基于人工智能技术的飞机健康状态数据管理方法研究

中图分类号：TP18 文献标志码：A 文章编码：1672-7274（2025）04-0040-03

Abstract：This article studies the problems and related technical requirements in the current management of aircraft health status data were summarized.Then，from the aspects of data collection and preprocessing，data storage and management，data processing andanalysis，visual display，and human-computer interaction，distributed storage technology， database management system （DBMS），data mining，and machine learning algorithms were adopted to achieve centralized management，eficient processing，and intelligentanalysis ofircraft health status data.Theaimof this study is to provide theoretical reference and technical support for practitioners in related industries.

Keywords：artificial intelligence; aircraft health status; data management

随着传感器技术、物联网技术和人工智能技术的飞速发展，飞机健康状态数据管理逐渐成为飞机维护和保障领域的研究热点。（剩余4748字）