A Public Safety Risk Assessment and Early Warning Method Integrating Multi-Source Heterogeneous Data

By combining graph attention networks and knowledge graphs, the public safety risk assessment method is optimized, which solves the problem of insufficient processing capabilities for real-time dynamic data and achieves more efficient and interpretable risk assessment.

CN121684662BActive Publication Date: 2026-05-26NANJING ZHENGCHI TECH DEV CO LTD
View PDF 1 Cites 0 Cited by

Patent Information

Application Number
CN202610207775.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-02-12
Publication Date
2026-05-26
Estimated Expiration
2046-02-12

AI Technical Summary

Technical Problem

Existing technologies are insufficient in processing real-time dynamic data in public safety risk assessments, especially video and text data. They also rely on rules defined by expert experience, resulting in low efficiency and interpretability of risk assessments.

Method used

By combining graph attention networks and knowledge graphs, features of multi-source heterogeneous data are extracted and mapped onto knowledge graph nodes. Graph attention networks are used to optimize inference, generating representation vectors that contain the global graph structure context. Probabilistic inference is then performed through vectorized representations of energy functions and logical rules to output risk assessment results.

Benefits of technology

It improves the efficiency and interpretability of public safety risk assessment, reduces reliance on manually defined rules, enables a better understanding of complex risk scenarios, and generates interpretable reasoning paths and risk assessment conclusions.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121684662B_ABST
    Figure CN121684662B_ABST
Patent Text Reader

Abstract

This invention relates to the field of data processing technology, and in particular to a public safety risk assessment and early warning method that integrates multi-source heterogeneous data. The method includes: acquiring multi-source heterogeneous data of a target area; extracting multiple features from the multi-source heterogeneous data; and mapping the multiple features to corresponding nodes in a knowledge graph; optimizing knowledge graph reasoning using a graph attention network to obtain interpretable reasoning paths and risk assessments, including: generating a representation vector containing a global graph structure context for each entity in the knowledge graph based on the graph attention network; vectorizing the prior risk logic rules and constructing an energy function; performing probabilistic reasoning using the representation vector, the vectorized representation of the prior risk logic rules, and the energy function; and outputting the risk assessment results.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Urban rail transit comprehensive monitoring method and system based on multi-source heterogeneous data

    CN121388760A