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Predictive Equipment Health for Utilities

Project Overview

Project Detail

Greengrass and AWS IoT SiteWise edge for seamless connectivity and data preparation from Supervisory Control and Data Acquisition (SCADA), 3rd party protocol converters, Geographical Information System (GIS), data historians, and edge devices. AWS IoT SiteWise runs compiled machine learning (ML) models for local inference and actioning. Data is ingested directly from asset to AWS IoT Core, for non-asset modelled data. Data is ingested at scale with asset modelling in AWS IoT SiteWise. Real-time operational dashboard of data (critical asset performance metrics) via AWS IoT SiteWise monitor or Amazon Managed Service for Grafana (AMG). Build detector models in AWS IoT Events to continuously monitor the state of assets and issue immediate email and SMS alerts via to operational staff via Amazon Simple Notification Service (Amazon SNS). Amazon Simple Storage Service (Amazon S3) serves as the data lake and single version of truth for all consumers. AWS Glue performs ETL functions and builds the

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Predictive Equipment Health for Utilities