Domain Intelligent Solution Framework for System Engineering
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Solution Overview
Problem
Existing systems engineering technologies lack domain intelligence, requiring significant manual input and re-engineering, leading to low productivity, missed requirements, and gaps between system development phases due to the absence of domain awareness.
Innovation Solution
A method and system that utilize a generic language to capture intrinsic knowledge, create domain intelligent solutions, and integrate them with existing technologies as wrappers, enabling domain awareness and reducing manual efforts through a metamodel and translation modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing system engineering technologies are used without domain intelligence, then implementation is straightforward using generic tools, but significant manual input and re-engineering are required leading to low productivity
Solution Approach 1:
The patent introduces a domain intelligence layer as an intermediary between existing system engineering tools and domain-specific requirements. This layer includes domain models, vocabularies, and knowledge bases that translate generic tool capabilities into domain-specific intelligence without requiring complete re-engineering of underlying technologies
Solution Approach 2:
The patent creates a universal domain intelligence framework that can be applied across multiple domains and tools. The framework provides reusable domain models and knowledge representations that work with various existing system engineering technologies, reducing the need for domain-specific re-engineering
2Reliability
If domain knowledge is captured manually from domain experts, then domain awareness can be achieved, but enormous manual efforts are required
Solution Approach 1:
The patent performs preliminary action by pre-defining domain models, vocabularies, and knowledge structures before actual system development. Domain knowledge is captured and organized in advance into reusable frameworks that can be automatically applied to specific projects, eliminating the need for manual knowledge extraction during each development cycle
Solution Approach 2:
The patent uses copying by creating reusable domain models and knowledge representations that can be instantiated across multiple projects. Once domain knowledge is captured in a standardized format, it can be copied and adapted to different applications without requiring重新-capture from domain experts
3Manufacturing precision
If existing technologies are used without domain intelligence, then tool simplicity is maintained, but gaps between requirement and solution occur due to lack of domain awareness
Solution Approach 1:
The patent segments the system into distinct layers: existing generic system engineering tools and a new domain intelligence layer. This segmentation allows the underlying tools to remain simple while the domain intelligence layer provides the necessary domain awareness to bridge requirements and solutions accurately
Data Source
AI summary
A method and system is provided for building domain intelligent solution. The present application provides a method and system for building a domain intelligent solution, comprises of utilizing a language existing as a generic model for capturing intrinsic knowledge pertaining to a technical domain; creating a domain intelligent solution for said technical domain using said language or vocabulary; translating the domain intelligent solution into required wrappers for them to be integrated with a third party technology or tool; and integrating said created domain intelligent solution with the third party technology or tool for providing system engineering capabilities to make them domain intelligent.