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基于云计算与物联网的风力发电智能监测系统研究

黄敏 徐菲 刘珺

可再生能源2017,Vol.35Issue(7):1032-1037,6.
可再生能源2017,Vol.35Issue(7):1032-1037,6.

基于云计算与物联网的风力发电智能监测系统研究

Research on wind power generation intelligent monitoring system based on cloud computing and Internet of thing

黄敏 1徐菲 2刘珺3

作者信息

  • 1. 广州南洋理工职业学院, 广东 广州 510925
  • 2. 东北林业大学 信息与计算机工程学院, 黑龙江 哈尔滨150040
  • 3. 湖南方心科技有限公司, 湖南 长沙 410205
  • 折叠

摘要

Abstract

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 ZigBee 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.

关键词

云计算/物联网/无线传感器网络/智能监测系统

Key words

cloud computing/internet of thing/wireless sensor network/intelligence monitor sys-tem

分类

能源科技

引用本文复制引用

黄敏,徐菲,刘珺..基于云计算与物联网的风力发电智能监测系统研究[J].可再生能源,2017,35(7):1032-1037,6.

基金项目

教育部中国智慧教育督导"十三五"规划子课题(LHY61606). (LHY61606)

可再生能源

OA北大核心CSTPCD

1671-5292

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