Research On Individual Extreme Violent Crime Warning Based On Intelligence Perception

In recent years,with the increasingly rich sources of public security intelligence data,we not only have traditional internal static data such as population,vehicles,and cases,but also have added external dynamic data such as real-time traffic,third-party access,smart wearable devices,and the Internet of Things.At the same time,China is undergoing a comprehensive transformation,which has led to a series of social contradictions,especially the increase in extreme violent crimes caused by the life and economic pressure brought by the epidemic,and the resulting rising demand for behavioral data analysis,which requires the research and analysis of a large number of data streams.This puts forward higher timeliness requirements for the application mode of data analysis in intelligence work and becomes the difficulty of innovation in intelligence work.In order to increase the ability of public security organs to deal with highly uncertain individual extreme violent crimes,this paper has carried out the following aspects of work: First,to consult relevant literature at home and abroad,analyze the basic theory of intelligence perception,and lay a good theoretical foundation for the construction of the model.We deeply analyze and study the characteristics and trends of individual extreme violent crimes,analyze and summarize the public cases,and carry out intelligence characterization of the characteristics of individual extreme violent crimes.At the same time,we reviewed literature and investigated the data application status of front-line intelligence departments,summarized existing earlywarning analysis models,and expounded the feasibility and necessity of empowering individuals with intelligence perception to early-warning extreme violent crimes.Secondly,according to the principles and methods of intelligence perception and the characteristics of individual extreme violent crimes,we propose a data-driven intelligence perception method,build an early warning model of individual extreme violent crimes based on intelligence perception,and establish a targeted and scientific early warning index system.Using case analysis method,literature research method and semi-structured interview method,we set up an early warning index system which includes four first-level indicators,nine second-level indicators and thirty-eight third-level indicators.With reference to China’s social emergency warning classification standard,we divide the warning level of individual extreme violent crime into four levels to provide reference for early warning and response.Finally,we test the case application of the early warning model,transform the actual case into the intelligence case,and use the fuzzy comprehensive evaluation method to conduct early warning analysis and evaluation of the specific case intelligence,determine its risk level,and provide a basis for response decision-making.Third,the case test and application of the early warning model are carried out to transform the intelligence case of the actual case.At the same time,the fuzzy comprehensive evaluation method is used to conduct early warning analysis and evaluation on the intelligence of specific cases,determine its risk level,provide basis for response decisionmaking,and obtain stronger intelligence research and judgment ability and real-time decisionmaking ability.As well as more data points,data sources,monitoring dimensions,control strategies and real-time responses with higher precision,it provides more powerful strategic support for the prevention and response of individual extreme violent crimes.