Data Historian

Assembly Line

Seeq and AspenTech accelerate self-service industrial analytics on AWS

📅 Date:

✍️ Authors: Preet Virk, Ben Bishop, Stephane Rioux

🔖 Topics: Data Historian, Manufacturing Analytics

🏢 Organizations: Seeq, AspenTech, AWS


With Seeq powered by the wealth of data stored in IP.21 running on AWS, you can clean, perform calculations on, and analyze IP.21 data—including context from relational data sources such as MES, batch, and other applications—to diagnose and predict issues and share findings across the organization. With NRT expert collaboration and deeper insights, Seeq helps organizations advance toward their sustainability and operational excellence goals. By tapping into rich data from IP.21, Seeq helps substantially reduce maintenance costs and minimize downtime. You can set up advanced workflows like ML with data-driven, state-of-the-art methods already proven in critical industries using the Seeq SaaS platform in conjunction with the AWS Cloud. The Seeq SaaS solution is listed on AWS Marketplace, making it easier to procure, deploy, and manage your workload.

Read more at AWS Blogs

Exploring Manufacturing Databases with James Sewell

Control System Process Data Archiving: Strategy and Methodology

📅 Date:

🔖 Topics: Industrial Control System, Data Historian


Data stored in a historian server is useful for analysis and troubleshooting. Learn about data archiving techniques for control systems, as well as what type of data is stored and the tools to make it happen. Real-time process data in the EMS/DMS/SCADA system is stored in the relational database and only holds the current values of the measurement and status of the object. Therefore, it has no knowledge of process history. Historical data stored in the archiving/historian server can be viewed by reports, trends/curves, and single-line diagrams using the operator workstation.

Read more at Control Engineering