Research on Boiler Temperature Field Reconstruction Algorithm Based on Genetic Algorithm

Abstract

Based on the boiler temperature field reconstruction algorithm of acoustics principle, a temperature field reconstruction algorithm with genetic algorithm is proposed in this paper. Under laboratory condition, the reconstruct temperature field algorithm in use of genetic algorithm is simulated. Using genetic algorithm to interpolate the grid and fitting the measuring temperature field reconstruction is to achieve treatment, and the advantages of genetic algorithms reconstruction figure is confirmed. Meanwhile, the application of genetic algorithm reconstructs the acoustic temperature field with a curved effect on the transmission path. Finally, the reconstruction temperature field of the genetic algorithm draws the conclusion of high accuracy temperature field and faster reconstruction speed with the maximum error, maximum relative error of evaluation, the average error and root mean square error of the algorithm. The simulation results show that the temperature field reconstruction algorithm using genetic algorithms has the higher accuracy and faster reconstruction speed compared with the method of least squares algorithm for image reconstruction results.