What is data backfilling?

Manufacturing facilities across the process industries are increasing their adoption of plant-wide monitoring and diagnostic solutions. Essentially, they’re seeking to capitalize on existing investments in data as a means of improving production efficiency and throughput. One type of diagnostic solution in particular that is seeing a significant uptick in adoption is Control Loop Performance Monitoring (CLPM) technology.

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March 19, 2019 – Monitoring and Diagnostic Solution Positioned for Continued Growth

Control Station announced the latest release of its PlantESP Loop Performance Monitoring solution. The Spring 2019 release further simplifies deployment at sites equipped with the market’s leading data historian while providing enhanced features sought by all single-site, multi-site, and enterprise licensees. The release positions Control Station to capture still greater share of the global monitoring and diagnostic market.

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PlantESP: Connect with PI

Through an automated scan of the Asset Framework hierarchy PlantESP quickly locates elements associated with PID control loops that are used to regulate production.

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What should you consider when tuning PID controllers?

Knowing how to tune a PID loop while satisfying its unique control objective is critical. Fortunately there is a group of descriptive statistics that characterizes a controller’s core performance attributes and that helps you to get the tunings right each time. Below are four (4) KPIs that process control experts frequently use when determining if their new PID tuning parameters are right for the job.

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Fewer Metrics Leads to Better Results

Big Data and IIoT have captured the automation industry’s imagination. A key take-away from all that’s been written is that plant data holds the key to making many production processes safer, more efficient, and more profitable. While there’s growing evidence that Big Data and IIoT are delivering meaningful value, some scientists have begun to wonder if there is a limit to the amount of information that is actually helpful. They’ve posed the question: At what point does information become detrimental to the people who rely on it?

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