Drug-forbidden intelligence research and judgment system based on big data

A big data and intelligence technology, applied in data processing applications, structured data retrieval, electronic digital data processing, etc., can solve the problems of difficult strikes, inefficient case handling methods, and difficult management and control.

Active Publication Date: 2020-01-10
四川科瑞软件有限责任公司
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is that the existing anti-drug research and judgment work mainly relies on traditional and inefficient case handling methods such as reporting, relying on manual experience, passive management, and after-the-fact attack. , cannot make good use of big data for analysis, and cannot conduct in-depth research and judgment

Method used

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  • Drug-forbidden intelligence research and judgment system based on big data

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0077] Such as figure 1 As shown, the present invention is a big data-based anti-drug intelligence research and judgment system. A big data-based anti-drug intelligence research and judgment system includes an intelligence data entry subsystem, a drug-related intelligence data analysis subsystem, a drug-related control subsystem, and a control internal subsystem. Early warning subsystem for drug addicts and drug situation display subsystem;

[0078] The intelligence data input subsystem imports various types of characteristic intelligence data according to the unified specification, assists the police to integrate intelligence data from different sources, and serves as the input data of the drug-related intelligence data analysis subsystem;

[0079] The drug-related intelligence data analysis subsystem includes an intelligence application and an actual combat strike, the intelligence application includes a drug-related intelligence special library, and a drug-related group ana...

Embodiment 2

[0120] Such as figure 1 As shown, the difference between this embodiment and Embodiment 1 is that the drug-related management and control subsystem also includes a drug-driving analysis module. Use the information about the drug driving of the vehicle of the close person to list the possible drivers of the suspicious vehicle one by one for easy investigation; the drug driving analysis module includes vehicle analysis and bayonet analysis.

[0121] Among them, vehicle analysis, the vehicle list of drug-related and hidden drug driving is carried out in two modes: research and judgment mode (requires T+1 bayonet data access support) and action mode (requires real-time bayonet data access support) Display, and perform the necessary analysis and screening of suspected vehicles at checkpoints according to the following conditions, timely and accurately find out the objects that need to be focused on, and issue the objects for punishment:

[0122] 1) The effective time of the bayone...

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Abstract

The invention discloses a drug-forbidden intelligence research and judgment system based on big data. The drug-forbidden intelligence research and judgment system comprises an intelligence data entrysubsystem, a drug-related intelligence data analysis subsystem, a drug-related management and control subsystem, a management and control internal drug abstinence personnel early warning subsystem anda drug condition display subsystem. The intelligence data entry subsystem imports various characteristic intelligence data according to a use unified specification. The drug-related intelligence dataanalysis subsystem performs intelligence application and actual combat strike analysis according to the imported data. The drug-related management and control subsystem is used for analyzing the hidden drug-related objects, the hotel, the internet bar, the public place, the temporary residence place and the call base station position where the drug-related objects frequently move, and driving vehicles pass through the checkpoint information, and determining key cleaning and prevention and control deployment; and the management and control internal drug addiction treatment personnel early warning subsystem is used for establishing a multi-dimensional monitoring early warning module by utilizing the collected multi-dimensional data of the drug addiction treatment personnel and combining theestablished drug-related management and control subsystem to form management, early warning, rehabilitation and psychological intervention on personnel in the tube.

Description

technical field [0001] The invention relates to the field of anti-drug technology, in particular to a big data-based anti-drug intelligence research and judgment system. Background technique [0002] At present, the global drug problem continues to spread, and the situation of drug control in my country is also very severe. Drugs are a public hazard of human society and an important issue involving public safety. They not only seriously infringe on people's health, erode people's will, and destroy family happiness, but also seriously consume social wealth, poison social atmosphere, and pollute the social environment. A series of criminal activities. The anti-drug campaign has been carried out in depth, and the drug problem has been dealt with comprehensively, which has effectively curbed the rapid spread of the drug problem and made important contributions to ensuring that the people live and work in peace and contentment. [0003] As the characteristics of drug-related cr...

Claims

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Application Information

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IPC IPC(8): G06F16/29G06F16/9538G06F16/9537G06Q50/26
CPCG06F16/29G06F16/9538G06F16/9537G06Q50/26
Inventor 张亮胡峻洁黄卫东严义兵樊云唐鑫
Owner 四川科瑞软件有限责任公司
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