Intelligent recommendation method and device for community correction management scheme

Abstract

The invention discloses an intelligent recommendation method and device for a community correction management scheme. The method is applied to first equipment. A specific embodiment comprises the steps of determining a comprehensive score corresponding to each evaluation index of a target correction object in community correction management based on supervision data generated when the target correction object executes a preliminary correction scheme; for any evaluation index in all the evaluation indexes, based on the comprehensive score corresponding to the evaluation index, performing evaluation prediction on the management risk level of the target correction object, and outputting a predicted management risk level; and based on the prediction management risk level corresponding to each evaluation index in all the evaluation indexes, dynamically adjusting the preliminary correction scheme to generate a new correction scheme. According to the embodiment, the management risk level of the target correction object can be automatically evaluated based on the supervision data, and the correction scheme is dynamically adjusted; therefore, a precise and personalized correction scheme can be provided; and the intelligence of community correction management is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of community corrections, and in particular, relates to an intelligent recommendation method and device for community correction management programs. Background Art

[0002] In the field of community corrections, after receiving community correction subjects, grassroots judicial offices need to conduct a comprehensive analysis and assessment based on the type of punishment, crime, repentance, personality traits, and living environment of the correction subjects, and determine daily management measures. In the daily supervision process, supervision measures need to be dynamically adjusted based on the effectiveness of supervision implementation.

[0003] With the implementation of the Community Correction Law, all provinces and cities have basically completed the informatization construction of community corrections. How to use big data to analyze the supervision data generated in the process of informatization management, provide accurate and personalized correction management plans, reduce the burden on judicial personnel in formulating correction plans, improve work efficiency and accuracy, smoothly enhance the effectiveness and pertinence of correction measures, and promote the smooth return of correction subjects to society has become one of the current ideas of "smart community corrections". Summary of the invention

[0004] In view of the above-mentioned problems existing in the prior art, an embodiment of the present invention provides an intelligent recommendation method and device for community correction management plans; the method can provide accurate and personalized correction plans; reduce the burden of judicial personnel in formulating correction plans, and improve the work efficiency and accuracy of judicial personnel; thereby realizing the intelligentization of community correction management.

[0005] According to a first aspect of an embodiment of the present invention, there is provided an intelligent recommendation method for a community correction management plan, which is applied to a first device; comprising: determining the comprehensive score corresponding to each evaluation indicator of the target correction object in the community correction management based on the supervision data generated by the target correction object when executing the preliminary correction plan; wherein the evaluation indicators of the community correction management include: subjective malice index, psychological behavior index, family status index, growth experience index, and social relationship index; for any of the evaluation indicators among all the evaluation indicators: based on the comprehensive score corresponding to the evaluation indicator, evaluating and predicting the management risk level of the target correction object, and outputting the predicted management risk level; based on the predicted management risk level corresponding to each of the evaluation indicators among all the evaluation indicators, dynamically adjusting the preliminary correction plan to generate a new correction plan.

[0006] Optionally, the survey subjects of the community correction management include: family assessors, neighbor assessors, village committee assessors and original unit assessors; and also include: obtaining the assessment opinions of family assessors when the preliminary correction plan is implemented for the target correction object, and generating corresponding family supervision data; obtaining the assessment opinions of neighbor assessors when the preliminary correction plan is implemented for the target correction object, and generating corresponding neighbor supervision data; obtaining the assessment opinions of village committee assessors when the preliminary correction plan is implemented for the target correction object, and generating corresponding village committee supervision data; obtaining the assessment opinions of original unit assessors when the preliminary correction plan is implemented for the target correction object, and generating corresponding original unit supervision data; using the family supervision data, neighbor supervision data, village committee supervision data, and original unit supervision data together as the supervision data generated by the target correction object when the preliminary correction plan is implemented.

[0007] Optionally, the comprehensive score corresponding to each evaluation indicator of the target correction object in community correction management is determined based on the supervision data generated by the target correction object when the preliminary correction plan is implemented; including: based on the family supervision data generated by the target correction object when the preliminary correction plan is implemented, the first score corresponding to the target correction object under each evaluation indicator is determined; based on the neighbor supervision data generated by the target correction object when the preliminary correction plan is implemented, the second score corresponding to the target correction object under each evaluation indicator is determined; based on the village and neighborhood committee supervision data generated by the target correction object when the preliminary correction plan is implemented, the third score corresponding to the target correction object under each evaluation indicator is determined; based on the original unit supervision data generated by the target correction object when the preliminary correction plan is implemented, the fourth score corresponding to the target correction object under each evaluation indicator is determined; for any evaluation indicator among all evaluation indicators: determine the weight of each score under the evaluation indicator, and generate a comprehensive score corresponding to the evaluation indicator based on the first score, the second score, the third score, the fourth score, the weight of each score, and / or the trust coefficient of the survey object.

[0008] Optionally, the method determines the first score corresponding to the target correction object under each evaluation indicator based on the family supervision data generated by the target correction object when executing the preliminary correction plan; including: generating a first evaluation interface based on the evaluation request of the target correction object by the family evaluator; wherein the first evaluation interface includes subjective malignancy index options, psychological behavior index options, family status index options, growth experience index options, and social relationship index options; generating a second evaluation interface based on the family evaluator's selection of any evaluation indicator option in the first evaluation interface; wherein the second evaluation interface includes: a number of sub-evaluation indicators and a grade option corresponding to each of the sub-evaluation indicators; based on the family evaluator's selection of the grade option corresponding to any of the sub-evaluation indicators in the second evaluation interface, selecting a score corresponding to the grade option from the grade score table, and determining the evaluator score corresponding to the sub-evaluation indicator with the selected score; generating the family evaluator's first score for the evaluation indicator based on the evaluator score corresponding to each of all the sub-evaluation indicators.

[0009] Optionally, the method generates a first score for the family evaluator for the evaluation indicator based on the evaluator score corresponding to each of the sub-evaluation indicators in all the sub-evaluation indicators; including: determining the score coefficient of the family evaluator based on the trust coefficient of the family evaluator; adding the evaluator score corresponding to each of the sub-evaluation indicators in all the sub-evaluation indicators to obtain the family score corresponding to the target correction object under the evaluation indicator; determining the average value of several family scores and applying the corresponding score coefficient to obtain the first score of the family evaluator for the evaluation indicator.

[0010] Optionally, the preliminary corrective plan is obtained based on the original supervision data of the target correction object; based on the predicted management risk level corresponding to each of the evaluation indicators in all the evaluation indicators, the preliminary corrective plan is dynamically adjusted to generate a new corrective plan; including: obtaining the original management risk level corresponding to each of the evaluation indicators in the preliminary corrective plan; for any evaluation indicator: determining whether the original management risk level is consistent with the predicted management risk level; if not, obtaining the predicted corrective suggestions corresponding to the predicted management risk level; and using the obtained predicted corrective suggestions to replace the original corrective suggestions corresponding to the original management risk level in the preliminary corrective plan; if so, retaining the original corrective suggestions corresponding to the original management risk level in the preliminary corrective plan; generating adjustment results; and generating a new corrective plan based on the adjustment results corresponding to each of the evaluation indicators in all the evaluation indicators.

[0011] According to the second aspect of this embodiment, there is also provided an intelligent recommendation device for community correction management schemes, which is applied to the first device; it includes: a determination module, which is used to determine the comprehensive scores corresponding to various evaluation indicators of the target correction object in community correction management based on the supervision data generated by the target correction object when executing the preliminary correction plan; wherein the evaluation indicators of the community correction management include: subjective malice indicators, psychological behavior indicators, family status indicators, growth experience indicators, and social relationship indicators; an evaluation and prediction module, which is used to evaluate and predict the management risk level of the target correction object based on the comprehensive score corresponding to the evaluation indicator for any of the evaluation indicators among all the evaluation indicators, and output the predicted management risk level; a dynamic adjustment module, which is used to dynamically adjust the preliminary correction plan based on the predicted management risk level corresponding to each of the evaluation indicators among all the evaluation indicators to generate a new correction plan.

[0012] According to a third aspect of this embodiment, an electronic device is also provided, comprising: a processor; a memory for storing instructions executable by the processor; the processor is used to read the executable instructions from the memory and execute the instructions to implement the method described in the first aspect.

[0013] According to a fourth aspect of this embodiment, a computer-readable medium is further provided, on which a computer program is stored. When the program is executed by a processor, the method described in the first aspect is implemented.

[0014] The present invention provides an intelligent recommendation method and device for community correction management schemes, the method is applied to a first device; comprising: first, based on the supervision data generated by the target correction object when executing the preliminary correction scheme, determining the comprehensive score corresponding to each evaluation indicator of the target correction object in the community correction management; wherein the evaluation indicators of the community correction management include: subjective malice index, psychological behavior index, family status index, growth experience index, and social relationship index; secondly, for any of the evaluation indicators among all the evaluation indicators: based on the comprehensive score corresponding to the evaluation indicator, the management risk level of the target correction object is evaluated and predicted, and the predicted management risk level is output; finally, based on the predicted management risk level corresponding to each of the evaluation indicators among all the evaluation indicators, the preliminary correction scheme is dynamically adjusted to generate a new correction scheme. Therefore, based on the evaluation indicators of community correction management, we can quantitatively analyze the types of crimes, criminal situations, repentance, and daily supervision and assessment of the correction subjects, and scientifically evaluate the management risk level of the target correction subjects, so as to provide precise and personalized correction plans; reduce the burden of judicial personnel in formulating correction plans, and improve the work efficiency and accuracy of judicial personnel; thereby realizing the intelligence of community correction management. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Hereinafter, some specific embodiments of the present invention will be described in detail in an exemplary and non-limiting manner with reference to the accompanying drawings. The same reference numerals in the accompanying drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the accompanying drawings:

[0016] Figure 1 A flowchart of an intelligent recommendation method for a community correction management solution provided by one embodiment of the present invention;

[0017] Figure 2 A schematic diagram of the structure of an intelligent recommendation device for community correction management solutions provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0019] like Figure 1 , which is a flow chart of an intelligent recommendation method for a community correction management solution provided by one embodiment of the present invention;

[0020] A method for intelligently recommending a community correction management plan, applied to a first device, comprising at least the following steps:

[0021] S101, based on the supervision data generated by the target correction subject when executing the preliminary correction plan, determine the comprehensive score corresponding to each evaluation indicator of the target correction subject in community correction management; wherein the evaluation indicators of community correction management include: subjective malice indicator, psychological behavior indicator, family status indicator, growth experience indicator, and social relationship indicator;

[0022] S102, for any of the evaluation indicators among all the evaluation indicators: based on the comprehensive score corresponding to the evaluation indicator, evaluate and predict the management risk level of the target correction object, and output the predicted management risk level;

[0023] S103, dynamically adjusting the preliminary correction plan based on the predicted management risk level corresponding to each evaluation indicator among all the evaluation indicators, and generating a new correction plan.

[0024] In S101, there is no limitation on the acquisition of supervision data, which can be based on the report of the target correction object and the visit of the staff to accurately record the correction situation of the target correction object. It can also be collected based on the community correction management software program.

[0025] Since the supervision data may be from the same survey subject or from different survey subjects, the supervision data is selected from at least one of family supervision data, neighbor supervision data, village committee supervision data, and original unit supervision data.

[0026] For example: when the survey objects of the community correction management include: family assessors, neighbor assessors, village committee assessors and original unit assessors; the supervision data generated by the target correction object when implementing the preliminary correction plan is obtained by the following method: obtaining the evaluation opinions of family assessors when the target correction object implements the preliminary correction plan, and generating corresponding family supervision data; obtaining the evaluation opinions of neighbor assessors when the target correction object implements the preliminary correction plan, and generating corresponding neighbor supervision data; obtaining the evaluation opinions of village committee assessors when the target correction object implements the preliminary correction plan, and generating corresponding village committee supervision data; obtaining the evaluation opinions of original unit assessors when the target correction object implements the preliminary correction plan, and generating corresponding original unit supervision data; the family supervision data, neighbor supervision data, village committee supervision data, and original unit supervision data are collectively used as the supervision data generated by the target correction object when implementing the preliminary correction plan.

[0027] The supervision data is evaluated based on preset rules or scoring models, and the comprehensive scores corresponding to various evaluation indicators of the target correction object in community correction management are output.

[0028] This embodiment analyzes the supervision data generated when the preliminary correction plan is implemented on the target correction object from two dimensions: behavior and environment, so as to be able to conduct a more comprehensive assessment of the target correction object, thereby improving the accuracy of the target correction object management risk level assessment.

[0029] In S102, for any of the evaluation indicators: based on the grade scoring rules corresponding to the evaluation indicators, according to the comprehensive scores corresponding to the evaluation indicators, the predicted management risk level of the target correction object is determined; wherein the comprehensive score and the management risk level in the grade scoring rules have a one-to-one correspondence. Alternatively, the comprehensive score corresponding to the evaluation indicator is input into the grade prediction model, grade prediction processing is performed, and the predicted management risk level corresponding to the evaluation indicator is output.

[0030] For example: for the subjective malignancy index: 1 < comprehensive score ≤ 5 is a low malignancy level; 5 < comprehensive score ≤ 8 is a medium malignancy level; 8 < comprehensive score ≤ 10 is a high malignancy level.

[0031] Regarding psychological and behavioral indicators: a comprehensive score of 0 means no psychological problems; 0 < comprehensive score ≤ 3 means mild problems; 3 < comprehensive score ≤ 7 means moderate problems; 7 < comprehensive score ≤ 10 means severe problems.

[0032] Regarding the family status indicator: a comprehensive score of 0 is a good level; 0<comprehensive score ≤ 3 is a general level; 3<comprehensive score ≤ 6 is a poor level; a comprehensive score greater than 6 is a crisis level.

[0033] For the growth experience index: a comprehensive score of 0 is a favorable level; 0<comprehensive score ≤ 3 is a medium level; 3<comprehensive score ≤ 7 is an unfavorable level; 7<comprehensive score ≤ 10 is severely unfavorable.

[0034] For the social relationship index: 0<comprehensive score ≤ 4 is a good level; 4<comprehensive score ≤ 9 is a general level; 9<comprehensive score ≤ 14 is a fragile level; 14<comprehensive score is a negative level.

[0035] In S103, each evaluation indicator has a corresponding predicted management risk level, and each predicted management risk level has a corresponding correction suggestion. Based on the correction suggestions corresponding to each evaluation indicator among all evaluation indicators, a current correction plan is generated; if the current correction plan is different from the preliminary correction plan, the preliminary correction plan is dynamically adjusted based on the current correction plan to generate a new correction plan; and the new correction plan is sent to the community manager.

[0036] Exemplarily, the original management risk level corresponding to each of the evaluation indicators in the preliminary corrective plan is obtained; for any evaluation indicator: whether the original management risk level is consistent with the predicted management risk level; if not, the predicted corrective suggestion corresponding to the predicted management risk level is obtained; and the original corrective suggestion corresponding to the original management risk level in the preliminary corrective plan is replaced with the obtained predicted corrective suggestion; if so, the original corrective suggestion corresponding to the original management risk level in the preliminary corrective plan is retained; an adjustment result is generated; and a new corrective plan is generated based on the adjustment result corresponding to each of the evaluation indicators in all the evaluation indicators.

[0037] For example: The correction suggestions for subjective malignancy indicators are as follows.

[0038] Correction recommendations for low-level crimes are as follows: (1) Education and guidance: Given that the subjective malice of such criminals is relatively low and they lack a correct understanding of laws and social norms, we should focus on strengthening legal education, moral and ethical education, and the cultivation of social responsibility. (2) Psychological counseling: Conduct individual or group psychological counseling to help them understand the consequences of their behavior, enhance their self-control ability, and solve the fundamental problems that may lead to crime, such as emotional management and impulse control. (3) Community service: Encourage them to participate in community service activities, enhance their sense of social responsibility and empathy through positive social interaction experiences, and gradually restore their social functions.

[0039] Correction recommendations for the medium-level offense are as follows: (1) Deepen legal education: Continue to strengthen the study of legal knowledge, while increasing case analysis to help criminals deeply understand the social harm of their behavior. (2) Vocational skills training: Provide vocational training courses to help criminals master a skill, improve their employment ability after returning to society, and reduce the possibility of reoffending due to financial difficulties. (3) Psychological intervention and behavioral correction: Implement a more systematic behavioral correction plan, including cognitive behavioral therapy, to change bad thinking patterns and behavioral habits, while strengthening emotional management and conflict resolution skills training.

[0040] Correction recommendations for high-level crimes are as follows: (1) High-intensity supervision and assessment: In view of the greater social harm caused by high-level criminals, more stringent supervision measures should be implemented, and psychological assessments should be conducted regularly to monitor their thoughts and behavioral changes. (2) In-depth psychological treatment: Professional psychologists should implement in-depth psychological treatment, conduct long-term intervention on their antisocial tendencies and moral degradation, explore the root causes of crime, and conduct personalized psychological reconstruction. (3) Social integration plan: Design a long-term social integration plan, gradually allow them to participate in social life under strict supervision, such as participating in work internships and social services under specific conditions, and evaluate their social adaptability and sincerity in reforming themselves.

[0041] For example: Correction suggestions for psychological behavioral indicators are as follows.

[0042] Correction suggestions for the mild level are: (1) Self-awareness enhancement: Conduct personal growth workshops to help the correction subjects enhance their self-awareness and understand their emotions and behavior patterns. (2) Mental health education: Organize mental health lectures regularly to popularize mental health knowledge and teach basic emotion management and stress relief skills. (3) Social skills training: Group activities or team building activities to promote interpersonal communication and learn effective communication and conflict resolution methods. (4) Positive motivation: Set small goals and reward mechanisms to encourage every bit of progress made in the correction process and enhance self-efficacy.

[0043] Corrective recommendations for the moderate level are: (1) Regular psychological counseling: One-on-one counseling provided by professional psychological counselors to conduct in-depth discussions and interventions on frequently occurring psychological and behavioral problems. (2) Cognitive behavioral therapy: For specific problems (such as anxiety, depression, and impulsive behavior), cognitive behavioral therapy is used to adjust negative cognitions and improve behavioral responses. (3) Family treatment: If possible, include family members in the treatment to improve family relationships and build a supportive family environment. (4) Vocational skills training and employment guidance: Improve employment ability, enhance self-worth, and prepare for a smooth return to society. (5) Mutual aid groups: Participate in mutual aid groups composed of people with the same or similar backgrounds to share experiences, support each other, and reduce loneliness and isolation.

[0044] The correction recommendations corresponding to the high level are: (1) Emergency psychological intervention: For individuals in crisis, immediately initiate emergency intervention procedures to ensure their safety. (2) Professional psychotherapy: Long-term, systematic treatment is provided by senior psychotherapists or psychiatrists, such as psychodynamic therapy, post-traumatic stress disorder treatment, etc. (3) Medication-assisted treatment: Under the evaluation of professional doctors, for correction subjects with serious mental illness, consider whether medication-assisted treatment is needed. (4) Close monitoring and case management: Establish a dedicated case manager to monitor the progress of treatment, coordinate multiple resources, and ensure the continuity and effectiveness of the treatment plan. (5) Transitional accommodation and social integration projects: Provide transitional housing to reduce the pressure of direct return to society, and gradually increase their social participation through social practice, volunteer service and other activities.

[0045] For example: The correction suggestions for the family status indicator are as follows.

[0046] Correction suggestions corresponding to the good level: Positive indicators. This means that the family environment is stable, the relationship between family members is close, and they can provide positive influence and sufficient support for the correction object.

[0047] Correction suggestions corresponding to the general level: It means that the family members have certain problems, such as poor communication, financial pressure, etc., but overall they still maintain certain functions and have a certain positive or neutral impact on the correction object.

[0048] Correction suggestions corresponding to the bad level: It means that the family environment has a significant negative impact on the correction target, such as frequent conflicts, lack of necessary support, negative role models, etc., which may hinder their correction process and resocialization.

[0049] Correction recommendations corresponding to the crisis level: Indicates that the family is in an extremely unstable state, such as violence, serious economic crisis, family disintegration, etc., which poses a serious threat to the correction target and requires urgent intervention and special support.

[0050] For example: The correction suggestions for the growth experience indicator are as follows.

[0051] Corrective suggestions corresponding to the favorable level: growing in a positive environment, receiving good education and emotional support, are conducive to the formation of positive values ​​and social adaptability.

[0052] Strengthen strengths: Encourage participation in community service or leadership projects, become positive role models, and enhance self-confidence and sense of responsibility. Personal development: Provide advanced skills training or higher education opportunities to further develop personal potential. Give back to the community: Encourage participation in public welfare activities, use your own strengths to help others, and enhance social responsibility.

[0053] Corrective suggestions for the medium level: Although there are some unfavorable factors, the overall balance is still maintained. It poses certain challenges to personal development but does not constitute a serious obstacle.

[0054] Psychological support: Regular psychological counseling services to help deal with problems left over from growing up and improve emotional management skills. Social skills improvement: Group activities, communication skills training, enhance social skills and teamwork skills. Educational resource supplement: Provide tutoring or adult education courses to fill possible educational gaps and improve employment competitiveness.

[0055] Corrective suggestions corresponding to the unfavorable level: encountering significant negative factors during the growth process, such as family breakdown, financial poverty, violent environment, etc., have an adverse impact on the individual's psychology and behavioral patterns.

[0056] Deep psychological intervention: Professional psychotherapy or post-traumatic stress disorder treatment is carried out for experienced trauma or psychological problems. Life skills training: Financial planning, self-care training, and improving independent living ability. Stable living environment: Provide stable housing and employment assistance as much as possible to reduce the pressure caused by life uncertainty. Positive social network: Guide participation in positive clubs or interest groups to establish a healthy social support system. Corrective suggestions for severe disadvantages: Extreme environments or experiences, such as long-term abuse, severe neglect, major traumatic events, etc., cause profound damage to individual mental health, and may require long-term psychological intervention. Emergency psychological assistance: Immediately initiate crisis intervention to ensure personal safety and provide emergency psychological support. Long-term psychological rehabilitation plan: Develop a personalized long-term psychotherapy plan and regularly evaluate progress, which may include family therapy, cognitive behavioral therapy, etc. Life reconstruction plan: Provide a full range of life reconstruction services, such as accommodation assistance, employment guidance, education funding, etc., to promote life stability. Social integration program: Design special social integration programs, such as social skills training, volunteer services, etc., to gradually restore social functions.

[0057] For example: The correction suggestions corresponding to the social relationship indicators are as follows.

[0058] Correction suggestions corresponding to a good level: Having a healthy social network and strong positive support will help the positive transformation and social adaptation of the correction subject.

[0059] Deepen positive networks: encourage participation in deeper community services and leadership training to strengthen their positive influence. Give back to society: advocate participation in social welfare as volunteers to enhance social responsibility and social contribution.

[0060] Correction suggestions for general levels: The social circle is relatively stable. Although it has positive effects, there are also some uncertainties that need further guidance and optimization. Social circle optimization: Expand and optimize the social network through activities such as interest groups and professional exchange meetings. Psychological counseling: Provide psychological counseling to help deal with uncertainties in social interactions and improve emotional management skills.

[0061] Correction suggestions corresponding to the vulnerability level: weak social relationship foundation, lack of effective support system, and easy to be affected by negative external factors. Establish a support system: assist in establishing connections with family members and community service organizations, and provide emotional and life support. Skill improvement: organize social skills training to enhance their social skills and independent living ability.

[0062] Correction suggestions corresponding to the negative level: The surrounding environment is full of negative influences, such as criminal subculture and bad social circles, which pose a serious challenge to the correction process of the correction object. Isolate negative influences: Assist them to stay away from bad environments and people, and provide safe housing when necessary. Deep psychological intervention: Conduct long-term psychological treatment to solve psychological problems caused by negative influences. Community integration plan: Design special community acceptance and integration projects to reduce the sense of exclusion and promote their social integration.

[0063] This embodiment quantitatively analyzes the types of crimes, criminal situations, remorse performance, and daily supervision and assessment of the correction subjects based on the evaluation indicators of community correction management, and scientifically evaluates the management risk level of the target correction subjects, thereby providing precise and personalized correction plans; reducing the burden on judicial personnel in formulating correction plans, and improving the work efficiency and accuracy of judicial personnel; thereby realizing the intelligentization of community correction management.

[0064] In a preferred implementation manner of this embodiment, the comprehensive score corresponding to each evaluation indicator of the target correction object in community correction management is determined based on the supervision data generated by the target correction object when executing the preliminary correction plan; including: for any evaluation indicator: based on the family supervision data generated by the target correction object when executing the preliminary correction plan, the first score corresponding to the target correction object under the evaluation indicator is determined; based on the neighbor supervision data generated by the target correction object when executing the preliminary correction plan, the second score corresponding to the target correction object under the evaluation indicator is determined; based on the village and neighborhood committee supervision data generated by the target correction object when executing the preliminary correction plan, the third score corresponding to the target correction object under the evaluation indicator is determined; based on the original unit supervision data generated by the target correction object when executing the preliminary correction plan, the fourth score corresponding to the target correction object under the evaluation indicator is determined; the weight of each score under the evaluation indicator is determined; based on the first score, the second score, the third score, the fourth score, and the weight of each score, a comprehensive score corresponding to the evaluation indicator is generated.

[0065] For example: the first scores corresponding to the target correction object determined based on the family supervision data under each evaluation indicator include: the first score corresponding to the subjective malignancy index, the first score corresponding to the psychological and behavioral index, the first score corresponding to the family status index, the first score corresponding to the growth experience index, and the first score corresponding to the social relationship index. The second scores corresponding to the target correction object determined based on the neighbor supervision data under each evaluation indicator include: the second score corresponding to the subjective malignancy index, the second score corresponding to the psychological and behavioral index, the second score corresponding to the family status index, the second score corresponding to the growth experience index, and the second score corresponding to the social relationship index. The third scores corresponding to the target correction object determined based on the village and neighborhood committee supervision data under each evaluation indicator include: the third score corresponding to the subjective malignancy index, the third score corresponding to the psychological and behavioral index, the third score corresponding to the family status index, the third score corresponding to the growth experience index, and the third score corresponding to the social relationship index. The fourth scores corresponding to the target correction object determined based on the original unit supervision data under each evaluation indicator include: the fourth score corresponding to the subjective malignancy index, the fourth score corresponding to the psychological and behavioral index, the fourth score corresponding to the family status index, the fourth score corresponding to the growth experience index, and the fourth score corresponding to the social relationship index.

[0066] In order to reduce the impact of the subjective factors of the survey subjects on the management risk level of the target correction object, this embodiment sets different weights for the scores from different survey subjects under the same evaluation index.

[0067] For example: for the subjective malicious index: a first weight is set for the first score corresponding to the family supervision data, a second weight is set for the second score corresponding to the neighbor supervision data, a third weight is set for the third score corresponding to the village committee supervision data, and a fourth weight is set for the fourth score corresponding to the original unit supervision data; based on the first score, the second score, the third score, the fourth score, and the weights of the scores, a comprehensive score corresponding to the evaluation index is generated.

[0068] Similarly, we can obtain comprehensive scores corresponding to psychological and behavioral indicators, comprehensive scores corresponding to family status indicators, comprehensive scores corresponding to growth experience indicators, and comprehensive scores corresponding to social relationship indicators.

[0069] Each score weight can be determined based on the attention mechanism or obtained based on experience.

[0070] For example: for subjective malignancy index: the first weight of the first score F corresponding to the family supervision data: W1 = 0.2 (due to emotional factors, may be too lenient or harsh). The second weight of the second score N corresponding to the neighbor supervision data: W2 = 0.25 (daily contact but limited in depth). The third weight of the third score W3 corresponding to the village committee supervision data: W3 = 0.3 (official agency, relatively objective). The fourth weight of the fourth score U corresponding to the original unit supervision data: W4 = 0.25 (understanding their occupation, learning attitude and social situation).

[0071] The comprehensive score is calculated based on the following formula (1):

[0072] Score=W1*F+W2*N+W3*C+W4*U Formula (1);

[0073] For psychological and behavioral indicators: the first score F corresponding to the family supervision data i The first weight: W1 = 0.2 (emotional factors have a greater impact). The second score N corresponding to the neighbor supervision data i The second weight: W2 = 0.15 (daily contact but limited depth). The third score corresponding to the village committee supervision data is C i The third weight: W3 = 0.3 (official agency, relatively objective). The fourth score U corresponding to the original unit supervision data i The fourth weight: W4=0.35 (understanding their social functions and professional performance).

[0074] The comprehensive score is calculated based on the following formula (2):

[0075]

[0076] Among them, TotalScore is the comprehensive score of 12 features, and i represents 12 indicators.

[0077] In order to reduce the inconvenience caused by staff visiting and recording supervision data, this embodiment collects supervision data based on a community correction management software program.

[0078] For example: based on the family supervision data generated by the target correction object when executing the preliminary correction plan, determine the first score corresponding to the target correction object under each evaluation indicator; including generating a first evaluation interface based on the evaluation request of the target correction object by the family evaluator; wherein the first evaluation interface includes subjective malignancy index options, psychological behavior index options, family status index options, growth experience index options, and social relationship index options; based on the family evaluator's selection of any evaluation indicator option in the first evaluation interface, generate a second evaluation interface; wherein the second evaluation interface includes: a number of sub-evaluation indicators and a grade option corresponding to each of the sub-evaluation indicators; based on the family evaluator's selection of the grade option corresponding to any of the sub-evaluation indicators in the second evaluation interface, select the score corresponding to the grade option from the grade score table, and determine the evaluator score corresponding to the sub-evaluation indicator with the selected score; based on the evaluator score corresponding to each of the sub-evaluation indicators in all the sub-evaluation indicators, generate the family evaluator's first score for the evaluation indicator.

[0079] For example, the sub-evaluation indicators corresponding to the subjective malignancy index include:

[0080] Extremely low subjective malice index: This means that the criminal has almost no malicious intent and may have acted out of ignorance, misunderstanding, or emergency avoidance.

[0081] Low subjective malice index: criminal behavior may be caused by impulse, emotional loss of control or slight greed. The criminals show remorse and lack awareness of the harm to society.

[0082] Moderate subjective malice indicator: There is a certain degree of premeditation or a certain degree of foresight into the consequences of the behavior, but it is not extremely bad, and there may be a certain degree of reflection after the crime.

[0083] High subjective malice index: The criminal act is carefully planned, the means are cruel or cause great harm to the victim, indicating that the criminal disregards the law and social morality.

[0084] Extremely high subjective malice index: The criminal behavior is extremely bad, such as serial crimes, large-scale harm to public safety, and extremely cruel treatment of victims, indicating that the criminal has strong antisocial tendencies and deep moral degradation.

[0085] For example: The sub-evaluation indicators corresponding to the psychological behavior indicators include:

[0086] Anxiety and fear indicators: worry about the future, fear of social rejection, and uneasiness about the unknown correction process.

[0087] Indicators of inferiority complex: Low self-worth and belief that one is unable to change or fit in with society.

[0088] Resistance and defiance indicators: Suspicion or hostility toward corrective measures and unwillingness to cooperate.

[0089] Depressive mood indicators: low mood, lack of energy, and loss of hope for the future.

[0090] Guilt and regret indicators: Deep regret for past criminal behavior and seeking psychological compensation.

[0091] Indicators of social impairment: difficulty establishing or maintaining healthy interpersonal relationships and strong feelings of loneliness.

[0092] Adaptation difficulty indicator: feeling uncomfortable when faced with changes in social roles and adjustments in daily life routines.

[0093] Avoidance behavior indicators: Avoidance of facing problems, such as absence from corrective activities and refusal to communicate.

[0094] Indicators of impulsive behavior: irritability, taking unthoughtful actions, and being likely to cause conflict.

[0095] Passive indicators: lack of initiative and negative attitude towards any change.

[0096] Recidivism Indicators: Potential risk of returning to old habits or criminal behavior.

[0097] Overcompensation indicator: Trying too hard in some area to prove your worth or make up for a mistake.

[0098] For example, the sub-assessment indicators corresponding to the family status indicator include:

[0099] Supportive family indicators: harmonious relationships among family members, who can provide emotional, material and spiritual support, encourage the subject of correction to correct mistakes and actively participate in correction.

[0100] Indicators of alienated families: Insufficient communication and weak emotional connections among family members, and possible lack of understanding and concern for the current situation of the correctional subject.

[0101] Conflict indicators: There are many disputes and conflicts within the family, which may increase the psychological burden of the correction target and even stimulate bad behavior.

[0102] Economic hardship indicator: Poor family economic conditions may affect the basic living needs of the correction subject and increase the difficulty of his / her return to society.

[0103] Functional deficiency indicators: Incomplete family structure (such as single-parent families, orphans), or family function is impaired due to illness or disability of family members, making it difficult to provide necessary support.

[0104] Negative role model indicator: Family members with criminal records or bad behavior may have a negative impact on the correctional subject and increase his or her risk of recidivism.

[0105] For example, the sub-evaluation indicators corresponding to the growth experience indicator include:

[0106] Stability and care indicators: growing up in a harmonious family environment, receiving adequate care, education and guidance, and having positive life role models.

[0107] Neglect and lack of love indicators: Lack of parental attention and emotional support in childhood, may have experienced neglect or emotional deprivation.

[0108] Economic and resource scarcity indicators: Growing up in a family with poor economic conditions, with limited educational resources and difficulty in fully meeting basic life needs.

[0109] Domestic violence or conflict indicators: Frequent physical or verbal violence in the family environment, or frequent conflicts between parents, causing psychological trauma.

[0110] Indicators of early bad exposure: Being exposed to criminal behavior or bad social circles in early years makes people more likely to imitate bad behavior.

[0111] Education interruption indicator: interruption of studies due to various reasons (such as economic and family problems), lack of formal education and positive guidance.

[0112] Special experience indicators: such as orphans, street children, and those who have experienced major natural disasters or man-made disasters. These special experiences may cause long-term psychological trauma.

[0113] For example, the sub-evaluation indicators corresponding to the social relationship indicator include:

[0114] Positive support network indicators: having positive friends, family, and colleagues who can provide emotional support, employment information, positive encouragement, etc.

[0115] Stable social circle: participate in community activities, have harmonious relations with neighbors, have regular social activities and healthy interests and hobbies.

[0116] Indicators of isolation and helplessness: lack of stable social connections, little interaction with relatives and friends, narrow social circle, and difficulty in obtaining external help.

[0117] Negative influence indicators: There are bad people in the surrounding environment or among friends, which may induce them to commit crimes again or maintain bad habits.

[0118] Victim-offender relationship indicators: There may be complex emotional entanglements between victims related to the crime, which affects their psychological state and the recovery of social relationships.

[0119] Career Network Indicator: Having stable professional or industry connections that can aid in re-employment and career development.

[0120] Community exclusion indicator: Being excluded or discriminated against by community members due to a criminal record, which affects their social integration.

[0121] In a preferred implementation manner of this embodiment, the first score of the family evaluator for the evaluation indicator is generated based on the evaluator score corresponding to each of the sub-evaluation indicators in all the sub-evaluation indicators; including: determining the score coefficient of the family evaluator based on the trust coefficient of the family evaluator; adding the evaluator score corresponding to each of the sub-evaluation indicators in all the sub-evaluation indicators to obtain the family score corresponding to the target correction object under the evaluation indicator; determining the average value of several family scores and applying the corresponding score coefficient to obtain the first score of the family evaluator for the evaluation indicator.

[0122] For example, for the family status indicator: For each family status (denoted by j, where j=1 corresponds to alienated family, j=2 corresponds to conflict, and j=5 corresponds to negative role model), the first score F corresponding to the family supervision data i The first weight of: W1 = 0.25. The second score N corresponding to the neighbor supervision data i The second weight: W2 = 0.15. The third score C corresponding to the village committee supervision data i The third weight of: W3 = 0.3. The fourth score U corresponding to the original unit supervision data i The fourth weight: W4 = 0.3;

[0123] Trust coefficient (T): The trust coefficient reflects the reliability of the scores from different sources. The trust coefficient T of the survey subjects: family assessors T1 = 0.8, neighbor assessors T2 = 0.6, village committee assessors T3 = 0.9, and original unit assessors T4 = 0.7.

[0124] The comprehensive score is calculated based on the following formula (3) and formula (4):

[0125] First, the weighted average of each category's ratings was calculated;

[0126]

[0127] Among them, S kj is the score of the k-th scoring source on the j-th sub-evaluation indicator, T k is the corresponding trust coefficient. jIt indicates the first score generated by any survey object after evaluating all sub-evaluation indicators under the evaluation indicator.

[0128] Next, calculate the comprehensive score

[0129] TotalScore=Σ j W j ·A j Formula (4);

[0130] For the growth experience indicator: the first score F corresponding to the family supervision data i The first weight of: W1 = 0.25. The second score N corresponding to the neighbor supervision data i The second weight: W2 = 0.15. The third score C corresponding to the village committee supervision data i The third weight of: W3 = 0.3. The fourth score U corresponding to the original unit supervision data i The fourth weight is W4 = 0.3. The trust coefficient T of the survey subjects: family assessors T1 = 0.7, neighbor assessors T2 = 0.6, village committee assessors T3 = 0.8, and original unit assessors T4 = 0.75.

[0131] The comprehensive score is calculated based on the following formula (3) and formula (5):

[0132] Final comprehensive score:

[0133] TotalScore=2×Σ j W j ·A j

[0134] Formula (5);

[0135] Among them, the original scoring index level is 0-4 points, which is multiplied by 2 to map the score range to 0-10 points.

[0136] Regarding the social relationship indicators: the trust coefficient (T) of the survey subjects: family assessors T1=0.8, neighbor assessors T2=0.6, village committee assessors T3=0.75, and original unit assessors T4=0.7.

[0137] Direct influence weight of the scoring source: the first score F corresponding to the family supervision data i The first weight of: W1 = 0.3. The second score N corresponding to the neighbor supervision data i The second weight: W2 = 0.2. The third score C corresponding to the village committee supervision data i The third weight of: W3 = 0.15. The fourth score U corresponding to the original unit supervision data i The fourth weight: W4=0.35;

[0138] For each sub-evaluation indicator, a weighted average score is calculated, which includes the trust factor and the direct influence weight of the scoring source:

[0139]

[0140] Among them, S kj is the original score of the k-th scoring source for the j-th sub-evaluation indicator.

[0141] Finally, the comprehensive score is shown in formula (7).

[0142] TotalScore = ∑ j A j

[0143] Formula (7).

[0144] In a preferred implementation manner of this embodiment, the preliminary corrective plan is obtained based on the original supervision data of the target correction object; based on the predicted management risk level corresponding to each of the evaluation indicators in all the evaluation indicators, the preliminary corrective plan is dynamically adjusted to generate a new corrective plan; including: obtaining the original management risk level corresponding to each of the evaluation indicators in the preliminary corrective plan; for any evaluation indicator: determining whether the original management risk level is consistent with the predicted management risk level; if not, obtaining the predicted corrective suggestion corresponding to the predicted management risk level; and using the obtained predicted corrective suggestion to replace the original corrective suggestion corresponding to the original management risk level in the preliminary corrective plan; if so, retaining the original corrective suggestion corresponding to the original management risk level in the preliminary corrective plan; generating an adjustment result; generating a new corrective plan based on the adjustment result corresponding to each of the evaluation indicators in all the evaluation indicators.

[0145] It should be noted that the acquisition of the initial correction plan is similar to the acquisition of the new correction plan. The only difference is that the original supervision data corresponding to the initial correction plan is the supervision data of the target correction object before correction.

[0146] In this embodiment, predictive management risk assessment can be performed multiple times after entering correction and before being released from correction. During the period, the correction status of the target correction object must be accurately recorded according to the report of the target correction object and the input of the survey object, ensuring that each predictive management risk assessment is based on the result of actual data, thereby ensuring the rationality of the assessment result.

[0147] This embodiment can automatically adjust the preliminary correction plan based on the supervision data of the target correction object, which not only realizes the intelligent recommendation of correction plans for community management, but also improves the accuracy of correction plans in community management, thereby realizing personalized management of correction plans; reducing the burden of judicial personnel in formulating correction plans and improving the work efficiency of judicial personnel.

[0148] The following describes in detail an intelligent recommendation method for a community correction management solution provided by this embodiment in conjunction with specific application scenarios.

[0149] An intelligent recommendation method for community correction management schemes comprises at least the following steps:

[0150] S1, obtain the evaluation opinions of the family assessors when the target correction object implements the preliminary correction plan, and generate the corresponding family supervision data; obtain the evaluation opinions of the neighbor assessors when the target correction object implements the preliminary correction plan, and generate the corresponding neighbor supervision data; obtain the evaluation opinions of the village and neighborhood committee assessors when the target correction object implements the preliminary correction plan, and generate the corresponding village and neighborhood committee supervision data; obtain the evaluation opinions of the original unit assessors when the target correction object implements the preliminary correction plan, and generate the corresponding original unit supervision data; the family supervision data, neighbor supervision data, village and neighborhood committee supervision data, and original unit supervision data are used together as the supervision data generated by the target correction object when the preliminary correction plan is implemented. Among them, the evaluation indicators of community correction management include: subjective malice indicators, psychological and behavioral indicators, family status indicators, growth experience indicators, and social relationship indicators.

[0151] S2, for any evaluation indicator:

[0152] Based on the family evaluator's evaluation request for the target correction object, a first evaluation interface is generated; wherein, the first evaluation interface includes subjective malignancy index options, psychological behavior index options, family status index options, growth experience index options, and social relationship index options; based on the family evaluator's selection of any evaluation index option in the first evaluation interface, a second evaluation interface is generated; wherein, the second evaluation interface includes: a number of sub-evaluation indicators and a grade option corresponding to each of the sub-evaluation indicators; based on the family evaluator's selection of the grade option corresponding to any of the sub-evaluation indicators in the second evaluation interface, a score corresponding to the grade option is selected from the grade score table, and the selected score is used to determine the evaluator score corresponding to the sub-evaluation indicator; based on the evaluator score corresponding to each of the sub-evaluation indicators in all the sub-evaluation indicators, a first score of the family evaluator for the evaluation indicator is generated.

[0153] Based on the evaluation request of the neighbor evaluator for the target correction object, a first evaluation interface is generated; wherein, the first evaluation interface includes subjective malignancy index options, psychological behavior index options, family status index options, growth experience index options, and social relationship index options; based on the neighbor evaluator's selection of any evaluation index option in the first evaluation interface, a second evaluation interface is generated; wherein, the second evaluation interface includes: a number of sub-evaluation indicators and a grade option corresponding to each of the sub-evaluation indicators; based on the neighbor evaluator's selection of the grade option corresponding to any of the sub-evaluation indicators in the second evaluation interface, a score corresponding to the grade option is selected from the grade score table, and the selected score is used to determine the evaluator score corresponding to the sub-evaluation indicator; based on the evaluator score corresponding to each of the sub-evaluation indicators in all the sub-evaluation indicators, a second score of the neighbor evaluator for the evaluation indicator is generated.

[0154] Based on the evaluation request of the village committee evaluator for the target correction object, a first evaluation interface is generated; wherein, the first evaluation interface includes subjective malignancy index options, psychological behavior index options, family status index options, growth experience index options, and social relationship index options; based on the selection of any evaluation index option in the first evaluation interface by the village committee evaluator, a second evaluation interface is generated; wherein, the second evaluation interface includes: a number of sub-evaluation indicators and a grade option corresponding to each of the sub-evaluation indicators; based on the selection of the grade option corresponding to any of the sub-evaluation indicators in the second evaluation interface by the village committee evaluator, a score corresponding to the grade option is selected from the grade score table, and the selected score is used to determine the evaluator score corresponding to the sub-evaluation indicator; based on the evaluator score corresponding to each of the sub-evaluation indicators in all the sub-evaluation indicators, a third score of the village committee evaluator for the evaluation indicator is generated.

[0155] Based on the evaluation request of the original unit evaluator for the target correction object, a first evaluation interface is generated; wherein, the first evaluation interface includes subjective malignancy index options, psychological behavior index options, family status index options, growth experience index options, and social relationship index options; based on the selection of any evaluation index option in the first evaluation interface by the original unit evaluator, a second evaluation interface is generated; wherein, the second evaluation interface includes: a number of sub-evaluation indicators and a grade option corresponding to each of the sub-evaluation indicators; based on the selection of the grade option corresponding to any of the sub-evaluation indicators in the second evaluation interface by the original unit evaluator, a score corresponding to the grade option is selected from the grade score table, and the selected score is used to determine the evaluator score corresponding to the sub-evaluation indicator; based on the evaluator score corresponding to each of the sub-evaluation indicators in all the sub-evaluation indicators, a fourth score of the original unit evaluator for the evaluation indicator is generated.

[0156] Based on the first score, the second score, the third score, the fourth score, and the weights of the scores, a comprehensive score corresponding to the evaluation indicator is generated.

[0157] S3, obtaining the original management risk level corresponding to each of the evaluation indicators in the preliminary corrective plan; for any evaluation indicator: determining whether the original management risk level is consistent with the predicted management risk level; if not, obtaining the predicted corrective suggestions corresponding to the predicted management risk level; and using the obtained predicted corrective suggestions to replace the original corrective suggestions corresponding to the original management risk level in the preliminary corrective plan; if so, retaining the original corrective suggestions corresponding to the original management risk level in the preliminary corrective plan, and generating an adjustment result; generating a new corrective plan based on the adjustment results corresponding to each of the evaluation indicators in all the evaluation indicators.

[0158] For example:

[0159] The initial correction plan is as follows:

[0160] Subjective malignancy index: correction suggestions corresponding to low malignancy levels; psychological and behavioral index: correction suggestions corresponding to mild levels; family status index: correction suggestions corresponding to general levels; growth experience index: correction suggestions corresponding to favorable levels; social relationship index: correction suggestions corresponding to general levels.

[0161] Under the special management level, the target correction object is managed according to the preliminary correction plan, and the supervision data generated by the target correction object when executing the preliminary correction plan is recorded, and a new correction plan is output.

[0162] The new correction plan is as follows:

[0163] Subjective malignancy index: correction suggestions corresponding to low malignancy level; psychological and behavioral index: correction suggestions corresponding to mild level; family status index: correction suggestions corresponding to general level; growth experience index: correction suggestions corresponding to medium level; social relationship index: correction suggestions corresponding to good level.

[0164] like Figure 2 The figure is a schematic diagram of the structure of an intelligent recommendation device for community correction management solutions provided by one embodiment of the present invention.

[0165] A smart recommendation device for community correction management schemes, applied to a first device; the device 200 includes: a determination module 201, which is used to determine the comprehensive scores corresponding to various evaluation indicators of the target correction object in community correction management based on the supervision data generated by the target correction object when executing the preliminary correction plan; wherein the evaluation indicators of the community correction management include: subjective malice indicators, psychological behavior indicators, family status indicators, growth experience indicators, and social relationship indicators; an evaluation prediction module 202, which is used to evaluate and predict the management risk level of the target correction object based on the comprehensive score corresponding to the evaluation indicator for any of the evaluation indicators among all the evaluation indicators, and output the predicted management risk level; a dynamic adjustment module 203, which is used to dynamically adjust the preliminary correction plan based on the predicted management risk level corresponding to each of the evaluation indicators among all the evaluation indicators to generate a new correction plan.

[0166] In a preferred implementation manner of this embodiment, the survey objects of the community correction management include: family evaluators, neighbor evaluators, village committee evaluators and original unit evaluators; the device also includes: an acquisition module, used to obtain the evaluation opinions of family evaluators when the target correction object is implemented with the preliminary correction plan, and generate corresponding family supervision data; obtain the evaluation opinions of neighbor evaluators when the target correction object is implemented with the preliminary correction plan, and generate corresponding neighbor supervision data; obtain the evaluation opinions of village committee evaluators when the target correction object is implemented with the preliminary correction plan, and generate corresponding village committee supervision data; obtain the evaluation opinions of original unit evaluators when the target correction object is implemented with the preliminary correction plan, and generate corresponding original unit supervision data; the determination module is also used to use the family supervision data, neighbor supervision data, village committee supervision data, and original unit supervision data together as the supervision data generated by the target correction object when the preliminary correction plan is implemented.

[0167] In a preferred implementation manner of this embodiment, the determination module includes: a first determination unit, which is used to determine, for any evaluation indicator: based on the family supervision data generated by the target correction object when executing the preliminary correction plan, the first score corresponding to the target correction object under the evaluation indicator; a second determination unit, which is used to determine the second score corresponding to the target correction object under the evaluation indicator based on the neighbor supervision data generated by the target correction object when executing the preliminary correction plan; a third determination unit, which is used to determine the third score corresponding to the target correction object under the evaluation indicator based on the village and neighborhood committee supervision data generated by the target correction object when executing the preliminary correction plan; a fourth determination unit, which is used to determine the fourth score corresponding to the target correction object under the evaluation indicator based on the original unit supervision data generated by the target correction object when executing the preliminary correction plan; a fifth determination unit, which is used to determine the weight of each score under the evaluation indicator; and based on the first score, the second score, the third score, the fourth score, and the weight of each score, a comprehensive score corresponding to the evaluation indicator is generated.

[0168] In a preferred implementation manner of this embodiment, the first determination unit includes: a first generation subunit, which is used to generate a first evaluation interface based on the evaluation request of the family evaluator for the target correction object; wherein the first evaluation interface includes a subjective malignancy index option, a psychological behavior index option, a family status index option, a growth experience index option, and a social relationship index option; a second generation subunit, which is used to generate a second evaluation interface based on the family evaluator's selection of any evaluation index option in the first evaluation interface; wherein the second evaluation interface includes: a number of sub-evaluation indicators and a grade option corresponding to each of the sub-evaluation indicators; a selection subunit, which is used to select a score corresponding to the grade option from the grade score table based on the family evaluator's selection of the grade option corresponding to any of the sub-evaluation indicators in the second evaluation interface, and determine the evaluator score corresponding to the sub-evaluation indicator by the selected score; a third generation subunit, which is used to generate the family evaluator's first score for the evaluation indicator based on the evaluator score corresponding to each of all the sub-evaluation indicators.

[0169] In a preferred implementation manner of this embodiment, the third generating sub-unit includes: a determining unit, used to determine the score coefficient of the family evaluator based on the trust coefficient of the family evaluator; a summing unit, used to sum the evaluator scores corresponding to each of the sub-evaluation indicators in all sub-evaluation indicators to obtain the family score corresponding to the target correction object under the evaluation indicator; an obtaining unit, used to determine the average value of several family scores and then apply the corresponding score coefficient to obtain the first score of the family evaluator for the evaluation indicator.

[0170] In a preferred implementation manner of this embodiment, the first generating subunit includes: an acquisition unit, used to acquire the identity information of the family evaluator based on the family evaluator's evaluation request for the target correction object; an identity authentication unit, used to authenticate the family evaluator based on the identity information of the family evaluator; and a generation unit, used to generate a first evaluation interface based on the evaluation request if the identity authentication is passed.

[0171] In a preferred implementation manner of this embodiment, the preliminary corrective plan is obtained based on the original supervision data of the target correction object; the dynamic adjustment module includes: an acquisition unit, used to obtain the original management risk level corresponding to each of the evaluation indicators in the preliminary corrective plan; a first generation unit, used to determine whether the original management risk level is consistent with the predicted management risk level for any evaluation indicator; if not, obtain the predicted corrective suggestion corresponding to the predicted management risk level; and use the obtained predicted corrective suggestion to replace the original corrective suggestion corresponding to the original management risk level in the preliminary corrective plan; if so, retain the original corrective suggestion corresponding to the original management risk level in the preliminary corrective plan to generate an adjustment result; a second generation unit, used to generate a new corrective plan based on the adjustment result corresponding to each of the evaluation indicators in all evaluation indicators.

[0172] The above device can execute an intelligent recommendation method for community correction management solutions provided by an embodiment of the present invention, and has the corresponding functional modules and beneficial effects of executing an intelligent recommendation method for community correction management solutions. For technical details not fully described in this embodiment, please refer to an intelligent recommendation method for community correction management solutions provided by an embodiment of the present invention.

[0173] The present invention also provides an electronic device, comprising: a processor; a memory for storing executable instructions of the processor; the processor is used to read the executable instructions from the memory and execute the instructions to implement an intelligent recommendation method for a community correction management plan described in the present invention.

[0174] In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the method according to various embodiments of the present application described in the above-mentioned "Exemplary Method" section of this specification.

[0175] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0176] In addition, an embodiment of the present application may also be a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the processor executes the steps of the method according to the following embodiments of the present application described in the above "Exemplary Method" section of this specification.

[0177] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0178] The basic principles of the present application are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present application are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present application. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, not for limitation, and the above details do not limit the present application to being implemented by adopting the above specific details.

[0179] The block diagrams of the devices, apparatuses, equipment, and systems involved in this application are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagram. As will be appreciated by those skilled in the art, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open words, referring to "including but not limited to", and can be used interchangeably with them. The words "or" and "and" used here refer to the words "and / or" and can be used interchangeably with them, unless the context clearly indicates otherwise. The words "such as" used here refer to the phrase "such as but not limited to", and can be used interchangeably with them.

[0180] It should also be noted that in the apparatus, device and method of the present application, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present application.

[0181] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present application. Therefore, the present application is not intended to be limited to the aspects shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

[0182] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

[0183] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0184] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0185] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. An intelligent recommendation method for community correction management scheme, characterized in that: Applicable to a first device; comprising: Based on the supervision data generated by the target correction subject when executing the preliminary correction plan, determine the comprehensive score corresponding to each evaluation indicator of the target correction subject in the community correction management; wherein the evaluation indicators of the community correction management include: subjective malice indicator, psychological behavior indicator, family status indicator, growth experience indicator, and social relationship indicator; For any of the evaluation indicators among all the evaluation indicators: based on the comprehensive score corresponding to the evaluation indicator, the management risk level of the target correction object is evaluated and predicted, and the predicted management risk level is output; Based on the predicted management risk level corresponding to each of the evaluation indicators among all the evaluation indicators, the preliminary correction plan is dynamically adjusted to generate a new correction plan.

2. The method according to claim 1, characterized in that The survey subjects of the community correction management include: family assessors, neighbor assessors, village committee assessors and former unit assessors; and also include: Obtain the evaluation opinions of family assessors when implementing the preliminary correction plan for the target correction object, and generate corresponding family supervision data; obtain the evaluation opinions of neighbor assessors when implementing the preliminary correction plan for the target correction object, and generate corresponding neighbor supervision data; obtain the evaluation opinions of village and neighborhood committee assessors when implementing the preliminary correction plan for the target correction object, and generate corresponding village and neighborhood committee supervision data; obtain the evaluation opinions of original unit assessors when implementing the preliminary correction plan for the target correction object, and generate corresponding original unit supervision data; The family supervision data, neighbor supervision data, village committee supervision data, and original unit supervision data are used together as the supervision data generated by the target correction subject when the preliminary correction plan is implemented.

3. The method according to claim 2, characterized in that The method of determining the comprehensive score corresponding to each evaluation indicator of the target correction subject in community correction management based on the supervision data generated by the target correction subject when executing the preliminary correction plan includes: For any evaluation indicator: based on the family supervision data generated by the target correction object when executing the preliminary correction plan, determine the first score corresponding to the target correction object under the evaluation indicator; based on the neighbor supervision data generated by the target correction object when executing the preliminary correction plan, determine the second score corresponding to the target correction object under the evaluation indicator; based on the village and neighborhood committee supervision data generated by the target correction object when executing the preliminary correction plan, determine the third score corresponding to the target correction object under the evaluation indicator; based on the original unit supervision data generated by the target correction object when executing the preliminary correction plan, determine the fourth score corresponding to the target correction object under the evaluation indicator; determine the weight of each score under the evaluation indicator; based on the first score, the second score, the third score, the fourth score, and the weight of each score, generate a comprehensive score corresponding to the evaluation indicator.

4. The method according to claim 3, characterized in that The step of determining the first score corresponding to each evaluation indicator of the target correction subject based on the family supervision data generated by the target correction subject when the target correction subject executes the preliminary correction plan comprises: Based on the evaluation request of the family evaluator for the target correction object, a first evaluation interface is generated; wherein the first evaluation interface includes a subjective malignancy index option, a psychological behavior index option, a family status index option, a growth experience index option, and a social relationship index option; Based on the selection of any evaluation indicator option in the first evaluation interface by the family evaluator, a second evaluation interface is generated; wherein the second evaluation interface includes: a plurality of sub-evaluation indicators and a grade option corresponding to each of the sub-evaluation indicators; based on the selection of the grade option corresponding to any of the sub-evaluation indicators in the second evaluation interface by the family evaluator, a score corresponding to the grade option is selected from a grade score table, and the selected score is used to determine the evaluator score corresponding to the sub-evaluation indicator; Based on the evaluator score corresponding to each of the sub-evaluation indicators in all the sub-evaluation indicators, a first score of the family evaluator for the evaluation indicator is generated.

5. The method according to claim 4, characterized in that The step of generating a first score of the family evaluator for the evaluation indicator based on the evaluator score corresponding to each of the sub-evaluation indicators in all the sub-evaluation indicators comprises: Determining a score coefficient of the family evaluator based on the trust coefficient of the family evaluator; The evaluator scores corresponding to each of the sub-evaluation indicators in all sub-evaluation indicators are summed up to obtain the family score corresponding to the target correction object under the evaluation indicator; After determining an average value of a plurality of the family members' scores, a corresponding score coefficient is applied to obtain a first score of the family member evaluator for the evaluation indicator.

6. The method according to claim 4, characterized in that The step of generating a first evaluation interface based on the evaluation request of the family evaluator to the target correction object comprises: Based on the evaluation request of the family evaluator for the target correctional subject, obtaining the identity information of the family evaluator; Based on the identity information of the family evaluator, identity verification of the family evaluator is performed; If the identity authentication is passed, a first evaluation interface is generated based on the evaluation request.

7. The method according to claim 1, characterized in that The preliminary correction plan is obtained based on the original supervision data of the target correction object; the preliminary correction plan is dynamically adjusted based on the predicted management risk level corresponding to each evaluation indicator in all evaluation indicators to generate a new correction plan; including: Obtaining the original management risk level corresponding to each of the evaluation indicators in the preliminary correction plan; For any evaluation indicator: determine whether the original management risk level is consistent with the predicted management risk level; if not, obtain the predicted correction suggestion corresponding to the predicted management risk level; and use the obtained predicted correction suggestion to replace the original correction suggestion corresponding to the original management risk level in the preliminary correction plan; if yes, retain the original correction suggestion corresponding to the original management risk level in the preliminary correction plan; generate an adjustment result; Based on the adjustment result corresponding to each of the evaluation indicators in all the evaluation indicators, a new correction plan is generated.

8. An intelligent recommendation device for community correction management schemes, characterized in that: Applicable to a first device; comprising: A determination module, for determining the comprehensive scores corresponding to various evaluation indicators of the target correction subject in community correction management based on the supervision data generated by the target correction subject when executing the preliminary correction plan; wherein the evaluation indicators of community correction management include: subjective malignancy indicators, psychological behavior indicators, family status indicators, growth experience indicators, and social relationship indicators; An evaluation and prediction module is used to evaluate and predict the management risk level of the target correction object based on the comprehensive score corresponding to the evaluation indicator for any of the evaluation indicators among all the evaluation indicators, and output the predicted management risk level; The dynamic adjustment module is used to dynamically adjust the preliminary correction plan based on the predicted management risk level corresponding to each of the evaluation indicators in all the evaluation indicators to generate a new correction plan.

9. An electronic device, comprising: processor; a memory for storing instructions executable by the processor; The processor is used to read the executable instructions from the memory and execute the instructions to implement the method according to any one of claims 1-7.

10. A computer readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method according to any one of claims 1 to 7.

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