Honeywell UOP Introduces IIoT Offering to Improve Plant Performance

• New cloud-based offering to help increase plant utilization and performance and avoid production interruptions
• Leverages company's unparalleled domain expertise and broad installed base to expand Honeywell's Industrial Internet of Things offerings

KUALA LUMPUR, Malaysia and BANGKOK, Thailand, Sept. 22, 2016 /PRNewswire/ — Honeywell (NYSE: HON) UOP today introduced a new software-based service designed to allow refiners and petrochemical and gas processing plants to improve performance.

Honeywell UOP's new Connected Performance Services (CPS) business leverages the Industrial Internet of Things to tap Honeywell's deep process knowledge, design expertise, and understanding of catalysis with next-generation software platforms from Honeywell Process Solutions, the leading provider of software-based solutions for the process industries.

"This cloud-enabled service makes plants smarter and more responsive," said Zak Alzein, vice president for CPS. "Problems that caused plants to be less efficient or less productive and that went undetected for weeks or months now can be resolved quickly and proactively, and decisions that used to take days now can be made in hours. For many plants, the avoidance of downtime and suboptimal performance, and better agility can be worth millions of dollars per year."

The CPS offerings include applications to address critical challenges for refineries and petrochemical and gas processing plants, including better asset utilization, unplanned downtime, energy efficiency, and gaps in expertise as plants becomes more sophisticated and experienced engineers retire. The CPS offerings are part of the larger IIoT ecosystem being built by Honeywell to allow end users to harness IIoT technology to tap the deep expertise of Honeywell UOP and other leading suppliers and partners.

At the heart of the CPS offering is a cloud-based software service that continuously monitors streaming plant data and applies advanced analytics and machine learning, leveraging UOP process models and best practices to find latent or emerging underperformance, alert plant personnel and make specific operational recommendations. The system runs continuously with user-friendly digital dashboards that provide highly intuitive context and actionable understanding of a plant's performance. The same dashboards are reported simultaneously to a dedicated Honeywell UOP process advisor who also monitors performance and can provide additional direction and resources.

In addition to identifying underperforming assets and anticipating equipment failures and process issues, Honeywell can monitor and help manage energy use to support compliance with stricter regulatory standards, and also can bridge knowledge gaps among personnel who may not be fully experienced with their equipment. Roughly half of the industry's most highly-tenured staff are expected to retire in the next seven years.

"The unique feature to this solution is the combination of customer operating data and UOP expertise that provides plant personnel with early-stage warnings that identify performance improvements," Alzein said. "Advancements in software, instrumentation and Big Data capabilities have finally converged, which makes it possible for the first time to offer a cloud-based IIoT solution that brings the connected plant to the oil and gas industries. That combination is made even more powerful by UOP's century-long knowledge of process technology, equipment, catalysis and commercial best practices."

Honeywell UOP's CPS platform is designed around the user experience, providing a practical interface that is easy to read and understand and that provides quick and easy analysis and recommendations.

Operators can get to the bottom of an issue in just a few clicks, giving staff time to address the problem quickly or before it becomes more serious. By leveraging powerful embedded root cause analysis models, it puts critical performance information at the user's fingertips to improve performance and offers predictive insights to identify issues well before they could result in costly problems.

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