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Dynamic SVG
About Bucket Elevator Internal
The Bucket Elevator Internal is a high-performance Dynamic SVG component specifically engineered for industrial SCADA and HMI visualization. This asset provides a clear, high-fidelity representation of vertical bulk material handling systems, allowing operators to monitor mechanical movement and material flow directly within their WinCC Unified or WinCC V8 environment.
Key Features
- Dynamic Motion Control: Independent control over ascending and descending bucket paths for realistic mechanical simulation.
- Material Visibility: Toggleable material layers to represent loaded or empty states during process cycles.
- Rotational Synchronization: Integrated pulley rotation logic to match belt speed with mechanical drive components.
- Vector Scalability: High-quality SVG rendering ensures crisp visuals at any resolution without performance overhead.
Customization
The control offers 7 specialized properties for deep integration with your PLC logic. Use BasicColor to define the housing aesthetics, while BucketColor and MaterialColor allow for visual differentiation of equipment types and product grades. Operational dynamics are managed via BeltSpeed and BeltSpeedReverse for linear motion, and PulleyRotation for drive shaft animation. The ShowMaterial boolean property provides instant visual feedback on the presence of product within the elevator.
Use Cases
This component is ideal for grain elevators, cement processing plants, mining operations, and food manufacturing facilities where vertical transport of bulk solids is a critical process step.
Compatibility
Fully compatible with WinCC Unified and WinCC V8. The component supports standard HMI tag binding for all dynamic properties, requiring zero custom scripting for deployment.
⚠️ AI-Generated: This dynamic svg was automatically generated using AI. Please test and validate its behavior and performance within your specific hardware configuration before deploying in production environments.
⚠️ 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.