基于人工智能的发动机运维支持数据管理方法研究
Research on the Data Management Method of Engine Operation and Maintenance Support Based on Artificial Intelligence
刘刚1
作者信息
- 1. 安徽容知日新科技股份有限公司,合肥 230000
- 折叠
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.
Abstract
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.
关键词
人工智能/数据管理/发动机/运维支持Key words
artificial intelligence/data management/engine/operation support引用本文复制引用
出版年
2024
NETL
NSTL
万方数据