Research And Implementation Of Intelligent Elderly Guardianship Based On BLE

Faced with the increasing proportion of China's population aging and the increasing proportion of empty nesters,how to pay attention to the physical condition of the empty nesters and the prevention of the elderly has become a series of social problems that cannot be ignored.In this context,the intelligent elderly guardian clothing came into being.The intelligent elderly guardian clothing consists of a variety of sensor fusion,sensor communication network and cloud platform.BLE is used as the communication network equipment,and CC2541 module is used as the acquisition of single module data.Processing,the module that needs to collect data includes a heart rate sensor module,a DHT11 temperature and humidity module,a GPS/Beidou positioning module,and the like.In addition,the MPU6050 six-axis sensor module and the RFP film pressure sensor module are used to detect the fall state.After the sensor module collects the data,the data is sent to the SIM900 A module through the BLE communication network,and the SIM900 A module uploads the data to the cloud database storage through the GPRS technology.Through the monitoring platform,children can obtain some physiological characteristics of the elderly and travel trajectories.For the intelligent elderly guardian clothes,because of the physical condition of the elderly and some physiological inconveniences,the power consumption is a heavy weight.This is a working mode of BLE multi-master and slave.Compared to a master multi-slave mode,it can provide approximately twice the module working time.The work and results of this paper are as follows:(1)Analyze the difference between traditional Bluetooth and low-power Bluetooth and the application of embedded sensors in intelligent elderly guardian clothes.Designed a set of intelligent monitoring system for the elderly clothing.On the basis of the current old clothes,a series of related hardware was added.The hardware is centered around the SIM900 A slave module,Using heart rate sensor,DHT11 sensor,GPS/Beidou positioning and other host modules as auxiliary modules.The relevant host module sends the collected sensor data to the SIM900 A slave module through the BLE communication network,and then sends it to the cloud database by the SIM900 A slave module.Analyze the power consumption of the mainstream BLE-master-multi-slave mode,and propose a multi-master-slave connection mode,and analyze the power consumption performance of the single module and the whole module respectively.Through experiments,the power consumption of the multi-master-slave connection mode is about 50% of the power consumption of a master-multi-slave mode,and its working time is about twice that of a master-multi-slave mode,which improves the working time of the module and reduces the cost.And artificial workload.(2)A multi-sensor fusion fall detection algorithm is proposed.The MPU6050 six-axis sensor module and the RFP film pressure sensor module are combined,and the MPU6050 module is placed on the shoulder,so that the value of each axis will be larger when detecting the fall motion.Change,the RFP module is placed in the sole of the foot.When the acceleration data of the MPU6050 module and the angular velocity data are abnormal,the pressure of the sole will continue to be measured.After the condition is met,an alarm message will be sent.This mode reduces the behavior of other behaviors on the fall.Interference improves the accuracy of the algorithm in detecting falls.(3)Designed a set of intelligent monitoring platform,which can view the relevant data of the elderly by the platform,so as to make corresponding decisions based on the data.