Design Of Intelligent Elderly Care Online Monitoring System Under The Environment Of Internet Of Things

Nowadays,Internet of things technology is applied in many places.Of course,Internet of things technology also plays a very important role in the monitoring of activity places and physical signs parameters of the elderly.Due to the variability of life scenes of the elderly,the real-time monitoring of relevant parameters becomes more and more difficult.Therefore,it is necessary to find a more intelligent management method.This paper proposes a design scheme of intelligent elderly care online monitoring system in the Internet of things environment by using a variety of modern technologies such as multi-sensor fusion technology,NB-IoT communication technology,OneNET cloud platform data management and host computer monitoring platform.In the system design scheme,it is proposed to collect data by heart rate detection,blood oxygen detection and spatial displacement detection,and the position information of the monitoring object is located through the GPS module.The upload of detection data is realized through NB-IoT communication technology,and the data management and display are realized by connecting OneNET cloud platform and combining host computer technology to solve the problems of terminal data acquisition,data transmission communication,platform monitoring and management.According to the research on the health management of the living state of the elderly,this paper completes the construction of the data monitoring system.The system mainly solves the software and hardware design of node detection equipment,and develops OneNET cloud platform monitoring project products and host computer monitoring platform.The hardware detection part of the system mainly completes the collection of experimental data by the terminal sensor node,and the communication part realizes data transmission through NB-IoT technology.The NB-IoT communication selects BC20 chip,and the data is uploaded to OneNET cloud platform with the help of MQTT protocol.The control module selects STM32 chip to control the terminal detection equipment.The software part mainly completes the embedded development of node detection equipment and the software configuration of OneNET cloud platform.The successful connection to the network can realize the upload,management and display of data.The system test part mainly tests the data collection of terminal detection equipment,USR-VCOM virtual port debugging,ComMax v2.3 serial port debugging,OneNET cloud platform and host computer monitoring functions.The experimental results show that the sensor can collect experimental data in real time and upload it through BC20 communication module.The OneNET cloud platform can effectively read the collected data through relevant instructions,It is processed and finally displayed.In the process of data acquisition,when the data received by the upper computer monitoring platform exceeds the initial setting value,it will send information in time for notification.The overall operation of the system is stable and meets the design requirements.Figure[64]Table[2]Reference[85]...