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Improved control and maximized production of high-value Natural Gas Liquids can significantly increase plant profitability by yielding a source of revenue.

This paper introduces a benchmark challenge called the "Arc Loss Challenge." The challenge is designed to enhance the evaluation and comparison of learning algorithms and overall data preprocessing workflows for data-driven process monitoring, specifically focusing on fault detection and diagnosis in large-scale industrial operations, such as mining and pyrometallurgy.

The adoption of Industry 4.0, also known as the large-scale digitalization of industrial businesses, is rapidly changing the way industrial operations are run. This digital transformation has required significant investments from operating companies and their partners in operations technology and information technology.

A practical, experienced approach to advanced control in mineral processing. "The ability to shave even a few percentage points off total energy consumption per ton can result in huge increases to a facility's bottom line, along with substantial improvements to efficiency and sustainability."

After 25 years of innovation, the DeltaV control system continues to deliver new capabilities while maintaining full support for its installed base. In this article, we will review the evolution of the DeltaV controllers over the last 20 years as well as discuss how the PK controller makes use of proven in use design features found in existing DeltaV hardware. DeltaV users have continually driven the need for increased controller capacity with ever evolving requirements. In addition to CPU performance and many hardware design features, PK controllers also deliver integrated Ethernet protocols for motors and drives, as well as data servers such as OPC UA. The PK controller family is a step change in DeltaV controller capabilities, and just one of the next generation deliverables available in Version 14.

Don’t let outdated operator interfaces be a barrier for your organization’s business objectives. Increasingly, we are being asked to prepare for the challenges of a changing digital workforce, remote work locations, and data portability. Empower intelligent decision-making through human-machine interface improvements while also optimizing the user experience and using technology to aggregate data before there is a demand for it. Here are some strategies to get that long overdue HMI overhaul off the ground.

There is tremendous business value, which can be generated with modern information technology and data science when applied to operational data, but the ‘digital plumbing’ required to manage this data cannot be overlooked. In Part 2 of this blog series, we look at approaches that are being commonly deployed to address these issues today.

Industrial data of all types is critical to the digital transformation and Industry 4.0 programs ongoing in the process industries. What has proven challenging for many organizations, is finding a scalable approach to the connectivity, consolidation and contextualization of these diverse operational technology (OT) data sets.