What are the different types of RA PLC data that can be collected?
RA PLCs contain control program values, production counts, equipment statuses, sensor measurements, alarms, events, histograms, trend data, logic flags, and controller diagnostics.
What are the different ways to collect RA PLC data?
Tag-based reads, message instructions, database queries, file access, explicit messaging, OPC UA, and leveraging PlantPAx are common PLC data collection approaches.
What are the different ways to upload RA PLC data to AWS?
Object storage in S3, streaming via Kinesis, relational databases like RDS, NoSQL databases like DynamoDB, SFTP transfers, Direct Connect, and Snowball devices are options.
What are the different options for storing and managing RA PLC data in AWS?
S3, RDS, DynamoDB, Redshift, EMR, Glacier, Athena, OpsHub, and MSK provide different object, file, relational, NoSQL, streaming, and big data management capabilities.
What are the different tools and services for analyzing and visualizing RA PLC data in AWS?
QuickSight, Athena, EMR, Redshift, SageMaker, Elasticsearch, Kibana, and Looker offer analytics, business intelligence, and machine learning capabilities.
What are some examples of how RA PLC data is being used in AWS?
OEE monitoring, predictive maintenance, asset utilization, quality optimization, energy management, traceability, and simulation modeling are common use cases.