Abstract:Infrared thermal imaging temperature measurement system has developed rapidly due to its characteristics of long distance, noncontact, multitarget and high accuracy. In current epidemic period of 2019novel coronavirus (COVID19), infrared thermal imaging temperature measurement technology highlights its importance in order to quickly and efficiently screen out hightemperature population, prevent and control epidemic situation in time. During the measurement process, the temperature of the measured object, ambient temperature, atmospheric temperature, lens temperature, detector temperature and other factors have certain influence on the temperature measurement accuracy, especially the highaccuracy calibration of the temperature measurement curve has the most critical influence on the temperature measurement accuracy of the infrared thermal imager. In this paper, the principle of infrared temperature measurement is studied, a matching model between the output gray value of the infrared temperature measurement system and the measured temperature of the measured object is established, and a method for accurately calibrating temperature measurement curves is found. The V-T4r curves applied to highaccuracy temperature measurement and the V-TFPA,V-Tlens and V-Tshutter curves applied to temperature drift compensation are proposed. Through experiment verification, the ideal effects were achieved, and the temperature measurement accuracy is significantly improved, which can reach within 015 K. .txt