Emerson has upgraded its DeltaV Automation Platform with the DeltaV Version 15 Feature Pack 2 update for its distributed control system (DCS).
This release will help users from other control systems. It also adds a raft of AI features and expands support for data-rich Ethernet device networks while reducing the complexity of state-based control implementations.
In addition, the latest release of the DeltaV control system makes it easier to replace legacy control systems with modern software and controllers while leaving legacy I/O infrastructure in place. Thus, plants can transition from the most common third-party systems rapidly.
“DeltaV Version 15 Feature Pack 2 provides users new functionality, capabilities and enhancements to further expand seamless data and I/O integration as well as applications to more easily modernize their operations, improve connectivity and collaboration, and lock in operational excellence”, says Claudio Fayad, V-P of Tchnology for Emerson’s process systems and solutions business..
Generative artificial intelligence (GenAI) is also part of the platform update. These GenAI features help power companies accelerate growth, improve efficiencies and drive more predictive, reliable and resilient performance to their operations..
Through its AI-based capabilities, the new platform will help support:
- Workforce empowerment. Will work side-by-side with operators to optimize workflows for more effective operations, help diagnose issues. suggest and implement control actions to return to normal, safe operating conditions.
- Remote operations. Will work in tandem with operators at centralized control centers that monitor multiple assets. Act as autonomous guardians that provide prescriptive guidance to help with information processing and decision support.
- Reliable continuous operations. Will predict maintenance requirements, helping mitigate the impacts of common reliability issues such as faulty sensors, mechanical wear, temperature fluctuations and pressure deviations.
- Real-time digital twin simulation, coupled with AI models trained on plant-specific historic operations and maintenance, will recognize abnormal conditions to identify how and why processes are diverging from baseline operations.
- Grid optimization. Facilitated by AI-assisted predictive maintenance, the platform will offer advanced situational awareness that improves decision-making from power generation to delivery, resulting in increased grid stability.
- Security. Robust AI models will be a tool to enhance cybersecurity by improving threat detection, response automation, vulnerability management and overall security protocols.
