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作 者:黄瑞 肖宇 曾伟杰 胡红利[3] 叶志 段羽洁 HUANG Rui;XIAO Yu;ZENG Weijie;HU Hongli;YE Zhi;DUAN Yujie(State Grid Hunan Electric Power Company Limited,Hunan Changsha 410000,China;Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology,Hunan Changsha 410004,China;School of Electrical Engineering,Xi an Jiaotong University,Shaanxi Xi an 710049,China)
机构地区:[1]国网湖南省电力有限公司,湖南长沙410000 [2]智能电气量测与应用技术湖南省重点实验室,湖南长沙410004 [3]西安交通大学电气工程学院,陕西西安710049
出 处:《工业仪表与自动化装置》2023年第1期81-86,共6页Industrial Instrumentation & Automation
基 金:国网科技项目(5700-202055484A-0-0-00)。
摘 要:嵌入式操作系统虚拟化技术因其标准化的开发流程和对跨平台的适应能力受到了广泛关注。Docker作为一种轻量级虚拟化方式,具有资源利用率高,启动速度快,实时性好的特点,是嵌入式操作系统高效的虚拟化方案。文章介绍了Docker的原理,并与传统虚拟化技术进行了对比;以智能电能表为例提出了其功能容器化的方案,在Docker容器中构造了基于二叉树支持向量机(BT-SVM)的电能质量扰动识别分类器,实现了7种电能质量扰动的识别,并且测试了其相对传统虚拟机的轻量级特性。为智能量测设备嵌入式操作系统虚拟化与其功能部署容器化提供了一种思路。The embedded operating system virtualization technology has attracted extensive attention because of its standardized development process and adaptability of cross-platform.As a lightweight virtualization method,Docker has the characteristics of high resource utilization,fast startup speed and good real-time performance.It is an efficient virtualization scheme for embedded electric energy meter operating system.This paper introduces the principle of Docker and compares Docker with traditional virtualization technology.Puts forward the scheme of power meter function containerization and construct a power quality disturbance recognition classifier based on Binary Tree Support Vector Machine(BT-SVM),realize the identification of seven power quality disturbances in Docker environment.And test its lightweight characteristics compared with traditional virtual machine.It provides an idea for the virtualization of smart measurement equipment operating system and the containerization of function deployment of intelligent measuring equipment.
关 键 词:智能量测设备 嵌入式操作系统 DOCKER 虚拟化
分 类 号:TM932[电气工程—电力电子与电力传动]
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