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Dynamic SVG
About Electric Motor
The Electric Motor component is a high-performance Dynamic SVG specifically engineered for industrial SCADA and HMI visualization. Designed for seamless integration into the Siemens ecosystem, this graphic provides operators with an intuitive, vector-based representation of rotational assets, ensuring clarity at any zoom level without pixelation.
Key Features
- Dynamic State Visualization: Real-time visual feedback of motor conditions through direct PLC tag binding.
- Integrated Safety Overlays: Built-in indicators for warnings and safety locks to improve situational awareness.
- Vector Precision: Optimized SVG paths ensure low memory overhead and crisp rendering on high-resolution displays.
- Global Compatibility: Native support for Siemens industrial software environments.
Customization
This component offers 4 specialized properties for deep integration with your automation logic. The BasicColor property defines the primary housing aesthetic, while MotorColor allows you to dynamically drive the fill of the stator-main element—perfect for indicating 'Running' or 'Fault' states. For diagnostic feedback, the ShowWarning property toggles the visibility of the warning-sign-orange icon, and ShowLock manages the safety-lock overlay to indicate maintenance or lockout-tagout (LOTO) status.
Use Cases
Ideal for process industries, the Electric Motor SVG is perfect for conveyor system dashboards, water treatment pump stations, HVAC ventilation monitoring, and automated assembly line control screens. It provides the essential visual bridge between PLC data and operator action.
Compatibility
This Dynamic SVG is fully compatible with WinCC Unified (PC and Unified Comfort Panels) and WinCC V8. It follows the standard SVGHMI format for easy drag-and-drop implementation within your engineering environment.
⚠️ AI-Generated: This dynamic svg was automatically generated using AI. Please test and validate 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.