Seeq Corporation announced the R21, an advanced analytics solution for process-manufacturing customers.
R21 features reflect both the growing use of Seeq for publishing analytics-based views to other employees, and the increased complexity of the use cases where engineers use Seeq. For publishing insights, Seeq has expanded “scorecards,” a feature for the display of calculated tables in Seeq Workbench and Organizer. Scorecards are used for tabulated metrics, measurements, and other summary data, and may be presented in tables with conditional formatting support and user-defined columns, for example roll-ups by batch or plant.
In addition to new scorecard and other features, R21 also adds frequency-analysis capabilities, often referred to as “FFT,” to transform segments of a time-series signal into the frequency domain. Seeq users access the frequency analysis tool via an intuitive panel that guides them through the transformation process and displays results as a power spectrum. They can also access FFT functionality as a formula in Seeq’s scripting environment.
Viewing and analyzing data in a frequency domain is a common requirement in oil & gas, power generation, and other process industries as it helps engineers understand what is causing variability and the best way to deal with it. Engineers could use FFT to understand variation of equipment and process to:
- Identify process oscillations due to poorly tuned controllers or sticking control valves
- Identify controllers oscillating with a common frequency
- Identify process variation due to poor operation or incorrect functioning of the process or equipment
- Identify process changes happening at common intervals, and identifying changes in these oscillations, which may indicate problems
R21 expands Seeq’s recent focus on enabling larger deployments through scalability features and making the Seeq applications easier to use. R20 features, released earlier this year, include the ability to have live updates to Seeq Topics, which publish insights from Seeq to other users; expanded machine-learning functionality for customers doing predictive analytics with Seeq; and an improved query model for customers accessing contextual data from SQL-based data sources to provide faster connections to big data sources.
“The rapid pace of Seeq innovation is leading to bigger customer engagements and even faster insights and impact from production data,” says Steve Sliwa, CEO and co-founder of Seeq Corporation. “We are growing the organization quickly to keep up with customer needs in training, use-case development, and core feature development.”
"Seeq continues to release compelling analytics solutions for customers in process manufacturing and Industry 4.0 engagements," says Janice Abel, principal analyst at ARC Advisory Group. "The need for faster and better insights is a consistent requirement for customers investing in IIoT and smart manufacturing."