Dynamic State Management in Physical System Networks
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Solution Overview
Problem
Current systems for modeling and simulating physical systems lack effective methods to dynamically manage and visualize the state of complex networks, particularly in managing constraints and geometric configurations, which limits their ability to accurately represent and simulate real-world mechanical and electro-mechanical systems.
Innovation Solution
A technical computing environment (TCE) is developed that includes tools for building and executing networks representing systems, allowing for dynamic state management, visualization, and simulation. This environment uses a graphical and textual modeling approach, enabling the specification of targets, scaffolds, and constraints to establish and modify state values based on geometric configurations, and applies operations to generate new state objects, facilitating the simulation of complex systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current systems are used for modeling and simulating physical systems, then basic simulation functionality is provided, but the ability to dynamically manage and visualize the state of complex networks is insufficient
Solution Approach 1:
The system segments the complex network state into discrete state objects, each representing specific geometric configurations and constraints. This segmentation allows the system to manage complex states by breaking them down into manageable, independently trackable units that can be visualized and manipulated separately.
Solution Approach 2:
The patent introduces an intermediary modeling environment that acts as a bridge between the physical system and the simulation. This intermediary layer manages the complexity of state representation by providing standardized interfaces for defining, tracking, and visualizing network states, thereby improving accuracy without directly increasing system complexity.
2Measurement precision
If detailed geometric configurations and constraints are managed, then accurate simulation of mechanical and electro-mechanical systems is achieved, but the complexity of the modeling environment increases
Solution Approach 1:
The system manages geometric configurations and constraints by representing them as changeable parameters within state objects. This approach allows precise control over geometric parameters while maintaining a structured modeling environment. The parameters can be modified, tracked, and visualized systematically, achieving measurement precision without proportionally increasing modeling complexity.
3Adaptability or versatility
If dynamic state management capabilities are enhanced, then the simulation of complex systems is improved, but the existing systems lack effective methods for visualization and management
Solution Approach 1:
The patent creates a universal modeling environment that can handle multiple types of physical systems (mechanical, electro-mechanical, and other complex systems) through a common state management framework. This multi-functional approach enhances adaptability by allowing the same tools and methods to be applied across different system types, while maintaining ease of operation through consistent interfaces and workflows.
Data Source
AI summary
In an embodiment, a network may represent a physical system. The network may have an element that represents an entity of the physical system. A value of a state associated with the network may be identified (e.g., generated) using various techniques. The state may be a low-level state associated with the network. The techniques may include, but are not limited to, for example, generating the value based on a scaffold defined for the network, generating the value based on a target value for the state, and/or generating the value based on applying an operation to various values of the state. The identified value may be associated with an identifier. The identifier may distinguish the value, for example, from other values of other states in the network and/or other values of states in other networks.