基于主动嗅觉的室内时变污染源定位方法

发布时间：2018-05-13 11:20

本文选题：室内环境 + 主动嗅觉　；参考：《解放军理工大学学报(自然科学版)》2016年03期

【摘要】：为了预防和控制因室内空间中时变污染源突然泄漏引发的中毒、火灾和爆炸等灾害,针对室内时变污染源的定位建立了室内时变污染源泄漏的计算流体动力学(CFD)模型,并采用粒子群智能搜索策略,基于移动机器人的主动嗅觉提出了不依赖初值、计算效率高的室内时变污染源定位方法。通过对室内二维通风房间内泄漏速率呈衰减特征的时变污染源的泄漏模拟与源定位分析,展示了室内时变污染源定位方法的可操作性和可行性。研究结果表明:基于移动机器人主动嗅觉的室内时变污染源定位方法能在污染源泄漏一定时间后成功确定污染源位置,并且随着移动机器人数量的增加,室内时变污染源定位的成功率也相应增加;因移动机器人个数的增加会导致收敛速度变慢,源定位时间呈先减少后增加的变化趋势。
[Abstract]:In order to prevent and control poisoning, fire and explosion caused by sudden leakage of time-varying pollution sources in indoor space, a computational fluid dynamics (CFD-C) model of indoor time-varying pollution source leakage was established for the location of indoor time-varying pollution sources. Based on the active olfaction of mobile robot, an efficient and efficient indoor time-varying pollution source location method is proposed based on the particle swarm intelligent search strategy. Based on the leakage simulation and source location analysis of the time-varying pollution sources with attenuation characteristics in the indoor two-dimensional ventilation room, the maneuverability and feasibility of the indoor time-varying pollution source location method are demonstrated. The results show that the indoor time-varying pollution source location method based on mobile robot active olfaction can successfully determine the pollution source location after a certain time of pollution source leakage, and with the increase of the number of mobile robots. The success rate of indoor time-varying pollution source location also increases correspondingly, because the number of mobile robots will cause the convergence speed to slow down, and the source location time decreases first and then increases.
【作者单位】：解放军理工大学爆炸冲击防灾减灾国家重点实验室;
【基金】：国家自然科学基金资助项目(51478468) 国家重点基础研究发展计划资助项目(2015CB058000) 江苏省自然科学基金资助项目(BK20131067)
【分类号】：X830

【相似文献】