基于改进遗传-单纯形混合算法的危险气体泄漏溯源分析

发布时间：2018-03-10 08:25

本文选题：遗传算法　切入点：单纯形法　出处：《中国安全生产科学技术》2017年11期 　论文类型：期刊论文

【摘要】：当发生危险气体泄漏时,确定其泄漏位置和泄漏源强,是制定应急方案的基础和依据之一。当无法直接确定泄漏位置、测量泄漏源强时,就需要通过有限的几个监测点,反演出可能的泄漏位置和泄漏源强,现有方法存在收敛过慢、初值敏感、参数过多等问题。描述一种结合改进遗传算法和单纯形法的IGA-NM混合算法,可用于快速反算气体泄漏的位置和源强。IGA-NM混合算法既避免了GA的收敛过慢,又避免了NM初值敏感,兼顾了全局优化。与GA、NM相比,IGA-NM混合算法的计算速度更快,计算误差更小。最后,应用IGA-NM混合算法,基于Web GIS设计了一套计算气体泄漏源强和位置的计算机程序,简化了输入参数,使用方便,可适用于气体泄漏应急监测、大气污染源溯源反查等场合。
[Abstract]:When a dangerous gas leak occurs, determining its leakage location and source strength is one of the bases and bases for making emergency plans. When it is impossible to determine the leakage location directly and measure the leakage source strength, it is necessary to pass through a limited number of monitoring points. In this paper, we describe a hybrid IGA-NM algorithm combining improved genetic algorithm and simplex method, which can reverse the potential leakage location and leakage source, and the existing methods have some problems such as slow convergence, sensitive initial value, excessive parameters, and so on. The hybrid algorithm, which can be used for fast reverse calculation of gas leakage location and source strength. IGA-NM not only avoids the slow convergence of GA, but also avoids the sensitivity of initial value of NM, and takes into account the global optimization. Compared with GANM, the hybrid algorithm of IGA-NM is faster. Finally, a computer program based on Web GIS is designed to calculate the strength and position of gas leakage source using IGA-NM hybrid algorithm, which simplifies the input parameters and is easy to use, and can be applied to gas leakage emergency monitoring. The air pollution source traceability countercheck and so on the occasion and so on.
【作者单位】：公安部消防局;中国安全生产科学研究院;
【基金】：“十三五”国家重点研发计划(2016YFC0801305)
【分类号】：TP18;TQ086.52;TQ116

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