Simulation Study Of Radiation Temperature Measurement Based On Optimization Algorithm

With the rapid rise of industries such as industrial manufacturing in China,the temperature of the flame is a crucial parameter to reflect the burning process of a substance.Only by measuring the accurate temperature value can the subsequent problems be solved conveniently.For large boiler combustion,the selection of heat resistant material on the inner wall of the boiler is also determined by the temperature field in the boiler.Only through the real-time and accurate detection of the temperature can some parameters in the combustion process be optimized,so as to improve the combustion efficiency of the fuel.The method of multispectral analysis is the most basic method to solve the heat radiation problem in combustion process.Because in the case of actual combustion,the spectral emissivity of the material is unknown.Therefore,the main purpose of this paper is to find a method to solve the target temperature without assuming the emissivity model.In this paper,multispectral radiometric temperature measurement is studied.Based on Planck's radiation law,a mathematical model of reference temperature is established,and two optimization methods,gradient descent method and iteration algorithm,are proposed to process the data with Matlab.In this paper,six kinds of material models with different emittance trends are simulated,and the emittance satisfying the six kinds of material model trends is found by the algorithm.The simulation results show that the emissivity satisfying the conditions can be found through the optimization algorithm,and the error between the target temperature and the true temperature is within 20 k.Through simulation data show that both algorithms to deal with the problem of multispectral radiation temperature measurement has the feasibility,and then the two kinds of algorithm simulation after adding noise,the results are compared with ideal circumstances really appeared deviation,but also can well meet the trend of emissivity,prove that both algorithms have a certain anti-interference ability.Finally,through the comparative analysis of the simulation running time of the two optimization algorithms,it is concluded that the average running time of the iterative algorithm program is more than one minute faster than the gradient descent method,which also makes the iterative algorithm more advantageous in practical application.