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Dynamic SVG
About Production Machine Line
Production Machine Line is a high-fidelity Dynamic SVG component designed to provide a comprehensive visual overview of industrial manufacturing processes. Engineered for seamless integration into WinCC Unified and WinCC V8, this asset allows operators to monitor complex multi-stage lines with precision and clarity through a scalable, vector-based interface.
Key Features
- Modular Monitoring: Supports up to 12 individual machine stations within a single unified graphic.
- Dynamic Motion: Real-time rotation and conveyor speed synchronization powered by live PLC data.
- Diagnostic Visuals: Integrated sparklines and status indicators for each machine module.
- High Performance: Lightweight SVG architecture ensures smooth performance on both web clients and local panels.
Customization
The control offers 43 bindable properties for deep integration. Operators can visualize mechanical movement using Machine1Rotation through Machine12Rotation, and manage line flow via the ConveyorSpeed property. Visual layouts are fully flexible; use the MachineVisible toggles to match the graphic to your actual factory floor configuration. Status monitoring is simplified through properties like MachineStatusColor and MachineSparklineColor, allowing for immediate identification of bottlenecks or faults.
Use Cases
This component is ideal for automotive assembly lines, food and beverage packaging systems, and automated logistics centers. It is particularly effective for high-level overview screens where tracking the synchronized state of multiple machines is critical for operational efficiency.
Compatibility
Fully compatible with WinCC Unified and WinCC V8. The asset is designed to be dropped directly into your engineering environment and bound to process tags without additional scripting.
⚠️ AI-Generated: This dynamic SVG was automatically generated using AI. Please test and validate all property bindings and animations 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.
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