本文選題：遺傳算法　切入點(diǎn)：單純形法　出處：《中國(guó)安全生產(chǎn)科學(xué)技術(shù)》2017年11期 　論文類(lèi)型：期刊論文

【摘要】：當(dāng)發(fā)生危險(xiǎn)氣體泄漏時(shí),確定其泄漏位置和泄漏源強(qiáng),是制定應(yīng)急方案的基礎(chǔ)和依據(jù)之一。當(dāng)無(wú)法直接確定泄漏位置、測(cè)量泄漏源強(qiáng)時(shí),就需要通過(guò)有限的幾個(gè)監(jiān)測(cè)點(diǎn),反演出可能的泄漏位置和泄漏源強(qiáng),現(xiàn)有方法存在收斂過(guò)慢、初值敏感、參數(shù)過(guò)多等問(wèn)題。描述一種結(jié)合改進(jìn)遺傳算法和單純形法的IGA-NM混合算法,可用于快速反算氣體泄漏的位置和源強(qiáng)。IGA-NM混合算法既避免了GA的收斂過(guò)慢,又避免了NM初值敏感,兼顧了全局優(yōu)化。與GA、NM相比,IGA-NM混合算法的計(jì)算速度更快,計(jì)算誤差更小。最后,應(yīng)用IGA-NM混合算法,基于Web GIS設(shè)計(jì)了一套計(jì)算氣體泄漏源強(qiáng)和位置的計(jì)算機(jī)程序,簡(jiǎn)化了輸入?yún)?shù),使用方便,可適用于氣體泄漏應(yīng)急監(jiān)測(cè)、大氣污染源溯源反查等場(chǎng)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.
【作者單位】： 公安部消防局;中國(guó)安全生產(chǎn)科學(xué)研究院;
【基金】：“十三五”國(guó)家重點(diǎn)研發(fā)計(jì)劃(2016YFC0801305)
【分類(lèi)號(hào)】：TP18;TQ086.52;TQ116

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