| The Outline of ”Healthy China 2030” issued by the state clearly puts forward the basic principles of adhering to early intervention and improving services,stressing that effective intervention measures should be taken as soon as possible to deal with major health problems and their influencing factors,so as to realize early diagnosis and treatment and early rehabilitation.Under this background,the importance of multi-physiological monitoring technology is becoming more and more prominent.However,the existing physiological monitoring devices lack a unified data aggregation and clock synchronization mechanism,which makes it difficult to effectively integrate the collected physiological monitoring data and can not well support the application requirements of disease prevention and treatment.In view of the above problems,this thesis constructs a sensor network for multiphysiological monitoring to realize the effective convergence of multi-physiological monitoring signals.At the same time,it designs clock synchronization protocols and algorithms,and establishes a time benchmark for the sensor network to support the effective integration of multi-physiological signals in the upper application.The specific research contents are as follows:(1)According to the practical application requirements,the overall design of physiological monitoring multi-sensor network is completed.Physiological sensor network mainly consists of data acquisition terminal and data receiving terminal.Physiological nodes constitute the data sensor terminal,which is responsible for collecting various physiological signals; As the data receiving terminal,the sink nodes are responsible for building the sensor network and sending the data collected by the physiological nodes to the PC.(2)According to the overall design scheme of physiological monitoring sensor network,the design index and overall design scheme of sensor nodes are put forward,and the module component selection and circuit realization of the two types of nodes are completed,as well as the corresponding embedded software design work.Physiological nodes embedded software mainly completes physiological signal acquisition,equipment networking and flood clock synchronization protocol.The embedded software of sink nodes mainly realizes network communication protocol stack and precision clock synchronization protocol stack.(3)The clock synchronization of physiological monitoring sensor network is designed and implemented.The sink nodes use the precision clock synchronization protocol to realize synchronization.Physiological nodes are synchronized using the flood clock synchronization protocol.The synchronization error of precision clock synchronization protocol is analyzed,and the synchronization error is optimized by Kalman filter algorithm.The implementation process and synchronization error of flood clock synchronization protocol are analyzed,and a fast flood clock synchronization protocol is proposed.Several clock synchronization algorithms are simulated and verified on the simulation platform.The simulation results show that the improved clock synchronization algorithm can effectively improve the accuracy of clock synchronization.(4)Physiological monitoring sensor network test platform was built to verify the functional completion degree and data validity of multi-physiological signal acquisition.In a typical test scenario,the clock synchronization protocol and algorithm designed in this thesis are tested and verified.The experimental results show that the Kalman filter algorithm can improve the synchronization accuracy of the precision clock synchronization protocol,and the fast flooding clock synchronization protocol can improve the convergence speed and synchronization accuracy of the clock synchronization. |
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