Strapping Machine | Dynamic SVG | WinCC Unified & V8

Dynamic SVG

About Strapping Machine

The Strapping Machine is a high-fidelity Dynamic SVG designed for modern industrial SCADA and HMI environments. Known as the Flejadora, this component provides a precise visual representation of automated strapping equipment. It allows operators to monitor the status and mechanical health of end-of-line packaging processes directly within WinCC Unified or WinCC V8 interfaces.

Key Features

• Dynamic Motion Simulation: Visualize mechanical movement through numerical rotation properties linked to motor feedback.
• Process State Visualization: Toggle visibility of straps and sealing actions based on real-time PLC logic.
• Multi-Zone Styling: Individual control over different machine components for clear status signaling.
• Seamless Integration: Designed specifically for the TIA Portal and WinCC ecosystems.

Customization

This component offers 7 bindable properties for deep integration with your automation logic. Users can adjust the BasicColor for the main body and ArchColor for the strapping frame to match corporate standards or machine states. The ReelRotation property allows for a numerical link to PLC tags, providing realistic visual feedback of strap consumption. Visibility triggers like ShowStrap and SealingActive allow for precise process phase tracking, while RollerColor and ControlPanelState provide intuitive visual cues for conveyor operation and HMI health.

Use Cases

Ideal for automated packaging lines, logistics distribution centers, and manufacturing plants where strap application is a critical step in the secondary packaging process.

Compatibility

Works natively with WinCC Unified and WinCC V8. Simply drop the SVG file into your project library and begin binding properties to your tags immediately.

⚠️ AI-Generated: This dynamic SVG was automatically generated using AI. Please test and validate all property behaviors before deploying in a live production environment.

⚠️ AI-Generated: This dynamic svg was automatically generated using AI technology. It may contain errors or unexpected behavior. Users are responsible for testing and validating before using in production environments.