摘要
针对传统单机版批处理式的快速傅里叶变换(Fast Fourier Transform,FFT)难以满足工业生产现场海量流数据实时处理的需求,提出一种基于Apache Storm的增量式FFT方法。该方法设计了非递归FFT的流式计算逻辑,并实现于Apache Storm。基于清华数为框架(DataWay Framework,DWF),采用Bently转子实验台的不对中故障流数据,构建了转子合成轴心轨迹的可视化监测界面,结果表明该方法能实时更新流数据频谱。
The conventional Fast Fourier Transform which is difficult to process the industrial big data in real time is a stand-alone algorithm with the batch processing techniques.In this paper,an Incremental FFT based on Apache storm is proposed.A non-recursive computational logic is first designed in Apache Storm.Then,a rotor misalignment experiment is performed on a Bently rotor test bench.With the rotor vibration data,a visual monitoring interface is developed by DataWay Framework.The result shows that the frequency spectrum of the stream data can be updated in real time with the proposed method and its realization.
作者
赵鑫
马再超
刘英博
丁雨亭
魏慕恒
ZHAO Xin;MA Zai-chao;LIU Ying-bo;DING Yu-ting;WEI Mu-heng(Institute of Information System and Engineering,School of Software,Tsinghua University,Beijing 100084,China;Beijing Key Laboratory for Industrial Big Data System and Application,Beijing 100084,China;CSSC Systems Engineering Research Institute,Beijing 100070,China)
出处
《计算机科学》
CSCD
北大核心
2020年第S02期504-507,540,共5页
Computer Science
基金
国家重点研发计划(2016YFB0501504)
国家自然科学基金(U1509213)智能船舶1.0研发专项。
