Cognitive HMI Dashboards: Predictive SCADA Interfaces
HMI%%{init: {'theme':'dark', 'themeVariables': { 'background': '#001c38' }}}%%
flowchart LR
style A fill:#0d1117,stroke:#30363d,stroke-width:2px,color:#c9d1d9
style B fill:#161b22,stroke:#58a6ff,stroke-width:2px,color:#c9d1d9
style C fill:#0d1117,stroke:#238636,stroke-width:2px,color:#c9d1d9
style D fill:#1f6feb,stroke:#388bfd,stroke-width:2px,color:#ffffff
A[Raw PLC Data] --> B[Edge Inference Engine]
B --> C[Predictive Models]
C --> D[Cognitive HMI Dashboard]
Cognitive HMI Dashboards: Predictive SCADA Interfaces
Key Takeaways: Traditional HMIs are purely reactive, reporting issues only after physical deviations occur. Cognitive HMI dashboards use edge analytics to predict failures and offer actionable guidance. Event-driven architectures like MQTT and GraphQL are replacing legacy polling for high-frequency data ingestion. Historical human-machine interfaces were strictly reactive. They displayed current tags and illuminated red when […]