Emerson has introduced DeltaV Edge Environment 2.0, the newest version of its edge technology for delivering OT (operations technology) applications and contextualized control data anywhere in the enterprise. The updated DeltaV Edge Environment 2.0 now supports batch data integration to help life sciences, chemical processing and other batch processing industries apply equipment and process data in analytics applications, AI and machine learning applications, as well as enterprise IT systems, whether on-premises or in the cloud.
Integrating control system data with other systems is known to often be difficult, costly and risky using traditional technologies. Such factors drove the development of this new version of Emerson’s edge technology to address industrial batch processing operations need for frequent data reconciliation, aggregation and validation requiring the ability to bring critical data to varied technologies across the enterprise.
DeltaV Edge Environment 2.0 bridges the gap between OT control systems and IT-focused applications with one-way delivery of data from control systems via a secure, read-only replica of contextualized DeltaV distributed control system data. With control data managed by the DeltaV Edge Environment 2.0 for use at the edge or in the business cloud, users can overlay batch data with process values to identify performance deviations during batch runs. In addition, the increased visibility into batch health enables teams to intervene earlier to prevent costly, off-specification batches.
Emerson notes that DeltaV Edge Environment 2.0 can integrate with the control system configuration hierarchy, helping clarify how configuration changes impact batch execution. This helps OT teams correlate batch-related alarms and events with other system events to quickly identify root causes of production issues.
Claudio Fayad, vice president of technology for Emerson’s process systems and solutions business, said, “Emerson’s DeltaV Edge Environment 2.0 not only unlocks data mobility, but does so while preserving essential batch and process context to improve operational certainty.”
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