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基于金字塔分层L-K光流法的燃气火焰动态特征提取与分析

Extraction and Analysis of Dynamic Features of Gas Flames Based on Pyramidal Layered L-K Optical Flow Algorithm

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【作者】 王敬燊毕德贵王宇樊俊杰

【Author】 Wang Jingshen;Bi Degui;Wang Yu;Fan Junjie;School of Environment and Architecture,University of Shanghai for Science and Technology;School of Mechanical Engineering,Shanghai Jiao Tong University;

【通讯作者】 毕德贵;

【机构】 上海理工大学环境与建筑学院上海交通大学机械与动力工程学院

【摘要】 本文研究了金字塔分层L-K光流算法在燃气火焰诊断中的应用,通过实验提取不同工况下燃气火焰图像动态特征,并验证火焰动态特征灵敏性和有效性.结果表明:在稳定工况下,速度大小的均值和方差相比于速度方向的均值和方差更能反映火焰的动态变化;在不稳定工况下,动态特征的速度大小、均值出现周期性变化,描述了不稳定燃烧和火焰熄灭的过程;速度大小均值和方差与工况参数之间呈现显著相关,而速度方向均值和方差相关性较弱.本研究为开发新的燃气检测技术提供参考.

【Abstract】 This paper studies the application of the pyramidal layered L-K optical flow algorithm in gas flame diagnosis. The dynamic features of gas flame images under different operating conditions are extracted experimentally to verify the sensitivity and effectiveness of flame dynamic features. The results show that under stable operating conditions,the mean and variance of velocity magnitude are more indicative of the dynamic changes of flame than those of velocity direction;under unstable operating conditions,the mean and variance of dynamic features show periodic changes,which describes the process of unstable combustion and flame extinction;the mean and variance of velocity magnitude are significantly correlated with operating parameters but weakly correlated with those of velocity direction. This study provides a reference for the development of new gas flame detection technologies.

【基金】 国家重点研发计划资助项目(2021YFF0600601)
  • 【文献出处】 燃烧科学与技术 ,Journal of Combustion Science and Technology , 编辑部邮箱 ,2024年04期
  • 【分类号】TP391.41;O643.21
  • 【下载频次】4
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