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Dynamic SVG
About Motor_Inv_V2
Motor_Inv_V2 is a professional-grade Dynamic SVG designed to provide high-fidelity motor visualization for modern industrial SCADA and HMI applications. This component is optimized for performance and clarity, allowing operators to monitor the physical state of industrial motors within the WinCC Unified and WinCC V8 ecosystems.
Key Features
- Dynamic Visual Feedback: Real-time representation of motor states through bindable color properties and status icons.
- Integrated Safety Indicators: Built-in support for safety locks and prohibition symbols to enhance workplace safety protocols.
- Advanced Alerting: Features a dedicated warning system with customizable visual behaviors to ensure critical issues are never missed.
Customization
The control provides 7 specific properties that can be seamlessly linked to PLC tags for automated updates. Engineers can define the BasicColor for the motor housing and the FinColor to represent different cooling states. Operational clarity is maintained through toggleable indicators including ShowSafetyLock, ShowWarningSign, and ShowProhibitionSign. For critical notifications, the WarningSignColor can be adjusted, and the WarningSignBlink property can be activated to create a high-visibility flashing effect during alarm conditions.
Use Cases
Motor_Inv_V2 is ideal for use in motor control centers (MCC), water treatment facilities, automated assembly lines, and HVAC system monitoring where clear and intuitive equipment status is required for efficient process management.
Compatibility
This control is fully compatible with WinCC Unified and WinCC V8. Its SVG-based architecture ensures that the graphic remains sharp and clear at any scale, from mobile panels to large control room displays.
Note: This Dynamic SVG was generated using AI technology. It is recommended that users perform thorough testing and validation within their specific automation environment before deploying it in a live production setting.
⚠️ 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.