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Research And Design Of Fire Fighter Indoor Location Based On MEMS

Posted on:2018-08-13Degree:MasterType:Thesis
Country:ChinaCandidate:X M TangFull Text:PDF
GTID:2348330512490675Subject:Control engineering
Abstract/Summary:PDF Full Text Request
Rapid development of the society and frequent occurrence of fire put forward higher requirements for the fire rescue.Considering the special case of fire scene,to develop an efficient and reliable indoor location device,ensure the rear command system can understanding the position and motion of firefighters in the rescue site and could deploy rescue decision efficiently and effectively,is of great significance to the people's life and property security.This paper first briefly describes the status of indoor location technology and inertial navigation research.Since the traditional indoor location technology cannot be directly applied to fire environment,based on the basic research of single fire-fighter combat system and its special application occasions,this paper put forward upper and lower dual inertial navigation location scheme of fireman depend on none external information.Then,hardware circuit of each module is designed,including power supply circuit,FPGA minimum control system,dual inertial navigation module and bluetooth module.After that,discusses the process of neural network establishment for estimates fireman's motion state,then discusses the estimation of walking displacement and algorithm caculation of interior course angle.The system function was implemented by FPGA in accordance with TOP-DOWN modular design ideas and process,and each module is completed simulation test.The indoor location scheme proposed in this paper abandoned conventional zero speed detection(ZUPT)algorithm.Through the analysis of inertial navigation data,established BP neural network models for human motion state judgment and walking step length estimation,combined with the frequency by autocorrelation of walking distance,the calculation of indoor distance is more accurate.Using the Extended Kalman Filter(EKF)to fuse the inertial data,which can accurately calculate the azimuth angle of human motion.The location device adopts the Field-Programmable Gate Array(FPGA)with parallel data processing capability as the main controller,through process the acquisition data of two inertial navigation modules at the same time,which can improve the real-time performance and reduce the design cost.A large number of tests and practical application show that the hardware design scheme is reasonable,the algorithm is efficient,the system performance is stable and reliable,and it meets the need of indoor location of firefighters,it has strong value use and wide application prospect.
Keywords/Search Tags:Fire-fighters, Indoor location, FPGA, Neural network, Autocorrelation, EKF
PDF Full Text Request
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