Dynamic reconstruction algorithm of temperature field based on Kalman filter

International Symposium on Resource Exploration and Environmental Science

地球科学;生态环境科学

Li, Yanqiu^1 ; Liu, Shi^1 ; Han, Ren^2

School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing, China^1

Tonghua Electric Power Survey Design CO.Ltd, Tonghua, China^2

关键词: Acoustic measurements;    Dynamic reconstruction;    Dynamic reconstruction algorithms;    Reconstruction method;    Reconstruction quality;    Temperature field measurements;    Temperature field reconstruction;    Temperature reconstruction;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/64/1/012095/pdf
DOI  :  10.1088/1755-1315/64/1/012095

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Development of temperature reconstruction algorithm plays an important role in the application of temperature field measurement by acoustic tomography. A dynamic model of temperature field reconstruction by acoustic tomography is established. A dynamic reconstruction algorithm based on Kalman Filter (KF) is proposed considering both acoustic measurement and the dynamic evolution information. An objective function fusing space constrain with dynamic evolution information is designed. Simulation results of three temperature field distribution models show that the reconstruction quality of dynamic reconstruction method based on KF is better than those of static reconstruction methods.