Big data method and device for intelligent prediction of criminal events

A technology of intelligent forecasting and big data, which is applied in forecasting, data processing applications, neural learning methods, etc., to fill the gaps in research applications, enrich research connotations, and improve accuracy

Active Publication Date: 2018-11-23
HUBEI UNIV OF ECONOMICS
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a big data method and device for intelligent prediction of criminal events, so as to solve the problem of accurately predicting criminal events in the context of domestic block layout and complex structure

Method used

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  • Big data method and device for intelligent prediction of criminal events
  • Big data method and device for intelligent prediction of criminal events

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Embodiment 1

[0024] Embodiment 1 of the present invention provides a schematic flowchart of a big data method for intelligent prediction of criminal events. Specific as figure 1 As shown, the method may include:

[0025] Step 110 , predicting the "shock source" crime events and their number according to the historical crime events in the preset historical time period in the preset area.

[0026] In order to better adapt to the layout of domestic urban blocks, complex structures, etc., the preset area can be divided into at least one sub-area. For example, Wuhan can be divided into sub-regions such as Wuchang, Hankou, and Hanyang. Then, in the subsequent execution process, the coverage density of crime events in these sub-regions is determined respectively. Compared with simply looking at the coverage density of crimes in Wuhan, after dividing into sub-regions, determining the coverage density of crimes in each sub-region will make the prediction of crimes more accurate. In order to ada...

Embodiment 2

[0051] Corresponding to Embodiment 1, the embodiment of the present invention also provides a big data device for intelligent prediction of criminal events, specifically as image 3 As shown, the device includes: a prediction unit 201 and a processing unit 202 .

[0052] The predicting unit 201 is used to predict the "shock source" crime events and their number according to the historical crime events in the preset historical time period of the preset area, using the deep learning method;

[0053] The processing unit 202 is configured to substitute the position parameters of the first sub-area and the number of "seismic source" crime events into the pre-established normal distribution function to obtain the density contribution of the "seismic source" crime events in the first sub-area;

[0054] And, after bringing the total number of historical crime events into the pre-established normal distribution function, obtain the density contribution of "aftershock" crime events in t...

Embodiment 3

[0074] In addition, an embodiment of the present invention also provides a computer-readable storage medium, on which computer program instructions are stored, and when the program instructions are executed by a processor, the method steps of the above-mentioned embodiment 1 are implemented.

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Abstract

The invention discloses a big data method and device for intelligent prediction of criminal events. The method comprises steps: according to historical criminal events in a preset historical time period of a preset area, a deep learning algorithm is used to predict source criminal events and the number; the position parameters of a first subarea and the number of source criminal events are substituted into a pre-established normal distribution function, and the density contribution of the source criminal events in the first subarea is acquired; the total number of historical criminal events issubstituted into the pre-established normal distribution function, the density contribution of aftershock criminal events in the first subarea is acquired; and according to the density contribution of the source criminal events in the first subarea and the density contribution of aftershock criminal events in the first subarea, the criminal event coverage density of the first subarea is determined. Through the above mode, the method and the device can be applied to conditions of multiple centers and complex social community layout in domestic cities and can predict the criminal events in different domestic areas more accurately.

Description

technical field [0001] The invention relates to the technical field of combining big data processing and artificial intelligence, in particular to a big data method and device for intelligent prediction of criminal events. Background technique [0002] As the pressure of life continues to increase, more and more crimes occur, and the crime rate continues to increase. Then, how to predict areas with high crime incidents before crimes occur has become a hot topic. The traditional prediction method is mainly to calculate the crime density according to the following formula. [0003] [0004] Among them, the g function represents the density contribution of the "aftershock" crime event. Although, the algorithm model has played a very good role in predicting crime in American cities. However, it does not apply to domestic crime prediction. The reason is that the layout and structure of domestic urban blocks are relatively complex. If only the density contribution of "after...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/26G06N3/08
CPCG06N3/08G06Q10/04G06Q50/26
Inventor 张耀峰林耀三张志刚姜涛蔡黎杨飞洋张璇段红叶
Owner HUBEI UNIV OF ECONOMICS
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