Target personnel dynamic risk early warning method based on trajectory prediction and related equipment

Abstract

The invention provides a target person dynamic risk early warning method based on trajectory prediction and related equipment. The method comprises the following steps: acquiring data information of a target person; dividing the data information into basic information and historical time sequence feature information; constructing a target personnel knowledge graph according to the basic information, and determining a target personnel characteristic value list based on the target personnel knowledge graph; inputting the historical time sequence feature information into a pre-constructed time sequence prediction model, and outputting predicted time sequence feature information through the time sequence prediction model; combining the target person characteristic value list and the prediction time sequence characteristic information to obtain a future time period characteristic value list; and obtaining a risk score of the target person through a pre-constructed risk research and judgment model based on the future time period feature value list. According to the method, the timeliness, the accuracy and the interpretability of the prediction and early warning result are considered, and the hysteresis problem of a traditional early warning technical scheme is solved.

Description

technical field [0001] The present application relates to the field of machine learning technology, in particular to a trajectory prediction-based dynamic risk warning method for target personnel and related equipment. Background technique [0002] With the rapid development of urban intelligence and the rapid growth of urban population, passive urban security solutions have become a thing of the past, and risk personnel trajectory tracking, as an important part of urban security, is facing new challenges. [0003] At present, in terms of the management and control of target personnel, the massive information data of risk analysis personnel mainly rely on fixed techniques and tactics or manual analysis, making it difficult to predict potential risks, resulting in risky behaviors that have occurred before early warning, and early warning has a certain lag , cannot prevent problems before they happen. [0004] Therefore, there is an urgent need for a predictive and early warn...

AI Technical Summary

Problems solved by technology

[0003] At present, in terms of the management and control of target personnel, the mass information data of risk analysis personnel mainly rely on fixed techniques and tactics or ma...

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