Head-mounted respiratory protection system pollution monitoring and air supply control method and storage medium

By combining multispectral sensors and particle swarm optimization algorithms, the airflow of the head-mounted respiratory protection system is dynamically allocated, solving the problem of air pollutant monitoring and control in traditional monitoring blind spots. This enables real-time monitoring and precise control of pollutants, protecting workers' health.

CN121102791APending Publication Date: 2025-12-12北京市职业病防治院
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Patent Information

Application Number
CN202511298180.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-11
Publication Date
2025-12-12

AI Technical Summary

Technical Problem

Traditional head-mounted respiratory protection systems cannot monitor the spatial concentration gradient and particle size distribution of air pollutants in real time, resulting in monitoring blind spots in areas where equipment is obstructed or where airflow vortices are present. This makes it impossible to effectively prevent or predict the migration path of pollutants, and workers are easily exposed to sudden pollutants.

Method used

Multispectral sensors are used to collect pollutant time-series data in real time. The main frequency characteristics of pollutants are extracted by fast Fourier transform. Combined with particle swarm optimization algorithm, the air volume of the head-mounted respiratory protection system is dynamically allocated, and control commands are generated to adjust the opening of the air valve to achieve precise control.

Benefits of technology

It enables real-time monitoring and precise control of pollutant distribution, ensuring worker health, reducing energy consumption, and improving pollutant removal efficiency.

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Abstract

The invention discloses a pollution monitoring and air supply control method for a head-mounted respiratory protection system and a storage medium. The pollution monitoring and air supply control method comprises the following steps: collecting pollutant time sequence data in real time by using an arranged multispectral sensor, and transmitting the pollutant time sequence data to a central processing unit of the head-mounted respiratory protection system; the method comprises the following steps: processing time sequence data of pollutants by using fast Fourier transform, extracting dominant frequency characteristics of the pollutants, and calculating an average particle size of the pollutants; the air volume of each air inlet channel of the head-mounted respiratory protection system is dynamically distributed by combining the average particle size and the diffusion characteristic of pollutants and the fluid constraint of the respiratory protection system and utilizing a particle swarm optimization algorithm, and the air volume distribution is optimized according to the characteristics of the pollutants with different particle sizes and the capacity of the respiratory protection system; the lowest energy consumption is realized; meanwhile, the optimal pollutant removal effect is ensured; and according to the optimized air volume value, a control instruction is generated to adjust the air valve opening degree of each air inlet channel, the air volume distribution of each air inlet channel is accurately controlled, and the health of workers in the current workplace is guaranteed.
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