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Ingest and analyze equipment data in the cloud

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This article discusses how a sugar manufacturer in India optimized their manufacturing process by ingesting and analyzing equipment data from a distillery plant into the AWS Cloud. The company faced challenges such as lack of historical data, no centralized view of production across plants, no analytics and reporting capabilities, and no real-time notification system.

Specifically, the article covers:

  • The need for data-driven visibility in the manufacturing process
  • The AWS Cloud solution architecture involving AWS services like IoT Core, IoT SiteWise, S3, Glue, and Grafana for data ingestion, analysis, and dashboarding
  • Key use cases enabled by the solution, such as monitoring KPIs, visualizing steam consumption and correlation with alcohol production, distillation plant performance dashboard, and statistical process control for effective process monitoring
  • The benefits achieved, including centralized visibility, historical data analysis, real-time analytics and reporting, cost optimization opportunities, and flexibility to add new use cases


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