基于GA-PS的三维空间源项反演算法

GA-PS Based Three-dimensional Space Source Inversion Algorithm

针对当前化学危害事件中的危害源定位及源强反算仍以二维平面为主的现状,在分析高维度源项反演寻优特性基础上,利用多参数条件下遗传算法全局寻优和模式搜索算法局部寻优性能优势,提出一种基于遗传算法-模式搜索算法的改进遗传模式搜索算法。仿真实验结果表明,该算法利用一组地面或空中探测器在三维空间中采集到的危害物质浓度数据,能够实现对危害源三维空间定位和源强反算。通过SF_(6)外场试验实测数据的反算求解,验证了该算法能够实现对大气环境稳定条件下的危害源空间位置、源强的有效反算,反算精度在30%以内。

In response to the current dominance of hazard source location and source intensity inverse calculation in chemical hazards being confined to the two-dimensional plane,this study focuses on high-dimensional source inversion optimization characteristics.To address this limitation,we propose the Modified Genetic Algorithm and Pattern Search algorithm based on Genetic Algorithm-Pattern Search Algorithm,utilizing genetic algorithms for global optimization and leveraging the pattern search algorithm's local optimization performance.The simulation results show that the algorithm can realize the three-dimensional spatial location of the hazard source and the inverse calculation of the source intensity using the concentration data of hazardous substances from a group of ground or air detectors in the three-dimensional space.Through inverse calculation of the measured data of the SF_(6) field experiment,it is verified that the algorithm can realize effective inverse calculation of the spatial location and source intensity of the hazard source under stable atmospheric conditions,achieving an inverse calculation accuracy within 30%.