机译:理想传感器快速识别多个室内恒定污染物源:理论模型和数值验证
State Key Laboratory of Explosion & Impact and Disaster Prevention & Mitigation, PLA University of Science and Technology, Nanjing, P.R. China,Department of Building Science, School of Architecture, Tsinghua University, Beijing, P.R. China;
Department of Building Science, School of Architecture, Tsinghua University,Beijing 100084, P.R. China;
State Key Laboratory of Explosion & Impact and Disaster Prevention & Mitigation, PLA University of Science and Technology, Nanjing, P.R. China;
Nanjing Artillery Academy, Nanjing, P.R. China;
Source identification; Contaminant source; Indoor environment; Computational fluid dynamics (CFD); Air distribution;
机译:通过考虑传感器阈值和测量误差来识别多个室内污染物源的快速模型
机译:在未知释放时间的室内环境中快速识别多种持续释放的污染物源
机译:基于污染物源神经网络定位器和优化传感器网络的室内污染物源位置实时识别
机译:通过考虑实际传感器特性,以已知的释放时间识别多个室内污染物源的快速模型
机译:使用基于概率的逆建模方法识别室内空气污染物源。
机译:快速识别室内环境中多个持续释放的污染物源释放时间未知
机译:基于污染物源神经网络定位器和优化传感器网络的室内污染物源位置实时识别