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A time sequence diagram-based public security knowledge graph generation method for generic perception data

A technology for perceiving data and knowledge graphs, which is applied in the field of generation of public security knowledge graphs based on time series graphs, and can solve problems such as unfavorable graph algorithms, low efficiency, and inability to provide good support for real-time query of relationships

Pending Publication Date: 2022-02-11
南京启数智能系统有限公司
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AI Technical Summary

Problems solved by technology

Relational databases have good performance in solving single data queries, but are very inefficient in deep association queries; they cannot provide good support for real-time query of relationships, and at the same time, they are quite unfavorable when developing and running some graph algorithms

Method used

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  • A time sequence diagram-based public security knowledge graph generation method for generic perception data
  • A time sequence diagram-based public security knowledge graph generation method for generic perception data
  • A time sequence diagram-based public security knowledge graph generation method for generic perception data

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Embodiment Construction

[0042] In order to better illustrate the present invention, further description will now be made in conjunction with the embodiments and accompanying drawings.

[0043] Such as figure 1 As shown in the figure, the method of generating public security knowledge graph based on sequence graph for pan-sensing data, the steps are as follows:

[0044] S01: Raw collected data preprocessing: Extract features and calculate various attribute information from the raw data information collected by the pan-sensing data link;

[0045] Specifically, for pedestrian image data preprocessing: for pedestrian image data, extract facial feature information, and calculate attribute information such as clothes and pants style, color, age, gender, whether to wear glasses, hair style, etc.;

[0046] Specifically, for vehicle image data preprocessing: for vehicle image data, extract feature information and license plate number, and calculate attribute information such as vehicle trademark, color, type...

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Abstract

The invention discloses a time sequence diagram-based public security knowledge graph generation method for generic perception data. Comprising the following steps: preprocessing original collected data: extracting features and calculating various attribute information for original data information collected by a generic perception data link; entity linking: acquiring information of the processed generic perception data link, retrieving on the constructed atlas, and judging whether the entity which the generic perception data link belongs to exists or not; performing knowledge reasoning to generate a time sequence diagram; performing knowledge processing and conflict solving; and updating knowledge reasoning and generating a time sequence diagram according to the knowledge graph. According to the invention, the time dimension is introduced into the atlas, and good access performance aiming at specific time points, vertexes, edges and attached data is provided, so that real-time prevention and control are more effectively realized.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method for generating public security knowledge graphs based on sequence graphs for pan-sensing data. Background technique [0002] With the increasingly complex situation of public security prevention and control, and the rapid development of pan-sensing data acquisition technology and artificial intelligence technology in the field of public security, there is an urgent need to efficiently integrate and coordinate the operation of various public security functional modules to more effectively prevent and control in real time Even advance warning and forecasting to ensure the stable operation of society. [0003] At present, the existing technology is to use a relational database to store data, and use table association to query. Relational databases perform well in solving single data queries, but are inefficient in deep relational queries; they cannot provide good support...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F16/9537
CPCG06F16/367G06F16/9537
Inventor 孙靖宇高希赵伟伟焦广宇
Owner 南京启数智能系统有限公司
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