Behavioral data analysis method and device

A technology of data analysis and behavior, applied in data processing applications, electronic digital data processing, digital data information retrieval, etc., can solve problems such as time-consuming, labor-intensive, low efficiency, and high crime volume

Active Publication Date: 2021-04-20
济南宇视智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of these cases are crimes committed on the move, with a high number of cases. It is obviously inefficient and time-consuming to only rely on experienced police officers to solve them one by one.

Method used

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  • Behavioral data analysis method and device
  • Behavioral data analysis method and device
  • Behavioral data analysis method and device

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0031] Please refer to image 3 , image 3 It is a flowchart of a behavior data analysis method provided by a preferred embodiment of the present invention. apply to figure 1 The server 100 mentioned above. The above behavioral data analysis method includes the following steps:

[0032] Step S101, receiving analysis period information input by a user.

[0033] In the embodiment of the present invention, in response to the user operation, the analysis time period information input by the user is received. The above analysis time period information includes a start time and an end time. For example, the analysis period information may be from January 1 to January 30.

[0034] Step S102 , acquiring a plurality of behavior data from the behavior database 200 , each of the behavior data includes a behavior person tag, a behavior location tag, and a corresponding time tag in the analysis time period information.

[0035] In the embodiment of the present invention, a request is ...

Embodiment approach

[0037] The above geographic information point of interest (Point of Interest, POI) may be a house, a store, a mailbox, a bus stop, and the like. The aforementioned pre-selected POIs may include pre-selected multiple POIs with high incidence of cases and multiple POIs for selling stolen goods. High-incidence POIs can be obtained based on historical case data. For example, POIs with high incidence of cases may include train stations, bus stops, shopping malls, and the like. The POI of stolen goods can be set as a second-hand sales market, or it can be determined according to the sales of stolen goods in historical cases. For example, POIs for selling stolen goods may include second-hand markets, machine repair shops, second-hand trading markets, and the like. Users can also directly input location information to set up a pre-selected POI, and set the type of the set POI, that is, it can be set as a high-incidence POI or a POI for selling stolen goods. It should be noted that ...

no. 2 example

[0053] In order to improve the accuracy of the calculated suspicion index, on the basis of the first embodiment, as Figure 4 As shown, the behavioral data analysis method may also include the following steps:

[0054] Step S201 , acquiring the profile information of the target actor from the population information server 300 .

[0055] The above file information may include resident information and background information. Optionally, the resident information may be a resident address, for example, a residence address, a work address, and the like. As an implementation, the types of background information can be divided into those with property infringement crimes, temporary residents, extortionists, ordinary residents, and other bad criminal records. A second weight is preset for each type of background information. It can be set according to the threat level of its background information to the society. For example, the second weight corresponding to the property crime re...

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PUM

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Abstract

Embodiments of the present invention provide a behavior data analysis method and device. Wherein, the method includes obtaining a plurality of behavior data corresponding to the analysis time period information input by the user, and then screening out a plurality of corresponding first data from the plurality of behavior data, and then selecting a plurality of corresponding first data from the plurality of first data The number of occurrences of the target actor in each of the pre-selected POIs is extracted from . Based on the pre-selected POI, the corresponding preset first weight, and the number of occurrences of the target actor in the corresponding pre-selected POI, obtain the suspicion index corresponding to the target actor in the analysis period information . This solution automatically generates the suspicion index corresponding to the actor who has appeared in the pre-selected POI within the analysis period information, so as to help quickly determine the suspect actor, thereby helping to improve the efficiency of case detection and effectively saving police resources.

Description

technical field [0001] The present invention relates to the technical field of public security, in particular to a behavior data analysis method and device. Background technique [0002] In recent years, the high incidence of property infringement cases has become the main factor affecting the public's sense of security and satisfaction. Most of these cases are crimes committed on the move, with a high number of cases. It is obviously inefficient and time-consuming to only rely on experienced police officers to solve them one by one. [0003] At present, it is urgent to develop a method to automatically analyze and select suspects to assist the public security police in the detection of property infringement cases. Contents of the invention [0004] The object of the present invention is to provide a behavior data analysis method and device to improve the above problems. [0005] In order to achieve the above object, the technical solution adopted in the embodiment of th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9537G06Q50/26
CPCG06Q50/265G06F16/9537
Inventor 刘财响吴朝晖刘富黄新洲单远达
Owner 济南宇视智能科技有限公司
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