Features

October 8, 2012

User Feedback Drives DeltaV Enhancements

Continuing Emerson Process Management’s focus on human-centered design, a number of significant upgrades have been made to the newest version (v12) of DeltaV, many of which stem directly from end-user input.

Chief among the newest group of enhancements are DeltaV SIS with Electronic Marshalling, AMS Device Manager, and Batch Analytics.

The v12 DeltaV SIS CHARMs Smart Logic Solver (CSLS) uses electronic marshalling concepts to deliver unparalleled flexibility in deploying DeltaV SIS to support any safety instrumented system (SIS) installation requirements. Built on the success of DeltaV SIS modular logic solver concepts, the CSLS will support a wide array of I/O types. Later releases are planned to support other I/O types including intrinsically safe I/O, eliminating the need for external barriers for safety. With reduced engineering and faster project execution, v12 DeltaV SIS with Electronic Marshalling simplifies safety system design, engineering, and ultimately project execution.

AMS Device Manager in v12 extends asset support to easily include more and varied assets such as fire and gas detectors. The addition of PROFIBUS PA provides a complete PROFIBUS solution with the DeltaV control system and the new DTM (Device Type Manager) Launcher allows users to access expanded functionality in HART and Foundation Fieldbus devices. In addition, AMS Device Manager now integrates with Beamex’s CMX calibration software to enhance the calibration functionality already available in AMS Device Manager. An automated backup and recovery feature ensures continuous retention of data and integration with Guardian keeps all DD files updated on the latest revisions.

Addressing the issues of batch variation and associated costs for loss and rework, the Batch Analytics feature in DeltaV v12 captures historical information on the best batches, and uses that data to generate models, make end-of-batch quality predictions, and alert operators of deviations. Operators learn immediately from an easy-to-understand interface when any aspect of the batch is deviating from spec, as well as why it is deviating. With this information, operators are better equipped to understand their process and make real-time decisions impacting the quality of the batch.
 

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