Automated Shipboard Sailors and Environmental Sensing System (ASSESS) for Damage Response
Abstract
The proposed effort will develop a holistic shipboard cyber-physical system (CPS) that quantitatively measures and models ship damage and shipboard damage response processes in real-time to reduce uncertainty in damage response decision making, enhance damage control crew safety, and maximize ship resilience. The CPS architecture unifies data originating from the ship environment including computer vision and discrete environmental sensors embedded into the ship environment (e.g., compartments, equipment) with location and physiological health data originating from sensors worn by damage control crews. Digital twin models of the ship and its shipboard systems are integrated to unify real-time data collected from ASSESS with a digital twin model accurately representing ship spacesand systems. Data analysis is performed within the ASSESS architecture at the compartment- (i.e., edge) and shipboard-levels to quantify personnel activity, performance, and health in addition to measuring the real-time environmental conditions that relate to theobserved crew behavior and health. Data-driven computational methods, including machine learning, are core to the analytical framework given their descriptive and predictive capabilities in describing the rich range of interactions between damage control crews and their operational environments over the full lifecycle of damage events (from pre- to post-event). Decision support tools are additionally layered upon the automated data-driven analyses to rigorously model ship resilience pre-event and offer emergency response crews and ship command real-time, actionable information during damage that enhances the fight-through and survivability of the overall ship. To accelerate the adoption of the ASSESS solution for damage control in US Navy vessels, the project forges relationships with researchers at the Naval Surface Warfare Center and those associated with Self Defense Test Ship (former USS Paul F. Foster DD-964). Experimentalvalidation in realistic shipboard environments will also be adopted to validate improvements in damage control crew safety and efficiency.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 11, 2023
- Source ID
- N000142312799
Entities
People
- Jerome Lynch
Organizations
- Duke University
- Office of Naval Research
- United States Navy