Firefighter air respirator allowance prediction method and system based on dynamic pressure compensation
By establishing an individualized theoretical pressure consumption rate function and applying a dynamic pressure compensation coefficient, the problem of margin prediction deviation in existing air respirators has been solved, achieving accurate air volume monitoring and long-term reliability in high-temperature and high-intensity working environments.
Patent Information
- Application Number
- CN202610292119.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-11
- Publication Date
- 2026-06-09
AI Technical Summary
Existing air respirator reserve prediction systems fail to effectively consider individual firefighter physiological characteristics and the intensity of fire scene operations, resulting in biased prediction results. Furthermore, they lack data feedback and long-term optimization mechanisms, making it impossible to maintain accuracy and reliability in long-term applications.
By acquiring basic information and historical consumption time data of firefighters, an individualized theoretical pressure consumption rate function is established. This function is then combined with a dynamic pressure compensation coefficient for real-time correction. Finally, a multinomial regression fitting algorithm is used to update the prediction model, enabling adaptive error correction based on individual physiological characteristics of firefighters and the fire scene environment.
It improves the accuracy and precision of air respirator reserve prediction, ensures dynamic monitoring of air volume in high-temperature and high-intensity working environments, and achieves long-term iterative updates through a data feedback mechanism, thereby improving the reliability of the system.