The United States Navy is committed to implementing and using unmanned vehicles (UVs). Battlegroups have deployed and will continue to deploy with UVs because of their potential effectiveness. However, current UV doctrine does not set forth a standardized set of techniques and procedures for UV information exchange during maritime missions. The focus of this study is to analyze the structure of information flow for unmanned systems and suggest an exchange architecture to successfully inform and build decision maker understanding based on data from UVs in support of these missions. Through analysis of the knowledge-information-data (KID) model, and definition of high level functions and tasks created from fleet input, this thesis develops an IDEF0 and PERT representation. It outlines tasks and roles for successfully accomplishing information exchange from UV payload sensors to tactical decision makers. The study concludes with suggested measures of effectiveness and performance to determine the strength and validity of the architecture.
Information Exchange Architecture for Integrating Unmanned Vehicles into Maritime Missions
2004
55 pages
Report
Keine Angabe
Englisch
Computer Software , Marine Engineering , Information exchange , Tactical data systems , Integrated systems , Decision making , Data management , Naval vessels , Theses , Unmanned , Naval operations , Remote detection , Measures of effectiveness , Knowledge management , Export control , Kid(Knowledge-information-data) , Uv(Unmanned vehicles)
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