基于小波熵的化工园区流场不稳定性

周成龙; 陈涛

doi:10.16511/j.cnki.qhdxxb.2020.25.032

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清华大学学报（自然科学版） ›› 2021, Vol. 61 ›› Issue (2) : 135-143. DOI: 10.16511/j.cnki.qhdxxb.2020.25.032

专题：安全监测

基于小波熵的化工园区流场不稳定性

周成龙, 陈涛

作者信息 +

Instability of flow field in chemical industry park based on wavelet entropy

ZHOU Chenglong, CHEN Tao

Author information +

文章历史 +

摘要

石化园区的挥发性有机化合物（volatile organic compounds，VOCs）无组织排放的监测溯源技术是研究热点，而监测点处的局部流场特征是溯源的关键。针对大庆炼化芳烃抽提设备，该文设计了一套分布式监测溯源系统。采用数值仿真对自然风下的设备区瞬态流动进行了研究，基于小波熵理论对流场的时变信号进行了处理，并研究了各种参数与流场稳定性的相关性。结果表明：小波熵可以表征流场的稳定性，风向小波熵越大，流动的不稳定性越强。关联性分析表明风速小波熵以及风向方差与风向小波熵具有强相关性，可以共同作为风场不稳定性的评价指标。风速变化量与风向小波熵呈现中等程度负相关，而风向平均偏转量和风速方差与不稳定性无关。

Abstract

Monitoring and tracing of unorganized volatile organic compounds (VOCs) emissions in petrochemical parks is important to maintaining public safety with the local flow field characteristics at the monitoring points being the key to accurate tracing. A distributed monitoring system was designed to identify unorganized emissions of volatile organic compounds in petrochemical parks with numerical simulations to study the transient flows in equipment areas. The time-varying signal of the measured flow field was processed using wavelet entropy theory to relate the flow field stability to various flow parameters. The results show that the wavelet entropy can characterize the flow instabilities. The correlation analysis shows that the wind speed wavelet entropy and the wind direction variance strongly correlate with the wind direction wavelet entropy and the flow field instabilities. The results also show that the wind speed changes correlate negatively with the wind direction wavelet entropy, while the mean wind deflection and the wind speed variance are not related to the flow instabilities.

导出引用

周成龙, 陈涛. 基于小波熵的化工园区流场不稳定性[J]. 清华大学学报（自然科学版）. 2021, 61(2): 135-143 https://doi.org/10.16511/j.cnki.qhdxxb.2020.25.032

ZHOU Chenglong, CHEN Tao. Instability of flow field in chemical industry park based on wavelet entropy[J]. Journal of Tsinghua University(Science and Technology). 2021, 61(2): 135-143 https://doi.org/10.16511/j.cnki.qhdxxb.2020.25.032

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基金

陈涛,研究员,E-mail:chentao.a@tsinghua.edu.cn

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收稿日期	出版日期
2020-03-23	2021-02-15
发布日期
2020-12-29

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