Design of DODAF-based UAV health state assessment system

A drone health assessment system developed within the DODAF framework is presented, implementing comprehensive lifecycle Prognostics and Health Management (PHM) for intelligent drone maintenance through six integrated viewpoints. Within the All Viewpoint (AV), standardized terminology definitions are established to support multi-stakeholder collaboration scenarios. The Capability Viewpoint (CV) defines a three-tier functional architecture encompassing foundational, application, and decision layers. The Operational Viewpoint (OV) standardizes the end-to-end lifecycle workflow, covering processes from data acquisition to maintenance decision-making. The Systems Viewpoint (SV) coordinates the development of the technical infrastructure, while the Services Viewpoint (SeV) enables dynamic resource allocation and operational optimization. The Data and Information Viewpoint (DIV) establishes a comprehensive information ecosystem, integrating standardized data architecture with end-to-end governance protocols. Synergistic integration among these viewpoints is achieved through systematic requirements translation, precise information mapping, and adaptive feedback mechanisms. This integration results in an intelligent maintenance solution distinguished by extensive scenario coverage, complete technical implementation, and scalable service capabilities.