Multisensor analyzer detector (MSAD) for low cost chemical and aerosol detection and pattern fusion

David C. Swanson; Daniel W. Merdes; Daniel B. Lysak Jr.; Richard C. Curtis; Derek C. Lang; Andrew F. Mazzara; Nicholas C. Nicholas

doi:10.1117/12.479312

14 August 2002 Multisensor analyzer detector (MSAD) for low cost chemical and aerosol detection and pattern fusion

David C. Swanson, Daniel W. Merdes, Daniel B. Lysak Jr., Richard C. Curtis, Derek C. Lang, Andrew F. Mazzara, Nicholas C. Nicholas

Author Affiliations +

Proceedings Volume 4708, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Defense and Law Enforcement; (2002) https://doi.org/10.1117/12.479312
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

MSAD is being developed as a low-cost point detection chemical and biological sensor system designed around an information fusion inference engine that also allows additional sensors to be included in the detection process. The MSAD concept is based on probable cause detection of hazardous chemical vapors and aerosols of either chemical or biological composition using a small portable unit containing an embedded computer system and several integrated sensors with complementary capabilities. The configuration currently envisioned includes a Surface-Enhanced Raman Spectroscopy (SERS) sensor of chemical vapors and a detector of respirable aerosols based on Fraunhofer diffraction. Additional sensors employing Ion Mobility Spectrometry (IMS), Surface Acoustic Wave (SAW) detection, Flame Photometric Detection (FPD), and other principles are candidates for integration into the device; also, available commercial detectors implementing IMS, SAW, and FPD will be made accessible to the unit through RS232 ports. Both feature and decision level information fusion is supported using a Continuous Inference Network (CINET) of fuzzy logic. Each class of agents has a unique CINET with information inputs from a number of available sensors. Missing or low confidence sensor information is gracefully blended out of the output confidence for the particular agent. This approach constitutes a plug and play arrangement between the sensors and the information pattern recognition algorithms. We are currently doing simulant testing and developing out CINETs for actual agent testing at Edgewood Chemical and Biological Center (ECBC) later this year.

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David C. Swanson, Daniel W. Merdes, Daniel B. Lysak Jr., Richard C. Curtis, Derek C. Lang, Andrew F. Mazzara, and Nicholas C. Nicholas "Multisensor analyzer detector (MSAD) for low cost chemical and aerosol detection and pattern fusion", Proc. SPIE 4708, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Defense and Law Enforcement, (14 August 2002); https://doi.org/10.1117/12.479312

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KEYWORDS

Sensors

Aerosols

Chemical analysis

Spectroscopy

Surface enhanced Raman spectroscopy

Biological detection systems

Information fusion

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