Home IoT Speed up Business 4.0 Adoption utilizing Containerized Gateway Companies

Speed up Business 4.0 Adoption utilizing Containerized Gateway Companies

Speed up Business 4.0 Adoption utilizing Containerized Gateway Companies


As a part of the Manufacturing sector’s digitization course of, Business 4.0 automation drives real-time, knowledge acquisition from industrial gear on the plant flooring. This knowledge and speedy suggestions have turn into a mission-critical requirement. As well as, latest provide chain disruptions have elevated the lead time to acquire edge {hardware} leading to a number of months delays to modernization tasks. Among the most difficult facets of the modernization course of contain establishing machine connectivity, establishing a number of communication protocols, and buying the precise {hardware} to deploy at scale and throughout industrial websites. This weblog publish explains how one can deploy a number of situations of edge software program on a single machine. On this resolution, we deploy one occasion for every surroundings (improvement and high quality) to keep away from needing to acquire extra {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 Package (AWS CDK) and the GNU Make utility.


  1. AWS Accounts_ – Two AWS accounts with default Amazon Digital Non-public Cloud (Amazon VPC) subnet configuration. The accounts must have enough AWS Id and Entry Administration (IAM) permissions to launch Amazon EC2 situations, provision IoT Greengrass units, and arrange AWS IoT SiteWise fashions and property. 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 have to to repeat the AMI for deployment to different Areas.
  2. Set up Docker and Docker Compose in your edge gateway machine 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 supplied at Arrange the AWS CLI.
    2. Set up AWS Cloud Growth Package (AWS CDK) to provision cloud sources. Consult with the AWS CDK Workshop to realize hands-on expertise utilizing the AWS CDK.
    3. Clone the run-multiple-sitewise-gateways-using-containers pattern repo from GitHub following the steps supplied at Cloning a repository.

Answer Walkthrough

For demonstration functions, let’s think about an automotive manufacturing plant with a stamping manufacturing line comprising of two stamping presses. You ingest real-time measurement knowledge from every stamping press into two AWS environments (named improvement and high quality) utilizing two situations 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 machine and deploy two situations of AWS IoT SiteWise Edge. You check the end-to-end knowledge movement from the Stamping Presses to AWS IoT SiteWise in each the event and high quality environments. Beneath is the structure diagram of the answer that we simply described:

Architecture Diagram of the Solution


  1. Put together your environments

Use two AWS accounts to characterize the event and high quality environments. You possibly can both use current accounts or create new ones.

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

   2. Simulate real-time measurement knowledge for industrial gear

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 knowledge 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.

While 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 the moment out there solely within the us-east-1 Area. When you want to deploy the answer in one other Area, you possibly can copy the AMI utilizing the steps supplied 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 would use edge {hardware} inside your manufacturing unit.)

Change the listing to iot-factory-cdk and concern 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 knowledge

Now that you’ve got put in Ignition software program, let’s configure it to simulate the information for the stamping presses. (In a real-world situation, Ignition sometimes collects knowledge from industrial gear, comparable to stamping presses, by Programmable Logic Controllers (PLCs).

To configure Ignition, entry an internet browser. Enable inbound HTTP visitors to the underlying Amazon EC2 occasion internet hosting Ignition by following the directions at Authorize inbound visitors to your Linux situations. Alternatively, you might think about establishing port forwarding as demonstrated in this weblog publish to keep away from entry to the occasion from the general public IP tackle by securely create tunnels between your situations.

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.

You could need to change the default credentials following the directions at Gateway Safety earlier than continuing.

Now, create a knowledge simulator machine to characterize manufacturing line 1 and two stamping presses following the steps under:

  • Navigate to Config > OPC UA > Gadget Connections.
  • Create a brand new machine utilizing Create new Gadget > Programmable Gadget Simulator > Subsequent and use Manufacturing Line 1 as its identify. Then, select Create New Gadget.
  • Load an current program to simulate knowledge 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 knowledge simulator machine is prepared. Ignition begins simulating knowledge for all 4 measurements each 1 second.

3.Create a digital illustration of business gear

Create asset fashions and property to digitally characterize your stamping line and two stamping presses.

Subject the next command to deploy a CDK stack. This contains 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 consoleProperty. You must see the property arrange as proven within the following screenshot.

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

AWS IoT SiteWise console with property and asset hierarchy displayed

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

Arrange the AWS IoT SiteWise Edge Gateway on the sting gateway machine 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, comparable to dev.
  • OPCUAIP: The IP tackle 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/house) and in search of a stack named IotFactoryCdkStack

Cloudformation Stack

4.1 Put together the Docker compose file

Subject 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 replica of the asset created by AWS CDK. Learn extra about CDK property at Property.

python3 greengrassv2-installation/docker/config_docker.py

Overview 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 comparable to surroundings variables, file path for the certificates required for IoT Greengrass v2 to register a core machine.

4.2 Construct a Docker picture and run the container

Notice: You have to copy the greengrassv2-installation/docker folder to your edge gateway machine as a result of it comprises the mandatory configurations and certificates to register the IoT Greengrass v2 core machine.

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

Subject 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 visitors to the OPC UA server

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

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

5.Validate the Information Stream

Thus far, you deployed and configured all of the sources wanted to gather knowledge out of your industrial gear at edge and ship it to AWS IoT SiteWise. Now, check the end-to-end knowledge movement utilizing the AWS IoT SiteWise console.

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

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

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

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

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


On this weblog, you realized methods to use a single edge gateway machine for a number of environments, comparable to improvement and high quality. This resolution prevented the necessity to dedicate extra {hardware} to every surroundings. Whereas finishing the method, you deployed a number of situations of the software program on the identical edge machine – one occasion for every surroundings. Utilizing the sting software program, you had been in a position to ingest real-time knowledge from an OPC UA server on the edge and ship it to AWS IoT SiteWise. To Study extra, checkout AWS IoT SiteWise Sources.

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