Hierarchical Data Binding for Scalable Industrial Web Interfaces
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Solution Overview
Problem
Existing user interface design for industrial processes is time-consuming and inefficient, requiring manual coding and reconfiguration for each process, especially when managing multiple machines, and lacks scalability.
Innovation Solution
A system for designing graphical user interfaces that allows users to select preprogrammed components, associate data values with properties, and establish data bindings between subtrees, enabling dynamic updates and scalability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual coding and reconfiguration is used for each industrial process, then the user interface can be customized for specific processes, but the design time and complexity increase significantly
Solution Approach 1:
The system segments the user interface into reusable template components (headers, footers, navigation bars, data display modules) that can be independently configured and assembled. This allows rapid construction of customized interfaces without manual coding of entire pages, reducing design time while maintaining adaptability.
Solution Approach 2:
The system performs preliminary action by pre-configuring standardized template components with common industrial process display patterns. These pre-programmed templates contain default structures, styles, and data binding logic that are prepared in advance, enabling designers to quickly adapt them to specific processes rather than creating everything from scratch.
2Device complexity
If manual coding is required for user interface design, then precise control over interface structure is achieved, but the difficulty of operation increases for non-programmers
Solution Approach 1:
The system introduces a visual template selection interface as an intermediary between the user and the underlying code structure. Users interact with graphical templates and configuration parameters rather than writing code directly, while the system automatically generates the precise interface structure and data bindings, making the process accessible to non-programmers without sacrificing control precision.
Solution Approach 2:
The system enables self-service by allowing users to configure interfaces through template selection and parameter adjustment without requiring programming knowledge. The automatic data binding system handles the complex connections between interface elements and process data, performing the technical work that would otherwise require manual coding.
3Manufacturing precision
If interfaces are designed from scratch for each process, then specific process requirements are met, but scalability to multiple processes deteriorates
Solution Approach 1:
The system implements universality through reusable template components that can serve multiple processes. A single template design can be instantiated and configured for different industrial processes, maintaining process-specific accuracy through parameter customization while enabling scalability across multiple applications without redesigning from scratch.
Solution Approach 2:
The system uses copying by allowing templates to be replicated and instantiated multiple times across different processes. Each copy can be configured with process-specific parameters and data bindings, enabling rapid deployment to multiple processes while maintaining the precision needed for each specific application.
4Measurement precision
If hard coding is used to update machine information, then data accuracy is maintained, but the time and effort required for updates increase
Solution Approach 1:
The system implements self-service through automatic data binding between template components and process data sources. When process data changes, the bound interface elements automatically update themselves without requiring manual intervention, maintaining data accuracy while dramatically improving update efficiency compared to hard-coded solutions.
Solution Approach 2:
The system establishes feedback loops between data sources and interface displays through automatic binding. Changes in process data automatically trigger updates in the corresponding interface elements, ensuring data accuracy is maintained while eliminating the manual update process that reduces productivity.
Data Source
AI summary
A system provides a design interface for designing and implementing graphical user interfaces that users can access through web browsers. Depending on the configuration of the graphical user interfaces, the users may be able to monitor and control industrial processes by interacting with components that correspond to the industrial processes as displayed in user interfaces at client devices. The design interface includes functionality for selecting preprogrammed components, or for generating new components for display. The design interface further allows designers to associate data values received from a variety of sources with properties of the components in the user interfaces. In particular, properties associated with a component of an interface are stored in property tree structures, making dynamic changes to the components possible. Data bindings between subtrees representing components and sets of data from industrial and other sources allows for designs that scale with the availability of the data.