D. Caravaglia
dataDroid, Florida, United States
Keywords: Aircraft Maintenance, Predictive Analytics, MRO, Ontology, Semantics
dataDroid is a graph-based MRO (Maintenance, Repair, and Overhaul) platform designed to optimize aircraft maintenance through predictive analytics, real-time data tracking, and advanced ontology integration. The platform automates the management of aviation components, aircraft, technicians, and maintenance schedules, delivering insights that minimize costs and downtime. Maintenance can account for 40% of an airline’s total budget, with each aircraft containing over 10,000 components that require constant management and oversight. dataDroid's version 1 prototype includes capabilities that can be adapted to address key challenges, such as monitoring critical components, tracking flight hours, and proactively triggering maintenance events when necessary. The platform's graph-based interface visualizes relationships between parts, aircraft, technicians, and maintenance events, providing better oversight and control of maintenance operations. Future iterations will integrate ontologies to enhance reasoning capabilities, enabling dataDroid to interpret complex relationships and support more advanced decision-making. With its real-time data insights and predictive maintenance capabilities, dataDroid offers dual-use value for both civilian airlines and defense applications, transforming traditional MRO processes into proactive, data-driven systems that improve fleet readiness and reduce operational costs