摘要
化工生产安全事故往往会导致有害气体泄漏,造成严重环境破坏和人员伤亡。快速掌握泄漏源源项信息,可以辅助应急处置决策,减小事故危害性,研究利用Entrotaxis寻源算法在化工园区场景下,引导地面寻源设备快速、自主移动到泄漏源附近,并掌握源项信息。针对化工园区场景特点,结合Entrotaxis算法和间歇性搜索策略,提出Entrotaxis-Jump算法,并选取上海某化工厂区进行案例分析,利用Matlab平台进行了仿真实验。结果表明,提出的Entrotaxis-Jump算法比原Entrotaxis算法在化工园区场景下寻源成功率提高了37%,平均寻源时间减小了大约7步。
Chemical production safety accidents often lead to harmful gas leakage, causing serious environmental damage and casualties. Mastering the information of leaking source quickly can assist in emergency disposal decisions and reduce the harm of accidents. In this paper, Entrotaxis algorithm is used to guide the ground source seeking equipment to move to the vicinity of the leaking source quickly and autonomously in a chemical park scene, and to master the source information. According to the characteristics of the chemical industry park scene, this paper applies intermittent search module into Entrotaxis algorithm and proposes a robust and suitable algorithm(Entrotaxis-Jump algorithm). On this basis, a case study of a chemical plant in Shanghai is selected to carry out a simulation experiment using the Matlab.The results show that the Entrotaxis-Jump algorithm increases the success rate of sources seeking in this scenario by 37%, and reduces the average search time by around 7 steps.
作者
赵勇
陈彬
王小东
朱正秋
王戎骁
邱晓刚
Zhao Yong;Chen Bin;WangXiaodong;Zhu Zhengqiu;Wang Rongxiao;QiuXiaogang(College of Systems Engineering,National University of Defense Technology,Changsha 410073,China;Navy Factory 902,Shanghai 200083,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2019年第12期2810-2815,共6页
Journal of System Simulation
基金
国家重点研发计划重点专项资金(2018YF C0806900)
国家自然科学基金(71673292,71673294)
国家社会科学基金(17CGL047)
关键词
有害气体
粒子滤波
对流扩散方程
寻源算法
harmful gas
particle filter
advection-diffusion model
source seeking algorithm
