Meta Configuration Data Management for System Assessment
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Solution Overview
Problem
Existing computational analysis methods for technical systems require extensive configuration and data management, making it inefficient to alter or reuse simulation setups, especially in large projects where data control and accessibility are critical.
Innovation Solution
A computer-implemented method for performing a system assessment that collects meta configuration information sets from prior assessments, associates and labels specification data objects and application plugin information based on context attributes, filters to find required data sets, and executes the system assessment using these filtered meta configuration information sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional computational analysis methods are used to perform system assessments, then the analysis can be conducted with detailed configuration data, but the process becomes inefficient when alterations or reuse of simulation setups are required
Solution Approach 1:
The patent segments configuration data into modular meta-configuration information sets that can be independently stored, retrieved, and reused. Each meta-configuration set represents a discrete simulation setup that can be selectively applied without recreating entire data structures, thereby improving productivity while managing complexity through organized modularity.
Solution Approach 2:
The patent implements copying by storing meta-configuration information sets that represent reusable simulation templates. These copied configurations can be retrieved from a database and applied to new assessments without recreating the entire setup, significantly improving efficiency when performing similar analyses while maintaining data integrity through standardized copying mechanisms.
2Adaptability or versatility
If simulation configurations are altered for subsequent analyses, then the analysis can be adapted to new requirements, but the entire data set must be recreated rather than modifying specific parts
Solution Approach 1:
The patent applies preliminary action by pre-organizing configuration data into standardized meta-configuration information sets that are stored in a database before actual simulation needs arise. This preliminary structuring allows rapid retrieval and adaptation to new requirements without time-consuming recreation, balancing adaptability with time efficiency through advance preparation of modular configuration templates.
Solution Approach 2:
The patent implements dynamics by enabling flexible combination and modification of meta-configuration information sets based on specific assessment requirements. The system dynamically assembles appropriate configuration subsets from stored templates rather than using static, monolithic data structures, allowing efficient adaptation to varying simulation needs while maintaining organized data management.
3Productivity
If configuration data is collected from various sources for each simulation, then the analysis can be customized, but data control and accessibility become difficult in large projects
Solution Approach 1:
The patent applies universality by creating a standardized database structure that stores meta-configuration information sets with consistent formatting and metadata. This universal structure serves multiple functions: storage, retrieval, validation, and reuse across different simulations and users, improving both productivity and ease of operation by eliminating the need to collect and organize data differently for each simulation project.
Data Source
AI summary
A computer-implemented method for performing a system assessment, including: collecting a plurality of meta configuration information sets of prior system assessments in a database, wherein the meta configuration information sets including a plurality of specification data objects and application plugin information, associating the plurality of specification data objects and the application plugin information with at least one context attribute based on their purpose during performing the system assessment, labelling at least one of the specification data objects and the application plugin information using at least one label in regard to at least one context attribute, filtering the plurality of meta configuration information sets to find a meta configuration information set required for the system assessment based on at least one label, and executing the system assessment based on the meta configuration information set found by filtering.