Research On High Precision Non-contact Temperature Measurement Network System

Body temperature is one of the important physiological parameters of the human body,and it is an important guarantee for the healthy life of the human body.With the progress of science and technology,the infrared thermometer has developed rapidly,which has the characteristics of fast detection speed,convenient to carry and so on.In recent years,especially in recent years,there are frequent major infectious diseases in the world.The use of infrared thermometer to monitor and monitor personnel intensive situations is very important for controlling the development of the epidemic.At the same time,with the gradual promotion of telemedicine detection system,taking body temperature as a routine detection parameter is becoming more and more common.Infrared temperature measurement is widely applied.Based on this research background,a new infrared thermometer system based on human hip skin measurement is studied in this paper.First of all,this paper designs a set of infrared temperature measurement system,according to the basic theory of infrared temperature measurement,a preliminary study on infrared signal extraction,including photoelectric detector,signal amplifying and filtering circuit and signal processing part,research and design a set of suitable for this device can be applied to the buttocks of a human body infrared temperature signal extraction and processing circuit.Then,according to the infrared acquisition circuit,design a series of experiments were conducted on the infrared temperature measurement results under different influence factors,analysis of influencing factors in infrared thermometry,repeated measurements of human buttocks skin temperature,measurement and analysis of various factors affecting the optimal diffusion model of temperature field was constructed by the human body surface temperature into the buttocks the actual temperature of the human body.Secondly,diffusion model of signal acquisition environment set up the buttocks of a human body based on temperature field,using partial least squares method and coupled artificial neural network algorithm was used to optimize the temperature compensation,using partial least squares method to achieve a comprehensive multivariate linear regression and parameter correlation analysis and principal component analysis,the variables of the system,which overcomes the defects between the factors of the infrared thermometer the effect of the problem of multiple correlation.At the same time,self-study,we combine neural networks with self-organizing and nonlinear approximation function,solves the nonlinear problem of coupling model,simplify the network structure,to construct a high precision infrared temperature compensation model,realize the accurate measurement of body temperature.In addition to collecting and processing system,design a set of network transmission and temperature display system,WIFI wireless transmission technology to build a wireless transmission hardware circuit based on the collected data through the wireless transmission module to the C# language development PC server based on Android system or written mobile phone terminal based on APP software,the main functions include the calculation the temperature data,see the individual temperature information and historical data query.