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突发污染源散发特性辨识与仿真研究(英文)
引用本文:常海娟,庞丽萍,曲洪权,王浚. 突发污染源散发特性辨识与仿真研究(英文)[J]. 系统仿真学报, 2010, 0(9)
作者姓名:常海娟  庞丽萍  曲洪权  王浚
作者单位:1. 北京航空航天大学航空科学与工程学院,北京100191;
2. 北方工业大学信息工程学院,北京100041;
摘    要:在载人航天器、潜艇、飞机等密闭微环境中,如果发现有污染源存在,确定污染源的位置及其散发特性具有重要意义。笔者提出一种新型的浓度离散随机模型,在采用敏感性分析方法实现污染源定位后,利用隐式与显式卡尔曼滤波相结合的方法实现污染源散发特性的动态辨识与预测,同时完成空气污染物浓度预测。笔者采用蒙特卡罗仿真实验方法对一密闭空间进行了动态仿真研究,仿真结果表明提出的方法可以实现污染源散发特性的快速准确辨识,具有重要的应用价值。
Abstract:
In case of contaminants appear in enclosed spaces such as spacecraft,submarine,aircraft and so on,it is useful to find the contaminant source. A novel algorithm was proposed to identify contaminant source strength based on finite sensors. After having identified the source location by using the Sensitivity Analysis Algorithm (SAA),this method built a new discrete concentration stochastic model,and combined implicit and explicit Kalman filter. Monte Carlo simulation was used in our experiment. The simulation results show that the new method could track and predict the source strength dynamically; meanwhile,it also could predict the distribution of contaminant concentration.

关 键 词:污染源辨识  卡尔曼滤波  浓度预测  离散随机模型  蒙特卡罗仿真

Simulation Study on Contaminant Source Identification
CHANG Hai-juan,PANG Li-ping,QU Hong-quan,WANG Jun. Simulation Study on Contaminant Source Identification[J]. Journal of System Simulation, 2010, 0(9)
Authors:CHANG Hai-juan  PANG Li-ping  QU Hong-quan  WANG Jun
Abstract:In case of contaminants appear in enclosed spaces such as spacecraft,submarine,aircraft and so on,it is useful to find the contaminant source. A novel algorithm was proposed to identify contaminant source strength based on finite sensors. After having identified the source location by using the Sensitivity Analysis Algorithm (SAA),this method built a new discrete concentration stochastic model,and combined implicit and explicit Kalman filter. Monte Carlo simulation was used in our experiment. The simulation results show that the new method could track and predict the source strength dynamically; meanwhile,it also could predict the distribution of contaminant concentration.
Keywords:source identification  Kalman filter  concentration prediction  discretized concentration stochastic model  Monte Carlo simulation
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