Intelligent analysis early warning method for dangerousness tendency of prison persons serving sentences

Abstract

The invention relates to a big data processing technology in intelligent information processing of a computer and particularly relates to an intelligent analysis early warning method for a dangerousness tendency of prison persons serving sentences. The intelligent analysis early warning method comprises the following steps: carrying out efficient collection and extraction on information of persons serving sentences in a prison information system to obtain basic data of behavior characteristics of the persons serving sentences; carrying out analysis judgment and early warning on the dangerousness tendency of the persons serving sentences by adopting a cost sensitive multi-stage semi-monitoring analyzing method. The intelligent analysis early warning method has the beneficial effects that 1, a lot of monitoring data of the persons serving sentences, which are provided by an existing system, are sufficiently utilized to automatically find potential behavior characteristics and behavior models of the abnormal persons serving sentences; the construction cost of the system is smaller and the feasibility is strong; 2 the method considers a cost problem of incorrect judgment of an early warning system and the influences caused by the early warning incorrect judgment are reduced to the greatest extent so as to meet actual requirements; 3 the method provided by the invention has a stronger self-adaptive ability; the early warning accuracy of the established early warning system is higher and the influences caused by the incorrect judgment are small.

Description

technical field [0001] The invention relates to a large data processing technology in computer intelligent information processing, in particular to an intelligent analysis and early warning method for the dangerous tendency of prison inmates. Background technique [0002] With the development of prison informatization, a large number of criminal management business systems have been built, including criminal prison administration system, criminal law enforcement system, life and sanitation system, family telephone system, meeting management system, and psychological counseling system; including video surveillance system, access control system, etc. System, alarm system, digital power grid, external vehicle personnel entry and exit management system, emergency command auxiliary decision-making system and a large number of security systems. The construction of these systems provides a large amount of effective basic data for the collection, analysis, and judgment of prison con...

AI Technical Summary

Problems solved by technology

[0004] The shortcomings of the existing methods are as follows: First, the existing methods do not consider the different costs of misjudgment of different behaviors when classifying prisoners. ; If a prisoner with extreme behavior tendencies is misjudged without timely warning, the consequences will be very serious

Secondly, the existing methods for classifying prisoners do not subdivide the different types of extreme behavior tendencies that the person may have. Analysis of this can take more targeted measures to prevent the occurrence of extreme behaviors

Thirdly, the existing methods for the classification of inmates rely heavily on artificially designed indicators, the degree of intelligence of the method is not high, and the large amount of data generated by the existing system is not fully utilized to find abnormal behavior characteristics of inmates

Moreover, among the inmates, there are very few extreme behaviors, so the data of such extreme behaviors is very small, and it is extremely difficult to obtain. It is difficult to construct an accurate classification and early warning with the extremely small amount of extreme behavior data in existing methods Model

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