| 廖正中,苏晓娅,秦林波,韩军.基于麻雀搜索算法的甲烷泄漏事故反演方法[J].火灾科学,2025,34(3):228-238. |
| 基于麻雀搜索算法的甲烷泄漏事故反演方法 |
| Inversion method of light hazardous chemical gas leakage accident based on the sparrow search algorithm |
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| DOI：10.3969/j.issn.1004-5309.2025.03.07 |
| 基金项目:湖北省重点研发计划项目(2021BCA151) |
| 作者 | 单位 | | 廖正中 | 1.武汉科技大学资源与环境工程学院,武汉,430081 | | 苏晓娅 | 1.武汉科技大学资源与环境工程学院,武汉,430081 | | 秦林波** | 1.武汉科技大学资源与环境工程学院,武汉,430081
2.湖北省工业安全工程技术研究中心,武汉,430081 | | 韩军 | 1.武汉科技大学资源与环境工程学院,武汉,430081
2.湖北省工业安全工程技术研究中心,武汉,430081 |
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| 中文关键词: 甲烷 泄漏事故 扩散模型 反演定位 麻雀搜索算法(SSA) |
| 英文关键词:Methane Leakage accident Diffusion model Inversion positioning Sparrow Search Algorithm (SSA) |
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| 中文摘要: |
| 危化气体泄漏事故时常发生,准确、快速地寻找到泄漏源坐标和预估源强是处理危化品突发泄漏事故的关键。针对传统寻找泄漏源方法精度较低、耗时较长等问题,提出了一种基于麻雀搜索算法的甲烷泄漏事故反演方法。此方法将单点气体浓度探测器得到的气体浓度数据与危化气体扩散模型计算结果之间的误差作为优化目标,将甲烷泄漏扩散事故寻源问题转化为优化目标反演最小化问题,采用该算法作为优化工具求解此问题,并与鸡群优化算法反演计算结果进行对比。结果显示,在武汉某化工厂事故算例中,使用麻雀搜索算法反演定位确定甲烷气体泄漏源位置坐标(x、y、z)和源强(Q)精度分别达到±1.0 m、±1.5 m、±0.2 m,±0.5 kg/s;存在遮挡条件下,SSA反演x位置平均误差为3.926 m,y 位置平均误差5.199 m,反演精度远高于鸡群优化算法。 |
| 英文摘要: |
| Hazardous chemical gas leakage accidents often occur in various industries, and the rapid and precise determination of the coordinates and source strength of such leaks is essential for responding to and managing these kinds of incidents. To address the shortcomings of traditional leak-source identification methods, such as time-consuming processes and low accuracy, this study introduces a hazardous-chemical gas-leakage incident inversion method based on the Sparrow Search Algorithm (SSA). This method uses the errors between gas concentration data from single-point gas concentration detectors and calculations from chemical gas dispersion models as optimization objectives. It transforms the inversion problem for chemical gas leakage dispersion incidents into an optimization problem aimed at minimizing the errors. The SSA is employed as the optimization tool to solve this problem, and the results are compared with those obtained using the Chicken Swarm Optimization (CSO). In this paper, the results indicate that the SSA significantly improves the precision of locating and determining the coordinates (x, y, z) and the source strength (Q) of chemical gas leaks, achieving accuracies of ±1.0 m, ±1.5 m, ±0.2 m, and ±0.5 kg/s, respectively. Under obstructed conditions, the average error in SSA x positions is 3.926 meters, and the average error in y positions is 5.199 meters. This inversion accuracy surpasses that achieved using the CSO. |
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