The EchoBoat-240 is a professional-grade unmanned surface vessel developed for hydrographic survey applications. Its robust platform integrates the highest-resolution instrumentation suites available on the market today. With autonomous and remote-control capabilities, hydrographic surveys can be performed in challenging environments more efficiently than with a large, crewed vessel. Perform hydrographic data missions safely and confidently with this highly-maneuverable remote survey platform.
The EchoBoat-240™ is an unmanned surface vehicle developed for hydrographic survey applications requiring the highest-resolution sensor suite available. With the EchoBoat-240 platform, the user does not have to sacrifice performance to meet payload capacity. This is a highly mobile survey platform featuring multi-payload capacity, both manual and autonomous control, and interchangeable sensor suites.
While underway, the vehicle can be monitored within line-of-sight range, with over-the-horizon monitoring possible when running additional hardware. All data is stored via an onboard PC with a direct cable connection. Full equipment contol and data aquisition is accomplished with a remote data link. Switching from autonomous to remote control on the survey boat is easy using a long range remote control unit (RCU) that offers up to 2km range, with a survey endurance of over six hours on a single charge.
For professional hydrographic survey requirements, the EchoBoat-240™ may be tailored to individual customer requirements. The boat may be purchased with the desired sensor payload pre-installed, or supplied ready to accept existing equipment from the user’s survey equipment pool. Similarly, customized cabling can be included, allowing the boat to accept existing GPS, GNSS, and RTK positioning systems. For a turnkey survey-grade system, the EchoBoat-240™ can be outfitted with singlebeam, multibeam, and side scan sonar systems.
The EchoBoat-240™ is compatible with hydrographic data acquisition software such as Hypack,PDS2000, EIVA and QINSy.
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