HIRFL-CSRm电源监测系统

葛良; 张玮; 安石; 安敬蕊; 王鹏鹏; 常建军

doi:10.11884/HPLPB201931.019003

HIRFL-CSRm电源监测系统

doi: 10.11884/HPLPB201931.019003

葛良^{1, 2,},
张玮¹,
安石^{1, 2},
安敬蕊¹,
王鹏鹏¹,
常建军^{1, 2}

1.
中国科学院近代物理研究所，兰州 730000
2.
中国科学院大学核科学与技术学院, 北京 100049

基金项目:

国家实验室HIRFL运行维护改造项目 06HIRLL100-5005

详细信息

作者简介:
葛良(1989—)，男，助理工程师，博士研究生，从事重离子加速器控制系统研究; gliang016@impcas.ac.cn

中图分类号: TL503.6
计量
- 文章访问数: 1366
- HTML全文浏览量: 347
- PDF下载量: 95
- 被引次数: 0
出版历程
- 收稿日期: 2018-08-30
- 修回日期: 2019-01-29
- 刊出日期: 2019-02-15

HIRFL-CSRm power supply monitoring system

Ge Liang^{1, 2
,},
Zhang Wei¹,
An Shi^{1, 2},
An Jingrui¹,
Wang Pengpeng¹,
Chang Jianjun^{1, 2}

1.
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
2.
School of Nuclear and Technology, University of Chinese Academy of Sciences, Beijing 100049, China

摘要

摘要: 电源监测系统为兰州重离子加速器装置(HIRFL)机器研究、自动调束、深度学习提供重要的实时数据，在对HIRFL进行EPICS升级过程中，重新设计电源监测系统，采用分布式的设计布局，形成一种由上层、中间件、底层构成的拓展架构，实现上层数据的中间件处理、下层参数的中间件统一下发，避免上层非法参数对下层设备的不利影响，简化下层异常的处理；为了调束方便，整合显示界面，优化不同功能界面上大数据量显示的难题，提高显示的流畅度；为了完成数据的后台分析，搭建非关系型数据库集群，实现重要数据多副本、实时数据分片多节点存储，提高数据安全性及数据库读写速度，避免复杂的数据库表结构设置，拓展数据库集群优化及节点增加。
- 电源监测 /
- 数据采集 /
- 数据库 /
- EPICS /
- Cassandra数据库
Abstract: Power supply monitoring system provides important real-time data for machine research, auto beam adjustment and deep learning on HIRFL (Heavy Ion Research Facility Lanzhou). During the EPICS upgrade of HIRFL, the power supply monitoring system was redesigned and a distributed structure was adopted to form an extended layout of the upper layer/middleware and the bottom layer. The middleware processes the upper layer data and sends data to the lower layer, avoiding invalid parameters applied to the lower devices and simplifying the handling of exception. To facilitate beam adjustment, the display interface is integrate, displaying large amounts of data on different OPI is optimized and the display is improved. In order to carry on the off-line analysis of the data, a NoSQL database cluster was built to realize multiple copies of high priority data and to store multi-node real-time data, also to improve data security and database read/write speed, in addition to avoid designing complicated table structure and to expand database cluster optimization and nodes increasing.
- power supply monitoring /
- data acquisition /
- database /
- EPICS /
- Cassandra

HTML全文

图 1 电源监测系统硬件结构图

Figure 1. Hardware structure of power supply monitoring

下载: 全尺寸图片幻灯片

图 2 数据采集流程图

Figure 2. Flow chart of data acquisition

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图 3 直流电源界面

Figure 3. DC power control interface

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图 4 脉冲电源界面

Figure 4. Pulse power interface

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图 5 数据保存界面

Figure 5. Data save interface

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图 6 Cassandra数据库存储条数与时间关系

Figure 6. Relationship between storage number and time

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