Park security situation awareness and risk early warning system based on spatiotemporal data fusion

By using a multi-level context-aware decision-making model, combined with schedule information and permission anchors, the system identifies and exempts legitimate planned or organized activities, thus solving the false alarm problem of existing security systems and improving the accuracy and intelligence of security early warning.

CN121073196BActive Publication Date: 2026-03-13SHANGHAI TIANYUE TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-08-19
Publication Date
2026-03-13

AI Technical Summary

Technical Problem

Existing security systems in large, enclosed or semi-enclosed spaces are unable to effectively distinguish between behavioral deviations caused by legitimate planned or organized activities, resulting in a large number of false alarms, and lack the ability to understand organized exceptions.

Method used

The system introduces a personal historical spatiotemporal baseline module, a schedule fusion and dynamic baseline correction module, a group behavior collaborative exemption module, and a risk judgment and early warning module. Through a multi-level context-aware decision-making model, combined with schedule information and permission anchor information, it identifies and exempts legitimate exceptional activities.

Benefits of technology

Effectively reduce false alarm rates, improve the accuracy and intelligence of security early warning systems, and ensure that sensitivity to real and unknown risks is not reduced.

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Abstract

This invention discloses a campus security situational awareness and risk early warning system based on spatiotemporal data fusion. It relates to the field of security technology and includes: an individual historical spatiotemporal baseline module for generating an initial risk score based on an entity's historical behavioral baseline; a schedule fusion and dynamic baseline correction module for obtaining schedule information from the enterprise schedule management system and generating spatiotemporal exemption tags; a group behavior collaborative exemption module for determining the existence of authorized permission anchors based on a permission anchor policy library; and a risk judgment and early warning module. The risk judgment and early warning module, by calling the schedule fusion module and the group behavior collaborative exemption module, executes a multi-level situational awareness correction process to correct the initial risk score to generate a final risk score, and executes early warning operations accordingly. This invention can effectively identify and exempt behavioral deviations caused by legitimate, organized exceptional activities, thereby helping to reduce the false alarm rate.
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Citation Information

Patent Citations

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