基于MATLAB的液化气体源强反算研究

发布时间：2018-09-19 21:23

【摘要】：近几十年，化工行业在我国如春笋般迅猛发展，液化气体能源是化工生产中所要用到的燃料、原材料或是加工辅料，它的使用、需求及运输量也再逐年递增。但由于意外导致泄漏的事故时有发生，而类似事故具突发性强，扩散迅速等特点，一旦发生就有可能导致大量的人员中毒或伤亡，造成重大的财产损失。因此，在应急救援过程中，快速获得泄漏源强度和位置信息，准确划分泄漏气体的影响区域，能够在最大程度上减少损失。受影响区域范围的划分，可根据扩散模型(本文采用高斯扩散模型)结合泄漏源强度、气象环境参数等确定出下风向泄漏气体的浓度。因此，快速确定泄漏源强度的是事故应急救援的基础。为此，本文针对液化气体泄漏时泄漏源强反算研究进行了如下工作： 1．以高斯烟羽扩散模型为理论基础，对不同假设条件下的的液化气体(液氯)泄漏正向泄漏扩散进行了数值模拟。 2．针对液化气体连续泄漏的特点，选择液氯储罐连续泄漏为例，构建泄漏源强反算并对模型进行求解。利用高斯模型得到气体浓度的计算值，与对应位置处监测器监测到的浓度值间的一定关系作为目标函数。结合单纯形搜索算法使目标函数最优化，确定泄漏气体源强和具体位置信息。 3．以编程功能强大的MATLAB软件为基础，，结合GUI进行界面设计，根据测量数据与模型公式中的参数估算出源强值，实现基于高斯模型为正向扩散模型的单纯形搜索算法源强反算，并分析在监测数据存在测量误差时，算法的可行性。本文以液化气体为研究对象，应用MATLAB软件对泄漏扩散进行了正向模拟并结合单纯形搜索算法编程实现源强的反算，研究结论作为液化气体泄漏事故的源强反算理论基础，同时也为液化气体泄漏的事故预测和应急救援提供支持。
[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.
【学位授予单位】：哈尔滨理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TQ086

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