| ZigBee is a short-distance,low-speed,low-power wireless sensing technology.It is widely used in smart home.Among them,Ambient Assisted Living system for the aged provides health monitoring to caregivers by collecting sensing data in the environment or physical parameters of the aged,and then through a series of data analysis,improving the accuracy and response of the data is helpful to better health monitoring of the aged,improve the quality of life of the aged,and provide a safer living environment for the aged alone.Therefore,it has practical application value to research on the ambient assisted living system for the aged and its data processing methods.This thesis mainly studies in the ZigBee-based ambient assisted living system for the aged and the related data processing methods.The data processing architecture based on local data collection and analysis is proposed and designed,which can be divided into three layers: data collecting layer,data filtering layer and data analysis layer,aiming at the sensor data acquisition is not accurate enough or the accuracy is not high.Aiming at the common centralized analysis processing in server,this thesis proposes a processing method based on data local filtering and local analysis.The prototype system is designed and implemented.Combining with ZigBee technology and data preprocessing methods,intelligent alarm system and health detection are provided for the aged.The test results of the prototype system show that the solution of the data processing methods in the ZigBee-based ambient assisted living system for the aged proposed in this thesis can obtain more accurate health monitoring results and effectively mitigate the work pressure of the caretaker.Compared with the traditional FIFO algorithm,the simulated experiment and test results show that the VAR simplified variable neighborhood algorithm based on RVNS algorithm can effectively improve the processing efficiency of the monitored data. |
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