Mini-DIAL system measurements coupled with multivariate data analysis to identify TIC and TIM simulants: preliminary absorption database analysis.

23rd AIVELA (the Italian Association of Laser Velocimetry and non invasive diagnostics) Annual Meeting 2015

Gaudio, P.^1 ; Malizia, A.^1 ; Gelfusa, M.^1 ; Martinelli, E.^2 ; Di Natale, C.^2 ; Poggi, L.A.^1 ; Bellecci, C.^3

Department of Industrial Engineering, University of Rome Tor Vergata, Faculty of Engineering, Rome

00133, Italy^1

Department of Electronic Engineering, University of Rome Tor Vergata, Faculty of Engineering, Rome

00133, Italy^2

Crati S.c.r.l. C/o Unical, Rende (CS), Italy^3

关键词: Absorption co-efficient;    Classification models;    Dial;    Differential absorption;    Experimental campaign;    Industrial components;    Multivariate data analysis;    Toxic industrial materials;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/778/1/012004/pdf
DOI  :  10.1088/1742-6596/778/1/012004

来源: IOP

【 摘 要 】

Nowadays Toxic Industrial Components (TICs) and Toxic Industrial Materials (TIMs) are one of the most dangerous and diffuse vehicle of contamination in urban and industrial areas. The academic world together with the industrial and military one are working on innovative solutions to monitor the diffusion in atmosphere of such pollutants. In this phase the most common commercial sensors are based on "point detection" technology but it is clear that such instruments cannot satisfy the needs of the smart cities. The new challenge is developing stand-off systems to continuously monitor the atmosphere. Quantum Electronics and Plasma Physics (QEP) research group has a long experience in laser system development and has built two demonstrators based on DIAL (Differential Absorption of Light) technology could be able to identify chemical agents in atmosphere. In this work the authors will present one of those DIAL system, the miniaturized one, together with the preliminary results of an experimental campaign conducted on TICs and TIMs simulants in cell with aim of use the absorption database for the further atmospheric an analysis using the same DIAL system. The experimental results are analysed with standard multivariate data analysis technique as Principal Component Analysis (PCA) to develop a classification model aimed at identifying organic chemical compound in atmosphere. The preliminary results of absorption coefficients of some chemical compound are shown together pre PCA analysis.