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Custom Web Control
About Kanban board
The Kanban board is a professional-grade Custom Web Control (CWC) engineered for Siemens WinCC Unified and WinCC V8. It provides a robust task management interface directly on the factory floor, allowing operators to oversee complex production workflows with a modern, drag-and-drop board. By integrating this control, users can bridge the gap between high-level planning and real-time execution.
Key Features
- Dynamic Workflow Management: Organize tasks across four customizable columns using the todoColumnLabel, progressColumnLabel, reviewColumnLabel, and doneColumnLabel properties.
- Advanced Bulk Operations: Enhance productivity with multi-select capabilities, allowing for simultaneous moves or deletions via the bulkMoveLabel and bulkDeleteButtonText.
- Seamless Integration: The control triggers specific events like TaskMoved, SelectionChanged, and TaskCreated, enabling immediate synchronization with your PLC logic or database.
- Data Interoperability: Utilize the importButtonText and exportButtonText features to handle task data in standard JSON format via the boardData property.
Customization
The Kanban board is highly flexible. Developers can adjust the backgroundColor to match the HMI theme and customize all UI text, including the newTaskButtonText and safety dialogs such as confirmDeleteMessageText. Programmatic control is provided through methods like addTask, deleteTask, and setBoardData.
Use Cases
This control is ideal for maintenance task tracking, managing production orders, shift-change documentation, and monitoring batch processing stages in real-time industrial environments.
Compatibility
Optimized for WinCC Unified (TIA Portal) and WinCC V8. It supports standard web technologies and provides full access to properties and methods within the TIA Portal engineering environment.
⚠️ AI-Generated: This custom web control was automatically generated using AI. Please test and validate before deploying in production environments.
⚠️ AI-Generated: This custom web control 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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