Cyber-Physical Graphs for OT-IT System Modeling Granularity
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Solution Overview
Problem
Current methodologies for analyzing interactions between and within complex operational technology and information technology systems lack sufficient granularity, leading to inaccurate predictions and inefficiencies due to the combinatorial explosion of interactions, which limits their ability to model combined systems effectively.
Innovation Solution
A system and method utilizing high-fidelity cyber-physical graphs to create detailed models of operational and information technology systems, performing parametric analyses to identify key components, and iteratively improving these models with in-situ data to enhance predictive accuracy and scalability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current methodologies are used to model combined operational technology and information technology systems, then the systems can be analyzed at a high level, but the modeling lacks sufficient granularity and cannot accurately predict system behavior due to combinatorial explosion of interactions
Solution Approach 1:
The patent segments the combined OT-IT system into separate operational technology components and information technology components, modeling each with appropriate detail. This segmentation allows granular analysis of individual components while managing overall system complexity by treating interconnected systems as composed of distinct, modelable units with defined interfaces.
Solution Approach 2:
The patent applies local quality by using different modeling approaches and levels of detail for different parts of the system. Operational technology components are modeled with higher granularity where precise physical behavior matters, while information technology components use appropriate abstraction levels, allowing each component to be modeled with the quality needed for its specific function.
2Reliability
If high-fidelity models with sufficient granularity are created to accurately predict system behavior, then predictive accuracy improves, but computing resource requirements increase due to the combinatorial explosion of interactions
Solution Approach 1:
By segmenting the system into separate OT and IT components that can be modeled and analyzed independently to a certain extent, the patent reduces the combinatorial explosion of interactions. This allows high-fidelity modeling of individual components without requiring exhaustive modeling of all possible interactions, thereby maintaining predictive accuracy while reducing computing resource requirements.
Solution Approach 2:
The patent applies partial action by focusing computational resources on modeling and analyzing the most critical interactions and components that have the greatest impact on system behavior. Rather than exhaustively modeling all possible interactions, the approach identifies and prioritizes key interaction pathways, achieving sufficient predictive accuracy with reduced computational effort.
Data Source
AI summary
A system and method for analyzing integrated operational technology and information technology systems with sufficient granularity to predict key elements of their composite behavior. The system and method involve creating high-fidelity models of the operational technology and information technology systems using one or more cyber-physical graphs, performing parametric analyses of the models to identify key components, scaling the parametric analyses of the models to analyze the key components at a greater level of granularity, and iteratively improving the models via ongoing search and testing against observed data from the real-world systems.