Design Of Body Signs And Environmental Parameter Monitoring System In Elderly Community

Current Internet of things technology in many application scenarios,including wireless sensor network technology plays an important role,provide for the aged community signs and environmental parameters monitoring of intelligent in further strengthen,but due to the complicated application scenarios,makes the related parameters of the real-time monitoring becomes more difficult,for such problems,this paper proposes a retirement community human body signs and environmental parameters monitoring system design.This scheme is designed to collect data by temperature detection,blood oxygen detection and temperature and humidity detection.The location information of detection points is positioned by GPS module,the upload of detection data is realized through the combination of NB-IoT and ZigBee communication technology,and the management and display of data are realized by connecting the OneNet cloud platform,which solves the problems of terminal data collection,transmission and communication,platform monitoring and so on in the elderly community.In the process of system design,according to the study of health management in the elderly community,this paper completes the construction of the data intelligent monitoring system in the community.This system mainly solves the hardware and software design of node detection equipment,puts forward the node energy saving strategy,and develops the OneNet cloud platform monitoring and management project products.Hardware detection part of this system mainly complete terminal sensor nodes of the experimental data acquisition,communication through the NB-IoT and ZigBee technology for data transmission,the combination of the NB-IoT communication is selected BC26 chip,its built-in the MQTT protocol to implement connected with OneNET cloud platform,STM32 chip is chosen as the control processing unit,the control system for the terminal detection equipment.The software part mainly completes the embedded development of node detection equipment and the software configuration of cloud platform.The data uploading and management display can be realized if the network is successfully connected.Finally,through the simulation analysis of the node energy consumption model,compared with the test results of fixed sampling frequency,the algorithm can effectively reduce the energy consumption of the equipment.System test respectively to the terminal detection equipment data acquisition,cloud platform for communication and monitoring function of the test,and the experimental results show that the sensor can collect real-time experimental data through the communication module to complete the upload,cloud platform reading data collected from the related instruction effectively,and to deal with the final display.In the process of data collection,when the parameters received by the cloud platform exceed the initial set value,the cloud platform will send trigger instructions for alarm.The overall performance is stable and the expected goal is achieved.Figure.[54]table[1]reference[86]...