Intelligent Monitoring Design For Physical And Environment Signs Of Firefighters

Firefighters,especially forest firefighters,often experience casualties due to poor environmental conditions and delayed monitoring and warning of physical parameters during firefighting operations.Failure to locate firefighters in a timely manner and assist in evacuating the accident site can also lead to firefighter casualties.Therefore,it is crucial to conduct safety assessment of physical signs and intelligent monitoring of environmental parameters for firefighters to ensure the safety of frontline firefighters.This article is based on the Internet of Things technology and combines modern technological means such as microprocessor technology,sensor technology,network communication technology,and data fusion algorithms to design a fire intelligent monitoring system for forest firefighters’ physical sign data and their environment.Complete the collection,real-time transmission,multi-sensor data fusion processing,and visualization of key environmental parameters,firefighter signs,and location parameters at the fire scene.First of all,based on the existing medical and kinematics research results,this dissertation determines the key environment,physical signs and location parameters to be monitored;Based on the framework of the Internet of Things,the overall scheme of the fire intelligent monitoring system is designed,including the overall structure scheme based on the perception layer,network transmission layer and application layer,and the overall communication scheme based on the MQTT Internet of Things protocol;The whole system collects key parameters through hardware monitoring equipment,and finally realizes data storage and visualization in the cloud server through network communication.Secondly,this dissertation completes the hardware design of the fire intelligent monitoring system and the overall hardware framework design;STM32 series microprocessor main control chip and peripheral circuit are selected to complete the minimum system circuit design;For the parameters to be collected,the product models of communication module,sensor module and positioning module are selected and the circuit design of each module is completed.Thirdly,this dissertation completes the software design of fire intelligent monitoring equipment,completes the overall framework design of the software,and divides the software into microprocessor internal programs and cloud server monitoring terminal programs according to the location of program deployment.The main program design in the microprocessor,the program design of the communication module,the data processing process and program design of each sensor and positioning module were completed;The My SQL database design and data visualization of the web terminal in the cloud server were completed.Finally,in view of the problem that the satellite positioning system is prone to positioning drift and positioning error in the mountain forest operation scenario,this dissertation adopts the hardware design scheme of dual positioning modules,and uses the Kalman filtering algorithm and the federated Kalman filtering algorithm to filter and fuse the GPS and Beidou satellite positioning data collected and uploaded by the sensing layer,respectively,The simulation results show that the filtering algorithm and data fusion algorithm are effective in correcting and optimizing the accuracy of satellite positioning data.