Speed up Trade 4.0 Adoption utilizing Containerized Gateway Companies


As a part of the Manufacturing sector’s digitization course of, Trade 4.0 automation drives real-time, information acquisition from industrial tools on the plant ground. This information and fast suggestions have grow to be a mission-critical requirement. As well as, current provide chain disruptions have elevated the lead time to acquire edge {hardware} leading to a number of months delays to modernization tasks. A number of the most difficult elements of the modernization course of contain organising system connectivity, establishing a number of communication protocols, and buying the best {hardware} to deploy at scale and throughout industrial websites. This weblog submit explains how one can deploy a number of cases of edge software program on a single system. On this answer, we deploy one occasion for every surroundings (improvement and high quality) to keep away from needing to acquire further {hardware} for every surroundings. The sting software program that we focus on embrace AWS IoT SiteWise Edge utilizing AWS IoT Greengrass because the runtime surroundings and runs in a Docker container. You deploy the software program utilizing the AWS Cloud Growth Equipment (AWS CDK) and the GNU Make utility.

Conditions

  1. AWS Accounts_ – Two AWS accounts with default Amazon Digital Personal Cloud (Amazon VPC) subnet configuration. The accounts must have enough AWS Id and Entry Administration (IAM) permissions to launch Amazon EC2 cases, provision IoT Greengrass units, and arrange AWS IoT SiteWise fashions and belongings. Notice that the Amazon Machine Picture (AMI) we use within the setup is on the market solely within the Northern Virginia (us-east-1) Area. You will want to repeat the AMI for deployment to different Areas.
  2. Set up Docker and Docker Compose in your edge gateway system to construct and deploy containers.
  3. In your native improvement machine,
    1. Set up and configure the AWS Command Line Interface (AWS CLI) following the steps offered at Arrange the AWS CLI.
    2. Set up AWS Cloud Growth Equipment (AWS CDK) to provision cloud sources. Discuss with the AWS CDK Workshop to achieve hands-on expertise utilizing the AWS CDK.
    3. Clone the run-multiple-sitewise-gateways-using-containers pattern repo from GitHub following the steps offered at Cloning a repository.

Resolution Walkthrough

For demonstration functions, let’s contemplate an automotive manufacturing plant with a stamping manufacturing line comprising of two stamping presses. You ingest real-time measurement information from every stamping press into two AWS environments (named improvement and high quality) utilizing two cases of the sting software program working on the identical edge {hardware}.

First, you simulate temperature and stress measurement values each 1 second utilizing Ignition software program put in on an Amazon Elastic Compute Cloud (Amazon EC2) occasion. Subsequent, you create a digital illustration of the 2 stamping presses in AWS IoT SiteWise in each the event and high quality environments.

Lastly, you put together the sting gateway system and deploy two cases of AWS IoT SiteWise Edge. You take a look at the end-to-end information circulation from the Stamping Presses to AWS IoT SiteWise in each the event and high quality environments. Under is the structure diagram of the answer that we simply described:

Architecture Diagram of the Solution

Steps

  1. Put together your environments

Use two AWS accounts to symbolize the event and high quality environments. You’ll be able to both use current accounts or create new ones.

Notice: Write down the 12-digit AWS account ID for every account as you have to them within the following steps.

   2. Simulate real-time measurement information for industrial tools

Use the Ignition software program to arrange an OPC Unified Structure (OPC UA) simulator server. Set up the software program on an Amazon EC2 occasion, and configure pattern tags to simulate temperature and stress information for the stamping presses.

   2.1 Select your goal surroundings

Choose the surroundings the place you’ll deploy your cloud sources. First, you select the AWS account that represents your improvement surroundings.

Once you return to this part for deploying the answer a second time on the standard surroundings, choose the AWS account that represents your high quality surroundings.

To decide on the goal surroundings, replace the account and area parameters within the iot-factory-cdk/cdk.json file.

Notice: The Neighborhood Amazon Machine Picture (AMI) for Ignition is at present out there solely within the us-east-1 Area. In the event you want to deploy the answer in one other Area, you possibly can copy the AMI utilizing the steps offered at Copy an AMI.

2.2 Set up Ignition software program

Launch an Amazon EC2 occasion and set up the Ignition software program utilizing AWS CDK. (In a real-world situation, as a substitute of an Amazon EC2 occasion, you could possibly use edge {hardware} inside your manufacturing unit.)

Change the listing to iot-factory-cdk and problem the next command to deploy a CDK stack, which incorporates all of the sources wanted to run Ignition.

cdk deploy OPCUAInstanceStack

Navigate to the AWS CloudFormation Console to confirm the deployment and search for a stack named OPCUAInstanceStack.

Cloudformation Ouptut

Notice: Write down the EC2IP, EC2PublicIP, and EC2Port parameter values. You’ll use them within the following steps.

2.3 Configure the Ignition software program to simulate information

Now that you’ve put in Ignition software program, let’s configure it to simulate the information for the stamping presses. (In a real-world situation, Ignition usually collects information from industrial tools, corresponding to stamping presses, by means of Programmable Logic Controllers (PLCs).

To configure Ignition, entry an online browser. Enable inbound HTTP site visitors to the underlying Amazon EC2 occasion internet hosting Ignition by following the directions at Authorize inbound site visitors on your Linux cases. Alternatively, you could contemplate organising port forwarding as demonstrated in this weblog submit to keep away from entry to the occasion from the general public IP deal with by securely create tunnels between your cases.

Launch Ignition utilizing the URL http://<EC2PublicIP> and log in utilizing the default credentials (username: admin, password: password). Substitute EC2PublicIP with the worth famous in step 2.2.

Chances are you’ll wish to change the default credentials following the directions at Gateway Safety earlier than continuing.

Now, create an information simulator system to symbolize manufacturing line 1 and two stamping presses following the steps under:

  • Navigate to Config > OPC UA > Gadget Connections.
  • Create a brand new system utilizing Create new Gadget > Programmable Gadget Simulator > Subsequent and use Manufacturing Line 1 as its title. Then, select Create New Gadget.
  • Load an current program to simulate information for temperature and stress measurements.
    • Select Extra > edit program > Load Simulator Program > Load from CSV choice.
    • Browse to iot-factory-cdk/iot_factory_cdk/stacks/opcua_datasource /simulator_program_instructions.csv and choose Load Simulator Program.
    • Select Save Program.

Your information simulator system is prepared. Ignition begins simulating information for all 4 measurements each 1 second.

3.Create a digital illustration of commercial tools

Create asset fashions and belongings to digitally symbolize your stamping line and two stamping presses.

Situation the next command to deploy a CDK stack. This consists of all of the sources wanted from AWS IoT SiteWise.

cdk deploy SiteWiseAssetStack

Confirm the AWS IoT SiteWise sources by navigating to the AWS IoT SiteWise consoleBelongings. You need to see the belongings arrange as proven within the following screenshot.

Fig: AWS IoT SiteWise console with assets and asset hierarchy displayed

AWS IoT SiteWise console with belongings and asset hierarchy displayed

4.Provision the required edge and cloud sources to ingest information from OPC UA Server

Arrange the AWS IoT SiteWise Edge Gateway on the sting gateway system and set up connectivity with the Ignition OPC UA server you arrange earlier.

Replace the iot-factory-cdk/env.sh with the next parameters

  • Atmosphere: Any lowercase string that represents your surroundings, corresponding to dev.
  • OPCUAIP: The IP deal with of the OPC UA server. EC2IP from Step 2.2
  • OPCUAPort: The port used for the OPC UA server. That is the Amazon EC2Port from Step 2.2

Use the next instructions to deploy the sources:

supply iot-factory-cdk/env.sh

cdk deploy IotFactoryCdkStack

Confirm the deployment by navigating to the [AWS CloudFormation Console](https://console.aws.amazon.com/cloudformation/residence) and in search of a stack named IotFactoryCdkStack

Cloudformation Stack

4.1 Put together the Docker compose file

Situation the next command to create a Docker compose file.

Make sure you run the script from the identical surroundings the place your ran cdk deploy within the prior step.

The python script depends on parameters from the cdk.out, which is a duplicate of the asset created by AWS CDK. Learn extra about CDK belongings at Belongings.

python3 greengrassv2-installation/docker/config_docker.py

Evaluation the docker-compose.yml file that’s created underneathgreengrassv2-installation/dockerlisting.

The docker-compose file comprises a reference to the Docker picture for IoT Greengrass v2, together with the mandatory configurations corresponding to surroundings variables, file path for the certificates required for IoT Greengrass v2 to register a core system.

4.2 Construct a Docker picture and run the container

Notice: It’s essential to copy the greengrassv2-installation/docker folder to your edge gateway system as a result of it comprises the mandatory configurations and certificates to register the IoT Greengrass v2 core system.

Situation the next instructions on the sting gateway system the place the Docker daemon runs. It usually runs on edge {hardware} in your on-premises information heart that has community connectivity with each your information supply (Ignition or any OPC UA appropriate server) and the AWS Cloud.

Situation the next to construct a Docker picture

cd greengrassv2-installation/docker/

make construct

Run the Docker container

cd greengrassv2-installation/docker/

make begin

4.3 Enable incoming site visitors to the OPC UA server

Enable incoming connections from the AWS IoT SiteWise gateway (working on the sting gateway system) to the Ignition OPC UA server.

Discuss with the Gateway Port Reference to know the ports it’s essential to open.

5.Validate the Knowledge Circulate

Thus far, you deployed and configured all of the sources wanted to gather information out of your industrial tools at edge and ship it to AWS IoT SiteWise. Now, take a look at the end-to-end information circulation utilizing the AWS IoT SiteWise console.

  • Navigate to AWS IoT SiteWise console > Belongings.
  • Navigate to Sample_Site1 > Sample_Area1 > Sample_Line1 > Pattern StampingPress1.
  • Change to the Measurements tab and search for values underneath the Newest worth column.
  • Be sure that you discover the real-time temperature and stress values.
  • Repeat these steps for the Pattern StampingPress2 asset.

6.Create a brand new system simulation for the High quality surroundings

Repeat steps 2 by means of 5 within the second AWS account to symbolize your High quality surroundings.

After you validate the outcomes, you possibly can delete the deployed CDK stacks to keep away from incurring further prices.

  • cdk destroy IotFactoryCdkStack
  • cdk destroy SiteWiseAssetStack
  • cdk destroy OPCUAInstanceStack

Conclusion

On this weblog, you discovered tips on how to use a single edge gateway system for a number of environments, corresponding to improvement and high quality. This answer prevented the necessity to dedicate further {hardware} to every surroundings. Whereas finishing the method, you deployed a number of cases of the software program on the identical edge system – one occasion for every surroundings. Utilizing the sting software program, you have been in a position to ingest real-time information from an OPC UA server on the edge and ship it to AWS IoT SiteWise. To Study extra, checkout AWS IoT SiteWise Assets.

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