Interference Factors and Compensation Methods When Using Infrared Thermography for Temperature Measurement: A Review
Dong Pan, Ting‐Shan Mo, Zhaohui Jiang, Yu-Xia Duan, Zhongmei Li, Xavier Maldague, Weihua Gui
Abstract
Infrared thermography (IRT) is a widely used temperature measurement technology, but it faces the problem of measurement errors under interference factors. This article attempts to summarize the common interference factors and temperature compensation methods when applying IRT. According to the source of factors affecting the infrared temperature measurement (ITM) accuracy, the interference factors are divided into three categories: factors from the external environment, factors from the measured object, and factors from the infrared thermal imager itself. At the same time, the existing compensation methods are summarized and classified into three categories: mechanism modeling-based compensation (MMC) method, data-driven compensation (DDC) method, and mechanism and data jointly driven compensation (MDC) method. Furthermore, we discuss the problems existing in the temperature compensation methods and future research directions, aiming to provide some References for researchers in academia and industry when using IRT technology for temperature measurement.