The invention relates to a
public security big data early warning method. The method comprises steps of obtaining a training
data set of any
public security area, extracting characteristic values, preprocessing the characteristic values, inputting the preprocessed characteristic values into the
algorithm model until the characteristic values are stable, obtaining interface data of the current
public security area in real time, carrying out the same operation of extracting the characteristic values and preprocessing, inputting the stable
algorithm model, automatically judging output scores, andselecting to give an alarm or returning to continue monitoring. According to the method, services are guided through core data, a
data architecture after accurate checking is solidified through a model, and the regional public security condition is analyzed more scientifically, effectively and accurately; high-risk key personnel are mainly considered; high-risk key personnel can hide key places,areas and parts easily; according to the method, scientific calculation and scoring are carried out, automatic display of regional public security conditions, automatic early warning of complex publicsecurity regions and automatic generation of regional renovation schemes are realized, effective measures can be taken according to analysis results of an
algorithm model, key prevention and controlare carried out on high-risk key personnel, and the regional public security conditions are practically and effectively improved.