Smart App Improves Operations With AI

Description

AVEVA Insight OMI app infuses real-time artificial intelligence into an operator’s decision-making as well as improve overall operational agility. 

 

The smart app provides industrial businesses with an accelerated path toward implementing AI in the control room or on the plant floor, presenting real-time anomaly detection in a context-aware OMI visualization display. It will benefit operators, engineers, and operations managers from various industries including Water and Wastewater, Energy, Food & Beverage amongst others.

 

The AVEVA Insight OMI app introduces AI capabilities into the AVEVA System Platform, formerly Wonderware, and leverages predictive early warning and automatic detection of unusual operational behavior. This provides users with early notification so they can quickly resolve issues before they become critical business problems such as unplanned downtime and production losses.

 

A simple management interface enables operations, maintenance, and production teams to quickly train the AI engine to adapt to the enterprise’s specific implementation. An intuitive thumbs-up or thumbs-down confirmation ensures AI-driven notifications are relevant to the needs of the user and support overall enterprise objectives, with no programming or data science knowledge required. This closed-loop feedback improves the accuracy of the AI prediction engine over time and enables users to see what matters. As anomalous patterns are identified, they can be captured and presented by the app within an organization’s on-premise HMI/SCADA solution, delivering insights directly where operators need it.

 

AVEVA System Platform is a responsive, scalable solution for supervisory, SCADA, HMI, and IIoT applications that integrate with the enterprise processes. It provides a collaborative, standards-based foundation that unifies assets across all facilities for continuous operational improvement and real-time decision support. It offers enterprise-wide standards compliance across processes, functional teams, and sites.

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