Teledyne
Gavia ehf has produced the Gavia autonomous underwater vehicle (AUV) for a
variety of roles to include maritime survey, salvage, defense, and search and
rescue (SAR) missions. This underwater
platform provides useful capabilities for operators to conduct searches for
stricken vessels, aircraft, and victims.
The Gavia was recently deployed in such a role in the December 2014
international effort to locate Indonesia AirAsia Flight 8501 (Rossi, 2015).
A
prioproceptive sensor suite specifically designed for the maritime environment
that is fielded on the Gavia AUV is an inertial navigation system (INS) aided
by Doppler velocity log (DVL) technology (Teledyne Gavia ehf, 2015). An INS navigates by starting from a known
position, orientation, and velocity.
Instruments track the position and orientation of the vehicle from the
known starting point. However, INS
become more inaccurate over time and distance due to noise perturbing signals
in instruments, such as gyroscopes, inducing drift (Woodman, 2007, p.
3-5). A DVL uses bottom tracking algorithms
to provide high rate, high precision data to supplement the INS and
significantly reduce the errors caused by drift (Teledyne RDI, 2013). An exteroceptive sensor specifically designed
for the maritime environment that is fielded on the Gavia AUV is a side-scan
sonar system. This sonar system is
specifically designed to use higher frequencies to produce high resolution
images. The imagery resolution is
sufficient to identify details such as vessel shapes or human forms (NOAA,
2015). This capability would be very
useful in SAR operations.
An
improvement that would make the Gavia AUV more successful in SAR missions would
be a higher capacity battery module.
Currently, two battery modules are used on the vehicle to provide an
endurance of approximately eight hours (Teledyne Gavia ehf, 2015). The ability to provide continuous operation
during a SAR mission is extremely useful.
Ocean currents can move wreckages of vessels or aircraft far from the
point at which they initially foundered or crashed. An increased endurance time will increase the
probability of the AUV to locate wreckage sooner before it can drift further
and increase the difficulty of search operations. The probability of locating living victims also
decreases as time passes. The ability to
remain on station for longer periods would provide increased probability of
locating victims in time for rescue and medical aid. An improved battery module featuring
increased endurance would greatly assist these efforts.
An
unmanned aerial system (UAS) could be deployed in conjunction with an AUV to
aid in a SAR mission. An aerial platform
can search a large area in a relatively short period of time traveling at
higher speeds and scanning from a higher vantage point. A UAS such as the Boeing/Insitu ScanEagle
has a service ceiling of 15,000 feet, cruising speed of 50 knots, and an
endurance of 24 hours (Insitu, 2013). By
comparison, the Gavia AUV has an endurance of approximately 8 hours and a speed
of approximately 5.5 knots. The
side-scan sonar on the AUV has a range between 6.5 to 131 feet (Teledyne Gavia
ehf, 2015). The ScanEagle would be able
to search a wide area but cannot search beneath the sea surface. The Gavia can detect minute details but
cannot feasibly search a wide area due to the limitations of its speed and
range of its sensors. A UAS and AUV
operating in conjunction could be applied to the example of the search and
recovery efforts for Air France Flight 447.
The debris field of the aircraft was spotted on the ocean surface, leading
search teams to eventually locate the wreckage on the sea floor (Associated
Press Staff, 2009). A UAS would search a
wide area for clues such as a debris field.
Once located, an AUV would be deployed for a closer inspection.
AUVs
also possess some advantages over their manned counterparts. A manned submersible must include
accommodations for crewmembers and associated support equipment in its
design. These requirements increase the
dimensions and weight of the vehicle and reduce the capacity for payload and
fuel. A manned submersible is also
limited in endurance by the oxygen supply available for its crew. An AUV can devote space, that otherwise would
be used to accommodate crewmembers, to additional payload and fuel/power
supply. An AUV can also be designed in a
smaller, compact overall size that would facilitate transportability to
operating areas. A smaller vehicle would
also be more maneuverable in tighter spaces, such as underwater caverns or
inside a shipwreck. An AUV would also
not be limited by oxygen supply for crewmembers. The limitations on an unmanned vehicle’s
endurance would be determined by fuel or power supply. The equipment dedicated to supporting
crewmembers on manned platforms can also cause interference with sensors such as
sonar (Vexilar, 2015). An AUV, lacking
such equipment, would be less prone to be affected by such interference to its
sensors.
The Teledyne Gravia ehf Gravia AUV is a suitable platform to conduct SAR and search and recovery missions. The performance specifications and sensor suites of the platform provide extremely useful capabilities to search teams. Manned platforms still have a role in SAR missions. However, unmanned platforms provide a powerful resource to augment this important mission.
References:
Associated Press
Staff. (2009, June 2). Debris Confirms Crash of Air France Flight
447. NBC News. Retrieved from http://www.nbcnews.com/id/31057560/ns/world_news-americas/t/debris-confirms-crash-air-france-flight/#.VjaOEG5cTkM
Insitu. (2013).
ScanEagle System [Fact
Sheet]. Retrieved from http://www.insitu.com/systems/scaneagle
National Oceanographic
and Atmospheric Administration (NOAA).
(2015). Side Scanning Sonar
[Fact Sheet]. Retrieved from http://www.nauticalcharts.noaa.gov/hsd/SSS.html
Rossi, M. (2015, January 6). Teledyne Gavia AUV to Aid in Search for
AirAsia Flight QZ8501
[Press
Release]. Retrieved from https://teledynemarinesystems.com/news_and_events/press_release_view/teledyne-gavia-auv-to-aid-in-search-for-airasia-flight-qz8501
Teledyne Gavia
ehf. (2015). Gavia
AUV [Fact Sheet]. Retrieved from http://www.teledynegavia.com/product_dashboard/auvs
Teledyne RD
Instruments. (2013). Workhorse
Navigator Doppler Velocity Log [Fact Sheet]. Retrieved
from http://www.rdinstruments.com/navigator.aspx
Vexilar Inc. (2015).
Solving Sonar Interference
[Fact Sheet]. Retrieved from http://www.vexilar.com/blog/2014/08/28/solving-sonar-interference
Woodman, O. (2007).
An Introduction to Inertial
Navigation (ISSN 1476-2986).
Retrieved from
University of Cambridge Computer Laboratory website: https://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-696.pdf
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