Complex System Knowledge Normalization via Common Taxonomy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Complex systems face challenges in recording and utilizing information to configure, automate, and improve performance, as knowledge generated in one system is not easily applicable to another due to incompatible data formats and taxonomies.
Innovation Solution
A method and system that normalize information using a common element taxonomy, allowing knowledge from one complex system to be translated and applied to another, by monitoring, tagging, and storing information in a database, and using simulation to validate assertions for knowledge generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If information is recorded in the form of all events that occur during operation of a complex system, then complete operational data is captured, but the complexity of utilizing and configuring this information increases significantly
Solution Approach 1:
The patent segments operational information into standardized base element categories (e.g., component, process, system level events) using a common taxonomy. This segmentation allows raw event data to be organized into meaningful categories that can be uniformly processed, reducing the complexity of utilizing the information while maintaining completeness.
Solution Approach 2:
The patent transforms information from its original event format into normalized parameters expressed according to a common base element taxonomy. By changing the representation parameters of the information, the system makes diverse operational data comparable and usable across different complex systems without increasing processing complexity.
2Adaptability or versatility
If different complex systems are operated independently, then each system can be optimized for its specific requirements, but knowledge generated in one system cannot be applied to another system
Solution Approach 1:
The patent creates a universal knowledge representation framework where information from any complex system can be expressed in terms of common base elements. This universality allows the same knowledge structure to serve multiple systems while preserving system-specific optimization, as each system's data can be mapped to the common taxonomy without loss of meaningful information.
Solution Approach 2:
The common base element taxonomy acts as an intermediary layer between different complex systems. It translates system-specific information into a unified representation that can be shared and applied across systems, enabling knowledge transfer while maintaining the ability to optimize for specific system requirements through the intermediary's standardized interface.
3Ease of operation
If information is not normalized to a common taxonomy, then data from different systems maintains its original format, but the ability to apply knowledge across systems is limited
Solution Approach 1:
The patent changes the parameter representation of information by normalizing it to a common base element taxonomy. This parameter transformation enables cross-system knowledge application while maintaining ease of operation, as the standardized parameters provide a consistent interface for accessing and applying knowledge across different system contexts without requiring format conversion complexity.
Data Source
AI summary
Described herein are a method and system for managing complex systems knowledge. Information generated during operation of a complex system is monitored. This information is normalized to a complex system base element that is expressed according to a standardized element taxonomy. During normalization, the information inherits characteristics of the base element. Following normalization, the information is stored in an information database. This information can be used to do any one or more of design, construct, operate, automate and otherwise configure another complex system.