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Intelligent police force disposition method and system based on space-time analysis of big data

A spatiotemporal analysis and data analysis technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve the problems of passive police dispatch and forecasting of police situations, and achieve the effect of improving the efficiency of dispatching police.

Inactive Publication Date: 2018-07-10
武汉众智数字技术有限公司
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an intelligent police force deployment method and system based on the spatio-temporal analysis of police big data, which aims to solve the problem that the existing police dispatching methods cannot predict the future police dispatching and cause the public security department to dispatch police passively

Method used

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Embodiment 2

[0050] Such as figure 2 As shown, the embodiment of the present invention also provides an intelligent police force deployment system based on the spatio-temporal analysis of police big data, including a prediction unit and a police force deployment unit. Prediction module for periods of high outbreaks, duty information acquisition module, and notification delivery module.

[0051] The alarm data module is used to define factors that affect the occurrence of alarms. Specifically, the weather of the day and whether it is a holiday are regularly obtained from the Internet every day, and whether there are major activities and the number of police cases on the day are found out from the database, and stored in the data table. The table structure is defined as: (date,israinorsnow,isholiday,issummnerorwinter ,isactivity,jqcoumt), according to the big data machine learning decision tree algorithm, obtain the association rules between the factors: define the N influencing factors, c...

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Abstract

The invention provides an intelligent police force disposition method and system based on space-time analysis of alarm big data. The method comprises the following steps that factors influencing alarmoccurrence are defined; a high-incidence alarm area under the factor that influences alarm occurrence tomorrow or in future is predicted on the basis of analysis of historical alarm data; a high-incidence alarm period under the factor that influences alarm occurrence tomorrow or in future is predicted on the basis of analysis of historical alarm data; on-duty information of patrol police is obtained; and the high-incidence alarm area and area obtained by analysis and prediction are pushed to the on-duty patrol police in the corresponding area. The alarm in future is predicted scientifically in different areas and periods by combining the alarm big data with different objective factors and analyzing the alarm amount in historical periods under the given factor, the response efficiency of the police is improved, and regional stability and safety can be maintained.

Description

technical field [0001] The invention relates to the fields of public security police situation prediction and big data machine learning, and in particular to an intelligent police force deployment method and system based on the spatio-temporal analysis of police situation big data. Background technique [0002] First of all, in the existing technology, there is no comprehensive and systematic police situation prediction mechanism. The existing ones only process and analyze the police situation that has occurred, but there is no corresponding method for prediction, which makes the public security department passive. alarm mode. [0003] Secondly, with the advent of the era of artificial intelligence, the application of big data in various fields is becoming more and more extensive. How to effectively combine various objective factors effectively and reasonably, actively explore an accurate and practical police situation prediction mechanism, and Through this mechanism, the i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06F17/30G06Q50/26
CPCG06Q10/04G06Q10/0631G06Q50/265G06F16/2282G06F16/2462
Inventor 陈晓琴杨波贺珊李小龙
Owner 武汉众智数字技术有限公司
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