Challenge
Plant process engineers rely on outdated process graphic displays that are no longer supported by the vendors of the source systems. These legacy tools are critical for monitoring plant performance, but lack modern scalability, analytics, and interactive capabilities. Without a migration strategy, organizations risk losing access to essential data, while rebuilding graphics from scratch is costly and time-consuming.
Solution
IOTA VUE provides an efficient migration path by automating the conversion of existing process displays into a modern, supported environment, while enabling enhanced visualization, real-time monitoring, and the integration of advanced analytics. This significantly reduces the manual effort while allowing engineers to revisit and improve their visualization strategy. By migrating existing processes, IOTA VUE allows companies to maintain workflows while expanding functionality to improve situational awareness, optimize plant operations, and empower engineers with deeper insights.
Key Highlights
- Preserve critical process graphics without manual rebuilding.
- Improve visibility with realtime operational insights from additional aggregated data sources.
- Increase operational efficiency when engineers can focus on optimization instead of rebuilding legacy tools.
- Future-proof visualizations with a modern, scalable, and supported platform for long-term value.
Implementation – IOTA VUE In Action
- Migrate Existing Displays: Automatically convert legacy process graphics, such as those from AVEVA PI ProcessBook, into IOTA VUE—ensuring engineers retain familiar visuals without needing to manually rebuild displays.
- Enhance Visualizations & Navigations: Upgrade process graphics with modern visualization tools, streamline workflows, and integrate real-time monitoring—making critical data more intuitive, accessible, and actionable.
- Expand Data Integration: Incorporate additional data sources beyond the original system, providing deeper operational insights and improving plant performance analysis.
- Enterprise-Ready Application: Transition from outdated tools to a web-based, scalable platform to improve accessibility and ensure long-term system sustainability.
