基于改进PSO算法的室内时变污染源定位方法

TIME-VARIANT CONTAMINANT SOURCE LOCALIZATION METHOD BASED ON CHANGED PSO ALGORITHM IN INDOOR ENVIRONMENT

室内污染源泄漏灾害预防是室内环境和公共安全等领域亟待解决的重要问题。快速定位室内污染源的位置是有效实施污染源控制的前提条件,也是进一步指导人员疏散和应急救援的关键依据。室内污染源因位置和释放强度的变化使得室内污染源形式繁多,而当前室内污染源定位研究主要集中在释放强度恒定的污染源上,针对释放强度时变的污染源定位研究较少。因此,提出了利用改进的粒子群智能搜索策略,基于主动嗅觉定位室内时变污染源的方法。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,表明了室内时变污染源定位方法的可操作性和可行性。

Indoor contaminant source leaking disaster prevention became an urgent important issue of indoor environment and public safety fields. Quickly locating the position of indoor contaminant source was a prerequisite for the effective implementation of source control,as well as the key basis for further guidance evacuation and emergency rescue. Indoor contaminant source had many forms due to changes in the position and release intensity. The research of indoor contaminant source localization focused on the release of constant intensity source at present,and studied of contaminant source localization of varying release intensity only few. Therefore,the changed PSO search strategy was proposed when locating indoor timevariant contaminant source based on active olfaction. The leakage simulation and source localization analysis of indoor decaying contaminant source in two-dimensional ventilation room was provided to demonstrate the practicability and viability of the proposed indoor time-variant contaminant source localization methodology.