The Boiler Temperature Field Reconstruction Algorithm Based on Genetic Algorithm

Abstract:

The traditional power station boiler temperature field reconstruction algorithm is sensitive to the time of flight. In the boiler movement, the temperature field has symmetric distribution feature within the boiler. On the basis of the boiler temperature field reconstruction fundamental by using the acoustic method, the paper presents a new two dimension temperature field reconstruction algorithm, which combines the single path method and genetic algorithm. Firstly, the algorithm makes sure the temperature distribution by using single path function. It uses the points denote the temperatures on each path, and plots the mesh, which can represent the temperature preliminary distribution, by using the Bezier spline principle and linear multistep integration. Finally, the surface mesh is Interpolated and fitted by using genetic algorithm. The experimental result proved that, compared to the least square method, the new reconstruction algorithm has the feature of higher accuracy and higher reconstruction speed.

• Periodical: Applied Mechanics and Materials (Volumes 88-89)
• Pages: 269-273
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.88-89.269
• Online since: August 2011
• Authors: Cheng Zhi Li, Fu Qun Shao, Zhe Kan, Hai Xiang Fan
• Keywords: Acoustic Method, Boiler, Genetic Algorithm (GA), Least-Square Method (LSM), Model Field, Single Path Method, Surface Fitting, Temperature Field, Time-of-Flight (TOF), Triangulation Matrix

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