首页|基于大数据的带电设备红外图像存储与预处理

基于大数据的带电设备红外图像存储与预处理

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随着红外设备在电力设备在线监测中的广泛应用,各类红外图像数据不断激增.传统基于文件系统的存储方式已经无法满足快速检索以及高效处理的需求.基于Hadoop大数据平台结合HBase非关系型数据库创建了一套高效的存储、检索以及预处理框架.介绍了对提高红外图像的存储、检索和图像预处理效率,以及为红外图像的模式自动识别和红外图像设备故障自动诊断提供了必要的技术支撑.
Electric Equipment Preprocess Based on the Large Data Storage and Infrared Image
As the infrared equipment is widely used in electric power equipment on-line monitoring,continuing surge in infrared image data.Traditional way based on storage file system has been unable to meet the needs of rapid retrieval and efficient processing.This article is based on Hadoop big data platform combined with HBase non-relational database created a set of efficient storage,retrieval,and pretreatment framework.This framework not only greatly mentioned infrared image storage,retrieval,and the efficiency of image preprocessing,also for the image pattern recognition based on massive amounts of red,and the equipment fault diagnosis technology based on massive amounts of infrared image provides the necessary technical support.

HadoopK-means clusteringInfrared image pre-processing

郑建、耿世奇、李金

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北京南瑞埃森哲信息技术中心有限公司,北京100010

Hadoop HBase K-means聚类 红外图像预处理

2014

华东电力
华东电力试验研究院有限公司

华东电力

CSTPCD
影响因子:0.551
ISSN:1001-9529
年,卷(期):2014.42(11)
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