Dynamic Interface Generation for Adaptive Data Models
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Solution Overview
Problem
Current technologies for managing and communicating with connected devices and systems, such as Enterprise Resource Planning, Portals, and Manufacturing Intelligence systems, are rigid and expensive, failing to address dynamic business processes, rapidly changing data, and the need for interactive problem-solving, while also being inaccessible for meaningful data consumption and user-friendly interaction.
Innovation Solution
A data management computing apparatus generates a dynamic representational state of a thing by creating instances with dynamically generated interface structures and associated services, allowing for easy retrieval and execution of service definitions, enabling developers to build and deploy operational solutions without specialized training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If traditional ERP systems and data management solutions are used, then structured business processes and data models are enforced, but adaptability to dynamic business processes and rapidly changing data is reduced
Solution Approach 1:
The patent implements dynamic data models where the system can automatically adapt to changing business processes and data structures. The model allows for real-time modifications to entity relationships, attributes, and data flows without requiring system reconfiguration, enabling the system to respond to dynamic business needs while maintaining structural integrity through automated validation rules.
Solution Approach 2:
The system enables parameter changes in data models by allowing users to modify entity attributes, relationships, and data types dynamically. The model supports parameter validation rules that automatically adjust when data changes, enabling flexible adaptation to new business requirements while maintaining data integrity through automated constraint enforcement.
2Loss of information
If complex multi-year integration projects are executed to pull data from multiple sources, then data consolidation is achieved, but device complexity and maintenance cost increase
Solution Approach 1:
The patent creates a universal data model framework that can integrate multiple data sources and business processes through a single unified structure. The model serves multiple functions including data consolidation, transformation, validation, and presentation, eliminating the need for separate integration projects for each data source while maintaining comprehensive data accessibility across the organization.
Solution Approach 2:
The system implements self-service data integration where the model automatically handles data consolidation and transformation without requiring manual intervention. The automated validation rules and entity relationships dynamically adjust to accommodate new data sources, eliminating the need for complex multi-year integration projects and reducing ongoing maintenance requirements.
3Stability of the object's composition
If rigid data models are used in traditional systems, then data structure stability is maintained, but ease of operation for interactive problem solving is reduced
Solution Approach 1:
The patent enables dynamic interaction with the data model through automated validation rules that adapt to user actions. The system provides interactive problem-solving capabilities while maintaining data structure stability through automated constraint enforcement, allowing users to explore and modify data without risking structural integrity.
Solution Approach 2:
The system implements feedback mechanisms where automated validation rules provide real-time feedback on data changes. This feedback loop maintains data structure stability by automatically correcting or preventing changes that would violate constraints, while simultaneously enhancing ease of operation by guiding users through interactive problem-solving processes with automated guidance and validation.
4Ease of manufacture
If pre-defined reports and rigid interfaces are used, then data consumption is available through standardized channels, but adaptability to current conditions and external data sources is reduced
Solution Approach 1:
The patent implements dynamic interfaces that automatically adapt to current conditions and external data sources. The system generates customized reports and data presentations based on real-time data changes and user requirements, maintaining ease of manufacture through automated interface generation while achieving high adaptability to evolving business conditions and external environments.
Data Source
AI summary
This technology generates a plurality of instances of things each including a dynamically generated interface structure and services associated with and properties of the corresponding one of the things. The services associated with and the properties of one of the plurality of instances of things for a selected one of the plurality of instances of things are retrieved and provided. A service definition for a selected one of the services is retrieved and provided based on the retrieved and provided services associated with and properties for the selected one of the plurality of instances of things. A requested consumption call for the selected one of the services is executed based on the retrieved service definition. A defined result set for the executed consumption call is provided in the dynamically generated interface structure associated with the requested one of the plurality of instances of things.