基于人工智能技術(shù)的飛機(jī)健康狀態(tài)數(shù)據(jù)管理方法研究

中圖分類號(hào)：TP18 文獻(xiàn)標(biāo)志碼：A 文章編碼：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

隨著傳感器技術(shù)、物聯(lián)網(wǎng)技術(shù)和人工智能技術(shù)的飛速發(fā)展，飛機(jī)健康狀態(tài)數(shù)據(jù)管理逐漸成為飛機(jī)維護(hù)和保障領(lǐng)域的研究熱點(diǎn)。（剩余4748字）