Paper
17 June 1996 From chemical agent alarm to fugitive vapor detection: development of a rugged commercial spectrometer
William E. Costello, Jo Ann Simonds, Suzanne Milchling
Author Affiliations +
Abstract
Intellitec, a division of Technical Products Group, Inc., is developing and testing a ruggedized commercial spectrometer for stable platform applications. This spectrometer design incorporates the key components utilized in the M21 remote sensing chemical agent alarm (RSCAAL). The spectrometer, which has a resolution of 4 wavenumbers (cm-1), can be used to remotely sense fugitive vapors with spectral features in the 8 - 12 micrometer region. Intellitec has initiated a parallel effort to complete the development of personal computer (PC) based vapor identification software. The spectrometer's detection capability was tested by placing small amounts of anhydrous hydrazine vapor in a cell positioned in front of a black body reference. The data collected from the spectrometer clearly showed characteristic spectral features of hydrazine vapor. A developmental set of hydrazine coefficients was generated for use with the vapor identification software utilized in the M21. The coefficients were programmed into the M21. The effectiveness of the coefficients in the M21 was then tested by attempting to detect hydrazine vapor contained in a cell positioned in front of a black body. The developmental coefficient set successfully detected the hydrazine vapor. Further testing is required to improve detection sensitivity and confirm the spectrometer's ability to detect these vapors in an open path environment.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William E. Costello, Jo Ann Simonds, and Suzanne Milchling "From chemical agent alarm to fugitive vapor detection: development of a rugged commercial spectrometer", Proc. SPIE 2763, Electro-Optical Technology for Remote Chemical Detection and Identification, (17 June 1996); https://doi.org/10.1117/12.243278
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KEYWORDS
Spectroscopy

Detection and tracking algorithms

Data conversion

Black bodies

Databases

Absorbance

Infrared radiation

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