Research On Fireman's Individual Position Detection System Based On Inertial Principle

With the rapid development of urbanization,the number of urban buildings has also increased dramatically.The scale of cities is getting bigger and bigger.The occurrence of fires is often unpredictable.If the treatment is not timely,the disaster will be difficult to control and will bring More serious economic losses and casualties.Firefighters are front-line personnel who struggle at the disaster site.When a fire breaks out,firefighters need to enter the building to carry out fire fighting and rescue,saving the lives and property of the people.If the fire in the fire is large,along with the burning of the decoration ornaments in the building,there will be a lot of smoke in the fire,people's normal sight will be hindered,and the terrain of the building at the disaster site is complicated,so it is difficult for firefighters to be accurate.Positioning its position makes it very difficult for command and firefighter rescue.Based on this situation,this topic focuses on the design and research of the fireman's individual motion position detection system in the indoor fire environment.This paper first introduces the working principle and function of the fireman's individual motion position detection system based on the principle of inertial navigation.The overall design scheme of the fireman's individual motion position detection system based on the inertial navigation principle is carried out.Related introduction.The software flow and interface design of the fireman's individual motion position detection system are described.At the same time,the communication scheme design of the fireman's individual motion position detection system is described.Secondly,the positioning algorithm scheme involved in the fireman's individual motion position detection system based on the principle of inertial navigation is summarized.It includes the attitude solving algorithm,the gait recognition algorithm and the speed displacement algorithm.By calculating the three parts of attitude,gait and speed displacement,the data information of the firefighter's movement position is obtained.According to the error generated by each algorithm,an effective trajectory optimization scheme is proposed.Finally,the paper analyzes the causes of the instability of the magnetometer amplitude,finds out the factors affecting the magnetometer amplitude instability,and finds the corresponding calibration method.At the same time,the ADIS16480 sensor and the MPU6050 sensor are compared by static and motion.The guidance of the system sensor selection is given.The ADIS16480 sensor can achieve indoor positioning accuracy of less than 0.4%.This paper also carried out the comparison of the trajectory accuracy of the ADIS16480 sensor and the MPU6050 sensor,and gave the selection guidance.