|本期目录/Table of Contents|

[1]陈增强,高艺博,陈成功,等.基于差分进化-NM单纯形法的危化品泄漏源定位*[J].中国安全生产科学技术,2022,18(5):90-95.[doi:10.11731/j.issn.1673-193x.2022.05.014]
 CHEN Zengqiang,GAO Yibo,CHEN Chenggong,et al.Location for leakage source of hazardous chemicals based on differential evolution-NM simplex method[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(5):90-95.[doi:10.11731/j.issn.1673-193x.2022.05.014]
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基于差分进化-NM单纯形法的危化品泄漏源定位*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
18
期数:
2022年5期
页码:
90-95
栏目:
职业安全卫生管理与技术
出版日期:
2022-05-31

文章信息/Info

Title:
Location for leakage source of hazardous chemicals based on differential evolution-NM simplex method
文章编号:
1673-193X(2022)-05-0090-06
作者:
陈增强高艺博陈成功吕宝源王心哲
(北京石油化工学院 信息工程学院,北京102617)
Author(s):
CHEN Zengqiang GAO Yibo CHEN Chenggong LYU Baoyuan WANG Xinzhe
(School of Information Engineering,Beijing Institute of Petrochemical Technology,Beijing 102617,China)
关键词:
源强反算高斯扩散模型差分进化Nelder Mead单纯形法泄漏源定位
Keywords:
inverse calculation of source intensity Gaussian diffusion model differential evolution (DE) Nelder Mead (NM) simplex method location of leakage source
分类号:
X937
DOI:
10.11731/j.issn.1673-193x.2022.05.014
文献标志码:
A
摘要:
为确定危化品泄漏源的强度和位置,提出1种基于DE-NM算法的危化品泄漏源定位方法,以监测浓度与扩散模型计算浓度的误差作为优化目标,在差分进化过程中每隔一定代数执行单纯形法,使得二者误差最小的源强和位置即为最优定位结果。研究结果表明:DE-NM算法能够快速有效地反算出泄漏源的强度和位置,满足应急响应的要求;同时,能够避免DE算法的过早收敛,以及NM算法对初值敏感的问题,有效降低单一算法对定位结果精度造成的不利影响。
Abstract:
In order to determine the intensity and location of the leakage source of hazardous chemicals,a method for locating the leakage source of hazardous chemicals based on the DE-NM algorithm was proposed.Taking the error of monitoring concentration and concentration calculated by the diffusion model as the optimization goal,in the process of differential evolution,the simplex method was executed every certain algebra,so that the source intensity and location with the smallest error between the two were the optimal location results.The results showed that the DE-NM algorithm could quickly and effectively inversely calculate the intensity and location of the leakage source,so as to meet the requirements of emergency response.At the same time,it avoided the premature convergence of the DE algorithm and the sensitivity of the NM algorithm to the initial value,which effectively reduced the adverse effect of a single algorithm on the accuracy of the location results.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2021-07-20
* 基金项目: 北京市社科基金项目(16GLC062);北京市教委项目(KM201710017008);北京市自然科学基金项目(9192009)
作者简介: 陈增强,博士,讲师,主要研究方向为危险化学品的大气扩散模拟及事故源的定位方法。
更新日期/Last Update: 2022-06-15