摘要
文章提出一种基于云计算和物联网的风力发电智能监测系统。采用Hadoop云计算技术满足风力发电海量数据可靠存储和有效管理的需要,并利用Zig Bee技术、物联网技术、无线传感器网络技术对风力发电设备进行实时远程数据采集。工程实践表明该方法是可行的,能有效减少智能监控设备存储和运算设备,实现远程智能监控,便于实现风力发电的智能化管理。
A wind power generation intelligent monitoring system based on cloud computing and Internet of things is setup. According to the characteristics of wind power huge amounts of run datas,the Hadoop cloud computing technology is used to meet reliable of data storage and effective management, and the Zig Bee technology, the Internet of things technology and wireless sensor network technology are used to remote acquisition the data of wind power equipment real-time. Wind power generation enterprises monitoring center can remote monitor the wind power equipment, can through the terminal login to view and analysis of the cloud system to upload data. Engineering practices show that this method is feasible and can effectively reduce the storage and computing and intelligent monitoring devices, realize the remote intelligent monitoring, easy to realize intelligent management of wind power.
出处
《可再生能源》
CAS
北大核心
2017年第7期1032-1037,共6页
Renewable Energy Resources
基金
教育部中国智慧教育督导"十三五"规划子课题(LHY61606)
关键词
云计算
物联网
无线传感器网络
智能监测系统
cloud computing
internet of thing
wireless sensor network
intelligence monitor system
