基于MATLAB的液化氣體源強(qiáng)反算研究
發(fā)布時間：2018-09-19 21:23
【摘要】：近幾十年，化工行業(yè)在我國如春筍般迅猛發(fā)展，液化氣體能源是化工生產(chǎn)中所要用到的燃料、原材料或是加工輔料，它的使用、需求及運(yùn)輸量也再逐年遞增。但由于意外導(dǎo)致泄漏的事故時有發(fā)生，而類似事故具突發(fā)性強(qiáng)，擴(kuò)散迅速等特點(diǎn)，一旦發(fā)生就有可能導(dǎo)致大量的人員中毒或傷亡，造成重大的財產(chǎn)損失。因此，在應(yīng)急救援過程中，快速獲得泄漏源強(qiáng)度和位置信息，準(zhǔn)確劃分泄漏氣體的影響區(qū)域，能夠在最大程度上減少損失。受影響區(qū)域范圍的劃分，可根據(jù)擴(kuò)散模型(本文采用高斯擴(kuò)散模型)結(jié)合泄漏源強(qiáng)度、氣象環(huán)境參數(shù)等確定出下風(fēng)向泄漏氣體的濃度。因此，快速確定泄漏源強(qiáng)度的是事故應(yīng)急救援的基礎(chǔ)。為此，本文針對液化氣體泄漏時泄漏源強(qiáng)反算研究進(jìn)行了如下工作： 1．以高斯煙羽擴(kuò)散模型為理論基礎(chǔ)，對不同假設(shè)條件下的的液化氣體(液氯)泄漏正向泄漏擴(kuò)散進(jìn)行了數(shù)值模擬。 2．針對液化氣體連續(xù)泄漏的特點(diǎn)，選擇液氯儲罐連續(xù)泄漏為例，構(gòu)建泄漏源強(qiáng)反算并對模型進(jìn)行求解。利用高斯模型得到氣體濃度的計算值，與對應(yīng)位置處監(jiān)測器監(jiān)測到的濃度值間的一定關(guān)系作為目標(biāo)函數(shù)。結(jié)合單純形搜索算法使目標(biāo)函數(shù)最優(yōu)化，確定泄漏氣體源強(qiáng)和具體位置信息。 3．以編程功能強(qiáng)大的MATLAB軟件為基礎(chǔ)，，結(jié)合GUI進(jìn)行界面設(shè)計，根據(jù)測量數(shù)據(jù)與模型公式中的參數(shù)估算出源強(qiáng)值，實(shí)現(xiàn)基于高斯模型為正向擴(kuò)散模型的單純形搜索算法源強(qiáng)反算，并分析在監(jiān)測數(shù)據(jù)存在測量誤差時，算法的可行性。 本文以液化氣體為研究對象，應(yīng)用MATLAB軟件對泄漏擴(kuò)散進(jìn)行了正向模擬并結(jié)合單純形搜索算法編程實(shí)現(xiàn)源強(qiáng)的反算，研究結(jié)論作為液化氣體泄漏事故的源強(qiáng)反算理論基礎(chǔ)，同時也為液化氣體泄漏的事故預(yù)測和應(yīng)急救援提供支持。
[Abstract]:In recent decades, chemical industry has been developing rapidly in our country. Liquefied gas energy is the fuel, raw material or processing auxiliary material used in chemical production. Its use, demand and transportation volume are also increasing year by year. However, accidents caused by accidents occur from time to time, and similar accidents are characterized by sudden and rapid diffusion. Once they occur, they may lead to a large number of personnel poisoning or casualties, resulting in significant property losses. Therefore, in the process of emergency rescue, quickly obtaining the information of leakage source intensity and location and accurately dividing the affected area of leakage gas can reduce the loss to the greatest extent. According to the diffusion model (Gao Si diffusion model in this paper) combined with the leakage source intensity and meteorological environmental parameters, the concentration of the lower wind leakage gas can be determined. Therefore, the rapid determination of leakage source strength is the basis of accident emergency rescue. For this reason, this paper has carried on the following work: 1. Based on Gao Si's smoke plume diffusion model, the research on the inverse calculation of the leakage source strength during the leakage of liquefied gas is carried out as follows: 1. The forward leakage and diffusion of liquefied gas (liquid chlorine) leakage under different hypothetical conditions are numerically simulated. 2. According to the characteristics of continuous leakage of liquefied gas, the continuous leakage of liquid chlorine storage tank is selected as an example. The leakage source strength inverse calculation is constructed and the model is solved. The calculated value of gas concentration is obtained by using Gao Si model, and the relation between the calculated value and the concentration measured by the monitor at the corresponding position is taken as the objective function. Combined with simplex search algorithm to optimize the objective function, determine the leakage gas source strength and specific location information. 3. Based on the powerful programming MATLAB software, combined with GUI interface design, The source strength is estimated according to the parameters of the measurement data and the model formula, and the inverse calculation of the source strength of the simplex search algorithm based on Gao Si's model is realized. The feasibility of the algorithm is analyzed when there are measurement errors in the monitoring data. This paper takes liquefied gas as the research object, uses MATLAB software to carry on the forward simulation to the leakage diffusion, and combines the simplex search algorithm programming to realize the source strength inverse calculation, the research conclusion is used as the theory foundation of the liquefaction gas leakage accident source strength inverse calculation. It also provides support for accident prediction and emergency rescue of liquefied gas leakage.
【學(xué)位授予單位】：哈爾濱理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TQ086
[Abstract]:In recent decades, chemical industry has been developing rapidly in our country. Liquefied gas energy is the fuel, raw material or processing auxiliary material used in chemical production. Its use, demand and transportation volume are also increasing year by year. However, accidents caused by accidents occur from time to time, and similar accidents are characterized by sudden and rapid diffusion. Once they occur, they may lead to a large number of personnel poisoning or casualties, resulting in significant property losses. Therefore, in the process of emergency rescue, quickly obtaining the information of leakage source intensity and location and accurately dividing the affected area of leakage gas can reduce the loss to the greatest extent. According to the diffusion model (Gao Si diffusion model in this paper) combined with the leakage source intensity and meteorological environmental parameters, the concentration of the lower wind leakage gas can be determined. Therefore, the rapid determination of leakage source strength is the basis of accident emergency rescue. For this reason, this paper has carried on the following work: 1. Based on Gao Si's smoke plume diffusion model, the research on the inverse calculation of the leakage source strength during the leakage of liquefied gas is carried out as follows: 1. The forward leakage and diffusion of liquefied gas (liquid chlorine) leakage under different hypothetical conditions are numerically simulated. 2. According to the characteristics of continuous leakage of liquefied gas, the continuous leakage of liquid chlorine storage tank is selected as an example. The leakage source strength inverse calculation is constructed and the model is solved. The calculated value of gas concentration is obtained by using Gao Si model, and the relation between the calculated value and the concentration measured by the monitor at the corresponding position is taken as the objective function. Combined with simplex search algorithm to optimize the objective function, determine the leakage gas source strength and specific location information. 3. Based on the powerful programming MATLAB software, combined with GUI interface design, The source strength is estimated according to the parameters of the measurement data and the model formula, and the inverse calculation of the source strength of the simplex search algorithm based on Gao Si's model is realized. The feasibility of the algorithm is analyzed when there are measurement errors in the monitoring data. This paper takes liquefied gas as the research object, uses MATLAB software to carry on the forward simulation to the leakage diffusion, and combines the simplex search algorithm programming to realize the source strength inverse calculation, the research conclusion is used as the theory foundation of the liquefaction gas leakage accident source strength inverse calculation. It also provides support for accident prediction and emergency rescue of liquefied gas leakage.
【學(xué)位授予單位】：哈爾濱理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TQ086
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 宗節(jié)保;段柳云;王瑩;段柳浠;李昕;;基于MATLAB GUI軟件制作方法的研究與實(shí)現(xiàn)[J];電子設(shè)計工程;2010年07期
2 袁雄軍;畢海普;周寧;任常興;王凱全;;危險化學(xué)品泄漏事故演化機(jī)理研究[J];工業(yè)安全與環(huán)保;2014年02期
3 丁信偉,王淑蘭,徐國慶;可燃及毒性氣體泄漏擴(kuò)散研究綜述[J];化學(xué)工業(yè)與工程;1999年02期
4 徐昕,賀漢根;神經(jīng)網(wǎng)絡(luò)增強(qiáng)學(xué)習(xí)的梯度算法研究[J];計算機(jī)學(xué)報;2003年02期
5 鄧金華,沈賢明,張保平,王建兵;Matlab在化學(xué)危險性氣體擴(kuò)散模擬分析中的應(yīng)用[J];中國安全生產(chǎn)科學(xué)技術(shù);2005年05期
6 關(guān)磊;魏利軍;吳宗之;劉驥;桑海泉;;基于人工神經(jīng)網(wǎng)絡(luò)的儲罐區(qū)泄漏源實(shí)時定位技術(shù)初步研究[J];中國安全生產(chǎn)科學(xué)技術(shù);2006年04期
7 張江華;趙來軍;吳勤e
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