基于云雾协同的智慧风电机组状态全方位实时感知平台设计
Design of a Smart Wind Turbine State Omni directional Real-time Perception Platform Based on Cloud and Mist Collaboration
刘小春 1谭明亮 1文言 1杨东升 1王永淳 1李卓 1陈光荣 1罗毅 1张业凯 1邓龙宇 1马智1
作者信息
- 1. 大唐贵州发电有限公司新能源分公司,贵州 556300
- 折叠
摘要
阐述设计的一种基于云雾协同的智慧风电机组状态全方位实时感知平台,根据风电机组设备的运行特征,结合云雾协同分析方法,确定风电机组状态全方位实时感知平台的基本架构.应用无量纲预处理方法,采集处理风电机组状态特征信号,完成云端、雾端部署.引入深层卷积神经网络,实现风电机组状态的实时监测与感知.
Abstract
This paper describes the design of a smart wind turbine state all-round real-time perception platform based on cloud and fog collaboration.Based on the operational characteristics of wind turbine equipment and combined with cloud and fog collaboration analysis methods,the basic architecture of the wind turbine state all-round real-time perception platform is determined.It applies dimensionless preprocessing methods to collect and process wind turbine state characteristic signals,and completes cloud and fog deployment.Introducing deep convolutional neural networks to achieve real-time monitoring and perception of wind turbine status.
关键词
云雾协同算法/智慧电厂/风电机组状态/实时感知平台Key words
cloud and fog collaborative algorithm/smart power plant/wind turbine status/real-time perception platform引用本文复制引用
出版年
2024
NETL
NSTL
万方数据