Model-Based System Engineering Tool for Digital Modeling of Systems of Systems
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Solution Overview
Problem
Applying model-based system engineering to complex Systems of Systems (SoS) is challenging due to the complexity of integrating individual system models, requiring excessive computational resources and time, making meaningful analysis infeasible.
Innovation Solution
A method to generate a simplified end-to-end model of SoS using mission metrics and connectivity information, allowing users to select and enhance specific portions of the model for analysis, reducing complexity and resource requirements by creating customizable 'snippets' using SysML.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If individual system models are integrated to form a complete system of systems model, then comprehensive analysis capability is improved, but model complexity and computational resource requirements increase exponentially
Solution Approach 1:
The patent segments the complete system of systems model into multiple independent subsystem models. Each subsystem can be analyzed separately, then results are integrated to achieve comprehensive analysis without requiring the complete model to be loaded and processed simultaneously. This reduces memory requirements and computational complexity while maintaining comprehensive analysis capability.
Solution Approach 2:
The patent introduces a hierarchical dimension to the modeling approach, organizing systems into multiple levels (individual systems, subsystems, and complete system of systems). This allows analysis to proceed from detailed local models to integrated global models, managing complexity by working through dimensional layers rather than attempting to handle the complete model at once.
2Measurement precision
If detailed models of all constituent systems are included in the system of systems model, then analysis accuracy is improved, but computation time becomes prohibitive
Solution Approach 1:
The patent implements partial action by allowing users to select and analyze only specific subsystems or portions of the system of systems model based on their analysis needs. Rather than processing the complete detailed model, the system performs analysis on relevant portions only, significantly reducing computation time while maintaining accuracy for the areas of interest.
3Reliability
If complete system of systems models are used for analysis, then comprehensive verification and validation are improved, but resource requirements become prohibitive
Solution Approach 1:
The patent divides the verification and validation process into segments corresponding to individual subsystems. Each subsystem can be verified and validated independently using its own detailed model, then results are aggregated to provide comprehensive verification of the complete system of systems. This approach maintains thorough verification capability while reducing peak computational resource requirements.
Data Source
AI summary
Described herein are systems and methods for generating digital models for systems of systems. In one or more examples, an end to end (E2E) model of the system of systems can be generated based on information regarding mission metrics and mission threads of the systems within the system of systems, as well as systems and connectivity information. In one or more examples, a user input is received indicating the analysis that is desired to be performed on the system of systems. Based on the received user inputs, in one or more examples, a portion of the E2E system of systems model is selected and copied to form a separate digital model that represents the portion of the system of systems implicated by the user inputs. In one or more examples, the systems and methods add additional information and metrics to the digital model of the portion of the system of systems.