An early warning method and system based on a personnel relation model and an event association model

Abstract

The invention relates to an early warning method and system based on a personnel relation model and an event association model. The method comprises the steps of extracting model information data frompublic security big data; filtering the model information data; performing statistical analysis on the model information data according to the personnel identity data, and extracting personnel reflecting events for multiple times to create a personnel relation model; extracting semantic elements from the model information data according to the event data, and extracting events reflected by personnel for multiple times to create an event relationship model; Setting a personnel early warning threshold value according to the number of times of one person reflecting events; and setting an event early warning threshold value according to the frequency of reflecting one event by multiple persons, and carrying out early warning on persons and events exceeding the early warning threshold value. According to the invention, data extraction can be carried out for cases, alarm situations, public opinions and contradiction disputes, a personnel relationship model and an event relationship model are generated, a new and operable method is provided for personnel event early warning monitoring, and an idea route is provided for compiling of early warning software.

Description

technical field [0001] The invention relates to a police case analysis method, in particular to an early warning method and system based on a personnel relationship model and an event correlation model. Background technique [0002] With the support of the increasingly rapid development of information technology, the use of information technology to control the case and related personnel has become an important research direction of public security organs. The data information of various behavioral events recorded during the daily activities of key personnel records the dynamic trajectory of personnel and the development direction of events. Therefore, use the dynamic trajectory of personnel to analyze personnel; use the development direction of events to analyze events. It is particularly important to improve the work efficiency of public security intelligence personnel. [0003] The public security system has achieved initial results after years of construction, but it i...

AI Technical Summary

Problems solved by technology

At present, the public security system has accumulated a large number of cases and related data, but most of the use of these data is still in the traditional search and query, and the value of the data is being wasted. In order to avoid the phenomenon of "rich data, poor knowledge", Research on the analysis and mining of public security data should be actively carried out to discover the similarities and development trends of crimes as early as possible, and then explore the laws and characteristics of crimes, and carry out necessary crime prediction and prevention.

[0004] In the existing technology, the pre-solved cases or police information are usually queried in the public security system to obtain the persons related to the case or police information. However, this method cannot correlate the rest of the data in the public security system, and cannot link the police Public opinion, conflicts and disputes and other data are associated, so that the analysis of personnel incidents in the public security system cannot be used more effectively

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