Prison judicial justice risk prevention and control method based on big data and artificial intelligence technology

Abstract

The invention relates to the technical field of prison prevention and control management, and discloses a prison judicial justice risk prevention and control method based on big data and artificial intelligence technology, and the method comprises an intelligent ranking method and a penalty penalty sorting method, and is comprehensively realized through the following systems: the intelligent ranking method and the penalty penalty sorting method. Comprising a data middle platform, a data collection system, a data processing system, a monitoring system and an alarm system, the data middle platform comprises supervision data, the supervision data comprises learning data, assessment data and labor data, criminals serving sentences are analyzed in a dynamic calculation mode, personal characteristics of the criminals serving sentences are extracted, and the personal characteristics of the criminals serving sentences are analyzed. The time-space behavior data of the criminal prisoners are recorded, and the personal information of the criminal prisoners is counted and summarized through a data collection system. According to the invention, the case handling personnel are reminded to carry out case handling assistance such as case document, data, amplitude and the like by an intelligent search method, so that the case handling personnel can efficiently and accurately collect the information of the case to be handled, and the effect of improving the case handling efficiency is achieved.

Description

technical field [0001] The invention relates to the technical field of prison prevention and control management, in particular to a prison judicial justice risk prevention and control method based on big data and artificial intelligence technology. Background technique [0002] The existing platform automatically calculates the interval, and conducts intelligent ranking of commutation and parole personnel according to the original sentence of the criminal, charges, strictness, leniency, property performance, etc., lacks automatic screening and forms a roster to remind The police in the prison area are convenient for the current batch of commutation and parole personnel to report and remind. [0003] At present, most prisons adopt work-room roll call and regional access control system management for prisoners, and rely on a large number of early warning personnel to monitor the prisoners. These traditional management methods, such as: counting the number of people, reporting,...

AI Technical Summary

Problems solved by technology

[0003] At present, most prisons adopt work-room roll call and regional access control system management for prisoners, and rely on a large number of early warning personnel to monitor the prisoners. These traditional management methods, such as: counting the number of people, reporting, statistics, etc. Manual completion has caused problems such as heavy investment by supervisors, lack of timeliness in management, long management process, and impact on supervision efficiency. At the same time, it also consumes a lot of energy from prison administrators, and lacks the business model for generating commutation and parole cases through previous commutation rulings. , to remind the case handlers to assist case handling such as case documents, data, range, etc.

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