{"id":288789,"date":"2023-10-25T10:20:22","date_gmt":"2023-10-25T08:20:22","guid":{"rendered":"https:\/\/amorph.pro\/?p=288789"},"modified":"2023-12-04T11:49:49","modified_gmt":"2023-12-04T10:49:49","slug":"industrial-data-integration-empowering-aws-sitewise-with-smartunifier","status":"publish","type":"post","link":"https:\/\/amorph.pro\/ja\/industrial-data-integration-empowering-aws-sitewise-with-smartunifier\/","title":{"rendered":"Industrial Data Integration: Empowering AWS IoT SiteWise with SMARTUNIFIER"},"content":{"rendered":"\n

Connecting a diverse range of industrial equipment, peripherals, and devices with on-premises or cloud-based IT systems can be a daunting task. SMARTUNIFIER <\/strong>rises to the challenge, providing seamless IT connectivity and bridging the gap between industrial facilities and IT environments.  <\/p>\n\n\n\n

In this post, you will learn how to integrate various types of industrial equipment or sensors <\/strong>with SMARTUNIFIER<\/strong> and make this data accessible to AWS IoT SiteWise<\/a> <\/strong>in a matter of minutes for seamless industrial data integration<\/strong>.<\/p>\n\n\n\n

With SMARTUNIFIER, you are able to export already designed information models into AWS IoT SiteWise and directly ingest data from virtually any industrial asset for efficient industrial data integration. <\/em><\/p>\n\n\n

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\"With<\/figure>\n<\/div>\n\n\n

Understanding Key Concepts of SMARTUNIFIER Integration Process<\/h2>\n\n\n\n

Before delving deeper into the integration process, it’s essential to grasp the key concepts of SMARTUNIFIER<\/strong>:<\/p>\n\n\n\n

Information Models<\/strong> \u2013 represent equipment, processes, and products with intelligent information as required for specific or multiple industrial use cases. SMARTUNIFIER<\/strong> allows contextualizing any number of industrial data points by merging them with information from other systems, adding metadata, standardizing data attributes, and normalizing data.<\/p>\n\n\n\n

Mappings <\/strong>– represent the SMARTUNIFIER<\/strong> component that defines when and how to ex- change\/transform data between two or multiple Information Models. Thus, Mappings are acting as a translator between the different Information Models.<\/p>\n\n\n\n

Communication Instances<\/strong> \u2013 provide actual communication between the defined industrial assets and IT systems.<\/p>\n\n\n\n

Exploring Data Integration in Manufacturing: A Demo Scenario with MES, PLC and AWS SiteWise<\/h3>\n\n\n\n

In the context of data integration<\/strong>, let’s take a closer look at a demo scenario involving a Manufacturing Execution System (MES) seamlessly interconnected with a Programmable Logic Controller (PLC), specifically, the Siemens S7 1500. Within this setup, the PLC houses simulated data points such as temperature and pressure readings for three distinct chambers.<\/p>\n\n\n

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\"In<\/figure>\n<\/div>\n\n\n

To enable SMARTUNIFIER<\/strong> to ingest data we first have to create an Information Model:<\/p>\n\n\n

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\"SMARTUNIFIER<\/figure>\n<\/div>\n\n\n

Next, we export the information model to AWS IoT SiteWise using the export plugin by<\/p>\n\n\n\n