Research And Application Of Non-contact Temperature Measurement Method

Temperature measurement can be divided into two categories: contact type and noncontact type.Contact temperature measurement is very commonly used in electromagnetic heating device temperature measurement,but this kind of contact temperature measurement is slow,long delay,low accuracy,unsafe and other problems are becoming more and more prominent.Non-contact temperature measurement is also used in electromagnetic heating device applications.There are problems such as low accuracy and instability and other issues.In order to overcome these problems,this paper proposes three methods of using infrared sensors for non-contact temperature measurement error compensation.Because they cannot meet the accuracy requirements of the system,the genetic back propagation neural network algorithm(GA?BP)is studied and improved to improve the temperature measurement accuracy and robustness of the algorithm.Then designed a set of non-contact temperature measurement system,selected induction cooker as the object for experiment,analyzed and compared the advantages and disadvantages of each method,and found that the improved GA?BP neural network algorithm has the best error compensation effect,which can achieve non-contact,lowcost,and non-contact temperature measurement.The purpose of strong robustness and accurate real-time temperature measurement.Finally,the non-contact temperature measurement method proposed in this article is extended and applied to provide support and help for improving the performance of electromagnetic heating products and improving the production and testing efficiency of electromagnetic heating products.The main research contents of this paper are as follows:Firstly,the related theories of infrared temperature measurement and the main factors affecting infrared temperature measurement are analyzed,and the overall scheme of the noncontact temperature measurement system is designed,and the hardware design and software design of the infrared temperature measurement device are carried out.The non-contact temperature measurement system is composed of infrared sensor temperature measurement module,standard temperature measurement module,LCD liquid crystal display module,serial port transmission module,power circuit module,upper computer,etc.Secondly,the best temperature measurement distance was found through experiments,the emissivity was corrected,and the design of the non-contact temperature measurement system was completed.Using this system,the temperature measurement experiment is carried out with the induction cooker as the object.The temperature of the outer wall of the pot,the ambient temperature and the temperature of the medium in the pot are collected in different seasons and room temperature,and the median average filtering method and method are used for these data.The large deviation filtering method performs filtering preprocessing.Then the temperature error compensation methods: heat transfer mechanism method,BP neural network algorithm and GA?BP network algorithm are studied and applied in detail,and an improved GA?BP network is proposed.The method is applied in practice and compared with the other three.Comparing these methods,it is concluded that the improved GA?BP neural network is more advantageous in the compensation of the temperature error of the medium in the pot.This method effectively reduces the error caused by the ambient temperature and the temperature measurement of the outer wall of the pot to estimate the temperature of the medium in the pot,so as to achieve the purpose of low-cost,non-contact,accurate real-time temperature measurement.Finally,the proposed non-contact temperature measurement method is extended and applied to provide certain help to improve the production and test efficiency of household induction cooker products,and also to improve the working performance of household induction cooker products.Aiming at the problems existing in the current standard test methods for induction cooktops,some improved methods are given.