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Remote Automated Monitoring Systems
The establishment of a database designed to support systems
engineering and field applications of Remote Automated Monitoring
Systems (RAMS) can play a critical role in expediting the development
and acceptance of multi-sensor monitoring equipment – particularly as
micro- and nano-technologies mature. The AMSI RAMS database emphasizes
base measurement technologies from which components and instruments are
detailed in order to support intelligent rapid systems applications
development for RAMS engineering and field applications. The database
architecture also supports data collection, display, visualization,
integration and analysis functions that are critical in transforming
measurement data into useful information critical for customer needs,
RAMS implementation and test evaluations. The database supports RAMS
rapid application development and the reporting of decision-quality data
critical to new customer applications in areas such as infrastructure
protection, combating terrorism, intelligence surveillance, treaty
monitoring, drug interdiction, and environmental monitoring (including
NTS concerns).
Background
Emphasis in populating the database will be placed on chemical
microsensor-based systems because there is an urgent need for
fully-integrated, remote, automated chemical detection systems. This
DT&E area is a most challenging because sensor- and data-fusion combined
with automated data analysis for providing end-users with quality rapid
decision-making information is synergistic and critical, but immature.
A key to expediting RAMS development is a database that supports
sensor fusion. The database allows entries that delineate sensitivity,
selectivity/specificity, known interfering chemical species, physical
characteristics, cost, and maintenance requirements of both relevant
commercially available sensors as well as emerging sensors
(scientifically and technically proven, but not fully engineered or
characterized). Search and Browse functions assist users in navigating
the database for information, designing RAMS, etc.
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