A multispectral thermometry based on multi-objective constraint optimization

Abstract

Multispectral thermometry is a widely used non-contact temperature measurement method. How to obtain accurate target temperature under the unknown spectral emissivity is a difficult problem to be solved in this field. The emissivity assumption model method commonly used cannot be widely applied to the temperature measurement of various materials. Therefore, a multispectral thermometry based on multi-objective constraint optimization is proposed, which can accurately solve the true temperature and spectral emissivity without any prior knowledge of emissivity. In this method, the multi-objective function is established according to the radiation equations. The new emissivity constraint conditions are set for the objective function, and a mixed penalty function method is used to solve the constraint optimization problem. The simulation experiment results show that the relative error of temperature measurement for the method is less than 1%, and the average running time is less than 0.1 s, which prove the feasibility and reliability of the proposed method.