Four-dimension model intelligent contrast system and method for public security system

Abstract

The invention relates to a four-dimension model intelligent contrast system and method for a public security system. The system comprises a semantic analysis module connected with a peripheral report-receiving information database through a data interface, a semantic classification lexicon and a case model database which are respectively connected with the semantic analysis module, a model contrast model and a case serial-to-parallel module which are respectively connected with the case model database, a result analysis module simultaneously connected with the model contrast module and the case serial-to-parallel module, a criminal characteristic database connected with the model contrast model, a lexicon update module connected with the semantic classification lexicon, and a criminal characteristic database updating module connected with the criminal characteristic database. The system is based on the thought of big data, and can perform four-dimension contrast by combining the case basic information, the field inquisition, and the case information data mastered in the early investigation process, the personnel with criminal record meeting the characteristic can be analyzed, the investigation vision is reduced, thereby providing support for case detection.

Description

technical field [0001] The invention relates to a four-dimensional model intelligent comparison system and method for a public security system. Background technique [0002] When the public security system detects a case, it usually compares the new case with the previous case to find out the criminals who meet the relevant characteristics of the case, thereby narrowing the scope of investigation and improving the efficiency of solving the case. In the existing technology, the public security system usually uses the traditional manual method to achieve case comparison, that is, after receiving a case, the investigators will find similar cases based on their own experience in handling cases and their past memories of criminals in their jurisdiction. case. Therefore, this kind of comparison often depends on the work experience and ability of the case handlers, and often has some subjective awareness in it. Moreover, compared with computers, case handlers cannot remember all t...

AI Technical Summary

Problems solved by technology

However, these existing systems have various disadvantages. For example, some systems are not open source and need to be used online, which is not suitable for industries such as the public security system that require high confidentiality; the analysis accuracy of some systems is not high. High, due to the wide variety of ambiguity or polysemy in natural language at all levels, in addition to the original meaning of the word, it is likely to contain some other hidden semantics, and even analyze the irrelevant Therefore, it is not suitable for the public security system; there are also some systems that cannot recognize some uncommon words or new online words, and cannot optimize the lexicon through manual addition. The maintainability and scalability of the system is poor. users have caused a lot of inconvenience

[0005] At the same time, the above situation has also caused the uncertainty of the merger of cases. This is because the existing merger of cases is mostly limited to criminal cases, and the features of the cases on which the merger depends are mostly obtained through manual comparison and analysis. Therefore, there are Uncertainty, which leads to inaccurate string and parallel results, and is easy to waste a lot of public security manpower and material resources

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