lnlsdig/inj-efficiency-epics-ioc
lnlsdig
自动构建
Docker image for the Injection Efficiency EPICS Soft IOC
下载次数: 0状态：自动构建维护者：lnlsdig仓库类型：镜像最近更新：7 年前
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docker-inj-efficiency-epics-ioc
This repository contains the Dockerfile used to create the Docker image with the https://github.com/lnls-dig/inj-efficiency-epics-ioc.
Running the IOCs
The simples way to run the IOC is to run:
docker run --rm -it --net host lnlsdig/inj-efficiency-epics-ioc -f ICT1PV -s ICT2PV
where ICT1PV is the name of the PV containing the charge measurement of the first ICT in an accelerator section, namely a
transport line or the LINAC. Likewise, ICT2PV is the name of the PV containing the charge measurement of the second
ICT in an accelerator section. The efficiency value is the result of the division of the charge measured by the second ICT
by the charge measured by the first ICT. The options you can specify (after lnlsdig/inj-efficiency-epics-ioc):
-f ICT1PV: Name of the PV monitoring the measurements of the first ICT (required)-s ICT2PV: Name of the PV monitoring the measurements of the second ICT (required)-P PREFIX1: the value of the EPICS$(P)macro used to prefix the PV names of Injection Efficiency Soft IOC-R PREFIX2: the value of the EPICS$(R)macro used to prefix the PV names of Injection Efficiency Soft IOC
Creating a Persistent Container
If you want to create a persistent container to run the IOC, you can run a command similar to:
docker run -it --net host --restart always --name CONTAINER_NAME lnlsdig/inj-efficiency-epics-ioc -f ICT1PV -s ICT2PV
where ICT1PV and ICT2PV are as in the previous section and CONTAINER_NAME is the name
given to the container. You can also use the same options as described in the
previous section.
Building the Image Manually
To build the image locally without downloading it from Docker Hub, clone the
repository and run the docker build command:
git clone https://github.com/lnls-dig/inj-efficiency-epics-ioc docker build -t lnlsdig/inj-efficiency-epics-ioc docker-inj-efficiency-epics-ioc
镜像拉取方式
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本，请访问 标签列表页面。
轩辕镜像加速拉取命令点我查看更多 inj-efficiency-epics-ioc 镜像标签
docker pull docker.xuanyuan.run/lnlsdig/inj-efficiency-epics-ioc:<标签>
DockerHub 原生拉取命令
docker pull lnlsdig/inj-efficiency-epics-ioc:<标签>
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oldzhang
运维工程师
Linux服务器
5
"Docker访问体验非常流畅，大镜像也能快速完成下载。"