Font Size: a A A

Design And Implementation Of Body Temperature Monitoring System Based On Multi-User Mobile Node

Posted on:2020-09-21Degree:MasterType:Thesis
Country:ChinaCandidate:Z ZhangFull Text:PDF
GTID:2404330590496419Subject:Circuits and Systems
Abstract/Summary:PDF Full Text Request
Human body temperature is an important physiological indicator parameter.It can provide important reference value for the diagnosis and treatment of common diseases by monitoring body temperature.The demand for body temperature monitoring in places such as hospitals is very large.At present,intermittent measurement is mainly performed by mercury thermometers or single-point electronic thermometers,and the body temperature measurement data has poor real-time performance and high labor costs.Therefore,this paper designs and implements a body temperature monitoring system based on multi-user mobile nodes for the continuous measurement of body temperature and the actual requirements of wireless monitoring in multi-user scenarios such as hospitals.The body temperature monitoring system based on the multi-user mobile node mainly performs body temperature monitoring for multiple users at the same time.The multi-user monitoring is implemented on the hardware system as a plurality of body temperature monitoring devices for simultaneous measurement,and the ZigBee+GPRS heterogeneous network communication is used to transmit the collected data,that is,the multi-node management and data communication are realized through the ZigBee networking,and Longdistance transmission of data over a GPRS network;In the software system,it is designed for multi-type users,and adopts B/S+C/S hybrid architecture for development.The management staff can directly access the background management system to realize the body temperature online through the browser of terminal devices such as Pad and PC.Monitoring and related management,while the Android client app provides a real-time mobile monitoring platform for ordinary users.The system is mainly divided into five parts: wearable body temperature collection terminal,gateway,data server,web server and Android client app.The wearable body temperature collection terminal adopts a patch-type temperature sensor array as a temperature sensing part,and is designed in combination with the requirements of the wearable device,thereby realizing high-precision measurement of the armpit temperature.The gateway is composed of ZigBee coordinator and GPRS module,which is responsible for the construction of the ZigBee network and the connection between the gateway and the data server Socket communication,and realizes the wireless forwarding of measurement data.The data server is mainly responsible for receiving the body temperature measurement data sent by the gateway,and performing anti-interference and completion algorithm processing on the measurement data,and storing the processed result.The Web server mainly provides an online temperature monitoring and management platform for managers.The background management system based on the B/S architecture realizes the management of user and device information and provides visual online monitoring.The Android client app developed based on the C/S architecture provides users with a mobile real-time monitoring platform for body temperature,providing users with real-time online temperature monitoring,over-limit alarm and historical monitoring record query function.This paper also studies the measurement accuracy of the body temperature monitoring system.Combined with the KNN classification algorithm that can be run online,the interference data appearing in the measurement process is judged and identified in real time,and the effective filtering of the interference data is realized.At the same time,the data completion algorithm based on the spatio-temporal characteristics of the sensor is used to estimate the body temperature data at the time of interference to ensure the integrity of the measured data.Finally,the functional test of each module of the system is carried out,and the actual operation effect of the anti-interference and data completion algorithm proposed in this paper is tested.The test results show that the system realizes the continuous monitoring of body temperature under multi-user place,meets the requirements of electronic thermometer for measurement error?0.1?C,and has high accuracy and scalability.
Keywords/Search Tags:Body temperature monitoring, ZigBee+GPRS, B/S+C/S, Android, Background management system, KNN classification algorithm, Data completion algorithm
PDF Full Text Request
Related items