Security prompt information acquisition method and device, and medium

By determining the target monitoring task and dynamically calculating the early warning threshold based on the personnel status description text, and generating safety prompt information, the problem of missed and false alarms caused by the uniform early warning threshold in the existing technology is solved, and personalized safety monitoring is realized.

CN121366724APending Publication Date: 2026-01-20MINHANGZONG HOSPITAL
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Patent Information

Application Number
CN202511531239.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-24
Publication Date
2026-01-20

AI Technical Summary

Technical Problem

In existing technologies, the use of a uniform warning threshold in scenarios with dense crowds and changing conditions leads to missed warnings for high-risk individuals and false warnings for low-risk individuals, reducing the accuracy of safety alerts.

Method used

Based on the personnel status description text of the target object, the target monitoring task is determined and a task coding vector is generated. The risk value prediction model is input, the early warning threshold is dynamically calculated, and a safety prompt message is generated based on the monitoring indicator value and the early warning threshold.

Benefits of technology

It has implemented an adaptive monitoring strategy based on individual differences and overall risk status, which has significantly improved the flexibility and accuracy of the early warning mechanism and reduced the false alarm and missed alarm rates.

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Abstract

The invention provides a safety prompt information obtaining method and device and a medium, and relates to the technical field of safety monitoring, and the method comprises the steps: analyzing a personnel state description text of a target object, automatically matching a corresponding target monitoring task, and generating a structured task coding vector; inputting the task coding vector into a risk value prediction model to generate a predicted risk value; combining the predicted risk value, a preset maximum risk value, a preset minimum risk value and a preset early warning threshold interval of the target monitoring task to dynamically calculate an early warning threshold corresponding to the target monitoring task and the target object; generating safety prompt information based on a comparison result of a monitoring index value output by the target monitoring task and an early warning threshold value; the dynamic threshold matching is realized, the monitoring strategy can be adaptively adjusted according to the individual difference and the overall risk state, the missing report rate of high-risk individuals and the false alarm rate of low-risk individuals are reduced, and the accuracy of the generated safety prompt information is improved.
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