基于塔克分解和声学测温的三维温度场重建
Three-dimensional Temperature Field Reconstruction Based on Tucker Decomposition and Acoustic Thermometry
姚鹏搏 1孙铭阳 1王元 1沈国清1
作者信息
- 1. 华北电力大学能源动力与机械工程学院,北京 102206
- 折叠
摘要
提出了一种基于塔克分解和声学测温的三维温度分布重建算法,该算法采用数值计算方法建立先验数据集,利用塔克分解提取锅炉温度场的主要特征,将声学测温与二维温度场插值相结合,重建三维温度场,提高了复杂温度场的重构精度,具有较快的重建速度.结果表明:该算法能够在10 s左右重建复杂三维温度场,相比传统声学测温可以将重建误差降低10％以上,对于先验工况外的温度场也有较强的适用性,对燃煤电厂燃烧优化和负荷调整具有一定的指导意义.
Abstract
A three-dimensional temperature distribution reconstruction algorithm based on Tucker decom-position and acoustic temperature measurement was proposed.In the algorithm,numerical computation was used to establish a priori dataset,the main characteristics of the boiler temperature field were extrac-ted using Tucker decomposition,and acoustic temperature measurement was combined with two-dimen-sional temperature field interpolation to reconstruct the three-dimensional temperature field.The algo-rithm could improve the reconstruction accuracy of complex temperature fields and have a fast reconstruc-tion speed.Results show that the method can reconstruct complex three-dimensional temperature fields in about 10 seconds,and reduce reconstruction errors by more than 10％compared to traditional acoustic temperature measurement.It also has strong applicability for temperature fields outside priori operating conditions,and has some guiding significance for combustion optimization and load adjustment in coal-fired power plants.
关键词
切圆锅炉/三维温度场/塔克分解/声学测温Key words
tangentially boiler/three-dimensional temperature field/Tucker decomposition/acoustic ther-mometry引用本文复制引用
基金项目
国家自然科学基金面上资助项目(12274122)
出版年
2024
NETL
NSTL
万方数据