Intelligent Fire Fighting Clothing Research Based On Multi-sensor Fusion

In modern firefighting and rescue activities,firefighting and rescue personnel face various unknown scenarios without fear of danger and protect the lives and safety of people.At the same time,their own safety protection has not been well protected.Facing more and more complex and increasingly complex rescue environments,the threat to the lives of firefighters and rescue workers has also increased.Firefighting clothing is the most direct protection equipment for firefighters and rescuers.The safety of firefighting clothing directly deciding and influencing the lives and safety of firefighters and rescuers,most of the protection for firefighters in modern times is the improvement of physical protection,and the same is true for the fire fighting and rescue personnel's necessary equipment and fire fighting clothing,most of which are the improvement of the physical characteristics of fire fighting clothing.And there is no more smart protection been emerged.Therefore,it is hoped to use the research to improve the overall safety protection of fire service clothing,not only physical protection,but also more intelligent protection performance;for example,to a certain extent,can detect the firefighter's human parameters and firefighters environment parameters,And real-time data transmission to the host computer,convenient remote monitoring;when the firefighter and rescuer in a dangerous situation can be timely warning,timely protection of firefighter's and rescuer's life safety,timely adjustment of fire rescue plans.Based on the research of multi-sensor fusion,the main research is on modular and embedded sensor devices.The sensor is embedded in the appropriate place of the fire fighting clothing.It can quickly collect the physical parameters of the firefighters and the environmental parameters without affecting the firefighters.For normal activities,in order to be able to monitor the firefighter's and rescuer's safety status in real time,the firefighter's and rescuer's body temperature,heart rate,exercise status,positioning information,and environmental temperature and harmful gas carbon monoxide concentration information are mainly collected.With this modular sensor design and research,it is convenient to respond when firefighter and rescuer is in different environments,and some sensors can be added or removed according to actual conditions.For example,the concentration of hydrogen sulfide can be increased to collect sensors to cope with some dangerous chemical environments.Using the correlation between the sensors,self-correction between sensors is proposed: An existing high-precision infrared temperature sensor can be used to correct the electrochemical gas sensor with poor accuracy.When collecting the physical parameters of the fire fighters and rescuers and the information of their environment,they can make timely judgments on the safety conditions of firefighters and protect the safety of firefighters and rescuers in a timely manner.When there is a large difference between some data and normal data,judgments can be quickly made at this time.However,in the case that some parameters do not have obvious characteristics,that is,in the case of fuzzy conditions,it is also necessary to quickly make judgments,quickly warn the safety of fire rescue workers,and make timely adjustments to the rescue plan.At this time,Fisher discriminant method was introduced to help enable the safety discrimination and early warning in a fuzzy situation.The research and design of relevant sensors and core control circuits are mainly carried out to meet the requirements of embedded wearable devices.At the same time,the relevant sensor information can be acquired and processed in a stable manner.The core control code and data acquisition and processing code are designed to collect data.At last,it is sent to the self-designed VB host computer through the wireless ZigBee module for real-time display,and the Matlab algorithm model of the Fisher security identification algorithm is written.The simulation experiment data is brought into the model for safety discrimination,and the accuracy of data collection and safety discrimination is finally verified.The discriminant accuracy rate is over 95%.At the same time,the hardware system is verified.The relevant sensor information can be collected and wirelessly transmitted to the upper computer for display.