1.安装前置条件
部署预测性维护前请确保已经部署了HiperMatrix系统。
2.下载安装文件
2.1 下载在线安装文件
预测性维护在线安装文件位于http://58.247.122.126:20014/api/public/dl/hbi_lnBQ，浏览器地址栏输入可直接下载，也可以在Linux服务器内输入如下命令下载文件：
wget http://58.247.122.126:20014/api/public/dl/hbi_lnBQ -O ai-linux-installer-release-v1.0.0.tar.gz
将在线安装文件下载到服务器后，执行以下命令解压安装文件：
tar -zxvf ai-linux-installer-release-v1.0.0.tar.gz
解压完成后得到ai-linux-installer-release-v1.0.0目录，安装脚本install.sh位于该目录下。
2.2 下载离线安装文件
预测性维护离线安装文件位于http://58.247.122.126:20014/api/public/dl/QzZAuCMN，浏览器地址栏输入可直接下载
将离线安装文件下载到服务器后，执行以下命令解压安装文件：
tar -zxvf ai-linux-offline-installer-release-v1.0.0.tar.gz
解压完成后得到ai-linux-offline-installer-release-v1.0.0目录，安装脚本install.sh位于该目录下。
3.安装服务
3.1 在线安装
install.sh脚本在线环境下会自动执行服务镜像的拉取以及部署，但需要保证服务器访问外网畅通，否则将会拉取不到docker镜像。
安装命令如下：
$ cd ai-linux-installer-release-v1.0.0
$ sudo ./install.sh
安装脚本执行过程如下：
iot@iservice:~/ai-linux-installer-release-v1.0.0$ bash install.sh
Start the ai services
Start ai: done, running service... done
Start equipment: done, running service... done
Start file-management: done, running service... done
All the services have started
脚本执行完后，等待5分钟左右服务可以启动完成。
3.2 离线安装
install.sh脚本离线环境下会自动构建镜像以及部署。
安装命令如下：
$ cd ai-linux-offline-installer-release-v1.0.0
$ sudo ./install.sh
安装脚本执行过程如下：
iot@iservice:~/ai-linux-offline-installer-release-v1.0.0$ bash install.sh
/home/iot/ai-linux-offline-installer-release-v1.0.0/build-image.sh
begin to build images
[+] Building 3.3s (8/8) FINISHED
=> [internal] load build definition from Dockerfile 0.0s
=> => transferring dockerfile: 243B 0.0s
=> [internal] load .dockerignore 0.0s
=> => transferring context: 2B 0.0s
=> [internal] load metadata for docker.io/library/openjdk:8-jdk 0.0s
=> [1/3] FROM docker.io/library/openjdk:8-jdk 0.0s
=> [internal] load build context 3.2s
=> => transferring context: 211.15MB 3.2s
=> CACHED [2/3] RUN ln -snf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && echo Asia/Shangh 0.0s
=> CACHED [3/3] COPY ./build/libs/*.jar /app/ 0.0s
=> exporting to image 0.0s
=> => exporting layers 0.0s
=> => writing image sha256:a79d115d4d5ff54b3f933abe2b5c81d64edfa701b6e363f46ef6dd60c123fe3f 0.0s
=> => naming to harbor.hipermatrix.com:10300/edge/ai:1.0.23 0.0s
[+] Building 1.5s (8/8) FINISHED
=> [internal] load build definition from Dockerfile 0.0s
=> => transferring dockerfile: 243B 0.0s
=> [internal] load .dockerignore 0.0s
=> => transferring context: 2B 0.0s
=> [internal] load metadata for docker.io/library/openjdk:8-jdk 0.0s
=> [1/3] FROM docker.io/library/openjdk:8-jdk 0.0s
=> [internal] load build context 1.4s
=> => transferring context: 104.43MB 1.4s
=> CACHED [2/3] RUN ln -snf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && echo Asia/Shangh 0.0s
=> CACHED [3/3] COPY ./build/libs/*.jar /app/ 0.0s
=> exporting to image 0.0s
=> => exporting layers 0.0s
=> => writing image sha256:c0310d449cd100af4126a21bb666b05d2cd63a625007db2678c27a28c31f66b9 0.0s
=> => naming to harbor.hipermatrix.com:10300/services/equipment-master-data-server:1.13.8 0.0s
[+] Building 1.4s (8/8) FINISHED
=> [internal] load build definition from Dockerfile 0.0s
=> => transferring dockerfile: 243B 0.0s
=> [internal] load .dockerignore 0.0s
=> => transferring context: 2B 0.0s
=> [internal] load metadata for docker.io/library/openjdk:8-jdk 0.0s
=> [internal] load build context 1.4s
=> => transferring context: 106.54MB 1.4s
=> [1/3] FROM docker.io/library/openjdk:8-jdk 0.0s
=> CACHED [2/3] RUN ln -snf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && echo Asia/Shangh 0.0s
=> CACHED [3/3] COPY ./build/libs/*.jar /app/ 0.0s
=> exporting to image 0.0s
=> => exporting layers 0.0s
=> => writing image sha256:ccb6c04d5e815107d215bb16800710740b93dc0304bb338a8adf804c8a46f5f3 0.0s
=> => naming to harbor.hipermatrix.com:10300/edge/file-management:2.0.0 0.0s
build images is done
Start the ai services
Start ai: running service... done
Start equipment: running service... done
Start file-management: running service... done
All the services have started
脚本执行完后，等待5分钟左右服务可以启动完成。
4.菜单导入
预测性维护菜单位于http://58.247.122.126:20014/api/public/dl/Z1Ei3stQ，浏览器地址栏输入后下载，并通过浏览器访问http://${HOST_IP}:9030/menu，通过导入按钮导入该文件。
