摘要
在机械技术快速发展的背景下,提高发动机运维支持的智能化水平成为必然趋势。人工智能技术通过机器学习算法、神经网络实现数据管理工艺的优化,提高了发动机故障诊断和预测性维护的精准度。文章研究基于人工智能的发动机运维支持数据管理方法,探讨智能传感器网络、云计算平台及深度学习算法在数据采集、存储、处理与反馈中的应用,以期提高发动机运维效率,推动发动机运维技术的智能化发展。
Under the background of rapid development of mechanical technology,it has become an inevitable trend to improve the intelligent level of engine operation and maintenance support.Artificial intelligence technology realizes the optimization of data management process through machine learning algorithm and neural network,and improves the accuracy of engine fault diagnosis and predictive maintenance.This paper studies the data management method of engine operation and maintenance support based on artificial intelligence,discusses the application of intelligent sensor network,cloud computing platform and deep learning algorithm in data acquisition,storage,processing and feedback,in order to improve the efficiency of engine operation and maintenance and promote the intelligent development of engine operation and maintenance technology.
作者
刘刚
LIU Gang(Anhui Rongzhi Rixin Technology Co.,Ltd.,Hefei 230000)
出处
《现代制造技术与装备》
2024年第9期62-65,共4页
Modern Manufacturing Technology and Equipment
关键词
人工智能
数据管理
发动机
运维支持
artificial intelligence
data management
engine
operation support