Hidden drug addict analysis method

Abstract

The invention discloses a hidden drug addict analysis method, which comprises the following steps of S1, obtaining data information of drug addicts, and establishing a virtual identity thematic library of the drug addicts in an area; S2, extracting call connection related characteristics, fund transaction related characteristics, travel record related characteristics, accommodation record relatedcharacteristics and internet bar access related characteristic data of the poisoned person; respectively constructing a call connection model A, a fund transaction model B, a travel record model C, anaccommodation record model D and an internet bar access model E so as to construct an analysis and early warning model Y based on implicit drug addicts, and carrying out normalization processing; wherein Y = a + b + c < C > + d < D > + e < E >, a, b, c, d and e represent correction coefficients of corresponding models, and the models are represented by cumulative integrals; and S3, according to the model Y, calculating and analyzing the accumulated integral of the data object in the virtual identity special topic library, and carrying out early warning on the hidden drug addicts.

Description

Technical field [0001] The invention relates to the technical field of drug prohibition, in particular to an analysis method for hidden drug users. Background technique [0002] At present, the global drug problem continues to spread, and the drug control situation in my country is also very severe. Drugs are a public hazard to human society and an important issue related to public safety. They not only seriously infringe on people’s health, destroy people’s will, and destroy family happiness, but also consume social wealth, poison social atmosphere, pollute social environment, and are easily induced A series of criminal activities. The in-depth anti-drug struggle and comprehensive treatment of the drug problem have effectively curbed the rapid spread of the drug problem and made important contributions to ensuring that the people live and work in peace. [0003] As the structure of drug-related illegal criminal gangs has become increasingly rigorous, concealed, and has a wide ra...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is that the analysis and prediction of hidden drug addicts in the prior art is mainly done manually, which is time-consuming, laborious, and inefficient. Method, using big data thinking combined with various experience analysis of anti-drug intelligence business, realizes the mode of big data + combat experience, transforms experience into model calculation, comprehensively improves combat efficiency, and integrates characteristics related to drug-related personnel at different levels The...

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