This article focuses on designing a digital system for managing the maintenance and support of aviation equipment. From the perspective of maintenance and support elements， operations， means， modes， and other maintenance and support data twin models， based on typical applications， data preprocessing， equipment strength analysis， status analysis， support resource status analysis， task matching， and other data perception and analysis models are constructed to explore precise equipment status judgment， comprehensive fault diagnosis， and life prediction management. The application of intelligent algorithms such as maintenance intelligent decision-making forms the overall technical architecture of the digital system for aviation equipment maintenance and support management， providing technical reference for digital maintenance and support.