Title :
A fast model to identify multiple indoor contaminant sources with known releasing time by considering real sensor characteristics
Author :
Hao Cai ; Lingjuan Kong ; Xianting Li ; Xiaoliang Shao
Author_Institution :
Eng. Inst. of Eng. Corps, PLA Univ. of Sci. & Technol., Nanjing, China
Abstract :
A theoretical model was presented for quickly identifying multiple indoor constant contaminant sources with known releasing time by considering the sensor thresholds and measurement errors. The model was numerically demonstrated and validated by case studies. The results indicated that the model can potentially be effective with high sensor thresholds and measurement errors. This study will contribute to developing source identification techniques using real sensors.
Keywords :
chemical sensors; contamination; measurement errors; indoor constant contaminant source identification; measurement errors; releasing time; sensor thresholds; Atmospheric modeling; Computational fluid dynamics; Computational modeling; Mathematical model; Measurement errors; Numerical models; Pollution measurement; Computational fluid dynamics; Sensor; contaminant source; indoor environment; source identification;
Conference_Titel :
Materials for Renewable Energy and Environment (ICMREE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-3335-8
DOI :
10.1109/ICMREE.2013.6893752
