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作 者:姚鹏搏 孙铭阳 王元 沈国清[1] YAO Pengbo;SUN Mingyang;WANG Yuan;SHEN Guoqing(School of Energy,Power and Mechanical Engineering,North China Electric Power University,Beijing 102206,China)
机构地区:[1]华北电力大学能源动力与机械工程学院,北京102206
出 处:《动力工程学报》2024年第4期557-565,共9页Journal of Chinese Society of Power Engineering
基 金:国家自然科学基金面上资助项目(12274122)。
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。A three-dimensional temperature distribution reconstruction algorithm based on Tucker decomposition 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 extracted using Tucker decomposition,and acoustic temperature measurement was combined with two-dimensional temperature field interpolation to reconstruct the three-dimensional temperature field.The algorithm could improve the reconstruction accuracy of complex temperature fields and have a fast reconstruction 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.
分 类 号:TK311[动力工程及工程热物理—热能工程]
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