Fire rescue real-time positioning system based on intelligent helmet sensing technology

By integrating intelligent sensing technology on fire helmets, real-time monitoring and risk assessment of rescue personnel locations and fire environments is solved, and the problem of inability to track rescue personnel and assess fire risks in the existing technology is solved, improving the efficiency and safety of fire rescue.

CN119699707APending Publication Date: 2025-03-28NANJING ZHENGZE TECH
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Patent Information

Application Number
CN202411869998.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-18
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

Existing fire helmets cannot achieve real-time dynamic tracking of rescue personnel and accurate judgment of actual fire risk situations, making it difficult for rescue personnel to be efficiently protected.

Method used

The fire rescue real-time positioning system based on intelligent helmet perception technology is adopted. By setting up positioning tracking modules, fire environment collection modules and rescue evaluation modules on the helmet, the location of rescue personnel is tracked in real time, the fire environment data is collected, and comprehensive analysis is carried out to generate environmental risk coefficients and multi-level alarm signals.

Benefits of technology

Real-time tracking and monitoring of rescue personnel's locations is realized, accurately assessing fire scene risks, providing multi-level alarm signals, helping the fire command center make faster and more accurate decisions, and improving rescue efficiency and safety.

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Abstract

The invention discloses a fire rescue real-time positioning system based on an intelligent helmet sensing technology, which belongs to the technical field of fire control positioning and comprises a positioning tracking module, a fire scene environment acquisition module, a rescue evaluation module and an execution receiving terminal which are in communication connection with a fire control comprehensive center and arranged on a helmet worn by a rescue worker. The fire-fighting comprehensive center marks a fire site as a target area and sends the target area to the positioning tracking module; motion data of rescue workers in a real-time target area is acquired through the positioning tracking module, a rescue worker dynamic tracking trajectory is generated, environment data of the real-time target area is acquired in combination with the fire scene environment acquisition module, and an environment risk coefficient is generated. According to the comprehensive analysis of the dynamic tracking trajectory of the rescuers and the environmental risk coefficient, the fire risk of the target area is evaluated and predicted, the rescue risk of the rescuers is judged, multi-stage alarm signals are generated, the rescue strategy is flexibly adjusted, the rescue safety is guaranteed, and the rescue efficiency is improved.
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