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OPC-UA

OPC-UA is a platform-independent service-oriented architecture for IIoT. This article uses the installation you created in the AWS-Greengrass tutorial to deploy OPC-UA as an AWS Lambda function on an ARTIK Linux module.

OPC-UA via AWS Greengrass

This procedure demonstrates how to connect to the OPC-UA server, monitor the required nodes, and publish the necessary details to both AWS and ARTIK Cloud. For doing so, an AWS-Greengrass Lambda function is used to manage the OPC-UA client running on the AWS-Greengrass core device (ARTIK 530/710). The Lambda function transmits the monitored OPC-UA node value required to ARTIK Cloud.

Prerequisites

You must have an account on Samsung ARTIK Cloud; you may have already set it up during the Connect to the World article.

Follow the AWS Services articles to get an AWS account and set up AWS Greengrass.

Setup Procedure

Perform these one-time setup operations.

Create New Device Type

You need to set up a device with named parameters as noted.

  1. Create a new Device Type in ARTIK Cloud – Developer Portal. Include the following fields in the manifest file, and then publish the device type.

  2. Using the Device Type you just created, create a new instance of the device in your ARTIK Cloud User Portal. Leave the window open so that you can copy the Device ID and token later.

Install OPC-UA Server

Perform this software installation and start up the server. We make use of the OPC-UA stack implementation written in Javascript and nodejs.

  1. Clone the node-opcua repo.

    git clone git://github.com/node-opcua/node-opcua.git

    cd node-opcua

    git checkout v0.0.64

  2. Install the npm dependency packages.

    npm install

  3. Run the OPC-UA server. You'll use this command every time you need to restart the server.

    node bin/simple_server

Implement Lambda function

Implement a AWS Lambda function that uses nodejs runtime.

  1. Download the file bundle that contains the Lambda function, which is also the OPC-UA client.

  2. After creating the AWS Greengrass group, upload the lambda zip file by following the steps described in the AWS Lambda package creation article.

    NOTE: The runtime should be Node.js 6.10.

  3. Publish a version of the uploaded Lambda function and add it to the Greengrass group. Update the configuration as described in the AWS Greengrass configuration article.

    NOTE: Update the Memory Limit to 100 MB.

  4. Include the following Environment variables, copying and pasting the Device ID and Token from above (and getting your IP address from hostname -I or ifconfig).

    “opcuaserver” – “opc.tcp://<HOST_IP_ADDRESS>:26543”

    “artikDeviceId” – “_your_DEVICE_ID_goes_here_”

    “artikDeviceToken” – “_your_DEVICE_TOKEN_goes_here_”

Starting Services

  1. Run the OPC_UA server (if not running already).

  2. Start Greengrass service on the core device and deploy.

    [root@artik core]# ./greengrassd start

     Setting up greengrass daemon                    
 Validating hardlink/softlink protection         
 Validating execution environment                
 Found cgroup subsystem: cpuset                  
 Found cgroup subsystem: cpu                     
 Found cgroup subsystem: cpuacct                 
 Found cgroup subsystem: blkio                   
 Found cgroup subsystem: memory                  
 Found cgroup subsystem: devices                 
 Found cgroup subsystem: freezer                 
 Found cgroup subsystem: net_cls                
 Found cgroup subsystem: perf_event             
 Found cgroup subsystem: net_prio               
 Found cgroup subsystem: pids                    
 Found cgroup subsystem: debug                   
 Starting greengrass daemon                      
 Greengrass successfully started with PID: 2574

Now, you should be able to see the data in Artik cloud corresponding to the data value of the monitored node, obtained from the OPC-UA server. Appropriate actions can be triggered using the ARTIK Cloud Rules engine.

To view the data logs in AWS dashboard, subscribe to the uploaded Lambda to IoT cloud service as described here.

NOTE: Subscribe to topic “#” to view the data logs.

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