After client discussions and cloud vendor evaluations, AWS was selected. We collaborated with AWS to develop a data lake, Kinesis streams, Lambda functions, and Athena queries for efficient reporting.
Various plant assets, including transformers, turbines, and generators, were fitted with 123 sensors. Data is sent to the cloud through a centralized local gateway for IoT remote monitoring.
Ingestion of streaming data through Kinesis data stream and pre-processing and enrichment through lambda functions.
Kinesis data stored in S3 (JSON, Parquet), aggregated with Athena queries for KPIs, stored in relational databases for BI.
A web app with multi-user access for real-time monitoring and historical data study, catering to plant teams and management.
