Linkedin

  • Home >
  • AWS Industrial IoT Description 1 Predictive Quality Reference Architecture

AWS Industrial IoT Description 1 Predictive Quality Reference Architecture

Project Overview

Project Detail

Configure AWS IoT Greengrass to communicate with industrial equipment to capture data and video on the factory floor. Configure the AWS IoT SiteWise Connector on AWS IoT Greengrass to connect and collect data from factory machines using OPC-UA. Use AWS IoT SiteWise to model assets that represent on-premises devices, equipment and processes, and ingest historian data into AWS. Use AWS IoT Greengrass to exchange messages with AWS IoT Core and send processed images to Amazon S3 in your AWS Lake Formation. Configure rules within AWS IoT Core to trigger events and send data to AWS IoT Events and AWS IoT Analytics. Build your predictive quality Machine Learning (ML) model with Amazon SageMaker based on images stored in AWS Lake Formation. Deploy your Machine Learning model onto your AWS IoT Greengrass Edge Gateway. Create a topic for quality alerts in Amazon Simple Notification Service (Amazon SNS) to notify an Operations Engineer. 9 Create a custom web portal using AWS IoT SiteWise Monitor to vis

http://chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://d1.awsstatic.com/IoT/AWS%20Industrial%20-%20Predictive%20Quality%20Reference%20Architecture.pdf?did=wp_card&trk=wp_card

To know more about this project connect with us

AWS Industrial IoT Description 1 Predictive Quality Reference Architecture