鲸鱼优化算法下气体泄漏源波达方向估计法

doi:10.16265/j.cnki.issn1003-3033.2021.03.003

中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (3): 19-27.doi: 10.16265/j.cnki.issn1003-3033.2021.03.003

鲸鱼优化算法下气体泄漏源波达方向估计法

李鹏^1,2,3 教授, 常思婕^1,3

1 南京信息工程大学江苏省气象探测与信息处理重点实验室,江苏南京 210044;
2 南京信息工程大学滨江学院自动化学院,江苏无锡 214105;
3 南京信息工程大学江苏省气象传感网技术工程中心,江苏南京 210044

收稿日期:2020-12-10 修回日期:2021-02-05 出版日期:2021-03-28 发布日期:2021-12-20
作者简介:李鹏 (1966—),男,山东淄博人,博士,教授,主要从事通信信号处理、北斗定位、图像处理等工作。E-mail: 002036@nuist.edu.cn。
基金资助:
国家自然科学基金资助(41075115);江苏省重点研发计划社会发展项目(BE2015692);江苏省第11批六大高峰人才项目(2014-XXRJ-006);无锡市社会发展科技示范工程项目(N20191008)。

DOA method of gas leakage source based on WOA

LI Peng^1,2,3, CHANG Sijie^1,3

1 Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing Jiangsu 210044, China;
2 School of Automation, Binjiang College, Nanjing University of Information Science and Technology, Wuxi Jiangsu 214105, China;
3 Jiangsu Meteorological Sensor Network Technology Engineering Center, Nanjing University of Information Science and Technology, Nanjing Jiangsu 210044, China

Received:2020-12-10 Revised:2021-02-05 Online:2021-03-28 Published:2021-12-20

摘要/Abstract

摘要： 为减小压力容器气体泄漏实时位置估算误差,准确监测容器工况,首先,从声学监测角度提出一种引入鲸鱼优化算法(WOA)的泄漏源估计方法,采用波达方向(DOA)估计法预测气体泄漏位置方向,获得泄漏源角坐标;然后,引入WOA自适应选择方法分解DOA的特征值,多次迭代得到最精确的泄漏位置;最后,以某化工厂中压力容器数据为实际算例,比较基于WOA的气体泄漏源估计结果。结果表明:该方法可以实现压力容器泄漏精确定位,通过仿真性能曲线可直观地看出,相比于传统DOA方法及基于其他仿生智能算法的DOA方法,该方法鲁棒性和抗噪性能更好,且定位准确率高达95%,节省时间消耗达92.2%,可增强工程应用实时性。

关键词: 鲸鱼优化算法(WOA), 气体泄漏源估计, 波达方向(DOA)估计法, 压力容器, 仿生算法

Abstract: In order to reduce real-time estimation error of gas leakage position in pressure vessel, thereby accurately monitoring its working conditions and preventing accidents, firstly, a leakage source estimation method based on WOA was proposed from perspective of acoustic monitoring, and DOA was used to predict leakage location direction to obtain angle coordinates of leak source. Then, WOA adaptive selection method was introduced to decompose characteristic value of DOA, and the most accurate leak location was acquired through multiple iteration. Finally, with pressure vessel in a chemical plant as an example, estimation results of leakage source based on WOA were compared. The results show that this method can precisely define location of leakage in pressure vessel, and it is found to have better robustness and anti-noise performance than traditional DOA and DOA methods based on other bionic intelligent algorithms according to performance simulation curves. Moreover, it has a positioning accuracy rate as high as of 95%, ans can save time consumption by 92.2%, thus enhancing real-time nature of engineering applications.

Key words: whale optimization algorithm (WOA), gas leak source estimation, direction of arrival(DOA) estimation, pressure vessel, bionic algorithm

中图分类号:

X944.4

李鹏, 常思婕. 鲸鱼优化算法下气体泄漏源波达方向估计法[J]. 中国安全科学学报, 2021, 31(3): 19-27.

LI Peng, CHANG Sijie. DOA method of gas leakage source based on WOA[J]. China Safety Science Journal, 2021, 31(3): 19-27.

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鲸鱼优化算法下气体泄漏源波达方向估计法

DOA method of gas leakage source based on WOA

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