correction scheme calculation module is respectively connected with the basic file module, the psychological evaluation module and the risk evaluation module, and judges and analyzes the optimal correction scheme of community prisoners according to the results of the basic file module, the psychological evaluation module and the risk evaluation module, wherein the optimal correction scheme comprises a correction target and a correction measure.
2. The big-data based intelligent generation system for community correction schemes of claim 1, wherein: the basic file module comprises the name of a person serving a criminal in the community, cultural degree, age of the first crime, previous times, crime degree, correction category and family condition.
3. The big-data based intelligent generation system for community correction schemes of claim 1, wherein: the psychological test module comprises a psychological test answer library, and community criminal service personnel answer questions through the psychological test answer library to obtain psychological test results and form psychological test results.
4. The big-data based intelligent generation system for community correction schemes of claim 1, wherein: the risk assessment module mainly evaluates the basic condition, risk behavior and correction condition of community prisoners through questionnaire investigation, qualitative analysis and comprehensive analysis modes to form a risk assessment result.
5. The big-data based intelligent generation system for community correction schemes of claim 1, wherein: the optimal correction scheme comprises the steps of emotion management, social ability and education degree.
6. The big-data based intelligent generation system for community correction schemes of claim 1, wherein: the corrective measures in the optimal corrective scheme comprise risk measures, cognitive measures, social measures, family measures, educational measures and employment measures.
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| CN202010303015.0A CN111461949A (en) | 2020-04-17 | 2020-04-17 | Community correction scheme intelligent generation system based on big data |
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| CN202010303015.0A CN111461949A (en) | 2020-04-17 | 2020-04-17 | Community correction scheme intelligent generation system based on big data |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112801603A (en) * | 2020-10-30 | 2021-05-14 | 四川天翼网络服务有限公司 | Smart community special data perception service system |
| CN113240566A (en) * | 2021-05-31 | 2021-08-10 | 深圳中科健安科技有限公司 | Intelligent correction method |
| CN114916935A (en) * | 2022-07-20 | 2022-08-19 | 南京慧智灵杰信息技术有限公司 | Posture analysis auxiliary correction system based on correction process of correction personnel |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7805457B1 (en) * | 2008-02-14 | 2010-09-28 | Securus Technologies, Inc. | System and method for identifying members of a gang or security threat group |
| CN105286889A (en) * | 2015-10-23 | 2016-02-03 | 南京慧智灵杰信息技术有限公司 | Psychology-based information system for psychological treatment of community rectification personnel |
| CN108567436A (en) * | 2018-03-14 | 2018-09-25 | 张振声 | A kind of the psychological corrections system and method for special personnel risk behavior |
| CN110543594A (en) * | 2019-08-06 | 2019-12-06 | 山东科技大学 | knowledge base-based personalized evidence-based correction recommendation method for prisoners |
| CN110826852A (en) * | 2019-09-27 | 2020-02-21 | 安徽四创电子股份有限公司 | Risk assessment method and system for forced isolation drug rehabilitation personnel |
| US20200082445A1 (en) * | 2007-09-14 | 2020-03-12 | Keefe Commissary Network, L.L.C. | System and method for an inmate privilege kiosk |
-
2020
- 2020-04-17 CN CN202010303015.0A patent/CN111461949A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20200082445A1 (en) * | 2007-09-14 | 2020-03-12 | Keefe Commissary Network, L.L.C. | System and method for an inmate privilege kiosk |
| US7805457B1 (en) * | 2008-02-14 | 2010-09-28 | Securus Technologies, Inc. | System and method for identifying members of a gang or security threat group |
| CN105286889A (en) * | 2015-10-23 | 2016-02-03 | 南京慧智灵杰信息技术有限公司 | Psychology-based information system for psychological treatment of community rectification personnel |
| CN108567436A (en) * | 2018-03-14 | 2018-09-25 | 张振声 | A kind of the psychological corrections system and method for special personnel risk behavior |
| CN110543594A (en) * | 2019-08-06 | 2019-12-06 | 山东科技大学 | knowledge base-based personalized evidence-based correction recommendation method for prisoners |
| CN110826852A (en) * | 2019-09-27 | 2020-02-21 | 安徽四创电子股份有限公司 | Risk assessment method and system for forced isolation drug rehabilitation personnel |
Non-Patent Citations (1)
| Title |
|---|
| 顾晓明: "《规范与循证矫正》", 30 April 2014, 华东理工大学出版社 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112801603A (en) * | 2020-10-30 | 2021-05-14 | 四川天翼网络服务有限公司 | Smart community special data perception service system |
| CN113240566A (en) * | 2021-05-31 | 2021-08-10 | 深圳中科健安科技有限公司 | Intelligent correction method |
| CN114916935A (en) * | 2022-07-20 | 2022-08-19 | 南京慧智灵杰信息技术有限公司 | Posture analysis auxiliary correction system based on correction process of correction personnel |
| CN114916935B (en) * | 2022-07-20 | 2022-09-20 | 南京慧智灵杰信息技术有限公司 | Posture analysis auxiliary correction system based on correction process of correction personnel |
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