Meta Configuration Data Backbone for System Assessment
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Solution Overview
Problem
Current computational analysis methods for system assessments are inefficient due to the need for repeated simulations and data management challenges, especially in larger projects where data needs to be accessed and altered across various stakeholders.
Innovation Solution
A computer-implemented method that collects and filters meta configuration information sets in a database, using labels and context attributes to identify and execute system assessments, enabling a modular and standardized data structure for collaborative data interchange and efficient data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional computational analysis methods are used with repeated simulations, then data can be collected for system assessment, but the process becomes inefficient and time-consuming
Solution Approach 1:
The patent applies preliminary action by collecting and storing meta configuration information sets in a database before the actual system assessment is performed. This pre-prepared data structure includes specification data objects and application plugin information that can be directly utilized during assessment, eliminating the need for repeated simulations and manual data collection, thus improving efficiency while maintaining data reliability
Solution Approach 2:
The patent uses copying by creating a standardized data backbone that replicates successful past assessment configurations. The meta configuration information sets store replicated data structures from previous assessments, allowing these copied data to be reused and adapted for new assessments, thereby avoiding redundant work and improving productivity
2Loss of information
If data is collected from multiple sources for system assessment, then comprehensive information is obtained, but data management becomes complex and difficult to control
Solution Approach 1:
The patent applies segmentation by dividing the configuration data into distinct modules: specification data objects and application plugin information. Each module serves a specific purpose and can be independently managed, filtered, and associated with context attributes. This modular segmentation reduces data management complexity while maintaining comprehensive information coverage
Solution Approach 2:
The patent implements universality through the creation of a universal data backbone structure that can handle multiple types of configuration information. The standardized meta configuration information sets serve multiple functions: storing data, enabling filtering, facilitating collaborative access, and supporting repeated assessments, thereby reducing overall system complexity
3Adaptability or versatility
If configuration data is altered for subsequent analysis, then the simulation can be adapted to new requirements, but the entire data set must be altered and simulation repeated
Solution Approach 1:
The patent segments the configuration data into modular specification data objects that can be independently altered. When subsequent analysis is required, only the relevant segments need to be modified and reassociated with new context attributes, rather than altering the entire data set. This modular approach enables adaptability while minimizing re-simulation time
Solution Approach 2:
The patent applies preliminary action by pre-organizing configuration data into a standardized structure with clear metadata about purpose and context. This pre-prepared organization allows for rapid identification and modification of specific data elements without requiring complete re-simulation, thus reducing time loss while maintaining adaptability
4Productivity
If modular simulation systems are used, then configuration can be altered without changing entire data sets, but data control and accessibility become challenging in larger projects
Solution Approach 1:
The patent implements feedback mechanisms through the standardized data backbone that tracks and records changes to configuration data. The system provides feedback about data provenance, version history, and access rights, enabling better data control and accessibility management in larger projects while maintaining modular configuration capabilities
Solution Approach 2:
The patent uses an intermediary layer in the form of a standardized data backbone that mediates between modular configuration systems and users. This intermediary structure provides controlled access to data, manages permissions, and facilitates collaborative work among stakeholders without compromising the modular nature of the simulation system
Data Source
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AI summary
The present disclosure relates to a computer-implemented method for performing a system assessment, a computer program element for performing a system assessment, a computer storage media and a computer system comprising such computer storage media. The computer-implemented method comprises collecting a plurality of meta configuration information sets of prior system assessments in a database, wherein the meta configuration information sets comprising 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.